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研究生: 蔡曼彭
Maneesai, Tharapat
論文名稱: Effect of Chatbot's Communication Style on Customer's Re-Patronage Intention: Perspective of Attribution, Social Cognitive and Perceived Justice
Effect of Chatbot's Communication Style on Customer's Re-Patronage Intention: Perspective of Attribution, Social Cognitive and Perceived Justice
指導教授: 林彣珊
Lin, Wen-Shan
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 90
外文關鍵詞: User Behavior, Service Recovery, Perceived Service Climate, Attribution Theory, Perceived Justice Theory, Re-patronage Intention
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  • In the context of customer service, chatbots have emerged as a crucial technology to reshape customer interactions and service recovery processes. This study scoping into the impact of chatbot communication styles on customer re-patronage intentions, drawing from attribution theory and the concept of perceived justice. A comprehensive experimental methodology was utilized, involving participants interacting with chatbots characterized by social oriented communication styles. The research analyzed the influence of these distinct styles on customers' blame attribution high and low, customers' perceived justice, and service satisfaction with the service recovery experience. The results of the study indicate that chatbots with a social-oriented communication style significantly elevate the perceived service climate and customer satisfaction. In contrast, customer prefer low social-oriented chatbots during more serious situations. These findings have implications for the design and implementation of chatbots in customer service.

    ABSTRACT I ACKNOWLEDGMENTS II TABLE OF CONTENTS III LIST OF TABLES VII LIST OF FIGURES VIII CHAPTER ONE INTRODUCTION 1 1.1 Research Background. 1 1.2 Research Motivation. 3 1.3 Research Objective. 4 1.4 Research Questions. 4 CHAPTER TWO LITERATURE REVIEW 5 2.1 Attribution Theory. 5 2.2 Social Cognitive Theory. 7 2.3 Customer Service in Airline Industry. 11 2.4 Service Quality. 12 2.5 Service Recovery. 15 2.6 Perceived Service Climate. 17 2.7 Perceived Justice Theory. 20 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 23 3.1 Research Model. 23 3.2 Hypothesis Development. 24 3.2.1 Relationship Between Social-Oriented Interactional Style of Chatbot and Perceived Service Climate. 24 3.2.2 Relationship Between Blame Attribution and Perceived Service Climate. 24 3.2.3 Relationship Between Perceived Service Climate and Service Satisfaction. 25 3.2.4 Relationship Between Service Satisfaction and Re-patronage Intention. 25 3.2.5 Relationship Between Perceived Justice and Service Satisfaction & Re-Patronage Intention. 26 3.3 Research Design & Experimental Procedures. 27 3.4 Measurements. 29 3.4.1 Manipulation Check. 29 3.4.2 Research Variables. 30 3.5 Data Analysis Procedure. 32 3.6 Pilot Study. 32 CHAPTER FOUR RESEARCH RESULTS 34 4.1 Data Characteristics. 34 4.2 Descriptive Analysis. 36 4.3 Factor Analysis and Reliability Test. 39 4.4 Manipulation Check (T-Test). 43 4.5 ANOVA. 44 4.5.1 Hypothesis 1: Social Oriented > Perceived Service Climate. 45 4.5.2 Hypothesis 2: Blame Attribution > Perceived Service Climate. 45 4.6 Structural Equation Model Analysis (SEM). 46 4.6.1 Hypothesis 3: Perceived Service Climate > Service Satisfaction. 47 4.6.2 Hypothesis 4: Service Satisfaction > Re-Patronage Intention. 47 4.6.3 Hypotheses 5a: Perceived Justice > Service Satisfaction. 48 4.6.4 Hypotheses 5b: Perceived Justice > Re-Patronage Intention. 48 4.7 Findings of Interview. 49 4.7.1 Question 1: Before participating in the experiment's chatbot, what is your expectation that chatbot could help you with the scenario's problem? 50 4.7.2 Question 2: After participated the experiment, what is the value chatbot can deliver in your opinion? 50 4.7.3 Question 3: Compare to human-to-human communication, what kind of interpersonal communication that you expect to see from chatbot? 50 4.7.4 Question 4: The overall satisfaction after participated the experiment's chatbot, do you still prefer to talk to real human? and why? 51 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 52 5.1 Research Discussion and Conclusion. 52 5.2 Theoretical Implementation. 55 5.3 Managerial Implications. 57 5.4 Research Limitations and Future Research. 58 REFERENCES 59 APPENDICES 66 Appendix 1 – Experiment's Scenarios66 Experiment's Scenario 1: Low Blame Attribution (High Social-Oriented) 66 Experiment's Scenario 2: Low Blame Attribution (Low Social-Oriented) 67 Experiment's Scenario 3: High Blame Attribution (High Social-Oriented) 68 Experiment's Scenario 4: High Blame Attribution (Low Social-Oriented) 69 Appendix 2 – Experiment's Chatbots 70 Experiment's Chatbot 1: Low Blame Attribution (High Social-Oriented) 70 Experiment's Chatbot 2: Low Blame Attribution (Low Social-Oriented) 71 Experiment's Chatbot 3: High Blame Attribution (High Social-Oriented) 72 Experiment's Chatbot 4: High Blame Attribution (Low Social-Oriented) 73 Appendix 3 – Measurement Items in Thai 74 Appendix 4 – Answers from Qualitative Study (Interview) 76 Question 1 76 Question 2 77 Question 3 78 Question 4 79

    Adams, J. S. (1965). Inequity in social exchange. In Advances in experimental social psychology (Vol. 2, pp. 267-299): Elsevier.
    Adetayo, A., bin S Senathirajah, A. R., Devasia, S. N., & Haque, R. (2022). Modelling Consumer Perception of Service Quality in Banks. resmilitaris, 12(2), 1357-1373.
    Agarwal, I., & Gowda, K. R. (2021). The effect of airline service quality on customer satisfaction and loyalty in India. Materials Today: Proceedings, 37, 1341-1348.
    Akamavi, R. K., Mohamed, E., Pellmann, K., & Xu, Y. (2015). Key determinants of passenger loyalty in the low-cost airline business. Tourism management, 46, 528-545.
    Al-Refaie, A., Bata, N., Eteiwi, D., & Jalham, I. (2014). Examining Factors that Affect Passenger's Overall Satisfaction and Loyalty: Evidence from Jordan Airport. Jordan journal of mechanical & industrial engineering, 8(2).
    Alzoubi, H., Alshurideh, M., Kurdi, B., & Inairat, M. (2020). Do perceived service value, quality, price fairness and service recovery shape customer satisfaction and delight? A practical study in the service telecommunication context. Uncertain Supply Chain Management, 8(3), 579-588.
    Ampong, G. O. A., Abubakari, A., Mohammed, M., Appaw-Agbola, E. T., Addae, J. A., & Ofori, K. S. (2021). Exploring customer loyalty following service recovery: a replication study in the Ghanaian hotel industry. Journal of Hospitality and Tourism Insights, 4(5), 639-657.
    Andreassen, T. W. (2001). From disgust to delight: do customers hold a grudge? Journal of Service Research, 4(1), 39-49.
    Appel, J., von der Pütten, A., Krämer, N. C., & Gratch, J. (2012). Does humanity matter? Analyzing the importance of social cues and perceived agency of a computer system for the emergence of social reactions during human-computer interaction. Advances in Human-Computer Interaction, 2012, 13-13.
    Bacile, T. J. (2020). Digital customer service and customer-to-customer interactions: investigating the effect of online incivility on customer perceived service climate. Journal of Service Management, 31(3), 441-464.
    Bae, B. R. (2021). Effects of service authenticity, customer participation and customer-perceived service climate on customers' service evaluation. Asia Pacific Journal of Marketing and Logistics, 33(5), 1239-1254.
    Bagherzadeh, R., Rawal, M., Wei, S., & Torres, J. L. S. (2020). The journey from customer participation in service failure to co-creation in service recovery. Journal of Retailing and Consumer Services, 54, 102058.
    Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28).
    Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual review of psychology, 52(1), 1-26.
    Bandura, A. (2002). Social cognitive theory in cultural context. Applied psychology, 51(2), 269-290.
    Béal, M., & Grégoire, Y. (2022). How do observers react to companies’ humorous responses to online public complaints? Journal of Service Research, 25(2), 242-259.
    Bickmore, T., & Cassell, J. (2001). Relational agents: a model and implementation of building user trust. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
    Blodgett, J. G., Hill, D. J., & Tax, S. S. (1997). The effects of distributive, procedural, and interactional justice on postcomplaint behavior. Journal of retailing, 73(2), 185-210.
    Borah, S. B., Prakhya, S., & Sharma, A. (2020). Leveraging service recovery strategies to reduce customer churn in an emerging market. Journal of the Academy of Marketing Science, 48, 848-868.
    Bowen, D. E., & Schneider, B. (2014). A service climate synthesis and future research agenda. Journal of Service Research, 17(1), 5-22.
    Brave, S., Nass, C., & Hutchinson, K. (2005). Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent. International Journal of Human-Computer Studies, 62(2), 161-178.
    Buttle, F., & Burton, J. (2002). Does service failure influence customer loyalty? Journal of Consumer Behaviour: an international research review, 1(3), 217-227.
    Calisir, N., Basak, E., & Calisir, F. (2016). Key drivers of passenger loyalty: A case of Frankfurt–Istanbul flights. Journal of Air Transport Management, 53, 211-217.
    Chang, H. H., Lai, M.-K., & Hsu, C.-H. (2012). Recovery of online service: Perceived justice and transaction frequency. Computers in Human Behavior, 28(6), 2199-2208.
    Chanpariyavatevong, K., Wipulanusat, W., Champahom, T., Jomnonkwao, S., Chonsalasin, D., & Ratanavaraha, V. (2021). Predicting airline customer loyalty by integrating structural equation modeling and Bayesian networks. Sustainability, 13(13), 7046.
    Chattaraman, V., Kwon, W.-S., Gilbert, J. E., & Ross, K. (2019). Should AI-Based, conversational digital assistants employ social-or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in Human Behavior, 90, 315-330.
    Chen, Q., Gong, Y., Lu, Y., & Tang, J. (2022). Classifying and measuring the service quality of AI chatbot in frontline service. Journal of Business research, 145, 552-568.
    Cheng, B. L., Gan, C. C., Imrie, B. C., & Mansori, S. (2018). Service recovery, customer satisfaction and customer loyalty: evidence from Malaysia’s hotel industry. International Journal of Quality and Service Sciences, 11(2), 187-203.
    Choi, S., & Mattila, A. S. (2008). Perceived controllability and service expectations: Influences on customer reactions following service failure. Journal of Business research, 61(1), 24-30.
    Clemmer, E. C., & Schneider, B. (1996). Fair service. Advances in services marketing and management, 109-126.
    Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: a reexamination and extension. Journal of Marketing, 56(3), 55-68.
    Das, G., Wiener, H. J., & Kareklas, I. (2019). To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. Journal of Business research, 96, 147-156.
    Davidow, M., & Leigh, J. H. (1998). The effects of organizational complaint responses on consumer satisfaction, word of mouth activity and repurchase intentions. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 11, 91-102.
    de Haan, H., Snijder, J., van Nimwegen, C., & Beun, R. J. (2018). Chatbot personality and customer satisfaction. Info Support Research.
    Derks, D., Bos, A. E., & Von Grumbkow, J. (2008). Emoticons in computer-mediated communication: Social motives and social context. Cyberpsychology & behavior, 11(1), 99-101.
    Ding, M.-C., & Lii, Y.-S. (2016). Handling online service recovery: Effects of perceived justice on online games. Telematics and Informatics, 33(4), 881-895.
    Famiyeh, S., Asante-Darko, D., & Kwarteng, A. (2018). Service quality, customer satisfaction, and loyalty in the banking sector: The moderating role of organizational culture. International Journal of Quality & Reliability Management, 35(8), 1546-1567.
    Følstad, A., & Taylor, C. (2021). Investigating the user experience of customer service chatbot interaction: a framework for qualitative analysis of chatbot dialogues. Quality and User Experience, 6(1), 6.
    Fu, X., Liu, X., Hua, C., Li, Z., & Du, Q. (2021). Understanding tour guides’ service failure: Integrating a two-tier triadic business model with attribution theory. Journal of Hospitality and Tourism Management, 47, 506-516.
    Gan, C., Li, H., & Liu, Y. (2023). Understanding social media discontinuance behavior in China: a perspective of social cognitive theory. Information Technology & People.
    Ganster, T., Eimler, S. C., & Krämer, N. C. (2012). Same same but different!? The differential influence of smilies and emoticons on person perception. Cyberpsychology, Behavior, and Social Networking, 15(4), 226-230.
    Gibbon, D., Moore, R., & Winski, R. (1997). Handbook of standards and resources for spoken language systems: Walter de Gruyter.
    Gnewuch, U., Morana, S., Adam, M., & Maedche, A. (2018). Faster is not always better: understanding the effect of dynamic response delays in human-chatbot interaction.
    Govindaraju, V. (2021). A review of social cognitive theory from the perspective of interpersonal communication. Multicultural Education, 7(12), 1-5.
    Greenberg, J. (1990). Organizational justice: Yesterday, today, and tomorrow. Journal of management, 16(2), 399-432.
    Greenberg, J., & Colquitt, J. A. (2013). Handbook of organizational justice: Psychology Press.
    Gremler, D. D., & Brown, S. W. (1996). Service loyalty: its nature, importance, and implications. Advancing service quality: A global perspective, 5(1), 171-181.
    Grönroos, C. (2000). Service management and marketing : a customer relationship management approach. In (pp. x, 394): #J. #Wiley.
    Harrison-Walker, L. J. (2019). The critical role of customer forgiveness in successful service recovery. Journal of Business research, 95, 376-391.
    Hogreve, J., Bilstein, N., & Hoerner, K. (2019). Service recovery on stage: effects of social media recovery on virtually present others. Journal of Service Research, 22(4), 421-439.
    Holtgraves, T., & Han, T.-L. (2007). A procedure for studying online conversational processing using a chat bot. Behavior research methods, 39(1), 156-163.
    Homburg, C., & Fürst, A. (2005). How organizational complaint handling drives customer loyalty: an analysis of the mechanistic and the organic approach. Journal of Marketing, 69(3), 95-114.
    Hoxmeier, J. A., & DiCesare, C. (2000). System response time and user satisfaction: An experimental study of browser-based applications.
    Hu, T., Xu, A., Liu, Z., You, Q., Guo, Y., Sinha, V., . . . Akkiraju, R. (2018). Touch your heart: A tone-aware chatbot for customer care on social media. Paper presented at the Proceedings of the 2018 CHI conference on human factors in computing systems.
    Hui, M. K., & Au, K. (2001). Justice perceptions of complaint-handling: a cross-cultural comparison between PRC and Canadian customers. Journal of Business research, 52(2), 161-173.
    Ingaldi, M. (2018). Overview of the main methods of service quality analysis. Production Engineering Archives, 18(18), 54-59.
    Jahmani, A., Bourini, I., & Jawabreh, O. A. (2020). The relationship between service quality, client satisfaction, perceived value and client loyalty: A case study of fly emirates. Cuadernos de Turismo(45), 219-238.
    Javed, F., & Cheema, S. (2015). The relationship between organizational resources and work engagement: The mediating role of service climate as a predictor of performance and loyalty in shopping malls of Pakistan. Journal of Business Studies Quarterly, 7(2), 11.
    Jung, J. H., Yoo, J. J., & Arnold, T. J. (2017). Service climate as a moderator of the effects of customer-to-customer interactions on customer support and service quality. Journal of Service Research, 20(4), 426-440.
    Kandulapati, S., & Bellamkonda, R. (2014). Examining the structural relationships of service recovery, customer satisfaction and image in online retailing. Operations and Supply Chain Management: An International Journal, 7(2), 70-78.
    Ketron, S., & Naletelich, K. (2020). How anthropomorphic cues affect reactions to service delays. Journal of Services Marketing, 34(4), 473-482.
    Khudhair, H. Y., Jusoh, A., Mardani, A., Nor, K. M., & Streimikiene, D. (2019). Review of scoping studies on service quality, customer satisfaction and customer loyalty in the airline industry. Contemporary Economics, 375-386.
    Klopfenstein, L. C., Delpriori, S., Malatini, S., & Bogliolo, A. (2017). The rise of bots: A survey of conversational interfaces, patterns, and paradigms. Paper presented at the Proceedings of the 2017 conference on designing interactive systems.
    Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior, 19(3), 335-353.
    Kumar, V., Smart, P., Maddern, H., & Maull, R. (2008). Alternative perspectives on service quality and customer satisfaction: the role of BPM. International Journal of Service Industry Management, 19(2), 176-187.
    Kursan Milaković, I. (2021). Purchase experience during the COVID‐19 pandemic and social cognitive theory: The relevance of consumer vulnerability, resilience, and adaptability for purchase satisfaction and repurchase. International Journal of Consumer Studies, 45(6), 1425-1442.
    Leo, X., & Huh, Y. E. (2020). Who gets the blame for service failures? Attribution of responsibility toward robot versus human service providers and service firms. Computers in Human Behavior, 113, 106520.
    Li, M., & Hua, Y. (2022). Integrating social presence with social learning to promote purchase intention: based on social cognitive theory. Frontiers in Psychology, 12, 810181.
    Lohmann, K., Pyka, S. S., & Zanger, C. (2017). The effects of smileys on receivers’ emotions. Journal of Consumer Marketing, 34(6), 489-495.
    Luszczynska, A., & Schwarzer, R. (2015). Social cognitive theory. Fac Health Sci Publ, 225-251.
    Ma, K., & Zhong, X. (2021). Moral judgment and perceived justice in service recovery. Marketing Intelligence & Planning, 39(4), 574-588.
    Magnini, V. P., Ford, J. B., Markowski, E. P., & Honeycutt, E. D. (2007). The service recovery paradox: justifiable theory or smoldering myth? Journal of Services Marketing, 21(3), 213-225.
    Maxham III, J. G., & Netemeyer, R. G. (2002). Modeling customer perceptions of complaint handling over time: the effects of perceived justice on satisfaction and intent. Journal of retailing, 78(4), 239-252.
    McQuilken, L., Robertson, N., Abbas, G., & Polonsky, M. (2020). Frontline health professionals’ perceptions of their adaptive competences in service recovery. Journal of Strategic Marketing, 28(1), 70-94.
    Medberg, G., & Grönroos, C. (2020). Value-in-use and service quality: do customers see a difference? Journal of Service Theory and Practice, 30(4/5), 507-529.
    Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. Journal of Retailing and Consumer Services, 40, 261-269.
    Mirzaei, A., Carter, S. R., Chen, J. Y., Rittsteuer, C., & Schneider, C. R. (2019). Development of a questionnaire to measure consumers’ perceptions of service quality in community pharmacies. Research in Social and Administrative Pharmacy, 15(4), 346-357.
    Moon, Y. (1999). The effects of physical distance and response latency on persuasion in computer-mediated communication and human–computer communication. Journal of Experimental Psychology: Applied, 5(4), 379.
    Morris, S. V. (1988). How many lost customers have you won back today?: An aggressive approach to complaint handling in the hotel industry. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 1, 86-92.
    Muhammad, L. (2020). Mediating role of customer forgiveness between perceived justice and satisfaction. Journal of Retailing and Consumer Services, 52, 101886.
    Muylle, S., Moenaert, R., & Despontin, M. (2004). The conceptualization and empirical validation of web site user satisfaction. Information & management, 41(5), 543-560.
    Nguyen, Q. N., Sidorova, A., & Torres, R. (2022). User interactions with chatbot interfaces vs. Menu-based interfaces: An empirical study. Computers in Human Behavior, 128, 107093.
    Njeru, L. M., Cheruiyot, T. K., & Maru, L. (2019). Effect of service quality on customer loyalty in selected African Airlines.
    Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(4_suppl1), 33-44.
    Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of retailing, 67(4), 420.
    Pincus, J. (2004). The consequences of unmet needs: The evolving role of motivation in consumer research. Journal of Consumer Behaviour: an international research review, 3(4), 375-387.
    Prentice, C., Hsiao, A., Wang, X., & Loureiro, S. M. C. (2023). Mind, service quality, relationship with airlines. Journal of Strategic Marketing, 31(1), 212-234.
    Ratten, V., & Ratten, H. (2007). Social cognitive theory in technological innovations. European journal of innovation management, 10(1), 90-108.
    Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10).
    Rizan, M., Warokka, A., Wibowo, A., & Febrilia, I. (2020). Leadership Styles and Customer Loyalty: A Lesson from Emerging Southeast Asia's Airlines Industry. The Journal of Asian Finance, Economics, and Business, 7(9), 477-488.
    Sahin, H., Kusakci, A. O., & Mbowe, B. (2021). The effects of frequent flyer programs in the airline industry on customer loyalty. Heritage and Sustainable Development, 3(2), 130-147.
    Salah, M., & Abou-Shouk, M. A. (2019). The effect of customer relationship management practices on airline customer loyalty. Journal of Tourism, Heritage & Services Marketing (JTHSM), 5(2), 11-19.
    Saleh, M. I. (2023). Attribution Theory Revisited: Probing the Link Among Locus of Causality Theory, Destination Social Responsibility, Tourism Experience Types, and Tourist Behavior. Journal of Travel Research, 62(6), 1309-1327.
    Schneider, B., White, S. S., & Paul, M. C. (1998). Linking service climate and customer perceptions of service quality: Tests of a causal model. Journal of applied Psychology, 83(2), 150.
    Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary educational psychology, 60, 101832.
    Sengupta, S., Ray, D., Trendel, O., & Vaerenbergh, Y. V. (2018). The effects of apologies for service failures in the global online retail. International Journal of Electronic Commerce, 22(3), 419-445.
    Shechtman, N., & Horowitz, L. M. (2003). Media inequality in conversation: how people behave differently when interacting with computers and people. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
    Shen, C., & Yahya, Y. (2021). The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective. Journal of Air Transport Management, 91, 101966.
    Sivakumar, K., Li, M., & Dong, B. (2014). Service quality: The impact of frequency, timing, proximity, and sequence of failures and delights. Journal of Marketing, 78(1), 41-58.
    Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My chatbot companion-a study of human-chatbot relationships. International Journal of Human-Computer Studies, 149, 102601.
    Smith, A. K., & Bolton, R. N. (1998). An experimental investigation of customer reactions to service failure and recovery encounters: paradox or peril? Journal of Service Research, 1(1), 65-81.
    Spilka, B., Shaver, P. R., & Kirkpatrick, L. A. (2019). A general attribution theory for the psychology of religion. In The psychology of religion (pp. 153-170): Routledge.
    Supi, Noermijati, Wirawan Irawanto, D., & Puspaningrum, A. (2023). Talent management practices and turnover intention: The role of perceived distributive justice and perceived organizational support. Cogent Business & Management, 10(3), 2265089.
    Tax, S. S., & Brown, S. W. (2000). Research insights and practices. Handbook of services marketing and management, 271.
    Tax, S. S., Brown, S. W., & Chandrashekaran, M. (1998). Customer evaluations of service complaint experiences: implications for relationship marketing. Journal of Marketing, 62(2), 60-76.
    Vaidyanathan, R., & Aggarwal, P. (2003). Who is the fairest of them all? An attributional approach to price fairness perceptions. Journal of Business research, 56(6), 453-463.
    Van Vaerenbergh, Y., Orsingher, C., Vermeir, I., & Larivière, B. (2014). A meta-analysis of relationships linking service failure attributions to customer outcomes. Journal of Service Research, 17(4), 381-398.
    Vlachos, I., & Lin, Z. (2014). Drivers of airline loyalty: Evidence from the business travelers in China. Transportation Research Part E: Logistics and Transportation Review, 71, 1-17.
    Weiner, B. (1986). Attribution, emotion, and action.
    Yirenkyi, K. A. (2012). Factors affecting customer satisfaction and preference in the telecommunications industry: a case study of MTN Ghana.
    Yoo, W., Kim, S. Y., Hong, Y., Chih, M.-Y., Shah, D. V., & Gustafson, D. H. (2015). Patient–clinician mobile communication: Analyzing text messaging between adolescents with asthma and nurse case managers. TELEMEDICINE and e-HEALTH, 21(1), 62-69.
    Zaid, S., Palilati, A., Madjid, R., & Bua, H. (2021). Impact of service recovery, customer satisfaction, and corporate image on customer loyalty. Journal of Asian Finance, Economics and Business, 8(1), 961-970.
    Zhang, L., Erickson, L. B., & Webb, H. C. (2011). Effects of “emotional text” on online customer service chat.
    Zhang, Y., Prayag, G., & Song, H. (2021). Attribution theory and negative emotions in tourism experiences. Tourism Management Perspectives, 40, 100904.
    Zhu, J., Jiang, Y., Wang, X., & Huang, S. (2023). Social-or task-oriented: how does social crowding shape consumers' preferences for chatbot conversational styles? Journal of Research in Interactive Marketing, 17(5), 641-662.

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