Motivational Factors Towards Fast-Food Joint Selection in Under-Developed Country Setting: A Partial Least Square and Structural Equation Modeling (PLS-SEM) Approach

References

• Adam, I., Hiamey, S. E., & Afenyo, E. A. (2014). Students’ food safety concerns and choice of eating place in Ghana. Food Control, 43, 135–21. https://doi.org/10.1016/j.foodcont.2014.03.005
   Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50 (2), 179–211. Retrieved from https://www.dphu.org/uploads/attachements/books/books_4931_0.pdf
   Web of Science ®Google Scholar
• Akbay, C., Tiryaki, G. Y., & Gul, A. (2007). Consumer characteristics influencing fast food consumption in Turkey. Food Control, 18(8), 904–913. https://doi.org/10.1016/j.foodcont.2006.05.007
   Web of Science ®Google Scholar
• Amegbe, H., & Osakwe, C. N. (2018). Towards achieving strong customer loyalty in the financial services industry: Ghanaian top banks’ customers as a test case. International Journal of Bank Marketing, 36(5), 988–1007. https://doi.org/10.1108/IJBM-06-2017-0120
   Web of Science ®Google Scholar
• Amuquandoh, F. E., & Asafo-Adjei, R. (2013). Traditional food preferences of tourists in Ghana. British Food Journal, 115(7), 987–1002. https://doi.org/10.1108/BFJ-11-2010-0197
   Web of Science ®Google Scholar
• Anand, R. (2011). A study of determinants impacting consumers food choice with reference to the fast food consumption in India. Society and Business Review, 6(2), 176–187. https://doi.org/10.1108/17465681111143993
   Google Scholar
• Auty, S. (1992). Consumer choice and segmentation in the restaurant industry. Service Industries Journal, 12(3), 324–339. https://doi.org/10.1080/02642069200000042
   Google Scholar
• Ayala, G. X., Mueller, K., Lopez-Madurga, E., Campbell, N. R., & Elder, J. P. (2005). Restaurant and food shopping selections among Latino women in Southern California. Journal of the American Dietetic Association, 105(1), 38–45. https://doi.org/10.1016/j.jada.2004.10.023
   PubMed Web of Science ®Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
   Google Scholar
• Basri, N. A. H., Ahmad, R., Anuar, F. I., & Ismail, K. A. (2016). Effect of word of mouth communication on consumer purchase decision: Malay upscale restaurant. Procedia - Social and Behavioral Sciences, 222, 324–331. https://doi.org/10.1016/j.sbspro.2016.05.175
   Google Scholar
• Bigne, E., Andreu, L., Hernandez, B., & Ruiz, C. (2018). The impact of social media and offline influences on consumer behaviour. An analysis of the low-cost airline industry. Current Issues in Tourism, 21(9), 1014–1032. https://doi.org/10.1080/13683500.2015.1126236
   Web of Science ®Google Scholar
• Boek, S., Bianco-Simeral, S., Chan, K., & Goto, K. (2012). Gender and race are significant determinants of students’ food choices on a college campus. Journal of Nutrition Education and Behavior, 44(4), 372–378. https://doi.org/10.1016/j.jneb.2011.12.007
   PubMed Web of Science ®Google Scholar
• Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20. https://doi.org/10.1002/dir.20082
   Web of Science ®Google Scholar
• Chen, X., Ran, L., Zhang, Y., Yang, J., Yao, H., Zhu, S., & Tan, X. (2019). Moderating role of job satisfaction on turnover intention and burnout among workers in primary care institutions: A cross-sectional study. BMC Public Health, 19(1), 1. https://doi.org/10.1186/s12889-019-7894-7
   PubMed Web of Science ®Google Scholar
• Crawford Solberg, E., Diener, E., Wirtz, D., Lucas, R. E., & Oishi, S. (2002). Wanting, having, and satisfaction: Examining the role of desire discrepancies in satisfaction with income. Journal of Personality and Social Psychology, 83(3), 725–734. https://doi.org/10.1037/0022-3514.83.3.725
   PubMed Web of Science ®Google Scholar
• Dijkstra, T. K., & Henseler, J. (2015a). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics & Data Analysis, 81, 10–23. https://doi.org/10.1016/j.csda.2014.07.008
   Web of Science ®Google Scholar
• Dijkstra, T. K., & Henseler, J. (2015b). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 2. https://doi.org/10.25300/MISQ/2015/39.2.02
   Web of Science ®Google Scholar
• Dunn, K. I., Mohr, P., Wilson, C. J., & Wittert, G. A. (2011). Determinants of fast-food consumption. An application of the theory of planned behaviour. Appetite, 57(2), 349–357. https://doi.org/10.1016/j.appet.2011.06.004
   PubMed Web of Science ®Google Scholar
• DW.com. (2019). Ghana’s Obesity Problem blamed on the rise in Fast food. 1–6. Retrieved from https://www.ghanaweb.com/GhanaHomePage/NewsArchive/Ghana-s-obesity-problem-blamed-on-rise-in-fast-food-joints-689737
   Google Scholar
• Effertz, T., & Berg, C. (2017). Television food advertising to children: A global perspective. 100(September 2010), 9–10. https://doi.org/10.2105/AJPH.2009.179267
   Google Scholar
• Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. doi: 10.11648/j.ajtas.20160501.11
   Google Scholar
• FAO. (2016). Street Food Vending in Accra, Ghana Field Survey Report. Food and Agricultural Organisation of of the United Nations. Retrieved from http://www.fao.org/3/a-i6369e.pdf
   Google Scholar
• Ferguson, C. J., Muñoz, M. E., & Medrano, M. R. (2012). Advertising influences on young children’s food choices and parental influence. The Journal of Pediatrics, 160(3), 452–455. https://doi.org/10.1016/j.jpeds.2011.08.023
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Glanz, K., Basil, M., Maibach, E., Goldberg, J., & Snyder, D. (1997). Why Americans eat what they do: Taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. Journal of the American Dietetic Association, 97(10SUPPL), 1118–1126. Retrieved from 10.1016/S0002-8223(98)00260-0
   Google Scholar
• Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have advantages for small sample size or non-normal data? Mis Quarterly, 36(3), 981–1001. doi: 10.2307/41703490 Retrieved from https://www.jstor.org/stable/41703490
   Web of Science ®Google Scholar
• Goyal, A., & Singh, N. P. (2007). Consumer perception about fast food in India: An exploratory study. British Food Journal, 109(2), 182–195. https://doi.org/10.1108/00070700710725536
   Web of Science ®Google Scholar
• Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
   Web of Science ®Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• Harrington, R. J., Ottenbacher, M. C., & Kendall, K. W. (2011). Fine-dining restaurant selection: Direct and moderating effects of customer attributes. Journal of Foodservice Business Research, 14(3), 272–289. https://doi.org/10.1080/15378020.2011.594388
   Google Scholar
• Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Herman, C. P., Polivy, J., Pliner, P., Vartanian, L. R., Herman, C. P., Polivy, J., … Vartanian, L. R. (2019). Modeling of food choice. Social Influences on Eating, (1), 57–78. https://doi.org/10.1007/978-3-030-28817-4_5
   Google Scholar
• Hyun, S. S., Kim, W., & Lee, M. J. (2011). The impact of advertising on patrons’ emotional responses, perceived value, and behavioral intentions in the chain restaurant industry: The moderating role of advertising-induced arousal. International Journal of Hospitality Management, 30(3), 689–700. https://doi.org/10.1016/j.ijhm.2010.10.008
   Web of Science ®Google Scholar
• Jekanowski, M. D., Binkley, J. K., & Eales, J. (2001). Convenience, accessibility, and the demand for fast food. Journal of Agricultural and Resource Economics, 26(1), 58–74. https://doi.org/10.2307/40987095
   Web of Science ®Google Scholar
• Jibril, A. B., Kwarteng, M. A., Chovancova, M., & Pilik, M. (2019). The impact of social media on consumer-brand loyalty: A mediating role of online based-brand community. Cogent Business & Management, 6(1), 1673640. https://doi.org/10.1080/23311975.2019.1673640
   Web of Science ®Google Scholar
• Jibril, A. B., Kwarteng, M. A., Pilik, M., Botha, E., & Osakwe, C. N. (2020). Towards understanding the initial adoption of online retail stores in a low internet penetration context: An exploratory work in Ghana. Sustainability, 12(3), 854. https://doi.org/10.3390/su12030854
   Web of Science ®Google Scholar
• Kang, J., Jun, J., & Arendt, S. W. (2015). Understanding customers’ healthy food choices at casual dining restaurants: Using the value-attitude-behavior model. International Journal of Hospitality Management, 48, 12–21. https://doi.org/10.1016/j.ijhm.2015.04.005
   Web of Science ®Google Scholar
• Kilinc, C. C., Semiz, M., Katircioglu, E., & Unusan, C. (2013). Choosing restaurant for lunch in campus area by the compromise decision via AHP Mustafa SEMIZ Elif KATIRCIOGLU Ça ğ atay UNUSAN. International Journal of Economic Perspectives, 7(2), 5–10.
   Google Scholar
• Kim, H. J., Park, J., Kim, M. J., & Ryu, K. (2013). Does perceived restaurant food healthiness matter? Its influence on value, satisfaction and revisit intentions in restaurant operations in South Korea. International Journal of Hospitality Management, 33(1), 397–405. https://doi.org/10.1016/j.ijhm.2012.10.010
   Web of Science ®Google Scholar
• Kim, W. G., Nee, N. G., & Kim, Y. (2009). Influence of institutional DINESERV on customer satisfaction, return intention, and word-of-mouth. International Journal of Hospitality Management, 28(1), 10–17. https://doi.org/10.1016/j.ijhm.2008.03.005
   Google Scholar
• Kivela, J. J. (1997). Restaurant marketing: Selection and segmentation in Hong Kong. International Journal of Contemporary Hospitality Management, 9(3), 116–123. doi: 10.1108/09596119710164650
   Google Scholar
• Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
   Web of Science ®Google Scholar
• Krook, D. (n.d.). How diners choose restaurants. TouchBristto. Retrieved from https://www.touchbistro.com/blog/how-diners-choose-restaurants
   Google Scholar
• Kwadzo, G., Dadzie, F., Osei-Asare, Y., & Kuwornu, J. K. M. (2013). Consumer preference for broiler meat in Ghana: A conjoint analysis approach. International Journal of Marketing Studies, 5(2), 2. https://doi.org/10.5539/ijms.v5n2p66
   Google Scholar
• Mensah, C., Agboka, J. A., & Azilla-Gbettor, E. M. (2017). Selection of traditional catering establishments in Ghana: Diners’ perspectives. Journal of Foodservice Business Research, 20(4), 410–431. https://doi.org/10.1080/15378020.2016.1215759
   Google Scholar
• Mensah, P., Yeboah-Manu, D., Owusu-Darko, K., & Ablordey, A. (2002). Street foods in Accra, Ghana: How safe are they? Bulletin of the World Health Organization, 80(7), 546–554. https://doi.org/10.1590/S0042-96862002000700006
   PubMed Web of Science ®Google Scholar
• Min, H., & Min, H. (2011). Benchmarking the service quality of fast-food restaurant franchises in the USA: A longitudinal study. Benchmarking: An International Journal, 18(2), 282–300. https://doi.org/10.1108/14635771111121711
   Google Scholar
• Neumark-Sztainer, D., Story, M., Perry, C., & Casey, M. A. (1999). Factors influencing food choices of adolescents: Findings from focus-group discussions with adolescents. Journal of the American Dietetic Association, 99(8), 929–937. https://doi.org/10.1016/S0002-8223(99)00222-9
   PubMed Web of Science ®Google Scholar
• Omari, R., Essegbey, G. O., Frempong, G., Jongerden, J., & Ruivenkamp, G. (2013). Fast food in the Greater Accra region of Ghana. Food Studies: An Interdisciplinary Journal, 1(4), 29–44. https://doi.org/10.18848/2160-1933/cgp/v01i04/40531
   Google Scholar
• Omari, R., & Frempong, G. (2016). Food safety concerns of fast food consumers in urban Ghana. Appetite, 98, 49–54. https://doi.org/10.1016/j.appet.2015.12.007
   PubMed Web of Science ®Google Scholar
• Park, C. (2004). Efficient or enjoyable? Consumer values of eating-out and fast food restaurant consumption in Korea. International Journal of Hospitality Management, 23(1), 87–94. https://doi.org/10.1016/j.ijhm.2003.08.001
   Google Scholar
• Peters, C., & Kontor-kwateng, J. (2016). Lowe Accra and the Pitch for KFC Ghana. Case Studies in Strategic Communication, 5, 235–248. ISSN 2167-1974. Retrieved from http://cssc.uscannenberg.org/wp-content/uploads/2016/10/v5art13.pdf
   Google Scholar
• Pettijohn, L. S., Pettijohn, C. E., & Luke, R. H. (1997). An evaluation of fast food restaurant satisfaction: Determinants, competitive comparisons and impact on future patronage. Journal of Restaurant & Foodservice Marketing, 2(3), 37–41. https://doi.org/10.1300/J061v02n03
   Google Scholar
• Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 885(879), 10–1037. doi: 10.1037/0021-9010.88.5.879
   Google Scholar
• Prabhavathi, Y., Kishore, N. T. K., & Kumar, M. R. (2014). Consumer preference and spending pattern in Indian fast food industry. International Journal of Scientific and Research Publications, 4(2), 5.
   Google Scholar
• Qu, H. (2017, March). Determinant factors and choice intention for Chinese restaurant dining : A multivariate approach. Journal of Restaurant & Foodservice Marketing, 2(2), 35–49. https://doi.org/10.1300/J061v02n02
   Google Scholar
• Shepherd, R. (1999). Social determinants of food choice. Proceedings of the Nutrition Society, 58(4), 807–812. https://doi.org/10.1017/S0029665199001093
   PubMed Web of Science ®Google Scholar
• Singam, G. D., Karunagaran, P., Pandiyan, T. S. D., Subramanian, T., & Govindan, S. (2014). Creative advertising impact on customer acceptance of fast food restaurant. Academic Research International, 5(5), 308–318. Retrieved from https://www.semanticscholar.org/paper/Creative-advertising-impact-on-customer-acceptance-Singam-Karunagaran/67330cf0113d1f2c6281f48bba232a889375eef1
   Google Scholar
• Sullivan, G. L. (2020). Music format e ects in radio advertising. 1–2. https://doi.org/10.1002/mar.4220070203
   Google Scholar
• Thornton, L. E., Bentley, R. J., & Kavanagh, A. M. (2009). Fast food purchasing and access to fast food restaurants: A multilevel analysis of VicLANES. International Journal of Behavioral Nutrition and Physical Activity, 6(1), 1–10. https://doi.org/10.1186/1479-5868-6-28
   PubMed Web of Science ®Google Scholar
• Urala, N., & Liisa, L. (2003). Reasons behind consumers’ functional food choices. Nutrition & Food Science, 33(4), 148–158. https://doi.org/10.1108/00346650310488499
   Google Scholar