Al-Hattami, H. M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19. Cogent Business & Management, 8(1), 1936368. https://doi.org/10.1080/23311975.2021.1936368

Bergkvist, L., & Rossiter, J. R. (2009). Tailor-made single-item measures of doubly concrete constructs. International Journal of Advertising, 28(4), 607-621. https://doi.org/10.2501/S0265048709200783

Bojanic, D. C., & Warnick, R. B. (2012). The role of purchase decision involvement in a special event. Journal of Travel Research, 51(3), 357-366. https://doi.org/10.1177/004728751141836

Bölen, M. C., & Özen, Ü. (2020). Understanding the factors affecting consumers’ continuance intention in mobile shopping: The case of private shopping clubs. International Journal of Mobile Communications, 18(1), 101–129. https://doi.org/10.1504/IJMC.2020. 104423

Burnkrant, R. E., & Sawyer, A. G. (1983). Effects of involvement and message content on information-processing intensity. Information Processing Research in Advertising, 12(2), 46-64.

Caputo, E. L., & Reichert, F. F. (2020). Studies of physical activity and COVID-19 during the pandemic: a scoping review. Journal of Physical Activity and Health, 17(12), 1275-1284. https://doi.org/10.1123/jpah.2020-0406

Carroll, J. K., Moorhead, A., Bond, R., LeBlanc, W. G., Petrella, R. J., & Fiscella, K. (2017). Who uses mobile phone health apps and does use matter? A secondary data analytics approach. Journal of Medical Internet Research, 19(4), e5604. https://doi.org/ 10.2196/jmir.5604

Chang, S. C., & Chou, C. M. (2012). The roles of constraint based and dedication-based influences on user’s continued online shopping behavior. The Spanish Journal of Psychology, 15(3), 1177–1200. https://doi.org/10.5209/rev_SJOP.2012.v15.n3.39406

Chen, S. C., Raab, C., & Tanford, S. (2015). Antecedents of mandatory customer participation in service encounters: An empirical study. International Journal of Hospitality Management, 46, 65-75. https://doi.org/10.1016/j.ijhm.2015.01.012

Choi, C., & Bum, C. H. (2020). Changes in the type of sports activity due to COVID-19: Hypochondriasis and the intention of continuous participation in sports. International Journal of Environmental Research and Public Health, 17(13), 4871- 4882. https://doi.org/10.3390/ijerph17134871

Chong, A. Y. L. (2013). Understanding mobile commerce continuance intentions: An empirical analysis of Chinese consumers. Journal of Computer Information Systems, 53(4), 22–30. https://doi.org/10.1080/08874417.2013.11645647

Christophersen, T., & Konradt, U. (2011). Reliability, validity, and sensitivity of a single-item measure of online store usability. International Journal of Human-Computer Studies, 69(4), 269-280. https://doi.org/10.1016/j.ijhcs.2010.10.005

Cui, A. S., & Wu, F. (2016). Utilizing customer knowledge in innovation: antecedents and impact of customer involvement on new product performance. Journal of the academy of marketing science, 44(4), 516-538. https://doi.org/10.1007/s11747-015-0433-x;

Ellison, B., McFadden, B., Rickard, B. J., & Wilson, N. L. (2021). Examining food purchase behavior and food values during the COVID‐19 pandemic. Applied Economic Perspectives and Policy, 43(1), 58-72. https://doi.org/10.1002/aepp.13118

Ernsting, C., Dombrowski, S. U., Oedekoven, M., LO, J., Kanzler, M., Kuhlmey, A., & Gellert, P. (2017). Using smartphones and health apps to change and manage health behaviors: a population-based survey. Journal of Medical Internet Research, 19(4), e6838. https://doi.org/10.2196/jmir.6838

Grashuis, J., Skevas, T., & Segovia, M. S. (2020). Grocery shopping preferences during the COVID-19 pandemic. Sustainability, 12(13), 5369. https://doi.org/10.3390/su12135369

Harrigan, P., Evers, U., Miles, M. P., & Daly, T. (2018). Customer engagement and the relationship between involvement, engagement, self-brand connection and brand usage intent. Journal of Business Research, 88, 388-396. https://doi.org/10.1016/j.jbusres.2017.11.046

Hsu, M. H., Yen, C. H., Chiu, C. M., & Chang, C. M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human Computer Studies, 64(9), 889–904. https://doi.org/10.1016/j.ijhcs.2006.04.004

Huang, C. Y., Chou, C. J., & Lin, P. C. (2010). Involvement theory in constructing bloggers’ intention to purchase travel products. Tourism Management, 31(4), 513-526. https://doi.org/10.1016/j.tourman.2009.06.003

Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., & White, M. (2020). Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries. BMJ, 370-380. https://doi.org/10.1136/bmj.m2743

Jensen, K. L., Yenerall, J., Chen, X., & Yu, T. E. (2021). U.S. consumers’ online shopping behaviors and intentions during and after the COVID-19 pandemic. Journal of Agricultural and Applied Economics, 53(3), 416-434. https://doi.org/10.1017/aae.2021.15

Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of retailing and Consumer Services, 14(2), 95-107. https://doi.org/10.1016/j.jretconser.2006.05.001

Kinard, B. R., & Capella, M. L. (2006). Relationship marketing: the influence of consumer involvement on perceived service benefits. Journal of Services Marketing, 20(6), 359-368. https://doi.org/10.1108/08876040610691257

Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling. Guilford Publications.

Krugman, H. E. (1966). The measurement of advertising involvement. Public Opinion Quarterly, 30(4), 583-596. https://doi.org/10.1086/267457

Lee, S., Kim, K. J., & Sundar, S. S. (2015). Customization in location-based advertising: Effects of tailoring source, locational congruity, and product involvement on ad attitudes. Computers in Human Behavior, 51, 336-343. https://doi.org/10.1016/j.chb.2015.04.049

Ma, L., Zhang, X., Ding, X., & Wang, G. (2020). How social ties influence customers’ involvement and online purchase intentions. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 395-408. https://doi.org/10.3390/jtaer16030025

Mastromartino, B., Ross, W. J., Wear, H., & Naraine, M. L. (2020). Thinking outside the ‘box’: A discussion of sports fans, teams, and the environment in the context of COVID-19. Sport in Society, 23(11), 1707-1723. https://doi.org/10.1080/17430437.2020.1804108

McClure, C., & Seock, Y. K. (2020). The role of involvement: Investigating the effect of brand’s social media pages on consumer purchase intention. Journal of Retailing and Consumer Services, 53, 101975-101982. https://doi.org/10.1016/j.jretconser.2019.101975

Melo, G. (2020). The path forward: U.S. consumer and food retail responses to COVID-19. (Special Section: COVID-19 and the agriculture industry: labor, supply chains, and consumer behavior.). Choices. The Magazine of Food, Farm, and Resources Issues, 35(3), 2020.

Middleton, A., Simpson, K. N., Bettger, J. P., & Bowden, M. G. (2020). COVID-19 pandemic and beyond: considerations and costs of telehealth exercise programs for older adults with functional impairments living at home—lessons learned from a pilot case study. Physical Therapy, 100(8), 1278-1288. https://doi.org/10.1093/ptj/pzaa089

Mohamed, N., Hussein, R., Zamzuri, N. H. A., & Haghshenas, H. (2014). Insights into individual’s online shopping continuance intention. Industrial Management & Data Systems, 114(9), 1453–1476. https://doi.org/10.1108/IMDS-07-2014-0201

Moon, J., Choe, Y., & Song, H. (2021). Determinants of consumers’ online/offline shopping behaviours during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(4), 1593. https://doi.org/10.3390/ijerph18041593

Mutz, M., & Gerke, M. (2021). Sport and exercise in times of selfquarantine: How Germans changed their behaviour at the beginning of the Covid-19 pandemic. International Review for the Sociology of Sport, 56(3), 305-316. https://doi.org/10.1177/1012690220934335

Nagy, M. S. (2002). Using a single‐item approach to measure facet job satisfaction. Journal of Occupational and Organizational Psychology, 75(1), 77-86. https://doi.org/10.1348/096317902167658

Parker K, Uddin R, Ridgers N, Brown H, Veitch J, Salmon J, Timperio A, Sahlqvist S, Cassar S, Toffoletti K, Maddison R, Arundell L. (2021). The use of digital platforms for adults’ and adolescents’ physical activity during the COVID-19 pandemic (our life at home): Survey study. Journal of Medical Internet Research, 23(2), e23389. https://doi.org/10.2196/23389

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1-24). Springer, New York, NY.

Robins, R. W., Hendin, H. M., & Trzesniewski, K. H. (2001). Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 27(2), 151-161. https://doi.org/10.1177/0146167201272002

Russell-Bennett, R., McColl-Kennedy, J. R., & Coote, L. V. (2007). Involvement, satisfaction, and brand loyalty in a small business services setting. Journal of Business Research, 60(12), 1253-1260. https://doi.org/10.1016/j.jbusres.2007.05.001

Sarstedt, M., & Wilczynski, P. (2009). More for less? A comparison of single-item and multi-item measures. Die Betriebswirtschaft, 69(2), 211-227.

Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die?. Journal of Business Research, 117, 280-283. https://doi.org/10.1016/j.jbusres.2020.05.059

Shin, S., & Yang, J. (2022). Consumption Behavior Changes and Future Prospects for Sports Services and Product Purchases in the COVID-19 Pandemic. Journal of Consumer Policy Studies, 53(1), 1-38. https://doi.org/10.15723/jcps.53.1.202204.1

Teng, C. C., & Lu, C. H. (2016). Organic food consumption in Taiwan: Motives, involvement, and purchase intention under the moderating role of uncertainty. Appetite, 105, 95-105. https://doi.org/10.1016/j.appet.2016.05.006

Van Droogenbroeck, E., & Van Hove, L. (2017). Adoption of online grocery shopping: personal or household characteristics?. Journal of Internet Commerce, 16(3), 255- 286. https://doi.org/10.1080/15332861.2017.1317149

World Health Organization (2020, 11 March). WHO DirectorGeneral’s opening remarks at the media briefing on COVID19 - 11 March 2020. https://www.who.int/director-general/ speeches/detail/who-director-general-s-opening-remarks-atthe-media-briefing-on-covid-19---11-march-2020

Yang, X. (2021). Determinants of consumers’ continuance intention to use social recommender systems: A self regulation perspective. Technology in Society, 64, 101464. https://doi.org/10.1016/j.techsoc.2020.101464

Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352. https://doi.org/10.1086/208520

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(October), 102683. https://doi.org/10.1016/j.ijhm.2020.102683

Zhu, W., Mou, J., & Benyoucef, M. (2019). Exploring purchase intention in cross-border E-commerce: A three stage model. Journal of Retailing and Consumer Services, 51(2), 320-330. https://doi.org/10.1016/j.jretconser.2019.07.004