Advanced Science and Technology Letters Vol.126 (Business 2016), pp.173-178 http://dx.doi.org/10.14257/astl.2016.126.33 The Influence of Flow and Satisfaction of Realistic Performing Art on Revisiting Intention Sangmin Choi1, Donghui Kim1, Juhee Kang1, Sungbae Kang 1, Taesoo Moon1 Dept. of Business Administration, Dongguk Univ. Gyeongju Campus, Dongdearo 123, Gyeongju-si, Gyeongsangbuk-do, Korea [email protected], [email protected], [email protected], [email protected] 1 Abstract. This study examines empirically the influence of realistic performing art on performing quality, flow, satisfaction and revisiting intention. This study suggests a research model to apply performing quality (story, stage management, acting and stage technology), for user’s flow experience and satisfaction of realistic performing art. Comprehensive and empirical research on realistic performing area has been lacking. We focused our intention on integrating the findings of new IT services. This study empirically conducted survey with data collection of 83 users. The empirical result shows that performing quality of realistic performing art influence positively flow experience. Also, flow experience and satisfaction influence positively revisiting intention. Accordingly, theater and production agency need to consider to adopt the realistic elements in acquiring performing and service quality. Keywords: Realistic Performing Art; Performing Quality; Flow; Satisfaction, Revisiting Intention 1 Introduction Today, realistic performing art is showing an annual growth rate of 15% due to increased demand expansion, economic income level, and advanced culture of leisure. Most people are paying more attention to enjoy leisure and have fun during break time. Realistic performing art information service has becoming a popular attraction that people spend their time and money, looking at various genres, such as musical, playacting, dance, and concert. In general, however, realistic performing should approach as a field of the performing arts industry because of a type of performance to increase realistic and immersion in the existing performing art. Thus, the realistic performing art need to be connected to the satisfaction and benefit through the added information services, which provide realistic elements in various types of performing art techniques and information services. Most performing art information services have been using a variety of media, such as web sites, social media and SNS [9]. Recently, the performing arts organizations are carrying out marketing activities using Web service ISSN: 2287-1233 ASTL Copyright 2016 SERSC Advanced Science and Technology Letters Vol.126 (Business 2016) and SNS information content related to the performing art. In addition, the performing art information service was an important communication tool to deliver information by word-of-mouth effect and person’s network. A variety of media to provide performing art information had related information quality, system quality, service quality and satisfaction [6]. Also, it is closely related to customer’s intention to purchase performing art products through word of mouth effect [11]. The existing prior studies were lacking to apply quality factor that provide variety of performance for spectators to watch the performing art. Therefore, the study on the acceptance of the performing art need to apply to flow experience theory about user satisfaction and on revisiting intention through the quality factors of performing art. 2 Literature Review and Hypothesis Development 2.1 Realistic Performing Art Few studies on consumer intention to revisit performing art, has adopted the perspective of web service quality model [1], because of explanation power to conceptualize and validate individual behavioral intention. The aim of our study was to empirically test the impact of determinants on revisiting intention of realistic performing art. Figure 1 provides a research model in this study. Fig. 1. Research Model 2.2 Performing Quality Choi[3] research show that, the choice and satisfaction factors of a musical as culture contents, and he will recognize it about relation between these two factors. The choice factors of musical showed that it was five factors extracted a price and facilities, production and directing, marketing, musical quality, OSMU (One Source Multi Use). The satisfaction factors of musical was four factors, which extracted from a production company, that is, trust of advertisement, artistic presentation, harmony of 174 Copyright © 2016 SERSC Advanced Science and Technology Letters Vol.126 (Business 2016) all members of the cast, level of leading actor or actress. Influencing factors on consumer satisfaction in the choice of musical performing showed that it was performance price and facilities level, because it is reasonable that spectators expect high satisfaction regarding a performance art. Researchers say that pricing in musical performing is due to expose the quality of work in order to raise consumer satisfaction shall be performed. This study suggests that important point is planning, directing and marketing of musical performing. Thus, we hypothesize the relationship between performing quality and flow and satisfaction. [H1] Performing quality has a positive effect on flow experience. [H2] Performing quality has a positive effect on Satisfaction. 2.3 Flow Csikszentmihalyi[5] first introduced the concept of “flow”, which is “the holistic sensation that people feel when they act with total involvement.” When people are in the state of flow they feel deep enjoyment, happiness and exhilaration. The flow phenomenon has been analyzed with different external variables and in various application of Internet environment. Kang and Moon[8] studied the influencing factors to flow experience based on web learning system: taking information exploring ability, accessibility, interactivity, systematic content, and induced motivation as antecedences, to analyze flow experience through their interaction effect. Thus, we hypothesize the relationship between flow experience, satisfaction, and revisiting intention. [H3] Flow experience has a positive effect on satisfaction. [H4] Flow experience has a positive effect on revisiting intention. 2.4 Satisfaction Delone and McLean[6] research shows that the content quality in information system is very important to satisfaction and usage intention. Moreover, from the perspective of mobile content service and network, there are a lot of research that have been studied[1, 2] on determinant factors of mobile content services. In the valuation of cognitive users, a few studies have proved that content quality and content of amiable have positive influence on perceived usefulness and user satisfaction. Thus, we hypothesize the relationship between user satisfaction and revisiting intention. [H5] Satisfaction has a positive effect on revisiting intention 3 Empirical Analysis Measurement items of each construct were extracted from prior studies. All measurement items were measured by five-point Likert-type scales with ranging from Copyright © 2016 SERSC 175 Advanced Science and Technology Letters Vol.126 (Business 2016) strongly disagree (1) to strongly agree (5). Data for this study were collected from potential users of a regional province of South Korea. Table 1 indicates the demographics statistic of 83 respondents. 3.1 Validity and Reliability We have employed Smart PLS 3.0 for data analysis. Confirmatory factor analysis provides the values of estimate, t-value, AVE, and Cronbach’s alpha explained by each construct. Cross loading value of most measurement items are higher than 0.6. A widely accepted level of adequacy for Cronbach’s alpha has been at least 0.7. All Cronbach’s alpha of variables were higher than 0.7. At the same time, all of the AVE values are higher than the threshold of 0.5. Thus, the convergent validity and reliability are acceptable. We tested discriminant validity by showing the cross loading values of all variables. The results show valid in testing discriminant validity. According to Fornall and Larcher [7], all the correlation indicators are less than the square root of AVE, assuring the discriminant validity. 3.2 Hypothesis Testing Fig. 2 reports the result of hypothesis testing. hypotheses 1, 3, 4, and 5 are accepted with high significant level. However, hypothesis 2 is rejected with low significant level. Fig. 2. Result of Hypotheses Testing 4 Conclusion This study tried to validate the revised model of performing quality, flow experience and satisfaction with the application of realistic performing art. The causal relationships among the variables to influence on revisit intention of realistic 176 Copyright © 2016 SERSC Advanced Science and Technology Letters Vol.126 (Business 2016) performing art were empirically examined. This study tried to identify the relationship between the quality factors and revisiting intention through consumer’s flow experience and satisfaction of the realistic performing art. Implications as the results of data analysis are as follows. First, performing quality (story, stage management, acting, stage technology) positively influences on flow experience of realistic performing art. Second, flow experience of realistic performing art positively influences on user satisfaction. Third, satisfaction and flow of realistic performing art positively influence on consumer’s intention to revisit. Though we already have got some results from the study, there were still some limitations in this study. First, we need to study more explanation factors (such as other information quality and service quality characteristics) which can influence perceived enjoyment for further research. Second, this study has a limitation to collect data in order to understand general social phenomenon. For further research, we believe this research is a good starting to explain people’s continuous intention to revisit realistic stage performance. Acknowledgment. This work was supported by the ICT R&D program of MSIP/IITP.[A0067 00002, Immersive Performing Technology, Unified Performance Control System, Interactive Projection Yoke, Actor- Stage Interaction, Stage Automation] References 1. Aladwani A. M, Palvia P. C. 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