請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68244完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳玲玲(Ling-Ling Wu) | |
| dc.contributor.author | Yi-Ting Wang | en |
| dc.contributor.author | 王怡婷 | zh_TW |
| dc.date.accessioned | 2021-06-17T02:15:36Z | - |
| dc.date.available | 2027-12-31 | |
| dc.date.copyright | 2018-01-04 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-10-16 | |
| dc.identifier.citation | Amichai-Hamburger, Y., Kaynar, O., & Fine, A. (2007). The effects of need for cognition on Internet use. Computers in Human Behavior, 23(1), 880-891.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411-423. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. Barry, B., & Fulmer, I. S. (2004). The medium and the message: The adaptive use of communication media in dyadic influence. Academy of Management Review, 29(2), 272-292. Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of statistical psychology, 3(2), 77-85. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588-606. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370. Blasco-Arcas, L., Hernandez-Ortega, B. I., & Jimenez-Martinez, J. (2014). Collaborating online: the roles of interactivity and personalization. The Service Industries Journal, 34(8), 677-698. Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230. Bradner, E., Kellogg, W. A., & Erickson, T. (1999). The adoption and use of ‘Babble’: A field study of chat in the workplace. Paper presented at the Sixth European Conference on Computer-Supported Cooperative Work, Copenhagen, Denmark. Broadbent, D. E. (1971). Decision and stress. London: Academic Press. Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9-54. Browne, M. W., Cudeck, R., & Bollen, K. A. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage. Bucy, E. P., & Tao, C.-C. (2007). The mediated moderation model of interactivity. Media Psychology, 9(3), 647-672. Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message equivocality, media selection, and manager performance: Implications for information systems. MIS quarterly, 11(3), 354-366. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. Ellison, N. B., Vitak, J., Gray, R., & Lampe, C. (2014). Cultivating social resources on social network sites: Facebook relationship maintenance behaviors and their role in social capital processes. Journal of Computer‐Mediated Communication, 19(4), 855-870. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. Galbraith, J. R. (1973). Designing complex organizations. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc. Garton, L., Haythornthwaite, C., & Wellman, B. (1997). Studying online social networks. Journal of Computer‐Mediated Communication, 3(1). Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(7), 1-78. Gibson, J. J. (1987). The ecological approach to visual perception. Mahwah, NJ: Lawrence Erlbaum Associates. Gilbert, E., & Karahalios, K. (2009). Predicting tie strength with social media. Paper presented at the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA. Granovetter, M. (1983). The strength of weak ties: A network theory revisited. Sociological Theory, 1(1), 201-233. Granovetter, M. S. (1973). The strength of weak ties. American journal of sociology, 78(6), 1360-1380. Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall. Han, S., Min, J., & Lee, H. (2015). Antecedents of social presence and gratification of social connection needs in SNS: A study of Twitter users and their mobile and non-mobile usage. International Journal of Information Management, 35(4), 459-471. Haythornthwaite, C. (2005). Social networks and Internet connectivity effects. Information, Community & Society, 8(2), 125-147. Hoang, D. T., Igel, B., & Laosirihongthong, T. (2006). The impact of total quality management on innovation: Findings from a developing country. International journal of quality & reliability management, 23(9), 1092-1117. Hogan, B. J. (2009). Networking in everyday life. University of Toronto, Canada. Huang, E. (2012). Online experiences and virtual goods purchase intention. Internet Research, 22(3), 252-274. Jones, J. J., Settle, J. E., Bond, R. M., Fariss, C. J., Marlow, C., & Fowler, J. H. (2013). Inferring tie strength from online directed behavior. PloS one, 8(1), e52168. Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American sociological review, 38(2), 164-181. Kim, J., Spielmann, N., & McMillan, S. J. (2012). Experience effects on interactivity: Functions, processes, and perceptions. Journal of Business Research, 65(11), 1543-1550. Kim, S. C., Yoon, D., & Han, E. K. (2014). Antecedents of mobile app usage among smartphone users. Journal of Marketing Communications(ahead-of-print), 1-18. Kiousis, S. (2002). Interactivity: a concept explication. New Media & Society, 4(3), 355-383. Krackhardt, D. (1992). The strength of strong ties: The importance of philos in organizations. In N. Nohria & R. G. Eccles (Eds.), Networks and organizations: Structure, form, and action (pp. 216-239). Boston: Harvard Business School Press. Kreijns, K., Kirschner, P. A., & Jochems, W. (2002). The sociability of computer-supported collaborative learning environments. Educational Technology & Society, 5(1), 8-22. Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254-263. Ledbetter, A. (2015). Media multiplexity theory: technology use and interpersonal tie strength. Engaging theories in interpersonal communication. Multiple perspectives. Second edition. London: SAGE. Lee, Y., Kozar, K. A., & Larsen, K. R. (2009). Avatar e-mail versus traditional e-mail: Perceptual difference and media selection difference. Decision Support Systems, 46(2), 451-467. Levin, D. Z., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477-1490. Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161. Lin, N., & Dumin, M. (1986). Access to occupations through social ties. Social Networks, 8(4), 365-385. Liu, Y., & Shrum, L. (2002). What is interactivity and is it always such a good thing? Implications of definition, person, and situation for the influence of interactivity on advertising effectiveness. Journal of advertising, 31(4), 53-64. Liu, Y., & Shrum, L. (2009). A dual-process model of interactivity effects. Journal of advertising, 38(2), 53-68. Lu, H.-P., Lin, J. C.-C., Hsiao, K.-L., & Cheng, L.-T. (2010). Information sharing behaviour on blogs in Taiwan: Effects of interactivities and gender differences. Journal of Information Science, 36(3), 401-416. Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883. March, J. G. (1978). Bounded rationality, ambiguity, and the engineering of choice. The Bell Journal of Economics, 9(2), 587-608. Marsden, P. V., & Campbell, K. E. (1984). Measuring tie strength. Social Forces, 63(2), 482-501. McMillan, S. J. (2000). Interactivity is in the eye of the beholder: Function, perception, involvement, and attitude toward the web site. Paper presented at the American Academy of Advertising, Pullman, WA. McMillan, S. J., & Hwang, J.-S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of advertising, 31(3), 29-42. Men, L. R., & Tsai, W.-H. S. (2012). How companies cultivate relationships with publics on social network sites: Evidence from China and the United States. Public Relations Review, 38(5), 723-730. Mesch, G., & Talmud, I. (2006). The quality of online and offline relationships: The role of multiplexity and duration of social relationships. The Information Society, 22(3), 137-148. MIC. (2014a). 網路社群使用現況分析(上). Retrieved December 16, 2015, from http://mic.iii.org.tw/intelligence MIC. (2014b). 網路社群使用現況分析(下). Retrieved December 16, 2015, from http://mic.iii.org.tw/intelligence MIC. (2014c). 網路社群於電腦與行動使用時間分析(上). Retrieved December 16, 2015, from http://mic.iii.org.tw/intelligence Min, J., & Kim, B. (2015). How are people enticed to disclose personal information despite privacy concerns in social network sites? The calculus between benefit and cost. Journal of the Association for Information Science and Technology, 66(4), 839-857. Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63(9), 919-925. Mossholder, K. W., Bennett, N., Kemery, E. R., & Wesolowski, M. A. (1998). Relationships between bases of power and work reactions: The mediational role of procedural justice. Journal of Management, 24(4), 533-552. Norman, D. A. (1999). Affordance, conventions, and design. Interactions, 6(3), 38-43. Novak, T. P., Hoffman, D. L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences. Journal of consumer psychology, 13(1), 3-16. Orchard, L. J., Fullwood, C., Galbraith, N., & Morris, N. (2014). Individual differences as predictors of social networking. Journal of Computer‐Mediated Communication, 19(3), 388-402. Otley, D. T. (1980). The contingency theory of management accounting: Achievement and prognosis. Accounting, Organizations and Society, 5(4), 413-428. Pai, F.-Y., & Yeh, T.-M. (2014). The effects of information sharing and interactivity on the intention to use social networking websites. Quality & Quantity, 48(4), 2191-2207. Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychology & Behavior, 12(6), 729-733. Peng, T., Kao, Y., & Lin, C.-C. (2006). Common method variance in management research: Its nature, effects, detection, and remedies. Journal of Management, 23(1), 77-98. Podolny, J. M., & Baron, J. N. (1997). Resources and relationships: Social networks and mobility in the workplace. American sociological review, 62(5), 673-693. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879-903. Potosky, D. (2008). A conceptual framework for the role of the administration medium in the personnel assessment process. Academy of Management Review, 33(3), 629-648. Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. CyberPsychology & Behavior, 11(2), 169-174. Rafaeli, S., & Ariel, Y. (2007). Assessing interactivity in computer-mediated. In A. N. Joinson, K. Y. AMcKenna, T. Postmes, & U.-D. Reips (Eds.), The oxford handbook of Internet psychology (pp. 71-88). Oxford, UK: Oxford University Press. Reeves, B., & Nass, C. (1996). How people treat computers, television, and new media like real people and places: CSLI Publications and Cambridge university press. Reinking, J. (2012). Contingency theory in information systems research. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (Eds.), Information systems theory: Explaining and predicting our digital society (pp. 247-263). New York: Springer. Sheer, V. C. (2011). Teenagers' use of MSN features, discussion topics, and online friendship development: The impact of media richness and communication control. Communication Quarterly, 59(1), 82-103. Sohn, D., Ci, C., & Lee, B.-K. (2007). The moderating effects of expectation on the patterns of the interactivity-attitude relationship. Journal of advertising, 36(3), 109-119. Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of marketing, 72(2), 99-113. Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3), 298-322. Suntornpithug, N., & Khamalah, J. (2010). Machine and person interactivity: The driving forces behind influences on consumers' willingness to purchase online. Journal of Electronic Commerce Research, 11(4), 299-325. Torenvliet, G. (2003). We can't afford it!: the devaluation of a usability term. Interactions, 10(4), 12-17. Treisman, A. M. (1969). Strategies and models of selective attention. Psychological review, 76(3), 282. Wang, H., Meng, Y., & Wang, W. (2013). The role of perceived interactivity in virtual communities: building trust and increasing stickiness. Connection Science, 25(1), 55-73. Wei, H.-L., Lin, K.-Y., Lu, H.-P., & Chuang, I.-H. (2015). Understanding the intentions of users to ‘stick’to social networking sites: a case study in Taiwan. Behaviour & Information Technology, 34(2), 151-162. Wellman, B., & Tindall, D. (1993). Reach out and touch some bodies: How telephone networks connect social networks. Progress in Communication Science, 12, 63-94. Wellman, B., & Wortley, S. (1990). Different strokes from different folks: Community ties and social support. American journal of sociology, 96(3), 558-588. Whiting, A., & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369. Wu, L.-L., Wang, Y.-T., & Hsu, A.-C. (2014). Ewom effects on Facebook. Paper presented at the 18th Pacific Asia Conference on Information Systems, Chengdu, China. Wu, L. L., & Lin, J. Y. (2012). The match between information control and motivation in the online context. Psychology & Marketing, 29(11), 822-835. Xu, Y., Kim, H.-W., & Kankanhalli, A. (2010). Task and social information seeking: whom do we prefer and whom do we approach? Journal of Management Information Systems, 27(3), 211-240. Yeh, N.-C., Chuan-Chuan Lin, J., & Lu, H.-P. (2011). The moderating effect of social roles on user behaviour in virtual worlds. Online Information Review, 35(5), 747-769. Yoo, W.-S., Lee, Y., & Park, J. (2010). The role of interactivity in e-tailing: Creating value and increasing satisfaction. Journal of Retailing and Consumer Services, 17(2), 89-96. Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management, 51(8), 1017-1030. Zhang, P. (2008). Technical opinion Motivational affordances: reasons for ICT design and use. Communications of the ACM, 51(11), 145-147. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68244 | - |
| dc.description.abstract | 先前研究發現社交網站之互動功能幫助使用者人人互動，並假定互動是多維度構念，包含控制度、同步性與社交頻寬。本研究探討這三個互動維度如何影響使用者線上互動過程，以及關係強度(強連結/弱連結)與互動目的(資訊目的/社交目的)之調節效果。我們採用兩個研究來驗證假說。研究一探討關係強度的調節效果。研究一總共徵求512位受訪者參與問卷調查。研究一實證結果顯示三個知覺互動維度顯著提升使用者知覺有用性。知覺控制度與知覺同步性顯著增加使用者持續使用意圖。此外，關係強度調節這三個知覺互動維度對於使用者知覺有用性與持續使用意圖的影響。知覺控制度對於兩個依變項的影響，在強連結情境比弱連結情境來得強；反之，知覺同步性的影響，在弱連結情境比強連結情境來得強。相同於知覺同步性的影響，知覺社交頻寬對於知覺有用性的影響，在弱連結情境比強連結情境來得強。研究二探討互動目的的調節效果。研究二總共徵求488位受訪者參與問卷調查。研究二實證結果指出知覺同步性與知覺社交頻寬顯著提升使用者知覺有用性。知覺同步性增加使用者持續使用意圖。另一方面，互動目的調節知覺控制度與知覺同步性度對於使用者持續使用意圖的影響。知覺控制度對於使用者持續使用意圖的影響，對於社交使用者比資訊使用者來得強；反之，知覺同步性的影響，對於資訊使用者比社交使用者來得強。本研究發現提供線上實踐者有用的社交網站互動設計方針。 | zh_TW |
| dc.description.abstract | Past studies have shown that interactivity on social network sites assists users in their human-to-human interaction and assumed that interactivity is a multi-dimensional construct, which includes control, synchronicity, and social bandwidth. This study examines how three dimensions of interactivity affect users online interaction process and how such effects are moderated by tie strength of interaction partners (strong-tie vs. weak tie) and interaction purposes (information vs. social). This research conducted two studies to test the proposed hypotheses. Study 1 explored the moderating effects of tie strength. In total, Study 1 recruited 512 respondents to participate in this survey. The empirical results of Study 1 reveal that three dimensions of perceived interactivity significantly enhance user perceived usefulness. Furthermore, two dimensions of perceived interactivity in terms of control and synchronicity significantly increase user continuous intentions to use. In addition, the effects of three dimensions of perceived interactivity on user perceived usefulness and continuous intentions to use are moderated by tie strength of interaction partners. The results show that the effects of perceived control on these two dependent variables are stronger in the strong-tie condition than in the weak-tie condition, whereas such effects of perceived synchronicity are stronger in the weak-tie condition than in the strong-tie condition. Similar to the results of effect of perceived synchronicity, the effect of perceived social bandwidth on perceived usefulness is stronger in the weak-tie condition than in the strong-tie condition. In addition, study 2 examined the moderating effects of interaction purposes. Study 2 totally recruited 488 respondents to participate in this survey. The empirical results of Study 2 indicate that two dimensions of perceived interactivity, including synchronicity and social bandwidth, significantly increase user perceived usefulness. Furthermore, perceived synchronicity significantly improves user continuous intentions to use. On the other hand, the effects of two dimensions of perceived interactivity, control and synchronicity, on user continuous intentions to use are moderated by interaction purpose. The results reveal that the effect of perceived control on user continuous intentions to use is stronger for social users than for information users, whereas such effect of perceived synchronicity is stronger for information users than for social users. The findings of this study offer online practitioners useful recommendations regarding design guidelines of interactivity on social network sites. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T02:15:36Z (GMT). No. of bitstreams: 1 ntu-106-D99725005-1.pdf: 1805420 bytes, checksum: 7e78e8af04d8177f95df2a173374eef6 (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | Table of Contents
1. Introduction 1 2. Literature Review, Hypotheses Development, and Research Model 7 2.1. Perceived Interactivity on Social Network Sites 7 2.2. The Contingency View of Perceived Interactivity 11 2.3. Tie Strength as the Moderator for the Effects of Perceived Interactivity 14 2.4. Interaction Purpose as the Moderator for the Effects of Perceived Interactivity 18 3. Research Methodology 22 3.1. Study 1: Moderating Effects of Tie Strength of Interaction Partners 22 3.1.1. Research Design of Study 1 22 3.1.2. Measurements of Study 1 24 3.1.3. Participants of Study 1 26 3.1.4. Procedure of Study 1 28 3.1.5. Data Analysis of Study 1 30 3.2. Study 2: Moderating Effects of Interaction Purpose 30 3.2.1. Research Design of Study 2 30 3.2.2. Measurements of Study 2 31 3.2.3. Participant of Study 2 32 3.2.4. Procedure of Study 2 33 3.2.5. Data Analysis of Study 2 33 4. Empirical Results 34 4.1. Study 1: Moderating Effects of Tie Strength of Interaction Partners 34 4.1.1. Manipulation Check of Study 1 34 4.1.2. Common Method Variance (CMV) Test of Study 1 34 4.1.3. Reliability and Validity of Study 1 35 4.1.4. Goodness of Fit of SEM Analysis of Study 1 38 4.1.5. Effects of Perceived Interactivity of SEM Analysis of Study 1 39 4.1.6. Moderating Effects of Tie Strength of SEM Analysis of Study 1 40 4.2. Study 2: Moderating Effects of Interaction Purpose 43 4.2.1. Manipulation Check of Study 2 43 4.2.2. Common Method Variance (CMV) Test of Study 2 44 4.2.3. Reliability and Validity of Study 2 44 4.2.4. Goodness of Fit of SEM Analysis of Study 2 47 4.2.5. Main Effects of Perceived Interactivity of SEM Analysis of Study 2 48 4.2.6. Moderating Effects of Interaction Purpose of SEM Analysis of Study 2 49 5. Conclusion, Contribution, Discussion, Limitations And Future Research 52 5.1. Conclusion, Theoretical Contribution, and Managerial Implications 52 5.2. Discussion 54 5.3. Limitations and Future Research 55 6. References 57 7. Appendixes 69 7.1. Appendix A: Scenarios of Study 1 69 7.2. Appendix B: Scenarios of Study 2 70 7.3. Appendix C: Manipulation Check (Chinese Version) 72 7.4. Appendix D: Items of Dependent and Independent Variables (Chinese Version) 73 7.5. Appendix E: Usage Behavior of Online Social Network Sites (Chinese Version) 74 7.6. Appendix F: Items of Independent Variables (Chinese Version) 75 7.7. Appendix G: Demographic Information (Chinese Version) 76 | |
| dc.language.iso | en | |
| dc.title | 社交網站互動功能之效應：關係強度與互動目的之調節效果 | zh_TW |
| dc.title | Interactivity Features on Social Network Sites: The Moderating Effects of Tie Strength of Interaction Partners and Interaction | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-1 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 盧希鵬(Hsi-Peng Lu),欒斌(Pin Luarn),汪志堅(Chih-Chien Wang),翁崇雄(Chorng-Shyong Ong) | |
| dc.subject.keyword | 知覺互動,知覺有用性,持續使用意圖,關係強度,互動目的, | zh_TW |
| dc.subject.keyword | Perceived Interactivity,Perceived Usefulness,Continuous Intentions to Use,Tie Strength,Interaction Purpose, | en |
| dc.relation.page | 76 | |
| dc.identifier.doi | 10.6342/NTU201704257 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2017-10-17 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-106-1.pdf 目前未授權公開取用 | 1.76 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。