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Antecedents of Customer Experiences: An Investigation into Utilitarian and Hedonic Cues in Quick-Bite Restaurants

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Business Resilience and Digital Technology in the Post-Pandemic Era

Abstract

Focusing on customer experiences is the latest strategy adopted by marketers to build competitive advantage. This study aims to determine the antecedents of such experiences and how people behave with each other in the quick-bite restaurants in Bangalore. It also analyses the correlations between such latent factors, and it features a model for constructing utilitarian cues and hedonic cues of customer experiences. This is a descriptive study, wherein the survey method collects primary data by administering structured Likert-scale tests to 144 respondents. The secondary data are utilised for conceptualising the model, and the primary data are analysed via principal component analysis (PCA) and confirmatory factor analysis (CFA) by using Statistical Package for Social Sciences (SPSS) and Microsoft Excel (MS Excel). The study links the cues and customer experience. Both the hedonic cues and the utilitarian cues are compared to determine how they affect customer experiences, specifically in quick-bite restaurants.

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References

  1. Becker, L., & Jaakkola, E. (2020). Customer experience: Fundamental premises and implications for research. Journal of the Academy of Marketing Science, 48, 630–648.

    Article  Google Scholar 

  2. Meyer, C., & Schwager, A. (2007). Understanding customer experience. Harvard Business Review, 85(2), 116.

    Google Scholar 

  3. Parsa, H. G., Shuster, B. K., & Bujisic, M. (2020). New classification system for the US restaurant industry: Application of utilitarian and hedonic continuum model. Cornell Hospitality Quarterly, 61(4), 379–400.

    Article  Google Scholar 

  4. Berry, L. L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan Management Review.

    Google Scholar 

  5. Carbone, L., & Haeckel, S. (1994). Engineering customer experiences. Marketing Management, 3, 8–19.

    Google Scholar 

  6. Parasuraman, A. B. L. L., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality, 64(1), 12–40.

    Google Scholar 

  7. Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring, and predicting etail quality. Journal of Retailing, 79(3), 183–198.

    Article  Google Scholar 

  8. Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156

  9. Gentile, C., Spiller, N., & Noci, G. (2007). How to sustain the customer experience: An overview of experience components that co-create value with the customer. European Management Journal, 25(5), 395–410.

    Article  Google Scholar 

  10. Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41.

    Article  Google Scholar 

  11. Klaus. (2012). EXQ: a multiple-item scale for assessing service experience. Journal of Service Management, 23(1), 5–33. https://doi.org/10.1108/09564231211208952

    Article  Google Scholar 

  12. Havíř, D. A. (2017). Comparison of the approaches to customer experience analysis. Economics & Business, 31(1).

    Google Scholar 

  13. Javed, S., Rashidin, M. S., Zhu, M., Xu, Z., Jian, W., & Zuo, S. (2021). Combined effects of drivers and impact of customer satisfaction on brand loyalty: The contingent effect of social trust. SAGE Open, 11(1), 21582440211003566.

    Article  Google Scholar 

  14. Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11.

    Article  Google Scholar 

  15. Tinsley, H. E. A., & Tinsley, D. J. (1987). Uses of factor analysis in counselling psychology research. Journal of Counseling Psychology, 34(4), 414–424. https://doi.org/10.1037/0022-0167.34.4.414

    Article  Google Scholar 

  16. Kim, J. J., Lee, J. S., & Han, H. (2023). Tangible and intangible hotel in-room amenities in shaping customer experience and the consequences in the with-corona era. International Journal of Contemporary Hospitality Management, 35(2), 657–681.

    Article  Google Scholar 

  17. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.

    Article  Google Scholar 

  18. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

    Article  Google Scholar 

  19. Ahire, S. L., & Devaraj, S. (2001). An empirical comparison of statistical construct validation approaches. IEEE Transactions on Engineering Management, 48(3), 319–329.

    Article  Google Scholar 

  20. Sürücü, L., & MASLAKÇI, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694–2726.

    Google Scholar 

  21. Beavers, S., Lounsbury, J. W., Richards, J. K., Huck, S. W., Skolits, G. J., & Esquivel, S. L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research and Evaluation, 18, 1.

    Google Scholar 

  22. Eaton, P., Frank, B., Johnson, K., & Willoughby, S. (2019). Comparing exploratory factor models of the brief electricity and magnetism assessment and the conceptual survey of electricity and magnetism. Physical Review Physics Education Research, 15(2), 020133.

    Article  Google Scholar 

  23. Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. Handbook of structural equation modeling, 361, 379.

    Google Scholar 

  24. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson.

    Google Scholar 

  25. Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184. https://doi.org/10.1177/01466216970212006

    Article  Google Scholar 

  26. Falk, C. F., & Savalei, V. (2011). The relationship between unstandardized and standardized alpha, true reliability, and the underlying measurement model. Journal of Personality Assessment, 93(5), 445–453.

    Article  Google Scholar 

  27. Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–338.

    Article  Google Scholar 

  28. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

    Google Scholar 

  29. McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates.

    Google Scholar 

  30. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

    Article  Google Scholar 

  31. Gao, Y., Li, X., & Sun, X. (2020). Influence of cross-cultural adjustment on expatriate job performance in China: The mediating roles of job satisfaction and job commitment. Asia Pacific Journal of Management, 37(2), 591–611. https://doi.org/10.1007/s10490-019-09647-6

    Article  Google Scholar 

  32. Nandini, A. S. (2014). McDonald’s success story in India. Journal of Contemporary Research in Management, 9(3), 21.

    Google Scholar 

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Sateesh Kumar, T.K., Retheesh, P.T., Vipulkumar, N.M. (2024). Antecedents of Customer Experiences: An Investigation into Utilitarian and Hedonic Cues in Quick-Bite Restaurants. In: K. P., J.M., Asis, E.R., T. K., M., Michael, J.N. (eds) Business Resilience and Digital Technology in the Post-Pandemic Era. Contributions to Environmental Sciences & Innovative Business Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-48075-1_20

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