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The Effect of Failure of Online Food Delivery Service Recovery Strategies on Consumer Attitude and Behavioral Intention: Focusing on Justice Theory

온라인 음식 배달 서비스 회복 전략의 실패가 소비자 태도 및 행동 의도에 미치는 영향: 공정성 이론(Justice Theory)을 중심으로

  • Jungkun Park (School of Business, Hanyang University) ;
  • Sangwoo Lee (School of Business, Hanyang University) ;
  • Hyowon Hyun (School of Business, Hanyang University) ;
  • Jihwan Yum (School of Business Administration, Hanyang Cyber University)
  • 박정근 (한양대학교 경영대학) ;
  • 이상우 (한양대학교 경영대학) ;
  • 현효원 (한양대학교 경영대학) ;
  • 염지환 (한양사이버대학교 경영학부)
  • Received : 2023.04.23
  • Accepted : 2023.06.06
  • Published : 2023.06.30

Abstract

This study empirically analyzed the effect of perceived injustice on service recovery measures proposed by online food delivery service (OFDS) companies on consumer disappointment. This study adopted interaction justice, information justice, procedural justice, and distributive justice as sub-variables of justice perception based on the justice theory. In addition, the differences by generation (MZ generation and other generations) were examined in the relationship between negative word-of-mouth behavior and switching intentions due to service recovery failure. An online survey was conducted targeting 250 adult consumers in the U.S for the empirical analysis of this research model. The results of the data analysis demonstrated that negative perceptions about the procedural justice and distributive justice among the service recovery strategies had a positive effect upon the consumer's disappointment. Furthermore, it was confirmed that the consumer's disappointment due to the perceived injustice of the service recovery strategy had a positive effect on the consumer's negative word-of-mouth behavior and switching intentions. The verification results of the moderation effect in the relationship between negative word-of-mouth behavior and switching intention, it was found that the younger the age(MZ generation), the higher the possibility of causing dysfunctional behavior. This study expands the scope of related research by presenting a new perspective on the justice perception in the service recovery process by verifying dysfunctional behavior of consumers caused due to the failure of the service recovery strategy. It is believed that the results of this study will be used as basic data for the establishment of practical strategies for OFDS companies to prevent double defection of their customers.

본 연구에서는 코로나19로 인한 비대면 소비 증가로 크게 성장한 온라인 음식 배달 서비스(Online food delivery service, OFDS)기업에서 제시하는 서비스 회복 방안에 대한 불공정 인식이 소비자의 실망감에 미치는 영향을 실증적으로 분석하였다. 본 연구는 공정성 이론(Justice theory)을 기반으로 하여, 공정성 인식의 하위요인으로 절차의 공정성, 상호작용의 공정성, 정보의 공정성, 분배의 공정성을 채택하였다. 더불어, 서비스 회복 실패에 따른 실망감으로 인한 부정적 구전행동 및 전환의도 간의 관계에서 세대별(MZ세대와 그 외 세대) 차이점을 살펴보았다. 본 연구모델의 실증분석을 위하여 미국 내 성인 소비자 250명을 대상으로 온라인 설문조사를 실시하였고, 분석 결과 서비스 회복 방안 중 절차의 공정성과 분배의 공정성에 대한 부정적 인식이 소비자 실망감에 정(+)의 영향을 미치는 것으로 나타났다. 또한, 서비스 회복 전략에 대한 불공정성 인식으로 인한 소비자의 실망감은 소비자의 부정적 구전행동과 전환 의도에 정(+)의 영향을 미치는 것으로 확인되었다. 본 연구는 서비스 회복 전략의 실패로 인한 소비자의 역기능적 행동(Dysfunctional behavior)을 검증함으로써 서비스 회복과정의 공정성 인식에 관한 새로운 관점을 제시하며 관련 연구의 범위를 확장하였다. 본 연구의 결과는 소비자의 이중 이탈을 방지하기 위한 온라인 음식 배달 서비스 기업의 실무 전략 수립의 기초자료로 활용될 것으로 기대된다.

Keywords

References

  1. Adams, J. S. (1965). Inequity in social exchange. In Advances in experimental social psychology (Vol. 2, 267-299). Academic Press.
  2. Arruda Filho, E.J.M., and Barcelos, A.D.A. (2021). Negative Online Word-of-mouth: Consumers' Retaliation in the Digital World. Journal of Global Marketing, 34(1), 19-37. https://doi.org/10.1080/08911762.2020.1775919
  3. Badawi, B., Hartati, W., and Muslichah, I. (2021). Service recovery process: The effects of distributive and informational justice on satisfaction over complaint handling. The Journal of Asian Finance, Economics and Business, 8(1), 375-383. https://doi.org/10.13106/JAFEB.2021.VOL8.NO1.375
  4. Basso, K., and Pizzutti, C. (2016). Trust recovery following a double deviation. Journal of Service Research, 19(2), 209-223. https://doi.org/10.1177/1094670515625455
  5. Chebat, J.C., and 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. https://doi.org/10.1016/j.jbusres.2003.09.005
  6. Cho, H.J. (2012). The Effects of Trust on Complaining Behavior and Switching Intention. Korean journal of business administration, 25(3), 1379-1397
  7. Cho, S.B. (2009). Influence of Customer's Emotional Responses to Service Recovery in the Context of Service Failure. Journal of korea service management society. 10(1), 23-43
  8. Choi, S., Mattila, A. S., and Bolton, L. E. (2021). To Err is Human (-oid): How do Consumers React to Robot Service Failure and Recovery?. Journal of Service Research, 24(3), 354-371. https://doi.org/10.1177/1094670520978798
  9. Das, S., Mishra, A., and Cyr, D. (2019). Opportunity Gone in a Flash: Measurement of E-commerce Service Failure and Justice with Recovery as a Source of E-loyalty. Decision Support Systems, 125, 113130.
  10. del Rio-Lanza, A. B., Vzquez-Casielles, R., and Diaz-Martn, A. M. (2009). Satisfaction with Service Recovery: Perceived Justice and Emotional Responses. Journal of Business Research, 62(8), 775-781. https://doi.org/10.1016/j.jbusres.2008.09.015
  11. Gannon, M., Taheri, B., Thompson, J., Rahimi, R., and Okumus, B. (2022). Investigating the Effects of Service Recovery Strategies on Consumer Forgiveness and Post-trust in the Food Delivery Sector. International Journal of Hospitality Management, 107, 103341.
  12. George, D., and Mallery, P. (2021). IBM SPSS statistics 27 step by step: A simple guide and reference. Routledge.
  13. Gohary, A., Hamzelu, B., and Alizadeh, H. (2016). Please Explain Why it Happened! How Perceived Justice and Customer Involvement Affect Post Co-recovery Evaluations: A Study of Iranian Online Shoppers. Journal of Retailing and Consumer Services, 31, 127-142. https://doi.org/10.1016/j.jretconser.2016.03.013
  14. Goodwin, C., and Ross, I. (1992). Consumer Responses to Service Failures: Influence of Procedural and Interactional Fairness Perceptions. Journal of Business research, 25(2), 149-163. https://doi.org/10.1016/0148-2963(92)90014-3
  15. Ha, J., and Jang, S.S. (2009). Perceived Justice in Service Recovery and Behavioral Intentions: The Role of Relationship Quality. International Journal of Hospitality Management, 28(3), 319-327. https://doi.org/10.1016/j.ijhm.2008.12.001
  16. Han, S.L., and An, M.A. (2016). Service Justice and Mediating Effect of Service Authenticity in Service Recovery Situation. Journal of consumption culture, 19(1), 49-73 https://doi.org/10.17053/JCC.2016.19.1.003
  17. Huang, R., and Ha, S. (2020). The Effects of Warmth-oriented and Competence-oriented Service Recovery Messages on Observers on Online Platforms. Journal of Business Research, 121, 616-627. https://doi.org/10.1016/j.jbusres.2020.04.034
  18. Hwang, J., Lee, J. S., and Kim, H. (2019). Perceived Innovativeness of Drone Food Delivery Services and its Impacts on Attitude and Behavioral Intentions: The Moderating Role of Gender and Age. International Journal of Hospitality Management, 81, 94-103. https://doi.org/10.1016/j.ijhm.2019.03.002
  19. Jang, Y. J., Cho, S. B., and Kim, W. G. (2013). Effect of Restaurant Patrons' Regret and Disappointment on Dissatisfaction and Behavioral Intention. Journal of Travel & Tourism Marketing, 30(5), 431-444. https://doi.org/10.1080/10548408.2013.803388
  20. Jeuring, J. H. G., and Haartsen, T. (2017). Destination Branding by Residents: The Role of Perceived Responsibility in Positive and Negative Word-of-mouth. Tourism Planning & Development, 14(2), 240-259. https://doi.org/10.1080/21568316.2016.1214171
  21. Jo, M.N. (2020). Integrating SERVQUAL and Kano's Model into Quality Function Deployment for Delivery Application Service Excellence Development. Journal of tourism sciences, 44(4), 103-121 https://doi.org/10.17086/JTS.2020.44.4.103.121
  22. Kang, J.S. (2019). The Effects of Service Recovery Justice on Relationship Benefit and Long-term Relationship Intention in Sports Club. The Korean Journal of Sport, 17(1), 215-225
  23. Kaur, P., Talwar, S., Islam, N., Salo, J., and Dhir, A. (2022). The Effect of the Valence of Forgiveness to Service Recovery Strategies and Service Outcomes in Food Delivery Apps. Journal of Business Research, 147, 142-157. https://doi.org/10.1016/j.jbusres.2022.04.020
  24. Khatoon, S., and Rehman, V. (2021). Negative Emotions in Consumer Brand Relationship: A Review and Future Research Agenda. International Journal of Consumer Studies, 45(4), 719-749. https://doi.org/10.1111/ijcs.12665
  25. Kim, D.Y., and Yoo, H.S. (2021). A Comparative Study of User Experience According to One-Person Media Virtual YouTuber (VTuber) and General YouTuber. Asia-Pacific Journal of Convergent Research Interchange, 7(5), 1-10. https://doi.org/10.47116/apjcri.2021.05.01
  26. Kim, J.M., and Kim, J.Y., (2019). The Effects of Disappointment on Switching Intention and Word-of-Mouth Intention on Mobile Portal Service Usage : using Value-based Adoption Model. The Journal of Internet Electronic Commerce Research, 19(1), 115-128. https://doi.org/10.37272/JIECR.2019.02.19.1.115
  27. Kim, J.G. (2021). RMR(Restaurant Meal Replacement): Product Attributes, Consumption Value and Purchasing Intentions the Moderating Effects of MZ Generation and X Generation. Culinary Science & Hospitality Research, 27(8), 97-110.
  28. Kim, K.J. (2019). The impact of service recovery fairness on relationship quality and customer engagement of hotel buffet restaurant customers. International Journal of Tourism and Hospitality Research, 33(11), 19-31.
  29. Kim, N.M., and Im, K.S. (2011). Cross-Cultural Differences in Justice Perceptions for Service Recovery. Korean Journal of Marketing, 26(1), 73-98.
  30. Kim, S.H. (2014). Is Service Recovery Made with Customers' Head? with the Heart?: A Comparison of Relative Influence between Justice vs Authenticity. Korean management Review, 43(1), 1-39.
  31. La, S., and Choi, B. (2019). Perceived Justice and CSR after Service Recovery. Journal of Services Marketing, 33(2), 206-219. https://doi.org/10.1108/JSM-10-2017-0342
  32. La, S.A. (2012). Why Customers Stay or Defect after Recovery of Failure: Focusing on the Comparison between Double Deviation vs. Recovery Paradox. Journal of consumer studies. 23(4), 221-259.
  33. Lee, B., and Yeon, P. (2021). An EDA Analysis of Seoul Metropolitan Area's Mountain Usage Patterns of Users in Their 20 30 s after COVID-19 Occurrence. J. People Plants Environ, 24, 229-244. https://doi.org/10.11628/ksppe.2021.24.2.229
  34. Lee, E. J., and Park, J. (2010). Service Failures in Online Double Deviation Scenarios: Justice Theory Approach. Managing Service Quality: An International Journal, 20(1), 46-69. https://doi.org/10.1108/09604521011011621
  35. Lee, H.S., and Kim, J.H. (2021). Analysis of Food Consumption Behavior due to COVID-19 : Focusing on MZ Generation. Journal of digital convergence, 19(3), 47-54 https://doi.org/10.14400/JDC.2021.19.3.047
  36. Lee, J. S., Kim, J., Hwang, J., and Cui, Y. G. (2021). Does love become hate or forgiveness after a double deviation? The case of hotel loyalty program members. Tourism Management, 84, 104279.
  37. Lee, J.W., and Kim, M.Y. (2022). A Comparison of the Types and Characteristics of the Purchase Channel Journey of Fashion Products in the MZ Generation. The research journal of the Costume Culture, 30(5), 656-674 https://doi.org/10.29049/rjcc.2022.30.5.656
  38. Lee, S.Y., and Kim, S.B. (2019). The Boomerang Effect of Influencer Marketing : How the Interaction Between Influencer Type and Social Distance Affects Negative Word of Mouth Intentions. Korean journal of business administration, 32(11), 2005-2028. https://doi.org/10.18032/kaaba.2019.32.11.2005
  39. Lin, W.C., Lu, T.E., and Peng, M.Y. (2021). Service Failure Recovery on Customer Recovery Satisfaction for Airline Industry: The Moderator of Brand Authenticity and Perceived Authenticity. Managerial and Decision Economics, 42(5), 1079-1088. https://doi.org/10.1002/mde.3292
  40. Loo, P.T., and Leung, R. (2018). A Service Failure Framework of Hotels in Taiwan: Adaptation of 7Ps Marketing Mix Elements. Journal of vacation marketing, 24(1), 79-100. https://doi.org/10.1177/1356766716682555
  41. Loureiro, S.M.C., and Roschk, H. (2014). Differential Effects of Atmospheric Cues on Emotions and Loyalty Intention with Respect to Age under Online/offline Environment. Journal of Retailing and Consumer Services, 21(2), 211-219. https://doi.org/10.1016/j.jretconser.2013.09.001
  42. Migacz, S. J., Zou, S., and Petrick, J. F. (2018). The "terminal" Effects of Service Failure on Airlines: Examining Service Recovery with Justice Theory. Journal of Travel Research, 57(1), 83-98. https://doi.org/10.1177/0047287516684979
  43. Miller, J. L., Craighead, C. W., and Karwan, K. R. (2000). Service Recovery: a Framework and Empirical Investigation. Journal of operations Management, 18(4), 387-400. https://doi.org/10.1016/S0272-6963(00)00032-2
  44. Mirani, W., Heydarzadeh, K., and Bemani Moghadam, M. (2019). The Effect of Service Recovery on Customers' Secondary Satisfaction in Banking Industry by Considering the Roles of Emotions. Journal of System Management, 5(3), 49-68.
  45. Moliner-Velazquez, B., Ruiz-Molina, M. E., and Fayos-Gardo, T. (2015). Satisfaction with Service Recovery: Moderating Effect of Age in Word-of-mouth. Journal of Consumer Marketing, 32(6), 470-484. https://doi.org/10.1108/JCM-12-2014-1251
  46. National assembly research service. (2022). Current Status of the Food Delivery Industry and Issues According to the Income System of Delivery riders 1935, 41, 100980.
  47. Nikbin, D., Marimuthu, M., and Hyun, S. S. (2016). Influence of Perceived Service Fairness on Relationship Quality and Switching Intention: An Empirical Study of Restaurant Experiences. Current Issues in Tourism, Vol.19, No.10, 1005-1026. https://doi.org/10.1080/13683500.2013.801407
  48. Ozgen, O., and Duman Kurt, S. (2012). Pre-recovery and Post-recovery Emotions in the Service Context: a Preliminary Study. Managing Service Quality: An International Journal, Vol.22, No.6, 592-605.
  49. Park HoJung., and Ha JeaMan., (2020). The Effect of Service Recovery Justice Perception on Emotional Response and Loyalty in the Restaurants. Journal of Tourism and Hospitality Research, Vol.34, No.1, 189-202.
  50. Rather, R. A., and Hollebeek, L. D. (2021). Customers' Service-related Eengagement, Experience, and Behavioral Intent: Moderating Role of Age. Journal of Retailing and Consumer Services, Vol.60, 102453.
  51. Roberson, Q. M., and Stewart, M. M. (2006). Understanding the Motivational Effects of Procedural and Informational Justice in Feedback Processes. British journal of Psychology, Vol.97, No.3, 281-298. https://doi.org/10.1348/000712605X80146
  52. Rozin, P., and Royzman, E. B. (2001). Negativity Bias, Negativity Dominance, and Contagion. Personality and social psychology review, Vol.5, No.4, 296-320. https://doi.org/10.1207/S15327957PSPR0504_2
  53. RV, S., and Varshney, S. (2022). Investigating Combined Effect of WOM and eWOM: Role of Message Valence. Journal of Consumer Marketing, Vol.39, No.2, 180-190. https://doi.org/10.1108/JCM-08-2020-4047
  54. Seo, M.J. (2022). Consumers' Negative Responses to the Communication Failure of Chatbots in Online Fashion Shopping Malls. Fashion & Textile Research Journal, Vol.24, No.2, 182-193.
  55. Shin, Y.S. (2019). A Study on Impacts of Service Failure Severity on Perceived Service Recovery Justice, Recovery Satisfaction and Repatronage Intention: Focus on Moderate Effect of Regulatory Focus. Journal of korea service management society, Vol.20, No.3, 49-76. https://doi.org/10.15706/jksms.2019.20.3.003
  56. Smith, A. K., Bolton, R. N., and Wagner, J. (1999). A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery. Journal of marketing research, Vol.36, No.3, 356-372.
  57. Sung, C.H., and Hur, J. (2016). The Effect of Service Recovery Justice of Golf Clubs on Customer Satisfaction, Switching Barrier and Loyalty. The Korean Society of Sports Science, Vol.25, No.4, 543-557.
  58. Tan, T. M., Balaji, M. S., Oikarinen, E. L., Alatalo, S., and Salo, J. (2021). Recover from a Service Failure: The Differential Effects of Brand Betrayal and Brand Disappointment on an Exclusive Brand Offering. Journal of Business Research, Vol.123, 126-139. https://doi.org/10.1016/j.jbusres.2020.09.056
  59. Trianasari, N., Butcher, K., and Sparks, B. (2018). Understanding Guest Tolerance and the Role of Cultural Familiarity in Hotel Service Failures. Journal of Hospitality Marketing & Management, Vol.27, No.1, 21-40. https://doi.org/10.1080/19368623.2017.1329677
  60. Wen, B., and Geng-qing Chi, C. (2013). Examine the Cognitive and Affective Antecedents to Service Recovery Satisfaction: A Field Study of Delayed Airline Passengers. International Journal of Contemporary Hospitality Management, Vol.25, No.3, 306-327. https://doi.org/10.1108/09596111311310991
  61. Yang, J.Y., and Sun, J.G. (2022) Astudy on the Effect of Food Delivery Platformservice Quality and Health Perception Perceived by University Students in the COVID-19 Environment. Journal of Hospitality & Tourism Studies, Vol.24, No.6, 109-121. https://doi.org/10.31667/jhts.2022.12.95.109
  62. Yang, S.J., and Cho, Y.B. (2019). The Effect of Severity of Service Failure in Advanced Korean Restaurants on Customer Behavior Intention: Focused on the Moderating Effect of the Service Authenticity. Culinary science & hospitality research, Vol.25, No.6 121-130. https://doi.org/10.20878/cshr.2019.25.6.012
  63. Yoon, D.Y., and Lee Y.R. (2021). Conversational AI Voice Shopping Service: MZ Generation vs. Baby Boom Generation. Journal of consumer studies, Vol.32, No.3, 73-93. https://doi.org/10.35736/JCS.32.3.4
  64. Zhao, Y., Ni, Q., and Zhou, R. (2018). What Factors Influence the Mobile Health Service Adoption? A Meta-analysis and the Moderating Role of Age. International Journal of Information Management, Vol.43, 342-350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006