博碩士論文 110421058 詳細資訊




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姓名 陳鈺沂(Mona Ghafoor)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 醫療全通路服務的使用意圖研究- 整合非空間鄰近度、認知信任與情感信任
(Intention to Use Omnichannel Healthcare– The Integration of Proximity, Affective Trust and Cognitive Trust)
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摘要(中) 在 2019 年爆發 COVID-19,許多醫療服務組織開始使用共享醫療設備、藥品和健康 記錄,以滿足資源短缺需求,醫療全通路服務 (Omnichannel Healthcare) 指各種醫療服 務組織在不同層面中使用不同接觸點與人們互動、交換服務和信息共享的整合,並提供 解決方案,人們可以隨時隨地通過任何通路查詢健康記錄數據。醫療全通路整合服務接 觸點,為用戶提供資訊服務和產品,是否為大眾所接受和喜愛,成為值得關注的議題。 本研究透過鄰近度理論,並整合信任之認知與情感層面,最後加入隱私關注進一步信任 和利為反應關係,以釐清醫療全通路服務影響對使用者之行為反應。 本研究採用問卷 調查法,共計回收有效問卷 400 份,以線性結構方程式進行研究假說之分析。本研究經 由實證分析結果發現,情感信任存在中介效果,代表使用者的行為反應取決於使用者的 情感信任,才能促進醫療全通路服務的使用。另一方面,隱私關注具有顯著的調節效果, 代表隱私關注高低會影響會影響信任與行為反應的關係。本研究的研究結果能夠提供學 術與企業對於未來醫療全通路服務的參考方向與建議。
摘要(英) In 2019, with the outbreak of COVID-19, many medical service organizations began using shared medical equipment, medications, and health records to meet the demand for scarce resources. Omnichannel Healthcare refers to the integration of various touchpoints used by medical service organizations at different levels to interact with people, exchange services and share information, and provide solutions. People can query health record data anytime, anywhere through any channel.
The research model was tested with data collected from 400 potential users, and using structural equation modeling (SEM) to validate the causal relationship between variables. The results of this study were summarized as follows. Affective Trust have mediating effect. It means that the User behavior responses depend on the user′s Affective Trust. Cognitive Trust do not exist mediating effect. Besides, Privacy Concern has the significant moderating effect. We conclude that the level of privacy concern could decrease behavior responses. The results of this study could provide a reference on academic and practical aspects.
關鍵字(中) ★ 醫療全通路服務
★ 鄰近度
★ 信任
★ 隱私關注
★ 口碑
★ 使用意圖
關鍵字(英) ★ Omnichannel Healthcare
★ Proximity
★ Trust
★ Privacy Concerns
★ Word of Mouth
★ Intention to Use
論文目次 摘要 I
ABSTRACT II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VI
第一章 緒論 1
1-1 研究背景與動機 1
1-2 研究目的 4
1-3 研究流程 5
第二章 文獻探討 6
2-1 醫療全通路 6
2-2 鄰近度 8
2-3 信任 10
2-3 隱私關注 12
2-4 行為反應 13
第三章 研究方法 16
3-1 研究架構 16
3-2 研究假設 16
3-3 問項設計及研究變數操作型定義 21
3-4 研究對象與資料來源 25
3-5 統計分析方法 28
3-5-1 樣本資料分析 28
3-5-2 信度檢定 28
3-5-3 效度檢定 29
3-5-4 假設驗證 29
第四章 資料分析與研究討論 33
4-1 樣本基本資料分析 33
4-2 研究構面敘述性統計分析 35
4-3 測量模型之信效度分析 37
4-3-1 信度分析 37
4-3-2 效度分析 38
4-4 結構模型路徑分析 43
4-4-1 研究模型與模型配適度檢定 43
4-4-2 路徑分析結果 44
4-4-3 中介效果分析驗證 46
4-4-4 實證討論 50
第五章 結論與建議 54
5-2 研究意涵 54
5-2-1 學術意涵 54
5-2-2 實務建議 56
5-3 研究限制與建議 57
參考文獻 58
附錄 問卷 71
參考文獻 Abdelhamid, M., Gaia, J., & Sanders, G. L. (2017). Putting the Focus Back on the Patient: How Privacy Concerns Affect Personal Health Information Sharing Intentions. Journal of medical Internet research,19(9), e169.
Aghakhani, N., Karimi, J., & Salehan, M. (2018). A Unified Model for the Adoption of Electronic Word of Mouth on Social Network Sites: Facebook as the Exemplar. International Journal of Electronic Commerce, 22(2), 202–231.
Ahmed, M. H., Bogale, A.D., Tilahun, B., Kalayou, M. H., Klein, J., Mengiste, S. A., & Endehabtu, B. F. (2020). Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model. BMC Medical Informatics and Decision Making, 20, 207.
Ahorsu, D. K., Lin, C.-Y., Yahaghai, R., Alimoradi, Z., Broström, A., Griffiths, M. D., & Pakpour, A. H. (2022). The mediational role of trust in the healthcare system in the association between generalized trust and willingness to get COVID-19 vaccination in Iran. Human Vaccines & Immunotherapeutics, 18(1), 1-8.
Al-Ansi, A., Olya, H. G. T., & Han, H. (2019). Effect of general risk on trust, satisfaction, and recommendation intention for halal food. International Journal of Hospitality Management, 28, 210-219.
Alfina, I., Ero, J., Hidayanto, A. N., & Shihab, M. R. (2014). The impact of cognitive trust and e-wom on purchase intention in C2C e-commerce site. Journal of Computer Science, 10(12), 2518-2524.
Alipour, H., Olya, H. G. T., Maleki, P., & Dalir, S. (2020). Behavioral responses of 3S tourism visitors: Evidence from a Mediterranean Island destination. Tourism Management Perspectives, 33,100624.
Amin, R., Hossain, M. A., Uddin, M. M., Jony, M. T. I., & Kim, M. (2022). Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model. Healthcare, 10, 1327.
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.
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4, 291-295.
Athanassopoulos, A., Gounaris, S., & Stathakopoulos, V. (2001). Behavioural responses to customer satisfaction: an empirical study. European Journal of Marketing, 35(5-6), 687-707.
Balland, P. A. (2012). Proximity and the evolution of collaboration networks: Evidence from research and development projects within the global navigation satellite system (GNSS) industry. Regional Studies, 46(6), 741–756.
Bansal, H. S., & Voyer, P. A. (2000) Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3(2), 166–177.
Beller, J., Schäfers, J., Haier, J., Geyer, S., & Epping, J. (2022). Trust in Healthcare during COVID-19 in Europe: vulnerable groups trust the least. Journal of Public Health, 1-10.
Bentler, P. M. (1983). Comfirmatory factor analysis via noniterative estimation: A fast, inexpensive method. Journal of Marketing Research, 19(4), 417-424.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bultetin, 88(3), 588-606.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246
Bloemer, J., & Odekerken-Schröder, G. (2003). Antecedents and consequences of affective commitment. Australasian Marketing Journal, 11(3),33-43.
Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. Guilford press.
Bollen, K. A. (1989b). A new incremental fit index for general structural equation models. Sociological Methods and Research, 17(3), 303-316.
Boschma, R. A. (2005). Proximity and innovation: a critical assessment. Regional Studies, 39(1), 61-74.
Bowman, D., & Narayandas, D. (2001). Managing Customer-Initiated Contacts with Manufacturers: The Impact on Share of Category Requirements and Word-of-Mouth Behavior. Journal of Marketing Research, 38(3), 281-297.
Bradach, J. L., & Eccles, R. G. (1989). Price, Authority, and Trust: From Ideal Types to Plural Forms. Annual Review of Sociology, 15, 97-118.
Boschma, R., & Broekel, T. (2012). Knowledge networks in the Dutch aviation industry: the proximity paradox. Journal of Economic Geography, 12(2), 409-433.
Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2-20.
Browne, M. W., & Cudeck, R. (1992). Alternative Ways of Assessing Model Fit. Sociological Methods & Research, 21(2), 230–258.
Bruneel, J., Spithoven, A., & Maesen, A. (2007). Building Trust: A Matter of Proximity?. Frontiers of Entrepreneurship Research, 27(15), 1-13.
Cao, Z., Derudder, B., & Peng, Z. (2019). Interaction between different forms of proximity in inter-organizational scientific collaboration: the case of medical sciences research network in the Yangtze River Delta region. Regional Science, 98(5), 1903-1924.
Carrincazeaux, C., Lung, Y., & Vicente, J. (2008). The scientific trajectory of the French school of proximity: interaction- and institution-based approaches to regional innovation systems. European Planning Studies, 16(5), 617-628.
Cham, T. H., Lim, Y. M., Aik, N. C., & Tay, A. G. M. (2016). Antecedents of hospital brand image and the relationships with medical tourists’ behavioral intention. International Journal of Pharmaceutical and Healthcare Marketing, 10(4), 412-431.
Chang, I. C., & Hsu, H. M. (2012). Predicting Medical Staff Intention to Use an Online Reporting System with Modified Unified Theory of Acceptance and Use of Technology. Telemedicine and e-Health, 18(1), 67-73.
Chang, V., Doan, L. M. T., Xu, Q. A., Hall, K., Wang, Y. A., & Kamal, M. M. (2023). Digitalization in omnichannel healthcare supply chain businesses: The role of smart wearable devices. Journal of Business, 156, 13369.
Cheah, J.-H., Lim, X.-J., Ting, H., Liu, Y., & Quach, S. (2022). Are privacy concerns still relevant?. Revisiting consumer behaviour in omnichannel retailing. Journal of Retailing and Consumer Services, 65, 102242.
Chen, S. J., Waseem, D., Xia, Z. R., Tran, K. T., Li, Y., & Yao, J. (2021). To disclose or to falsify: The effects of cognitive trust and affective trust on customer cooperation in contact tracing. International Journal of Hospitality Management, 94, 102867.
Cheng, G., Cherian, J., Sial, M. S., Mentel, G., Wan, P., Álvarez-Otero, S., & Saleem, U. (2021). The Relationship between CSR Communication on Social Media, Purchase Intention, and E-WOM in the Banking Sector of an Emerging Economy. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1025-1041.
Cheung, M. F. Y., & To, W. M. (2021). The Effect of Consumer Perceptions of the Ethics of Retailers on Purchase Behavior and Word-of-Mouth: The Moderating Role of Ethical Beliefs. Journal of Business Ethics, 171, 771–788.
Chu, S., & Chen, H. (2019). Impact of consumers’ corporate social responsibility‐related activities in social media on brand attitude, electronic word‐of‐mouth intention, and purchase intention: A study of Chinese consumer behavior. Journal of Consumer Behaviour, 18(6), 453–462.
Craney, T. A., & Surles, J. G. (2002). Model-Dependent Variance Inflation Factor Cutoff Values. Quality Engineering, 14(3), 391-403.
Anant, V., Donchak, L., Kaplan, J., & Soller, H. (2020, April 27). Consumer data protection and privacy. McKinsey & Company. https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-consumer-data-opportunity-and-the-privacy-imperative. (Retrieved Nov 25, 2022.)
Corbu, T. (2023). Omnichannel healthcare strategy: challenges and opportunities. Digitalya. https://digitalya.co/blog/omnichannel-healthcare-strategy/. (Retrieved Mar 20, 2023.)
Cordasco, K. M., Ponce, N. A., Gatchell, M. S., Traudt, B., & Escarce, J. J. (2011). English Language Proficiency and Geographical Proximity to a Safety Net Clinic as a Predictor of Health Care Access. Journal of Immigrant and Minority Health, 13(2), 260–267.
Dandachi, D., Dang, B. N., Lucari, B., Teti, M., & Giordano, T. P. (2020). Exploring the Attitude of Patients with HIV About Using Telehealth for HIV Care. AIDS Patient Care and STDs, 34(4), 166–172.
Dinev, T., & Hart, P. (2005). Internet Privacy Concerns and Social Awareness as Determinants of Intention to Transact. International Journal of Electronic Commerce, 10(2), 7–29.
Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61–80.
Dowell, D., Morrison, M., & Heffernan, T. (2015). The changing importance of affective trust and cognitive trust across the relationship lifecycle: A study of business-to-business relationships. Industrial Marketing Management, 44, 119-130.
Dunn, P. (2000). The importance of consistency in establishing cognitive-based trust: a laboratory experiment. Teaching Business Ethics, 4, 285-306.
East, R., Uncles, M. D., Romaniuk, J., & Lomax, W. (2016). Measuring the impact of positive and negative word of mouth: A reappraisal. Australasian Marketing Journal, 24(1), 54-58.
Eisingerich, A. B., Chun, H. H., Liu, Y., Jia, H., & Bell, S. J. (2015). Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth. Journal of Consumer Psychology, 25(1), 120-128.
Ennew, C. T., Banerjee, A. K., & Li, D. (2000). Managing word of mouth communication: empirical evidence from India, International Journal of Bank Marketing, 18(2), 75-83.
Fatma, M., Khan, I., & Rahman, Z. (2018). CSR and consumer behavioral responses: The role of customer-company identification. Asia Pacific Journal of Marketing and Logistics, 30, 460-477.
Foreman, D., & Hanna, M. (2000). How long can a waiting list be?: The impact of waiting time on intention to attend child and adolescent psychiatric clinics. Psychiatric Bulletin, 24(6), 211-213.
Gao, M., & Huang, L. (2021). Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness. Journal of Retailing and Consumer Services, 63, 102688.
Gao, W., & Fan, H. (2021). Omni-Channel Customer Experience (In)Consistency and Service Success: A Study Based on Polynomial Regression Analysis. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 1997-2013.
Goold, S. D., & Lipkin, M. Jr. (1999). The doctor-patient relationship: challenges, opportunities, and strategies. Journal of general internal medicine, 14(Suppl 1): S26–S33.
Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e-WOM scale: word-of-mouth measurement scale for e-services context. Canadian Journal of Administrative Science, 27(1), 5-23.
Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American journal of sociology, 91(3), 481-510.
Gremler, D. D., & Brown, S. W. (1998). Service loyalty: antecedents, components, and outcomes. Chicago: American Marketing Association, 9, 165–166.
Guilford, J. P. (1966). Intelligence: 1965 model. American Psychologist, 21(1), 20.
Ha, H. Y., John, J., John, J. D., & Chung, Y. K. (2016). Temporal effects of information from social networks on online behavior: The role of cognitive and affective trust. Internet Research, 26(1), 213-235.
Hall, M. A., Camacho, F., Lawlor, J. S., DePuy, V., Sugarman, J., & Weinfurt, K. (2006). Measuring Trust in Medical Researchers. Medical Care, 44(11), 1048–1053.
Hall, M. A., Dugan, E., Zheng, B., & Mishra, A. K. (2001). Trust in physicians and medical institutions: what is it, can it be measured, and does it matter?. The Milbank Quarterly, 79(4), 613-639.
Hamouda, M. (2019). Omni-channel banking integration quality and perceived value as drivers of consumers’ satisfaction and loyalty. Journal of Enterprise Information Management, 32(4), 608-625.
Haryono, & Kusumawardhana, A. W. (2021). Factors Influencing Users’ Intentions to Use Mobile Applications in Hospitals. International Journal of Business, Humanities, Education and Social Sciences, 3(1).
Huang, X., & Ge, J. (2019). Electric vehicle development in Beijing: An analysis of consumer purchase intention. Journal of Cleaner Production, 216, 361–372.
Huber, F. (2012). On the Role and Interrelationship of Spatial, Social and Cognitive Proximity: Personal Knowledge Relationships of R&D Workers in the Cambridge Information Technology Cluster. Regional Studies, 46(9), 1169-1182.
Hung, S. W., Cheng, M. J., Hou, C. E., & Chen, N. R. (2021). Inclusion in global virtual teams: Exploring non-spatial proximity and knowledge sharing on innovation. Journal of Business Research, 128, 599-610.
Hur, W-M., Park, J., & Kim, M. (2010). The role of commitment on the customer benefits-loyalty relationship in mobile service industry. The Service Industries Journal, 30(14),2293–2309.
Hwang, J. H., & Jung, H. W. (2018). Effects of pharmacopuncture with wild ginseng complex in 2 elderly patients with obesity: Case report. Medicine, 97(28), e11534.
IJzerman, H., & Semin, G. R. (2009). The Thermometer of Social Relations: Mapping Social Proximity on Temperature. Psychological Science, 20(10), 1214–1220.
IJzerman, H., & Semin, G. R. (2010). Temperature perceptions as a ground for social proximity. Journal of Experimental Social Psychology, 46(6), 867–873.
Inman, J.J., & Nikolova, H., (2017). Shopper-facing retail technology: a retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93(1), 7–28.
Islam, T., Islam, R., Pitafi, A. H., Xiaobei, L.; Rehmani, M., Irfan, M., & Mubarak, S. (2021). The Impact of Corporate Social Responsibility on Customer Loyalty: The Mediating Role of Corporate Reputation, Customer Satisfaction, and Trust. Sustainable Production and Consumption, 25, 23-135.
Jalilvand, M. R. & Heidari, A. (2017). Comparing face-to-face and electronic word-of-mouth in destination image formation: the case of Iran. Information Technology and People, 30(4), 710-735.
Johnson, D., & Grayson, K. (2005). Cognitive and affective trust in service relationships. Journal of Business Research, 58(4), 500-507.
Johnson-George, C., & Swap, W. C. (1982). Measurement of specific interpersonal trust: construction and validation of a scale to assess trust in a specific other. Journal of Personality and Social Psychology, 43(6), 1306-1317.
Karjaluoto, H., Munnukka, J. & Kiuru, K. (2016). Brand love and positive word of mouth: the moderating effects of experience and price. Journal of Product & Brand Management, 25(6), 527-537.
Kenny, D. A. (2005). Cross‐lagged panel design. Encyclopedia of statistics in behavioral science.
Keshta, I., & Odeh, A. (2020). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177-183.
Kim, S., Lee, K. H., Hwang, H., & Yoo, S. (2015) Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC Medical Informatics and Decision Making, 16(1), 12.
Kim, T. T., Kim, W. G., & Kim, H. B. (2009). The effects of perceived justice on recovery satisfaction, trust, word-of-mouth, and revisit intention in upscale hotels. Tourism management, 30(1), 51-62.
Knoben, J. & Oerlemans, L. A. G. (2006). Proximity and inter-organizational collaboration: a literature review. International Journal of Management Reviews, 8(2), 71-89.
Kong, R., Luo, L., Chen, L., & Keblis, M. F. (2020). The effects of BOPS implementation under different pricing strategies in omnichannel retailing. Transportation Research Part E: Logistics and Transportation Review, 141, 102014.
Kronqvist, J., & Leinonen, T. (2019). Redefining Touchpoints: An Integrated Approach for Implementing Omnichannel Service Concepts. Service Design and Service Thinking in Healthcare and Hospital Management, 279-288.
Kwon, I. K. W. G. & Kim, S. H. (2022). A Note on Omnichannel in Healthcare Market: An Exploratory Roadmap. American Journal of Biomedical Science & Research,15(5), 531-536.
Lau, G. T. & Lee, S. H. (1999). Consumers’ trust in a brand and the link to brand loyalty. Journal of Market Focused Management, 4, 341-370.
LaVela, S. L., Smith, B., Weaver, F. M., & Miskevics S. A. (2004). Geographical proximity and health care utilization in veterans with SCI&D in the USA. Social Science & Medicine, 59(11), 2387-2399.
Lee, A. R., Hon, L., & Won, J. (2018). Psychological Proximity as a Predictor of Participation in a Social Media Issue Campaign. Computers in Human Behavior, 85, 245-254.
Lee, C. (2021). Patient loyalty to health services: The role of communication skills and cognitive trust. International Journal of Healthcare Management, 14(4), 1254-1264
Lee, J., Lee, J. N., & Tan, B. C. Y. (2015). Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty. Information Systems Frontiers, 17, 159-175.
Lewis, J. D., & Weigert, A. (1985). Trust as a social reality. Social Forces, 63(4), 967-985.
Lewis, J. D., & Weigert, A. J. (2012). The social dynamics of trust: Theoretical and empirical research,1985-2012. Social forces, 91(1), 25-31.
Li, Y., Liu, H., Lee, M., & Huang, Q. (2020). Information privacy concern and deception in online retailing. Internet Research, 30(2), 1066–2243.
Li, Y., Tan, R., & Gong, X. (2023). How omnichannel integration promotes customer word-of-mouth behaviors: the mediating roles of perceived personal preference fit and perceived social relatedness. Information Technology & People, 36(4), 1726-1753.
Liao, S. H., Chung, Y. C., & Chang, W. J. (2019). Interactivity, engagement, trust, purchase intention and word-of-mouth: a moderated mediation study. International Journal of Services Technology and Management, 25(2), 116-137.
Lin, S. W., Huang, E. Y., & Cheng, K. T. (2023). A binding tie: why do customers stick to omnichannel retailers?. Information Technology & People, 36(3), 1126-1159.
Liu, H., Meng-Lewis, Y., Ibrahim, F., & Zhu, X. (2021). Superfoods, super healthy: Myth or reality? Examining consumers’ repurchase and WOM intention regarding superfoods: A theory of consumption values perspective. Journal of Business Research, 137, 69-88.
Liu, Q., Liu, Z., Lin, S., & Zhao, P. (2022). Perceived accessibility and mental health consequences of COVID-19 containment policies. Journal of Transport & Health, 101354.
Luhmann, N. (2018). Trust and power. John Wiley & Sons.
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet Users’ Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research, 15(4), 336-355.
Mani, Z., & Chouk, I. (2019). Impact of privacy concerns on resistance to smart services: does the ‘Big Brother effect’matter?. Journal of Marketing Management, 35(15-16), 1460-1479.
Mankiw, N. G. (2020). Principles of economics. Cengage Learning.
Manwaring, K. C., Larsen, R., Graham, C. R., Henrie, C. R., & Halverson, L. R. (2017). Investigating student engagement in blended learning settings using experience sampling and structural equation modeling. The Internet and Higher Education, 35, 21-33.
Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155.
Martinez-Martin, N., Luo, Z., Kaushal, A., Adeli, E., Haque, A., Kelly, S. S., Wieten, S., Cho, M. K., Magnus, D., Fei-Fei, L., Schulman, K., & Milstein, A. (2021). Ethical issues in using ambient intelligence in health-care settings. The Lancet Digital Health, 3(2), e115–e123.
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Integrative Model of Organizational Trust. Academy of Management Review (20:3), 709-734.
McAllister, D. J. (1995). Affect- and cognitive-based trust as foundations for interpersonal cooperation in organizations. Academy of Management Journal, 38, 24-59.
McKinsey & Company (2021 Feb 19). Omnichannel engagement in medtech: The time is now. McKinsey & Company. https://www.mckinsey.com/industries/life-sciences/our-insights/omnichannel-engagement-in-medtech-the-time-is-now. (Retrieved Nov 25, 2022.)
Mechanic, D. (1998). The Functions and Limitations of Trust in the Provision of Medical Care. Journal of Health politics, policy and Law, 23(4), 661–686.
Mehta, A. (1994). How advertising response modeling (ARM) can increase AD effectiveness. Journal of Advertising Research, 62-74.
Meilatinova, N. (2021). Social commerce: Factors affecting customer repurchase and word-of-mouth intentions. International Journal of Information Management, 57, 102300.
Meng, F., Guo, X., Peng, Z., Ye, Q., & Lai, K.-H. (2022). Trust and elderly users′ continuance intention regarding mobile health services: the contingent role of health and technology anxieties. Information Technology & People, 35(1), 259-280.
Miao, Q., Newman, A., & Huang, X. (2014). The impact of participative leadership on job performance and organizational citizenship behavior: distinguishing between the mediating effects of affective and cognitive trust. The International Journal of Human Resource Management, 25(20), 2796-2810.
Mila, D. & Koen, F. (2018). Proximity, knowledge base and the innovation process: towards an integrated framework. Regional Studies, 52(1), 23-34.
Mohammadi, M. R., Zarafshan, H., Khayam Bashi, S., Mohammadi, F., & Khaleghi, A. (2020). The Role of Public Trust and Media in the Psychological and Behavioral Responses to the COVID-19 Pandemic. Iranian journal of psychiatry, 15(3), 189-204.
Moorman, C., Zaltman G., & Deshpandé, R. (1992). Relationship between providers and users of marketing research: the dynamics of trust within and between organizations. Journal of International Marketing, 29(3), 314-328.
Morwitz, V. G., Steckel, J. H., & Gupta, A. (2007). When do purchase intentions predict sales?. International Journal of Forecasting, 23(3), 347-364.
Mpinganjira, M., & Maduku, D. K. (2019). Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands. Journal of Business Research, 95, 464-478.
Mulaik, S. A., James, L. R., Altine, J. V., Bennett, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430-44
Murray, K. B. (1991). A test of services marketing theory: consumer information acquisition activities. Journal of marketing, 55(1), 10-25.
Nahapiet, J & Ghoshal, S, (1998) Social Capital, Intellectual Capital and the Organizational Advantage. Academy of Management Reviewpoint, 23, 242-266.
Nguyen, M. A. T., Lei, H., Vu, K.D., & Le, P. B. (2019). The role of cognitive proximity on supply chain collaboration for radical and incremental innovation: a study of a transition economy. Journal of Business & Industrial Marketing, 34(3), 591-604.
Nguyen, O. D. Y., Lee, J. (J)., Ngo, L.V., & Quan, T. H. M. (2022). Impacts of crisis emotions on negative word-of-mouth and behavioral intention: evidence from a milk crisis. Journal of Product & Brand Management, 31(4), 536-550.
Nicolaou, A. I., & McKnight, D. H. (2006). Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use. Information Systems Research, 17(4), 332-351.
Nilsson, M. (2019). Proximity and the trust formation process. European Planning Studies, 27(5), 841–861.
Nyaga, G. N., Whipple, J. M., & Lynch, D. F. (2010). Examining supply chain relationships: Do buyer and supplier perspectives on collaborative relationships differ?. Journal of Operations Management, 28(2), 101-114.
Nyheim, P., Xu, S., Zhang, L., & Mattila, A. S. (2015). Predictors of avoidance towards personalization of restaurant smartphone advertising: A study from the Millennials’ perspective. Journal of Hospitality and Tourism Technology, 6(2), 145-159.
Olapiriyakul, K., & Kangsirikul, S. (2012). The role of web-forum in knowledge sharing and its impacts on consumer′s purchase intention in e-marketplaces. International Journal of Innovation and Learning, 12(3), 283-293.
Ostrom, T. M. (1969). The Relationship Between the Affective, Behavioral, and Cognitive Components of Attitude. Journal of experimental social psychology, 5(1), 12-30.
Oudshoorn, N. (2009). Physical and digital proximity: emerging ways of health care in face-to-face and telemonitoring of heart-failure patients. Sociology of health & illness, 31(3), 390-405.
Pagani, M., Racat, M., & Hofacker, C. F. (2019). Adding Voice to the Omnichannel and How that Affects Brand Trust. Journal of Interactive Marketing, 48(1), 89-105.
Pangarkar, A., Arora, V., & Shukla, Y. (2022). Exploring phygital omnichannel luxury retailing for immersive customer experience: The role of rapport and social engagement. Journal of Retailing and Consumer Services, 68, 103001.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). A multiple‐item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12‐40.
Pearson, S. D., & Raeke, L. H. (2000). Patients′ trust in physicians: many theories, few measures, and little data. Journal of general internal medicine, 15, 509-513.
Pei, X., & Dang, X. (2022). The medical health venture capital network community structure, information dissemination and the cognitive proximity. Applied Mathematics and Nonlinear Sciences,7(2) 803-824.
Pi, S., Liao, H., & Chen, H. (2012). Factors that affect consumers’ trust and continuous adoption of online. International Journal of Business and Management, 7(9), 108-119.
Punyatoya, P. (2019). Effects of cognitive and affective trust on online customer behavior. Marketing Intelligence & Planning, 37(1), 80-96.
Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985). Trust in close relationships. Journal of Personality and Social Psychology, 49(1), 95-112.
Rho, M. J., Choi, I. y., & Lee, J. (2014). Predictive factors of telemedicine service acceptance and behavioral intention of physicians. International Journal of Medical Informatics, 83(8), 559-571.
Rodríguez-Torrico, P., San José Cabezudo, R., & San-Martín, S. (2017). Tell me what they are like and I will tell you where they buy. An analysis of omnichannel consumer behavior. Computers in Human Behavior, 68, 465-471.
Saigi-Rubió, F., Jiménez-Zarco, A., & Torrent-Sellens, J. (2016). Determinants of the intention to use telemedicine: evidence from primary care physicians. International Journal of Technology Assessment in Health Care, 32(1-2), 29-36.
Sangal, S., Nigam, A., & Bhutani, C. (2022). Conceptualizing the role of blockchain in omnichannel healthcare: a Delphi study. Aslib Journal of Information Management, 74(5), 782-800.
Sharma, P., & Nayak, J. K. (2018). Testing the role of tourists′ emotional experiences in predicting destination image, satisfaction, and behavioral intentions: A case of wellness tourism. Tourism Management Perspectives, 28, 41-52.
Sharma, S., Durand, R. M., & Gur-Arie, O. (1981). Identification and Analysis of Moderator Variables. Journal of Marketing Research, 18(3), 291-300.
Shaw, A. T., & Gilly, J. P. (2000). On the Analytical Dimension of Proximity Dynamics. Regional studies, 34(2), 169-180.
Shi, S., Wang, Y., Chen, X., & Zhang, Q. (2020). Conceptualization of omnichannel customer experience and its impact on shopping intention: A mixed-method approach. International Journal of Information Management, 50, 325-336.
Shih, H., Lai, K., & Cheng, T. C. E. (2013). Informational and Relational Influences on Electronic Word of Mouth: An Empirical Study of an Online Consumer Discussion Forum. International Journal of Electronic Commerce, 17(4), 137-166.
Siqueira, R. J., García, P. N., Horst, t. E., & Molina, G. (2019). Spreading The Word: Customer Experience in Traditional and Electronic Word-of-Mouth Intentions. Electronic Commerce Research and Applications, 100870
Smith, H. J., Dinev, T., & Xu, H. (2011). Information Privacy Research: An Interdisciplinary Review. MIS Quarterly, 35(4), 989-1015.
Sutherland, B. L., Pecanac, K., LaBorde, T. M., Bartels, C. M. & Brennan, M. B. (2022). Good working relationships: how healthcare system proximity influences trust between healthcare workers. Journal of Interprofessional Care, 36(3), 331-339,
Swarbrooke, J., & Horner, S. (2007). Consumer behaviour in tourism. Routledge.
Taylor, J. F, Ferguson, J., & Ellen, P. S. (2015). From trait to state: Understanding privacy concerns. Journal of Consumer Marketing, 32/2, 99–112.
Thom, D. H., Hall, M. A., & Pawlson, L. G. (2004). Measuring patients′ trust in physicians when assessing quality of care. Health affairs, 23(4), 124-132.
Trafimow, D., & Sheeran, P. (1998). Some Tests of the Distinction between Cognitive and Affective Beliefs. Journal of Experimental Social Psychology, 34(4), 378-397.
Tran, V. D., Vo, T. N. L., & Dinh, T. Q. (2020). The relationship between brand authenticity, brand equity and customer satisfaction. Journal of Asian Finance, Economics and Business, 7(4), 213-221.
Vathanophas, V., & Pacharapha, T. (2010). Information Technology Acceptance in Healthcare Service: The Study of Electronic Medical Record (EMR) in Thailand. Technology Management for Global Economic Growth (PICMET),1-5.
Wald, H. S., Dube, C. E., & Anthony, D. C. (2007). Untangling the Web—The impact of Internet use on health care and the physician–patient relationship. Patient education and counseling, 68(3), 218–224.
Wang, E. S. T., & Chen, L. S. L. (2011). The influence of perceived justice of service recovery on affective and cognitive trust. International Journal of Services and Standards, 7(3/4), 278-290.
Wang, J., Shahzad, F., & Ashraf, S. F. (2023). Elements of information ecosystems stimulating the online consumer behavior: A mediating role of cognitive and affective trust. Telematics and Informatics, 80, 101970.
Wei, Y., & Li, F. (2020). Omnichannel supply chain operations for luxury products with conspicuous consumers. Transportation Research Part E: Logistics and Transportation Review, 137, 101918.
Wheaton, B., Muthén, B., Alwin, D. F., & Summers, G. F. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology, 8, 84-136.
Williams, M., Belkin, L. Y., & Chen, C. C. (2020). Cognitive Flexibility Matters: The Role of Multilevel Positive Affect and Cognitive Flexibility in Shaping Victims’ Cooperative and Uncooperative Behavioral Responses to Trust Violations. Group & Organization Management, 45(2), 181-218.
Wootton, R. (2001). Telemedicine. Bmj, 323(7312), 557-560.
Wottrich, V. M., Verlegh, P. W. J., & Smit, E. G. (2017). The role of customization, brand trust, and privacy concerns in advergaming. International Journal of Advertising, 36(1), 60-81.
Wu, L. W., & Tang, Y. C. (2022). Mobile payment in omnichannel retailing: dynamics between trust and loyalty transfer processes. Internet Research, 32(6), 1783-1805.
Wu, Q., Jin, Z., & Wang, P. (2022). The Relationship Between the Physician-Patient Relationship, Physician Empathy, and Patient Trust. Journal of general internal medicine, 37, 1388-1393.
Wuyts, S., Colomb, M. G., Dutta, S., & Nooteboom, B. (2005). Empirical tests of optimal cognitive distance. Journal of Economic Behavior & Organization, 58(2), 277-302.
Zahorik, A. J., & Rust, R. T. (1992). Modeling the impact of service quality on profitability: a review. Advances in services marketing and management, 1(1), 247-76.
Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (1996). Services Marketing McGraw Hill. New York.
Zhang, J., Luximon, Y., & Li, Q. (2022). Seeking medical advice in mobile applications: How social cue design and privacy concerns influence trust and behavioral intention in impersonal patient–physician interactions. Computers in Human Behavior, 130, 107178.
Zhang, J., Xu, Q., & He, Y. (2018). Omnichannel retail operations with consumer returns and order cancellation. Transportation Research Part E: Logistics and Transportation Review, 118, 308-324.
Zhang, M., Luo, M., Nie, R., & Zhang, Y. (2017). Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology. International journal of medical informatics, 108, 97-109.
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic commerce research and applications, 28, 181-193.
Zhang, X., Liu, S., Chen, X., Wang, L., Gao, B., & Zhu, Q. (2018). Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Information & Management, 55(4), 482-493.
指導教授 洪秀婉(Shiu-Wan Hung) 審核日期 2023-6-20
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