The Influence of UTAUT2 Variables on Online Health Information Seeking Behavior for Symptoms Checking
Abstract
Keywords
Full Text:
PDFReferences
Chadha, S. (2023, December 12). How Southeast Asia can become a $1 trillion digital economy. World Economic Forum. https://www.weforum.org/stories/2023/12/how-southeast-asia-can-become-trillion-digital-economy/
Cimperman, M., Makovec Brenčič, M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model. International Journal of Medical Informatics, 90, 22–31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
Covolo, L., Guana, M., Bonaccorsi, G., Brunelli, L., Castaldi, S., De Donno, A., Mereu, A., Verani, M., & Gelatti, U. (2022). Exploring the Online Health Information-Seeking Behavior in a Sample of Italian Women: The “SEI Donna” Study. International Journal of Environmental Research and Public Health, 19(8), 4745. https://doi.org/10.3390/ijerph19084745
D. Wilson, T. (2000). Human Information Behavior. Informing Science: The International Journal of an Emerging Transdiscipline, 3(2), 049–056. https://doi.org/10.28945/576
Davis, F. D. (1989). Perceived usefulness, Perceived Ease of use, and User Acceptance of Information Technology. Journal of Risk and Uncertainty, 18(3), 321–325. https://doi.org/10.1023/a:1011156710779
Ellis, D. (1989). A Behavioural Approach to Information Retrieval System Design. Journal of Documentation, 45(3), 171–212. https://doi.org/10.1108/eb026843
Farnood, A., Johnston, B., & Mair, F. S. (2020). A mixed methods systematic review of the effects of patient online self-diagnosing in the “smart-phone society” on the healthcare professional-patient relationship and medical authority. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-01243-6
G., R., & Asokan A., A. (2017). Information seeking behavior causing satisfaction modification intentions. Journal of Indian Business Research, 9(4), 304–328. https://doi.org/10.1108/jibr-09-2016-0090
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Jia, X., Pang, Y., & Liu, L. S. (2021). Online Health Information Seeking Behavior: A Systematic Review. Healthcare, 9(12), 1740. https://doi.org/10.3390/healthcare9121740
Krikelas, J. (1983). Information-seeking behaviour: patterns and concepts. 19(2), 5–20. Drexel Library Quarterly.
Kuhlthau, C. C. (1991). Inside the search process: Information seeking from the user’s perspective. Journal of the American Society for Information Science, 42(5), 361–371. https://doi.org/10.1002/(sici)1097-4571(199106)42:5%3C361::aid-asi6%3E3.0.co;2-#
Moez Limayem, & Hirt, S. G. (2003). Force of Habit and Information Systems Usage: Theory and Initial Validation. AIS Electronic Library (AISeL). http://dx.doi.org/10.17705/1jais.00030
Mohd Isa, S., & Wong, K.-Y. (2017). Age Differences in Behavioral Intention to Use Internet Marketing: A Comparative Study Between Malaysian and Taiwanese. International Journal of Business and Society, 16(3). https://doi.org/10.33736/ijbs.574.2015
Schick, A. G., Gordon, L. A., & Haka, S. (1990). Information overload: A temporal approach. Accounting, Organizations and Society, 15(3), 199–220. https://doi.org/10.1016/0361-3682(90)90005-f
Schultz, U., & Vandenbosch, B. (1998). Information Overload in a Groupware Environment: Now You See It, Now You Don’t. Journal of Organizational Computing and Electronic Commerce, 8(2), 127–148. https://doi.org/10.1207/s15327744joce0802_3
Spink, A., & Cole, C. (2005). Human information behavior: Integrating diverse approaches and information use. Journal of the American Society for Information Science and Technology, 57(1), 25–35. https://doi.org/10.1002/asi.20249
Vasudeva, S. (2023). Age in the Acceptance of Mobile Social Media: A Comparison of Generation Y and Baby Boomers Using UTAUT2 Model. International Journal of E-Adoption (IJEA), 15(1), 1–24. https://ideas.repec.org/a/igg/jea000/v15y2023i1p1-24.html
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. JStor. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178.
Walsh, G., & Mitchell, V. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. European Journal of Marketing, 44(6), 838–859. https://doi.org/10.1108/03090561011032739
Wang, X., & Cohen, R. (2023, November 6). Products - Data Briefs - Number 482 - October 2023. Www.cdc.gov. https://www.cdc.gov/nchs/products/databriefs/db482.htm
DOI: https://doi.org/10.18860/mec-j.v9i2.32782
Refbacks
- There are currently no refbacks.
Editorial Office:
Faculty of Economics,
State Islamic University of Maulana Malik Ibrahim Malang
Gajayana Street 50, Malang-East Java, Indonesia 65144
Phone (+62) 341 558881, Facsimile (+62) 341 558881
e-mail: mecjournal@uin-malang.ac.id
P-ISSN 2599-3402
E-ISSN 2598-9537

MEC-J is licensed under Creative Commons Attribution–ShareAlike 4.0 International License (CC BY-SA 4.0)
MEC-J INDEXED IN:
Member of:







