Determinants of Knowledge-Sharing Intentions for Shared Decision-Making Platforms

References

• Sackett DL. Evidence-based medicine. Semin Perinatol. 1997;21:3–5. doi:10.1016/s0146-0005(97)80013-4.
   PubMed Web of Science ®Google Scholar
• Coulter A, Cleary PD. Patients’ experiences with hospital care in five countries. Health Aff. 2001;20:244–52. doi:10.1377/hlthaff.20.3.244.
   Web of Science ®Google Scholar
• Krones T, Keller H, Becker A, So¨nnichsen A, Baum E, Donner-Banzhoff N. The theory of planned behaviour in a randomized trial of a decision aid on cardiovascular risk prevention. Patient Educ Couns. 2010;78:169–76. doi:10.1016/j.pec.2009.06.010.
   PubMed Web of Science ®Google Scholar
• Coulter A. National strategies for implementing shared decision making (engl.). 2018 [accessed 2020 July 16]. https://www.bertelsmann-stiftung.de/en/publications/publication/did/national-strategies-for-implementing-shared-decision-making-engl.
   Google Scholar
• Taiwan Health and Welfare. 2019 Taiwan health and welfare report. 2019. [accessed 2020 Dec 8]. https://www.mohw.gov.tw/lp-137-2.html.
   Google Scholar
• Gibson B, Butler J, Doyon K, Ellington L, Bray BE, Zeng Q. Veterans like me: formative evaluation of a patient decision aid design. J Biomed Inform. 2017;71:S46–S52. doi:10.1016/j.jbi.2016.09.007.
   Google Scholar
• Liao HH, Liang HW, Chen HC, Chang CI, Wang PC, Shih CL. Shared decision making in Taiwan. Z Evid Fortbild Qual Gesundh. 2017;123-124:95–98. doi:10.1016/j.zefq.2017.05.009.
   PubMed Web of Science ®Google Scholar
• Chen L, Nath R. A socio-technical perspective of mobile work. Inf Knowl Syst Manage. 2008;7:41–60.
   Google Scholar
• Chang HH, Chuang SS. Social capital and individual motivations on knowledge sharing: participant involvement as a moderator. Inf Manage. 2011;48:9–18. doi:10.1016/j.im.2010.11.001.
   Web of Science ®Google Scholar
• Rogers EM. Diffusion of innovations. 4nd ed. New York (NY): Free Press; 1995.
   Google Scholar
• Bhor M, Mason HL. Development and validation of a scale to assess attitudes of health care administrators toward the use of e-mail communication between patients and physicians. Res Social Adm Pharm. 2006;2:512–32. doi:10.1016/j.sapharm.2006.02.005.
   PubMedGoogle Scholar
• Reychav I, Najami I, Raban DR, McHaney R, Azuri J. The impact of media type on shared decision processes in third-age populations. Int J Med Inform. 2018;112:45–58. doi:10.1016/j.ijmedinf.2018.01.004.
   PubMed Web of Science ®Google Scholar
• Connor AMO, Légaré F, Stacey D. Risk communication in practice: the contribution of decision aids. Br Med J. 2003;327:736–40. doi:10.1136/bmj.327.7417.736.
   PubMedGoogle Scholar
• Leinweber KA, Columbo JA, Kang R, Trooboff SW. A review of decision aids for patients considering more than one type of invasive treatment. J Surg Res. 2019;235:350–66. doi:10.1016/j.jss.2018.09.01.
   PubMed Web of Science ®Google Scholar
• Joint Commission of Taiwan. Ministry of health and welfare, platform for shared decision making. 2020. [accessed 2020 Nov 18]. https://sdm.patientsafety.mohw.gov.tw/Public/List?sn=75.
   Google Scholar
• Hughes TM, Merath K, Chen Q, Sun S, Palmer E, Idrees JJ, Okunrintemi V, Squires M, Beal EW, Pawlik TM. Association of shared decision-making on patient-reported health outcomes and healthcare utilization. Am J Surg. 2018;216:7–12. doi:10.1016/j.amjsurg.2018.01.011.
   PubMed Web of Science ®Google Scholar
• Trist EL. Organizational choice. London (UK): Tavistock; 1963.
   Google Scholar
• Bostrom R, Heinen JS. MIS problems and failures: a soci-technical perspective. Part I: the causes. MIS Q. 1977;1:17–32. doi:10.2307/248710.
   Google Scholar
• Chai S, Kim M. A socio-technical approach to knowledge contribution behavior: an empirical investigation of social networking sites users. Int J Inf Manage. 2012;32:118–26. doi:10.1016/j.ijinfomgt.2011.07.004.
   Web of Science ®Google Scholar
• Liu Y, Dong S, Wei J, Tong Y. Assessing cloud computing value in firms through socio-technical determinants. Inf Manage. 2020;57:103369. doi:10.1016/J.IM.2020.103369.
   Web of Science ®Google Scholar
• Jacobs J. The death and life of great American cities. London (UK): Penguin Books; 1965.
   Google Scholar
• Nahapiet J, Ghoshal S. Social capital, intellectual capital and the organizational advantage. Acad Manage Rev. 1998;23(2):242–66. doi:10.2307/259373.
   Web of Science ®Google Scholar
• Nov O, Ye C, Kumar N. A social capital perspective on meta-knowledge contribution and social computing. Decis Support Syst. 2012;53:118–26. doi:10.1016/j.dss.2011.12.009.
   Web of Science ®Google Scholar
• Chiu CM, Hsu MH, Wang ETG. Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decis Support Syst. 2006;42:1872–88. doi:10.1016/j.dss.2006.04.001.
   Web of Science ®Google Scholar
• Lu Y, Yang D. Information exchange in virtual communities under extreme disaster conditions. Decis Support Syst. 2011;50:529–38. doi:10.1016/j.dss.2010.11.011.
   Web of Science ®Google Scholar
• Chow WS, Chan LS. Social network, social trust and shared goals in organizational knowledge sharing. Inf Manage. 2008;45:458–65. doi:10.1016/j.im.2008.06.007.
   Web of Science ®Google Scholar
• Hau YS, Kim Y. Extending lead user theory to users’ innovation-related knowledge sharing in the online user community: the mediating roles of social capital and perceived behavioral control. Int J Inf Manage. 2016;36:520–30. doi:10.1016/j.ijinfomgt.2016.02.008.
   Web of Science ®Google Scholar
• Horng SM, Wu CL. How behaviors on social network sites and online social capital influence social commerce intentions. Inf Manage. 2020;57:103176. doi:10.1016/j.im.2019.103176.
   Web of Science ®Google Scholar
• Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–40. doi:10.2307/249008.
   Web of Science ®Google Scholar
• Yi MY, Karahanna JD, Park JS, Probst JC. Understanding information technology acceptance by individual professionals: toward an integrative view. Inf Manage. 2006;43:350–63. doi:10.1016/j.im.2005.08.006.
   Web of Science ®Google Scholar
• Karahanna E, Straub DW, Chervany NL. Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q. 1999;23(2):183–213. doi:10.2307/249751.
   Web of Science ®Google Scholar
• Moore GC, Benbasat I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res. 1991;2(3):192–222. doi:10.1287/isre.2.3.192.
   Web of Science ®Google Scholar
• Jackson JD, Yi MY, Park JS. An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Inf Manage. 2013;50:154–61. doi:10.1016/j.im.2013.02.006.
   Web of Science ®Google Scholar
• Pillet JC, Carillo KAD. Email-free collaboration: an exploratory study on the formation of new work habits among knowledge workers. Int J Inf Manage. 2016;36:113–25. doi:10.1016/j.ijinfomgt.2015.11.001.
   Web of Science ®Google Scholar
• Tsai W, Ghoshal S. Social capital and value creation: the role of intra-firm network. Acad Manage J. 1998;41(4):464–76. doi:10.2307/257085.
   Web of Science ®Google Scholar
• Lee J. The effects of knowledge sharing on individual creativity in higher education institutions: socio-technical view. Adm Sci. 2018;8(21):1–16. doi:10.3390/admsci8020021.
   Google Scholar
• Lefebvre VM, Sorenson D, Henchion M, Gellynck X. Social capital and knowledge sharing performance of learning networks. Int J Inf Manage. 2016;36:570–79. doi:10.1016/j.ijinfomgt.2015.11.008.
   Web of Science ®Google Scholar
• Abrams LC, Cross R, Lesser E, Levin DZ. Nurturing interpersonal trust in knowledge-sharing networks. Acad Manage Executive. 2003;17:64–77. doi:10.5465/AME.2003.11851845.
   Web of Science ®Google Scholar
• Egea JMO, González MVR. Explaining physicians’ acceptance of EHCR systems: an extension of TAM. Comput Human Behav. 2011;27(1):319–32. doi:10.1016/j.chb.2010.08.010.
   Web of Science ®Google Scholar
• Oliveira T, Thomas M, Baptista G, Campos F. Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology. Comput Human Behav. 2016;61:404–14. doi:10.1016/j.chb.2016.03.030.
   Web of Science ®Google Scholar
• Turel O, Serenko A, Bontis N. User acceptance of hedonic digital artifacts: a theory of consumption values perspective. Inf Manage. 2012;47:53–59. doi:10.1016/j.im.2009.10.002.
   Web of Science ®Google Scholar
• Armstrong SJ, Overton TS. Estimating non-response bias in mail surveys. J Mark Res. 1977;14:396–402. doi:10.2307/3150783.
   Web of Science ®Google Scholar
• Fornell C, Larcker DF. Structural equation models with unobservable variables and measurement error: algebra and statistics. J Mark Res. 1981;18(3):382–88. doi:10.2307/3150980.
   Web of Science ®Google Scholar
• Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7nd ed. Upper Saddle River (NJ): Prentice-Hall; 2010.
   Google Scholar