An Engel–Kollat–Blackwell model application on restaurant clientele purchase decision-making processes in commercial eateries in Kakamega County, Kenya

References

• Bartels, D. M., & Johnson, E. J. (2015). Connecting cognition and consumer choice. Cognition, 135, 47-51. https://doi.org/10.1016/j.cognition.2014.11.024
   PubMed Web of Science ®Google Scholar
• Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2006). Consumer behavior, 10th edn. Thomson/Sount.
   Google Scholar
• Bruner, G. C., & Pomazal, R. J. (1988). Problem recognition: The crucial first stage of the consumer decision process. The Journal of Consumer Marketing, 2(3), 43-53. https://doi.org/10.1108/eb024733
   Google Scholar
• Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e-commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347. https://doi.org/10.1002/mar.10076
   Web of Science ®Google Scholar
• Erasmus, A. C., Boshoff, E., & Rousseau, G. G. (2001). Consumer decisionmaking models within the discipline of consumer science: a critical approach. Journal of Consumer Sciences, 29(1), 82-90.
   Google Scholar
• Fisher, R. A. (1935). The logic of inductive inference (with discussions). Journal of Royal Statistical Society, 98(1), 39-82. http://doi.org/10.2307/2342435
   Google Scholar
• Gall, M. D., Gall, J. P., & Borg, W. R. (2007). Educational research: an introduction. Pearson education.
   Google Scholar
• Garson, D. G. (2014). Multiple regression: Statistical Associates Blue Book Series. Statistical Publishing Associates.
   Google Scholar
• Hauser, J. R., & Wernerfelt, B. (1990). An evaluation cost model of consideration sets. Journal of Consumer Research, 16(4), 393-408. https://doi.org/10.1086/209225
   Web of Science ®Google Scholar
• Hong, I. B. (2015). Understanding the consumer’s online merchant selection process: The roles of product involvement, perceived risk, and trust expectation. International Journal of Information Management, 35(3), 322-336. https://doi.org/10.1016/j.ijinfomgt.2015.01.003
   Web of Science ®Google Scholar
• Hoyer, W. D., & MacInnis, D. J. (2003). Consumer Behavior, 3rd edn. Houghton Mifflin.
   Google Scholar
• Jackson, S. L. (2009). Research methods and statistics: a critical thinking approach, 3rd edn. Walworth.
   Google Scholar
• Kothari, R. (2010). Research methodology. methods and techniques, 2nd edn. New Age International.
   Google Scholar
• Kotler, P., Armstrong, B., Saunders, J., & Wong, V. (1998). Marketing for hospitality and tourism. Hodder education.
   Google Scholar
• Lillicrap, D., & Cousins, J. (2014). Food and beverage service, 12th edn. Hodder education.
   Google Scholar
• Longart, P. (2010). What drives word-of-mouth in restaurants? International Journal of Contemporary Hospitality Management, 22(1), 121-128. https://doi.org/10.1108/09596111011013516
   Web of Science ®Google Scholar
• O’Leary, Z. (2014). The Essential Guide to Doing Research Project, 2nd edn.
   Google Scholar
• Olshavsky, R. W., & Granbois, D. H. (1979). Consumer decision-making - fact or fiction? Journal of Consumer Research, 6(2), 93-100. https://doi.org/10.1086/208753
   Web of Science ®Google Scholar
• Pallant, J. (2010). SPSS survival manual: A Step-By-Step Guide to Data Analysis Using SPSS. 4th edn. Open University Press/Mcgraw-Hill Maidenhead.
   Google Scholar
• Rickwood, C., & White, L. (2009). Pre-purchase decision-making for a complex service: Retirement planning. Journal of Services Marketing, 23(3), 145-153. https://doi.org/10.1108/08876040910955152
   Web of Science ®Google Scholar
• Sparks, B. A., Bradley, G. L., & Callan, V. J. (1997). The impact of staff empowerment and communication style on customer evaluations: The special case of service failure. Psychology & Marketing, 14(5), 475-493. https://doi.org/10.1002/(SICI)1520-6793(199708)14:5%3C475::AID-MAR3%3e3.0.CO;2-5
   Web of Science ®Google Scholar
• Stehlik-Barry, K., & Babivec, A. J. (2017). Data analysis with IBM SPSS: implementing data modeling, description, statistics and ANOVA. Packt Publishing.
   Google Scholar
• Pham, M. T., & Higgins, E. T. (2005). Promotion and prevention in consumer decision-making: the state of the art and theoretical propositions. Routledge. https://doi.org/10.4324/9780203481295
   Google Scholar
• Uedufy. (2023). How to interpret model fit results in AMOS. UEDUFY, 11 November. https://uedufy.com/how-to-interpret-model-fit-results-in-amos/
   Google Scholar
• Whaley, E., Douglas, C., & O’Neill, A. (2014). What’s in a tip? The creation and refinement of a restaurant-tipping motivations scale: A consumer perspective. International Journal of Hospitality Management, 37, 121-130. https://doi.org/10.1016/j.ijhm.2013.11.005
   Web of Science ®Google Scholar
• Wilkie, W. L. (1994). Consumer behavior. Van Hoffman Press.
   Google Scholar