IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 The Effects of Nonverbal Communication of Hotel Employees upon Emotional Responses of Hotel Guests Shirley Kueh Dr. Awangku Hassanal Bahar Pengiran Bagul School of Business and Economics University Malaysia Sabah Kota Kinabalu, Sabah, Malaysia School of Business and Economics University Malaysia Sabah Kota Kinabalu, Sabah, Malaysia Abstract – This study was carried out to understand the effects of hotel employees’ nonverbal communication on the emotional responses of hotel guests in one and two star hotels of Kota Kinabalu, Sabah, Malaysia. Through the administration of survey questionnaires, a total of 128 hotel guests participated in this study. Three dimensions of nonverbal communication were identified: body and vocal behaviour, physical appearance, and touching behaviour. With regards to emotional responses, two dimensions, namely positive and negative emotion were identified. The results showed that body and vocal behaviour, and physical appearance of hotel employees have a significant positive effect on the positive emotion of hotel guest. Meanwhile, only body and vocal behaviour of hotel employees negatively affect negative emotion of hotel guest. Interestingly, it was found that touching behaviour of hotel employees has a significant positive effect on negative emotion. Limitations of the study and suggestions for future research are also discussed. Keywords – Nonverbal Communication; Emotional Responses; Hotel Industry I. INTRODUCTION Face-to-face conversation involves immediate feedback, on the spot clarification, and the opportunity to observe nonverbal communication signs [1]. Apart from communicating meaning, information, and thoughts, [2] highlighted that attitudes and emotions can also be communicated through interpersonal interactions. In general, nonverbal behaviours fall into four categories: kinesics, proxemics, paralanguage and physical appearance [3]. Nonverbal communication is crucial to servicebased businesses because service employees are directly involved in building relationships with its customers. As explained by the concept of emotional labour, service employees are often expected to put up positive display attitude through facial expressions, body language, or even tone of voice [4, 5, 6], together with a presentable appearance [7, 8] as part of their job requirement. Research has shown that service employees’ nonverbal communication such as facial expression and emotional display [9, 10], smiles [11, 12, 13, 14] and physical appearance [15, 16, 17] has an impact on the outcome of the service encounter. Other studies provided evidence of nonverbal communication from a wider scope including posture, eye contact, smiling, nodding, vocal tone and intonation [18, 19]. The emotional contagion theory which suggests the transmission of emotion through nonverbal cues during interpersonal interaction has often been put forward to explain how customers capture the emotion of service employees [10, 20]. In other words, the expression of favourable nonverbal behaviours may induce customers to experience positive emotion at service touchpoints. Tourism is a vital economic driver for Sabah as the third highest contributor to the state’s economy after agriculture and manufacturing [21]. In fact, the growth of Sabah’s tourism industry is very encouraging, recording a total growth of 13.6% visitor arrivals in 2011 [22]. The increasing growth of the hotel industry, particularly in emerging tourist destinations led to intensified competition [23]. As a result, one of the main challenges faced by the hotel industry is the issue of improving their competitive advantage, in which, part of the concern revolve around the roles of frontline employees in creating high quality service encounters [7]. In fact, the lack of proper nonverbal communication during service interaction with customers reduces the likelihood of customers to develop appreciation or emotional connection with the service provider. The link between service employees’ nonverbal communication and the customers’ emotional response, as well as other outcome of the service encounter has been widely investigated in many settings. However, most of these studies were conducted based on experimental approach instead of real-life experiences. Although this approach allows the control of extraneous variables or any variation in the service encounter, relevant behaviours in everyday setting may not be observed. Hence, there is a need to further refine understanding of the effects of hotel employees’ nonverbal communication upon emotional responses of hotel guest based on real-life service encounters. Moreover, there is relatively limited study on nonverbal communication in the Malaysian context. With the aforementioned issues in mind, this study attempts to identify the types of nonverbal communication in the hotel industry, as well as to identify hotel employees’ nonverbal communication that cause positive emotion and negative emotion of hotel guests. 126 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 II. LITERATURE REVIEW A. Nonverbal Communication Reference [24] defined nonverbal communication as “a process whereby people, through the intentional or unintentional behaviour of normative actions and expectations, other than words themselves, express experiences, feelings, and attitudes in order to relate to and control themselves, others, and their environments” (p. 8). Although [25] also agreed that nonverbal communication refers to communication by using methods other than words, the authors highlighted that nonverbal communication is a rather complex phenomena, which at times cannot be completely separated from verbal communication, but is instead intertwined with each other. Several authors have organized nonverbal communication into different categories. Reference [26] categorized nonverbal communication into physical appearance, gesture and movement, face and eye behaviour, vocal behaviour, space, touch, environment and time, while [18] categorized nonverbal behaviours into proxemics, kinesics, oculesics and vocalic. Based on the study by [3], nonverbal communication is divided into kinesics such as body movements, body orientation, eye contact, nodding, hand shaking, and smiling; proxemics, such as the distance and relative posture between the speaker and the listener during a communication process; paralanguage such as vocal qualities or verbal cues; and physical appearance such as physical attractiveness and appropriate clothing. B. Emotional Contagion In recent years, there has been an increasing amount of literature on emotional contagion [10, 20, 27, 28, 29]. Although there is a lack of agreement in the literature on an exact definition for emotion, the term is usually explained with reference to a list of feelings such as anger, disgust, fear, joy, sadness, and surprise [30]. Meanwhile, emotional contagion is explained as “a process in which a person or group influences the emotions or behaviour of another person or group through the conscious or unconscious induction of emotion states and behavioural attitudes” [31]. Consistent with this definition, [32] explained emotional contagion as “the tendency to automatically mimic and synchronize expressions, vocalizations, postures, and movements with those of another person’s, and consequently, to converge emotionally” (pp. 96). Overall, this theory is useful to aid the understanding of various interpersonal communication settings where face-to-face interactions are involved. Relating back to this study, the emotional contagion theory is particularly valuable to explain emotional response of hotel guest towards the display of nonverbal behaviours by hotel employees. C. Relationship between Nonverbal Communication and Emotional Respose The experiment by [33] found that both positive and negative emotional responses can be unknowingly elicited when exposed to different facial expressions, indicating that emotional communication can occur unconsciously during face-to-face interaction. Extending from the previous experiment, [34] reported that mimicry was detected for the expression of anger, sadness, disgust, and happiness. Moreover, proof of emotional contagion was found for happiness and sadness. Similarly, [35] discovered that participants with high empathy demonstrate a significant mimicking reaction at short exposure times which represents automatic and spontaneous reaction. Recently, [9] used an experimental approach of videobased stimuli to investigate how multiple sequential emotional displays by employees affect customers’ negative emotions in a restaurant setting. The result showed that higher degrees of negative emotional displays by employees increased negative emotion of customers during service breakdown. On the other hand, employees’ positive emotional displays decreased customers’ negative emotion during service recovery. Unlike researchers that applied experimental approach in previous studies [9, 33, 34, 35], [16] attempted to gather data from reallife experience of consumers. They found that consumers shopping for apparel, shoes, or accessories in specialty or departmental stores relate aspects of sale associates appearance to their emotions, store image, and their purchase. In contrast to most research findings, the study by [12] found no evidence for the existence of emotional contagion in service encounters. While some researchers studied service quality perception of customers as an extension of emotional response from the nonverbal communication of service employees [10, 36, 37], others attempt to directly relate nonverbal communication of service employee with service quality perception of customers [17, 18]. Through a research conducted in banks, [10] reported that there is a positive relationship between employees’ positive emotion display and customers’ positive affect, as well as their evaluations of service quality. In another study conducted using a written scenario and a picture of the service employee in a hotel setting, [37] concluded that an open body posture, along with appropriate eye contact led to positive emotions and favourable judgments about the staff. It was further reported that staffs displaying positive nonverbal behaviours were rated more credible, competent, courteous, and trustworthy. Reference [36] also agreed that employee affective delivery has a positive influence on customer emotion and service outcomes. In addition, there are a number of studies that describe the role of service employees’ nonverbal communication in affecting customer satisfaction. Although only some researchers explained this relationship via emotional response or emotional contagion theory [13, 19, 31], it is generally agreeable that customer satisfaction in service encounters often results from a good feeling or a good perception of the service employee. In a study involving food services, [11] found that customers’ expression change as a function of employees’ facial expression. Meanwhile, [13] asserted that smiling service employee leads to a higher degree of customer satisfaction than the neutral service employee. The outcome of the study is explained by the emotion contagion theory whereby the emotions of customers were induced by facial expression or behaviour of the service employee. The research by [19] offered a broader examination of nonverbal communication from a few aspects including kinesics, proxemics, paralanguage, and physical appearance. Through the administration of survey questionnaires in family restaurants, the researchers concluded that kinesics and proxemics of service employees significantly affect customers’ positive 127 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 emotion. Meanwhile, customers’ negative emotion was affected by service employees’ kinesics and paralanguage. In turn, positive or negative emotion of customers ultimately affects their satisfaction. Clearly, the above literature review depicts the effort of researchers to understand the link between nonverbal communication and emotional response; as well as the link between emotional response and service quality perception. However, there are also studies that investigated the direct relationship between nonverbal communication and service quality perception, without explaining the possible emotional link between the two variables [17, 18, 38]. In other studies, nonverbal communication is directly linked to customer satisfaction without examining the role of emotions [14, 15, 39, 40]. In view that emotional response was not investigated in some previous studies as the link between nonverbal communication and service quality perception, as well as the link between nonverbal communication and customer satisfaction, it is interesting to first explore how nonverbal communication elicit emotional response. Therefore, the current study emphasized on the need to understand customers’ emotion before relating nonverbal communication with other aspects of consumer behaviour. III. RESEARCH METHODOLOGY A. Research Framework and Hypotheses From the literature review, it can be seen nonverbal communication studies have been conducted in different service settings including hotel reception setting. However, many of these studies employed experimental approach instead of gathering data from real-life service encounters. More importantly, majority of the studies focused on specific aspect of nonverbal communication instead of a more comprehensive study of nonverbal communication from multiple aspects. Therefore, the hypotheses of the current study were formulated based on four major aspects of nonverbal communication, namely kinesics, proxemics, paralanguage and physical appearance. In fact, the research framework for this study (Figure I) was adapted from the work by [19]. Specifically, the hypotheses for this study are as follows: H1. The perception of hotel employee’s non-verbal communication is positively related to the positive emotions of hotel guests. H1a. The perception of hotel employee’s kinesics is positively related to the positive emotions of hotel guests. H1b. The perception of hotel employee’s proxemics is positively related to the positive emotions of hotel guests. H1c. The perception of hotel employee’s paralanguage is positively related to the positive emotions of hotel guests. H1d. The perception of hotel employee’s physical appearance is positively related to the positive emotions of hotel guests. H2. The perception of hotel employee’s nonverbal communication is negatively related to the negative emotions of hotel guests. H2a. The perception of hotel employee’s kinesics is negatively related to the negative emotions of hotel guests. H2b. The perception of hotel employee’s proxemics is negatively related to the negative emotions of hotel guests. H2c. The perception of employee’s paralanguage is negatively related to the negative emotions of hotel guests. H2d. The perception of employee’s physical appearance is negatively related to the negative emotions of hotel guests. Kinesics Positive emotion Proxemics Paralanguage Negative emotion Physical appearance Figure I: A proposed conceptual framework. Source: Adapted from [19]. B. Sample and Data Collection The data used for the study were collected from hotel guests of one and two star hotel in Kota Kinabalu, Sabah. Instead of choosing higher star rated hotels as the scope of study, one and two star hotels were chosen because service variation in these hotels is anticipated to be higher. As compared to higher star hotels, lower star rated hotels generally lack explicit policies about display rules of its front line employees [6]. Therefore, it would be more meaningful to study the effects of hotel employees’ nonverbal communication on the service encounter under such condition. Of the 15 one and two star hotels approached, two hotels, namely Tune Hotel 1 Borneo and De Galleria Hotel participated in the study. A self-administered questionnaire was developed using adapted questions from [19]. A pilot study was conducted to establish content validity of the questionnaire. For this, a total of 10 hotel guests were approached to fill in the questionnaire. Upon completion of the questionnaire, they were asked on whether they were able to understand the questions and the terms used. Overall, the participants responded that they clearly understood the questionnaire. Therefore, the survey instrument was maintained as it is. Data was collected in June 2012. Hotel guests who were sitting or waiting at respective hotel lobby were personally approached to answer the questionnaire. All questionnaires were checked on the spot to ensure that the questionnaires were properly filled. Although a total of 170 128 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 hotel guests were approached, only 128 hotel guests agreed to participate in the survey (response rate of 75.3%). C. Instrument and Measurement Multiple items scale was used to measure each construct in the study. The questionnaire instrument included 28 items divided into three sections. Section A consisted of questions about demographic information of the respondents, including gender, age, nationality, and duration of stay. Section B consisted of questions related to nonverbal communication of hotel employees whereas Section C consisted of questions related to emotional responses of hotel guests. Nonverbal communication is the process of communicating experience, feelings, and attitude by means other than language expressions [24]. In general, nonverbal communication can be categorized into kinesics, proxemics, paralanguage, and physical appearance [3]. To measure hotel guests’ perception of nonverbal communication, this study adapted multi-item scales of [19], modifying them to fit the study settings (Table I). Meanwhile, emotions are “personal feelings arising from certain behaviours or responses” [19]. This study examines both positive and negative dimensions of hotel guests’ emotional response (Table II). A seven-point Likert scale ranging from “strongly disagree” (1) to “strongly agree” (7) was used to assess each statement in Section B and Section C of the questionnaire. TABLE I. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. MEASUREMENT ITEMS FOR NONVERBAL COMMUNICATION Nonverbal communication The employee has a nice, friendly attitude in serving customers. The employee uses proper eye contact. The employee nods his/ her head properly. The employee shakes his/ her hand properly. The employee serves with polite smiles. The employee serves me from a proper distance. The employee keeps appropriate distance while serving me. The employee has appropriate physical touch with me when providing services. The employee converses in a proper tone. The employee converses clearly. The employee converses in a gentle tone. The employee converses in a proper speed. The employee’s voice is not annoyingly loud. The employee has an attractive look. The employee is properly dressed. The employee has an arranged hairstyle. Source: Adapted from [19] TABLE II. No. 1. 2. 3. 4. 5. 6. 7. 8. MEASUREMENT ITEMS FOR EMOTIONAL RESPONSE Emotional response This hotel makes me feel happy. This hotel makes me feel pleased. This hotel makes me feel entertained. This hotel makes me feel delighted. This hotel makes me feel unhappy. This hotel makes me feel annoyed. This hotel makes me feel bored. This hotel makes me feel disappointed. Source: Adopted from [19] D. Data Analysis Method The Statistical Package for Social Science, SPSS version 16.0 was used for the data analysis. Descriptive statistics was performed to profile demographics of the respondents. Factor analysis was used as a technique to summarize the structure of a set of variables [41]. Following factor analysis, a reliability test was conducted to determine whether a group of items consistently reflected the construct it is measuring [42]. Then, Pearson correlation coefficients were computed to examine the strength and the direction of the relationship between all constructs of the study. Multiple regression analysis was run twice to test the significance of the two main hypotheses. IV. RESULTS A. Profile of Respondents The demographic characteristics of the respondents are presented in Table III. Respondents consisted of 43.8% male and 56.2% female. With regards to age, 39.1% of the respondents were 20 to 29 years old, 32.8% were 30 to 39 years old, 22.7% were 40 to 49 years old, and 5.5% were 50 years old or older. The majority of the respondents (85.9%) were locals. As for the hotel stayed, 69.5% of the respondents stayed in Tune Hotel and 30.5% stayed in De Galleria Hotel. Lastly, in terms of the duration of stay at respective hotels, 58.6% stayed for less than three days, 32.8% stayed for three to seven days, and 8.6% stayed for more than 7 days. TABLE III. Characteristics Gender Age Nationality Hotel stayed Duration of stay DEMOGRAPHIC CHARACTERISTICS OF SAMPLE (N = 128) Category Male Female 20 – 29 30 – 39 40 – 49 Above 50 Local Foreign Tune Hotel 1 Borneo De Galleria Hotel Less than 3 days 3 – 7 days More than 7 days Frequency 56 72 50 42 29 7 110 18 89 39 75 42 11 Percentage 43.8 56.2 39.1 32.8 22.7 5.5 85.9 14.1 69.5 30.5 58.6 32.8 8.6 B. Factor Analysis Factor analysis was conducted to confirm that distinct dimensions existed for each factor. In this study, the total number of items to measure all of the variables was 24. Using the guideline by [43], the minimum requirement for the sample size was 120 respondents (five times 24 items). Therefore, the current sample size of 128 respondents was acceptable and appropriate for factor analysis. Six assumptions recommended by [43] need to be met to ensure the appropriateness of factor analysis. First, the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO) values must exceed .50. Second, the result of Barlett’s test of sphericity should be at least significant at .05. Third, anti-image correlation matrix of items should be at least above .50. Fourth, communalities of the variables must be greater than .50. Fifth, the factor loadings of .50 or above for each item are considered practical and statistically significant 129 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 for sample size of 120. Lastly, factors with eigenvalues greater than 1 are considered significant. 1) Nonverbal Communication: The initial run of the factor analysis on the 16 items of nonverbal communication produced three factors with eigenvalues above one. The Kaiser-Meyer-Oklin value was .914 and the Bartlette test of sphericity was significant at 0.000. Anti-image correlation for the entire nonverbal communication variables were greater than 0.5. However, the item “the employee keeps appropriate distance while serving me” was cross-loaded on other factors. This item was removed and the factor analysis was run again. The second run of factor analysis also extracted three factors with eigenvalues greater than one. The Kaiser-Meyer-Oklin value was .916 and the Bartlette test of sphericity was significant at 0.000. Anti-image correlation for the entire nonverbal communication variables were greater than 0.5. The item “the employee serves me from a proper distance” was dropped due to cross-loading on other factors. The final run of factor analysis yielded three factors with eigenvalue greater than one, which explained 78.47% of the total variance (Table IV). The Kaiser-Meyer-Oklin value was .912 and the Bartlette test of sphericity was significant at 0.000. Anti-image correlation of the remaining 14 items of nonverbal communication exceeded 0.50. The communalities of the 14 variables ranged from .60 to .91 while the factor loadings ranged from .63 to .90. Factor one captured 41.44% of the total variance with an eigenvalue of 8.21. Since factor one is a combination of items from kinesics and paralanguage, it was renamed as “body and vocal behaviour”. Factor two “physical appearance”, has an eigenvalue of 1.67, reflecting 22.14% of the total variance. Since the items in factor three are related to touching behaviour, this factor is named as “touching behaviour”. Reference [44] mentioned that a factor with fewer than three items could be weak and unstable. However, although “touching behaviour” consists of only two items, the factor loadings of these two items were high. Since the squared loading is the amount of the variable’s total variance accounted for by the factor, high factor loading translates into high variance accounted for by the factor. Moreover, factor loadings exceeding .70 are considered indicative of a well-defined structure [43]. Hence, factor three “touching behaviour” was retained for further analysis. This factor has an eigenvalue of 1.11, explaining 14.89% of the total variance. 2) Emotional Response: As expected, two factors with eigenvalue greater than one were produced which explained 85.22% of the total variance (Table V). The Kaiser-MeyerOklin value was .811 and the Barlett’s test of sphericity was significant at 0.000. Anti-image correlation of all 8 items exceeded 0.5. The communalities of the 8 variables range from .762 to .925 while the factor loadings range from .826 to. 936. Factor one “positive emotion” has an eigenvalue of 4.71, reflecting 44.09% of the total variance. Meanwhile, factor two “negative emotion” captured 41.14% of the total variance with an eigenvalue of 2.11. TABLE IV. FACTOR ANALYSIS OF NONVERBAL COMMUNICATION Items Factor 1: Body and vocal behaviour The employee has a nice, friendly attitude in serving customers. The employee converses in a gentle tone. The employee uses proper eye contact. The employee converses in a proper speed. The employee converses clearly. The employee serves with polite smiles. The employee converses in a proper tone. The employee’s voice is not annoyingly loud. The employee nods his/ her head properly. Factor 2: Physical appearance The employee is properly dressed. The employee has an arranged hairstyle. The employee has an attractive look. Factor 3: Touching behaviour The employee shakes his/ her hand properly. The employee has appropriate physical touch with me when providing services. Eigenvalue % of variance Total variance explained Measure of sampling adequacy Bartlette test of sphericity Significant TABLE V. F1 F2 F3 .848 .831 .818 .813 .807 .759 .756 .728 .632 .901 .886 .854 .860 .819 8.21 41.44 78.47 .912 1575 .000 1.67 22.14 1.11 14.89 FACTOR ANALYSIS OF EMOTIONAL RESPONSE Items Factor 1: Positive emotion This hotel makes me feel pleased. This hotel makes me feel entertained. This hotel makes me feel delighted. This hotel makes me feel happy. Factor 2: Negative emotion This hotel makes me feel disappointed. This hotel makes me feel annoyed. This hotel makes me feel bored. This hotel makes me feel unhappy. Eigenvalue % of variance Total variance explained Measure of sampling adequacy Bartlette test of sphericity Significant F1 F2 .936 .924 .913 .904 4.71 44.09 85.22 .811 1040 .000 .941 .891 .890 .826 2.11 41.14 C. Reliability Analysis In general, an alpha value close to 1.0 indicates high internal consistency reliability, an alpha value less than 0.6 is considered to be poor, valued of 0.7 are considered acceptable, and values above 0.8 are deemed to be good [45]. All of the Cronbach’s alpha values revealed significantly over 0.8, indicating good reliability (Table VI). TABLE VI. RELIABILITY ANALYSIS ON THE VARIABLES OF THE STUDY Construct Variables No. of items Nonverbal communication Body and vocal behaviour Physical appearance Touching behaviour Positive emotion Negative emotion 9 Cronbach’s Alpha .95 3 2 4 4 .93 .82 .95 .93 Emotional response 130 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 D. Modification of Research Framework and Hypothesis Restatement In the process of factor analysis, some variables have been removed and some new variables are created. Therefore, the original conceptual framework was modified. Certain items from kinesics and paralanguage falls under same factor and were renamed as “body and vocal behaviours”. “Physical appearance” was maintained and “touching behaviour” was added (Figure II). Based on the modified conceptual framework, a restatement of hypotheses is needed (Table VII). Body and vocal behaviour Positive emotion Physical appearance Negative emotion Touching behaviour Figure II: Modification of conceptual framework. TABLE VII. SUMMARY OF RESTATED HYPOTHESES Hypotheses The perception of hotel employee’s nonverbal communication is H1. positively related to the positive emotions of hotel guests. The perception of hotel employee’s body and vocal H1a. behaviour is positively related to the positive emotions of hotel guests. The perception of hotel employee’s physical appearance H1b. is positively related to the positive emotions of hotel guests. The perception of hotel employee’s touching behaviour is H1c. positively related to the positive emotions of hotel guests. The perception of hotel employee’s nonverbal communication is H2. negatively related to the negative emotions of hotel guests. The perception of hotel employee’s body and vocal H2a. behaviour is negatively related to the negative emotions of hotel guests. The perception of hotel employee’s physical appearance H2b. is negatively related to the negative emotions of hotel guests. The perception of hotel employee’s touching behaviour is H2c. negatively related to the negative emotions of hotel guests. E. Descriptive Statistics The mean and standard deviation values for all of the study variables are presented in Table VIII. The mean scores for each of the three components of nonverbal communication varied from 4.50 to 5.55. This indicates that the respondents had a moderate to high perception of nonverbal communications displayed by hotel employees. The standard deviation for these components ranged from 0.83 to 1.16. With regards to emotional response, positive emotion had a higher mean value of 4.72, with a standard deviation of 1.33. In comparison, negative emotion had a lower mean value of 2.81, with a standard deviation of 1.46. TABLE VIII. MEAN AND STANDARD DEVIATION FOR VARIABLES IN THE STUDY Variables Body and vocal behaviour Physical appearance Touching behaviour Positive emotion Negative emotion Mean 5.55 4.71 4.50 4.72 2.81 Standard deviation 0.83 1.16 1.01 1.33 1.46 F. Correlation Analysis Pearson correlation coefficients were computed in order to examine the strength and the direction of the relationship between all constructs in the study. In general, correlation value can be interpreted as: small/ weak when the correlation value is r = -.10 to -.29 or r = .10 to. 29, medium/ moderate when the value is r = -.3 to r = -.49 or r = .3 to r = .49, large/ strong when the value is r = -.50 to -1.00 or r = .50 to 1.00 [46]. All of the nonverbal communication dimension variables were found to be positively correlated with positive emotion (Table IX). Specifically, both body and vocal behaviour (r = .636, p < 0.01) and physical appearance (r = .637, p < 0.01) were strongly and significantly correlated with positive emotion. Meanwhile, touching behaviour (r = .460, p < 0.01) was found to be moderately and positively associated with positive emotion. Only body and vocal behaviour and physical appearance were found to be negatively correlated with negative emotion. In particular, body and vocal behaviour (r = -.307, p < 0.01) was moderately and negatively associated with negative emotion whereas physical appearance (r = -.205, p < 0.05) was weakly and negatively correlated to negative emotion. Touching behaviour, however, has found no correlation with negative emotion. Meanwhile, the correlation between nonverbal communication variables and negative emotion are significant and negative except for touching behaviour. It is noteworthy that the correlations between some of the independent variables, such as between physical appearance and body and vocal behaviour (r = .55); and between touching behaviour and vocal behaviour (r = .58) are strong, suggesting that the dimensions of nonverbal communication may not be that distinct. However, the results of the correlation coefficient analysis indicated that none of the correlation coefficient values of the studied variables is above 0.8. Hence, multicollinearity does not exist in this study [43]. TABLE IX. PEARSON CORRELATION MATRIX OF THE STUDY VARIABLES (N = 128) Variables Body and 1 vocal behaviour Physical 2 appearance Touching 3 behaviour Positive 4 emotion Negative 5 emotion 1 1 2 3 4 .553** 1 .578** .422** 1 .636** .637** .460** 1 -.307** -.205* -.012 -.383** 5 1 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). 131 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 G. Multiple Regression Analysis 1) Relationship between Nonverbal Communication and Positive Emotion: The first hypothesis (H1) examined whether there is a positive relationship between nonverbal communication and positive emotion. Results in Table X indicated that 52.6% variances in positive emotion can be explained by nonverbal communication components (R2 = .526, p < 0.01). Two dimensions of nonverbal communication variables was found to have positive influence on positive emotion, which are body and vocal behaviour (β = .371, p < 0.01) and physical appearance (β = .399, p < 0.01). However, the effect of touching behaviour on positive emotion was not significant (p > 0.05). This means that H1a and H1b are supported while H1c is rejected. Therefore, H1 is partially supported (Table XII). TABLE X. Dependent variable Positive emotion R2 REGRESSION ANALYSIS OF NONVERBAL COMMUNICATION WITH POSITIVE EMOTION Independent variables Nonverbal communication: Body and vocal behaviour Physical appearance Touching behaviour .526 Standardized coefficient Beta (β) .371** .399** .077 Note: Significant levels: ** p < 0.01 2) Relationship between Nonverbal Communication and Negative Emotion: The second hypothesis (H2) examined whether there is a negative relationship between nonverbal communication and negative emotion. Results in Table XI indicated that 14.1% variances in negative emotion can be explained by nonverbal communication components (R2 = .141, p < 0.01). Only one dimension of nonverbal communication variables, namely body and vocal behaviour (β = -.409, p < 0.01) was found to have significant negative influence on negative emotion. Meanwhile, the negative effect of physical appearance on negative emotion was not significant (p > 0.05). Interestingly, touching behaviour was found to have a positive effect on negative emotion (β = .263, p < 0.05). This means that H2a is supported while H2b and H2c are rejected. Therefore, H2 is partially supported (Table XII). TABLE XI. Dependent variable Negative emotion R2 REGRESSION ANALYSIS OF NONVERBAL COMMUNICATION WITH NEGATIVE EMOTION Independent variables Nonverbal communication: Body and vocal behaviour Physical appearance Touching behaviour .141 Standardized coefficient Beta (β) -.409** -.090 .263* Note: Significant levels: ** p < 0.01 TABLE XII. RESULTS OF HYPOTHESES TESTING Statement of Hypothesis The perception of hotel employee’s nonverbal H1. communication is positively related to the positive emotions of hotel guests. The perception of hotel employee’s body H1a. and vocal behaviour is positively related to the positive emotions of hotel guests. The perception of hotel employee’s H1b. physical appearance is positively related to the positive emotions of hotel guests. The perception of hotel employee’s H1c. touching behaviour is positively related to the positive emotions of hotel guests. The perception of hotel employee’s nonverbal H2. communication is negatively related to the negative emotions of hotel guests. The perception of hotel employee’s body H2a. and vocal behaviour is negatively related to the negative emotions of hotel guests. The perception of hotel employee’s H2b. physical appearance is negatively related to the negative emotions of hotel guests. The perception of hotel employee’s H2c. touching behaviour is negatively related to the negative emotions of hotel guests. V. Results Partially supported Supported Supported Rejected Partially supported Supported Rejected Rejected DISCUSSION AND CONCLUSION The purpose of this study is to examine the effects of hotel employees’ nonverbal communication on the emotional response of hotel guests. The discussion addresses the following research issues concerning: (1) the identification of the multidimensional construct of nonverbal communication and emotional responses, and (2) the effects of the dimensions of nonverbal communication comprising body and vocal behaviour, physical appearance, and touching behaviour on positive emotion and negative emotion. Although most previous nonverbal communication studies focused on single perspectives at smaller scopes or in some instances do not dimensionally distinguish different types of nonverbal communication [9, 10, 11, 14, 15, 17, 16, 38, 40], research findings by [19] in a family restaurant setting do indicate that nonverbal communication is a multi-dimensional concept. The result of confirmatory factor analysis in their study confirmed the overall fit of the seven factor model which consisted of kinesics, proxemics, paralanguage, physical appearance, positive emotion, negative emotion and customer satisfaction. In this study, three dimensions of nonverbal communication were identified from the analysis: body and vocal behaviour, physical appearance, and touching behaviour. Differences in the dimensions identified in the current study and that identified in the study of [19] are perhaps caused by differences in the research setting. Consistent with the findings of [19], factor analysis of emotional responses revealed two distinct dimensions: positive emotion and negative emotion. In the context of sale associates’ appearance, [16] also agreed that emotion of customers is divided into positive and negative emotion. Through factor analysis, the study by [47] also yielded positive and negative dimensions of emotional experience in product consumption situations. Similarly, [48] distinguished positive and negative emotion in the context of consumption experience 132 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 of cell-phones and automobiles from the consumer perspective. Although both of these studies involved tangible product purchase instead of services, it is clear that emotion experienced by customers consists of positive and negative dimensions. Findings of this study demonstrated that each of the nonverbal communication dimensions has different effects on positive and negative emotion. In particular, body and vocal behaviour of hotel employees significantly affects both positive and negative emotion of hotel guests. This finding is partially supported by the research of [19] in a family restaurant setting. Specifically, they found that kinesics of service employees, defined as symbols of eyesight, gestures, and postures, has a significant effect on both positive and negative emotion of customers. However, their study indicated that paralanguage, characterized by voice tone, pitch, and speech speed, has a significant effect only on negative emotion of customers. Similarly, other researchers who incorporated both facial movements and vocal characteristics into their study also revealed that greeting, smiling, proper speaking tone, eye contact, and thanking is positively related to customers’ positive emotion or positive affect [36, 10]. Several other previous studies that focused only on body movements also found similar results with the current study. For example, the experiment based on a restaurant setting conducted by [9] reported that higher levels of service employees’ negative emotional displays characterized by facial expressions and movements increased customers’ negative emotion during service failure. On the other hand, positive emotional displays by employees reduced customers’ negative emotion during service recovery. With regards to the experiment carried out by [37] based on a service recovery scenario at a hotel, it was found that an open body posture, along with appropriate eye contact lead to positive emotions and favourable perception about the hotel employee. Overall, the emotional response of customers elicited through the body and vocal behaviour dimension of nonverbal communication can be well explained by the emotional contagion theory. Basically, this theory illustrates the process in which behaviours or emotional display of a person such as facial expressions, vocalizations, postures, and body movements, influences or induces similar emotional response in another person [31, 32]. In the context of service encounter, this theory explains the mechanism of how customers capture the emotion or attitude of service employees through nonverbal cues. In this study, physical appearance of hotel employees was found to have a significant positive effect on the positive emotion of hotel guests. This finding is consistent with the findings of a number of previous studies. In a qualitative study conducted by [16] based on apparel, shoe, or accessories retail settings, the researchers discovered that a large majority of participants in the study linked sale associates’ appearance characterized by attributes such as professional appearance and appealing overall appearance with their positive emotion. Another study also revealed that attitudes of customers are more positive when the service employee is physically attractive, provided that the service type involved is related to attractiveness, such as a hair cut service [17]. In contrast to the previously discussed literature, [19] reported that physical appearance of service employees in the context of family restaurant in Seoul did not significantly affect customers’ positive or negative emotion. Consistent with this finding, the current study also revealed that physical appearance of hotel employees does not have a significant effect on the negative emotions of hotel guests. However, [16] found that physical appearance of service employees in apparel, shoe, or accessories retail settings do have an impact on negative emotion of customers. This study found that touching behaviour of hotel employees does not have a significant positive effect on the positive emotion of hotel guests. However, it was discovered that this dimension of nonverbal communication does have a significant positive effect on the negative emotion of hotel guests. This finding is difficult to justify due to a lack of empirical evidence from literature to support the relationship between touching behaviour of service employees and the emotional responses of service employees. Nonetheless, the findings that touching behaviour is not significantly related to positive emotion, but positively related to negative emotion, could be due to the fact that these behaviours are expected of the hotel employees. A. Contribution of the Study This study identified the dimensions of service employees’ nonverbal communication in the context of service provision in hotels. Moreover, this study verified the effects of hotel employees’ nonverbal communication on the emotional responses of hotel guests. Most literature assessed the effects of nonverbal communication through experimental approach by manipulating nonverbal communication displays of service providers, and almost no study has been made of hotels in reallife service encounters. Hence, this study is one of the early studies in this field which provides a basis for further understanding of nonverbal communication in hotels. In addition, this study also highlighted the importance of using nonverbal communication as a tool to deliver clear message. In a way or another, appropriate use of nonverbal communication enriches the total communication process between service providers and the customer. Therefore, service employees must be aware of how to effectively use these tools under different situations in order to attract favourable perception or attitude from customers. For example, the display of smiles, friendly attitude as well as the use of appropriate gestures, are able to make customers feel welcomed. Although many service industries such as hotels and restaurants provide a mixture of tangible and intangible goods, it is noteworthy that good customer experience always plays a large part in triggering favourable behaviours. In particular, companies need to properly manage the use of nonverbal communication in creating high quality service encounter and treat it as a tool to gain competitive advantage. Periodical training programs for verbal and nonverbal communication need to be carried out to polish the communication skills of service employees. Additionally, policies related to standardized service procedure enhanced by the appropriate use of nonverbal communication need to be enforced. Finally, as a 133 IRACST- International Journal of Research in Management & Technology (IJRMT), ISSN: 2249-9563 Vol. 3, No.4, August 2013 form of motivation, incentives can be provided to service employees who perform proper communication. B. Limitations of the Study This study contains a number of limitations that needs to be addressed. The first limitation of the study lies in the study subjects itself. Since one and two star hotels are selected as study subjects in this research, the findings of this research is difficult to be judged as representative of the entire hotel industry. Hotel guests who choose to stay at higher star rated hotels may have a higher expectation towards services provided by hotel employees whereas those who choose to stay at lower star rated hotels are likely to have a lower expectation towards services provided by hotel employees. Hence, it is anticipated that differences in service expectation may result in a different perception or attitude towards nonverbal communication cues displayed by hotel employees. The second limitation of the study is that majority of the respondent were locals (85.9%) and only 14.1% of the respondents were foreigners. This means that the findings of this study are most likely applicable only in the context of Malaysian culture. In fact, people who share similar culture, language, and ethnicity are more likely to read and understand each others nonverbal communication more accurately [18]. Consequently, emotional response elicited may also vary. Furthermore, this study did not account for the possible confounding effects of display norms and verbal communication. The hotel reception involved in this study is managed by two to three employees, and therefore, the responses to the items on nonverbal communication could perhaps reflect collective behaviours of the hotel employees. However, due to the lack of employee display norm policies in lower star rated hotels, the responses to the items on nonverbal communication could also be affected be affected by individual behaviour. For example, responses might be unfavourable if the respondent is dissatisfied with one of the employee, instead of the entire group of employees at the hotel reception. Lastly, another limitation of this study is related to the fact that verbal and nonverbal communication takes place at the same time in most situations. In fact, it has been pointed out that nonverbal communication is a complex phenomena that is difficult to be completely separated from verbal communication [25, 26]. Nevertheless, this research does not control hotel employees’ verbal communication, but rather limit it only to nonverbal communication and investigated the relationship between each nonverbal communication dimensions and the emotional response in hotel guests. C. Suggestions for Future Research This study suggests future research to compare the effects of nonverbal communication in lower and higher star rated hotels. Such comparison would be useful to identify nonverbal communication dimensions that are perceived as important by hotel guests from lower and higher star rated hotels respectively. Most importantly, this comparison addresses the concern that hotel guests who pay different accommodation fees expect different levels of treatment by hotel employees. Furthermore, future studies should address the concern of imbalanced mix of respondent nationality. This is due to the reason that a more heterogeneous mix of respondents from varying cultural background allows researchers to gather richer information regarding the perception of hotel guests towards nonverbal communication of hotel guests. In fact, future research could also compare the effects of nonverbal communication between different culture clusters. Additionally, this study also suggests future research to investigate and compare the separate effects of verbal and nonverbal communication method on the emotional responses of customers. As previously mentioned, since verbal and nonverbal communication often comes into play hand in hand, it would be meaningful to understand how these two types of communication individually affects emotional responses of customers. 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