바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Measuring Service Convenience for Korean Retail Stores: Scale Development and Empirical Testing

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2014, v.12 no.9, pp.95-99
https://doi.org/https://doi.org/10.15722/jds.12.9.201409.95
Kim, Mi-Jeong
Park, Chul-Ju
  • Downloaded
  • Viewed

Abstract

Purpose - This study aims to develop and empirically test a multi-dimensional service convenience scale with the dimensions and measurement items of service convenience perceived by Korean consumers in retail contexts. Research design, data, and methodology - The study adopts the framework suggested by Berry et al. (2002) and conceptualizes service convenience as a second-order reflective construct comprising 31 items. Three department store chains (Hyundai, Lotte, and Shinsegae) and three discount store chains (E-mart, Homeplus, and Lotte Mart) were involved 510 valid responses were used for the empirical testing. Results - The measurement model is acceptable for internal consistency, convergent validity, and discriminant validity. Further, the structural model results show that service convenience is positively related to satisfaction. Results of the rival model comparison indicate that the proposed second-order factor model provides a better fit to the data than both the five-factor and the one-factor model. Conclusions - The multi-dimensional, second-order conceptualization of service convenience is robustly supported. This study provides psychometrically valid scales to measure service convenience in retail contexts as conceptualized by Berry et al. (2002).

keywords
Service Convenience, Retail Store, Customer Satisfaction

Reference

1.

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(July), 1-17.

2.

Brown, L. G. (1990). Convenience in services marketing. Journal of Services Marketing, 4(1), 53-59.

3.

Colwell, S. R., Aung, M., Kanetkar, V., and Holden, A. L. (2008). Toward a measure of service convenience: multiple-item scale development and empirical test. Journal of Services Marketing, 22(2), 160-169.

4.

Dabholkar, P. A., Bobbitt, L. M., and Lee, E. J. (2003). Understanding consumer motivation and behavior related to self-scanning in retailing: implications for strategy and research on technology-based self-service. International Journal of Service Industry Management, 14(1), 59-95.

5.

Hair, J. F., Black, B., Babin, B., Anderson R. E., & Tatham, R. L. (2006). Multivariate Data Analysis(6th ed.). New Jersey: Prentice-Hall.

6.

Jin, B., & Suh, Y. G. (2005). Integrating effect of consumer perception factors in predicting private brand purchase in a Korean discount store context. Journal of Consumer Marketing, 22(2), 62-71.

7.

Koo, D. M. (2003). Inter-relationships among store images, store satisfaction, and store loyalty among Korea discount retail patrons. Asia Pacific Journal of Marketing and Logistics, 15(4), 42-71.

8.

Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64.

9.

Nguyen, D. T., DeWitt, T., & Russell-Bennett, R. (2012). Service convenience and social servicescape: retail vs hedonic setting. Journal of Services Marketing, 26(4), 265-277.

10.

Seiders, K., Voss, G. B., Grewal, D., & Godfrey, A.L. (2005). Do satisfied customers buy more? Examining moderating influences in a retailing context. Journal of Marketing, 69(4), 26–43.

11.

Seiders, K., Voss, G. B., Godfrey, A. L., & Grewal, D. (2007). SERVCON: Development and validation of a multidimensional service convenience scale. Journal of the Academy Marketing Science, 35(1), 144-156.

The Journal of Distribution Science