A Model of Two-Sided Costly Communication for Building New Product Category Demand Yi (Michelle) Lu and Jiwoong Shin∗ August 2015 Abstract When a rm introduces a radical innovation, consumers are unaware of the product's uses and benets. Moreover, consumers are unsure whether they even need the product. In this context, we model the marketing communication process as a two-sided process that involves both rms' and consumers' costly eorts to transmit and assimilate the novel product concept. Its success endogenously generates consumers' need recognition and thereby market demand for a novel product. We study a rm's dierent information disclosure strategies for a radical innovation. We nd that sharing an innovative idea, instead of extracting a higher rent by keeping the idea secret, can be optimal. A rm may benet from the presence of competitors and their communication eorts. The innovator can share an innovation so that competitors can also prot and thus have incentives to create and expand the market. Keywords: Communication, information disclosure, endogenous demand, strategic . complementarity, strategic substitutability, free-riding ∗ Yi (Michelle) Lu: 165 Whitney Avenue, P.O. Box 208200, New Haven, CT 06520, [email protected]; Jiwoong Shin: 165 Whitney Avenue, P.O. Box 208200, New Haven, CT 06520, [email protected]. We thank Arthur Campbell for his many insightful comments and suggestions through numerous conversations. We would also like to thank Jaehwan Kim, Vineet Kumar, Subrata Sen, K. Sudhir, and seminar participants at CEIBS, HKUST, McGill University, UC Riverside, and Yale University for their helpful comments. 1 Introduction In 2014, within four years of its IPO, Tesla Motors had already achieved a market value half that of Ford's. 1 That same year, the company decided to share all of its patents with other car manufac2 This turing companies, opening its vault to expand the long-range electronic car market category. controversial move wasn't entirely unprecedented. In the semiconductor industry, for instance, it is common practice for an innovative rm one that that has developed a new generation of processor to license its innovation to one or more competing rms. This strategy creates multiple sources 3 of supply (Semiconductor Licensing Trends 2013 ) and can spur broader product demand for the next generation semiconductor (Shepard 1987). In fact, publicly releasing innovative technology has become a routine practice in high-tech markets, with many companies following similar practices. For some products, rms pre-announce an innovation by revealing the details and marketing plans for the product well in advance of its release, practically inviting competitors to participate in the category. Consider Google: In April 2012, Google announced its marketing plan for the new product, Google Glass a radical wearable technology. Interestingly, the product was at the conceptual stage; Google had not even developed a prototype. Rather, the Google Glass Team posted a video about an ideal day using their (then) imagined product. The design team shared prototype ideas online. Google marketed Glass so early that Samsung, Microsoft, Intel, and many other technology companies quickly followed and announced they would commercialize a similar product in the mass market. Although the project was declared a failure due to consumer concerns over privacy and 4 in January 2015, Google ocially announced its plan to withdraw the product social awkwardness from the market many industry experts acknowledge that Google Glass fostered a market for new wearable technologies. 5 Nowadays, technology experts widely recognize wearable technology like the 6 Apple Watch and Samsung Gear as the next big thing for consumers : in 2014, wearable technology 7 and has thus far generated $3 billion in revenue; and it is estimated to grow to $6 billion by 2016 $19 billion by 2018. 1 8 https://www.washingtonpost.com/opinions/charles-lane-tesla-takes-on-car-dealerships-in-a-ght-to-the- death/2014/03/12/2956a9f2-a9-11e3-8599-ce7295b6851c_story.html. 2 3 http://online.wsj.com/articles/tesla-motors-says-it-will-allow-others-to-use-its-patents-1402594375. Trends and Opportunities in Semiconductor Licensing: http://www.skyworksinc.com/downloads/press_room/published_articles/Les_Nouvelles_122013.pdf. 4 5 http://www.cnn.com/2015/01/20/opinion/pease-google-glass-what-went-wrong/ 4 Ways Android Wear Can Succeed Where Google Glass Has Failed,: http://time.com/79972/androidwear- google-glass-wearables/, Why Google Glass Failed (But Might Still Succeed),: http://www.lifehacker.com.au/2015/01/why-google-glassfailed-but-might-still-succeed/ 6 7 Get Ready: Wearable Tech is About to Explode, http://www.entrepreneur.com/article/229347#. Google Glass Woos Developers to $6 Billion Wearable Market: Tech, http://www.bloomberg.com/news/2013- 05-13/google-glass-woos-developers-to-6-billion-wearable-market-tech.html. 8 Wearable tech revenue to hit $19B by 2018, http://www.cnet.com/news/wearable-tech-revenue-to-hit-19b-by- 2018/. 1 In the examples of Tesla and Google Glass, rms released key information on a new technology or product into the public domain. This behavior is curious since this type of information is usually considered a trade secret that serves as a key competitive advantages against potential competitors. When companies market a half-baked idea or share a technological breakthrough, they risk prematurely disclosing a potentially disruptive innovation. This may lead to greater competition and weak appropriability in the product market competition. This is why rms sometimes opt for great secrecy around new products: to maximize their competitive surprise (i.e. Apple's iPhone). In this research, we focus on the introduction of revolutionary new products and rms' marketing strategies for such products. Specically, we try to explain the puzzling dierences in information disclosure strategies among innovating rms: how much do these rms choose to keep secret, and how much of their innovation do they reveal? We propose an explanation for why a rm sometimes shares an innovative idea with competitors, which might potentially undermine its dominant position in the market, and when this choice (as opposed to keeping the innovation secret) is optimal. Our explanation is based on the persuasion motive of rms in communication and the strategic role of consumers. When a rm introduces a novel product for which the market does not exist, consumers do not understand the product's uses and benets. product. They are even unclear as to whether they need the In this context, the role of marketing communication is to educate consumers and en- courage them to deliberate their potential needs, and thus increase product acceptance. In contrast to incremental innovations, where consumers generally know the benets from the category, and can passively learn about the value of new features from advertising, consumers bear relatively high costs to learn about the potential benets of revolutionary new products. Therefore, a key challenge to marketing radical innovation is persuading consumers to expend more eort in paying attention to the content, assimilating the new idea, and deliberating their needs by examining an unproven product category. For example, consumers can be aware of new wearable technology products like Google Glass from advertising alone. However, awareness of a radical product does not necessarily translate into consumers' need recognition or product acceptance. Consumers might be unwilling to incur further learning costs for a product that seems to aim at tech geeks and not them. The potential promise of wearable technology can fail to emerge and expand as a category due to con- 9 Marketers therefore need to not only advertise the product and sumers' aversion to costly eort. its features, but also create the right marketing environment in which customers are willing to invest in costly learning. Without consumers on board, the rm's eort alone is insucient to convey the new idea and convince consumers that they need the product. We model marketing communication for a radical product as two-sided costly communication, a process that involves both rms' and consumers' eorts to transmit and assimilate information 9 Glass, Darkly for its wearable computer to be accepted, Google must convince people that the device isn't creepy, MIT Technology Review, http://www.technologyreview.com/review/524576/glass-darkly/. 2 (Dewatripont and Tirole 2005, Wernerfelt 1996). This two-sided perspective of communication is widely recognized in sociology and economics, but has not yet been embodied into formal modeling in marketing literature. Most marketing literature considers marketing communication as one- sided costly communication; that is, only rms exert communication eort (such as advertising) and consumers eortlessly become informed. Such one-sided communication is reasonable in many situations where consumers know about the product and their needs (for example, existing product categories and incremental innovations). However, one-sided communication is not applicable to radical innovation, in which consumers are clear neither about the uses and the benets of a product nor their needs for it. 10 When a rm communicates the values of radical innovations to consumers, consumers have to expend eort in learning about the product and considering whether it suits their needs. In this paper, we recognize that the acts of both formulating and absorbing the content of a communication are privately costly, and it takes both parties (i.e., rms and consumers) for 11 Through this two-way communication process, consumers can come communication to succeed. to understand product's uses and benets, and become potential buyers. Therefore, successful marketing communication is a critical process whereby a rm creates a market for a novel product. In the situation where two-sided costly communication plays an important role in endogenously creating and expanding the demand for the new product, the rm's incentive to disclose its innovation to competitors or to keep it secret is determined by the trade-o between the two eects. On the one hand, by disclosing its innovation to competitors, rms can invite the competitors to share costly communication eorts and thus expand the total market size through cooperation in communication stage. Nevertheless, this demand-enhancing eect does not necessarily arise because of the free-riding incentive of rms that is, rms may not expend costly eorts to increase the total 12 However, we show that when demand, and may instead simply free ride on the other rm's eorts. both rms' and consumers' communication eorts endogenously determine the market demand for the new product, strategic consumers alleviate the potential free-riding eects of rival rms. By inviting the competitor, the innovator can credibly commit to providing consumers with greater surplus, which increases the incentives for consumers to expend more costly eort in deliberating about the new innovation. In turn, this increased consumer eort encourages rms further to put 10 We follow the notion that a radical innovation is a new product that represents substantial improvements in technology or consumer benets (Chandy and Tellis 1998) and thus consumer preferences for such products are not yet fully formed (Christensen 2003). On the other hand, incremental innovation concerns an existing product or service whose performance has been enhanced or upgraded. Consumes already have a stable preference for such products. 11 In reality, we can observe the necessity of two-sided eorts in a wide variety of scenarios; for example, when a teacher tries to convey a new idea to students, if the students are not interested or do not spend time to pay attention or think, they will not absorb and internalize the new knowledge no matter how hard or clearly the teacher tries to elaborate. On the other hand, no matter how hard students try to learn, if the teacher does not explain things clearly then, the idea is hardly understood and accepted by the students. Both eorts are necessary for the communication to succeed. 12 The eects of free-riding on competitor's service eorts on retail competition (also, known as showrooming eect) is analyzed in Shin (2007). 3 more eort into the communication stage. This complementarity in communication between rms and consumers through consumers' strategic decision mitigates the potential free-riding problem. Therefore, to induce greater consumer eorts, an innovator may benet from inviting competitors by sharing an idea. On the other hand, the rm can achieve competitive advantage and greater market share in the product market by keeping the innovation secret. Even though the innovating rm will bear all the costs for communication and creating the market, it can then enjoy a monopoly situation in the product market. These two eects are related to the fundamental issue rms often face whether to focus on maximizing their market share (which can be achieved by keeping the innovation secret) or on increasing the total market size (which can be achieved by sharing their innovation with competitors). Understanding these tradeos enables us to understand an important issue of coopetition (Brandenburger and Nalebu 1996): whether to cooperate with competitors to reach a higher value creation (e.g., market expansion) or struggle to achieve a competitive advantage without cooperation. In our model, we analyze the strategic interactions not only among rms that compete with each other, but also between rms and consumers who jointly create market demand through communication. The game involves three players (two rms and consumers) and each makes multiple decisions at dierent stages; these are endogenously interlinked. By analyzing the entire game, we identify conditions related to demand and product market competition under which an innovator should disclose an innovation, inviting competitors into the market. The remainder of this paper proceeds as follows. In section 2, we relate our paper to the existing literature in marketing and economics. Section 3 presents the model, and section 4 provides our main results and analysis. In section 5, we extend our model and Section 6 concludes. 2 Literature Review This paper is related to several streams of research. First, it contributes to the literature on a rm's communication strategy by highlighting the two-sided costly eorts in the communication process. Marketing communication is typically viewed as one-sided costly communication, with rms bearing all the costs. In those models, consumers eortlessly become informed and recognize their needs once they are exposed to a rm's advertising. In contrast, we recognize that the success of communication requires both a rm's persuasion eorts and consumers' learning or elaboration eorts. Wernerfelt (1996) is the rst paper that recognizes marketing communication as teamwork between rms and consumers, and he suggests that an ecient communication plan should induce the ecient division of labor between the two parties. Dewatripont and Tirole (2005) formalized this perspective and developed a formal model of communication. They argued that the acts of formulating and absorbing the content of communication are privately costly, and the successful communication depends on the eorts of both sender and receiver together. Furthermore, they suggested that communication 4 eorts are strategic complements; that is, one side will try harder if the other side also tries harder. We expand Dewatripont and Tirole (2005)'s framework by incorporating the competition between rms. Thus, the communication in our model is characterized not only by strategic complementarity between the consumers' eort and the rms' aggregate eort, but also by strategic substitutability between each rm's individual eorts. Our model explores several interesting tradeos between these two key strategic eects in communication, and its implications for secrecy within an innovative rm. Second, a number of papers examine the impact of consumers' costs of learning and deliberation. Shugan (1980) is among the earliest to highlight the importance of incorporating consumers' cost of thinking, and several subsequent papers explore its implications for a rm's strategy (Guo and Zhang 2012, Kuksov and Villas-Boas 2010, Villas-Boas 2009, Wathieu and Bertini 2007). Wathieu and Bertini (2007) explores the rm's pricing strategy to spur deeper thinking among consumers about the personal relevance of product benets; others (Guo and Zhang 2012, Kukosv and VillasBoas 2010, Villas-Boas 2009) explore the rm's optimal product line decisions when consumers need to incur costly deliberation eorts to evaluate the product. We also explore the implications of consumers' costly eorts for deliberation to evaluate a new product, but our focus is on the consumers' essential role in marketing communication. Third, the current work also relates to the literature on a rm's strategies of managing business secrets and information sharing. between patenting and secrecy. One stream of research in this area focuses on a rm's choice Patents protect but publicize the rm's proprietary knowledge through the patent process thus enabling it to exploit its private information (secrets) while reducing asymmetry between the rm and its competitor. Competitors can imitate and create dierentiated products. Thus, rms may sometimes forgo patenting and keep secrets internally. Several papers have examined when to disclose secrets for patent protection and when to retain trade secrets internally (Kultti et. al. 2007, Denicolo and Franzoni 2004, Horstman et. al. 1985, and Anton and Yao 2004). Another stream of research in this area deals with the information sharing decision in the context of R&D whether or not a rm discloses its interim R&D results to the public. If R&D contests are winner-take-all, rms disclose pessimistic or no information to discourage a rival's investment (Hendricks and Kovenock 1989 and Gill 2008). If the appropriability of an innovation is weak, the free-riding incentive arises and rms disclose positive information about their interim R&D results to further encourage a rival's R&D investment (De Fraja 1993 and Jansen 2010). While the appropriability of an innovation is exogenously given in these papers, the appropriability in ours is endogenously determined by the degree of information disclosure; moreover, this endogenous appropriability aects the rival's incentive to invest in communication eorts in equilibrium. Fourth, broadly speaking, our research deals with a rm's strategies around cooperation and competition with competitors, an important issue of coopetition (Brandenburger and Nalebu 1996). 5 A large body of literature examines various forms of coopetition such as strategic alliances among competing rms (Amaldoss et al. 2000, Bucklin and Sengupta 1993, Luo et al. 2007, Harbison and Pekar 1998), 13 collaboration with a rival rm through licensing (Inkpen 1996, Steensma 1996), and impacts of these actions on innovation (Bonaccorsi and Lipparine 1994, Hamel et al. 1989, Nieto and Santamaria 2007, Tsai 2009). Our paper contributes to this literature by providing one new micro-foundation for coopetition based on the rm's communication motives. Farrell and Gallini (1988) and Shepard (1987) are the two most closely related works in this area. These suggest that inviting competitors might increase the total market demand because competition can serve as a credible commitment to lower price (Farrell and Gallini 1988) or higher quality (Shepard 1987), both of which guarantee a higher ex post consumer surplus. Our paper captures a similar insight, but also provides a micro model of how this increased consumer surplus leads to greater market demand based on the communication mechanism. Moreover, our micro model of communication captures not only complementarity between rms and consumers (Farrell and Gallini 1986, and Shepard 1988), but also substitutability between rms. Finally, the current work is related to a large body of marketing literature on a rm's preannounement strategy. The common premise of literature in this area is that the rm always wants to deter the entry of competitors and preannouncement is used to achieve this end through communication with competitors (Bayus et al. 2001, Haan 2003, and Ofek and Turut 2013) or consumers (Farrell and Saloner 1986, Garlach 2004, and Choi et. al. 2005). Our paper primarily diers from these in that we provide another strategic motive of preannouncement to invite the competitor to 14 enhance the potential market demand through jointly communicating with consumers. 3 Model Set-up The market consists of two rms, rm 1 and 2, and a continuum of consumers with mass of 1 is an innovator who discovers a radical innovation and rm 2 1. Firm is a follower. Once rm 1 discovers a new idea, it chooses a level of secrecy by deciding the amount of information to publicly release about its novel product idea. disclose, and thereby, variable, 13 d ∈ [0, 1], 1−d where We denote d as the amount of information that rm 1 chooses to 15 The degree of disclosure is a continuous represents the level of secrecy. d=0 means no disclosure (i.e., complete secrecy) and d=1 means full Harbison and Pekar (1998) nd that more than 50% of strategic alliances are typically formed among competing rms within the same industry. 14 In our model, the market demand is endogenously determined by the communication between rms and con- sumers. There are several papers that also study the issue of endogenous market demand (in particular, market expansion by the supply side eorts); Agarwal and Bayus (2002) nd empirical evidence that the entry of rms in the early stage of the industry can increase consumer awareness and learning, and thus expand the potential market. Shen and Xiao (2014) nd that market demand can increase endogenously with the number of rms by facilitating consumer learning in fast food market in China. Similarly, Shen (2014) emphasizes the role of rms' collective advertising on generating the demand for the new product category. 15 We use secrecy and disclosure interchangeably throughout the paper. 6 Stage 2: communication subgame Stage 3: product market competition The innovator, the follower (if 1), and consumers choose communication efforts: (p1 ,p2 ) and compete in Stage 1: information disclosure subgame The innovator discovers a new idea, and decides the degree of disclosure d [0, 1] The follower decides whether or not to enter the new product market {0, 1} time Firms choose their prices (e1 ,e2 , ec ) Product Launch the product market. Consumers make a purchase decision Figure 1: Sequence of the game disclosure (i.e., no secrecy). Then, as long as d > 0, the follower makes a decision about whether or not to enter the market by following the new idea and developing a similar product, If the follower decides not to enter (χ follower decides to enter (χ = 1), = 0), χ = {0, 1}.16 the eventual product market will be a monopoly. If the the market becomes a duopoly. Prior to competition in the product market, consumers and rms communicate with one another about the new product idea. We model this marketing communication process as two-sided costly eorts, a process that involves both rms' and consumers' eorts to transmit and assimilate the novel product concept (we will discuss the communication mechanism in greater detail later). The communication's success endogenously generates consumers' need recognition and thereby market demand for a novel product. and the follower (if χ = 1) competition whereas if Finally, once the product is launched in the market, the innovator oer dierentiated products at prices χ = 0, {p1 , p2 }, and engage in Bertrand rm 1 monopolizes the market and oer its product at p1 . The entire game involves several distinctive decisions for each rm and consumers at dierent stages as we can see in Figure 1. At stage 1, the innovator discovers a new idea and decides the amount of information to disclose, d ∈ [0, 1]. Then, the follower makes a decision whether to enter the market after observing the innovator's disclosure decision. At stage 2, rms and consumers decide their optimal levels of communication eorts to transfer and assimilate the idea. Finally, at stage 3, rms compete with each other in the product market and decide on prices while consumers make a purchase decision. It is important to note that these decisions are interlinked. For example, when the innovator decides the secrecy in stage 1, it fully takes into account the eects of secrecy (1) on the follower's decision regarding whether to enter the market (at stage 1), (2) on the equilibrium outcomes of the communication game between rms and consumers (communication subgame in stage 2), and (3) on the equilibrium outcomes of the pricing game in the product market played by the rms (product market subgame in stage 3). Similarly, the communication eorts by rms and consumers endogenously determine the potential market demand, which clearly aects the equilibrium payos 16 Here, we make a simplifying assumption that the competitor can immediately understand the value of the new innovation, and therefore, can always make a similar product once a little piece of the innovation is shared (d 7 > 0). for the rms in the product market at the stage 3. Hence, when the rms choose their optimal eort levels for communication, they fully internalize the future payos from the product market, in which they compete in pricing. Furthermore, these considerations aect the follower's decision regarding whether to enter the market at stage 1. Thus, we use the Subgame perfect Nash equilibrium as our solution concept. We now discuss each of these decisions in detail. Information disclosure Managing the secrecy of the innovative idea has strategic implications for the innovator's competitive advantage. The more innovation the innovator keeps secret (or equivalently, the less the innovator discloses), the more the technological leadership it can possess, and thus the innovator can have greater competitive advantage over the competitor when the product idea is fully developed and launched in the product market. We model the decision of the innovator's information disclosure as a continuous variable, d ∈ [0, 1].17 An innovator can disclose a piece of proprietary information to its competitor through licensing contracts which can directly aect the relative competitive advantage of the innovator (for example, Tesla and semiconductor companies). Here, we impose a truth-telling assumption such that revealed information is truthful. In this licensing case, the amount of innovation disclosed (no innovation disclosure as as d = 1). d=0 d can be interpreted as and full innovation disclosure Alternatively, an innovator can release information about its upcoming product well 18 By making preannouncement, in advance of actual market availability through preannoucement. rms can deliver information on a product while it is still being developed. In this preannouncement case, d can be interpreted as the length of time prior to actual launch of the product or the actual maturity of an innovative idea upon market announcement; for example, keeping the innovation completely secret and announcing the product on the same time as the product release (d = 0) or disclosing its premature idea so early that the follower can fully catch up with the innovator on the time when the actual product is launched (d = 1). We capture the inuence of information disclosure on the innovator's competitive advantage through a cost function. 19 We assume that the innovator can retain its cost advantage stemming from its technical breakthrough if the rm keeps it secret. For example, when Procter & Gamble rst introduced disposable diapers in 1969, the company used a synthetic ber technology that 17 We assume that there is a xed cost of associated with the information disclosure this cost is a tie-breaker for the innovator; when it is indierent between disclosing information and no disclosure, it chooses not to disclose because of this small xed costs. 18 The credibility of the announcement is an important issue, and preannouncement can be a pure cheap talk (Bayus et al. 2001, Choi et al. 2005, and Ofek and Turut 2013). However, this cheap-talk analysis is beyond the scope of this paper, and we treat the preannouncement as truthful information sharing. By doing so, we can focus on the eects of information disclosure on market competition, and analyze the strategic motives for a rm to convey its private information on a new innovation in order to change other parties' behavior in a way that is benecial to the rm. 19 Alternatively, one can model the competitive advantage through demand side advantage (consumers may have higher willingness to pay for the innovator's product, and the sharing of innovation reduces this advantage). We also explored this specication, but the qualitative results remain the same. 8 helped them to create the diapers at a cheaper, more protable price over competition (Morrison et al. 2000). We can capture the extent of competitive advantage through secrecy; we x the innovator's marginal production cost as is a decreasing function in and m2 (d = 0) = m > 0. m1 = 0, and the follower's marginal production cost d, m2 (d) = m · (1 − d) Thus, when d = 1, without loss of generality. Hence, m2 (d = 1) = 0, the technical innovation is shared with the competitor perfectly, and the innovator has no relative cost advantage (m1 competitive advantage is maximized when m2 (d) = m2 (d = 1) = 0) while the d = 0 (m2 (d = 0) = m̄ > 0 = m1 ). Communication technology We consider a communication technology where both the rms and consumers simultaneously exert elaboration and learning eorts to transfer and assimilate the idea (Dewatripont and Tirole 2005). 20 The probability that the idea is properly communicated to and accepted by consumers is , σ(ef , ec ) = ekf · e1−k c where ef ∈ [0, 1] is the aggregate eort of the rms to transmit the innovative idea and persuade consumers to accept it, and message. Moreover, ec ∈ [0, 1] is consumer's eorts to pay attention, deliberate and assess this k ∈ [0, 1] captures the relative importance of two side eorts in communication. In a monopoly situation (χ (χ (1) = 1), ef = e1 + e2 = 0), the total eort of the rms is ef = e1 ; in a duopoly situation 21 . When radical new product categories such as HDTV and recordable DVD format are rst introduced in the market, the realization of the market demand is uncertain and, prior to launch, rms need to expend eorts to stimulate greater demand by showing advertisements that mainly promote the benets and advantages of these new product concepts without touting brand-specic features (Bass et al. 2005). Such advertisements are particularly common in the introduction of new product categories: when satellite radio was rst introduced, both Sirius and XM allocated signicant portions of their advertising budgets for generic advertising to inform and educate consumers about the product's uses and benets to enhance product acceptance (Beardi 2001). can think of these advertising activities as a rm's communication eorts of learning and deliberation to evaluate these new product idea as ec , ef , 22 One and consumers' costs which is time consuming and leads to depletion of cognitive resources (Shugan 1980, Guo and Zhang 2012). Thus, communication eorts involve private costs C(e) for the rms and consumers. We assume these costs are increasing, 20 This is a generalized version of Dewatripont and Tirole (2005), and their model can be considered as a special k = 12 . 21 To guarantee the probability σ ≤ 1, we assume v ≤ 1. The assumption is only for expositional purpose. We will v see later that the results rely on the relative ratio of vertical dierentiation to horizontal dierentiation (i.e., t ) not case where both parties' eorts are equally important: on a specic value of 22 v. XM's ads will be about continuing to 'grow the whole category pie,' rather than competing with Sirius (Boston and Halliday 2003). 9 convex such that C(e) = e2 2. There are several important properties in this communication technology that we employ. First, σ(ef , ec ) = 0 ef = 0 when or ec = 0 . This captures the key characteristic that communication requires two-sided eorts, and the communication can never succeed without both sides exerting eort. Second, this communication technology assumes complementarity between the eorts of consumers and the aggregate eort of the rms: σf c = ∂ 2 σ(ef ,ec ) ∂ef ∂ec ≥ 0. That is, each side is willing to exert more eort if the other side also exerts more eorts, and the return from expending eort increases when the other party explains better or listens better (Dewatripont and Tirole 2005, p. 1224). 23 Furthermore, in the duopoly case, we assume that both rms are symmetric in terms of their eects on the eectiveness of communication; that is, σ2 24 . σ1 = ∂σ(e1 +e2 ,ec ) ∂e1 = ∂σ(e1 +e2 ,ec ) ∂e2 Thus, the eorts between each rm and consumers are strategic complements. = Finally, another key characteristic of our communication technology is that the eorts of the two rms are strategic substitutes: σ12 = ∂ 2 σ (ef ,ec ) ∂e1 ∂e2 ≤ 0. Because communication involves private costs, rms have incentives to reduce their eorts and free ride on the other side's communication eorts. Hence, the communication stage can be characterized by the strategic complementarity between the consumers' eort and the rms' aggregate eort, and the strategic substitutability between each rm's individual eorts, which are the crux of the current paper's premise. Once the idea is successfully communicated (with probability σ ), consumers can understand the potential benets of the new product idea. If the idea fails to be communicated (with probability 1 − σ ), consumers cannot be aware of the potential benets for this new product, and they may think the new innovative idea (such as Google Glass) is only for geeks and not for them. Thus, they will not even consider purchasing the new product. Consumers consider purchasing the product only if the idea is successfully communicated with probability σ. Those who become educated about the radical innovation are the potential buyers when the product becomes available in the market. Here, the role of marketing communication is to generate the consumers' need recognition and product acceptance. Thus, marketing communication eorts endogenously creates and expands the total demand for the new product; the total number of potential buyers is σ T = σ(ef , ec ). Competition in product market The product market competition is modeled as a traditional Hoteling model. The innovator and the follower are located at the two extremes of a Hoteling line, in prices by charging 23 0 and 1, p1 , p2 , respectively when the market is a duopoly. Note that this strategic complementarity arises because σ respectively. They compete If the market is a monopoly, is endogenous and strategic choices of both rms and consumers. On the other hand, as Dewatripont and Tirole (2005) explained, if σ is xed and exogeneously given, one side can expend less eort as the other side has expended more eort. 24 The rms may have asymmetric inuences in persuading consumers. We can capture the asymmetry by setting the total rm-side eort as eF = βe1 + e2 . The parameter β aects the exact equilibrium eort levels, but the underlying mechanism that drives the equilibrium outcomes does not change due to the additive form of the specication. Hence, our main results do not change qualitatively. 10 only the innovator chooses the monopoly price p1 . When communication between rms and consumers succeeds (with probability become a potential buyer. Potential buyers therefore receives a base utility if they purchase a product. Besides the base utility v, v σ ), consumers from consumption consumers receive an idiosyncratic match once the idea is developed into a product. Consumers' preferences (zj ) are uniformly distributed along the Hoteling line, zj ∼ U [0, 1]. Their utility is uj = v − t · zj − pi , where i = 1, 2, and t is the consumer's travel (mismatch) cost from the ideal point in Hoteling line. After observing their preferences zj and the price(s), potential buyers make their purchase decisions and the rms receive their payos. And we assume that t is small enough (t < v 3 ) that in equilibrium, all potential buyers purchase from one of two rms in duopoly case. 4 Analysis The game consists of three subgames: innovation disclosure, communication, and product market competition. We use the Subgame Perfect Nash Equilibrium as our solution concept. We begin our analysis using backward induction to solve the game and all the proofs are presented in the Appendix. 4.1 Stage 3: Product market competition We rst solve the nal stage of the game of product market competition. We denote rm 1's disclosure level as d and the rms' aggregate communication eorts and consumers' eorts as {ef , ec }. These will be endogenously determined in equilibrium, but for now we take them as given. There are two dierent cases we need to consider depending on whether the follower, rm 2, decides to enter the market or not (which again will be endogenously determined in equilibrium). Duopoly (χ = 1) As we can see later, there always exists for rm 1 a disclosure level 2 chooses to follow rm a xed d ≥ 1's idea (χ = d∗ and communication eorts ef = e1 + e2 buyers are uniformly distributed along the Hoteling line 1 and utility or rm 2. Consumer j u2j = v − t(1 − zj ) − p2 such that for all and ec , rm obtains utility the total number of consumers σ T = σ(ef , ec ). zj ∼ U [0, 1], u1j = v − tzj − p1 if purchasing from rm 2, We impose a simplifying assumption of tie-breaker such that when Those potential and purchase a product either if purchasing from rm 1 where the consumer's travel cost t captures the extent of product dierentiation between two products. Consumer 25 d ≥ d∗ 1), and thus the market is a duopoly at Stage 3.25 Given who are convinced about the need for the new product is xed as from rm d∗ d = d∗ , j purchases from rm 2 chooses to enter the market even though it makes exactly zero prot in the product market. This is purely for expositional easiness and it does not aect the results. 11 rm 1 rm 2's 1 2 − if 1 2 u1j ≥ u2j ⇒ zj ≤ demand p1 −p2 and 2t p1 −p2 T 1 − p1 −p2 and 2t . Thus, rm 1's demand is D1 (p1 , p2 ) = σ 2 2t −p2 T denes the total category demand while σ T 12 + p12t . Here, σ − D2 (p1 , p2 ) = p1 −p2 1 dene 2 + 2t two rms compete on prices (p1 , p2 ) the selective demand for each rm within the category. that maximize the retail their own prots 1 T pD = arg maxp1 R1 (p1 ; pD 2 ) = σ (p1 − m1 )( 2 − 1 1 T pD = arg maxp2 R2 (p2 ; pD 1 ) = σ (p2 − m2 )( 2 + 2 1's where rm marginal cost decreasing function of m1 = 0 and rm 2's 2's R1 , R2 : p1 −pD 2 2t ) D p1 −p2 2t ) (2) m2 = m · (1 − d), which is a d. Then, we have the equilibrium duopoly prices the rm marginal cost The m 2m D pD 1 = t + (1 − d) 3 , p2 = t + (1 − d) 3 . Because marginal production cost should be low enough to enable it to make positive prot in the product market pD 2 ≥ m2 , we obtain that d ≥ d∗ = 1 − 3t 26 m. Also, the equilibrium duopoly retail prots are R2D = where π1D = (3t+(1−d)m)2 18t , π2D = (3t+(1−d)m)2 18t (3t−(1−d)m)2 T σ 18t R1D = σ T (3t−(1−d)m)2 18t = σ T · π1D , (3) = σ T · π2D , are average prot that rm 1 and 2 make in the duopoly product market per customer, respectively. It is important to know that this average prot πi is independent of the total market size, and only captures the marginal benet to the rm from the increase in the total category demand σT . This will play an important role in the subsequent analysis. Therefore, as long as rm 1 discloses sucient information (d ≥ d∗ = 1 − 3t m ), rm 2 makes non-negative prot by entering the market. Also, note that rm 1's prot decreases as it discloses more information (i.e., retail market if rm 1 d increases) whereas rm 2's prot increases in becomes the monopolist (i.e., d< d. Next, we analyze the d∗ ). Monopoly (χ = 0) As long as rm 1 keeps a sucient degree of secrecy (d by entering the market. Therefore, rm 2 < d∗ ), rm 2 cannot make a positive prot chooses not to work on a similar idea (χ = 0), and rm 1 becomes the monopolist in the product market at stage 3. Similar to the duopoly case, potential buyers make purchase decisions once they observe the price and their preferences Consumer j 's utility is v − tzj − p1 if they decides to buy. 26 Consumer j zj ∼ U [0, 1]. purchases the product ∗ 3t We assume that m > 3t for the non-emptiness of d = 1 − m . Also, v > 3t ensures that even the marginal ∗ 1 1 m·(1−d) consumer (zi = 2 + 2t ) who is indierent between purchasing from rm 1 and rm 2, receives a positive 3 ∗ 1 1 m·(1−d) utility in equilibrium: u = v − t 2 + 2t − t − (1 − d) m > 0. 3 3 12 v − tzj − p1 ≥ 0 ⇒ zj ≤ 1 D1 (v, p1 ) = σ T · max v−p , 1 . Under t if the utility M equilibrium price is p1 = v − t, v−p1 t . Thus, the market demand for rm 1's product is the market coverage condition in duopoly (v and the market demand is D1 = σ T .27 Firm 1's > 3t), the monopoly retail prot is R1M = σ T · (v − t) = σ T · π1M π1M = (v − t) where (4) is the average prot that rm 1 makes in the monopoly product market per customer. 4.2 Stage 2: Communication game The market size σ T = σ(ef , ec ) is the outcome of a two-sided marketing communication, a process in which rms and consumers both exert costly eort. There are three players involved in marketing communication (rm 1 and 2, and consumers), and they are all strategic and forward looking. For a given d of rm 1's choice in the rst stage, each player decides on their own communication eorts anticipating the equilibrium product market outcomes at stage 3. Firm communication eorts e1 , e2 , and consumers also decide on their eorts 1 and rm ec . 2 decide on the Since consumers have not observed the idiosyncratic preferences (zj ) yet, they form expectation on the consumption utility taking into account the equilibrium prices oered by both rms in the product market competition at the stage 3: ũM Eu = ũ = ũD = = ´ ´ z max{v − tz − pM 1 , 0}dz - Monopoly case D D z max{v − tz − p1 , v − t(1 − z) − p2 }dz (5) - Duopoly case When we compare the expected utility of consumers between the monopoly case and duopoly case, it is immediately clear that the competition of duopoly provides a higher expected consumer utility. Thus, competition can serve as a credible commitment to guarantee a higher consumer surplus. Lemma 1. The consumer's expected utility from purchasing the product is higher under duopoly than monopoly market: ũD > ũM . Strategic complementarity and substitutability When d < d∗ , the follower (rm 2) chooses to not follow the innovator's idea (χ = 0) and the innovator (rm 1) engages in marketing communication by itself. The single-rm communication subgame simply displays a strategic complementarity between a rm and consumers. However, v−p1 27 T The optimal price from FOC is p1 = arg maxp1 σ · p1 · = v2 . However, even the consumer at zi = 1 nds t v the positive utility under this price: u = v − t − 2 > 0 because v > 3t. Hence, the equilibrium price is determined by T u(zi = 1) = v − t − p1 = 0⇒ pM 1 = v − t, and the market demand is D1 = σ . 13 when d ≥ d∗ , both rms engage in collective marketing communication, and each rm has an incentive to free ride on the other's costly eorts. Hence, the communication also displays a strategic substitutability between the two rms, which complicates the analysis. Let us start from the case of monopoly market (χ marketing communication by itself. Therefore, rm cation eorts e1 , ec 1 = 0) when d < d∗ . The innovator engages in and consumers choose the optimal communi- that maximize their total expected payos: M ek1 · e1−k π1 − c M k 1−k e1 · ec ũ − EΠ1 = EU = e21 2, e2c 2. (6) Here, the single-rm communication simply displays a strategic complementarity between a rm's and consumers' eorts: ∂ 2 EΠ1 ∂e1 ∂ec −k M = k (1 − k) ek−1 1 ec π1 ≥ 0, and ∂ 2 EU ∂e1 ∂ec −k M ≥ 0. = k (1 − k) ek−1 1 ec ũ Due to this strategic complementarity eect, increasing eort from one side leads to higher response from the other side. Thus, the equilibrium eorts under monopoly are determined by the following best response functions Both equilibrium eorts eM 1 = eM c = kπ1M e1−k c 1 2−k , 1 (1 − k) ũM ek1 1+k , (7) M eM 1 (ec ) and ec (e1 ) are increasing in the other side's eort ec and e1 , and its M M own expected average payos from the product market π1 and expected utility ũ , respectively. ∗ Next, we consider the case of duopoly market (χ = 1) when d ≥ d . In duopoly, both rms engage in collective marketing communication. optimal communication eorts (e1 , e2 , ec ) where i = 1, 2, and ef = e1 + e2 ekf · ec1−k πiD − = ekf · e1−k ũD − c = 0), = k (1 − and consumers choose the e2i 2, e2c 2, (8) there exist a strategic complementarity eect between consumers's eorts and rms' aggregate eorts: −k D k) ek−1 f ec ũ 2 is the rm side total eort. Same as in the monopoly market case (χ ∂ 2 EU ∂ei ∂ec rm that maximize the following payo functions: EΠi = EU 1, Thus, rm ≥ 0, for all ∂ 2 EΠi ∂ei ∂ec −k D = k (1 − k) ek−1 f ec πi ≥ 0, and i = 1, 2. In addition to strategic complementarity, the communication game also shows the strategic substitutability between each rm's individual eort: for all i = 1, 2. ∂ 2 EΠi ∂ei ∂e−i = −k (1 − k) (e1 + e2 )k−2 e1−k πiD ≤ 0, c This strategic substitutability eect between each rm's individual eort creates a free-riding problem in communication such that each rm has an incentive to lower its own eort in response to the other rm's eort. To measure this free-riding problem more directly, we rst examine the equilibrium eorts under 14 duopoly case for rm i ∈ {1, 2} and consumers, which are implicitly given by k−1 1−k D D kπiD eD e + e , c i j 1 D k k+1 = (1 − k) ũD eD i + ej eD = i eD c Similar to the monopoly case (equation 7), the optimal eort of rm side's eort eD c , and its own expected average prot πiD .28 This is the direct eect of the rival rm −1 e2−k eck−1 f 1+ −i's i (eD i ) is increasing in consumer However, dierent from the monopoly 0 case, the rm i s eort is now aected by the other rival rm ∂ei = ∂e−i (9) −i's eort: ≤ 0. (10) (1−k)kπiD eort on its own eort arising from strategic substi- tutability. The success of communication benets both rms, but eorts are costly. Therefore, each individual rm has an incentive to free ride on the other rm's costly eort and lower its own eort in response to increase in the other rm's eort. Because of the countervailing eects of strategic complementarity and strategic substitutability, the total eect of an increase in the rival rm's eort is ambiguous. More precisely, there are two (direct and indirect) eects of the rival rm's eort on the focal rm's own eorts. Firm i's best response to the increase of the other rm's eort is to decrease its own because of its incentive to free ride on the other rm's costly eort (equation 10). complementarity eect between ∂ec ( ∂e−i ≥ 0). ∂e eorts ( i ∂ec ec and ei , consumers' eorts Nevertheless, due to the strategic ec increases with rm −i's eorts More importantly, this increased eort in consumers (ec ) in turn increases rm ≥ 0). This is the indirect eect of rm may nd it protable to raise the eort with rm −i's −i's eort on the rm i's i's eort. Hence, rm i eort through this indirect eect that arises from complementarity through consumer eort. In other words, complementarity may reduce the rms' free-riding incentives, which may result in higher total eorts. We explore this interaction between these countervailing eects next. Communication incentives and optimal eorts We rst note that the incentives for all players (rms and consumers) to exert eort increases in the expected payos that they can receive from the product market at stage 3 in both monopoly and duopoly cases. Also, because of strategic substitutability, one rm has incentives to free ride o the other rm's eorts in a duopoly. Such a case, we can see that the ratio of eorts two rival rms is equal to the ratio of their expected average prots 28 π1D π2D e1 e2 between . D Also, the optimal level of eort for consumers ec is again increasing in the other side's eorts (the rm side's D eD ) and its own expected utility in the product market ũ . f total eort 15 Proposition 1. Equilibrium communication eorts can be characterized as follows: 1. Each player's equilibrium eort in communication increases in its own expected surplus from ∂eM the product market: ∂π1 1 ≥ 0, 2. Moreover, in duopoly case (χ ∂eD i ∂πiD = 1), ≥0 (for i = 1, 2), ∂e and ∂ ũc ≥ 0. the ratio of eorts between two rival rms in duopoly ( is equal to the ratio of their expected average prots from the product market: eD 1 eD 2 = π1D . π2D eD 1 ) eD 2 In a duopoly case, the relative eorts between the two rms is only determined by the split of the total product market prots regardless of levels of consumers eorts. Hence, the innovator may nd it optimal to sacrice market prot by sharing its innovation with competitors. Increasing the competitor's average prot can induce the competitor to shoulder more communication costs and expand the total market size through cooperation in this stage. D disclosure), the expected average prots are identical (π1 D levels of eorts are identical (e1 = In particular, when = π2D ), d = 1 (full and therefore, the equilibrium eD 2 ). However, the exact level of rms' eorts is inuenced by consumer eorts for communication, which are aected by consumers' expected payos from the product market. From Lemma 1, we already know that the consumer's expected utility is higher under a duopoly D than under a monopoly market (ũ > ũM ). This proposition implies that consumers always have more incentives to incur costly learning eorts under duopoly than under monopoly (since ∂ec ∂ ũ ≥ 0). This is summarized in the following corollary. Corollary 1. eD c > Consumers exert more eorts under a duopoly than a monopoly market for all k < 1: eM c . This result suggests another important incentive for the company to share its innovation with a competitor. The presence of a competitor serves as a commitment mechanism to assure consumers that they will receive higher utility in the product market, which increases the incentives for consumers to expend more costly eort in deliberating about the new innovation. More importantly, this increased consumer eort further encourages rms to put more eorts in the communication stage through complementarity between rms and consumers (equation 9). Sharing the innovation is a way to invite the competitor to the market, which triggers higher consumer eorts and ensuing rms' eorts all together. Thus, an innovator may benet from attracting a competitor. Next, we compare the equilibrium market size. Under both monopoly and duopoly cases, the total market sizes are given by σ T = (1 − k)1−k k k (ũ)1−k (πf )k , where πf πfM = π1M ; denotes the rm side aggregate average retail prots. if the market is a duopoly, πfD = π1D + π2D . 16 (11) If the market is a monopoly, The direct comparison of the total market size σT under duopoly and monopoly (equation 11 above) allows us to identify the exact condition under which the market expands under duopoly. Proposition 2. For any given such that for all k ≤ k (d), d ∈ [0, 1], there always exists a threshold 1 k̄(d) ≡ 1+ln M π1 D +π D π1 2 / ln ũD ũM the total market size is greater under duopoly than under monopoly: σ T D (d) ≥ σ T M . This result nds that whether or not the market expands under duopoly simply depends on the consumers' expected utility ũ and the rms' aggregate average retail prots πf . More importantly, as consumers play an even more important role or the complementarity eect of consumers becomes larger (k ≤ k̄ ), the market tends to expand under duopoly, and thus, the innovator is more likely to disclose its innovation to invite competitor in the market. When the competitor's communication eort increases (which can be induced by sharing more information and thus guaranteeing a sucient amount of prot in the product market), the innovator has incentives to lower its eorts because of substitutability or free-riding eect (equation 10). At the same time inviting the competitor allows the innovator to commit to provide greater surplus to consumers, which increases the incentives for consumers to expend more costly eort in deliberating about the new innovation. Moreover, as the complementarity eect of consumers becomes larger (k ∂ei ≥ 0). ≤ k̄ ), this increased eort in consumers (ec ) in turn increases rm's eorts ( ∂e c This complementarity in communication between rms and consumers through consumers' strategic decision is the key to mitigating the potential free-riding incentives of rms. The next subsection highlights this insight by investigating a benchmark case where consumers do not play a role in communication (i.e., k = 1). 4.2.1 One-sided Communication In order to highlight the importance of the role of consumers, we study a benchmark where marketing communication is purely one-sided; that is, only rms' eorts matter. This is a situation where consumers can passively learn about the potential benet of the product through rms' eorts (such as advertising). We study this situation by looking at the extreme case of k = 1. In communication, only rms eorts aect the success of communication and the size of the potential market. Consumer eort ec has no eect on the outcome of communication. First, when own. Firm 1 d < d∗ , rm 1 is the monopolist and engages in marketing communication on its chooses an eort level that maximizes EΠ1 = (e1 ) π1M − e21 2 , which is M eM 1 = π1 = v − t. Then, rm 1's expected payo as a monopolist is EΠM 1 = 17 (12) 1 2 · π1M 2 = 1 2 · (v − t)2 . When d ≥ d∗ , rm 2 follows the idea and the market becomes duopoly. Both rms decide on the optimal communication eorts. Since consumers do not play a strategic role in the marketing communication, there only exists the free-riding eect between the two rms. Firm D e1 and e2 maximize EΠD 1 = (e1 + e2 ) π1 D D optimal eorts are ei = πi , i = 1, 2. − e21 2, EΠD 2 e2 ) π2D = (e1 + − 1 and 2's eorts e22 2 , respectively. Then, their And the total rm-side eort is D D eD f = π1 + π2 = ((1 − d)m)2 t+ 9t ! . (13) 2 EΠD = 1 2 Then, their expected payos under duopoly are where π1D = (3t+(1−d)m)2 18t , π2D = (3t−(1−d)m) 18t (π1D ) 2 + π1D · π2D , EΠD 2 = (π2D ) 2 2 + π1D · π2D , . Comparing the equations (12) and (13), we nd that whether the market can expand under duopoly is determined by the two rms' total retail prots. Proposition 3. When marketing communication is one-sided (i.e., k = 1), M eort is always greater under monopoly and so is the total market size: ef the rm side aggregate > eD f and σT M > σT D . When consumers do not play a strategic role in marketing communication, the market never expands in duopoly, and a duopoly market always leads to a smaller market size (σ TM ≤ σ T D ). This is a stark contrast to the case of two-sided costly communication case, where the aggregate rm-side eort as well as the total market size can be greater under duopoly. Moreover, we can show that when the communication is only one-sided such that the market does not expand under duopoly, the innovator has no incentive to disclose innovation and invites competition. Proposition 4. When marketing communication is one-sided, the innovator never shares the in- novation and prefers to become the monopolist in the product market. Without a complementarity eect between consumers and rms, the market never expands under duopoly compared to the monopoly market case. Also, without the market expansion eect, the communication sharing eect itself does not compensate for the loss in prot from the retail market. Hence, the innovator prefers to become the monopolist in the product market and it is never protable for an innovating rm to invite competition. This suggests that sharing communication costs is not a key driver for the innovator's information disclosure decision in stage 1. 4.3 Stage 1: Innovation Disclosure In the rst stage, the innovator (rm 1) decides on the degree of innovation disclosure, taking into full consideration the eects of disclosure on (1) the follower's entry decision (χ 18 d ∈ [0, 1], ∈ {1, 0}), (2) equilibrium outcomes of the communication game between rms and consumers (e1 , e2 , ec ), and (3) the equilibrium prot from the product competition (π1 (d), π2 (d)). Upon observing d, rm 2 decides to follow the idea and enter the market (χ and does not enter the market (χ = 0) if d < d∗ . = 1) if d ≥ d∗ , They both correctly anticipate the equilibrium outcomes in the proceeding communication and product market competition stages given the actions (d, χ) they play. First, we analyze rm cation mode, rm 1 1's optimal disclosure level when prefers a certain level of disclosure d EΠ1 (d) = σ T D (d)π1D (d) − Hence, rm 1's preferred ∂EΠ1 = ∂d d ∂EΠ1 ∂σ | d ≥ d∗ . that maximizes its expected payo: 1 D 2 e (d) 2 1 solves the following optimality condition: ∂σ T D ∂eD ∂σ T D ∂eD c (d) 2 (d) + ∂ec ∂d ∂e2 ∂d {z } increasing eorts from consumers and rm To understand the underlying forces that aects ∂EΠ1 ∂d = π1D = = If under a collective communi- d, + ∂EΠ1 ∂π1D (d) ∂π ∂d | 1 {z } (14) retail prot loss 2 we transform the above equation as follows: ∂σ T D ∂eD ∂σ T D ∂eD ∂σ T D ∂eD ∂σ T D ∂eD ∂π D c 2 1 1 + π1D + π1D − π1D + σT D 1 ∂ec ∂d ∂e2 ∂d ∂e1 ∂d ∂e1 ∂d ∂d D T D D T D D D D T D ∂ec ∂σ ∂e2 ∂σ ∂e1 ∂e1 ∂π ∂σ + + ) − C 0 (eD + σT D 1 π1D ( 1 ) ∂ec ∂d ∂e2 ∂d ∂e1 ∂d ∂d ∂d D ∂EΠ1 ∂σ T D ∂EΠ1 ∂C(eD ∂EΠ ) ∂π 1 1 − + · · · 1 ∂π ∂d | ∂σ {z ∂d } | ∂C {z ∂d } | 1 {z } potential market expansion reducing comm. cost where the second equality follows from the rst-order condition: ∂σ T D D ∂e1 π1 (15) retail prot loss = C 0 (eD 1 ) at e1 = eD 1 . The equation (15) clearly suggests that there are three main eects of disclosure in play: (1) ∂σ T D ∂d ), (2) a cost-saving eect D ∂EΠ1 ∂C(e1 ) on communication through the sharing of communication with competitors (− ∂C · ∂d ), and D ∂EΠ1 ∂π1 (3) an eect on the retail prot ( ∂π1 · ∂d ). Clearly, as the innovator discloses more information D ∂EΠ1 ∂π1 about its innovation, its own prot decreases due to the increased competition ( ∂π1 · ∂d ≤ 0), D ∂EΠ1 ∂C(e1 ) and the cost saving from communication stage can be greater (− ≥ 0). However, as we ∂C · ∂d the eect on the market expansion through communication ( ∂EΠ1 ∂σ · have seen from the one-sided communication case, the cost saving from the communication can't fully compensate for the prot loss in the competitive product market (Proposition 4). Hence, the key for rm 1 in deciding whether to share its innovation with the competitor depends on the eect on the market expansion. Only if the market expansion can be suciently large such that it can outweigh the loss in the product market (i.e., net prot loss including the cost saving eect), then will the innovator l disclose information. 19 Proposition 5. 1. When e (Equilibrium) There exists a threshold k k > ke , ln = ln πM ũD (d∗ ) −ln D1 ∗ ũM π1 (d ) M π1 ũD (d∗ ) D (d∗ ) +ln ũM π1 such that the optimal strategy for the innovator is not to disclose any information and the market becomes a monopoly. k ≤ ke de ∈ d∗ = 1 − 2. Otherwise (i.e., de = 0, 29 ), the optimal strategy for the innovator is to disclose sucient infor- 3t mation m , 1 , such that the follower decides to enter the market (χ 3t ∗ e the market becomes duopoly (i.e., d = 1 − m ≤ d ). = 1) and Proof. See the Appendix. The market expansion eect ( become more important (i.e., k ∂EΠ1 ∂σ · ∂σ T D ∂d ) increases as consumers' roles in communication decreases). Otherwise, inviting competition does not increase the market demand due to the free-riding eect between two rival rms. Only when k is suciently low (or consumers' roles are suciently important), can the market expansion eect more than compensate for the net loss in the product market and a rm be better o inviting its competitor by sharing its innovation. By disclosing sucient information to the competitor, a rm can convince a sucient surplus of the competitor in the product market, and therefore it may benet from joint eorts to create a new category demand with its competitor. Otherwise (i.e., k ≥ k e ), the innovator will prefer to maintain its competitive advantage by keeping its innovation secret, avoiding competition, and extracting monopoly surplus in the product market. Figure 2 demonstrates the tradeos in the rm's disclosure decision under two dierent cases (k = 0.1 vs. k = 0.9). When the importance of consumers in communication is low (k = 0.9), the innovator's expected payo is greater under a monopoly than a duopoly. Thus, the rm is better o avoiding competition by keeping its innovation secret and being a monopolist. hand, when the importance of consumers is high (k = 0.1), On the other the innovator's expected payo under a duopoly can be greater than under a monopoly due to the market expansion eect. Hence, the rm can benet from inviting the competition by disclosing sucient innovation to the competitor e (d ≥ d∗ ). d∗ = 1 − 3t m is the minimum level of information disclosure which can induce the ∗ follower to enter the market. Also, we already know that at d the threshold level of k for the Note that 29 Technically, without any disclosure cost, any amount of information disclosure de ∈ [0, d∗ ) can be optimal because the overall equilibrium payos for both rms and consumers are independent of the amount of information disclosure e ∗ 3t de as long as de < d∗ = 1 − m̄ . This is so because the follower does not enter the market χ = 0 when d < d , and thus, the market is monopoly. As long the market is a monopoly, the amount of the information disclosure does not change consumers' expected utility, and thus, the optimal communication eort will be the same irrespective of de ∈ [0, d∗ ). However, this indierence result is an artifact from the model assumption of zero cost for information disclosure. As long as we allow some small costs associated with information disclosure, the innovator is no longer e indierent to the amount of information disclosure, and the optimal strategy is not to disclose any information d = 0. This no-information disclosure is uniquely optimal under cost of information disclosure. 20 E k =0.9 k = 0.9 : k = 0.1 : k =0.1 k =0.1 k =0.9 d d* Monopoly Figure 2: Firm 1's Duopoly expected payo under k = 0.1 and k = 0.9 duopoly market to be greater than that the monopoly market (from proposition 2) is 1 k (d∗ ) = 1 + ln D ∗) π1M / ln ũ ũ(d D M π1 (d∗ ) πM ln πD 1(d∗ ) 1 ⇒ ln We can further understand the threshold D k e = ∗) ln ũ ũ(d M ke ln πD 1(d∗ ) + ln 1 1 ũD (d∗ ) ũM = 1 − 1. k (d∗ ) (16) in Proposition 5 in terms of further πM − ln πD 1(d∗ ) πM ũD (d∗ ) ũM πM = D ∗) D ∗) 1 − ln πD 1(d∗ ) / ln ũ ũ(d M 1 πM 1 + ln πD 1(d∗ ) / ln ũ ũ(d M 1 k (d∗ ) as follows: 1 k(d∗ ) 1 k(d∗ ) 2− = ∗ = 2k (d ) − 1, where k e = 2k (d∗ ) − 1 ≤ k (d∗ ) This relationship (k e (17) always holds for ≤ k (d∗ )) k (d∗ ) ∈ [0, 1]. implies that larger market size under the duopoly than the monopoly is a necessary condition for information sharing. The market expansion eect from the increased role of consumers in communication (i.e., low oset the retail prot loss from sharing its innovation. k) should be much greater such that it can For example, when market size can be larger under a duopoly than under a monopoly. nds it optimal not to disclose any innovation. Only when k< k e ≤ k ≤ k (d∗ ), the However, the innovator still k e , does rm 1 nd it optimal to disclose innovation. Interestingly, the innovator sometimes nds it optimal to share its innovation more than the ∗ minimum level of information disclosure (d ) if the role of consumers becomes even greater. 21 Proposition 6. information When de > d∗ , k becomes even smaller (i.e. t> 2v−7t 3t−2v ), the innovator discloses so that the follower makes positive prot from the product market competition, and therefore exerts positive communication eort only when k ≤ k = eD 2 > 0. Moreover, the threshold k > 0 exists 2v 7 . As consumer eorts become more important for the success of marketing communication, the innovator can be better o by disclosing more information than necessary for inviting competition e (d > d∗ ). In particular, when the horizontal dierentiation becomes suciently large (t and consumers' roles in marketing communication are increasingly signicant (k < k ), > 2v 7 ), creating a market environment where consumers have sucient incentives to exert more learning eorts is crucial. As t increases, consumers have lower expected utility from consuming a product and thereby less incentives to incur upfront learning costs. In this case, rm 1 has to convince consumers to exert more upfront communication eorts by committing to even more intense competition and lower prices. Disclosing more information to the competitor can serve as a commitment mechanism for higher consumer utility in this case. 2v 7 ), even if rm e ∗ keeps the maximal secrecy d = d (since On the other hand, when horizontal dierentiation is not large enough (t 1 prefers to invite the competitor to the market, rm there does not exist k > 0). 1 ≤ In this case, rm 2 does not exert any communication eort (since d∗ is the level of information disclosure that makes rm 2 zero prot by entering the market). Given the low t, the expected utility of consumers is already suciently high such that the existence of competition itself is sucient to convince consumers to expend learning eorts in communication. The purpose of information disclosure is not to use competitors for expanding the market together; rather competition serves as a commitment to not hold up consumers in the product market. In summary, there are two key mechanisms through which a rm may benet from revealing information to its competitor in equilibrium: First, a direct eect on the competitor's entry decision and communication eorts. More information disclosure increases the follower's prot, which facilitates the competitor's entry and makes a rival engage in more communication eorts. Second, there is another indirect eect of information disclosure on consumer eorts: the existence of competition (triggered by the information disclosure) can serve as commitment mechanism for higher consumer surplus, which accelerates consumer eorts in communication. This increased consumer eort can contribute to market expansion through the complementarity of consumers and rms in communication. 5 Extension: sequential two-sided communication In our main model, we consider a case where rms and consumers simultaneously decide their communication eorts without observing the other's decisions. In our rst extension, we relax this assumption and study a realistic case where communication decisions are sequential such that 22 consumers adjust their learning eorts after observing rms' marketing eorts. We nd that the eect of complementarity is amplied in the sequential communication, which results in a higher level of equilibrium communication eorts and disclosure compared to simultaneous communication. The last stage of retail competition remains the same as the simultaneous communication case. However, at the communication stage, the sequentiality would aect the equilibrium results. Under this sequential communication case, consumers adjust their eorts ef . in reaction to the rm's choice EU = ek1 · e1−k ũ − c of eorts. Consumers maximize their expected utility, given eort ec e2c 2 , after observing a Hence, the best reply function for consumers is still the same as the simultaneous case and given by 1 k+1 . ec = (1 − k) ũef k However, the rm is now a Stackelberg leader. (18) Anticipating the consumers' best response (Equation 18), the rm solves the following maximization problem: max EΠi = σ (ef , ec ) · πiD − ei where , σ (ef , ec ) = ekf · e1−k c and ef = e1 + e2 when χ = 1, The rst order condition for the optimal eorts for rm e2i , 2 and (19) ef = e1 when χ = 0. i (i = 1 under monopoly while i ∈ {1, 2} under duopoly) is given by ∂σ ∂ec ∂σ + · ∂ei ∂ec ∂ei πiD = ei (20) Compared to a simultaneous communication case, there is an additional incentive ( 0 because of complementarity ∂ec ∂ei > 0) for rm i ∂σ ∂ec D ∂ec · ∂ei ·πi to exert an eort. Consequently, rm i > expends more eorts in a sequential communication case, which in turn leads to greater eort for consumers in a sequential communication than simultaneous case. At the last stage, rm 1 chooses the optimal disclosure level de ∈ [0, 1]. Similarly, we can nd that the amount of disclosure increases under sequential communication compared to the simultaneous communication case. Under sequential communication, both rms and consumers incur more communication eorts and thereby the market expansion eect through communication is amplied, which increases the rm 1's incentive to disclose more information. Proposition 7. The threshold ke at which rm 1 is indierent between inviting competition and becoming a monopolist does not change. Nevertheless, in the case in which rm competitor (i.e., k≤ k e ), the optimal disclosure level case than in the simultaneous communication case. 23 1 intends to invite the de is higher in the sequential communication 6 Conclusion In this research, we study the strategy for introducing revolutionary products and try to explain the rationale for dierent information disclosure strategies among innovating rms: whether rms disclose innovation to competitors or keep it secret. Our explanation is based on the persuasion motive of rms in communication and the strategic role of consumers. Specically, we model marketing communication as two-sided costly eorts and the key determinant for market demand of a novel product. Not only does a rm exert costly eort during the communication process, but consumers also have to expend eort in assimilating the idea and deliberating their needs. Hence, a key challenge for rm is how to persuade consumers to expend more communication eorts in assimilating the new idea, and clarifying their needs by examining an unproven product category. Our analysis suggests that there are interesting tradeos facing the innovating rms in choosing their level of secrecy. Disclosing innovation can increase the follower's expected prot from the product market, which encourages entry of competition and makes a rival engage in more communication eorts. Thus, the innovating rm can benet from disclosing innovation, which serves as an invitation for competitors, because the presence of the competitor can help to expand the market through cooperation in communication stage. This communication stage is characterized by strategic complementarity between consumers' eorts and the rms' aggregate eort, and strategic substitutability between each rm's individual eorts. Our analysis further reveals that without consumers playing a complementary role in marketing communication, free-riding problem arising from strategic substitutes between each individual rm's eorts causes the market size to shrink under a duopoly. Only when communication shows a strong strategic complementarity between consumers and rms, can an innovating rm benet from sharing innovation; strategic consumers alleviate the potential free-riding eects of rival rms. More precisely, the presence of competition induced by sharing the innovation, can serve as a commitment to guarantee greater surplus for consumers, which helps rms to convince consumers to expend more communication eorts. Consequently, the increased consumer eort can result in market expansion through the complementarity of consumers and rms in communication. Therefore, to induce greater consumer eorts, an innovator may benet from inviting competitors by sharing an idea. Of course, inviting competitors to jointly expand the market by sharing its innovation involves signicant costs. In particular, we nd that the relative prot of the product market determines the division of eorts between the two rms. The follower has an incentive to exert more eort only when it would get sucient prot in the product market. To incentivize the follower to expand the market, the innovator has to pay costs of giving part of market share to the follower. But the innovating rm can achieve competitive advantage and greater market share in the product market 24 by keeping the innovation secret. Even though the innovating rm should bear all the costs for communication and creating the market, it can still enjoy the monopoly situation in the product market. It is thus not obvious that it will be protable to share innovation and invite competitors into the market. Nevertheless, we nd conditions that lead a rm to reveal information to increase its protability in the product market despite the additional competition. Essentially, the issue that any innovator faces is trade-os in coopetition whether to increase market size with competitors or capture market share. In this sense, we believe our research can shed light on understanding this important issue of coopetition by providing one micro-mechanism about when to cooperate with competitors to reach a higher value creation (such as market expansion) or struggle to achieve a competitive advantage without cooperation. Finally, our results critically depend on the key features of communication: strategic complementarity between consumers' eorts and the rms' aggregate eort, and strategic substitutability between each rm's eorts. Although we believe that imposing those characteristics in marketing communication is reasonable in many situations, we would not wish to claim that marketing communication always takes on strategic complementarity between rms and consumers. In certain situations, it is possible that communication takes on strategic substitutability between rms and consumers. For example, many inbound marketing rms encourage consumers to search product information on their own instead of bearing all communication costs if this can be more eciently done by consumers (see a seminal paper by Wernerfelt 1994 for the conceptual argument for eciency 30 Nonetheless, criterion on who should bear communication costs between rm and consumers). communication between rms and consumers can be better captured through strategic complementarity in many situations like radical innovation, in which consumers are unsure of both the uses and the benets of a product and their needs. In these situations, rms' eorts cannot totally substitute for consumers' eorts, because consumers have to incur private costs in learning about the product and clarifying their needs. In this research, we recognize that the acts of formulating and absorbing the content of a communication are privately costly, and we provide a new perspective on marketing communication (as two-sided costly eorts) and its implications. 30 Also, Mayzlin and Shin (2011) formalize this perspective by considering rms' and consumers' eorts in commu- nication as substitutes. They show that inducing consumers' eorts in the communication is sometimes more ecient for rms. 25 Appendix A Proof of Lemma 1. Proof. Under monopoly, rm 1 oers its monopoly price pM 1 = v−t such that all consumers purchase ˆ the product, thus we have M ũ (v − t · z − v + t) dz = = z t 2 Under duopoly, ˆ D ũ D max v − tz − pD 1 , v − t (1 − z) − p2 dz = z ˆ pD −pD 1 − 1 2t 2 2 = ˆ v − tz − pD 1 dz + 0 1 v − t (1 − z) − pD 2 dz pD −pD 1 − 1 2t 2 2 1 1 5 ((1 − d) m) 2 − (1 − d) m + v − t 36t 2 4 p 1 ⇔ d ≤ d = 1− m 9t + 6 t (4t − v) or d ≥ d = 1 − = Hence, ũD ≥ ũM Note that the market is duopoly (χ d∗ >d because v > 3t. = 1) only when d ≥ d∗ = 1 − Hence, when the market is duopoly (i.e., d≥ 1 m 9t − 6 p t (4t − v) . 3t m . Also, it is immediate that d∗ ), ũD > ũM . Proof of Proposition 1. Proof. The rst part of the proposition can be easily checked by examining the equilibrium efk k forts. Consumers' equilibrium eort is tal rm prot, i.e., ∂ec ∂ ũ = k 1− 2 πf = π1M if monopoly or − k2 ((1 − k) ũ) (kπf ) k 2 ≥ 0. M case, rm 1's equilibrium eort is e1 1+k 2 k−1 M πf = π1D + where πf π2D if duopoly. For all Next, we check the rms' eorts. = (1 − k) ũM 1−k 2 kπ1M 1+k 2 ∂eM 1 . So ∂π1M denotes the to- k ∈ [0, 1], In the monopoly = (1 − k) ũM 1−k 2 · k ∈ [0, 1]. In the duopoly case, the equilibrium eort of rm 1−k 1−k 1+k πiD ∂eD i 2 . So = (1 − k) ũD 2 · i, i ∈ = (1 − k) ũD 2 k π1D + π2D π1D +π2D ∂πiD ! D k−1 1+k D π π j 1+k i 2 2 + k π1D + π2D k π1D + π2D ≥ 0 holds for all k ∈ [0, 1]. D D 2 2 π D +π D kπ1 2 ≥ 0 ec = ((1 − k) ũ)1− 2 (kπf ) 2 , holds for all {1, 2}, is eD i 1 π1 +π2 2 The second part of the proposition is straightforward by comparing the rst-order conditions. For rm i, i ∈ {1, 2}, its equilibrium eort eD i solves the following rst-order condition: D D σi eD = eD i + ej , ec πi i ⇒ k−1 D k eD ec1−k πiD = eD i + ej i Hence, eD 1 eD 2 = k−1 1−k D ec π1 k−1 1−k D D D e1 +e2 ec π2 D k(eD 1 +e2 ) k( ) = π1D . π2D 26 Proof of Corollary 1. k = 1, Proof. If consumers do not play a role in the communication, i.e., no eect. Hence, in the proceeding analysis, we consider the case when equilibrium eort is ec = ((1 − k) ũ) 1− k2 (kπf ) k 2 , where πf consumers' eort has k ∈ [0, 1). Consumers' denotes the total rm prot, i.e., πf = π1M πf = π1D + π2D if duopoly. So consumers exert more eort in the duopoly situation D 1− k D D k 2 2 π1 +π2 = ũũM > 1. Taking logarithm of both sides, we have the equivalent π1M D +π D D π π1M k ũD ũD ũ k k 1 2 as 1 − > 0 ⇒ ln + ln ln + ln − ln > 0. We will show M D D M M M 2 2 2 ũ ũ ũ π π +π if monopoly or when eD c eM c condition 1 1 next that the aforementioned condition always holds for all 1, ũD ln ũM > 0. Second, we nd that for all v > 3t π1D + π2D = t + So and d ∈ [d∗ , 1]. and First, by Lemma d ∈ [d∗ , 1], (1 − d)2 m2 < v − t = π1M 9t (21) πM 1 ln πD +π D > 0. 1 2 v > 3t Moreover, for all d ∈ [d∗ , 1], and ln ũD ũM because = π1M ũD (d) > ln >0 ũM π1D (d) + π2D (d) 1 ((1−d)m)2 − 21 (1−d)m+v− 54 t 36t t 2 > v−t = (1−d)2 m2 t+ 9t ln ũũM − 1 2 ũD ũM 1 2 D − πM 1 ln ũũM + ln πD +π D π1M π1D +π2D D 1 ln ũD ũM + ln > 0 . Lastly, for all 2 (22) π1M . π1D (d)+π2D (d) D ln ũũM − Hence, we know the following inequality should hold: ln 2 v > 3t 1 2 D ln ũũM = πM D ln ũM > 1 ln D 1 D ⇒ ũ D 2 π1M+π2 π1 > − k2 ln ũũM + ln πD +π D D k ∈ [0, 1), ln ũũM 1 2 1 2 > 0. Proof of Proposition 2. Proof. According to equation (11), the relative market size 1−k D ũ ũM ũD ũM k ln 1−k π1D +π2D π1M D k π1D +π2 π1M π1D +π2D π1M and and M π1 D +π D π1 2 ũD ũM and π1D + π2D (1−k)1−k kk (ũD ) (π1D +π2D )k 1−k 1−k k M (1−k) k (ũ ) (π1M )k = σ T D ≥ σ T M if and only if D 1−k D D k D π1 +π2 ũ ≥ 1 to (1 − k) ln ũũM + ũM πM are functions of We can reduce the condition 1 M π1 D +π D π1 2 belongs to d ∈ [d∗ , 1] d ∈ [d∗ , 1] / ln ũD 1−k = d. Hence, 1 k (d) 1 1+ln ≥ 1. 1+ln v > 3t v > 3t k ≥0⇔k≤ Next, we show all , where σT D σT M . ∈ (0, 1) So . / ln ũD ũM (0, 1). So ũD ln ≡ k (d). From equation (21), we know that π1M π1D +π2D ln ũM > 0. > 0. Hence, ln . 27 π1M > π1D + π2D , And Lemma 1 shows that π1M π1D +π2D ũD / ln ũM ũD > ũM , is also positive. for for all Then we know Proof of Proposition 3. Proof. The inequality (21) in the proof of Corollary 1 has shown that and d ∈ [d∗ , 1]. It follows immediately that D eM 1 > ef . M only determined by the rm-side eort. Therefore, ef π1D + π2D < π1M for all v > 3t In the benchmark case, the market size is = σ T M > σ T D = eD f . Proof of Proposition 4 . M 1 M 1's expected prot is: EΠM 1 = π1 · 2 π1 ; whereas in the duopoly 1 D D D D becomes EΠ1 = π1 · 2 π1 + π2 . The inequality (21) in the proof of Proof. In the monopoly case, rm case, its expected payo M 1 M EΠM 1 = π1 · 2 π1 > Corollary 1 implies that the following inequality should hold as well. That is, 1 2 D 2 π1D + π2 = 1 2 D 2 π1 + π1D π2D + 1 2 D 2 π1 = EΠD 1 + 1 2 D 2 π1 > EΠD 2 . Proof of Proposition 5. Proof. We rst suppose ∗ ∗ EΠD 1 (d) monotonically decreases in the range [d , 1] so that d is the optimal disclosure level in the duopoly case. With that supposition, we nd the condition on k under which D ∗ EΠM 1 > EΠ1 (d ). Then, we verify the supposition is indeed true under that condition of k . ∗ D ∗ At d , rm 1 does not leave any surplus to rm 2, i.e., π2 (d ) = 0. Firm 1's expected payo becomes: ∗ EΠD 1 (d ) = 1−k D ∗ 1+k k (1 − k)1−k k k ũD (d∗ ) π1 (d ) 1− 2 In comparison, as a monopolist, its expected payo is: EΠM 1 Firm 1 1−k M 1+k k π1 (1 − k)1−k k k ũM = 1− 2 nds a monopoly market more protable if: EΠM 1 > EΠD 1 EΠM 1 (d ) ⇔ = ∗ EΠD 1 (d ) ∗ ũM ũD (d∗ ) 1−k π1M π1D (d∗ ) 1+k >1 Take the logarithm of the both sides, we have ũM π1M + (1 + k) ln > 0 ũD (d∗ ) π1D (d∗ ) π1M ũM ũD (d∗ ) π1M ⇔ k ln D ∗ − ln D ∗ > ln − ln ũ (d ) ũM π1 (d ) π1D (d∗ ) (1 − k) ln Since the inequality (22) suggests that πM M 1 ln π1M D π1 (d∗ ) πM D ∗) ln πD 1(d∗ ) −ln ũDũ(d∗ ) = ln πD 1(d∗ ) +ln ũ ũ(d M 1 ln >0 hold, we can reduce the inequality (23 ) to the condition k> ln 28 (23) D ∗ ) > 0 and ln ũ ũ(d − M πM ũD (d∗ ) −ln D1 ∗ ũM π1 (d ) M π1 ũD (d∗ ) D (d∗ ) +ln ũM π1 ≡ ke and k e ∈ (0, 1). Therefore, under the condition EΠD 1 (d) We proceed to verify that k> k e . Firm [d∗ , 1] is indeed monotonically decreasing in the range when expected duopoly payo is: 1−k EΠD 1 The sign of 1's D ∗ k > k e , EΠM 1 > EΠ1 (d ). (d) = (1 − k) k k 1−k D k D π1D (d) k D ũ (d) π1 (d) + π2 (d) π1 1 − 2 π1D (d) + π2D (d) D ∂EΠ1 ∂d is equivalent to that of its log-transformation, which is ∂ π1D + π2D 1 ∂ ũD 1 = (1 − k) D +k D ũ | ∂d ∂d π1 + π2D | {z } {z } ∂ log EΠD 1 ∂d + (24) >0 <0 1 1 + D π1D π1 | ∂d {z } 1 − k2 πD +π D k ∂ π1D − D 2 ∂d π1 + π2D | {z } ∂π1D 1 <0 2 >0 We further reduce the above formula to a quadratic function of k. Denote that function as G (k), which is 2 G (k) = k 2 9t (m̃ − 3t)2 m̃2 − 9t2 + 2m̃ (3t − 2v) − 8 m̃2 + 9t2 m̃2 − 12m̃t + 18t(v − 2t) +k (m̃ + 3t) 2m̃5 + 15m̃4 t + 36m̃3 t(4t − 3v) − 216m̃2 t3 + 162m̃t3 (t − 6v) − 43t4 (25t − 8v) where m̃ = (1 − d) m. For all v > 3t d ∈ [d∗ , 1], EΠD 1 (d) and monotonically decreases as long as is a convex function and there exists a point, e.g., two roots k1 d ∈ [d∗ , 1], and k2 such that G (k) < 0 all we need to show is that First, when v > 27 t, k1 < 0 (0, 1) ⊆ (k1 , 1) and is so becausemin k e for all G (k) < 0. ≥ k1 when d ∈ [d∗ , 1]. always holds for such that k ∈ (k1 , k2 ). k ∈ (k e , 1) Next, when k = 1, G (k) < 0 Notice that is a subset of (k1 , 1) v > 72 t Thus, when G (k) < 0 and for all v > 3t and v > 3t and d ∈ [d∗ , 1]. d ∈ [d∗ , 1], k ∈ (k e , 1) ⊂ 7 e 2 t, we only need to verify that k ≥ [d∗ , 1]. Therefore, when v ≤ 27 t and d v ≤ d ∈ G (k) , we are able to nd k2 > 1 for all . Since k1 . This ∈ [d∗ , 1], k ∈ (k e , 1) ⊂ (k1 , 1). Proof of Proposition 6. Proof. As we have already shown in the above proof, when maxd k1 , we can nd the condition on monotonically decreases in v≤ d, k and thus, such that k > k1 , G (k) < 0. G (k) ≥ 0 maxd k1 = k1 (d∗ ) = hold for some 2v−7t 3t−2v ≡ k. k d. As long as k ≤ Notice that k1 (d) [0, 1) when exists in 7 2 t. For any given speaking, k ≤ k , we can nd a unique disclosure amount de such that G (k; de ) = 0. k = k1 (de ). e Next, we need to verify d indeed maximizes rm 29 1's Equivalently expected payo. 0 0 d < de . Since k1 (d) decreases in d, a lower d < de corresponds 0 0 0 0 to a higher such that G k1 d ; d = 0. Then G k; d > 0 when k < k1 d . 00 00 00 e Similarly, consider a higher disclosure amount d > d . That d corresponds to a lower k1 d 00 such that G k1 d , d,, equals zero. G k; d” < 0 when k > k1 d” . Therefore, G (k; d) > 0 Consider a lower disclosure amount 0 k1 d > k1 (de ) D (EΠ1 And (d) increases) when de > d∗ d ∈ [d∗ , de ); whereas G (k; d) < 0 (EΠD 1 (d) d ∈ (de , 1]. decreases) when is the optimal disclosure amount. Proof of Proposition 7. Proof. Following equation (20), rm i's optimal eort ei in the duopoly case is: 1−k −k k−1 D k k+1 k D k k+1 kef (1 − k) ũ ef + (1 − k) ef (1 − k) ũ ef The total rm-side eort ef = e1 + e2 1 k D k k+1 (1 − k) ũ ef ef (k + 1) πiD = ei is determined by adding up the rst-order conditions of the two rms: 1−k −k k+1 k+1 (1 − k) ũD ekf kek−1 + (1 − k) ekf (1 − k) ũD ekf f 1−k k+1 k (1 − k) ũD 1 k k+1 (1 − k) ũD ekf π1D + π2D ef (k + 1) ! 1−k −k2 k k(1−k) k (1 − k) +k−1 D k+1 k+ k+1 −1+ k+1 k+1 ef (1 − k) ũ ef π1D + π2D + (k + 1) 1−k k−1 k (1 − k) D k+1 k+ π1 + π2D ef k+1 (1 − k) ũD (k + 1) k+1 1−k k+1 2 2 2 2 (1 − k) ũD k π1D + π2D k+1 = ef ⇒ = ef ⇒ = ef ⇒ = ef Therefore, we have the equilibrium eorts: eD 1 + eD 2 = 2 k+1 {z | k+1 2 × k π1D + π2D | } multiplier eect in sequential comm. Firm i's equilibrium eort is simply eD i = πiD D π1 +π2D 1+k 2 (1 − k) ũD 1−k 2 {z } eqm. eort in simultaneous comm. D · eD 1 + e2 , i = 1, 2. And consumers' equilibrium eort is: eD = c = 1 D k k+1 (1 − k) ũD eD 1 + e2 k 2 2 k+1 | {z } (1 − k) ũD × | multiplier eect in sequential comm. 30 1− k2 {z k π1D + π2D k2 } eqm. eort in simultaneous comm. Then, we can compute rm 1's expected payo in the duopoly market: D 1 D 2 D D = σ eD e EΠD 1 1 + e2 , ec π1 − 2 1 k 2 k π1D 1−k k D 1−k D D k D = (1 − k) k ũ π1 + π2 π1 1 − 1+k 1 + k π1D + π2D Similarly, we will get equilibrium eorts in the monopoly case as follows: eM 1 = 2 k+1 k+1 2 and eM c 1's Firm EΠM 1 = 2 k+1 k 2 (1 − k) ũM 1−k 2 kπ1M k+1 2 (1 − k) ũM 1− k2 kπ1M k2 expected payo in the monopoly market is M eM 1 , ec =σ π1M 1 M 2 − e = 2 1 2 1+k k (1 − k) 1−k k k We follow the reasoning in the proof of Proposition 5 and 7. at which rm 1 M 1−k ũ 1+k π1M 1− ( 2 ( 1+k ) ke First, we nd that the cuto is indierent between becoming a monopolist and inviting competition remains unchanged in the sequential setting. Because the relative ratio in the sequential setting k k 1+k k 2 (1−k)1−k kk 1+k ) (1−k)1−k kk (ũD (d∗ )) 1−k 1−k ũM ( ) ( 1+k π1M ) (π1D (d∗ )+π2D (d∗ )) k D π1 1− k 1+k ( ) D (d∗ ) π1 k 1− 1+k D (d∗ )+π D (d∗ ) π1 2 = ũM ũD (d∗ ) 1−k same as that in the simultaneous setting and we will get the same cuto point π1M π1D (d∗ ) ke EΠM 1 ∗ EΠD 1 (d ) 1+k = is the by applying the same reasoning in the proof of Proposition 5. Again, we will check ∗ EΠD 1 (d)indeed monotonically decreases in [d , 1]. to a quadratic function of k. Denote that function as G̃ (k), Similarly, we reduce ∂ log EΠD 1 ∂d which is 2 G̃ (k) = k 2 9t(m̃ − 3t)2 (m̃ + 3t) m̃2 + 6m̃t − 4m̃v − 9t2 − 4 m̃2 + 9t2 m̃2 − 12m̃t + 18t(v − 2t) ! 2m̃6 − 51m̃5 t − 9m̃4 t(11t − 12v) − 108m̃3 t2 (7t − v) −k −810m̃2 t3 (t − 2v) + 243m̃t4 (13t − 4v) + 2187t6 where m̃ = (1 − d) m. For all ∗ v > 3t and d ∈ [d∗ , 1], EΠD 1 (d) monotonically decreases in [d , 1] as long as G̃ (k) < 0. G̃ (k) We have already shown that concave function and G̃ (k) = 0. subset of Observing (k2 , 1) ke > G (k) < 0 k> 2v−7t 3t−2v in the proof of Proposition 6. For all d∈ k1 < 0 for all when for all v > 3t and G̃ (k) = 0 k < k1 v > 3t or and d ∈ (d∗ , 1]. at k > k2 , d∈ k= 2v−7t 3t−2v When is a downward-sloping function and where k1 and k2 d∗ , 2v−7t 3t−2v , G̃ (k) < 0. (d∗ , 1], G̃ (k) is a are the two roots at which (d∗ , 1], then we are left to show This is so because 31 = k. At k e > k > k2 k ∈ (k e , 1) always holds. is a The fact that when k ≤ k. k2 increases in The cuto k d and the relation k > k2 also indicate that G̃ (k) ≥ 0 for some in the sequential setting remains unchanged compared to that in the simultaneous setting. When k ≤ k, the optimal disclosure de solves the following equation: ∂ π1D + π2D 1 1 ∂π1D 1 ∂ ∂ log EΠ1 1 ∂ ũD π1D +k D + D + =0 = (1 − k) D − D D π1 ∂d ũ | ∂d ∂d ∂d π1 + π2D | π1 + π2D − πD +π {z } {z } π1 | ∂d {z } 1+k D | {z } k 1 2 >0 <0 In comparison with equation (24), for <0 >0 k ∈ [0, 1), ∂ π1D + π2D 1 ∂ ũD 1 1 ∂π1D 1 ∂ π1D (1 − k) D +k D + + − D π1D ũ | ∂d ∂d ∂d π1 + π2D | π1D + π2D {z } {z } π1 | ∂d {z } 1+k k − π1D +π2D | {z } >0 <0 D > (1 − k) d ∂ 1 1 ∂ ũ +k D D ũD | ∂d π + π 1 2 | {z } >0 Hence, the optimal disclosure de <0 π1D D >0 ∂π1D + π2 1 1 + D + π1D 2 ∂d ∂d π 1 | {z } {z } k − π D +π D <0 <0 1 is higher in the sequential setting. 32 2 ∂ πD − D 1 D ∂d π1 + π2 {z } | >0 References [1] Agarwal, Rajshree and Barry L. Bayus (2002), The Market Evolution and Sales Takeo of Product Innovations, Management Science, 48(8), 1024-1041. [2] Anton, James J. and Dennis A. Yao (2004), Little Patents and Big Secrets: Managing Intellectual Property, RAND Journal of Economics, 35, 1-22. [3] Amaldoss, Wilfred, Robert J. Meyer, Jagmohan S. Raju and Amnon Rapoport (2000), Collaborating to Compete, Marketing Science, 19(2), 105-126. [4] Bhardwaj, Pradeep, Yuxin Chen and David Godes (2008), Buyer-Initiated vs. Seller-Initiated Information Revelation, Management Science, 54, 1104-1114. [5] Brandenburger, Adam M. and Barry J. Nalebu (1996), Coopetition, Random House LLC, New York. [6] Bayus, Barry L., Sanjay Jain and Ambar G. Rao (2001), Truth or Consequences: An Analysis of Vaporware and New Product Announcements, Journal of Marketing Research, 38 (February), 3-13. [7] Belleamme, Paul (2002), Coordination on Formal v.s. De Facto Standards: a Dynamic Approach, European Journal of Political Economy, 18, 153-176. [8] Bhattacharya, Sudipto and Jay R. Ritter (1983), Innovation and Communication: Signaling with Partial Disclosure, Review of Economic Studies, I, 331-346. [9] Bonaccorsi, Andrea and Andrea Lipparine (1994), Strategic Partnerships in New Product Development: An Italian Case Study, Journal of Product Innovation Management, 11(2), 134145. [10] Boston, Elizabeth and Jean Halliday (2003), XM Takes Satellite-Radio Lead, but Sirius Could Gain Ground, Advertising Age, 74, 14. [11] Bucklin, Louis and Sanjit Sengupta (1993), "Organizing Successful Co-Marketing Alliances," Journal of Marketing, 57 (April), 32-46. [12] Chandy, Rajesh K. and Gerard J. Tellis (1998), Organizing for Radical Product Innovation: The Overlooked Role of Willingness to Cannibalize, Journal of Marketing Research, 35 (November), 474-487. [13] Choi, Jay Pil, Eirik Gaard Kristiansen and Jae Nahm (2005), An Economic Analysis of Product Pre-announcements, CESifo Economics Studies, 51(2-3), 299-319. 33 [14] Christensen, M. Clayton (2003), The Innovator's Dilemma, HarperCollins Publishers Inc., New York. [15] Denicolo, Vincenzo and Luigi Alberto Franzoni (2004), Patents, Secrets, and the First-Inventor Defense, Journal of Economics and Management Strategy, 13, 517-538. [16] Dewatripont, Mathias and Jean Tirole (2005), Modes of Communication, Journal of Political Economy, 113(6). [17] De Fraja, Gianni (1993), Strategic Spillovers in Patent Races, International Journal of In- dustrial Organization, 11, 139146. [18] Farrell, Joseph (1987), Cheap Talk, Coordination, Entry, RAND Journal of Economics, 18(1), 34-39. [19] Farrell, Joseph and Nancy T. Gallini (1988), Second-Sourcing as a Commitment: Monopoly Incentives to Attract Competition, Quarterly Journal of Economics, 103 (4), 673-694. [20] Farrell, Joseph and Matthew Rabin (1996), Cheap Talk, Journal of Economic Perspectives, 10(3), 103-118. [21] Gill, David (2008), Strategic Disclosure of Intermediate Research Results, Journal of Eco- nomics and Management Strategy, 17, 733758. [22] Guo, Liang and Juanjuan Zhang (2012), Consumer Deliberation and Product Line Design, Marketing Science, 31(6), 995-1007. [23] Hamel, Gary, Yves Doz, and C. K. Prahalad (1989), Collaborate With Your Competitorsand Win, Harvard Business Review, 67, 133-139. [24] Harbison, John R. and Peter Pekar Jr. (1998), Smart Alliances: A Practical Guide to Repeatable Success, Jossey-Bass, San Francisco. [25] Haan, Marco A. (2003), Vaporware as Means of Entry Deterrence, The Journal of Industrial Economics, 60(3), 345-358. [26] Hausem John, Gerard J. Tellis and Abbie Grin (2006), Research on Innovation: A Review and Agenda for Marketing Science, Marketing Science, 25(6), 687-717. [27] Hendricks, Kenneth and Dan Kovenock (1989), Asymmetric Information, Information Externalities and Eciency: The Case of Oil Exploration, RAND Journal of Economics, 20, 164182. 34 [28] Horstmann, Ignatius, Glenn M. MacDonald and Alan Slivinski (1985), Patents as Information Transfer Mechanisms: To Patent or (Maybe) Not to Patent, Journal of Political Economy, 93, 837-858. [29] Inkpen, Andrew C. (1996), Creating Knowledge through Collaboration, California Manage- ment Review, 39(1), 123-140. [30] Jansen, Jos (2010), Strategic Information Disclosure and Competition for an Imperfectly Protected Innovation, Journal of Industrial Economics, 58(2), 349372. [31] Kuksov, Dmitri and J. Miguel Villas-Boas (2010), When More Alternative Lead to Less Choice, Marketing Science, 29(3), 507-524. [32] Layne-Farrar, Anne, Gerard LLobet and Jorge Padilla (2014), Payments and Participation: the Incentives to Join Cooperative Standard Setting Eorts, Journal of Economics and Man- agement Strategy, 23(1), 24-49. [33] Leiponen, Aija Elina (2008), Competing Through Cooperation: The Organization of Standard Setting in Wireless Telecommunications, Management Science, 54(11), 1904-1919. [34] Lieberman, Marvin B. and David B. Montgomery (1988), First-Mover Advantage, Strategic Management Journal, 9, 41-59. [35] Luo, Xueming, Aric Rindeisch, and David K. Tse (2007), Working with Rivals: The Impact of Competitor Alliances on Financial Performance, Journal of Marketing Research, 44(1), 73-83. [36] Mayzlin, Dina and Jiwoong Shin (2011), Uninformative Advertising as an Invitation to Search, Marketing Science, 30 (4), 666-685. [37] Morrison, Allen, J. Michael Geringer, and Kerry McLellan (2000), Diaper War: KimberlyClark vs. Procter & Gamble (Condensed), Ivey School of Business case: 92M003. [38] Nieto, Maria Jesus and Lluis Santamaría (2007), The Importance of Diverse Collaborative Networks for the Novelty of Product Innovation, Technovation 27(3), 367377. [39] Ofek, Eli and Ozge Turut (2013), Vaporware, Suddenware, and Trueware: New Product Preannouncements Under Market Uncertainty, Marketing Science, 32(2), 342-355. [40] Shen, Qiaowei (2014), A Dynamic Model of Entry and Exit in a Growing Industry, Marketing Science, 33(5), 712-724. [41] Shen, Qiaowei and Ping Xiao (2014), McDonal's and KFC in China: Competitors or Comapnions?, Marketing Science, 33(2), 287-307. 35 [42] Shepard, Andrea (1987), Licensing to Enhance Demand for New Technologies, RAND Journal of Economics, 18(3), 360-368. [43] Shin, Jiwoong (2007), How Does Free Riding on Customer Service Aect Competition? Mar- keting Science, 26 (4), 488-503. [44] Steensma, H. Kevin (1996), Acquiring Technological Competencies through Inter- Organizational Collaboration: An Organizational Learning Perspective, Journal of Engineer- ing and Technology Managment, 12(4), 267-286. [45] Srinivasan, Raji, Gary L. Lilien and Arvind Rangaswamy (2006), The Emergence of Dominant Designs, Journal of Marketing, 70, 1-17. [46] Tsai, Kuen-Hung (2009), Collaborative networks and product innovation performance: Toward a contingency perspective, Research Policy, 38, 765-778. [47] Villas-Boas, J. Miguel (2009), Product Variety and Endogenous Pricing with Evaluation Costs, Management Science, 55(8), 1338-1346. [48] Wathieu, Luc and Marco Bertini (2007), Price as a Stimulus to Think: The Case for Willful Overpricing, Marketing Science, 26(1), 118-129. 36
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