Development And Validation Of A Service Quality Measurement Instrument For Cosmetic Retail Stores
Abstract
This study aimed to develop and validate a service quality measurement instrument specifically for brick-and-mortar cosmetic retail stores in Lampung Province, Indonesia. An initial pool of 40 items—reflecting six dimensions (store aesthetics, ambience, lighting, product display, store layout, and staff service quality)—was generated based on the literature and refined through expert review and pilot testing. Data were collected from 126 customers of three major cosmetic retailers in Lampung. Exploratory factor analysis (EFA) on 33 retained items revealed a stable three-factor structure (“Store Aesthetics,” “Ambience & Lighting,” and “Product Display, Layout & Staff Service”), explaining 70.6% of the total variance. Confirmatory factor analysis (CFA) confirmed model fit (CFI = 0.96; TLI = 0.95; RMSEA = 0.045; SRMR = 0.042). Each factor demonstrated high internal consistency (α ≥ 0.878; CR ≥ 0.90) and acceptable convergent validity (AVE ≥ 0.56) and discriminant validity. The final 26-item scale offers a psychometrically sound tool for assessing service quality in Indonesian cosmetic retail environments. Practically, managers can use this instrument to identify areas for improvement—in interior design, sensory ambience, merchandise presentation, store layout, and staff training—to enhance customer satisfaction and loyalty.
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References
ASEAN Cosmetics Committee. (2022). Annual report on cosmetic industry growth in Southeast Asia. ASEAN Cosmetics Committee.
Bartlett, M. S. (1954). A note on the multiplying factors for various χ² approximations. Journal of the Royal Statistical Society: Series B (Methodological), 16(2), 296–298.
Bujisic, M., Hutchinson, J., & Parsa, H. G. (2014). The effects of restaurant-related attributes on customer behavioral intentions. International Journal of Contemporary Hospitality Management, 26(8), 1270–1291. https://doi.org/10.1108/IJCHM-03-2014-0135
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press.
Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge.
Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. https://doi.org/10.1177/002224377901600110
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. https://doi.org/10.1207/s15327906mbr0102_10
Cronin, J. J., Jr., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55–68. https://doi.org/10.1177/002224299205600304
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). Sage.
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
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning EMEA.
Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21(5), 967–988. https://doi.org/10.1016/0149-2063(95)90050-0
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. https://doi.org/10.1080/10705519909540118
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
Kim, W. G., & Lee, S. (2011). Dimensional hierarchical approach to evaluate perceived service quality in online shopping. Journal of Retailing and Consumer Services, 18(3), 219–227. https://doi.org/10.1016/j.jretconser.2010.11.011
Komarudin, A. (2018). Consumer cultural preferences in Lampung Province: Implications for retail design. Journal of Indonesian Consumer Studies, 5(2), 45–59.
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385. https://doi.org/10.1097/00006199-198611000-00017
Mendocilla, M., Miravitlles, P., & Matute, J. (2021). QUICKSERV: A service quality assessment tool for the quick-service restaurant industry. British Food Journal, 123(13), 241–259.
Namkung, Y., & Jang, S. (2007). Does food quality really matter in restaurants? Its impact on customer satisfaction and behavioral intentions. Journal of Hospitality & Tourism Research, 31(3), 387–409.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Nguyen, N., LeMeunier-FitzHugh, K., & Lévesque, M. (2013). Service quality in an Internet self-service technology context: A self-determination perspective on customer satisfaction. Journal of Business Research, 66(8), 919–926. https://doi.org/10.1016/j.jbusres.2012.11.014
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multi-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
Puccinelli, N. M., Goodstein, R. C., Grewal, D., Price, R., Raghubir, P., & Stewart, D. (2009). Customer experience management in retailing: Understanding the buying process. Journal of Retailing, 85(1), 15–30. https://doi.org/10.1016/j.jretai.2008.11.003
Purwanto, E., & Hapsari, R. (2020). Evaluating retail service quality in Jakarta shopping malls. Journal of Indonesian Retail Studies, 7(1), 12–28.
Raajpoot, N. A. (2002). TANGSERV: A measure of tangible aspects of service quality. Journal of Foodservice Business Research, 5(2), 109–127. https://doi.org/10.1300/J369v05n02_08
Rahayu, A., Hidayat, R., & Sari, F. P. (2019). The impact of interior aesthetics and aroma on customer return intentions in Yogyakarta beauty salons. Jurnal Perilaku Konsumen Indonesia, 8(3), 102–117.
Ryu, K., & Jang, S. (2008). DINESCAPE: A scale for customers’ perception of dining environments. Journal of Foodservice Business Research, 11(1), 2–22. https://doi.org/10.1080/15378020802120966
Ryu, K., Lee, H. R., & Kim, W. G. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200–223.
Silva, D. S., Cavalcanti, J., & Ricciardi, F. (2020). Customer decision-making factors in the cosmetics shopping experience. Journal of Retailing and Consumer Services, 54, 102041.
Voice, G. B. (2005). Cognitive interviewing: A tool for improving questionnaire design. Sage.
Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. Free Press.
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