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Research on satisfaction recovery from service failure due to attitude defect and unfair price: A dynamic and longitudinal evaluation model based on customer win-back management
Frontiers of Business Research in China volume 4, pages 380–408 (2010)
Abstract
Customer win-back is a cognitive process of satisfaction changing from a low level to a high level with service recovery strategies as the stimulus. Because prior research tends to view service recovery strategies as a static antecedent, it is difficult to analyze and observe how the recovery strategies affect satisfaction and repurchase intention dynamically. Moreover, not enough attention has been directed to the relationship between reasons of customer loss and recovery strategies. This research conducted a field experiment involving a 2 × 2 between-subjects design (defects of service attitude and unfair price × tangible recovery and intangible recovery strategies). From a longitudinal and dynamic perspective, this study has produced the following key results: First, there are significant differences in satisfaction and purchase intention between the four groups categorized by specific reasons of customer loss. Second, recovery strategies may have non-linear effects on customer’s satisfaction. Lastly, based on the prospect theory and disappointment theory, we discuss important managerial implications of the function curves fitted between customer satisfactory (before customer loss and after implementation of customer winback strategy) and purchase intention.
References
Anderson E W, Sullivan M W (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12: 125–143
Anderson E W, Fornell C, Lehmann D R (1994). Customer satisfaction, market share and profitability: Findings from Sweden. Journal of Marketing Research, 58: 53–66
Anderson J A (1973). A theory for the recognition of items from short memorized lists. Psychological Review, 80: 417–438
Andreassen T W (2001). From disgust to delight: Do customers hold a grudge? Journal of Service Research, 4(1): 39–49
Babu P G, Pradeep S, Purva G H (2007). Service: The development of a preliminary instrument to measure service recovery satisfaction in tourism. International Journal of Hospitality & Tourism Administration, 8(1): 21–42
Baker J, Parasuraman A, Grewal D, Voss G B (2002). The influence of multiple store environment cues on perceived merchandise value and patronage. Journal of Marketing, 66: 120–141
Brandr R (1997). Satisfaction studies must measure what the customer wants and expects. Marketing News, 31(22): 17–18
Chang H S, Hsiao H L (2008). Examining the casual relationship among service recovery, perceived justice, perceived risk, and customer value in the hotel industry. The Service Industries Journal, 28(4): 513–528
Dodson J A, Tybout A, Sternthal B (1978). Impact of deals and deal retraction on brand switching. Journal of Marketing Research, 15: 72–81
Gilly M C (1987). Post complaint processes: From organizational response to repurchase behavior. Journal of Consumer Affairs, 21(2): 293–313
Goodwin C, Ross I (1992). Consumer responses to service failures: Influence of procedural and international fairness perceptions. Journal of Business Research, 25: 149–163
Griffin J, Lowenstein M W (2001). Customer Winback: How to Recapture Lost Customers and Keep Them Loyal. San Francisco: Jossey-Bass
Gustafsson A, Johnson M D, Roos I (2005). The effects of customer satisfaction, relationship commitment dimensions and triggers on customer retention. Journal of Marketing, 69(4): 87–98
Hart C, Heskett J, Sasser E J (1990). The Service Management Course. NY: Free Press
Higgins E T (2000). Making a good decision: Value from fit. American Psychologist, 55: 1217–1230
Hoffman K D, Kelley S W, Rotalsky H M (1995). Tracking service failures and employee recovery efforts. Journal of Services Marketing, 9(2): 49–61
Homburg C, Koschate N, Hoyer W D (2005). Do satisfied customers really pay more? A study of the relationship between customer satisfaction and willingness to pay. Journal of Marketing, 69: 84–96
Jones T O, Sasser W E (1995). Why satisfied customers defect. Harvard Business Review, 73(6): 88–97
Kahneman T (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2): 263–291
Keaveney S M (1995). Customer switching behavior in service industries: An exploratory study. Journal of Marketing Management, 59(4): 71–81
La Barbera P A, Mazursky D (1983). A longitudinal assessment of consumer satisfaction/dissatisfaction: The dynamic aspect of the cognitive process. Journal of Marketing Research, 20: 393–404
Larsen S, Bastiansen T (1991). Service attitude in hotel and restaurant staff and nurses. International Journal of Contemporary Hospitality Management, 4(2): 27–31
Levesque T J, McDougall G H (2000). Service problems and recovery strategies: An experiment. Canadian Journal of Administrative Sciences, 17: 20–37
Loomes G, Sugden R (1982). Regret theory: An alternative theory of rational choice under uncertainty. Economic Journal, 92: 5–24
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
Maxham III J G, Netemeyer R G (2002a). A longitudinal study of complaining customers’ evaluations on multiple service failures and recovery efforts. Journal of Marketing, 66: 57–71
Maxham III J G, Netemeyer R G (2002b). Modeling customer perceptions of complaint handling over time: The effects of perceived justice on satisfaction and intent. Journal of Retailing, 78: 239–252
McCollough M A, Rerry L L (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of Service Research, 3(2): 121–138
Michel S (2001). Analyzing service failures and recoveries: A process approach. International Journal of Service Industry Management, 12(1): 20–33
Mittal V, Ross W T, Baldasare P M (1998). The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions. Journal of Marketing, 62: 33–47
Oliver R L (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4): 460–469
Oliva T A, Oliver R L, MacMillan I C A (1992). Catastrophe retention: An empirical investigation. Journal of Service Research, 1(2): 108–128
Parasuraman A, Berry L L, Zeithaml V A (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 70: 201–229
Parasuraman A, Zeithaml V A, Berry L L (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49: 41–50
Patterson P G, Johnson L W, Spreng R A (1997). Modeling the determinants of customer satisfaction for business-to-business professional services. Journal of the Academy of Marketing Science, 25: 4–17
Ping R (1995). Some uninvestigated antecedents of retailer exit intention. Journal of Business Research, 34(3): 171–180
Reichheld F R (1995). Satisfied customers come back for more. American Banker, 160 (November): 13–14
Schoefer K (2008). The role of cognition and affect in the formation of customer satisfaction judgments concerning service recovery encounters. Journal of Consumer Behaviour, (May–June): 210–221
Smith A K, Bolton R N, Wagner J (1999). A model of customer satisfaction with service encounters involving failure and recovery. Journal of Marketing Research, 36(3): 356–372
Tähtinen J, Halinen-Kaila A (1997). The death of business triads: The dissolution process of a net of companies. The 13th IMP Conference, Lyon, France.
Tax S S, Brown S W, Chandrashekar M (1998). Customer evaluations of service complaint experiences: Implications for relationship marketing. Journal of Marketing, 62: 60–76
Thomas J S, Blattberg R C, Fox E J (2004). Recapturing lost customers. Journal of Marketing Research, 41(1): 31–45
Tokman M, Davis L M, Lemon K N (2007). The WOW factor: Creating value through win-back offers to reacquire lost customers. Journal of Retailing, 83(1): 47–64
Tse D K, Wilton P C (1988). Model of consumer satisfaction formation: An extension. Journal of Marketing Research, 25(5): 204–212
Xia L, Monroe K, Cox J (2004). The price is unfair! A conceptual framework of price fairness perceptions. Journal of Marketing, 68: 1–15
Zeithaml V A, Berry L L, Parasuraman A (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2): 31–46
符 国群, 冯 冈平, 俞 文皎 (Fu Guoqun, Feng Gangping, Yu Wenjiao) (2005). 顾客转换服务商原因分析: 来自北京和广州的调查 (Analysis of causes for customer switching behavior: Investigation from Beijing and Guangzhou). 营销科学学报, (1): 15–26
胡 左浩, 杨 志林 (Hu Zuohao, Yang Zhilin) (2006). 在线服务满意的决定要素及其满意对后续行为的影响研究 (Determinants of online service satisfaction and its influence on subsequent behaviors). 营销科学学报, (2): 32–41
唐 小飞, 贾 建民, 周 庭锐 (Tang Xiaofei, Jia Jianmin, Zhou Tingrui) (2007). 关系投资和价格促销的价值比较研究 (Study on value comparison between relationship investment and price promotion). 맜理世界, (5): 73–83
唐 小飞, 周 庭锐, 陈 淑青 (Tang Xiaofei, Zhou Tingrui, Chen Shuqing) (2006). 价格促销与D&B 的价值比较研究 (A relevance empirical study on price promotion and D&B loyalty pattern). 中国工业经济, (10): 121–128
郑 秋莹, 范 秀成 (Zheng Qiuying, Fan Xiucheng) (2007). 网上零售业服务补救策略研究—基于公平理论和期望理论的探讨 (Study on service recovery in online retail industry: Discussion based on equity theory and expectation theory). 맜理评论, (10): 17–23
郑 绍成 (Zheng Shaocheng) (2002). 服务补救满意构面之探索性研究 (An exploratory research of satisfaction level in service recovery). 맜理评论, (3): 49–68
张 全成, 周 庭锐, 袁 丽娟 (Zhang Quancheng, Zhou Tingrui, Yuan Lijuan) (2008). 基于顾客开发视角的顾客满意与消费行为关联研究 (Research on the link between customer satisfaction and customer behavior: A new customer management perspective). 预测, (4): 25–30
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Translated from Guanli Shijie 管理世界 (Management World), 2009, (5): 107–118
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Tang, X., Jia, J., Zhou, T. et al. Research on satisfaction recovery from service failure due to attitude defect and unfair price: A dynamic and longitudinal evaluation model based on customer win-back management. Front. Bus. Res. China 4, 380–408 (2010). https://doi.org/10.1007/s11782-010-0103-2
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DOI: https://doi.org/10.1007/s11782-010-0103-2