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題名 電子化醫療服務採用：兩階段分析
E-health Service Adoption: A Two-phase Analysis
作者 林顯宗
Lin, Hsien-Tsung
貢獻者 張欣綠
Chang, Hsin-Lu
林顯宗
Lin, Hsien-Tsung
關鍵詞 E-health
Service concept
Elaboration likelihood model
Symbolic adoption
Use adoption
日期 2020
上傳時間 3-Aug-2020 17:35:36 (UTC+8)
摘要 E-health has been comprehensively discussed over the past few years. Although e-health’s potential to improve quality of care has been well-discussed in past literature, the usage of e-health is still low. Therefore, we aim to examine the items that can persuade people to try e-health services and those items that can persuade people to sustain the use of e-health. We integrate the service concept, elaboration likelihood model (ELM) and symbolic adoption model to examine users’ attitude changes across different adoption phases. Moreover, individual differences, including user involvement and expertise source, are considered moderators in this paper. Our survey respondents include two types of users: potential and experienced users. In our study, we quantify the influence of e-health items and the relationship between these items and the adoption process, distinguish which items can arouse users’ interest the most, and rationalize resource allocation when hospitals provide new e-health services.
參考文獻 Almeida, J. P., Van Sinderen, M., Pires, L. F., & Quartel, D. (2003). A systematic approach to platform-independent design based on the service concept. 7th IEEE International Enterprise Distributed Object Computing Conference, 112–123.
Anderson, S., Pearo, L. K., & Widener, S. K. (2008). Drivers of service satisfaction: Linking customer satisfaction to the service concept and customer characteristics. Journal of Service Research, 10(4), 365–381.
Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370.
Angst, C. M., Block, E. S., D’Arcy, J., & Kelley, K. (2017). When do it security investments matter? Accounting for the influence of institutional factors in the context of healthcare data breaches. MIS Quarterly, 41(3), 893–916.
Bansal, G., Zahedi, F. M., & Gefen, D. (2015). The role of privacy assurance mechanisms in building trust and the moderating role of privacy concern. European Journal of Information Systems, 24(6), 624–644.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825.
Bigelow, B., & Arndt, M. (2005). Transformational change in health care: changing the question. Hospital Topics, 83(2), 19–26.
Bitner, M. J., & Obermiller, C. (1985). The elaboration likelihood model: Limitations and extensions in marketing. Advances in Consumer Research, 12(1), 420–425.
Bohlen, J. M., & Beal, G. M. (1957). The Diffusion Process. Special Report, Agriculture Extension Service, 18, 56–77.
Box, G. E. P. (1949). A General Distribution Theory for a Class of Likelihood Criteria. Biometrika, 36(3–4), 317–346.
Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information Systems Research, 28(3), 468–489.
Büyüköztürk, Ş., & Çokluk-Bökeoǧlu, Ö. (2008). Discriminant function analysis: Concept and application. Eurasian Journal of Educational Research, 33, 73–92.
Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460-473.
Chang, H. L., Shaw, M. J., Lai, F., Ko, W. J., Ho, Y. L., Chen, H. S., & Shu, C. C. (2010). U-Health: An example of a high-quality individualized healthcare service. Personalized Medicine, 7(6), 677–687.
Chang, H. L., Szu, W. W., & Tu, Y. J. (2017). Drivers of eHealth adoption: Linking eHealth adoption to service concept. International Conference on Electronic Business (ICEB), 85–92.
Chen, S. H., Wen, P. C., & Yang, C. K. (2014). Business concepts of systemic service innovations in e-Healthcare. Technovation, 34(9), 513–524.
Chen, Y., Yang, L., Zhang, M., & Yang, J. (2018). Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics, 116, 33–45.
Cheung, M.-Y. C., Sia, C.-L., & Kuan, K. K. Y. (2012). Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective. Journal of the Association for Information Systems, 13(8), 618–635.
Cho, S., Mathiassen, L., & Nilsson, A. (2008). Contextual dynamics during health information systems implementation: an event-based actor-network approach. European Journal of Information Systems, 17, 614–630.
Corchado, J. M., Bajo, J., Paz, Y. de, & Tapia, D. I. (2008). Intelligent environment for monitoring Alzheimer patients, agent technology for health care. Decision Support Systems, 44(2), 382–396.
Cortina, J. M. (1993). What Is Coefficient Alpha? An Examination of Theory and Applications. Journal of Applied Psychology, 78(1), 98–104.
Dinev, T. (2014). Why would we care about privacy? European Journal of Information Systems, 23, 97–102.
Dinoff, B. L., & Kowalski, R. M. (1999). Reducing aids risk behavior: The combined efficacy of protection motivation theory and the elaboration likelihood model. Journal of Social and Clinical Psychology, 18(2), 223–239.
Dutta-Bergman, M. J. (2004). The impact of completeness and web use motivation on the credibility of e-health information. Journal of Communication, 54(2), 253–269.
Edvardsson, B., Gustafsson, A., & Roos, I. (2005). Service portraits in service research: A critical review. International Journal of Service Industry Management, 16(1), 107–121.
Edvardsson, B., & Olsson, J. (1996). Key concepts for new service development. Service Industries Journal, 16(2), 140–164.
Farzandipour, M., Mohamadian, H., & Sohrabi, N. (2016). Intention of Continuing to use the Hospital Information System: Integrating the elaboration-likelihood, social influence and cognitive learning. Electronic Physician, 8(12), 3385–3394.
Fields, D. M., & Greco, A. J. (1991). A Model Of The Adoption Process For Revolutionary Product Innovations. JOURNAL OF MANAGERIAL ISSUES, 3(4), 528–548.
Friedman, J. H. (1989). Regularized discriminant analysis. Journal of the American Statistical Association, 84(405), 165–175.
Fu, F., & Elliott, M. (2013). The moderating effect of perceived product innovativeness and product knowledge on new product adoption: An integrated model. Journal of Marketing Theory and Practice, 21(3), 257–272.
Fynes, B., & Lally, A. M. (2008). Innovation in Services: From Service Concepts to Service Experiences. 329–333.
Goh, J. M., Gao, G. G., & Agarwal, R. (2016). The creation of social value: Can an online health community reduce rural-urban health disparities? MIS Quarterly, 40(1), 247–263.
Goldstein, S. M., Johnston, R., Duffy, J., & Raod, J. (2002). The service concept: the missing link in service design research? Journal of Operations Management, 20(2), 121–134.
Grossbart, S. L., Mittelstaedt, R. A., & DeVere, S. P. (1976). Customer Stimulation Needs and Innovative Shopping Behavior: the Case of Recycled Urban Places. ACR North American Advances.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson Education Limited.
Hamilton, L. C. (2013). Normality Tests and Transformations. In Statistics with STATA: Version 12 (8th ed., pp. 129–132). Cengage Learning.
Hamilton, M. A., Hunter, J. E., & Boster, F. J. (1993). The Elaboration Likelihood Model as a Theory of Attitude Formation: A Mathematical Analysis. Communication Theory, 3(1), 50–65.
Hanseth, O., & Bygstad, B. (2015). Flexible generification: ICT standardization strategies and service innovation in health care. European Journal of Information Systems, 24(6), 645–663.
Jahng, J., Jain, H., & Ramamurthy, K. (2007). Effects of interaction richness on consumer attitudes and behavioral intentions in e-commerce: Some experimental results. European Journal of Information Systems, 16(3), 254–269.
Kandampully, J. (1998). Service quality to service loyalty : A relationship which goes beyond customer services. Total Quality Management, 9(6), 431–443.
Kaner, M., & Karni, R. (2006). A knowledge framework for a service concept. 6th International Conference on Knowledge Management, 231–235.
Karahanna, E., & Agarwal, R. (2006). When the spirit is willing: Symbolic adoption and technology exploration.
Kim, D., & Benbasat, I. (2009). Trust-assuring arguments in B2C e-commerce: Impact of content, source, and price on trust. Journal of Management Information Systems, 26(3), 175–206.
Kim, S., & Yoon, B. (2014). A systematic approach for new service concept generation: Application of agent-based simulation. Expert Systems with Applications, 41(6), 2793–2806.
Klonglan, G. E., & Coward, E. W. J. (1970). The concept of symbolic adoption: A Suggested Interpretation. Rural Sociology, 35(1), 77–83.
Kohli, R., & Tan, S. S. L. (2016). Electronic health records: How can is researchers contribute to transforming healthcare? MIS Quarterly, 40(3), 553–573.
Kontos, E., Blake, K. D., Chou, W. Y. S., & Prestin, A. (2014). Predictors of ehealth usage: Insights on the digital divide from the health information national trends survey 2012. Journal of Medical Internet Research, 16(7), e172.
Konu, H., Tuohino, A., & Komppula, R. (2010). Lake wellness - a practical example of a new service development (NSD) concept in tourism industries. Journal of Vacation Marketing, 16(2), 125–139.
Koo, C., Lim, M. K., & Park, K. (2014). E-Smart Health Information Adoption Processes: Central versus Peripheral Route*. Asia Pacific Journal of Information Systems, 24(1), 67–93.
Koufteros, X. A. (1999). Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling. Journal of Operations Management, 17(4), 467–488.
Lally, A. M., & Fynes, B. (2006). Articulating service concept to enhance tourism experience design. Annual Conference of the Irish Academy of Management.
Lee, W. K. (2012). An elaboration likelihood model based longitudinal analysis of attitude change during the process of IT acceptance via education program. Behaviour and Information Technology, 31(12), 1161–1171.
Li, J., Talaei-Khoei, A., Seale, H., Ray, P., & MacIntyre, C. R. (2013). Health Care Provider Adoption of eHealth: Systematic Literature Review. Interactive Journal of Medical Research, 2(1), e7.
Linear and Quadratic Discriminant Analysis · UC Business Analytics R Programming Guide. (2019). Retrieved June 12, 2020, from https://uc-r.github.io/discriminant_analysis
Lowry, P. B., Moody, G., Vance, A., Jensen, M., Jenkins, J., & Wells, T. (2012). Using an Elaboration Likelihood Approach to Better Understand the Persuasiveness of Website Privacy Assurance Cues for Online Consumers. Journal of the Association for Information Science and Technology, 63(4), 755–776.
Lue, C. P. (2008). Exploring risk factors in implementing service-oriented IT projects (National Chengchi University). Retrieved from http://140.119.115.26/bitstream/140.119/36945/1/601701.pdf
Meservy, T. O., Jensen, M. L., & Fadel, K. J. (2014). Evaluation of competing candidate solutions in electronic networks of practice. Information Systems Research, 25(1), 15–34.
Miscione, G. (2007). Telemedicine in the Upper Amazon: Interplay with Local Health Care Practices. MIS Quarterly, 31(2), 403–425.
Mishra, A. N., Anderson, C., Angst, C. M., & Agarwal, R. (2012). Electronic Health Records Assimilation and Physician Identity Evolution: An Identity Theory Perspective. Information Systems Research, 23(3-part-1), 738–760.
Mittelstaedt, R. A., Grossbart, S. L., Curtis, W. W., & Devere, S. P. (1976). Optimal Stimulation Level and the Adoption Decision Process. Journal of Consumer Research, 3(2), 84.
Nah, F., & Benbasat, I. (2004). Knowledge-based Support in a Group Decision Making Context: An Expert-Novice Comparison. Journal of the Association for Information Systems, 5(3), 125–150.
Nah, F. F. H., Tan, X., & Teh, S. H. (2004). An empirical investigation on end-users’ acceptance of enterprise systems. Information Resources Management Journal, 17(3), 32–53.
Petty, R.E, & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 1–24.
Petty, Richard E., Barden, J., & Wheeler, S. C. (2009). The Elaboration Likelihood Model of persuasion: Developing health promotions for sustained behavioral change.
Petty, Richard E, Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847–855.
Petty, Richard E, Cacioppo, J. T., & Schumann, D. (1983). Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement. Journal of Consumer Research, 10(2), 135.
Rawstorne, P., Jayasuriya, R., & Caputi, P. (1998). An Integrative Model of Information Systems Use in Mandatory Environments. International Conference on Information Systems (ICIS), 325–330.
Sapp, S. G., & Korsching, P. F. (2004). The social fabric and innovation diffusion: Symbolic adoption of food irradiation. Rural Sociology, 69(3), 347–369.
Seymour, L., Makanya, W., & Berrange, S. (2007). End-Users’ Acceptance of Enterprise Resource Planning Systems: An Investigation of Antecedents. 6th Annual ISOnEworld Conference, 26.1-26.22.
Smith, A. M., Fischbacher, M., & Wilson, F. A. (2007). New Service Development: From Panoramas to Precision. European Management Journal, 25(5), 370–383.
Stuart, F. I., & Tax, S. (2004). Toward an integrative approach to designing service experiences Lessons learned from the theatre. Journal of Operations Management, 22(6), 609–627.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65.
Szu, W. W., Chang, H. L., & Chuang, B. K. (2016). Designing a service portfolio for a Taiwanese hospital telecare center. Pacific Asia Conference on Information Systems (PACIS).
Tam, K. Y., & Ho, S. Y. (2005). Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective. Information Systems Research, 16(3), 271–291.
Toulmin, S. E. (2003). The Use of Argument (Updated). Cambridge University Press.
Tsai, W. H., Hsu, W., & Lin, T. W. (2011). New financial service development for banks in Taiwan based on customer needs and expectations. Service Industries Journal, 31(2), 215–236.
Tseng, S. Y., & Wang, C. N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289–2296.
Vandelanotte, C., Müller, A. M., Short, C. E., Hingle, M., Nathan, N., Williams, S. L., Lopez, M.L., Parekh,S., Maher, C. A. (2016). Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior, 48(3), 219–228.
Varshney, U. (2014). Mobile health: Four emerging themes of research. Decision Support Systems, 66, 20–35.
Vissers, C., & Logrippo, L. (1986). The Importance of the Service Concept in the Design of data Communications Protocols. Protocol Specification, Testing, and Verification, V, (1), 3–17.
Wagner, B. C., & Petty, R. E. (2011). The elaboration likelihood model of persuasion: Thoughtful and non-thoughtful social influence. Theories in Social Psychology, 96–116.
Wang, W., & Hsieh, J. J. P.-A. (2006). Beyond Routine: Symbolic Adoption, Extended Use, and Emergent Use of Complex Information Systems in the Mandatory Organizational Context. International Conference on Information Systems (ICIS), 733–750.
Wilkening, E. A. (1953). Adoption of Improved Farm Practices As Related to Family Factors. In AES Research Bulletin no. 183, University of Wisconsin, Madison (Vol. 183). Agricultural Experiment Station, University of Wisconsin, 1953.
Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139–153.
World Health Organization. (2018). eHealth at WHO. Retrieved September 20, 2019, from World Health Organization website: https://www.who.int/ehealth/about/en/
Xiao, N., Sharman, R., Rao, H. R., & Upadhyaya, S. (2014). Factors influencing online health information search: An empirical analysis of a national cancer-related survey. Decision Support Systems, 57(1), 417–427.
描述 碩士
國立政治大學
資訊管理學系
107356009
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107356009
資料類型 thesis
dc.contributor.advisor 張欣綠zh_TW
dc.contributor.advisor Chang, Hsin-Luen_US
dc.contributor.author (Authors) 林顯宗zh_TW
dc.contributor.author (Authors) Lin, Hsien-Tsungen_US
dc.creator (作者) 林顯宗zh_TW
dc.creator (作者) Lin, Hsien-Tsungen_US
dc.date (日期) 2020en_US
dc.date.accessioned 3-Aug-2020 17:35:36 (UTC+8)-
dc.date.available 3-Aug-2020 17:35:36 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2020 17:35:36 (UTC+8)-
dc.identifier (Other Identifiers) G0107356009en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/130977-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 107356009zh_TW
dc.description.abstract (摘要) E-health has been comprehensively discussed over the past few years. Although e-health’s potential to improve quality of care has been well-discussed in past literature, the usage of e-health is still low. Therefore, we aim to examine the items that can persuade people to try e-health services and those items that can persuade people to sustain the use of e-health. We integrate the service concept, elaboration likelihood model (ELM) and symbolic adoption model to examine users’ attitude changes across different adoption phases. Moreover, individual differences, including user involvement and expertise source, are considered moderators in this paper. Our survey respondents include two types of users: potential and experienced users. In our study, we quantify the influence of e-health items and the relationship between these items and the adoption process, distinguish which items can arouse users’ interest the most, and rationalize resource allocation when hospitals provide new e-health services.en_US
dc.description.tableofcontents CHAPTER ONE: INTRODUCTION 1
CHAPTER TWO: CONCEPTUAL BACKGROUND 3
2.1. Service concept 3
2.2. Symbolic adoption 5
2.3. Elaboration likelihood model 7
CHAPTER THREE: RESEARCH FRAMEWORK 11
3.1. The Central and Peripheral Cues of the ELM 11
3.2. Symbolic Adoption in the Concept of the ELM 12
3.3. Use Adoption in the Concept of the ELM 13
3.4. The moderator of the ELM 14
CHAPTER FOUR: RESEARCH METHODOLOGY 17
4.1 Service introduction 17
4.2 Data Collection 22
4.3 Instrument 23
4.4 Instrument Validation 24
CHAPTER FIVE: DATA ANALYSIS AND RESULT 29
5.1 Mean Value Analysis 29
5.2 Discriminant function analysis 31
CHAPTER SIX: DISCUSSION 46
CHAPTER SEVEN: CONCLUSION 49
7.1 Summary 49
7.2 Contributions 50
7.3 Limitations 50
REFERENCE 52
APPENDIX A. QUESTIONNAIRE OF PROSPECTIVE CUSTOMERS (ENGLISH VERSION) 59
APPENDIX B. QUESTIONNAIRE OF THE FEEDBACK OF CASE (ENGLISH VERSION) 62
APPENDIX C. QUESTIONNAIRE OF PROSPECTIVE CUSTOMERS (CHINESE VERSION) 65
APPENDIX D. QUESTIONNAIRE OF THE FEEDBACK OF CASE (CHINESE VERSION) 68		zh_TW
dc.format.extent 5134796 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107356009en_US
dc.subject (關鍵詞) E-healthen_US
dc.subject (關鍵詞) Service concepten_US
dc.subject (關鍵詞) Elaboration likelihood modelen_US
dc.subject (關鍵詞) Symbolic adoptionen_US
dc.subject (關鍵詞) Use adoptionen_US
dc.title (題名) 電子化醫療服務採用：兩階段分析zh_TW
dc.title (題名) E-health Service Adoption: A Two-phase Analysisen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Almeida, J. P., Van Sinderen, M., Pires, L. F., & Quartel, D. (2003). A systematic approach to platform-independent design based on the service concept. 7th IEEE International Enterprise Distributed Object Computing Conference, 112–123.
Anderson, S., Pearo, L. K., & Widener, S. K. (2008). Drivers of service satisfaction: Linking customer satisfaction to the service concept and customer characteristics. Journal of Service Research, 10(4), 365–381.
Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370.
Angst, C. M., Block, E. S., D’Arcy, J., & Kelley, K. (2017). When do it security investments matter? Accounting for the influence of institutional factors in the context of healthcare data breaches. MIS Quarterly, 41(3), 893–916.
Bansal, G., Zahedi, F. M., & Gefen, D. (2015). The role of privacy assurance mechanisms in building trust and the moderating role of privacy concern. European Journal of Information Systems, 24(6), 624–644.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825.
Bigelow, B., & Arndt, M. (2005). Transformational change in health care: changing the question. Hospital Topics, 83(2), 19–26.
Bitner, M. J., & Obermiller, C. (1985). The elaboration likelihood model: Limitations and extensions in marketing. Advances in Consumer Research, 12(1), 420–425.
Bohlen, J. M., & Beal, G. M. (1957). The Diffusion Process. Special Report, Agriculture Extension Service, 18, 56–77.
Box, G. E. P. (1949). A General Distribution Theory for a Class of Likelihood Criteria. Biometrika, 36(3–4), 317–346.
Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information Systems Research, 28(3), 468–489.
Büyüköztürk, Ş., & Çokluk-Bökeoǧlu, Ö. (2008). Discriminant function analysis: Concept and application. Eurasian Journal of Educational Research, 33, 73–92.
Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460-473.
Chang, H. L., Shaw, M. J., Lai, F., Ko, W. J., Ho, Y. L., Chen, H. S., & Shu, C. C. (2010). U-Health: An example of a high-quality individualized healthcare service. Personalized Medicine, 7(6), 677–687.
Chang, H. L., Szu, W. W., & Tu, Y. J. (2017). Drivers of eHealth adoption: Linking eHealth adoption to service concept. International Conference on Electronic Business (ICEB), 85–92.
Chen, S. H., Wen, P. C., & Yang, C. K. (2014). Business concepts of systemic service innovations in e-Healthcare. Technovation, 34(9), 513–524.
Chen, Y., Yang, L., Zhang, M., & Yang, J. (2018). Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics, 116, 33–45.
Cheung, M.-Y. C., Sia, C.-L., & Kuan, K. K. Y. (2012). Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective. Journal of the Association for Information Systems, 13(8), 618–635.
Cho, S., Mathiassen, L., & Nilsson, A. (2008). Contextual dynamics during health information systems implementation: an event-based actor-network approach. European Journal of Information Systems, 17, 614–630.
Corchado, J. M., Bajo, J., Paz, Y. de, & Tapia, D. I. (2008). Intelligent environment for monitoring Alzheimer patients, agent technology for health care. Decision Support Systems, 44(2), 382–396.
Cortina, J. M. (1993). What Is Coefficient Alpha? An Examination of Theory and Applications. Journal of Applied Psychology, 78(1), 98–104.
Dinev, T. (2014). Why would we care about privacy? European Journal of Information Systems, 23, 97–102.
Dinoff, B. L., & Kowalski, R. M. (1999). Reducing aids risk behavior: The combined efficacy of protection motivation theory and the elaboration likelihood model. Journal of Social and Clinical Psychology, 18(2), 223–239.
Dutta-Bergman, M. J. (2004). The impact of completeness and web use motivation on the credibility of e-health information. Journal of Communication, 54(2), 253–269.
Edvardsson, B., Gustafsson, A., & Roos, I. (2005). Service portraits in service research: A critical review. International Journal of Service Industry Management, 16(1), 107–121.
Edvardsson, B., & Olsson, J. (1996). Key concepts for new service development. Service Industries Journal, 16(2), 140–164.
Farzandipour, M., Mohamadian, H., & Sohrabi, N. (2016). Intention of Continuing to use the Hospital Information System: Integrating the elaboration-likelihood, social influence and cognitive learning. Electronic Physician, 8(12), 3385–3394.
Fields, D. M., & Greco, A. J. (1991). A Model Of The Adoption Process For Revolutionary Product Innovations. JOURNAL OF MANAGERIAL ISSUES, 3(4), 528–548.
Friedman, J. H. (1989). Regularized discriminant analysis. Journal of the American Statistical Association, 84(405), 165–175.
Fu, F., & Elliott, M. (2013). The moderating effect of perceived product innovativeness and product knowledge on new product adoption: An integrated model. Journal of Marketing Theory and Practice, 21(3), 257–272.
Fynes, B., & Lally, A. M. (2008). Innovation in Services: From Service Concepts to Service Experiences. 329–333.
Goh, J. M., Gao, G. G., & Agarwal, R. (2016). The creation of social value: Can an online health community reduce rural-urban health disparities? MIS Quarterly, 40(1), 247–263.
Goldstein, S. M., Johnston, R., Duffy, J., & Raod, J. (2002). The service concept: the missing link in service design research? Journal of Operations Management, 20(2), 121–134.
Grossbart, S. L., Mittelstaedt, R. A., & DeVere, S. P. (1976). Customer Stimulation Needs and Innovative Shopping Behavior: the Case of Recycled Urban Places. ACR North American Advances.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson Education Limited.
Hamilton, L. C. (2013). Normality Tests and Transformations. In Statistics with STATA: Version 12 (8th ed., pp. 129–132). Cengage Learning.
Hamilton, M. A., Hunter, J. E., & Boster, F. J. (1993). The Elaboration Likelihood Model as a Theory of Attitude Formation: A Mathematical Analysis. Communication Theory, 3(1), 50–65.
Hanseth, O., & Bygstad, B. (2015). Flexible generification: ICT standardization strategies and service innovation in health care. European Journal of Information Systems, 24(6), 645–663.
Jahng, J., Jain, H., & Ramamurthy, K. (2007). Effects of interaction richness on consumer attitudes and behavioral intentions in e-commerce: Some experimental results. European Journal of Information Systems, 16(3), 254–269.
Kandampully, J. (1998). Service quality to service loyalty : A relationship which goes beyond customer services. Total Quality Management, 9(6), 431–443.
Kaner, M., & Karni, R. (2006). A knowledge framework for a service concept. 6th International Conference on Knowledge Management, 231–235.
Karahanna, E., & Agarwal, R. (2006). When the spirit is willing: Symbolic adoption and technology exploration.
Kim, D., & Benbasat, I. (2009). Trust-assuring arguments in B2C e-commerce: Impact of content, source, and price on trust. Journal of Management Information Systems, 26(3), 175–206.
Kim, S., & Yoon, B. (2014). A systematic approach for new service concept generation: Application of agent-based simulation. Expert Systems with Applications, 41(6), 2793–2806.
Klonglan, G. E., & Coward, E. W. J. (1970). The concept of symbolic adoption: A Suggested Interpretation. Rural Sociology, 35(1), 77–83.
Kohli, R., & Tan, S. S. L. (2016). Electronic health records: How can is researchers contribute to transforming healthcare? MIS Quarterly, 40(3), 553–573.
Kontos, E., Blake, K. D., Chou, W. Y. S., & Prestin, A. (2014). Predictors of ehealth usage: Insights on the digital divide from the health information national trends survey 2012. Journal of Medical Internet Research, 16(7), e172.
Konu, H., Tuohino, A., & Komppula, R. (2010). Lake wellness - a practical example of a new service development (NSD) concept in tourism industries. Journal of Vacation Marketing, 16(2), 125–139.
Koo, C., Lim, M. K., & Park, K. (2014). E-Smart Health Information Adoption Processes: Central versus Peripheral Route*. Asia Pacific Journal of Information Systems, 24(1), 67–93.
Koufteros, X. A. (1999). Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling. Journal of Operations Management, 17(4), 467–488.
Lally, A. M., & Fynes, B. (2006). Articulating service concept to enhance tourism experience design. Annual Conference of the Irish Academy of Management.
Lee, W. K. (2012). An elaboration likelihood model based longitudinal analysis of attitude change during the process of IT acceptance via education program. Behaviour and Information Technology, 31(12), 1161–1171.
Li, J., Talaei-Khoei, A., Seale, H., Ray, P., & MacIntyre, C. R. (2013). Health Care Provider Adoption of eHealth: Systematic Literature Review. Interactive Journal of Medical Research, 2(1), e7.
Linear and Quadratic Discriminant Analysis · UC Business Analytics R Programming Guide. (2019). Retrieved June 12, 2020, from https://uc-r.github.io/discriminant_analysis
Lowry, P. B., Moody, G., Vance, A., Jensen, M., Jenkins, J., & Wells, T. (2012). Using an Elaboration Likelihood Approach to Better Understand the Persuasiveness of Website Privacy Assurance Cues for Online Consumers. Journal of the Association for Information Science and Technology, 63(4), 755–776.
Lue, C. P. (2008). Exploring risk factors in implementing service-oriented IT projects (National Chengchi University). Retrieved from http://140.119.115.26/bitstream/140.119/36945/1/601701.pdf
Meservy, T. O., Jensen, M. L., & Fadel, K. J. (2014). Evaluation of competing candidate solutions in electronic networks of practice. Information Systems Research, 25(1), 15–34.
Miscione, G. (2007). Telemedicine in the Upper Amazon: Interplay with Local Health Care Practices. MIS Quarterly, 31(2), 403–425.
Mishra, A. N., Anderson, C., Angst, C. M., & Agarwal, R. (2012). Electronic Health Records Assimilation and Physician Identity Evolution: An Identity Theory Perspective. Information Systems Research, 23(3-part-1), 738–760.
Mittelstaedt, R. A., Grossbart, S. L., Curtis, W. W., & Devere, S. P. (1976). Optimal Stimulation Level and the Adoption Decision Process. Journal of Consumer Research, 3(2), 84.
Nah, F., & Benbasat, I. (2004). Knowledge-based Support in a Group Decision Making Context: An Expert-Novice Comparison. Journal of the Association for Information Systems, 5(3), 125–150.
Nah, F. F. H., Tan, X., & Teh, S. H. (2004). An empirical investigation on end-users’ acceptance of enterprise systems. Information Resources Management Journal, 17(3), 32–53.
Petty, R.E, & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 1–24.
Petty, Richard E., Barden, J., & Wheeler, S. C. (2009). The Elaboration Likelihood Model of persuasion: Developing health promotions for sustained behavioral change.
Petty, Richard E, Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847–855.
Petty, Richard E, Cacioppo, J. T., & Schumann, D. (1983). Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement. Journal of Consumer Research, 10(2), 135.
Rawstorne, P., Jayasuriya, R., & Caputi, P. (1998). An Integrative Model of Information Systems Use in Mandatory Environments. International Conference on Information Systems (ICIS), 325–330.
Sapp, S. G., & Korsching, P. F. (2004). The social fabric and innovation diffusion: Symbolic adoption of food irradiation. Rural Sociology, 69(3), 347–369.
Seymour, L., Makanya, W., & Berrange, S. (2007). End-Users’ Acceptance of Enterprise Resource Planning Systems: An Investigation of Antecedents. 6th Annual ISOnEworld Conference, 26.1-26.22.
Smith, A. M., Fischbacher, M., & Wilson, F. A. (2007). New Service Development: From Panoramas to Precision. European Management Journal, 25(5), 370–383.
Stuart, F. I., & Tax, S. (2004). Toward an integrative approach to designing service experiences Lessons learned from the theatre. Journal of Operations Management, 22(6), 609–627.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65.
Szu, W. W., Chang, H. L., & Chuang, B. K. (2016). Designing a service portfolio for a Taiwanese hospital telecare center. Pacific Asia Conference on Information Systems (PACIS).
Tam, K. Y., & Ho, S. Y. (2005). Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective. Information Systems Research, 16(3), 271–291.
Toulmin, S. E. (2003). The Use of Argument (Updated). Cambridge University Press.
Tsai, W. H., Hsu, W., & Lin, T. W. (2011). New financial service development for banks in Taiwan based on customer needs and expectations. Service Industries Journal, 31(2), 215–236.
Tseng, S. Y., & Wang, C. N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289–2296.
Vandelanotte, C., Müller, A. M., Short, C. E., Hingle, M., Nathan, N., Williams, S. L., Lopez, M.L., Parekh,S., Maher, C. A. (2016). Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior, 48(3), 219–228.
Varshney, U. (2014). Mobile health: Four emerging themes of research. Decision Support Systems, 66, 20–35.
Vissers, C., & Logrippo, L. (1986). The Importance of the Service Concept in the Design of data Communications Protocols. Protocol Specification, Testing, and Verification, V, (1), 3–17.
Wagner, B. C., & Petty, R. E. (2011). The elaboration likelihood model of persuasion: Thoughtful and non-thoughtful social influence. Theories in Social Psychology, 96–116.
Wang, W., & Hsieh, J. J. P.-A. (2006). Beyond Routine: Symbolic Adoption, Extended Use, and Emergent Use of Complex Information Systems in the Mandatory Organizational Context. International Conference on Information Systems (ICIS), 733–750.
Wilkening, E. A. (1953). Adoption of Improved Farm Practices As Related to Family Factors. In AES Research Bulletin no. 183, University of Wisconsin, Madison (Vol. 183). Agricultural Experiment Station, University of Wisconsin, 1953.
Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139–153.
World Health Organization. (2018). eHealth at WHO. Retrieved September 20, 2019, from World Health Organization website: https://www.who.int/ehealth/about/en/
Xiao, N., Sharman, R., Rao, H. R., & Upadhyaya, S. (2014). Factors influencing online health information search: An empirical analysis of a national cancer-related survey. Decision Support Systems, 57(1), 417–427.		zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202001039en_US