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Research Articles

Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model

ORCID Icon & ORCID Icon
Pages 2560-2577 | Received 04 Aug 2022, Accepted 23 Dec 2022, Published online: 04 Jan 2023

References

  • Acikgoz, F., Filieri, R., & Yan, M. (2022). Psychological predictors of intention to use fitness apps: The role of subjective knowledge and innovativeness. International Journal of Human–Computer Interaction, in press. https://doi.org/10.1080/10447318.2022.2074668
  • Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277. https://doi.org/10.1037/h0076477
  • Al-Omary, A., El-Medany, W. M., & Isa, K. J. (2015). The impact of SNS in higher education: A case study of using WhatsApp in the university of Bahrain [Paper presentation]. 2015 Fifth International Conference on e-Learning (Econf) (pp. 296–300) Manama, Bahrain. https://doi.org/10.1109/ECONF.2015.72
  • Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional social action in virtual communities. Journal of Interactive Marketing, 16(2), 2–21. https://doi.org/10.1002/dir.10006
  • Bagozzi, R. P., & Lee, K. (2002). Multiple routes for social influence: The role of compliance, internalization and social identity. Social Psychology Quarterly, 65(3), 226–247. https://doi.org/10.2307/3090121
  • Bagozzi, R. P., Gaur, S. S., & Tiwari, S. P. (2018). Social influence and intentional social action in dyadic relationship decisions under a key informant methodology. Archives of Psychology, 2(6), 1–23. https://doi.org/10.31296/aop.v2i6.60
  • Baltes, S., & Ralph, P. (2022). Sampling in software engineering research: A critical review and guidelines. Empirical Software Engineering, 27(4), 1–31. https://doi.org/10.1007/s10664-021-10072-8
  • Bendixen, M. T. (1993). Advertising effects and effectiveness. European Journal of Marketing, 27(10), 19–32. https://doi.org/10.1108/03090569310045861
  • Bhuyan, S. S., Lu, N., Chandak, A., Kim, H., Wyant, D. K., Bhatt, J., Kedia, S. K., & Chang, C. F. (2016). Use of mobile health applications for health-seeking behavior among US adults. Journal of Medical Systems, 40(6), 153.
  • Bidargaddi, N., Almirall, D., Murphy, S., Nahum-Shani, I., Kovalcik, M., Pituch, T., Maaieh, H., & Strecher, V. (2018). To prompt or not to prompt? A microrandomized trial of time-varying push notifications to increase proximal engagement with a mobile health app. JMIR mHealth and uHealth, 6(11), e10123. https://doi.org/10.2196/10123
  • Biviji, R., Vest, J. R., Dixon, B. E., Cullen, T., & Harle, C. A. (2020). Factors related to user ratings and user downloads of mobile apps for maternal and infant health: Cross-sectional study. JMIR mHealth and uHealth, 8(1), e15663. https://doi.org/10.2196/15663
  • Bol, N., Helberger, N., & Weert, J. C. (2018). Differences in mobile health app use: A source of new digital inequalities? The Information Society, 34(3), 183–193. https://doi.org/10.1080/01972243.2018.1438550
  • Cao, J. V., Sun, P. P., Zhang, L. X., Chen, X., Ou, A. P., Gui, W. J., & Ma, L. K. (2021). The application of “internet+” disease management based on the AISAS model on young and middle-aged patients after PCI therapy. Chinese Journal of Practical Nursing, 37(15), 1121–1127. http://dx.doi.org/10.3760/cma.j.cn211501-20200502-02141
  • Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2020). Influencers on Instagram: Antecedents and consequences of opinion leadership. Journal of Business Research, 117, 510–519. https://doi.org/10.1016/j.jbusres.2018.07.005
  • Chae, J. (2018). A comprehensive profile of those who have health-related apps. Health Education & Behavior: The Official Publication of the Society for Public Health Education, 45(4), 591–598. https://doi.org/10.1177/1090198117752784
  • Cheah, J., Ting, H., Cham, T. H., & Memon, M. A. (2019). The effect of selfie promotion and celebrity endorsed advertisement on decision-making processes. Internet Research, 29(3), 552–577. https://doi.org/10.1108/IntR-12-2017-0530
  • Chen, J. V., Hiele, T. M., Kryszak, A., & Ross, W. H. (2020). Predicting intention to participate in socially responsible collective action in social networking website groups. Journal of the Association for Information Systems, 21(2), 6.
  • Cho, J., Lee, H. E., & Quinlan, M. M. (2015). Complementary relationships between traditional media and health apps among American college students. Journal of American College Health: J of ACH, 63(4), 248–257. https://doi.org/10.1080/07448481.2015.1015025
  • Cho, J., Park, D., & Lee, H. E. (2014). Cognitive factors of using health apps: Systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy. Journal of Medical Internet Research, 16(5), e125. https://doi.org/10.2196/jmir.3283
  • Chou, M. C., & Liu, C. H. (2016). Mobile instant messengers and middle-aged and elderly adults in Taiwan: Uses and gratifications. International Journal of Human–Computer Interaction, 32(11), 835–846. https://doi.org/10.1080/10447318.2016.1201892
  • Chou, S. W., & Hsu, C. (2018). An empirical investigation on knowledge use in virtual communities-A relationship development perspective. International Journal of Information Management, 38(1), 243–255. https://doi.org/10.1016/j.ijinfomgt.2017.10.003
  • Chou, S. W., Hsu, C., Shiau, J., Huang, M., & Chou, Y. (2018). Understanding knowledge management phenomena in virtual communities from a goal-directed approach. Internet Research, 28(3), 652–674. https://doi.org/10.1108/IntR-05-2017-0200
  • Collado-Borrell, R., Escudero-Vilaplana, V., Calles, A., Garcia-Martin, E., Marzal-Alfaro, B., Gonzalez-Haba, E., Herranz-Alonso, A., & Sanjurjo-Saez, M. (2018). Oncology patient interest in the use of new technologies to manage their disease: Cross-sectional survey. Journal of Medical Internet Research, 20(10), e11006. https://doi.org/10.2196/11006
  • Connolly, S. L., Miller, C. J., Koenig, C. J., Zamora, K. A., Wright, P. B., Stanley, R. L., & Pyne, J. M. (2018). Veterans’ attitudes toward smartphone app use for mental health care: Qualitative study of rurality and age differences. JMIR mHealth and uHealth, 6(8), e10748. https://doi.org/10.2196/10748
  • Crilly, P., Jair, S., Mahmood, Z. S., Moin Khan, A., Munir, A., Osei-Bediako, I., Samir, M., & Kayyali, R. (2019). Public views of different sources of health advice: Pharmacists, social media and mobile health applications. The International Journal of Pharmacy Practice, 27(1), 88–95. https://doi.org/10.1111/ijpp.12448
  • Cui, J., & Tong, Q. (2022). How does the Chinese Government conduct emotional governance over COVID-19? Content analysis of video blogs. Chinese Journal of Communication, in press. https://doi.org/10.1080/17544750.2022.2125024
  • Datillo, J. R., Gittings, D. J., Sloan, M., Hardaker, W. M., Deasey, M. J., & Sheth, N. P. (2017). Is there an app for that? Orthopaedic patient preferences for a smartphone application. Applied Clinical Informatics, 8(3), 832–844. https://doi.org/10.4338/ACI-2017-04-RA-0058
  • De Oliveira, M. J., & Huertas, M. K. (2015). Does life satisfaction influence the intention (We-Intention) to use Facebook? Computers in Human Behavior, 50(C), 205–210. https://doi.org/10.1016/j.chb.2015.03.047
  • Dutta-Bergman, M. J. (2004). Primary sources of health information: Comparisons in the domain of health attitudes, health cognitions, and health behaviors. Health Communication, 16(3), 273–288. https://doi.org/10.1207/S15327027HC1603_1
  • Elflein, J. (2020). Top ten causes of deaths in upper income countries 2016. https://www.statista.com/statistics/311941/top-ten-causes-of-death-in-upper-income-countries/
  • Ernsting, C., Dombrowski, S. U., Oedekoven, M., O Sullivan, J. L., 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), e101. https://doi.org/10.2196/jmir.6838
  • Ernsting, C., Stühmann, L. M., Dombrowski, S. U., Voigt-Antons, J. N., Kuhlmey, A., & Gellert, P. (2019). Associations of health app use and perceived effectiveness in people with cardiovascular diseases and diabetes: Population-based survey. JMIR mHealth and uHealth, 7(3), e12179. https://doi.org/10.2196/12179
  • Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analysis. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7th ed.). Prentice Hall.
  • Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of business research methods (4th ed.). Routledge.
  • Hall, S. R. (1924). The handbook of sales management: A review of modern sales practice and management. McGraw-Hill.
  • Hamilton, K., Morrissey, S. A., Farrell, L. J., Ellu, M. C., O’donovan, A., Weinbrecht, T., & O’connor, E. L. (2018). Increasing psychological literacy and work readiness of Australian psychology undergraduates through a capstone and work‐integrated learning experience: Current issues and what needs to be done. Australian Psychologist, 53(2), 151–160. https://doi.org/10.1111/ap.12309
  • He, Y., & Li, X. F. (2021). Analysis of network marketing strategy of Bestore based on AISAS theory [Paper presentation]. 2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) (pp. 607–611), Shanghai, China. https://doi.org/10.1109/ICCSMT54525.2021.00119
  • Hosany, S., & Witham, M. (2010). Dimensions of cruisers’ experiences, satisfaction, and intention to recommend. Journal of Travel Research, 49(3), 351–364. https://doi.org/10.1177/0047287509346859
  • Hu, Z., & Qiao, J. (2018). Research on We Chat matrix marketing process of e-commerce enterprises based on AISAS model. International Conference on Arts and Design, Education and Social Sciences (pp. 878-884), Yinchuan, China. http://doi.org/10.12783/dtssehs/adess2017/17883
  • Huber, B., Barnidge, M., Gil de Zúñiga, H., & Liu, J. (2019). Fostering public trust in science: The role of social media. Public Understanding of Science (Bristol, England), 28(7), 759–777. https://doi.org/10.1177/0963662519869097
  • James, D. C. S., & Harville, C. (2017). Barriers and motivators to participating in mHealth research among African American men. American Journal of Men’s Health, 11(6), 1605–1613. https://doi.org/10.1177/1557988315620276
  • Kashdan, T. B., McKnight, P. E., Fincham, F. D., & Rose, P. (2011). When curiosity breeds intimacy: Taking advantage of intimacy opportunities and transforming boring conversations. Journal of Personality, 79(6), 1369–1402. https://doi.org/10.1111/j.1467-6494.2010.00697.x
  • Kenny, R., Dooley, B., & Fitzgerald, A. (2016). Developing mental health mobile apps: Exploring adolescents’ perspectives. Health Informatics Journal, 22(2), 265–275. https://doi.org/10.1177/1460458214555041
  • Kitirattarkarn, G. P., Araujo, T., & Neijens, P. (2019). Challenging traditional culture? How personal and national collectivism-individualism moderates the effects of content characteristics and social relationships on consumer engagement with brand-related user-generated content. Journal of Advertising, 48(2), 197–214. https://doi.org/10.1080/00913367.2019.1590884
  • Kotler, P. (1999). Marketing management: The millennium edition. Pearson Custom Publishing.
  • Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: A national survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924
  • Lacoeuilhe, J. (2000). L’attachement à la marque: Proposition d‘une échelle de mesure. Recherche et Applications en Marketing (French Edition), 15(4), 61–77. https://doi.org/10.1177/076737010001500404
  • Ledderer, L., Møller, A., & Fage-Butler, A. (2019). Adolescents’ participation in their healthcare: A sociomaterial investigation of a diabetes app. Digital Health, 5, 2055207619845448. https://doi.org/10.1177/2055207619845448
  • Lee, S. Y., & Lee, S. W. (2022). Facebook use and job performance: The mediating effects of social capital, knowledge sharing, and job satisfaction. International Journal of Human–Computer Interaction, 38(14), 1359–1374. https://doi.org/10.1080/10447318.2021.2002045
  • Li, M., & Suh, A. (2021). We-intention to continue playing mobile multiplayer games: The role of social play habit. Internet Research, 31(4), 1153–1176. https://doi.org/10.1108/INTR-04-2020-0208
  • Li, Y. J., Cheung, C. M., Shen, X. L., & Lee, M. K. (2022). When socialization goes wrong: Understanding the we-intention to participate in collective trolling in virtual communities. Journal of the Association for Information Systems, 23(3), 678–706. https://doi.org/10.17705/1jais.00737
  • Liu, W.-L. (2014). Internet marketing: 3A Era is coming. Go top Information Inc.
  • Liu, Y. C., Wang, W. T., & Lee, T. L. (2021). An integrated view of information feedback, game quality, and autonomous motivation for evaluating game-based learning effectiveness. Journal of Educational Computing Research, 59(1), 3–40. https://doi.org/10.1177/0735633120952044
  • Mäkinen, H., Haavisto, E., Havola, S., & Koivisto, J. (2022). User experiences of virtual reality technologies for healthcare in learning: An integrative review. Behaviour & Information Technology, 41(1), 1–17. https://doi.org/10.1080/0144929X.2020.1788162
  • Manierre, M. (2015). Gaps in knowledge: Tracking and explaining gender differences in health information seeking. Social Science & Medicine (1982), 128, 151–158. https://doi.org/10.1016/j.socscimed.2015.01.028
  • Maturo, A., & Setiffi, F. (2016). The gamification of risk: How health apps foster self-confidence and why this is not enough. Health, Risk & Society, 17(7–8), 477–494. https://doi.org/10.1080/13698575.2015.1136599
  • Mendiola, M. F., Kalnicki, M., & Lindenauer, S. (2015). Valuable features in mobile health apps for patients and consumers: Content analysis of apps and user ratings. JMIR mHealth and uHealth, 3(2), e4283. https://doi.org/10.2196/mhealth.4283
  • Merriam-Webster (2014). Definition of medicine. Retrieved January 21, 2014, from http://www.merriam-webster.com/dictionary/
  • Miao, L., & Kim, J. (2017). Research of animation movie marketing strategy in AISAS Model- A case study of “Zootopia”. TECHART: Journal of Arts and Imaging Science, 4(4), 28–30. https://doi.org/10.15323/techart.2017.11.4.4.28
  • Milward, J., Deluca, P., Drummond, C., & Kimergård, A. (2018). Developing typologies of user engagement with the BRANCH alcohol-harm reduction smartphone app: Qualitative study. JMIR mHealth and uHealth, 6(12), e11692. https://doi.org/10.2196/11692
  • Morgan, C., & Cotten, S. R. (2003). The relationship between internet activities and depressive symptoms in a sample of college freshmen. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 6(2), 133–142. https://doi.org/10.1089/109493103321640329
  • Mosa, A. S. M., Yoo, I., & Sheets, L. (2012). A systematic review of healthcare applications for smartphones. BMC Medical Informatics and Decision Making, 12(1), 1–31. https://doi.org/10.1186/1472-6947-12-67
  • Muntinga, T., & Taylor, G. (2018). Information-seeking strategies in medicine queries: A clinical eye-tracking study with gaze-cued retrospective think-aloud protocol. International Journal of Human–Computer Interaction, 34(6), 506–518. https://doi.org/10.1080/10447318.2017.1368949
  • Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
  • Parasuraman, A., Zeithaml, V., & 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
  • Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications.
  • Pelawi, Y. N., Irwansyah, & Aprilia, M. P. (2019). Implementation of marketing communication strategy in attention, interest, search, action, and share (AISAS) model through vlog [Paper presentation]. 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) (pp. 604–607), Singapore. https://doi.org/10.1109/CCOMS.2019.8821721
  • Petter, S., Straub, D. W., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656. https://doi.org/10.2307/25148814
  • Pierce, B., Twohig, M. P., & Levin, M. E. (2016). Perspectives on the use of acceptance and commitment therapy related mobile apps: Results from a survey of students and professionals. Journal of Contextual Behavioral Science, 5(4), 215–224. https://doi.org/10.1016/j.jcbs.2016.08.001
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • Reddy, R. K., Majmudar, M. D., Dhopeshwarkar, N., Vacaro, V., Isselbacher, E. M., & Bhatt, A. B. (2018). Mobile health apps preferences and practice among ambulatory cardiovascular patients. Future Cardiology, 14(5), 381–388.
  • Richman, A. R., Webb, M. C., Brinkley, J., & Martin, R. J. (2014). Sexual behaviour and interest in using a sexual health mobile app to help improve and manage college students’ sexual health. Sex Education, 14(3), 310–322. https://doi.org/10.1080/14681811.2014.889604
  • Ringle, C. M., Wende, S., Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. http://www.smartpls.com
  • Rini, M., & Harahab, N. (2018). The influence of endorser in social media toward consumer decision making with AISAS model (attention, interest, search, action, and share). Economic and Social Fisheries and Marine, 6(1), 106–118. https://doi.org/10.21776/ub.ecsofim.2018.006.01.10
  • Robbins, R., Krebs, P., Jagannathan, R., Jean-Louis, G., & Duncan, D. T. (2017). Health app use among us mobile phone users: Analysis of trends by chronic disease status. JMIR mHealth and uHealth, 5(12), e197. https://doi.org/10.2196/mhealth.7832
  • Saberi, P., Siedle-Khan, R., Sheon, N. M., & Lightfoot, M. (2016). The use of mobile health applications among youth and young adults living with HIV: Focus group findings. AIDS Patient Care and STDs, 30(6), 254–260. https://doi.org/10.1089/apc.2016.0044
  • Sengupta, S. S., & Nicosia, F. M. (1969). Consumer decision processes: Marketing and advertising implications. Econometrica, 37(1), 166. https://doi.org/10.2307/1909226
  • Shemesh, T., & Barnoy, S. (2020). Assessment of the intention to use mobile health applications using a technology acceptance model in an Israeli adult population. Telemedicine and e-Health, 26(9), 1141–1149. https://doi.org/10.1089/tmj.2019.0144
  • Shen, C., Wang, M. P., Chu, J. T., Wan, A., Viswanath, K., Chan, S., & Lam, T. H. (2017). Health app possession among smartphone or tablet owners in Hong Kong: Population-based survey. JMIR mHealth and uHealth, 5(6), e77. https://doi.org/10.2196/mhealth.7628
  • Shen, X., Lee, M., & Cheung, C. M. (2014). Exploring online social behavior in crowdsourcing communities: A relationship management perspective. Computers in Human Behavior, 40(C), 144–151. https://doi.org/10.1016/j.chb.2014.08.006
  • Shen, X., Lee, M., Cheung, C. M., & Chen, H. (2009). An Investigation into contribution I-Intention and We-Intention in open web-based encyclopedia: Roles of joint commitment and mutual agreement. ICIS 2009 Proceedings: Thirtieth International Conference on Information Systems. Association for Information Systems. https://aisel.aisnet.org/icis2009/7/
  • Shen, X., Lee, M., Cheung, C. M., & Chen, H. (2010). Gender differences in intentional social action: We-intention to engage in social network-facilitated team collaboration. Journal of Information Technology, 25(2), 152–169. https://doi.org/10.1057/jit.2010.12
  • Sinha Deb, K., Tuli, A., Sood, M., Chadda, R. K., Verma, R., Kumar, S., Ganesh, R., & Singh, P. (2018). Is India ready for mental health apps (MHApps)? A quantitative-qualitative exploration of caregivers’ perspective on smartphone-based solutions for managing severe mental illnesses in low resource settings. PloS One, 13(9), e0203353. https://doi.org/10.1371/journal.pone.0203353
  • Sumerta, I. K., Widyagoca, I. G. P. A., & Meryawan, I. W. (2019). Online consumer behavior on using social media on E-commerce, based on the AISAS model approach. Case study; Bukalapak, Tokopedia and Blili.com. International Journal of Advanced Trends in Computer Science and Engineering, 8(1.5), 234–242. https://doi.org/10.30534/ijatcse/2019/4281.52019
  • Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relation (pp. 7–24). Hall Publishers.
  • Tajfel, H. (1982). Social psychology of intergroup relations. Annual Review of Psychology, 33(1), 1–39. https://doi.org/10.1146/annurev.ps.33.020182.000245
  • Tinsley, H. E., & Tinsley, D. J. (1987). Uses of factor analysis in counseling psychology research. Journal of Counseling Psychology, 34(4), 414–424. https://doi.org/10.1037/0022-0167.34.4.414
  • Tran, B. X., Zhang, M. W., Le, H. T., Nguyen, H. D., Nguyen, L. H., Nguyen, Q. L., Tran, T. D., Latkin, C. A., & Ho, R. C. (2018). What drives young Vietnamese to use mobile health innovations? Implications for health communication and behavioral interventions. JMIR mHealth and uHealth, 6(11), e194. https://doi.org/10.2196/mhealth.6490
  • Tuman, M., & Moyer, A. (2019). Health intentions and behaviors of health app owners: A cross-sectional study. Psychology, Health & Medicine, 24(7), 819–826. https://doi.org/10.1080/13548506.2019.1576911
  • Ullal, M. S., & Hawaldar, I. T. (2018). Influence of advertisement on customers based on AIDA model. Problems and Prospective in Management, 16(4), 285–298. http://dx.doi.org/10.21511/ppm.16(4).2018.24
  • Vaghefi, I., & Tulu, B. (2019). The continued use of mobile health apps: Insights from a longitudinal study. JMIR mHealth and uHealth, 7(8), e12983. https://doi.org/10.2196/12983
  • Victor, T. C. (1989). Marketing implications for attractions. Tourism Management, 10(3), 229–232. https://doi.org/10.1016/0261-5177(89)90080-0
  • Wang, C., & Qi, H. (2021). Influencing factors of acceptance and use behavior of mobile health application users: Systematic review. Healthcare (Basel, Switzerland), 9(3), 357. https://doi.org/10.3390/healthcare9030357
  • Wang, J., Jackson, L. A., Gaskin, J. E., & Wang, H. (2014). The effects of social networking site (SNS) use on college students’ friendship and well-being. Computers in Human Behavior, 37(C), 229–236. https://doi.org/10.1016/j.chb.2014.04.051
  • Wang, S. L., & Lin, H. I. (2019). Integrating TTF and IDT to evaluate user intention of big data analytics in mobile cloud healthcare system. Behaviour & Information Technology, 38(9), 974–985. https://doi.org/10.1080/0144929X.2019.1626486
  • Wang, W. T., & Lin, Y. L. (2021). An integrated theoretical investigation of healthcare students’ perceived compatibility using online learning systems on their learning performance. Journal of Internet Technology, 22(1), 143–155. https://doi.org/10.3966/160792642021012201014
  • Wang, W. T., & Lin, Y. (2021). Evaluating factors influencing knowledge-sharing behavior of students in online problem-based learning. Frontiers in Psychology, 12, 691755. https://doi.org/10.3389/fpsyg.2021.691755
  • Wei, P. S., & Lu, H. P. (2013). An examination of the celebrity endorsements and online customer reviews influence female consumers’ shopping behavior. Computers in Human Behavior, 29(1), 193–201. https://doi.org/10.1016/j.chb.2012.08.005
  • Wetzels, M., Odekerken-Schröder, G., & Oppen, C. V. (2009). Using PLS path modeling for assessing hierarchial construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177–195. https://doi.org/10.2307/20650284
  • Wu, J., Wang, S., & Tsai, H. (2009). Why do players stick to a specific online game? The users and gratifications perspective. 15th Americas Conference on Information Systems. AMCIS 2009. 4. 351, San Francisco, United States. http://aisel.aisnet.org/amcis2009/351
  • Xue, L., Shen, C., Morrison, A. M., & Kuo, L. (2021). Online tourist behavior of the net generation: An empirical analysis in Taiwan based on the AISAS model. Sustainability, 13(5), 2781. https://doi.org/10.3390/su13052781
  • Yin, S., Cai, X., Wang, Z., Zhang, Y., Luo, S., & Ma, J. (2022). Impact of gamification elements on user satisfaction in health and fitness applications: A comprehensive approach based on the Kano model. Computers in Human Behavior, 128(C), 107106. https://doi.org/10.1016/j.chb.2021.107106
  • Zhao, M. Y., Ong, S. K., & Nee, A. (2016). An augmented reality-assisted therapeutic healthcare exercise system based on bare-hand interaction. International Journal of Human–Computer Interaction, 32(9), 708–721. https://doi.org/10.1080/10447318.2016.1191263
  • Zhou, L., Bao, J., Watzlaf, V., & Parmanto, B. (2019). Barriers to and facilitators of the use of mobile health apps from a security perspective: Mixed-methods study. JMIR mHealth and uHealth, 7(4), e11223. https://doi.org/10.2196/11223

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