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Research Article

What will make Generation Y and Generation Z to continue to use online food delivery services: a uses and gratifications theory perspective

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References

  • Agrawal, D. K. (2022). Determining behavioural differences of Y and Z generational cohorts in online shopping. International Journal of Retail & Distribution Management, 50(7), 880–895. https://doi.org/10.1108/IJRDM-12-2020-0527
  • Ahn, J., & Kwon, J. (2021). Examining the relative influence of multidimensional customer service relationships in the food delivery application context. International Journal of Contemporary Hospitality Management, 33(3), 912–928. https://doi.org/10.1108/IJCHM-09-2020-0973
  • Akdim, K., Casaló, L. V., & Flavián, C. (2022). The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. Journal of Retailing and Consumer Services, 66, 102888. https://doi.org/10.1016/j.jretconser.2021.102888
  • 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
  • Al Amin, M., Arefin, M. S., Alam, M. R., Ahammad, T., & 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(2), 105–126. https://doi.org/10.1080/10454446.2021.1906817
  • Annaraud, K., & Berezina, K. (2020). Predicting satisfaction and intentions to use online food delivery: What really makes a difference? Journal of Foodservice Business Research, 23(4), 305–323. https://doi.org/10.1080/15378020.2020.1768039
  • Asoodar, M., Vaezi, S., & Izanloo, B. (2016). Framework to improve e-learner satisfaction and further strengthen e-learning implementation. Computers in Human Behavior, 63, 704–716. https://doi.org/10.1016/j.chb.2016.05.060
  • Beyer, H., & Holtzblatt, K. (1998). Contextual design: Defining customer-centered systems. Morgan Kaufmann.
  • Businesswire. (2020). Generation Influence: Gen Z Study Reveals a New Digital Paradigm. Retrieved August 15, 2023 from https://www.businesswire.com/news/home/20200706005543/en/Generation-Influence-Gen-Z-Study-Reveals-a-New-Digital-Paradigm
  • Chakraborty, D. (2022a). Exploring the meteoric rise of online food ordering apps (OFOAs): The moderating role of visibility. British Food Journal, 124(11), 3871–3887. https://doi.org/10.1108/BFJ-08-2021-0906
  • Chakraborty, D. (2022b). Purchase behavior of consumers toward GSAs: A longitudinal assessment. Journal of Computer Information Systems, 63(5), 1031–1056. https://doi.org/10.1080/08874417.2022.2123065
  • Chakraborty, D., Kayal, G., Mehta, P., Nunkoo, R., & Rana, N. P. (2022). Consumers’ usage of food delivery app: A theory of consumption values. Journal of Hospitality Marketing & Management, 31(5), 601–619. https://doi.org/10.1080/19368623.2022.2024476
  • Chakraborty, D., Rana, N. P., Khorana, S., Singu, H. B., & Luthra, S. (2022). Big data in food: Systematic literature review and future directions. Journal of Computer Information Systems, 63(5), 1243–1263. In Press https://doi.org/10.1080/08874417.2022.2132428
  • Chakraborty, D., Siddiqui, M., Siddiqui, A., Paul, J., Dash, G., & Dal Mas, F. (2023). Watching is valuable: Consumer views–content consumption on OTT platforms. Journal of Retailing and Consumer Services, 70, 103148. https://doi.org/10.1016/j.jretconser.2022.103148
  • Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022). Personalization in personalized marketing: Trends and ways forward. Psychology & Marketing, 39(8), 1529–1562. https://doi.org/10.1002/mar.21670
  • Cheng, Y., Sharma, S., Sharma, P., & Kulathunga, K. (2020). Role of personalization in continuous use intention of mobile news apps in India: Extending the UTAUT2 model. Information, 11(1), 33. https://doi.org/10.3390/info11010033
  • Chen, C.-C., Hsiao, K.-L., & Li, W.-C. (2020). Exploring the determinants of usage continuance willingness for location-based apps: A case study of bicycle-based exercise apps. Journal of Retailing and Consumer Services, 55, 102097. https://doi.org/10.1016/j.jretconser.2020.102097
  • Chi, T. (2018). Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach. Journal of Retailing and Consumer Services, 44, 274–284. https://doi.org/10.1016/j.jretconser.2018.07.019
  • Cho, M., Bonn, M. A., & Li, J. 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
  • Choi, E.-K., Fowler, D., Goh, B., & Yuan, J. (2016). Social media marketing: Applying the uses and gratifications theory in the hotel industry. Journal of Hospitality Marketing & Management, 25(7), 771–796. https://doi.org/10.1080/19368623.2016.1100102
  • Chou, S.-W., & Hsu, C.-S. (2016). Understanding online repurchase intention: Social exchange theory and shopping habit. Information Systems and E-Business Management, 14(1), 19–45. https://doi.org/10.1007/s10257-015-0272-9
  • Chou, S.-W., & Nguyen, T. (2023). Understanding donation intention in live streaming: A dedication-constraint approach. Computers in Human Behavior, 144, 107757. https://doi.org/10.1016/j.chb.2023.107757
  • Cui, D. (2016). Beyond “connected presence”: Multimedia mobile instant messaging in close relationship management. Mobile Media & Communication, 4(1), 19–36. https://doi.org/10.1177/2050157915583925
  • Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
  • Das, M., & Ramalingam, M. (2023). To praise or not to praise-role of word of mouth in food delivery apps. Journal of Retailing and Consumer Services, 74, 103408. https://doi.org/10.1016/j.jretconser.2023.103408
  • DBSGroup. (2023). Foodpanda Collaborates with DBS Bank to Launch “Food Wise Rewards” and Doubles Donation to Food Connect Fund. Retrieved August 12, 2023 from https://www.dbs.com/newsroom/20230530_DBS_Less_Food_Waste_Reward_EN
  • Dephna. (2023). Staying Competitive in a Crowded Food Delivery Market. Retrieved August 2, 2023 from https://www.dephna.com/insights/stay-competitive-in-a-crowded-food-delivery-market
  • Dhir, A., Chen, G. M., & Chen, S. (2017). Why do we tag photographs on Facebook? Proposing a new gratifications scale. New Media & Society, 19(4), 502–521. https://doi.org/10.1177/1461444815611062
  • Duarte, P., E Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing & Consumer Services, 44, 161–169. https://doi.org/10.1016/j.jretconser.2018.06.007
  • El-Adly, M. I. (2019). Modelling the relationship between hotel perceived value, customer satisfaction, and customer loyalty. Journal of Retailing and Consumer Services, 50, 322–332. https://doi.org/10.1016/j.jretconser.2018.07.007
  • Food Insight. (2022). 2022 Food and Health Survey Spotlight: Generation Z. Retrieved August 30, 2023 from https://foodinsight.org/spotlight-generation-z/
  • Foodnext. (2022). After the epidemic, “subscription system, self-pick-up” has not decreased but increased! Healthy meals, cloud kitchens and integrated services have become new trends in consumption. Retrieved May 12, 2023 from https://www.foodnext.net/news/industry/paper/5739685555
  • 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
  • Foroughi, B., Yadegaridehkordi, E., Iranmanesh, M., Sukcharoen, T., Ghobakhlo, M., & Nilashi, M. (2023). Determinants of continuance intention to use food delivery apps: Findings from PLS and fsQCA. International Journal of Contemporary Hospitality Management, In Press. https://doi.org/10.1108/IJCHM-10-2022-1209
  • Francioni, B., Curina, I., Hegner, S. M., & Cioppi, M. (2022). Predictors of continuance intention of online food delivery services: Gender as moderator. International Journal of Retail & Distribution Management, 50(12), 1437–1457. https://doi.org/10.1108/IJRDM-11-2021-0537
  • Francis, T., & Hoefel, F. (2018). True Gen’: Generation Z and its implications for companies. Retrieved August 22, from http://www.drthomaswu.com/uicmpaccsmac/Gen%20Z.pdf
  • Gan, C., & Li, H. (2018). Understanding the effects of gratifications on the continuance intention to use WeChat in China: A perspective on uses and gratifications. Computers in Human Behavior, 78, 306–315. https://doi.org/10.1016/j.chb.2017.10.003
  • Gannon, M., Taheri, B., Thompson, J., Rahimi, R., & Okumus, B. (2022). Investigating the effects of service recovery strategies on consumer forgiveness and post-trust in the food delivery sector. International Journal of Hospitality Management, 107, 103341. https://doi.org/10.1016/j.ijhm.2022.103341
  • Guo, J., Liu, Z., & Liu, Y. (2016). Key success factors for the launch of government social media platform: Identifying the formation mechanism of continuance intention. Computers in Human Behavior, 55, 750–763. https://doi.org/10.1016/j.chb.2015.10.004
  • Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
  • Hakim, M. P., Libera, V. M. D., Zanetta, L. D. A., Stedefeldt, E., Zanin, L. M., Soon-Sinclair, J. M., … Da Cunha, D. T. (2023). Exploring dark kitchens in Brazilian urban centres: A study of delivery-only restaurants with food delivery apps. Food Research International, 170, 112969. https://doi.org/10.1016/j.foodres.2023.112969
  • Heng, M. (2022). Demand for Food Delivery to Stay Strong Beyond Pandemic: 5 Tips on How to Make Healthier Choices. Retrieved March 22, 2023 from https://www.sgh.com.sg/news/patient-care/demand-for-food-delivery-to-stay-strong-beyond-pandemic-5-tips-on-how-to-make-healthier-choices
  • Hong, C., Choi, H. H., Choi, E.-K. C., & 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 & Tourism Management, 48, 509–518. https://doi.org/10.1016/j.jhtm.2021.08.012
  • Hsu, M.-H., Chuang, L.-W., & Hsu, C.-S. (2014). Understanding online shopping intention: The roles of four types of trust and their antecedents. Internet Research, 24(3), 332–352. https://doi.org/10.1108/IntR-01-2013-0007
  • Huang, T., Bao, Z., & Li, Y. (2017). Why do players purchase in mobile social network games? An examination of customer engagement and of uses and gratifications theory. Program, 51(3), 259–277. https://doi.org/10.1108/PROG-12-2016-0078
  • Ibáñez‐Sánchez, S., Orus, C., & Flavian, C. (2022). Augmented reality filters on social media. Analyzing the drivers of playability based on uses and gratifications theory. Psychology & Marketing, 39(3), 559–578. https://doi.org/10.1002/mar.21639
  • Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127–143. https://doi.org/10.1080/07421222.1996.11518115
  • Joo, Y. J., Park, S., & Shin, E. K. (2017). Students’ expectation, satisfaction, and continuance intention to use digital textbooks. Computers in Human Behavior, 69, 83–90. https://doi.org/10.1016/j.chb.2016.12.025
  • Kang, J.-W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps: A privacy calculus perspective. International Journal of Contemporary Hospitality Management, 31(2), 734–752. https://doi.org/10.1108/IJCHM-12-2017-0783
  • Katz, E., Blumler, G., & Gurevich, M. (1974). Utilization of mass communication by the individual. In J. G. B. E. Katz (Ed.), The uses of Mass communications Current perspectives on gratifications reseach (pp. 19–32). Sage.
  • Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247. https://doi.org/10.1016/j.chb.2016.09.024
  • Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Publications.
  • Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017). Why men and women continue to use social networking sites: The role of gender differences. Journal of Strategic Information Systems, 26(4), 261–284. https://doi.org/10.1016/j.jsis.2017.01.004
  • 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
  • Lee, E. S., & Shin, Y.-J. (2017). Social cognitive predictors of Korean secondary school teachers’ job and life satisfaction. Journal of Vocational Behavior, 102, 139–150. https://doi.org/10.1016/j.jvb.2017.07.008
  • Lee, W. S., Song, M., Moon, J., & Tang, R. (2023). Application of the technology acceptance model to food delivery apps. British Food Journal, 125(1), 49–64. https://doi.org/10.1108/BFJ-05-2021-0574
  • Liang, T.-P., Lai, H.-J., & Ku, Y.-C. (2006). Personalized content recommendation and user satisfaction: Theoretical synthesis and empirical findings. Journal of Management Information Systems, 23(3), 45–70. https://doi.org/10.2753/MIS0742-1222230303
  • Li, H., Liu, Y., Xu, X., Heikkilä, J., & van der Heijden, H. (2015). Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online games. Computers in Human Behavior, 48, 261–272. https://doi.org/10.1016/j.chb.2015.01.053
  • Li, C., Mirosa, M., & Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability, 12(14), 5528. https://doi.org/10.3390/su12145528
  • Lin, P. M., Au, W. C. W., & Baum, T. (2023). Service quality of online food delivery mobile application: An examination of the spillover effects of mobile app satisfaction. International Journal of Contemporary Hospitality Management, In Press. https://doi.org/10.1108/IJCHM-09-2022-1103
  • Liu, Q., Shao, Z., & Fan, W. (2018). The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China. International Journal of Information Management, 43, 209–223. https://doi.org/10.1016/j.ijinfomgt.2018.08.005
  • Liu, Q., Shao, Z., Tang, J., & Fan, W. (2019). Examining the influential factors for continued social media use: A comparison of social networking and microblogging. Industrial Management & Data Systems, 119(5), 1104–1127. https://doi.org/10.1108/IMDS-05-2018-0221
  • Maduku, D. K., & Thusi, P. (2023). Understanding consumers’ mobile shopping continuance intention: New perspectives from South Africa. Journal of Retailing and Consumer Services, 70, 103185. https://doi.org/10.1016/j.jretconser.2022.103185
  • McMillan, S. J., & Hwang, J.-S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of Advertising, 31(3), 29–42. https://doi.org/10.1080/00913367.2002.10673674
  • Menon, D. (2022). Purchase and continuation intentions of over-the-top (OTT) video streaming platform subscriptions: A uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006. https://doi.org/10.1016/j.teler.2022.100006
  • Mishra, A., Shukla, A., Rana, N. P., Currie, W. L., & Dwivedi, Y. K. (2023). Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach. International Journal of Information Management, 68, 102571. https://doi.org/10.1016/j.ijinfomgt.2022.102571
  • Nguyen, D. M., Chiu, Y.-T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in Vietnam: A necessity for sustainable development. Sustainability, 13(14), 7625. https://doi.org/10.3390/su13147625
  • Nguyen, D. M., Chiu, Y. T. H., Vu, H. Q., & Nguyen, T. (2022). Toward a unified theory of technology continuance: Effects of conscious versus unconscious factors. Journal of Consumer Behaviour, 21(5), 1219–1235. https://doi.org/10.1002/cb.2073
  • Nguyen, T., Huang, E., & Nguyen, D. M. (2023). Food delivery app continuance: A dual model and segmentation approach. International Journal of Retail & Distribution Management, 51(5), 569–589. https://doi.org/10.1108/IJRDM-06-2022-0217
  • Nunkoo, R., Ramkissoon, H., & Gursoy, D. (2013). Use of structural equation modeling in tourism research: Past, present, and future. Journal of Travel Research, 52(6), 759–771. https://doi.org/10.1177/0047287513478503
  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50. https://doi.org/10.1177/002224298504900403
  • Pereira, R., & Tam, C. (2021). Impact of enjoyment on the usage continuance intention of video-on-demand services. Information & Management, 58(7), 103501. https://doi.org/10.1016/j.im.2021.103501
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • Prentice, C., & Thaichon, P. (2019). Revisiting the job performance–burnout relationship. Journal of Hospitality Marketing & Management, 28(7), 807–832. https://doi.org/10.1080/19368623.2019.1568340
  • Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
  • Pymnts. (2023). Gen Z 4x More Likely to Use Food Delivery Services Than Boomers. Retrieved May 15, 2023 from https://www.pymnts.com/news/delivery/2023/gen-z-4x-more-likely-to-use-food-delivery-services-than-boomers/
  • Ramos, K. (2022). Factors influencing customers' continuance usage intention of food delivery apps during COVID-19 quarantine in Mexico. British Food Journal, 124(3), 833–852.
  • 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
  • Raza, A., Asif, M., & Akram, M. (2023). Give your hunger a new option: Understanding consumers’ continuous intention to use online food delivery apps using trust transfer theory. International Journal of Consumer Studies, 47(2), 474–495. https://doi.org/10.1111/ijcs.12845
  • Rombach, M., Kartikasari, A., Dean, D. L., Suhartanto, D., & Chen, B. T. (2023). Determinants of customer loyalty to online food service delivery: Evidence from Indonesia, Taiwan, and New Zealand. Journal of Hospitality Marketing & Management, 32(6), 818–842. https://doi.org/10.1080/19368623.2023.2211061
  • Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Pearson Education.
  • Shankar, A., Jebarajakirthy, C., Nayal, P., Maseeh, H. I., Kumar, A., & Sivapalan, A. (2022). Online food delivery: A systematic synthesis of literature and a framework development. International Journal of Hospitality Management, 104, 103240. https://doi.org/10.1016/j.ijhm.2022.103240
  • Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241. https://doi.org/10.1016/j.eswa.2020.114241
  • Sproutsocial. (2018). What Consumers Want from Brands in a Divided Society. Retrieved August 30, 2023 from https://sproutsocial.com/insights/data/social-media-connection/
  • Statista. (2023). Online Food Delivery - Worldwide. Retrieved February 12, 2023 from https://www.statista.com/outlook/dmo/online-food-delivery/worldwide
  • Su, D. N., Nguyen, N. A. N., Nguyen, L. N. T., Luu, T. T., & Nguyen-Phuoc, D. Q. (2022). Modeling consumers’ trust in mobile food delivery apps: Perspectives of technology acceptance model, mobile service quality and personalization-privacy theory. Journal of Hospitality Marketing & Management, 31(5), 535–569. https://doi.org/10.1080/19368623.2022.2020199
  • Talwar, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2020). Barriers toward purchasing from online travel agencies. International Journal of Hospitality Management, 89, 102593. https://doi.org/10.1016/j.ijhm.2020.102593
  • Teng, Y.-M., Wu, K.-S., Wang, W.-C., & Chen, L.-W. (2023). What factors drive consumers’ desire to continue using food delivery apps (FDA) in Taiwan after the COVID-19 pandemic? Journal of Hospitality & Tourism Technology, In Press. https://doi.org/10.1108/JHTT-09-2022-0259
  • Teo, H.-H., Chan, H.-C., Wei, K.-K., & Zhang, Z. (2003). Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. International Journal of Human-Computer Studies, 59(5), 671–697. https://doi.org/10.1016/S1071-5819(03)00087-9
  • Timur, B., Oğuz, Y. E., & Yilmaz, V. (2023). Consumer behavior of mobile food ordering app users during COVID-19: Dining attitudes, e-satisfaction, perceived risk, and continuance intention. Journal of Hospitality & Tourism Technology, 14(3), 460–475. https://doi.org/10.1108/JHTT-04-2021-0129
  • Uzir, M. U. H., Al Halbusi, H., Thurasamy, R., Hock, R. L. T., 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
  • Verma, A., Chakraborty, D., & Verma, M. (2023). Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method. Journal of Retailing and Consumer Services, 73, 103369. https://doi.org/10.1016/j.jretconser.2023.103369
  • Wang, Y.-S., Tseng, T. H., Wang, W.-T., Shih, Y.-W., & Chan, P.-Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19–30. https://doi.org/10.1016/j.ijhm.2018.06.002
  • Weibull, L. (1985). Structural factors in gratifications research. In K. E. Rosengren, L. A. Wenner, & P. Palmgreen (Eds.), Media gratifications research: Current perspectives (pp. 123–157). Sage.
  • Xu, C., Ryan, S., Prybutok, V., & Wen, C. (2012). It is not for fun: An examination of social network site usage. Information & Management, 49(5), 210–217. https://doi.org/10.1016/j.im.2012.05.001
  • 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

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