The impact of user emotions on intentions to continue using online food delivery applications: the influence of application quality attributes

References

• Abbas, H. A., & Hamdy, H. I. (2015). Determinants of continuance intention factor in Kuwait Communication Market: Case Study of zain-kuwait. Computers in Human Behavior, 49, 648–20. https://doi.org/10.1016/j.chb.2015.03.035
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1016/j.ijinfomgt.2019.04.008
   Web of Science ®Google Scholar
• Amin, M. A., Arefin, M. S., Alam, M. R., Ahammad, T., & Hoque, M. R. (2021a). Using mobile food delivery applications during COVID-19 pandemic: An extended model of planned behavior. Journal of Food Products Marketing, 27(2), 105–126. https://doi.org/10.1080/10454446.2021.1906817
   Web of Science ®Google Scholar
• Amin, M. A., Arefin, M. S., Sultana, N., Islam, M. R., Jahan, I., & Akhtar, A. (2021b). Evaluating the customers’ dining attitudes, e-satisfaction, and continuance intention toward mobile food ordering apps (MFOAs): Evidence from Bangladesh. European Journal of Management and Business Economics, 30(2), 211–229. https://doi.org/10.1108/EJMBE-04-2020-0066
   Web of Science ®Google Scholar
• Andrade, C. (2021). The inconvenient truth about convenience and purposive samples. Indian Journal of Psychological Medicine, 43(1), 86–88. https://doi.org/10.1177/0253717620977000
   PubMedGoogle Scholar
• Azizul, J., Albattat, A., Shahriman, I. A., & Irfan, K. F. (2019). The relationship between food delivery apps attributes towards customer perceived value among young working adults in Shah Alam. International Journal of Scientific and Technology Research, 8(11), 2478–2482.
   Google Scholar
• Bhawna, & Gobind. (2015). Research methodology and approaches. IOSR Journal of Research & Method in Education, 5(3), 48–51. https://doi.org/10.9790/7388-05344851
   Google Scholar
• Bi, N., Yin, C.-Y., & Chen, Y. (2020). A bittersweet experience! The effect of mixed emotions on business tourists’ revisit intentions. Journal of Travel & Tourism Marketing, 37(6), 695–710. https://doi.org/10.1080/10548408.2020.1795047
   Web of Science ®Google Scholar
• Buvaneswari, P. S., Swetha, M. S., Ragetha, T., & Nisha, D. (2021). Technology at doorstep: Consumer perception on food delivery aggregators. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2021.01.735
   Google Scholar
• Chang, S.-H., Chih, W.-H., Liou, D.-K., & Hwang, L.-R. (2014). The influence of web aesthetics on customers’ pad. Computers in Human Behavior, 36, 168–178. https://doi.org/10.1016/j.chb.2014.03.050
   Web of Science ®Google Scholar
• Chen, -C.-C., & Yao, J.-Y. (2018). What drives impulse buying behaviors in a mobile auction? The perspective of the stimulus-organism-response model. Telematics and Informatics, 35(5), 1249–1262. https://doi.org/10.1016/j.tele.2018.02.007
   Web of Science ®Google Scholar
• Cho, M., Bonn, M. A., & Li, J. (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management, 77, 108–116. https://doi.org/10.1016/j.ijhm.2018.06.019
   Web of Science ®Google Scholar
• Cho, N., & Park, S. (2001). Development of electronic commerce user consumer satisfaction index (ECUSI) for internet shopping. Industrial Management & Data Systems, 101(8), 400–406. https://doi.org/10.1108/EUM0000000006170
   Web of Science ®Google Scholar
• Driediger, F., & Bhatiasevi, V. (2019). Online grocery shopping in Thailand: Consumer acceptance and usage behavior. Journal of Retailing and Consumer Services, 48, 224–237. https://doi.org/10.1016/j.jretconser.2019.02.005
   Web of Science ®Google Scholar
• Forbes. (2021). What is the difference between e-commerce and mobile commerce? Accessed September 24, 2021, https://www.forbes.com/sites/quora/2018/05/25/what-is-the-difference-between-e-commerce-and-mobile-commerce/?sh=608c41bc4c6d
   Google Scholar
• Forman, J., & Damschroder, L. (2007). Qualitative content analysis. In L. Jacoby & L. Siminoff (Eds.), Empirical methods for bioethics: APrimer (Advances in bioethics, Volume 11) (pp. 39–62). Emerald Group Publishing Limited.
   Google Scholar
• Gavilan, D., Balderas-Cejudo, A., Fernández-Lores, S., & Martinez-Navarro, G. (2021). Innovation in online food delivery: Learnings from COVID-19. International Journal of Gastronomy and Food Science, 24, 100330. https://doi.org/10.1016/j.ijgfs.2021.100330
   PubMed Web of Science ®Google Scholar
• Gojek. (2021). Gojek super app: Ojek Online, Taksi Online, Pesan Makan, Kirim Barang, Pembayaran. Accessed August 19, 2021, https://www.gojek.com/id-id/
   Google Scholar
• Grab, I. D. (2021). Grab. Satu aplikasi semua bisa. Grab Accessed August 19, 2021, https://www.grab.com/id/
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th) ed.). Pearson Prentice Hall.
   Google Scholar
• Hair, J. F., Gabriel, M. L., & Patel, V. K. (2014). AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Revista Brasileira de Marketing, 13(2), 44–55. https://doi.org/10.5585/remark.v13i2.2718
   Google Scholar
• Hall, M., Elliott, K., & Meng, J. (2017). Using the PAD (pleasure, arousal, and dominance) model to explain Facebook attitudes and use intentions. The Journal of Social Media in Society, 6, 144–169.
   Google Scholar
• Hsieh, S. H., Lee, C. T., & Tseng, T. H. (2021). Branded app atmospherics: Examining the effect of pleasure–arousal–dominance in brand relationship building. Journal of Retailing and Consumer Services, 60, 102482. https://doi.org/10.1016/j.jretconser.2021.102482
   Web of Science ®Google Scholar
• Hsieh, H., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687
   PubMed Web of Science ®Google Scholar
• Huang, M., Ali, R., & Liao, J. (2017). The effect of user experience in online games on word of mouth: A pleasure-arousal-dominance (PAD) model perspective. Computers in Human Behavior, 75, 329–338. https://doi.org/10.1016/j.chb.2017.05.015
   Web of Science ®Google Scholar
• Jun, K., Yoon, B., Lee, S., & Lee, D. S. (2021). Factors influencing customer decisions to use online food delivery service during the COVID-19 pandemic. Foods, 11(1), 64. https://doi.org/10.3390/foods11010064
   PubMed Web of Science ®Google Scholar
• Kamboj, S., Sarmah, B., Gupta, S., & Dwivedi, Y. (2018). Examining branding co-creation in brand communities on social media: Applying the paradigm of stimulus-organism-response. International Journal of Information Management, 39, 169–185. https://doi.org/10.1016/j.ijinfomgt.2017.12.001
   Web of Science ®Google Scholar
• Kang, J.-W., & Namkung, Y. (2019). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189–198. https://doi.org/10.1016/j.ijhm.2018.10.011
   Web of Science ®Google Scholar
• Kapoor, A. P., & Vij, M. (2018). Technology at the dinner table: Ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342–351. https://doi.org/10.1016/j.jretconser.2018.04.001
   Web of Science ®Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd) ed.). Guilford Press.
   Google Scholar
• Kumar, S., Dhir, A., Talwar, S., Chakraborty, D., & Kaur, P. (2021a). What drives brand love for natural products? The moderating role of household size. Journal of Retailing and Consumer Services, 58, 102329. https://doi.org/10.1016/j.jretconser.2020.102329
   Web of Science ®Google Scholar
• Kumar, S., Jain, A., & Hsieh, J.-K. (2021). Impact of apps aesthetics on revisit intentions of food delivery apps: The mediating role of pleasure and arousal. Journal of Retailing and Consumer Services, 63, 102686. https://doi.org/10.1016/j.jretconser.2021.102686
   Web of Science ®Google Scholar
• Kumar, S., Murphy, M., Talwar, S., Kaur, P., & Dhir, A. (2021b). What drives brand love and purchase intentions toward the local food distribution system? A study of social media-based Reko (fair consumption) groups. Journal of Retailing and Consumer Services, 60, 102444. https://doi.org/10.1016/j.jretconser.2021.102444
   Web of Science ®Google Scholar
• Kumar, S., & Shah, A. (2021). Revisiting food delivery apps during COVID-19 pandemic? Investigating the role of emotions. Journal of Retailing and Consumer Services, 62, 102595. https://doi.org/10.1016/j.jretconser.2021.102595
   Web of Science ®Google Scholar
• Liu, W., Batra, R., & Wang, H. (2017b). Product touch and consumers’ online and offline buying: The role of mental representation. Journal of Retailing, 93(3), 369–381. https://doi.org/10.1016/j.jretai.2017.06.003
   Web of Science ®Google Scholar
• Liu, F., Xiao, B., Lim, E. T. K., & Tan, C.-W. (2017a). The art of appeal in electronic commerce. Internet Research, 27(4), 752–771. https://doi.org/10.1108/intr-09-2016-0280
   Web of Science ®Google Scholar
• Li, Y.-M., & Yeh, Y.-S. (2010). Increasing trust in mobile commerce through design aesthetics. Computers in Human Behavior, 26(4), 673–684. https://doi.org/10.1016/j.chb.2010.01.004
   Web of Science ®Google Scholar
• Mehrabian, A., & Russell, J. A. (1976). An approach to environmental psychology. M.I.T. Press.
   Google Scholar
• Miniero, G., Rurale, A., & Addis, M. (2014). Effects of arousal, dominance, and their interaction on pleasure in a cultural environment. Psychology & Marketing, 31(8), 628–634. https://doi.org/10.1002/mar.20723
   Web of Science ®Google Scholar
• Nielsen. (2019). Understanding Indonesia’s Online Food Delivery Market. Accessed July 16, 2021, https://mobitekno.com/read/2019/20/09/lembaga-survei-nielsen-gofood-pemimpin-untuk-layanan-pesan-antar-makanan-di-indonesia
   Google Scholar
• Nilashi, M., Jannach, D., Ibrahim, O. B., & Ithnin, N. (2015). Clustering- and regression-based multi-criteria collaborative filtering with incremental updates. Information Sciences, 293, 235–250. https://doi.org/10.1016/j.ins.2014.09.012
   Web of Science ®Google Scholar
• Nuryakin. (2016). Effects of convenience online shopping and satisfaction on repeat-purchase intention among students of higher institutions in Indonesia. Journal of Internet Banking and Commerce, 21(2), 1–19.
   Google Scholar
• O’Cathain, A., Murphy, E., & Nicholl, J. (2007). Why, and how, mixed methods research is undertaken in health services research in England: A mixed methods study. BMC Health Service Research, 7(1), 85. https://doi.org/10.1186/1472-6963-7-85
   PubMed Web of Science ®Google Scholar
• Peng, C., & Kim, Y. G. (2014). Application of the stimuli-organism-response (S-O-R) framework to online shopping behavior. Journal of Internet Commerce, 13(3–4), 159–176. https://doi.org/10.1080/15332861.2014.944437
   Google Scholar
• Pigatto, G., Machado, J. G., Negreti, A. D., & Machado, L. M. (2017). Have you chosen your request? Analysis of online food delivery companies in Brazil. British Food Journal, 119(3), 639–657. https://doi.org/10.1108/bfj-05-2016-0207
   Web of Science ®Google Scholar
• Ramkumar, B., & Jin, E. (2019). Examining pre-purchase intention and post-purchase consequences of international online outshopping (IOO): The moderating effect of E-tailer’s country image. Journal of Retailing and Consumer Services, 49, 186–197. https://doi.org/10.1016/j.jretconser.2019.03.021
   Web of Science ®Google Scholar
• Ray, A., & Bala, P. K. (2021). User generated content for exploring factors affecting intention to use travel and food delivery services. International Journal of Hospitality Management, 92, 102730. https://doi.org/10.1016/j.ijhm.2020.102730
   Web of Science ®Google Scholar
• Ray, A., Dhir, A., Bala, P. K., & Kaur, P. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. Journal of Retailing and Consumer Services, 51, 221–230. https://doi.org/10.1016/j.jretconser.2019.05.025
   Web of Science ®Google Scholar
• Reogma. (2020). Online food delivery market in Indonesia will reach USD 3.36 billion by 2025. Accessed December 21, 2021, https://www.reogma.com/industry-reports/online-food-delivery-market-in-indonesia-will-reach-usd-3-36-billion-by-2025/
   Google Scholar
• Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47, 262–273. https://doi.org/10.1016/j.ijinfomgt.2018.09.017
   Web of Science ®Google Scholar
• Sachdev, S., & Verma, H. (2004). Relative importance of service quality dimensions: A multisectoral study. Journal of Service Research, 4(1), 94–116.
   Google Scholar
• Sharma, R., Dhir, A., Talwar, S., & Kaur, P. (2021). Over-ordering and food waste: The use of food delivery apps during a pandemic. International Journal of Hospitality Management, 96, 102977. https://doi.org/10.1016/j.ijhm.2021.102977
   Web of Science ®Google Scholar
• Shopee Indonesia. (2021). ShopeeFood: Diskon 50% & gratis ongkir sepuasnya. Accessed August 19, 2021, https://shopee.co.id/m/shopeefood
   Google Scholar
• Statista. (2020a). Combined app store & google play app downloads 2020. Accessed August 26, 2021, https://www.statista.com/statistics/604343/number-of-apple-app-store-and-google-play-app-downloads-worldwide/
   Google Scholar
• Statista. (2020b). eServices report 2019 - online food delivery. Accessed September 24, 2021, https://www.statista.com/study/40457/food-delivery/.
   Google Scholar
• Statista. (2020c). Global mobile retail commerce revenue 2020. Accessed July 16, 2021, https://www.statista.com/statistics/806323/mobile-retail-commerce-revenue-worldwide/
   Google Scholar
• Statista. (2020d). Online food delivery revenue by segment Indonesia. Accessed December 21, 2021, https://www.statista.com/forecasts/1227079/revenue-online-food-delivery-indonesia-by-segment
   Google Scholar
• Taguchi, N. (2018). Description and explanation of pragmatic development: Quantitative, qualitative, and mixed methods research. System, 75, 23–32. https://doi.org/10.1016/j.system.2018.03.010
   Web of Science ®Google Scholar
• Taufik, T., Masjono, A., Kurniawan, I., & Karno, K. (2020). Peranan platform food delivery service dalam mendukung marketing mix UKM di masa new normal. Jurnal Pengembangan Wiraswasta, 22(2), 121. https://doi.org/10.33370/jpw.v22i02.426
   Google Scholar
• Tsang, S., Royse, C. F., & Terkawi, A. S. (2017). Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi Journal of Anaesthesia, 11(Suppl 1), S80–S89. https://doi.org/10.4103/sja.SJA_203_17
   PubMedGoogle Scholar
• Uzir, M. U., Al Halbusi, H., Thurasamy, R., Thiam Hock, R. L., Aljaberi, M. A., Hasan, N., & Hamid, M. (2021). The effects of service quality, perceived value and trust in home delivery service personnel on customer satisfaction: Evidence from a developing country. Journal of Retailing and Consumer Services, 63, 102721. https://doi.org/10.1016/j.jretconser.2021.102721
   Web of Science ®Google Scholar
• Vasileiou, K., Barnett, J., Thorpe, S., & Young, T. (2018). Characterising and justifying sample size sufficiency in interview-based studies: Systematic analysis of qualitative health research over a 15-year period. BMC Medical Research Methodology, 18(1), 148. https://doi.org/10.1186/s12874-018-0594-7
   PubMed Web of Science ®Google Scholar
• Yang, K., Kim, H. J. M., & Zimmerman, J. (2020). Emotional branding on fashion brand websites: Harnessing the pleasure-arousal-dominance (P-A-D) model. Journal of Fashion Marketing and Management: An International Journal, 24(4), 555–570. https://doi.org/10.1108/JFMM-03-2019-0055
   Google Scholar
• Yeo, V. C., Goh, S.-K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162. https://doi.org/10.1016/j.jretconser.2016.12.013
   Web of Science ®Google Scholar
• Yeo, S. F., Tan, C. L., Teo, S. L., & Tan, K. H. (2021). The role of food apps servitization on repurchase intention: A study of Foodpanda. International Journal of Production Economics, 234, 108063. https://doi.org/10.1016/j.ijpe.2021.108063
   Web of Science ®Google Scholar
• Zanetta, L. D., Hakim, M. P., Gastaldi, G. B., Seabra, L., Rolim, P. M., Nascimento, L., Medeiros, C. O., & da Cunha, D. T. (2021). The use of food delivery apps during the COVID-19 pandemic in Brazil: The role of solidarity, perceived risk, and regional aspects. Food Research International, 149, 110671. https://doi.org/10.1016/j.foodres.2021.110671
   PubMed Web of Science ®Google Scholar
• Zarantonello, L., & Schmitt, B. H. (2010). Using the brand experience scale to profile consumers and predict consumer behaviour. Journal of Brand Management, 17(7), 532–540. https://doi.org/10.1057/bm.2010.4
   Google Scholar
• Zhai, X., Wang, M., & Ghani, U. (2019). The sor (stimulus-organism-response) paradigm in online learning: An empirical study of students’ knowledge hiding perceptions. Interactive Learning Environments, 28(5), 586–601. https://doi.org/10.1080/10494820.2019.1696841
   Web of Science ®Google Scholar
• Zhang, X., Chen, Z., & Jin, H. (2020). The effect of tourists’ autobiographical memory on revisit intention: Does nostalgia promote revisiting? Asia Pacific Journal of Tourism Research, 26(2), 147–166. https://doi.org/10.1080/10941665.2020.1718171
   Web of Science ®Google Scholar
• Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 Novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 102683. https://doi.org/10.1016/j.ijhm.2020.102683
   PubMed Web of Science ®Google Scholar