The effect of causal attribution on a service failure model
Main Article Content
Abstract
Service recovery has been extensively studied and is a relevant issue for markets in which consumers repurchase products or services. There are two normative aspects of service recovery: how a company should act after a service failure and the consequences of the service failure regarding the company-customer relationship. This study presents a service failure model that combines these two aspects, investigating how causal attribution affects the customer’s perception regarding repurchase when a solution is provided after a service failure. A survey was conducted with users of a telecommunications service provider in Brazil,
exploring two situations: a) the customer accidentally caused a service failure, and b) the company caused a service failure. The item response theory (IRT) was used, adopting PLS-SEM. Trust level and switching barriers were highlighted as important factors to keep repurchasing intentions positive. Customers trust more in the company when the failure is attributed to the organization, and it solves the problem, which induces a higher repurchase intention than when the failure is attributed to the customer.
Downloads
Metrics
Article Details
A RAE compromete-se a contribuir com a proteção dos direitos intelectuais do autor. Nesse sentido:
- adota a licença Creative Commoms BY (CC-BY) em todos os textos que publica, exceto quando houver indicação de específicos detentores dos direitos autorais e patrimoniais;
- adota software de detecção de similaridades;
- adota ações de combate ao plagio e má conduta ética, alinhada às diretrizes do Committee on Publication Ethics (COPE)
References
Azemi, Y., Ozuem, W., Howell, K. E., & Lancaster, G. (2019). An exploration into the practice of online service failure and recovery strategies in the Balkans. Journal of Business Research, 94, 420-431. doi: 10.1016/j.jbusres.2018.08.035
Baker, M. A., & Kim, K. (2018). Other customer service failures: emotions, impacts, and attributions. Journal of Hospitality & Tourism Research, 42(7), 1067-1085. doi: 10.1177/1096348016671394
Baumann, O., & Mattingley, J. B. (2012). Functional topography of primary emotion processing in the human cerebellum. NeuroImage, 61(4), 805-811. doi: 10.1016/j.neuroimage.2012.03.044
Bazán, J. L., Mazzon, J. A., & Hernani-Merino, M. (2011). Classificação de modelos de resposta ao item policotômicos com aplicação ao marketing. Revista Brasileira de Estatistica, 72(235), 7-40. Retrieved from https://biblat.unam.mx/es/revista/revista-brasileira-de-estatistica/articulo/classificacao-de-modelos-de-resposta-ao-item-policotomicos-com-aplicacao-ao-marketing
Belén, A. B., Vázquez-Casielles, R., & Díaz-Martín, A. M. (2009). Satisfaction with service recovery: Perceived justice and emotional responses. Journal of Business Research, 62, 775-781. doi: 10.1016/j.jbusres.2008.09.015
Bougie, R., Pieters, R., & Zeelenberg, M. (2003). Angry customers don’t come back, they get back: The experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393. doi: 10.1177/0092070303254412
Colgate, M., & Lang, B. (2001). Switching barriers in consumer markets: An investigation of the financial services industry. Journal of Consumer Marketing, 18(4), 332-347. doi: 10.1108/07363760110393001
Depaoli, S., Tiemensma, J., & Felt, J. M. (2018). Assessment of health surveys: Fitting a multidimensional graded response model. Psychology, Health & Medicine, 23(1), 1299-1317. doi: 10.1080/13548506.2018.1447136
Departamento Estadual de Proteção e Defesa do Consumidor. (2021). Coordenadoria de Defesa do Consumidor – Procon paulistano. Disponível em: https://sistemas.procon.sp.gov.br/ rank_estadual/Ranking_50_mais_%20jan_ago_2021.pdf
DeWitt, T., Nguyen, D. T., & Marshall, R. (2008). Exploring customer loyalty following service recovery: The mediating effects of trust and emotions. Journal of Service Research, 10(3), 269-281. doi: 10.1177/1094670507310767
Elliott, R., & Yannopoulou, N. (2007). The nature of trust in brands: A psychosocial model. European Journal of Marketing, 41(9/10), 988-998. doi: 10.1108/03090560710773309
Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. New Jersey, USA: Psychology Press.
Folkes, V. S., Koletsky, S., Graham, J. L. (1987). A field study of causal inferences and consumer reaction: The view from the airport. Journal of Consumer Research, 13(4), 534-539. doi: 10.1086/209086
Fouroudi, P., Kitchen, P. J., Marvi, R., Akarsu, T. N., & Uddin, H. (2020). A bibliometric investigation of service failure literature and a research agenda. European Journal of Marketing, 54(10), 2575-2619. doi: 10.1108/EJM-07-2019-0588
Funches, V. (2011). The consumer anger phenomena: Causes and consequences. Journal of Services Marketing, 25(6), 420-428. doi: 10.1108/08876041111161014
Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-products and e-services. Omega, 32(6), 407-424. doi: 10.1016/j.omega.2004.01.006
Gelbrich, K., & Roschk, H. (2010). A meta-analysis of organizational complaint handling and customer responses. Journal of Service Research, 14(1), 24-43. doi: 10.1177/1094670510387914
Hazée, S., Vaerenbergh, Y. Van, & Armirotto, V. (2017). Co-creating service recovery after service failure: The role of brand equity. Journal of Business Research, 74, 101-109. doi: 10.1016/j.jbusres.2017.01.014
Hernani-Merino, M. N., Isabella, G., Vargas, E. G. T., & Mazzon, J. A. (2020). Recovery satisfaction construct and construct-related: Assessment measurement from item response theory. Journal of Business, 11(1), 2-13. doi: 10.21678/jb.2019.1137
Hwang, Y., Gao, L., & Mattila, A. S. (2020). What recovery options to offer for loyalty reward program members: Dollars vs. miles?. International Journal of Hospitality Management, 87, 102496. doi: 10.1016/j.ijhm.2020.102496
Isabella, G. (2015). Hedonic and utilitarian purchases and construal level theory in the perception of justice and price fairness: behavioral and physiological perspectives (Doctoral thesis, Faculdade de Economia, Administração e Contabilidade, University of São Paulo, São Paulo).
Isabella, G., Mazzon, J. A., & Dimoka, A. (2017). Impacts of product type and representation type on the perception of justice and price fairness. Journal of Business Research, 81, 203-211. doi: 10.1016/j.jbusres.2016.10.031
Jerger, C., & Wirtz, J. (2017). Service employee responses to angry customer complaints: The roles of customer status and service climate. Journal of Service Research, 20(4), 362-378. doi:10.1177/1094670517728339
Joireman, J., Grégoire, Y., Devezer, B., & Tripp, T. M. (2013). When do customers offer firms a “second chance” following a double deviation? The impact of inferred firm motives on customer revenge and reconciliation. Journal of Retailing, 89(3), 315-337. doi:10.1016/j.jretai.2013.03.002
Jones, M. A, Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76(2), 259-274. doi: 10.1016/S0022-4359(00)00024-5
Jong, M. G. De, & Steenkamp, J.-B. (2010). Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research. Psychometrika, 75(1), 3-32. doi: 10.1007/s11336-009-9134-z
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. doi: 10.1016/j.jretconser.2017.01.012
Kelley, H. H. (1973). The processes of causal attribution. American Psychologist, 28(2), 107. doi: 10.1037/h0034225
Konuk, F. A. (2013). The role of perceived justice in building brand trust. International Journal of Marketing Studies, 5(2), 154-164. doi: 10.5539/ijms.v5n2p154
Kuo, Y.-F., & Wu, C.-M. (2012). Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions. International Journal of Information Management, 32(2), 127-138. doi: 10.1016/j.ijinfomgt.2011.09.001
Kuo, Y.-F., Wu, C.-M., & Deng, W.-J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887-896. doi: 10.1016/j.chb.2009.03.003
Lazarus, R. S. (1991). Progress on a cognitive-motivational-relational theory of emotion. The American Psychologist, 46(8), 819-834. doi: 10.1037/0003-066x.46.8.819
Lucas, T. (2009). Justifying outcomes versus processes: Distributive and procedural justice beliefs as predictors of positive and negative affectivity. Current Psychology, 28(4), 249-265. doi:10.1007/s12144-009-9066-x
Mattila, A. S., & Ro, H. (2008). Discrete negative emotions and customer dissatisfaction responses in a casual restaurant setting. Journal of Hospitality & Tourism Research, 32(1), 89-107. doi:10.1177/1096348007309570
McColl-Kennedy, J. R., Sparks, B. A., & Nguyen, D. T. (2011). Customer’s angry voice: Targeting employees or the organization? Journal of Business Research, 64(7), 707-713. doi:10.1016/j.jbusres.2010.08.0
McCollough, M. A., Berry, L. L., & Yadav, M. S. (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of Service Research, 3(2), 121-137. doi:10.1177/109467050032002
Michel, S. (2001). Analyzing service failures and recoveries: A process approach. International Journal of Service Industry Management, 12(1), 20-33. doi:10.1108/09564230110382754
Nikbin, D., Ismail, I., Marimuthu, M., & Armesh, H. (2012). Perceived justice in service recovery and switching intention. Management Research Review, 35(3/4), 309-325. doi:10.1108/01409171211210181
Odoom, R., Agbemabiese, G. C., & Hinson, R. E. (2020). Service recovery satisfaction in offline and online experiences. Marketing Intelligence & Planning, 38(1), 1-14. doi:10.1108/mip-09-2018-0422
Patterson, P. G., & Smith, T. (2003). A cross-cultural study of switching barriers and propensity to stay with service providers. Journal of Retailing, 79(2), 107-120. doi:10.1016/s0022-4359(03)00009-5
Pham, M. T. (2007). Emotion and rationality: A critical review and interpretation of empirical evidence. Review of General Psychology, 11(2), 155-178. doi:10.1037/1089-2680.11.2.155
Pick, D., & Eisend, M. (2013). Buyers’ perceived switching costs and switching: A meta-analytic assessment of their antecedents. Journal of the Academy of Marketing Science, 42(2), 186-204. doi:10.1007/s11747-013-0349-2
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrica Monograph, 17, 1-100. doi:10.1002/j.2333-8504.1968.tb00153.x
Santos, J. B., Hernandez, J. M., & Leão, W. (2019). Do recovery processes need empowered frontline employees?. International Journal of Operations & Production Management, 39(11), 1260-1279. doi:10.1108/ijopm-12-2018-0745
Schoefer, K., & Diamantopoulos, A. (2008). The role of emotions in translating perceptions of (in)justice into postcomplaint behavioral responses. Journal of Service Research, 11(1), 91-103. doi:10.1177/1094670508319091
Schoefer, K., & Ennew, C. (2005). The impact of perceived justice on consumers’ emotional responses to service complaint experiences. Journal of Services Marketing, 19(5), 261-270. doi:10.1108/08876040510609880
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. doi:10.2307/3152082
Sparks, B., & Fredline, L. (2007). Providing an explanation for service failure: Context, content, and customer responses. Journal of Hospitality & Tourism Research, 31(2), 241-260. doi:10.1177/1096348006297292
Srivastava, M., & Gosain, A. (2020). Impact of service failure attributions on dissatisfaction: Revisiting attribution theory. Journal of Management Research, 20(2), 99-112. Retrieved from https://indianjournals.com/ijor.aspx?target=ijor:jmr&volume=20&issue=2&article=003
Strizhakova, Y., Tsarenko, Y., & Ruth, J. A. (2012). “I’m mad and I can't get that service failure off my mind”: Coping and rumination as mediators of anger effects on customer intentions. Journal of Service Research, 15(4), 414-429. doi:10.1177/1094670512443999
Swanson S. R., & Hsu, M. K. (2011) The effect of recovery locus attributions and service failure severity on word-of-mouth and repurchase behaviors in the hospitality industry. Journal of Hospitality & Tourism Research, 35(4), 511-529. doi:10.1177/1096348010382237
Vaerenbergh, Y. Van, Larivière, B., & Vermeir, I. (2012). The impact of process recovery communication on customer satisfaction, repurchase intentions, and word-of-mouth intentions. Journal of Service Research, 15(3), 262-279. doi:10.1177/1094670512442786
Valentini, S., Orsingher, C., & Polyakova, A. (2020). Customers’ emotions in service failure and recovery: A meta-analysis. Marketing Letters, 31(2), 199-216. doi:10.1007/s11002-020-09517-9
Weiner, B. (1980). A cognitive (attribution)-emotion-action model of motivated behavior: An analysis of judgments of help-giving. Journal of Personality and Social Psychology, 39(2), 186-200. doi:10.1037/0022-3514.39.2.186
Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548-573. doi:10.1037/0033-295x.92.4.548