Identifying the Dimensions of Customer Preference in the Foodservice Industry
Assoc. Prof. Dr. Firdaus Abdullah1, Abg Zainoren Abg Abdurahman², Prof. Dr. Jamil Hamali³
¹²³Universiti Teknologi MARA, Malaysia
Abstract. Foodservice industry management must place a high priority on understanding the growing markets. This fast growing industry has a huge influence on the global economy, however it is greatly affected by customers’ ever-changing preferences. It is essential for managers to gain and sustain strategic advantage in the highly competitive industry, however to become and remain competitive in this industry requires a local customer preference assessment. This paper presents the dimensions of customer preference in the food service industry, empirically tested for unidimensionality, reliability and validity using both exploratory and confirmatory factor analysis. A 30-item questionnaire was designed and distributed to 1000 foodservice customers, yielding a response rate of 64.2%. Factorial analysis confirmed five dimensions of customer preference, and using multiple regression, their order of importance are Halal (Allowable in Islam), Price, Quality of Service, Branding and Tangibles.
Keywords: customer preference, foodservice industry, dimensions
1. Introduction
In the ever changing market environment, today’s foodservice operators must place a high priority on understanding the market in order to retain and sustain strategic advantage in the highly competitive foodservice industry [1]. This industry is considered to be the fastest growth industry in the global market (Gu and Kim, 2002), and it is described by players of the industry as being in the middle of a perfect storm (Haas, 2008). It is important to note that the foodservice industry is influenced by fast-changing customer preferences (See Kara et al., 1995; Blum, 1996; Sun and
References: [1] McQueen, J. (1985). Causes and Lessons of Business Failure. Journal of Institute of Credit, October, 24-35. [2] Gu, C., & Kim, Y.-J. (2002). Penalized likelihood regression: General formulation and efficient approximation. Canadian Journal of Statistics, 30(4), 619-628. [3] Haas, T. J. (2008). Today 's foodservice industry demands strong leadership: Business Publications. [4] Kara, A., Kaynak, E., & Kucukemiroglu, O. (1995). Marketing strategies for fast-food restaurants: a customer view. International Journal of Contemporary Hospitality Management, 7(4), 16-22. [5] Blum, S. C. (1996). Organizational trend analysis of the hospitality industry: preparing for change. International Journal of Contemporary Hospitality Management, 8(7), 20-32. [6] Sun, Y.-H. C., & Morisson, A. M. (2006). Senior Citizens and Their Dining-out Traits: Implications for Restaurants. International Journal of Hospitality Management, 26, 376-394. [7] Waldfogel, J. (2008). The Median Voter and The Median Consumer: Local Private Goods and Population Composition. Journal of Urban Economics, 63(2), 567-582. [8] Lichtenstein, S., & Slovic, P. (2006). The construction of preference: New York: Cambridge University Press. [9] Fife-Schaw, C., Kelay, T., Vloerbergh, I., Chenoweth, J., Morrison, G., & Lundéhn, C. (2007). Measuring customer preferences for drinking water services. [10] Park, C. (2004). Effecient or Enjoyable? Consumer Values of Eating-out and Fast Food Restaurant Consumption in Korea. International Journal of Hospitality Management, 23, 87-94. [11] Choi, J.-K., Lee, J.-E., & Zhao, J. (2009). A comparison of the restaurant selection preferences between residents and visitors of South Florida. Paper presented at the International CHRIE Conference- Refereed Track University of Massachusetts, Amherst. [12] 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), 387-410. [13] Knutson, B. J. (2000). College Students and Fast Food: How Students Perceive Restaurant Brands. The Cornell Hotel and Restaurant Administration Quarterly, 41(3), 68-66. [14] Koo, L. C., Tao, F. K. C., & Yeung, J. H. C. (1999). Preferential segmentation of restaurant attributes through conjoint analysis. International Journal of Contemporary Hospitality Management, 11(5), 242-250. [15] Pedraja, M., & Yague, J. (2001). What Information Do Customers Use When Choosing A Restaurant? International Journal of Contemporary Hospitality Management, 13(6), 316-318. [16] Scherer, K. R. (2005). What are emotions? And how can they be measured? Social Science Information, 44, 695729. [17] Brehm, J. W. (1956). Post-decision changes in desirability of choice alternatives. Journal of Abnormal and Social Psychology, 52, 384-389. 356 [18] Sharot, T., Martino, B. D., & Dolan, R. J. (2009). How choice reveals and shapes expected hedonic outcome. Journal of Neuroscience, 29, 3760-3765. [19] Coppin, G., Delplanque, S., Cayeux, I., Porcherot, C., & Sander, D. (2010). I’m no longer torn after choice: How explicit choices can implicitly shape preferences for odors. Psychological Science, 21, 489-493. [20] Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(Spring), 12-37. [21] Kivela, J., Inbakaran, R., & Reece, J. (2000). Consumer Research in The Restaurant Environment, Part 3: Analysis, Findings and Conclusions. International Journal of Contemporary Hospitality Management, 12(1), 13-30. [22] Wansink, B., Ittersum, K. V., & Painter, J. (2005). How Descriptive Food Names Bias Sensory Perceptions in Restaurants. 16, 5(393-400). [23] Wansink, B., Painter, J., & Ittersum, K. V. (2001). Descriptive Menu Labels ' Effect on Sales. The Cornell Hotel and Restaurant Administration Quarterly, 42(6), 68-72. [24] Consuegra, D. M.-., Molina, A., & Esteban, A. (2007). An Integrated Model of Price, Satisfaction and Loyalty: An Empirical Analysis in the Service Sector. Journal of Product & Brand Management, 16(7), 459-468. [25] Iglesias, M. P., & Guillen, M. J. Y. (2004). Perceived quality and price: their impact on the satisfaction of restaurant customers. International Journal of Contemporary Hospitality Management, 16(6), 373-379. [26] Wall, E. A., & Berry, L. L. (2007). The Combined Effects of the Physical Environment and Employee Behavior on Customer Perception of Restaurant Service Quality. Cornell Hotel and Restaurant Administration Quarterly, 48(1), 59-69. [27] [27] Hong, E. (1985). See the Third World while it lasts: The social and environmental impact of tourism with special reference to Malaysia. Penang. Consumers’ Association of Penang. [28] [28] Zakaria, N., & Abdul-Talib, A. N. (2010). Applying Islamic market-oriented cultural model to sensitize strategies towards global customers, competitors, and environment. Journal of Islamic Marketing, 1(1), 51-62. [29] Fatimah, U. Z. A. U., Boo, H. C., Sambasivan, M., & Salleh, R. (2011). Foodservice Hygiene Factors- The Consumer Perspective. International Journal of Hospitality Management, 30, 38-45. [30] Joreskog, K. G., & Sorbom, D. (1978). Analysis of Linear Structural Relationship by Method of Maximum Likelihood. Chicago, IL: National Educational Resources. [31] Fitzgerald, L. F., Drasgow, F., Hulin, C. L., Gelfard, M. J., & Magley, V. J. (1997). Antecedents and Consequences of Sexual harrassment in Organizations: A Test of an Integrated Model. Journal of Applied Psychology, 82(4), 578-589. [32] Diamantopoulos, A., Siguaw, J., & Siguaw, J. A. (2000). Introducing LISREL: a guide for the uniniated. London: Sage Publications. [33] Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Social Methods Res, 17(3), 303-316. [34] Tabachnik, B. G., & Fidell, L. S. (2007). Using multivariate statistics (Vol. 5th Edition). Boston: Allyn & Bacon. [35] Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. [36] Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2001). A holistic model for total quality service. International Journal of Service Industry Management, 12(4), 378-412. [37] Browne, D. J., & Koenig, H. F. (1993). Applying total quality management to business education. Journal of Education for Business, July/August, 329-329. [38] Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. [39] Bohrnstedt, G. (1983). Handbook of Survey Research, Measurement. San Diego: Academic press. [40] Kaplan, R. M., & Saccuzzo, D. P. (1993). Psychological testing: principles, applications and issues (Vol. 3rd Edition). Pacific Grove, CA. [41] Banks, J. (2005). Discrete-Event System Simulation. Upper Saddle River, NJ: Prentice Hall. [42] Kline, R. B. (1998). Principle and practice of structural equation modeling. NY: Guilford Press. 357