Research Article
BibTex RIS Cite
Year 2023, Volume: 8 Issue: 3, 259 - 281, 28.11.2023

Abstract

References

  • 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
  • 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/
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Armağan, E., ve Eskici, Y. (2019). Tüketicilerin online yemek servislerine karşı tutum, davranış ve satın alma niyetleri. Ekev Akademi Dergisi, (Icoaef), 39-75.
  • 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.
  • Bagla, R.K. ve Khan, J. (2017). Customers’ expectations and satisfaction with online food ordering portals, Prabandhan Indian Jornal of Management, 10, 31-44
  • Baytürk, N. (2021). Algılanan değer ve algılanan riskin internetten tatil satın alma kararına etkisi: Covid 19 Pandemi süreci örneği (Doctoral dissertation).
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • Civelek, M. E. (2018). Essentials of structural equation modeling. Essentials of Structural Equation Modeling
  • 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
  • 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.
  • 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
  • Dilek, Ö. ve Öztürk, C. (2021). Covid-19 sürecinde online yemek siparişlerinde teknolojinin kabulü. Üçüncü Sektör Sosyal Ekonomi, 56(3), 1313-1332.
  • Fanelli, R. M. (2021). Changes in the food-related behaviour of ıtalian consumers during the Covid-19 pandemic. Foods, 10(1), 169.
  • Galanakis, C. M. (2020). The food systems in the era of the coronavirus (Covid-19) pandemic crisis. Foods, 9(4), 523.
  • 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.
  • 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.
  • Ha, J., Park, K. ve Park, J. (2016). Which restaurant should I choose? Herd behavior in the restaurant industry. Journal of Foodservice Business Research.
  • Hacıalioğlu, A.B. ve Sağlam, M. (2020). Covid-19 Pandemi Sürecinde Tüketici Davranışları ve E-Ticaretteki Değişimler. Medya ve Kültürel Çalışmalar Dergisi, 16-29.
  • Hair, J., Hult, G., Ringle, C., ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling PLS-SEM. Los Angeles: SAGE.
  • 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.
  • 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.
  • Hussey, A. (2021), The global state of food service delivery. https://kerry.com/insights/ kerrydigest/2020/global-foodservice-delivery
  • Iybar, B. (2020, 9 Temmuz). Hayalet mutfak kavramı pandemi sonrası restoran kültürünü değiştiriyor. MediaTrend: https://mediatrend.mediamarkt.com.tr
  • İslamoğlu, A. ve Alnıaçık, Ü. (2019) Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Beta Yayınevi.
  • 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).
  • 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.
  • 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.
  • Kim, R. Y. (2020). The impact of Covid-19 on consumers: Preparing for digital sales. IEEE Engineering Management Review, 48(3), 212-218
  • Kimes, S.E. (2011). Customer perceptions of electronic food ordering. Cornell Hosp. Rep. 11(10), 6–15.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Papuççiyan, A. (2020, Eylül 28). Yemek siparişi için lüks alternatif: Fuudy. Webrazzi: https://webrazzi.com/2020/09/28/yemek-siparisi-icin-luks-alternatif-fuudy/
  • Peters, K., ve Remaud, P. H. (2020). Factors influencing consumer menu-item selection in a restaurant context. Food Quality and Preference, 82,
  • 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.
  • 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.
  • Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283.
  • Tatar, Ç. (2015). Structural equation modeling (SEM) and its applications. Unpublished Master’s Thesis. Izmir: Dokuz Eylül University, Natural and Applied Sciences.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • WHO. (2020a). Timeline Covid-19. 25 Aralık 2021 https://www.who.int/newsroom/detail/27-04- 2020-who-timeline---covid-19
  • 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.
  • 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.
  • 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.
  • 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

The Online Food Delivery Services Sector Transformation in The Pandemic Scene

Year 2023, Volume: 8 Issue: 3, 259 - 281, 28.11.2023

Abstract

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.

References

  • 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
  • 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/
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Armağan, E., ve Eskici, Y. (2019). Tüketicilerin online yemek servislerine karşı tutum, davranış ve satın alma niyetleri. Ekev Akademi Dergisi, (Icoaef), 39-75.
  • 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.
  • Bagla, R.K. ve Khan, J. (2017). Customers’ expectations and satisfaction with online food ordering portals, Prabandhan Indian Jornal of Management, 10, 31-44
  • Baytürk, N. (2021). Algılanan değer ve algılanan riskin internetten tatil satın alma kararına etkisi: Covid 19 Pandemi süreci örneği (Doctoral dissertation).
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • Civelek, M. E. (2018). Essentials of structural equation modeling. Essentials of Structural Equation Modeling
  • 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
  • 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.
  • 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
  • Dilek, Ö. ve Öztürk, C. (2021). Covid-19 sürecinde online yemek siparişlerinde teknolojinin kabulü. Üçüncü Sektör Sosyal Ekonomi, 56(3), 1313-1332.
  • Fanelli, R. M. (2021). Changes in the food-related behaviour of ıtalian consumers during the Covid-19 pandemic. Foods, 10(1), 169.
  • Galanakis, C. M. (2020). The food systems in the era of the coronavirus (Covid-19) pandemic crisis. Foods, 9(4), 523.
  • 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.
  • 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.
  • Ha, J., Park, K. ve Park, J. (2016). Which restaurant should I choose? Herd behavior in the restaurant industry. Journal of Foodservice Business Research.
  • Hacıalioğlu, A.B. ve Sağlam, M. (2020). Covid-19 Pandemi Sürecinde Tüketici Davranışları ve E-Ticaretteki Değişimler. Medya ve Kültürel Çalışmalar Dergisi, 16-29.
  • Hair, J., Hult, G., Ringle, C., ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling PLS-SEM. Los Angeles: SAGE.
  • 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.
  • 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.
  • Hussey, A. (2021), The global state of food service delivery. https://kerry.com/insights/ kerrydigest/2020/global-foodservice-delivery
  • Iybar, B. (2020, 9 Temmuz). Hayalet mutfak kavramı pandemi sonrası restoran kültürünü değiştiriyor. MediaTrend: https://mediatrend.mediamarkt.com.tr
  • İslamoğlu, A. ve Alnıaçık, Ü. (2019) Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Beta Yayınevi.
  • 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).
  • 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.
  • 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.
  • Kim, R. Y. (2020). The impact of Covid-19 on consumers: Preparing for digital sales. IEEE Engineering Management Review, 48(3), 212-218
  • Kimes, S.E. (2011). Customer perceptions of electronic food ordering. Cornell Hosp. Rep. 11(10), 6–15.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Papuççiyan, A. (2020, Eylül 28). Yemek siparişi için lüks alternatif: Fuudy. Webrazzi: https://webrazzi.com/2020/09/28/yemek-siparisi-icin-luks-alternatif-fuudy/
  • Peters, K., ve Remaud, P. H. (2020). Factors influencing consumer menu-item selection in a restaurant context. Food Quality and Preference, 82,
  • 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.
  • 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.
  • Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283.
  • Tatar, Ç. (2015). Structural equation modeling (SEM) and its applications. Unpublished Master’s Thesis. Izmir: Dokuz Eylül University, Natural and Applied Sciences.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • WHO. (2020a). Timeline Covid-19. 25 Aralık 2021 https://www.who.int/newsroom/detail/27-04- 2020-who-timeline---covid-19
  • 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.
  • 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.
  • 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.
  • 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
There are 66 citations in total.

Details

Primary Language English
Subjects Health Policy
Journal Section Makaleler
Authors

Şahika Tuğba Üçkol This is me 0000-0002-2988-0430

Feride Bahar Işın This is me 0000-0001-8517-0540

Kumru Didem Atalay This is me 0000-0002-9021-3565

Publication Date November 28, 2023
Submission Date August 30, 2023
Acceptance Date November 23, 2023
Published in Issue Year 2023 Volume: 8 Issue: 3

Cite

APA Üçkol, Ş. T., Işın, F. B., & Atalay, K. D. (2023). The Online Food Delivery Services Sector Transformation in The Pandemic Scene. International Journal of Health Management and Tourism, 8(3), 259-281.