EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 210 (2025) SHS Web Conf., 210 (2025) 01001 References
Open Access
Issue
SHS Web Conf.
Volume 210, 2025
11th International Conference on Humanity and Social Sciences (ICHSS 2025)
Article Number 01001
Number of page(s) 5
Section Marketing Management and Labor Economics
DOI https://doi.org/10.1051/shsconf/202521001001
Published online 26 February 2025
  1. T. Mak, S. Louro Caldeira, The role of nutrition in active and healthy ageing: For prevention and treatment of age-related diseases: evidence so far, (Publications Office of the European Union, Luxembourg, 2014). https://doi.org/10.2788/83557 [Google Scholar]
  2. T. Ahmed, & N. J. Haboubi, Assessment and management of nutrition in older people and its importance to health. Clin. Interv. Aging. 5, 207216 (2010). https://doi.org/10.2147/cia.s9664 [Google Scholar]
  3. M. Illario, M. M. Vollenbroek-Hutten, D. W. Molloy, E. Menditto, G. Iaccarino, & P. Eklund, Active and healthy ageing and independent living 2016. J. Aging Res. 2016, 8062079 (2016). https://doi.org/10.1155/2016/8062079 [CrossRef] [Google Scholar]
  4. A. Host, A.-T. McMahon, K. Walton, & K. J. Charlton, Factors influencing food choice for independently living older people—a systematic literature review. J. Nutr. Gerontol. Geriatr. 35, 67–94 (2016). https://doi.org/10.1080/21551197.2016.1168760 [CrossRef] [Google Scholar]
  5. J. Lara, M. J. Sherratt, & M. J. Rees, Aging and anti-aging, Maturitas 93, 1–3 (2016). https://doi.org/10.1016/j.maturitas.2016.08.020 [Google Scholar]
  6. V. C. Sgarbieri, & M. T. B. J. Pacheco, Healthy human aging: intrinsic and environmental factors. Braz. J. Food Technol. 20, 1–23 (2017). https://doi.org/10.1590/1981-6723.00717 [Google Scholar]
  7. B. H. Goodpaster, S. W. Park, T. B. Harris, S. B. Kritchevsky, M. Nevitt, A. V. Schwartz, . . . A. B. J. Newman, The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J. Gerontol. A Biol. Sci. Med. Sci. 61, 1059–1064 (2006). https://doi.org/10.1093/gerona/61.10.1059 [CrossRef] [Google Scholar]
  8. D. Reher, & M. J. Requena, Living alone in later life: A global perspective. Popul. Dev. Rev. 44, 427–454 (2018). [CrossRef] [Google Scholar]
  9. T. J. Lancet, India under COVID-19 lockdown. Elsevier Public Health Emerg. Collect. 395, 1315 (2020). https://doi.org/10.1016/S0140-6736(20)30938-7 [Google Scholar]
  10. J. Peto, N. A. Alwan, K. M. Godfrey, R. A. Burgess, D. J. Hunter, E. Riboli, . . . C. J. Costelloe, Universal weekly testing as the UK COVID-19 lockdown exit strategy. Lancet 395, 1420–1421 (2020). https://doi.org/10.1016/S0140-6736(20)30936-3 [CrossRef] [Google Scholar]
  11. Z. Shahid, R. Kalayanamitra, B. McClafferty, D. Kepko, D. Ramgobin, R. Patel, . . . D. J. Bhatt, COVID‐19 and older adults: what we know. J. Am. Geriatr. Soc. 68, 926–929 (2020). https://doi.org/10.1111/jgs.16472 [CrossRef] [Google Scholar]
  12. A. Sidor, & P. Rzymski, Dietary choices and habits during COVID-19 lockdown: experience from Poland. Nutrients 12, 1657 (2020). https://doi.org/10.3390/nu12061657 [CrossRef] [Google Scholar]
  13. C. Sheu, R. McHaney, & S. Babbar, Service process design flexibility and customer waiting time. Int. J. Oper. Prod. Manag. 23, 901–917 (2003). https://doi.org/10.1108/01443570310486347 [CrossRef] [Google Scholar]
  14. R. Chen, & J. J. Jia, Regret and performance uncertainty in consumer repeat choice. Mark. Lett. 23, 353–365 (2012). https://doi.org/10.1007/s11002-011-9159-9 [CrossRef] [Google Scholar]
  15. F. Abdullah, A. Z. A. Abdurahman, & J. Hamali, Developing a framework of success for the foodservice industry in Malaysia. Int. J. Bus. Soc. 13, 309–334 (2012). [Google Scholar]
  16. M. Haviv, A Course in Queueing Theory. (Springer, New York, NY, 2013). [CrossRef] [Google Scholar]
  17. C.-L. Lin, & M.-C. Tsai, How well do you know your customers? A three dimension gaps analysis. Int. J. Perform. Meas. 3, 65–90 (2013). [Google Scholar]
  18. R. Islam, R. Islam, & T. Mazumder, Mobile application and its global impact. Int. J. Eng. Technol. 10, 72–78 (2010). https://doi.org/10.1.1.657.9773 [Google Scholar]
  19. C. J. Muller, Restaurant delivery: Are “ODP” the industry’s “OTA”? Part I & II. Boston Hosp. Rev. 6, 1–17 (2018). [Google Scholar]
  20. M. S. Chtourou, & N. Souiden, Rethinking the TAM model: time to consider fun. J. Consum. Mark. 27, 336–344 (2010). https://doi.org/10.1108/07363761011052378 [CrossRef] [Google Scholar]
  21. V. Venkatesh, M. G. Morris, G. B. Davis, & F. D. Davis, User acceptance of information technology: Toward a unified view. MIS Q. 27, 425–478 (2003). https://doi.org/10.2307/30036540 [CrossRef] [Google Scholar]
  22. V. Venkatesh, J. Y. Thong, & X. Xu, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36, 157–178 (2012). https://doi.org/10.2307/41410412 [CrossRef] [Google Scholar]
  23. C. J. Hutto, C. Bell, S. Farmer, C. Fausset, L. Harley, J. Nguyen, & B. Fain, Social media gerontology: Understanding social media usage among older adults. Web Intell. 13, 69–87 (2015). https://doi.org/10.3233/WEB-150310 [CrossRef] [Google Scholar]
  24. E. Jeong, & S. J. Jang, Moderating effects of selfimage congruity on the relationship between advertisement message strength and revisiting intention. J. Foodserv. Bus. Res. 20, 238–248 (2017). https://doi.org/10.1080/15378020.2016.1206771 [CrossRef] [Google Scholar]
  25. C. Bailey, in organisations. Time Soc. 28, 587–612 (2019). https://doi.org/10.1177/0961463X18794587 [CrossRef] [Google Scholar]
  26. C.-C. Liang, Enjoyable queuing and waiting time. Time Soc. 28, 543–566 (2019). https://doi.org/10.1177/0961463X17702164 [CrossRef] [Google Scholar]
  27. S. C. Webber, M. M. Porter, & V. H. Menec, Mobility in older adults: a comprehensive framework. Gerontologist 50, 443–450 (2010). https://doi.org/10.1093/geront/gnq013 [CrossRef] [Google Scholar]
  28. B. Mollet, & I. Rowland, Functional foods: at the frontier between food and pharma. Curr. Opin. Biotechnol. 13, 483–485 (2002). https://doi.org/10.1016/s0958-1669(02)00375-0 [CrossRef] [Google Scholar]
  29. V. Xhakollari, M. Canavari, & M. Osman, Factors affecting consumers’ adherence to gluten-free diet, a systematic review. Trends Food Sci. Technol. 85, 23–33 (2019). https://doi.org/10.1016/j.tifs.2018.12.005 [CrossRef] [Google Scholar]
  30. J. Young, Functional foods and the European consumer. Spec. Publ.-R. Soc. Chem. 248, 75–81 (2000). [Google Scholar]
  31. J. Reedy, S. M. Krebs-Smith, P. E. Miller, A. D. Liese, L. L. Kahle, Y. Park, & A. F. Subar, Higher diet quality is associated with decreased risk of allcause, cardiovascular disease, and cancer mortality among older adults. J. Nutr. 144, 881–889 (2014). https://doi.org/10.3945/jn.113.189407 [CrossRef] [Google Scholar]
  32. B. Shatenstein, G. Ferland, S. Belleville, K. GrayDonald, M.-J. Kergoat, J. Morais, . . . C. Greenwood, Diet quality and cognition among older adults from the NuAge study. Exp. Gerontol. 47, 353–360 (2012). https://doi.org/10.1016/j.exger.2012.02.002 [CrossRef] [Google Scholar]
  33. S. C. de Andrade, A. N. Previdelli, C. L. G. Cesar, D. M. L. Marchioni, & R. M. Fisberg, Trends in diet quality among adolescents, adults and older adults: A population-based study. Prev. Med. Rep. 4, 391–396 (2016). https://doi.org/10.1016/j.pmedr.2016.07.010 [CrossRef] [Google Scholar]
  34. A. Drewnowski, S. A. Renderson, A. Driscoll, & B. J. Rolls, The Dietary Variety Score: assessing diet quality in healthy young and older adults. J. Am. Diet. Assoc. 94, 266–271 (1997). https://doi.org/10.1016/S0002-8223(97)00070-9 [CrossRef] [Google Scholar]
  35. G. Hughes, K. M. Bennett, & M. M. Hetherington, Old and alone: barriers to healthy eating in older men living on their own. Appetite 43, 269–276 (2004). https://doi.org/10.1016/j.appet.2004.06.002 [CrossRef] [Google Scholar]
  36. H. Zhu, & R. An, Impact of home-delivered meal programs on diet and nutrition among older adults: a review. Nutr. Health 22, 89–103 (2013). https://doi.org/10.1177/0260106014537146 [CrossRef] [Google Scholar]
  37. G. Pigatto, J. G. d. C. F. Machado, A. dos Santos Negreti, & L. M. Machado, Have you chosen your request? Analysis of online food delivery companies in Brazil. Br. Food J. 119, 639–657 (2017). [CrossRef] [Google Scholar]
  38. D. Suhartanto, M. Helmi Ali, K. H. Tan, F. Sjahroeddin, & L. Kusdibyo, Loyalty toward online food delivery service: the role of e-service quality and food quality. J. Foodserv. Bus. Res. 22, 81–97 (2019). https://doi.org/10.1080/15378020.2018.1546076 [CrossRef] [Google Scholar]
  39. V. C. S. Yeo, S.-K. Goh, & S. Rezaei, Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. J. Retail. Consum. Serv. 35, 150–162 (2017). https://doi.org/10.1016/j.jretconser.2016.12.013 [CrossRef] [Google Scholar]
  40. S. Ali, N. Khalid, H. M. U. Javed, & D. M. Islam, Consumer adoption of online food delivery ordering (OFDO) services in Pakistan: the impact of the COVID-19 pandemic situation. J. Open Innov. Technol. Mark. Complex. 7, 10 (2021). https://doi.org/10.3390/joitmc7010010 [CrossRef] [Google Scholar]
  41. S. Mehrolia, S. Alagarsamy, & V. M. Solaikutty, Customers response to online food delivery services during COVID‐19 outbreak using binary logistic regression. Int. J. Consum. Stud. 45, 396408 (2021). https://doi.org/10.1111/ijcs.12630 [CrossRef] [Google Scholar]
  42. F. X. Yang, X. Li, V. M.-C. Lau, & V. Z. Zhu, To survive or to thrive? China’s luxury hotel restaurants entering O2O food delivery platforms amid the COVID-19 crisis. Int. J. Hosp. Manag. 94, 102855 (2021). https://doi.org/10.1016/j.ijhm.2020.102855 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.