Comparing Factors Influencing Loyal Consumption Behavior Towards Fast-Food Restaurants
DOI:
https://doi.org/10.17010/ijom/2022/v52/i6/169835Keywords:
Service Quality
, SERVQUAL, , Fat-Food Service, Loyal Consumption Behavior, AHP, TOPSIS.Paper Submission Date
, May 25, 2021, Paper sent back for Revision, February 12, 2022, Paper Acceptance Date, March 20, Paper Published Online, June 15, 2022.Abstract
Facing saturation back home, many global fast-food restaurants have enhanced their presence across tier 2 and tier 3 cities in India to increase their market. The factors that propelled this buoyancy include rapid urbanization, changing lifestyles, less switching costs, and a rise in annual middle-class spending, which has made this sector highly competitive for retaining customers’ loyalty. A comparative study of three fast-food multi-national brands was conducted to evaluate service performance vis-à -vis customer preference to predict the basis of loyal consumption behavior. For measuring the service performance, two MCDM approaches were integrated with SERVQUAL methodology, that is, AHP & TOPSIS. The paper involved the identification of service quality dimensions and sub-dimensions relevant to fast-food service and then generating weights using the AHP technique, and then finally, establishing the ranking using TOPSIS. The findings revealed that food quality, timely service, clean and hygienic environment, availability of all menu items, consistency of taste, price sensitivity, friendly dealing, and soothing ambiance are the factors that bring loyal consumption behavior.Downloads
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Bagla, R. K., & Khan, J. (2017). Customers' expectations and satisfaction with online food ordering portals. Prabandhan: Indian Journal of Management, 10(11), 31–44. https://doi.org/10.17010/pijom/2017/v10i11/119401
Bhutia, P. W., & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43–50. https://doi.org/10.9790/3021-021034350
Brady, M. K., & Cronin Jr., J. J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34–49. https://doi.org/10.1509/jmkg.65.3.34.18334
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000–3011. https://doi.org/10.1016/j.eswa.2011.08.162
Carranza, R., DÃaz, E., & MartÃn - Consuegra, D. (2018). The influence of quality on satisfaction and customer loyalty with an importance-performance map analysis: Exploring the mediating role of trust. Journal of Hospitality and Tourism Technology, 9(3), 380–396. https://doi.org/10.1108/JHTT-09-2017-0104
Chua Chow, C., & Luk, P. (2005). A strategic service quality approach using analytic hierarchy process. Managing Service Quality: An International Journal, 15(3), 278–289. https://doi.org/10.1108/09604520510597827
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55–68. https://doi.org/10.1177/002224299205600304
Cullen, F. (2005). Factors influencing restaurant selection in Dublin. Journal of Foodservice Business Research, 7(2), 53–85. https://doi.org/10.1300/J369v07n02_05
Dabholkar, P. A., Thorpe, D. I., & Rentz, J. O. (1996). A measure of service quality for retail stores: Scale development and validation. Journal of the Academy of Marketing Science, 24(1), 3–16. https://doi.org/10.1007/BF02893933
Grönroos, C. (1982). Strategic management and marketing in the service sector. Chartwell - Bratt.
Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36–44. https://doi.org/10.1108/EUM0000000004784
Hsu, C. H., Byun, S., & Yang, I.-S. (1997). Attitudes of Korean college students towards quick-service, family-style, and fine dining restaurants. Journal of Restaurant & Foodservice Marketing, 2(4), 65–85. https://doi.org/10.1300/J061v02n04_05
Hwang, C.- L., & Yoon, K. (1981). Methods for multiple attribute decision making. In, Multiple attribute decision making. Lecture notes in economics and mathematical systems (Vol. 186). Springer. https://doi.org/10.1007/978-3-642-48318-9_3
Kim, H. J., McCahon, C., & Miller, J. (2003). Service orientation for contact employees in Korean casual-dining restaurants. International Journal of Hospitality Management, 22(1), 67–83. https://doi.org/10.1016/S0278-4319(02)00073-7
Kivela, J. J. (1997). Restaurant marketing: Selection and segmentation in Hong Kong. International Journal of Contemporary Hospitality Management, 9(3), 116–123. https://doi.org/10.1108/09596119710164650
Knutson, B., Stevens, P., Wullaert, C., Patton, M., & Yokoyama, F. (1990). Lodgserv: A service quality index for the lodging industry. Hospitality Research Journal, 14(2), 277–284. https://doi.org/10.1177/109634809001400230
Kotelnikov, V. (2008). Customer retention: Driving profits through giving lots of reasons to stay. www.1000ventures.com/business_guide/crosscuttings/customer_retention.html
Liu, P., & Tse, E. C.-Y. (2018). Exploring factors on customers' restaurant choice: An analysis of restaurant attributes. British Food Journal, 120(10), 2289–2303. https://doi.org/10.1108/BFJ-10-2017-0561
Markovic, S., Raspor Jankovic, S., & Dorcic, J. (2011). What are the key dimensions of restaurant service quality? An empirical study in the city restaurant settings. Available at SSRN. https://ssrn.com/abstract=2165742
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(4), 41–50. https://doi.org/10.1177/002224298504900403
Prabhavathi, Y., Kishore, N. T., & Kumar, M. R. (2014). Consumer preference and spending pattern in Indian fast food industry. International Journal of Scientific and Research Publications, 4(2), 1–5.
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting. McGraw-Hill International Book, Co.
Saaty, T. L. (1989). Decision making, scaling, and number crunching. Decision Sciences, 20(2), 404–409. https://doi.org/10.1111/j.1540-5915.1989.tb01887.x
Saaty, T. L. (2012). Decision making for leaders: The analytic hierarchy process for decisions in a complex world (3rd revised edition). RWS Publications.
Sheldon, P. J., & Fox, M. (1988). The role of foodservice in vacation choice and experience: A cross-cultural analysis. Journal of Travel Research, 27(2), 9–15. https://doi.org/10.1177/004728758802700202
Sivathanu, B. (2017). Food marketing and its impact on adolescents' food choices. Indian Journal of Marketing, 47(8), 46–60. https://doi.org/10.17010/ijom/2017/v47/i8/117432
Slack, N. J., Singh, G., Ali, J., Lata, R., Mudaliar, K., & Swamy, Y. (2021). Influence of fast-food restaurant service quality and its dimensions on customer perceived value, satisfaction and behavioural intentions. British Food Journal, 123(4), 1324–1344. https://doi.org/10.1108/BFJ-09-2020-0771
Stevens, P., Knutson, B., & Patton, M. (1995). DINESERV: A tool for measuring service quality in restaurants. The Cornell Hotel and Restaurant Administration Quarterly, 36(2), 56–60. https://doi.org/10.1016/0010-8804(95)93844-K
Xue, D., Zhao, Q., & Guo, X. (2008, October). TOPSIS method for evaluation customer service satisfaction to fast food industry. In, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, 920–925. IEEE. https://doi.org/10.1109/SOLI.2008.4686530
Yildiz, S., & Yildiz, E. (2015). Service quality evaluation of restaurants using the AHP and TOPSIS method. Journal of Social and Administrative Sciences, 2(2), 53–61. http://dx.doi.org/10.1453/jsas.v2i2.233
Yüksel, A., & Yüksel, F. (2002). Market segmentation based on tourists' dining preferences. Journal of Hospitality & Tourism Research, 26(4), 315–331. https://doi.org/10.1177/109634802237482