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研究生: 陳玟仲
Then, Ivanto
論文名稱: 資訊準確性對情緒及信任影響之腦影像研究-以失智症知識內容為例
An fMRI Study of Information Accuracy Impact on Emotion and Trust: A Case of the Dementia Knowledge Content
指導教授: 謝佩璇
Hsieh, Pei-Hsuan
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理研究所
Institute of Information Management
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 137
中文關鍵詞: 知識創造情緒信任SOR理論fMRI
外文關鍵詞: knowledge creation, emotion, trust, SOR theory, fMRI
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  • 隨著人口老化,失智症患者不斷增加。網路提供的保健知識越來越多,但準確性令人存疑。使用者在網路上彼此分享外顯知識,稱為“systemizing ba”(知識創造過程中的組合階段)。從各來源獲得的不準確知識可能導致知識創造過程的謬誤,因此探討影響醫療保健知識創造過程的因素是非常重要的。
    本研究的目的是探討來自合法研究機構的不準確知識是如何影響個人情緒和信任程度的。過去的研究已經討論過網站品質對使用者情緒的影響,卻沒有研究具體探討知識準確性的影響,因此本研究將信息準確性作為刺激來擴展S-O-R(刺激 - 生物 - 反應)理論,利用fMRI(功能性磁共振成像)獲得接收者的行為資料,並觀察大腦中掌管情緒/知覺信任以及決策相關的區域。
    研究結果顯示,當知識水平較高的人接收來自合法機構的不準確知識會有較大的情緒以及較低的信任反應,且功能影像結果顯示腦島、前扣帶迴皮質(ACC)、內側前額葉皮質(mPFC)有被激化,而在正確知識的情況下,則是前額回和背內側前額葉皮質(dmPFC)呈現激化狀態。

    With the aging population, the number of patients with dementia is increasing. Providing healthcare to dementia patients requires caregivers to have relevant knowledge, and thus, the Internet is becoming an increasingly useful source of health information. However, online healthcare information can be obtained through various providers, and its accuracy is difficult to determine, thus raising the trustworthiness issues toward healthcare information providers or platforms. In the online health information context, peoples are engaged in sharing explicit knowledge with each other in the virtual world, which represents “systemizing ba” (a combination phase in the knowledge creation process). Inaccurate information/knowledge obtained from different sources may lead to fallacies in the knowledge creation process. Therefore, it is important to discuss factors influencing the knowledge creation process in healthcare. The purpose of this study is to explore how declarative type explicit knowledge obtained from healthcare websites/platforms may affect personal emotion and trust levels when some of the informational content is found to be inaccurate, specifically when the sources of information are from legitimate institutes or professional groups. Past research has discussed the impact of website quality on viewers’ emotions. However, no study has to date specifically considered the impact of information accuracy. Therefore, this study extends the S-O-R (Stimulus-Organism-Response) theory by including information accuracy as stimuli with the intention to observe knowledge receivers’ emotional state/trust perceptions and decisions. This study uses fMRI (functional Magnetic Resonance Imaging) technology to obtain behavioral data from information receivers and to observe specific brain areas related to emotion/trust perceptions and decision making. The results of this study indicated that information receivers who have a higher level of prior knowledge will have a significant emotional reaction and much lower trust level when viewing inaccurate information, especially when the source of the informational content is a legitimate institute. The functional imaging data revealed activation of the insula, anterior cingulate cortex (ACC), and medial prefrontal cortex (mPFC) under such conditions. In addition, the results indicated activation in the frontal gyrus and dorsomedial prefrontal cortex (dmPFC) in situations where the information was accurate.

    摘要 I Abstract II Acknowledgements IV Table of Contents VI List of Tables IX List of Figures XI Chapter 1 Introduction 1 1-1 Background and Motivation 1 1-2 Research Purposes 7 1-3 Research Scope and Limitations 7 1-4 Research Process 8 Chapter 2 Literature Review 10 2-1 Knowledge Creation in Healthcare – Dementia 10 2.1.1 Source of Knowledge 12 2.1.2 Type of Knowledge 18 2.1.3 Knowledge Creation Process 22 2-2 Factor Influencing Knowledge Creation Process in Healthcare – Dementia 27 2.2.1 Information Quality/Accuracy 28 2.2.2 Emotional State and Trust Judgment 32 2.2.3 Stimulus-Organism-Response (S-O-R) Theory 35 2-3 fMRI Research related to Emotion and Trust 38 2.3.1 Brain Imaging of Emotion-Evoked Tasks 38 2.3.2 Brain Imaging of Decision Making and Trust Judgment Tasks 42 2-4 Summary 50 Chapter 3 Research Methods 52 3-1 Research Model 52 3-2 Research Participants 52 3-3 Experimental situation and Tools 54 3-4 Experimental Procedures 63 3-5 Data Collection Method 64 3-6 fMRI Analysis Method 65 Chapter 4 Data Analysis 66 4-1 Pilot Study Analysis Results 66 4-2 Demographic background of the Formal Study Participants 71 4-3 fMRI Data Analysis 74 4.3.1 Behavioral data 74 4.3.2 fMRI imaging data 83 4-4 Interview Analysis 98 4-5 After Experiment Test Analysis Result 101 Chapter 5 Discussion and Conclusions 106 5-1 Discussion 106 5.1.1 Information accuracy impact on emotions 106 5.1.2 Information accuracy impact on trust 110 5-2 Contributions 113 5.2.1 Academic contributions 113 5.2.2 Practical contributions 116 5-3 Limitations and Future Research 119 Reference 121 Appendix 1 fMRI Safety Checklist 131 Appendix 2 fMRI Subject consent 132 Appendix 3 Demographics survey 136 Appendix 4 Interview consent 137

    Abroms, L. C., & Maibach, E. W. (2008). The effectiveness of mass communication to change public behavior. Annual Reviews Public Health, 29, 219-234.
    Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
    Alzheimer’s Disease International (2015). World Alzheimer Report 2015. Retrieved from https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf
    Andersen, P. H., & Kumar, R. (2006). Emotions, trust and relationship development in business relationships: A conceptual model for buyer–seller dyads. Industrial Marketing Management, 35(4), 522-535.
    Baker, L., Wagner, T. H., Singer, S., & Bundorf, M. K. (2003). Use of the Internet and e-mail for health care information: results from a national survey. Journal of the American Medical Association, 289(18), 2400-2406.
    Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
    Botha, A., Kourie, D., & Snyman, R. (2008). Coping with continuous change in the business environment: knowledge management and knowledge management technology. London, LDN: Chandice Publishing Ltd.
    Briggs, P., Simpson, B., & De Angeli, A. (2004). Personalisation and trust: a reciprocal relationship?. In Designing Personalized user experiences in eCommerce (pp. 39-55). Netherlands, NL: Springer.
    Brodie, M., Flournoy, R. E., Altman, D. E., Blendon, R. J., Benson, J. M., & Rosenbaum, M. D. (2000). Health information, the Internet, and the digital divide. Health Affairs, 19(6), 255-265.
    Brown, J. S., & Duguid, P. (1991). Organizational learning and communities-of-practice: Toward a unified view of working, learning, and innovation. Organization Science, 2(1), 40-57.
    Brown, J. S., & Duguid, P. (1998). Organizing knowledge. California Management Review, 40(3), 90-111.
    Bruning, R. H., Schraw, G. J., & Ronning, R. R. (1999). Cognitive psychology and instruction. New Jersey: Prentice-Hall.
    Burkell, J. (2004). Health information seals of approval: what do they signify?. Information, Communication & Society, 7(4), 491-509.
    Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4(6), 215-222.
    Carnegie Mellon University (2008). Assessing Prior Knowledge. Retrieved from https://www.cmu.edu/teaching/designteach/teach/priorknowledge.html
    Centers for Medicare & Medicaid Services (2015). National Health Expenditures 2014 Highlights. Retrieved from http:// www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/downloads/highlights.pdf
    Chebat, J. C., & Michon, R. (2003). Impact of ambient odors on mall shoppers' emotions, cognition, and spending: A test of competitive causal theories. Journal of Business Research, 56(7), 529-539.
    Childs, S. (2004). Developing health website quality assessment guidelines for the voluntary sector: outcomes from the Judge Project. Health Information & Libraries Journal, 21(s2), 14-26.
    Cline, R. J., & Haynes, K. M. (2001). Consumer health information seeking on the Internet: the state of the art. Health Education Research, 16(6), 671-692.
    Cloutier, J., Ambady, N., Meagher, T., & Gabrieli, J. D. E. (2012). The neural substrates of person perception: Spontaneous use of financial and moral status knowledge. Neuropsychologia, 50(9), 2371-2376.
    Cook, S. D., & Brown, J. S. (1999). Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing. Organization Science, 10(4), 381-400.
    Coricelli, G., Critchley, H. D., Joffily, M., O'Doherty, J. P., Sirigu, A., & Dolan, R. J. (2005). Regret and its avoidance: a neuroimaging study of choice behavior. Nature Neuroscience, 8(9), 1255-1262.
    Cornwall, J., & Davey, J. (2004). Impact of population ageing in New Zealand on the demand for health and disability support services, and workforce implications. Retrieved from http://www.health.govt.nz/publication/impact-population-ageing-new-zealand-demand-health-and-disability-support-services-and-workforce
    Côté, S., Hideg, I., & van Kleef, G. A. (2013). The consequences of faking anger in negotiations. Journal of Experimental Social Psychology, 49(3), 453-463.
    Cotten, S. R. (2001). Implications of Internet technology for medical sociology in the new millennium. Sociological Spectrum, 21(3), 319-340.
    Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Massachusetts: Harvard Business Press.
    de Boer, M. J., Versteegen, G. J., & van Wijhe, M. (2007). Patients’ use of the Internet for pain-related medical information. Patient Education and Counseling, 68(1), 86-97.
    Deering, M. J., & Harris, J. (1996). Consumer health information demand and delivery: implications for libraries. Bulletin of the Medical Library Association, 84(2), 209-216.
    Desmond, J. E., & Glover, G. H. (2002). Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. Journal of Neuroscience Methods, 118(2), 115-128.
    Dimoka, A. (2010). What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 34(2), 373-396.
    Dunn, J. R., & Schweitzer, M. E. (2005). Feeling and believing: the influence of emotion on trust. Journal of Personality and Social Psychology, 88(5), 736-748.
    Egger, F. N. (2000). Trust me, I'm an online vendor: towards a model of trust for e-commerce system design. In CHI'00 extended abstracts on Human factors in computing systems (pp. 101-102). New York, NY: ACM Press.
    Ellsworth, P. C., & Smith, C. A. (1988). From appraisal to emotion: Differences among unpleasant feelings. Motivation and Emotion, 12(3), 271-302.
    Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184.
    Eysenbach, G., & Köhler, C. (2003). What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet. In Proceedings of the AMIA Annual Symposium (pp. 225–229). Maryland: American Medical Informatics Association.
    Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., & Stern, A. (2004). Health related virtual communities and electronic support groups: systematic review of the effects of online peer to peer interactions. British Medical Journal, 328(7449), 1166-1171.
    Eysenbach, G., Powell, J., Kuss, O., & Sa, E. R. (2002). Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. Journal of the American Medical Association, 287(20), 2691-2700.
    Fogg, B. J., Kameda, T., Boyd, J., Marshall, J., Sethi, R., Sockol, M., & Trowbridge, T. (2002). Stanford-Makovsky web credibility study 2002: Investigating what makes Web sites credible today. Report by the Stanford Persuasive Technology Lab & Makovsky & Company, available online at https://secure.proofreadnow.com/Credible_Web_site.pdf.
    Fogg, B. J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., ... & Treinen, M. (2001). What makes Web sites credible?: a report on a large quantitative study. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 61-68). New York, NY: ACM Press.
    Forgas, J. P. (2000). Feeling and Thinking: The Role of Affect in Social Cognition. New York, NY: Cambridge University Press.
    Forgas, J. P., & George, J. M. (2001). Affective influences on judgments and behavior in organizations: An information processing perspective. Organizational Behavior and Human Decision Processes, 86(1), 3-34.
    Fox, S. (2011). 80% of Internet Users Look for Health Information Online. Pew Internet & American Life Project.
    Fox, S., & Fallows, D. (2003). Internet health resources: health searches and email have become commonplace, but there is room for improvement in searches and overall Internet access. Pew Internet & American Life Project.
    Freimuth, V. S., & Quinn, S. C. (2004). The contributions of health communication to eliminating health disparities. American Journal of Public Health, 94(12), 2053-2055.
    Frost, A. (2014). A synthesis of knowledge management failure factors. Retrieved from http://www.knowledge-management-tools.net/A%20Synthesis%20of%20Knowledge%20Management%20Failure%20Factors.pdf
    Gamble, P. R., & Blackwell, J. (2001). Knowledge management: A state of the art guide. London: Kogan Page Publishers.
    Gee, J. (2012). Importance of Prior Knowledge to Learning. Retrieved from https://news.illinoisstate.edu/2012/01/importance-of-prior-knowledge-to-learning/
    George, M. S., Ketter, T. A., Parekh, P. I., Horwitz, B., Herscovitch, P., & Post, R. M. (1995). Brain activity during transient sadness and happiness in healthy women. American Journal of Psychiatry, 152(3), 341-351.
    Glisby, M., & Holden, N. (2003). Contextual constraints in knowledge management theory: the cultural embeddedness of Nonaka's knowledge‐creating company. Knowledge and Process Management, 10(1), 29-36.
    Grabner-Kräuter, S., & Kaluscha, E. A. (2003). Empirical research in on-line trust: a review and critical assessment. International Journal of Human-Computer Studies, 58(6), 783-812.
    Haas, B. W., Ishak, A., Anderson, I. W., & Filkowski, M. M. (2015). The tendency to trust is reflected in human brain structure. NeuroImage, 107, 175-181.
    Heekeren, H. R., Marrett, S., Ruff, D. A., Bandettini, P. A., & Ungerleider, L. G. (2006). Involvement of human left dorsolateral prefrontal cortex in perceptual decision making is independent of response modality. Proceedings of the National Academy of Sciences, 103(26), 10023-10028.
    Hoenig, J.M., Heisey, D.M. (2001). The abuse of power: The pervasive fallacy of power calculations for data analysis. The American Statistician, 55(1),19–24.
    Holroyd, C. B., Coles, M. G., & Nieuwenhuis, S. (2002). Medial Prefrontal Cortex and Error Potentials. Science, 296(5573), 1610-1611.
    Horne, D. C. (1999). A Medical Library for the Public: Starting and Running A Consumer Health. North Carolina Libraries, 57(3), 110-113.
    Hrybouski, S., Aghamohammadi-Sereshki, A., Madan, C. R., Shafer, A. T., Baron, C. A., Seres, P., ... & Malykhin, N. V. (2016). Amygdala subnuclei response and connectivity during emotional processing. NeuroImage, 133, 98-110.
    Keightley, M. L., Winocur, G., Graham, S. J., Mayberg, H. S., Hevenor, S. J., & Grady, C. L. (2003). An fMRI study investigating cognitive modulation of brain regions associated with emotional processing of visual stimuli. Neuropsychologia, 41(5), 585-596.
    Keltner, D., Ellsworth, P. C., & Edwards, K. (1993). Beyond simple pessimism: effects of sadness and anger on social perception. Journal of Personality and Social Psychology, 64(5), 740-752.
    Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus-organism-response model. Journal of Research in Interactive Marketing, 7(1), 33-56.
    Kim, J., & Moon, J. Y. (1998). Designing towards emotional usability in customer interfaces—trustworthiness of cyber-banking system interfaces. Interacting with Computers, 10(1), 1-29.
    Kim, P., Eng, T. R., Deering, M. J., & Maxfield, A. (1999). Published criteria for evaluating health related web sites: review. British Medical Journal, 318(7184), 647-649.
    Kim, S. H., & Hamann, S. (2007). Neural correlates of positive and negative emotion regulation. Journal of Cognitive Neuroscience, 19(5), 776-798.
    Kitchens, B., Harle, C. A., & Li, S. (2014). Quality of health-related online search results. Decision Support Systems, 57, 454-462.
    Klein, J. D., & Wilson, K. M. (2002). Delivering quality care: adolescents’ discussion of health risks with their providers. Journal of Adolescent Health, 30(3), 190-195.
    Koscik, T. R., & Tranel, D. (2011). The human amygdala is necessary for developing and expressing normal interpersonal trust. Neuropsychologia, 49(4), 602-611.
    Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146-159.
    Levine, M., Ensom, M.H. (2001). Post hoc power analysis: an idea whose time has passed?. Pharmacotherapy, 21(4), 405–409.
    Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., ... & Choolani, M. (2011). A study on Singaporean women's acceptance of using mobile phones to seek health information. International Journal of Medical Informatics, 80(12), e189-e202.
    Mak, A. K., Hu, Z. G., Zhang, J. X., Xiao, Z. W., & Lee, T. M. (2009). Neural correlates of regulation of positive and negative emotions: an fMRI study. Neuroscience Letters, 457(2), 101-106.
    McInerney, C. (2002). Knowledge management and the dynamic nature of knowledge. Journal of the American Society for Information Science and Technology, 53(12), 1009-1018.
    Mead, N., Varnam, R., Rogers, A., & Roland, M. (2003). What predicts patients' interest in the Internet as a health resource in primary care in England?. Journal of Health Services Research & Policy, 8(1), 33-39.
    Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge, MA: The MIT Press.
    Morahan-Martin, J. M. (2004). How internet users find, evaluate, and use online health information: a cross-cultural review. CyberPsychology & Behavior, 7(5), 497-510.
    Mumford, J. A. (2012). A power calculation guide for fMRI studies. Social Cognitive & Affective Neuroscience, 7(6), 738-742.
    Mummalaneni, V. (2005). An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526-532.
    Murray, K. (2001). Analyzing web sites or the hidden risks of medical web sites. Paper presented at the 25th International Congress of the Medical Womens’ International Association. Available online at http://www.regional.org.au/au/mwia/papers/full/08_murray.htm
    National Development Council (2016). Population Projections for R.O.C. (Taiwan): 2016~2060. Retrieved from http://ws.ndc.gov.tw/Download.ashx?u=LzAwMS9hZG1pbmlzdHJhdG9yLzExL3JlbGZpbGUvNTU4OS8xMjkzLzEwNzc0NWVmLTJkMDUtNDRjMi05ZTQ5LWNhOGRlMzkwNGE5OS5wZGY%3d&n=MDkyMV8xMDXniYjkurrlj6PmjqjkvLDloLHlkYot6Iux5paH54mILnBkZg%3d%3d&icon=..pdf
    Nazir, A. H., & Liljenström, H. (2015). A cortical network model of cognitive and emotional influences in human decision making. Biosystems, 136, 128-141.
    Nicholas, D., Huntington, P., Gunter, B., Russell, C., Withey, R. (2003). "The British and their use of the Web for health information and advice: a survey." Aslib Proceedings, 55(5/6): 261-276.
    Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14-37.
    Nonaka, I., & Konno, N. (1998). The concept of “ba”: Building a foundation for knowledge creation. California Management Review, 40(3), 40-54.
    Nonaka, I., & Takeuchi, H. (1995). The knowledge creation company: how Japanese companies create the dynamics of innovation. Oxford: Oxford University Press.
    Nonaka, I., & Von Krogh, G. (2009). Perspective-tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635-652.
    Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Planning, 33(1), 5-34.
    Nonaka, I., Umemoto, K., & Senoo, D. (1996). From information processing to knowledge creation: a paradigm shift in business management. Technology in Society, 18(2), 203-218.
    Nonaka, I., Von Krogh, G., & Voelpel, S. (2006). Organizational knowledge creation theory: Evolutionary paths and future advances. Organization Studies, 27(8), 1179-1208.
    Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences, 87(24), 9868-9872.
    Öhman, A., & Mineka, S. (2001). Fears, phobias, and preparedness: toward an evolved module of fear and fear learning. Psychological Review, 108(3), 483-522.
    Pallen, M. (1995). Guide to the Internet. The world wide web. British Medical Journal, 311(7019), 1552-1556.
    Park, J., Chung, H., & Yoo, W. S. (2009). Is the Internet a primary source for consumer information search?: Group comparison for channel choices. Journal of Retailing and Consumer Services, 16(2), 92-99.
    Patel, S. (2015). Knowledge Management Applying, Creating, Structuring & Sharing. Retrieved from http://www.slideshare.net/SagarPATEL126/knowledge-managemen-2
    Pennbridge, J., Moya, R., & Rodrigues, L. (1999). Questionnaire survey of California consumers' use and rating of sources of health care information including the Internet. Western Journal of Medicine, 171(5-6), 302.
    Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002). Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage, 16(2), 331-348.
    Phelps, E. A., O'Connor, K. J., Cunningham, W. A., Funayama, E. S., Gatenby, J. C., Gore, J. C., & Banaji, M. R. (2000). Performance on indirect measures of race evaluation predicts amygdala activation. Journal of Cognitive Neuroscience, 12(5), 729-738.
    Polanyi, M. (1966).The Tacit Dimension. London: Routledge & Kegan Paul.
    Poldrack, R. A., Fletcher, P. C., Henson, R. N., Worsley, K. J., Brett, M., & Nichols, T. E. (2008). Guidelines for reporting an fMRI study. Neuroimage, 40(2), 409-414.
    Preuschoff, K., Quartz, S. R., & Bossaerts, P. (2008). Human insula activation reflects risk prediction errors as well as risk. The Journal of Neuroscience, 28(11), 2745-2752.
    PricewaterhouseCoopers (2015). Taiwan health industries outlook. Retrieved from http://www.pwc.tw/en/publications/assets/taiwan-health-industries-outlook.pdf
    Reimann, M., Schilke, O., Weber, B., Neuhaus, C., & Zaichkowsky, J. (2011). Functional magnetic resonance imaging in consumer research: A review and application. Psychology & Marketing, 28(6), 608-637.
    Richard, M. O., Chebat, J. C., Yang, Z., & Putrevu, S. (2010). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9), 926-934.
    Riegelsberger, J., Sasse, M. A., & McCarthy, J. D. (2003). Shiny happy people building trust?: photos on e-commerce websites and consumer trust. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 121-128). New York: ACM Press.
    Salovey, P., Rothman, A.J., & Rodin, J. (2000). Health Behavior. In Gilbert, D.T., Fiske, S.T., & Lindzey, G. (Eds.), The handbook of social psychology (pp. 633-683). Cambridge: Cambridge University Press.
    Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003). The neural basis of economic decision-making in the ultimatum game. Science, 300(5626), 1755-1758.
    Schaefer, A., & Gray, J. R. (2007). A role for the human amygdala in higher cognition. Reviews in the Neurosciences, 18(5), 355-382.
    Shon, J., Marshall, J., Musen, M.A., (2000). The impact of displayed awards on the credibility and retention of web site information. In Proceedings of the AMIA Symposium (pp. 794–798). Maryland: American Medical Informatics Association
    Shuyler, K. S., & Knight, K. M. (2003). What are patients seeking when they turn to the Internet? Qualitative content analysis of questions asked by visitors to an orthopaedics Web site. Journal of Medical Internet Research, 5(4), e24.
    Sillence, E., Briggs, P., Harris, P., & Fishwick, L. (2007). Health websites that people can trust–the case of hypertension. Interacting with Computers, 19(1), 32-42.
    Smith, C. A., & Ellsworth, P. C. (1985). Patterns of cognitive appraisal in emotion. Journal of Personality and Social Psychology, 48(4), 813-838.
    Sonnenberg, F. A. (1997). Health information on the Internet: Opportunities and pitfalls. Archives of Internal Medicine, 157(2), 151-152.
    Taiwan Alzheimer Disease Association (2016). 2016~2061Taiwan Dementia Population Projection Report . Retrieved from http://www.tada2002.org.tw/tada_know_02.html
    Tranel, D., Bechara, A., & Denburg, N. L. (2002). Asymmetric functional roles of right and left ventromedial prefrontal cortices in social conduct, decision-making, and emotional processing. Cortex, 38(4), 589-612.
    Tsoukas, H., & Vladimirou, E. (2001). What is organizational knowledge?. Journal of Management Studies, 38(7), 973-993.
    Tsukiura, T., & Cabeza, R. (2011). Shared brain activity for aesthetic and moral judgments: implications for the Beauty-is-Good stereotype. Social Cognitive and Affective Neuroscience,6(1), 138-148.
    Von Krogh, G., Ichijo, K., & Nonaka, I. (2000). Enabling knowledge creation: How to unlock the mystery of tacit knowledge and release the power of innovation. Oxford: Oxford University Press
    Walther, J. B., Wang, Z., & Loh, T. (2004). The effect of top-level domains and advertisements on health web site credibility. Journal of Medical Internet Research, 6(3), e24.
    Wellman, J. (2009). Organizational learning: How companies and institutions manage and apply knowledge. New York, NY: Springer.
    Winston, J. S., O'Doherty, J., & Dolan, R. J. (2003). Common and distinct neural responses during direct and incidental processing of multiple facial emotions. Neuroimage, 20(1), 84-97.
    Winston, J. S., Strange, B. A., O'Doherty, J., & Dolan, R. J. (2002). Automatic and intentional brain responses during evaluation of trustworthiness of faces. Nature Neuroscience, 5(3), 277-283.
    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, 417-427.
    Ybarra, M., & Suman, M. (2008). Reasons, assessments and actions taken: sex and age differences in uses of Internet health information. Health Education Research, 23(3), 512-521.
    Zajonc, R.B. (2000). Feeling and thinking: closing the debate over the independence of affect. In Forgas J.P (Ed.), Feeling and thinking: the role of affect in social cognition (pp. 31-58). Cambridge: Cambridge University Press.

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