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Understanding the co-creation effect: when does collaborating with customers provide a lift to service recovery?

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Abstract

Because co-creation allows customers to help shape or personalize the content of their experience, it can affect customer satisfaction with recovery efforts, as well as offer a more cost-effective alternative to compensation. This article identifies specific situations in which co-creation is and is not useful. Study 1 tests the impact of co-creation in comparison with compensation for enhancing satisfaction with the recovery process and demonstrates that co-creation offers a cost-efficient strategy for companies when customers must deal with severe delays. Study 2 extends these results by showing that the impact extends to repurchase intentions. Study 3 details conditions in which co-creation harms evaluations. Finally, Study 4 explores whether it is necessary for the company to meet the customer’s requests when co-creating a recovery, as well as what happens when the company exceeds a customer’s requests. The article concludes with a discussion of the theoretical and managerial implications, limitations, and research directions that emerge from the studies.

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Notes

  1. Although the sample size is relatively small, recent evidence shows that the convergence and accuracy of confirmatory factor analysis solutions are affected by the quality of the latent variable indicators rather than by the sample size or observations per free parameter (Guadagnoli and Velicer 1988; Marsh et al. 1998).

  2. Recent evidence (Chen et al. 2008) suggests using multiple indicators of model fit and claims that the arbitrary cut-off point of .05 for RMSEA rejects too many valid models with small sample sizes (n = 100); it performs better with larger samples (but accepts too many when n > 800).

  3. Post-hoc power analysis for interaction justice indicates low power (.35). Thus, the non-significant results are more likely due to the test being underpowered for a small effect at the .10 level (Cohen 1992).

  4. Mediation tests for the individual justice measures are available via web appendix. We find full mediation for all justice measures.

  5. Here, ab represents the indirect effects of the independent variable on the dependent variable through the mediator, c represents the direct effect of the independent variable on the dependent variable, and c’ represents the total effect of the independent variable on the dependent variable.

  6. Post-hoc power analysis for interaction justice indicates low power (.45). Thus, the non-significant results are more likely due to the test being underpowered for a small effect at the .10 level (Cohen 1992).

  7. Mediation tests for the individual justice measures are available via web appendix. We find full mediation for all justice measures.

References

  • Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in experimental social psychology, Vol. 2 (pp. 267–299). New York: Academic Press.

    Google Scholar 

  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-stop approach. Psychological Bulletin, 103(3), 411–25.

    Article  Google Scholar 

  • Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458.

    Article  Google Scholar 

  • Bendapudi, N., & Leone, R. P. (2003). Psychological implications of customer participation in co-production. Journal of Marketing, 67, 14–28.

    Article  Google Scholar 

  • Bies, R. J., & Moag, J. S. (1986). Interactional justice: Communication criteria of fairness. In R. J. Lewicki, B. H. Sheppard, & M. H. Bazerman (Eds.), Research on negotiations in organizations, Vol. 1 (pp. 43–55). Greenwich: JAI Press.

    Google Scholar 

  • Bies, R. J., & Shapiro, D. L. (1987). Interactional fairness judgments: the influence of causal accounts. Social Justice Research, 1, 199–218.

    Article  Google Scholar 

  • Bitner, M. J. (1990). Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of Marketing, 54, 69–82.

    Article  Google Scholar 

  • Bitner, M. J., Booms, B. H., & Tetreault, M. S. (1990). The service encounter: diagnosing favorable and unfavorable incidents. Journal of Marketing, 54, 71–84.

    Article  Google Scholar 

  • Bitner, M. J., Booms, B. H., Tetreault, M. S., Brown, S. W., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of Marketing Science, 28, 138–149.

    Article  Google Scholar 

  • Blair, S. L., & Johnson, M. P. (1992). Wives’ perceptions of fairness of the division of household labor: the intersection of housework and ideology. Journal of Marriage and the Family, 54, 570–81.

    Article  Google Scholar 

  • Chen, F., Curran, P. J., Bollen, K. A., Kirby, J., & Paxton, P. (2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36(4), 462–494.

    Article  Google Scholar 

  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.

    Article  Google Scholar 

  • Crosby, L. A., & Stephens, N. (1987). Effects of relationship marketing on satisfaction, retention, and prices in the life insurance industry. Journal of Marketing Research, 24, 404–411.

    Article  Google Scholar 

  • Dong, B., Evans, K. R., & Zou, S. (2008). The effects of customer participation in co-created service recovery. Journal of the Academy of Marketing Science, 36(1), 123–137.

    Article  Google Scholar 

  • Folkes, V. S. (1984). Consumer reactions to product failure: an attributional approach. Journal of Consumer Research, 10, 398–409.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. L. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(3), 39–50.

    Article  Google Scholar 

  • Greenberg, J. (1990). Organizational justice: yesterday, today and tomorrow. Journal of Management, 16, 399–432.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Guadagnoli, E., & Velicer, W. (1988). Relation of sample size to the stability of component patterns. Psychological Bulletin, 103, 265–275.

    Article  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Hoffman, K. D., Kelley, S. W., & Chung, B. C. (2003). A CIT investigation of servicescape failures and associated recovery strategies. Journal of Services Marketing, 17(4), 322–40.

    Article  Google Scholar 

  • Hu, L-t, & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Article  Google Scholar 

  • Kelley, S. W., Hoffman, K. D., & Davis, M. A. (1993). A typology of retail failures and recoveries. Journal of Retailing, 69(4), 429–52.

    Article  Google Scholar 

  • Leventhal, G. S. (1980). What should be done with equity theory? New approaches to the study of fairness in social relationships. In K. J. Gergen, M. S. Greenberg, & R. H. Willis (Eds.), Social exchange: Advances in theory and research (pp. 27–55). New York: Plenum.

    Chapter  Google Scholar 

  • Lind, E. A., & Tyler, T. R. (1988). The social psychology of procedural justice. New York: Plenum Press.

    Google Scholar 

  • Lusch, R. F., & Vargo, S. L. (2006). Service-dominant logic as a foundation for building a general theory. In R. F. Lusch & S. L. Vargo (Eds.), The service-dominant logic of marketing: Dialog, debate and directions (pp. 406–20). Armonk: M.E. Sharpe.

    Google Scholar 

  • Lusch, R. F., Vargo, S. L., & O’Brien, M. (2007). Competing through service: insights from service-dominant logic. Journal of Retailing, 83(1), 5–18.

    Article  Google Scholar 

  • Magnini, V., Ford, J. B., Markowski, E. P., & Honeycutt, E. D., Jr. (2007). The service recovery paradox: justifiable theory or smoldering myth? Journal of Services Marketing, 21(3), 213–225.

    Article  Google Scholar 

  • Marsh, H. W., Hau, K.-T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181–220.

    Article  Google Scholar 

  • Mattila, A. S., & Cranage, D. (2005). The impact of choice on fairness in the context of service recovery. Journal of Services Marketing, 19(5), 271–79.

    Article  Google Scholar 

  • Maxham, J. G., & Netemeyer, R. G. (2002). A longitudinal study of complaining customers’ evaluations of multiple service failures and recovery. Journal of Marketing, 66(4), 57–71.

    Article  Google Scholar 

  • Mills, P. K., & Morris, J. J. (1986). Clients as ‘partial’ employees of service organizations: role development in client participation. Academy of Management Review, 11(4), 726–35.

    Google Scholar 

  • Mills, P. K., Chase, R. B., & Margulies, N. (1983). Motivating the client/employee system as a service production strategy. Academy of Management Review, 8(2), 301–10.

    Google Scholar 

  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17, 460–69.

    Article  Google Scholar 

  • Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. New York: McGraw-Hill.

    Google Scholar 

  • Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14, 495–507.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Roehm, M. L., & Brady, M. K. (2007). Consumer responses to performance failures by high-equity brands. Journal of Consumer Research, 34, 537–545.

    Article  Google Scholar 

  • Rosenthal, R., & Rosnow, R. L. (2008). Essentials of behavioral research: Methods and data analysis (3rd ed.). New York: McGraw-Hill.

    Google Scholar 

  • 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, 356–372.

    Article  Google Scholar 

  • Tax, S., Brown, S. W., & Chandrashekaran, M. (1998). Customer evaluations of service complaint experiences: implications for relationship marketing. Journal of Marketing, 62, 60–76.

    Article  Google Scholar 

  • Thibault, J., & Walker, L. (1975). Procedural justice: A psychological analysis. Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68, 1–17.

    Article  Google Scholar 

  • Wilkie, J. R., Ferre, M. M., & Ratcliff, K. S. (1998). Gender and fairness: marital satisfaction in two-earner couples. Journal of Marriage and the Family, 60, 577–594.

    Article  Google Scholar 

  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1993). The nature and determinants of customer expectations of service. Journal of the Academy of Marketing Science, 21(1), 1–12.

    Article  Google Scholar 

  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60, 31–46.

    Article  Google Scholar 

  • Zhao, X., Lynch, J., & Chen, Q. (2010). Reconsidering Baron and Kenny: myths and truths about mediation analysis. Journal of Consumer Research, 37, 197–206.

    Article  Google Scholar 

Download references

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Correspondence to Anne L. Roggeveen.

Appendices

Appendix A Study 1

Co-Creation, Less Severe Delay, No Compensation (Compensation)

You have been planning a vacation trip with your friends for some time now and the day of the trip finally arrives. You arrive at the airport and go to the airline counter to check in your luggage only to find out that the flight is cancelled.

Anticipating your concern, the airline agent takes the time to explain to you the reason for the cancellation. It turns out that the flight is cancelled due to current weather conditions at the destination.

The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent, who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 hours. (Due to the inconvenience that you experienced, the airline has decided to offer you a $105 coupon toward your next domestic flight. On average, you spend about $350 per ticket, so the $105 coupon would result in a savings of approximately 30% off your next ticket purchase.)

No Co-Creation, More Severe Delay, No Compensation

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. The agent asks you to wait in the lounge while he rebooks you. After 10 minutes, the agent calls you and explains that he was able to book you on a new flight that departs in 9 hours.

Study 2

Co-Creation, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent, who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours.

No Co-Creation, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. The agent asks you to wait in the lounge while he rebooks you. After 10 minutes, the agent calls you and explains that he was able to book you on a new flight that departs in 3(9) hours.

Study 3

Co-Creation Perceived Negatively, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent who is not able to think of many alternatives for you. You end up spending most of your time and effort suggesting alternatives to the agent, which he then tries out. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours.

Co-Creation Perceived Positively, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours.

No Co-Creation, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. The agent asks you to wait in the lounge while he rebooks you. After 10 minutes, the agent calls you and explains that he was able to book you on a new flight that departs in 3 (9) hours.

Study 4

Exceed Co-Creation Request, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent, who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours. Due to the inconvenience you have experienced you request a $100 coupon towards your next domestic flight (you usually spend about $400 on your plan tickets). The agent gives you a $180 coupon.

Meet Co-Creation Request, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent, who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours. Due to the inconvenience you have experienced you request a $100 coupon towards your next domestic flight (you usually spend about $400 on your plan tickets). The agent gives you a $100 coupon.

Do Not Meet Co-Creation Request, Less (More) Severe Delay

… The airline agent acknowledges the inconvenience that this will cause and promises to rebook you on a new flight. You stand with the agent, who thinks of many alternatives for you. Both of you look at these alternatives together. After about 10 minutes, the agent is able to book you on a new flight that departs in 3 (9) hours. Due to the inconvenience you have experienced you request a $100 coupon towards your next domestic flight (you usually spend about $400 on your plan tickets). The agent gives you a $20 coupon.

Appendix B

 

Factor Loadings

Study 2

Study 4

Satisfaction with the Recovery Process (Crosby and Stephens 1987)

  

Please indicate your level of agreement with the following statements:

  

Study 1: CR = .93, Study 3: CR = .95; 1 = strongly disagree, 5 = strongly agree

  

Study 2: CR = .97, Study 4: CR = .97; 1 = strongly disagree, 7 = strongly agree

  

I am satisfied with the way the company handled the situation.

.94

.95

I feel favorably about how the company handled the situation.

.98

.96

I liked how the company handled the situation.

.95

.97

Repurchase Intentions (Zeithaml et al. 1996)

  

Please indicate your level of agreement with the following statements:

  

(Study 2: CR = .90, Study 4: CR = .96; 1 = strongly disagree, 7 = strongly agree)

  

I will fly again with this company in the future.

.92

.92

I will consider this company as my first choice when traveling again in the future.

.76

.93

I will use this company next time I travel.

.91

.97

Distributive Justice (Smith et al. 1999)

  

Please indicate your level of agreement with the following statements:

  

(Study 2: CR = .90, Study 4: CR = .95; 1 = strongly disagree, 7 = strongly agree)

  

The outcome I received was fair.

.84

.92

I got what I deserved.

.72

.86

In resolving the problem, the company gave me what I needed.

.83

.89

The outcome I received was right.

.92

.95

Procedural Justice (Smith et al. 1999)

  

Please indicate your level of agreement with the following statements:

  

(Study 2: CR = .92, Study 4: CR = .94; 1 = strongly disagree, 7 = strongly agree)

  

The way in which the problem was resolved was appropriate.

.91

.93

The way the agent dealt with this issue was reasonable.

.90

.94

I feel the process of rebooking me was fair.

.77

.80

The company showed adequate flexibility in dealing with my problem.

.84

.88

Interactional Justice (Smith et al. 1999)

  

Please indicate your level of agreement with the following statements:

  

(Study 2: CR = .94, Study 4: CR = .95; 1 = strongly disagree, 7 = strongly agree)

  

The agent was appropriately concerned about my problem.

.91

.92

The agent’s communications with me were appropriate.

.87

.87

The agent put in the proper effort to resolve my problem.

.93

.94

The agent gave me the courtesy I was due.

.86

.89

  1. CR Composite Reliability

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Roggeveen, A.L., Tsiros, M. & Grewal, D. Understanding the co-creation effect: when does collaborating with customers provide a lift to service recovery?. J. of the Acad. Mark. Sci. 40, 771–790 (2012). https://doi.org/10.1007/s11747-011-0274-1

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