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研究生: 武玉玄
Ngoc, Huyen Vu
論文名稱: Response Strategies for Online Complaints: The Impact on Online Reputation
Response Strategies for Online Complaints: The Impact on Online Reputation
指導教授: 陳正忠
Chen, Jeng-Chung
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: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 71
外文關鍵詞: Online Complaint, Response Strategy, Service Failure Recovery, Response Quality, Online Reputation, Emotions Embedded
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  • The continuing growth of service failures, along with the rise of complaints on social media, emphasize the importance of providing effective response strategies. This study aimed to explore the expected outcomes of businesses in responding to customers' complaints on social media and examined the effects of different response strategies (i.e., response type and tone of voice) as well as the role of emotions embedded in complaints. We adopted a mixed-method approach, two qualitative studies followed by a quantitative study. By interviewing companies, we identified a new phenomenon in complaints handling management, firms’ prioritized motives in responding to online complaints is no longer to satisfy the complainants but to gain the observers’ high evaluations toward companies’ online reputation. The result of first study also revealed one of the antecedents of online reputation, the quality of response, which mediates the relationship between response type and online reputation. The second study was approached in an opposite perspective, by interviewing online shoppers, who roles as observers and potential customers in the complaint-response context, measurement scale of the new construct explored in the first study, the response quality, was developed. The last study, the experimental study, was conducted to test and confirm results of the first two studies. The results indicate that emotions embedded in complaints moderate the relationship of response tone of voice and response quality while response quality plays a mediating role in the positive relationship between response type and online reputation. This study suggests firms’ managers to take emotions embedded in complaints into consideration as well as the important role of response quality when responding to online complaints. With the results in practice context, the study also contributes to the service recovery literature in providing “online reputation” as the most concerned motives in online complaints management.

    TABLE OF CONTENTS ABSTRACT I ACKNOWLEDGEMENTS III TABLE OF CONTENTS IV LIST OF TABLES VII LIST OF FIGURES VIII CHAPTER ONE INTRODUCTION 1 1.1 Research Background. 1 1.1.1 Online Complaints on Social Media. 1 1.1.2 Response Strategies for Online Complaints. 3 1.2 Research Gap. 5 1.3 Research Objectives and Contribution. 6 1.3.1 Research Objectives. 6 1.3.2 Research Contributions. 6 1.3 Research Flow. 7 CHAPTER TWO QUALITATIVE STUDY 9 2.1 Qualitative Study 1. 9 2.1.1 Research Design. 9 2.1.2 Methodology. 10 2.1.3 Sampling. 11 2.1.4 Data Analysis. 11 2.1.5 Response Quality. 14 2.2 Qualitative Study 2. 15 2.2.1 Response Quality on Observers’ Perspective. 15 2.2.2 Sampling. 16 2.2.3 Result. 16 CHAPTER THREE LITERATURE REVIEW AND HYPOTHESES DEVELOPMENT 18 3.1 Literature Review. 18 3.1.1 Response Strategy. 18 3.1.2 Emotions Embedded in Complaints. 22 3.1.3 Online Reputation. 23 3.2 Hypotheses Development. 25 3.2.1 The Effect of Response Type on Response Quality. 25 3.2.2 The Effect of Response Tone of Voice on Response Quality. 26 3.2.3 The Moderating Effect of Emotions Embedded in Complaints on the Relationship between Response Strategies and Response Quality. 27 3.2.4 The Mediating Role of Response Quality. 28 3.3 Research Framework. 29 3.4 Summary of Hypotheses. 30 CHAPTER FOUR QUANTITATIVE STUDY: STUDY 3 32 4.1 Research Design. 32 4.1.1 Stimuli and Procedure. 32 4.1.2 Data Collection. 33 4.2 Manipulation Check. 34 4.3 Measurement. 35 4.3.1 Construct Measurement. 35 4.4 Statistic Data Analysis Procedure. 37 4.5 Results. 38 4.5.1 Respondents’ Characteristics. 38 4.5.2 Descriptive Statistical Analysis Results. 40 4.5.3 Confirmatory Factor Analysis and Reliability Test. 41 4.5.4 Hypothesis Testing Results. 44 CHAPTER FIVE CONCLUSION AND SUGGESTION 48 5.1 Research Discussion. 48 5.2 Theoretical Contribution and Practical Implication. 50 5.2.1 Theoretical Implication. 50 5.2.2 Practical Implication. 51 5.3 Research Limitation and Future Research. 52 5.4 Conclusions. 53 REFERENCES 55 APPENDICES 62 Appendix A: Interview’s questions. 62 Appendix B: The Questionnaire Items. 64 Appendix C: Screenshots of Complaint – Response Scenarios. 68

    Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2019). The future of social media in marketing. Journal of the Academy of Marketing Science, 0. doi: 10.1007/s11747-019-00695-1
    Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485-1509.
    Ariely, D. (2007). HBR CASE STUDY The Customers' Revenge. Harvard Business Review, 85(12), 31.
    Ashkanasy, N. M. (2002). Studies of cognition and emotion in organisations: Attribution, affective events, emotional intelligence and perception of emotion. Australian Journal of Management, 27(1_suppl), 11-20.
    Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999). The role of emotions in marketing. Journal of the Academy of Mmarketing Science, 27(2), 184-206.
    Baker, T. L., Meyer, T., & Johnson, J. D. (2008). Individual differences in perceptions of service failure and recovery: the role of race and discriminatory bias. Journal of the Academy of Marketing Science, 36(4), 552-564.
    Barcelos, R. H., Dantas, D. C., & Sénécal, S. (2018). Watch your tone: How a brand's tone of voice on social media influences consumer responses. Journal of Interactive Marketing, 41(0), 60-80.
    Barnett, M. L., Jermier, J. M., & Lafferty, B. A. (2006). Corporate reputation: The definitional landscape. Corporate Reputation Review, 9(1), 26-38.
    Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.
    Bitner, M. J., Booms, B. H., & Tetreault, M. S. (1990). The service encounter: diagnosing favorable and unfavorable incidents. Journal of Marketing, 54(1), 71-84.
    Bonifield, C., & Cole, C. (2007). Affective responses to service failure: Anger, regret, and retaliatory versus conciliatory responses. Marketing Letters, 18(1-2), 85-99.
    Bonifield, C., & Cole, C. A. (2008). Better him than me: social comparison theory and service recovery. Journal of the Academy of Marketing Science, 36(4), 565-577.
    Brief, A. P., & Weiss, H. M. (2002). Organizational behavior: Affect in the workplace. Annual Review of Psychology, 53(1), 279-307.
    Byrne, Z. S., Dvorak, K. J., Peters, J. M., Ray, I., Howe, A., & Sanchez, D. (2016). From the user's perspective: Perceptions of risk relative to benefit associated with using the Internet. Computers in Human Behavior, 59(0), 456-468.
    Cao, Q., Duan, W., & Gan, Q. (2011). Exploring determinants of voting for the “helpfulness” of online user reviews: A text mining approach. Decision Support Systems, 50(2), 511-521.
    Chang, H. H., Tsai, Y.-C., Wong, K. H., Wang, J. W., & Cho, F. J. (2015). The effects of response strategies and severity of failure on consumer attribution with regard to negative word-of-mouth. Decision Support Systems, 71(0), 48-61.
    Chebat, J.-C., & Slusarczyk, W. (2005). How emotions mediate the effects of perceived justice on loyalty in service recovery situations: an empirical study. Journal of Business Research, 58(5), 664-673.
    Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
    Chun, R., Da Silva, R., Davies, G., & Roper, S. (2005). Corporate reputation and competitiveness: Routledge.
    Clark, G. L., Kaminski, P. F., & Rink, D. R. (1992). Consumer complaints: Advice on how companies should respond based on an empirical study. Journal of Consumer Marketing, 9(3), 5-14.
    Cohen, J. B., Pham, M. T., & Andrade, E. B. (2008). The nature and role of affect in consumer behavior. Handbook of consumer psychology, 4, 297-348.
    Crijns, H., Cauberghe, V., Hudders, L., & Claeys, A.-S. (2017). How to deal with online consumer comments during a crisis? The impact of personalized organizational responses on organizational reputation. Computers in Human Behavior, 75, 619-631.
    Crisafulli, B., & Singh, J. (2017). Service failures in e-retailing: Examining the effects of response time, compensation, and service criticality. Computers in Human Behavior, 77(0), 413-424.
    Crisafulli, B., & Singh, J. J. C. i. H. B. (2017). Service failures in e-retailing: Examining the effects of response time, compensation, and service criticality. 77, 413-424.
    Crosby, P. B. (1979). Quality is free: The art of making quality certain (Vol. 94). USA: McGraw-hill New York.
    Davies, G., & Chun, R. (2003). The use of metaphor in the exploration of the brand concept. Journal of Marketing Management, 19(1-2), 45-71.
    De Guinea, A. O., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. Mis Quarterly, 433-444.
    Deng, L., & Poole, M. S. (2010). Affect in web interfaces: a study of the impacts of web page visual complexity and order. Mis Quarterly, 711-730.
    Drollinger, T., Comer, L. B., & Warrington, P. T. (2006). Development and validation of the active empathetic listening scale. Psychology & Marketing, 23(2), 161-180.
    Farmer, R., & Glass, B. (2010). Building web reputation systems: " O'Reilly Media, Inc.".
    Fombrun, C., & Van Riel, C. (1997). The reputational landscape. Corporate Reputation Review, 0(0), 1-16.
    Gallaugher, J., & Ransbotham, S. (2010). Social media and customer dialog management at Starbucks. MIS Quarterly Executive, 9(4).
    Gattiker, U. (2008). Brand versus reputation: Jeff Bezos, Richard Branson, Josef Ackermann and Pat Russo to the rescue: ComMetrics.
    Gelbrich, K. (2010). Anger, frustration, and helplessness after service failure: coping strategies and effective informational support. Journal of the Academy of Marketing Science, 38(5), 567-585.
    Gelbrich, K., & Roschk, H. (2011). A meta-analysis of organizational complaint handling and customer responses. Journal of Service Research, 14(1), 24-43.
    Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
    Goode, S., Hoehle, H., Venkatesh, V., & Brown, S. A. (2017). User compensation as a data breach recovery action: An investigation of the Sony PlayStation Network breach. MIS Quarterly, 41(3).
    Gorry, G. A., & Westbrook, R. A. (2009). Winning the internet confidence game. Corporate Reputation Review, 12(3), 195-203.
    Grégoire, Y., Salle, A., & Tripp, T. M. (2015). Managing social media crises with your customers: The good, the bad, and the ugly. Business Horizons, 58(2), 173-182.
    Grégoire, Y., Tripp, T. M., & Legoux, R. (2009). When customer love turns into lasting hate: The effects of relationship strength and time on customer revenge and avoidance. Journal of Marketing, 73(6), 18-32.
    Gretry, A., Horváth, C., Belei, N., & van Riel, A. C. (2017). “Don't pretend to be my friend!” When an informal brand communication style backfires on social media. Journal of Business Research, 74(0), 77-89.
    Grewal, D., Roggeveen, A. L., & Tsiros, M. (2008). The effect of compensation on repurchase intentions in service recovery. Journal of Retailing, 84(4), 424-434.
    Gruber, T. (2011). I want to believe they really care: How complaining customers want to be treated by frontline employees. Journal of Service Management, 22(1), 85-110.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
    Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
    Harrison-Walker, L. J. (2019). The critical role of customer forgiveness in successful service recovery. Journal of Business Research, 95, 376-391.
    Hart, C. W., Heskett, J. L., & Sasser, J. W. (1990). The profitable art of service recovery. Harvard Business Review, 68(4), 148-156.
    Harun, A., Rokonuzzaman, M., Prybutok, G., & Prybutok, V. R. (2018). How to influence consumer mindset: A perspective from service recovery. Journal of Retailing and Consumer Services, 42, 65-77.
    Hazée, S., Van Vaerenbergh, Y., & Armirotto, V. (2017). Co-creating service recovery after service failure: The role of brand equity. Journal of Business Research, 74(0), 101-109.
    Helm, S., Liehr-Gobbers, K., & Storck, C. (2011). Reputation management: Springer Science & Business Media.
    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.
    Homburg, C., Müller, M., & Klarmann, M. (2011). When should the customer really be king? On the optimum level of salesperson customer orientation in sales encounters. Journal of Marketing, 75(2), 55-74.
    Istanbulluoglu, D. (2017). Complaint handling on social media: The impact of multiple response times on consumer satisfaction. Computers in Human Behavior, 74, 72-82.
    Jung, N. Y., & Seock, Y.-K. (2017). Effect of service recovery on customers’ perceived justice, satisfaction, and word-of-mouth intentions on online shopping websites. Journal of Retailing and Consumer Services, 37, 23-30.
    Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68.
    Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of Marketing, 59(2), 71-82.
    Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: Communication style, trust, and intentions. Journal of Business Research, 63(8), 793-800.
    Kelleher, T. (2009). Conversational voice, communicated commitment, and public relations outcomes in interactive online communication. Journal of Communication, 59(1), 172-188.
    Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66(0), 236-247.
    Knipp, V. A. (2009). Trust the Brand-Corporate Reputation Management in Private Banking: Diplomica Verlag.
    Knox, G., & Van Oest, R. (2014). Customer complaints and recovery effectiveness: A customer base approach. Journal of Marketing, 78(5), 42-57.
    Kotler, P., & Armstrong, G. (2010). Principles of marketing (13th ed.). USA: Pearson education.
    Kumar, N., Qiu, L., & Kumar, S. (2018). Exit, voice, and response on digital platforms: An empirical investigation of online management response strategies. Information Systems Research, 29(4), 849-870.
    LaRocco, J. M., House, J. S., & French Jr, J. R. (1980). Social support, occupational stress, and health. Journal of Health and Social Behavior, 0, 202-218.
    Lee, Y. L., & Song, S. (2010). An empirical investigation of electronic word-of-mouth: Informational motive and corporate response strategy. Computers in Human Behavior, 26(5), 1073-1080.
    Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14(4), 473-493.
    Li, C., Cui, G., & Peng, L. (2018). Tailoring management response to negative reviews: The effectiveness of accommodative versus defensive responses. Computers in Human Behavior, 84(0), 272-284.
    Liang, T.-P., & Huang, J.-S. (1998). An empirical study on consumer acceptance of products in electronic markets: a transaction cost model. Decision Support Systems, 24(1), 29-43.
    Liu, C.-H., Kung, D. C., Hsia, P., & Hsu, C.-T. (2001). An object-based data flow testing approach for web applications. International Journal of Software Engineering and Knowledge Engineering, 11(02), 157-179.
    Liu, H., Jayawardhena, C., Dibb, S., & Ranaweera, C. (2019). Examining the trade-off between compensation and promptness in eWOM-triggered service recovery: A restorative justice perspective. Tourism Management, 75, 381-392.
    Loewenstein, G., & Lerner, J. S. (2003). The role of affect in decision making. Handbook of affective science, 619(642), 3.
    Logan, K. (2014). Why isn't everyone doing it? A comparison of antecedents to following brands on Twitter and Facebook. Journal of Interactive Advertising, 14(2), 60-72.
    Lui, T.-W., Bartosiak, M., Piccoli, G., & Sadhya, V. (2018). Online review response strategy and its effects on competitive performance. Tourism Management, 67, 180-190.
    Matešić, M., Vučković, K., & Dovedan, Z. (2010). Should academia care about online reputation management and monitoring? Paper presented at the The 33rd International Convention MIPRO.
    Mattila, A. S., & Patterson, P. G. (2004). Service recovery and fairness perceptions in collectivist and individualist contexts. Journal of Service Research, 6(4), 336-346.
    Maxham III, J. G. (2001). Service recovery's influence on consumer satisfaction, positive word-of-mouth, and purchase intentions. Journal of Business Research, 54(1), 11-24.
    Mei, X. Y., Bagaas, I. K., & Relling, E. K. (2019). Customer complaint behaviour (CCB) in the retail sector: why do customers voice their complaints on Facebook? The International Review of Retail, Distribution and Consumer Research, 29(1), 63-78.
    Menon, K., & Dubé, L. (2007). The effect of emotional provider support on angry versus anxious consumers. International Journal of Research in Marketing, 24(3), 268-275.
    Miles, M. P., & Covin, J. G. (2000). Environmental marketing: A source of reputational, competitive, and financial advantage. Journal of Business Ethics, 23(3), 299-311.
    Miller, J. L., Craighead, C. W., & Karwan, K. R. (2000). Service recovery: a framework and empirical investigation. Journal of Operations Management, 18(4), 387-400.
    Min, H., Lim, Y., & Magnini, V. P. (2015). Factors affecting customer satisfaction in responses to negative online hotel reviews: The impact of empathy, paraphrasing, and speed. Cornell Hospitality Quarterly, 56(2), 223-231.
    Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial management & data systems, 116(9), 1849-1864.
    Park, H., & Cameron, G. T. (2014). Keeping it real: Exploring the roles of conversational human voice and source credibility in crisis communication via blogs. Journalism & Mass Communication Quarterly, 91(3), 487-507.
    Park, H., & Lee, H. (2013). Show us you are real: The effect of human-versus-organizational presence on online relationship building through social networking sites. Cyberpsychology, Behavior, and Social Networking, 16(4), 265-271.
    Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717-731.
    Proserpio, D., & Zervas, G. (2017). Online reputation management: Estimating the impact of management responses on consumer reviews. Marketing Science, 36(5), 645-665.
    Rezabakhsh, B., Bornemann, D., Hansen, U., & Schrader, U. (2006). Consumer power: a comparison of the old economy and the Internet economy. Journal of Consumer Policy, 29(1), 3-36.
    Roschk, H., & Gelbrich, K. (2014). Identifying appropriate compensation types for service failures: A meta-analytic and experimental analysis. Journal of Service Research, 17(2), 195-211.
    Sabherwal, R., & Jeyaraj, A. (2015). Information Technology Impacts on Firm Performance: An Extension of Kohli and Devaraj (2003). MIS quarterly, 39(4), 809-836.
    Schaefer, C., Coyne, J. C., & Lazarus, R. S. (1981). The health-related functions of social support. Journal of Behavioral Medicine, 4(4), 381-406.
    Shoham, A. (2004). Flow experiences and image making: An online chat‐room ethnography. Psychology & Marketing, 21(10), 855-882.
    Simon, F. (2013). The influence of empathy in complaint handling: Evidence of gratitudinal and transactional routes to loyalty. Journal of Retailing and Consumer Services, 20(6), 599-608.
    Skogland, I., & Siguaw, J. A. (2004). Are your satisfied customers loyal? Cornell Hotel and Restaurant Administration Quarterly, 45(3), 221-234.
    Sparks, B. A., & McColl-Kennedy, J. R. (2001). Justice strategy options for increased customer satisfaction in a services recovery setting. Journal of Business Research, 54(3), 209-218.
    Sparks, B. A., So, K. K. F., & Bradley, G. L. (2016). Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern. Tourism Management, 53, 74-85.
    Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41-50.
    Steinmann, S., Mau, G., & Schramm‐Klein, H. (2015). Brand communication success in online consumption communities: An experimental analysis of the effects of communication style and brand pictorial representation. Psychology & Marketing, 32(3), 356-371.
    Sun, H., & Zhang, P. (2006). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems, 7(1), 24.
    Svari, S., Svensson, G., Slåtten, T., & Edvardsson, B. (2010). A DIP-construct of perceived justice in negative service encounters and complaint handling in the Norwegian tourism industry. Managing Service Quality: An International Journal, 20(1), 26-45.
    Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2016). An Exploratory Study of the Formation and Impact of Electronic Service Failures. Mis Quarterly, 40(1), 1-29.
    Tripp, T. M., & Grégoire, Y. (2011). When unhappy customers strike back on the Internet. MIT Sloan Management Review, 52(3), 37-44.
    Vaish, A., Grossmann, T., & Woodward, A. (2008). Not all emotions are created equal: the negativity bias in social-emotional development. Psychological Bulletin, 134(3), 383.
    Van Kleef, G. A. (2009). How emotions regulate social life: The emotions as social information (EASI) model. Current Directions in Psychological Science, 18(3), 184-188.
    Van Kleef, G. A. (2010). The emerging view of emotion as social information. Social and Personality Psychology Compass, 4(5), 331-343.
    Van Kleef, G. A. (2016). The interpersonal dynamics of emotion. US: Cambridge University Press.
    Van Vaerenbergh, Y., & Orsingher, C. (2016). Service recovery: An integrative framework and research agenda. Academy of Management Perspectives, 30(3), 328-346.
    Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly(0), 21-54.
    Verhagen, T., Nauta, A., & Feldberg, F. (2013). Negative online word-of-mouth: Behavioral indicator or emotional release? Computers in Human Behavior, 29(4), 1430-1440.
    Wang, Y., & Chaudhry, A. (2018). When and how managers' responses to online reviews affect subsequent reviews. Journal of Marketing Research, 55(2), 163-177.
    Wei, W., Miao, L., & Huang, Z. J. (2013). Customer engagement behaviors and hotel responses. International Journal of Hospitality Management, 33, 316-330.
    Xu, H., Chen, J., & Whinston, A. B. (2018). Identity management and tradable reputation. Forthcoming in MIS Quarterly, June(0).
    Yang, M., Zheng, Z., & Mookerjee, V. (2019). Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach. Information Systems Research, 30(2), 351-374.
    Yin, D., Bond, S., & Zhang, H. (2014). Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews. Mis Quarterly, 38(2), 539-560.
    Yoo, C. W., Sanders, G. L., & Moon, J. (2013). Exploring the effect of e-WOM participation on e-Loyalty in e-commerce. Decision Support Systems, 55(3), 669-678.
    Zeithaml, V. A., Parasuraman, A., Berry, L. L., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations (1st ed.). USA: Simon and Schuster.
    Zemke, R. (1994). Service Recovery: Mad customers expect treats for their trouble. Executive Excellence, 11(0), 17-17.
    Zhang, P. (2013). The affective response model: A theoretical framework of affective concepts and their relationships in the ICT context. MIS Quarterly(0), 247-274.
    Zhang, T., Agarwal, R., & Lucas Jr, H. C. (2011). The value of IT-enabled retailer learning: personalized product recommendations and customer store loyalty in electronic markets. Mis Quarterly(0), 859-881.
    Zhao, X., Lynch Jr, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197-206.

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