The Online Food Delivery Services Sector Transformation in The Pandemic Scene

Öz

Aim: The present study aims to determine these factors that influence a consumer's OFD purchase decision. Methods: The data of the online research conducted on 419 people were analyzed using SEM. Results: According to the results of the study; the comfort zone and information factor have positive effect on the consumer's purchasing decision with the Covid-19 Pandemic. A negative relation was found between healthy menus and OFD services decision contrary to expectations. Conclusion: Contrary to previous literature support, the positive relationship assumptions between hygiene of OFD service & contactless delivery and purchasing decision of OFD services could not be supported statistically.

Anahtar Kelimeler

• Online food delivery (OFD)
• comfort zone
• Covid 19
• healthy menu
• contactless delivery
• information
• Hygiene of OFD service

Kaynakça

1. Adams, C. (2020, 4 Mayıs). Will the “Ghost Kitchen” trend Continue During and After the Covid-19?. Oracle Food and Beverage Blog. https://blogs.oracle.com/foodandbeverage/post/ghost-kitchen-trends
2. Affility. (2021, 21 Nisan). The rapid growth of cloud kitchen market during a pandemic. https://www.affilityconsulting.com/insights/the-rapid-growth-of-thecloud-kitchenmarket-during-a-pandemic/
3. Akgün, V. Ö. ve Zerenler, M. (2021). Determining the Purchasing Intentions of Consumers During The Pandemic: A Research on Online Food Orders. Journal of Current Researches on Social Sciences, 11(1), 129-146.
4. Alagöz, M. ve Hekimoğlu H. (2012). A study on TAM: analysis of customer attitudes in online food ordering system. Procedia – Social and Behavioral Sciences, 62, 1138-1143.
5. Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44.
6. Ali, S., Khalid, N., Javed, H. M. U., ve Islam, D. Md. Z. (2021). Consumer adoption of online food delivery ordering (OFDO) services in Pakistan: The impact of the Covid-19 Pandemic situation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 10.
7. Amin, M., Arefin, M.S., Alam, M.R., Ahammad, T., ve Hoque, M.R. (2021). Using mobile food delivery applications during Covid-19 pandemic: An extended model of planned behavior. Journal of Food Products Marketing, 27, 105–126.
8. Arı, E. ve Yılmaz, V. (2015). Üniversite Öğrencilerinin Online Yemek Siparişi Davranışlarının Teknoloji Kabul Modeliyle Araştırılması. Uluslararası Alanya İşletme Fakültesi Dergisi, 7(2), 65-84.

9. Armağan, E., ve Eskici, Y. (2019). Tüketicilerin online yemek servislerine karşı tutum, davranış ve satın alma niyetleri. Ekev Akademi Dergisi, (Icoaef), 39-75.
10. Ayyıldız, H. ve Cengiz, E. (2006). Pazarlama Modellerinin Testinde Kullanılabilecek Yapısal Eşitlik Modeli Üzerine Kavramsal Bir İnceleme. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 11(1), 63-84.
11. Bagla, R.K. ve Khan, J. (2017). Customers’ expectations and satisfaction with online food ordering portals, Prabandhan Indian Jornal of Management, 10, 31-44
12. Baytürk, N. (2021). Algılanan değer ve algılanan riskin internetten tatil satın alma kararına etkisi: Covid 19 Pandemi süreci örneği (Doctoral dissertation).
13. Belanche, D., Flavian, M. ve Rueda, A. (2020). Mobile apps use and WOM in the food delivery sector: The role of planned behavior, perceived security and customer lifestyle compatibility. Sustainability, 12(10).
14. Brewer, P., ve Sebby, A. G. (2021). The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic. International Journal of Hospitality Management, 94, 102777.
15. Bucak, T. ve Yiğit S. (2021). The future of the chef occupation and the food and beverage sector after the Covid-19 out break: Opinions of Turkish chefs. International Journal of Hospitality Management, 92, 102682.
16. Cai, R., ve Leung, X. Y. (2020). Mindset matters in purchasing online food deliveries during the pandemic: The application of construal level and regulatory focus theories. International Journal of Hospitality Management, 91.
17. Chai, L. T., ve Yat, D. N. C. (2019). Online food delivery services: Making food delivery the new normal. Journal of Marketing advances and Practices, 1(1), 62-77.
18. Chandrasekhar, N., Gupta, S., ve Nanda, N. (2019). Food Delivery Services and Customer Preference: A Comparative Analysis. Journal of Food Service Business Research, 1–12.
19. Chen, H.-S., Liang, C.-H., Liao, S.-Y., ve Kuo, H.-Y. (2020). Consumer Attitudes and Purchase Intention toward Food Delivery Platform Services. Sustainability, s. 1-18.
20. Cho, M., Bonn, M.A. ve Li, J. (2018). Diffrences in perceptions about food delivrey apss between single-person and multi-person households. International Journal of Hospitality Managent. 11
21. Chotigo, J. ve Kadono, Y. (2021). Comparative Analysis of Key Factors Encouraging Food Delivery App Adoption Before and Duringthe COVID-19 Pandemic in Thailand. Sustainability, 13(8), 4088.
22. Civelek, M. E. (2018). Essentials of structural equation modeling. Essentials of Structural Equation Modeling
23. Cömert, M. ve Yeşilyurt, B. (2021). Covid 19 Salgının Tüketici Davranışları Üzerinde Neden Olduğu Değişikliklerin Yiyicek İçecek İşletmelerine Etksi. Journal of Tourism and Gastronomy Students, 9(3), 1622-1638
24. Deepika, R. ve Arun. C. J. (2021). The ımpact of fear of Covid on online food delivery. Academy of Marketing Studies Journal; Arden, 25(5), 1-12.
25. Demirdelen Alrawadieh, D. ve Çifçi, İ. (2021). Covid-19 Salgını Sonrası Yiyecek ve İçecek Sektörü: Mutfak Şeflerinin Perspektiflerine Yönelik Bir Araştırma. Güncel Turizm Araştırmaları Dergisi, 5(2), 439-454
26. Dilek, Ö. ve Öztürk, C. (2021). Covid-19 sürecinde online yemek siparişlerinde teknolojinin kabulü. Üçüncü Sektör Sosyal Ekonomi, 56(3), 1313-1332.
27. Fanelli, R. M. (2021). Changes in the food-related behaviour of ıtalian consumers during the Covid-19 pandemic. Foods, 10(1), 169.
28. Galanakis, C. M. (2020). The food systems in the era of the coronavirus (Covid-19) pandemic crisis. Foods, 9(4), 523.
29. Gavilan, D., Balderas-Cejudo, A., Fernández-Lores, S., ve Martinez-Navarro, G. (2021). Innovation in online food delivery: Learnings from COVID-19. International journal of gastronomy and food science, 24, 100330.
30. Güney, O. I., ve Sangün, L. (2021). How Covid-19 affects individuals' food consumption behaviour: a consumer survey on attitudes and habits in Turkey. British Food Journal.
31. Ha, J., Park, K. ve Park, J. (2016). Which restaurant should I choose? Herd behavior in the restaurant industry. Journal of Foodservice Business Research.
32. Hacıalioğlu, A.B. ve Sağlam, M. (2020). Covid-19 Pandemi Sürecinde Tüketici Davranışları ve E-Ticaretteki Değişimler. Medya ve Kültürel Çalışmalar Dergisi, 16-29.
33. Hair, J., Hult, G., Ringle, C., ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling PLS-SEM. Los Angeles: SAGE.
34. Hall, M. C., Prayag, G., Fieger, P., ve Dyason, D. (2020). Beyond panic buying: consumption displacement and COVID-19. Journal of Service Management, 32(1), 113-128.
35. Hong, C., Choi, H. H., Choi, E. K. C., ve Joung, H. W. D. (2021). Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic. Journal of Hospitality and Tourism Management, 48, 509-518.
36. Hussey, A. (2021), The global state of food service delivery. https://kerry.com/insights/ kerrydigest/2020/global-foodservice-delivery
37. Iybar, B. (2020, 9 Temmuz). Hayalet mutfak kavramı pandemi sonrası restoran kültürünü değiştiriyor. MediaTrend: https://mediatrend.mediamarkt.com.tr
38. İslamoğlu, A. ve Alnıaçık, Ü. (2019) Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Beta Yayınevi.
39. Jun, K., Yoon, B., Lee, S., ve Lee, D.S. (2022). Factors influencing customer decisions to use online food delivery service during the Covid-19 pandemic. Foods Jounrnal, 11(1).
40. Kapoor, A.P. ve Vij, M. (2018). Technology at the dinner table: Ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342-3514.
41. Kılıçalp, M. ve Özdoğan, O. N. (2019). Paket yemek siparişlerinde çevrimiçi aracı kullanan tüketici davranışlarının genişletilmiş teknoloji kabul modeliyle araştırılması. International Journal of Contemporary Tourisim Research, 3(2), 148-163.
42. Kim, R. Y. (2020). The impact of Covid-19 on consumers: Preparing for digital sales. IEEE Engineering Management Review, 48(3), 212-218
43. Kimes, S.E. (2011). Customer perceptions of electronic food ordering. Cornell Hosp. Rep. 11(10), 6–15.
44. Kirk, C. P. ve Rifkin, L. S. (2020). I’ll trade you diamonds for toilet paper: Consumer reacting, coping and adapting behaviors in the Covid-19 pandemic. Journal of Business Research, 117, 124-131.
45. Kurtulmuşoğlu, F. B., ve Atalay, K. D. (2019). The effects of consumer confusion on hotel brand loyalty: an application of linguistic nonlinear regression model in the hospitality sector. Soft Computing, 24(6), 4269-4281.
46. Laato, S., Islam, A. N., Farooq, A., ve Dhir, A. (2020). Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services, (57), 1-12.
47. Lee, S. W., Sung, H. J., ve Jeon, H. M. (2019). Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. Sustainability, 11.
48. Liu, W., Batra, R., ve Wang, H. (2017). Product touch and consumers online and offline buying: the role of mental represantaion. J. Retail, 93(3), 673-684.
49. Mehrolia, S., Alagarsamy, S., ve Solaikutty, V.M. (2020). Customers response to online food delivery services during Covid-19 outbreak using binary logistic regression. International Journal of Consumer Studies, 45, 396-408.
50. Muangmee, C., Kot, S., Meekaewkunchorn N., Kassakorn N. ve Khalid, B. (2021). Factors Determining the Behavioral Intention of Using Food Delivery Apps during COVID-19 Pandemics. Theoretical and Applied Electronic Commerce Research, 16(5), 1297-1310.
51. Papuççiyan, A. (2020, Eylül 28). Yemek siparişi için lüks alternatif: Fuudy. Webrazzi: https://webrazzi.com/2020/09/28/yemek-siparisi-icin-luks-alternatif-fuudy/
52. Peters, K., ve Remaud, P. H. (2020). Factors influencing consumer menu-item selection in a restaurant context. Food Quality and Preference, 82,
53. Peters, T., Işık, Ö., Tona, O., ve Popovič, A. (2016). How system quality influences mobile BI use: the mediating role of engagement. Int. J. Inform. Manag. 36(5), 773–783.
54. Prasetyo, Y., Tanto, H., Mariyanto, M., Hanjaya, C., Young, M.N., Persada, S.F., Miraja, B.A., Redi, A.A.N.P. (2021). Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relationwith Open Innovation. Journal Open Innovation: Technology Market and Complexity, 7.
55. Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283.
56. Tatar, Ç. (2015). Structural equation modeling (SEM) and its applications. Unpublished Master’s Thesis. Izmir: Dokuz Eylül University, Natural and Applied Sciences.
57. Tomaş, M. (2014). Paket Servis Müşterilerinin Sipariş Vermede E-Aracı Kullanma Nedenleri Üzerine Keşifsel Bir Araştırma: yemeksepeti.com Örneği. İnternet Uygulamaları ve Yöntemleri, 5(2), 29-41.
58. Tran, B. X., Nguyen, H. T., Le, H. T., Latkin, C. A., Pham, H. Q., Vu, L. G., ... & Ho, R. (2020). Impact of Covid-19 on economic well-being and quality of life of the Vietnamese during the national social distancing. Frontiers in psychology. 11:565153.
59. Tribhuvan, A. (2020). A study on consumer perception of food apps. International Journal Of Advance Research And Innovative Ideas In Education, 6(4), 208-243.
60. Wang, Y.S., Tseng, T. H., Wang, W.-T., Shih, Y.-W., ve Chan, P.-Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19–30.
61. Wang, X., Wong, Y. D., Liu, F., ve Yuen, K. F. (2021). A push–pull–mooringview on technology-dependentshoppingundersocialdistancing: When technology needs meet health concerns. Technological Forecasting & Social Change, 173.
62. WHO. (2020a). Timeline Covid-19. 25 Aralık 2021 https://www.who.int/newsroom/detail/27-04- 2020-who-timeline---covid-19
63. Yeo, V. C. S., Goh, S. K., ve Rezaei, S. (2017). Consumer experiences, attitude and behavioural intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162.
64. Yuen, K. F., Wang, X., Ma, F., ve Li, K. X. (2020). The psychological causes of panic buying following a health crisis. International journal of environmental research and public health, 17(10), 3513.
65. Zhao, Y. ve Bacao F. (2020). What factors determinig customer continuingly using food delivery apps during 2019 novel coranavirus pandemic period? International Journal of Hospitality Management, 91.
66. Zwanka, R. ve Buff, C. (2021) COVID-19 Generation: A Conceptual Framework of the Consumer Behavioral Shifts to Be Caused by the COVID-19 Pandemic. Journal of International Consumer Marketing, 33(1), 58-6