跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.180) 您好!臺灣時間:2026/10/16 08:18
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:高麒紜
研究生(外文):Kao, Ci-Yun
論文名稱:科技接受模式之擴散與主要趨勢研究:使用共引文分析方法
論文名稱(外文):Technology Acceptance Model: Dissemination and Main Trends, Using Co-citation Analysis
指導教授:楊千楊千引用關係
指導教授(外文):Yang, Chyan
學位類別:碩士
校院名稱:國立交通大學
系所名稱:經營管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:41
中文關鍵詞:科技接受模式、共引文分析、電子商務
外文關鍵詞:technology acceptance model、co-citation analysis、e-commerce
相關次數:
  • 被引用被引用:15
  • 點閱點閱:719
  • 評分評分:
  • 下載下載:229
  • 收藏至我的研究室書目清單書目收藏:2
本論文以書目計量法(bibliometrics)中之文章共引文分析法(document co-citation analysis)為量化基礎,針對科技接受模式(technology acceptance model, TAM)於已收錄在社會科學引文索引SSCI中之所有相關研究期刊文獻為資料主體,以統計套裝軟體SPSS為工具進行統計方法量化分析,企圖找出學界在科技接受模式研究裡之主要研究類別以及研究趨勢,並試圖提供未來可行研究建議。

本研究發現,目前學界中科技接受模式的相關文獻出現兩大主要研究趨勢,一為探討在不同資訊科技(如e-mail、電子商務等)的應用下,科技接受模式的應用效果;另一為將科技接受模式與其他使用者心理行為研究理論結合,試圖整合出更加完整健全的新模型以全面描述使用者接受資訊科技時的意圖、態度、行為等心理過程。研究最後建議未來對於科技接受模式有興趣之研究者,可以新興科技為使用媒介的電子商務(如行動商務、互動電視商務)等進行使用者接受之心理過程及影響因素探討。
In this study, we investigate the dissemination on technology acceptance model (TAM) with document co-citation analysis of the inductive bibliometrical methods. After factor analysis, cluster analysis and multidimensional scaling, the current studies represent these dissemination: (1) appliance of technology acceptance model in different IT context; (2) extended technology acceptance model and combination of diversified theories. And four major groups of IT context are applied in: (1) job-related IT; (2) information-acquiring IT for knowledge management; (3) leisure IT; and (4) e-commerce. With the historical diffusion of TAM, we suggest studies on e-commerce with emerging media and new technology adoption are still popular in the future.
I. Introduction:1
II. Literature Review:3
III. Methodology:5
3.1 Co-citation Method:5
3.2 Data Collection and Analysis:6
3.2.1 Research Procedure:6
3.2.2 Data Selecting:7
3.2.3 Co-citation Analysis:13
IV. Results:16
4.1 Factor Analysis:16
4.2 Cluster Analysis:21
4.3 Multidimensional Scaling (MDS):25
4.4 Discussion:29
4.4.1 General Discussion:29
4.4.2 Prediction for Future Research Trend:31
V. Conclusions and Limitations:33
Reference :34
1. Acedo, F. J., C. Barroso, J. L. Galan, 2006. “The resource-based theory: dissemination and main trends”, Strategic Management Journal, 27, 621-636
2. Agarwal, R; Prasad, J, 1999. “Are individual differences germane to the acceptance of new information technologies?”, Decision Sciences, 30(2), 361-391
3. Agarwal, R; Venkatesh, V, 2002. “Assessing a firm's Web presence: a heuristic evaluation procedure for the measurement of usability”, Information Systems Research, 13(2), 168-186
4. Ahn, T; Ryu, S; Han, I, 2007. “The impact of Web quality and playfulness on user acceptance of online retailing”, Information & Management, 44(3), 263-275
5. Alavi, Maryam & Leidner, Dorothy E, 2001. “Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues”, MIS Quarterly, 25(1), 107-136
6. Al-Gahtani, SS; King, M, 1999. “Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology”, Behaviour & Information Technology, 18(4), 277-297
7. Amoako-Gyampah, K; Salam, AF, 2004. “An extension of the technology acceptance model in an ERP implementation environment”, Information & Management, 41, 731-745
8. Bagozzi, RP; Davis, FD; Warshaw, PR, 1992. “Development and test of a theory of technological learning and usage”, Human Relations, 45(7), 659-686
9. Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice Hall, Englewood Cliff, NJ, 1986
10. Bhattacherjee, A, 2001. “Understanding information systems continuance: an expectation-confirmation model”, MIS Quarterly, 23(3), 351-370
11. Bhattacherjee, A, 2001. “An empirical analysis of the antecedents of electronic commerce service continuance”, Decision Sciences, 32, 201-214
12. Briggs, RO; De Vreede, GJ; Nunamaker, JF, 2003. “Collaboration engineering with ThinkLets to pursue sustained success with group support systems”, Journal of Management Information Systems, 19(4), 31-64
13. Bruner, GC; Kumar, A, 2005. “Explaining consumer acceptance of handheld Internet devices”, Journal of Business Research, 58, 553-558
14. Burton-Jones, A; Hubona, GS, 2006. “The mediation of external variables in the technology acceptance model”, Information & Management, 43(6), 706-717
15. Carter, L; Belanger, F, 2005. “The utilization of e-government services: citizen trust, innovation and acceptance factors”, Information Systems Journal, 15, 5-25
16. Castaneda, JA; Munoz-Leiva, F; Luque, T, 2007. “Web Acceptance Model (WAM): Moderating effects of user experience”, Information & Management, 44(4), 384-396
17. Chang, Man Kit, 1998. “Predicting unethical behavior: A comparison of the theory of reasoned action and the theory of planned behavior”, Journal of Business Ethics, 17, 1825-1834
18. Chau, PYK; Hu, PJH, 2001. “Information technology acceptance by individual professionals: a model comparison approach”, Decision Sciences, 32(4), 699-719
19. Chau, PYK; Hu, PJH, 2002. “Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories”, Information & Management, 39, 297-311
20. Chen, LD; Gillenson, ML; Sherrell, DL, 2002. “Enticing online consumers: an extended technology acceptance perspective”, Information & Management, 39, 705-719
21. Chin, WW; Todd, PA, 1995. “On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution”, MIS Quarterly, 19(2), 237-246
22. Chiu, CM; Wang, ETG, 2008. “Understanding Web-based learning continuance intention: The role of subjective task value”, Information & Management, 45(3), 194-201
23. Culnan, Mary J., 1986, “The Intellectual Development of Management Information Systems, 1972-1982: A Co-Citation Analysis”, Management Science, 32(2), 156-172
24. Curley, J; Cohen, P, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Erlbaum, Hillsdale, NJ, 1975
25. Cyr, D; Head, M; Ivanov, A, 2006. “Design aesthetics leading to m-loyalty in mobile commerce”, Information & Management, 43(8), 950-963
26. Davis, F.D., 1986. “A technology acceptance model for emperically testing new end-user information systems: Theory and results”, doctoral dissertation, MIT Sloan School of Management, Cambridge, MA
27. Davis, FD, 1989. “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, 12(3), 319-340
28. Davis, FD; Venkatesh, V, 1996. “A critical assessment of potential measurement biases in the technology acceptance model: three experiments”, International Journal of Human-Computer Studies, 45, 19-45
29. Devaraj, S; Fan, M; Kohli, R, 2002. “Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics”, Information Systems Research, 13(3), 316-333
30. Dishaw, MT; Strong, DM, 1999. “Extending the technology acceptance model with task-technology fit constructs”, Information & Management, 36, 9-21
31. Diney, T; Hart, P, 2006. “An extended privacy calculus model for E-commerce transactions”, Information Systems Research, 17(1), 61-80
32. Doll, WJ; Hendrickson, A; Deng, XD, 1998. “Using Davis's perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multigroup invariance analysis”, Decision Sciences, 29(4), 839-868
33. Edelmann, F, 1981, "Managers, Computer Systems, and Productive", MIS Quarterly, 5:3, 1-19
34. Featherman, MS; Pavlou, PA, 2003. “Predicting e-services adoption: a perceived risk facets perspective”, International Journal of Human-Computer Studies, 59, 451-474
35. Gefen, D; Karahanna, E; Straub, DW, 2003. “Trust and TAM in online shopping: an integrated model”, MIS Quarterly, 27(1), 51-90
36. Gefen, D; Straub, DW, 1997. “Gender differences in the perception and use of E-mail: an extension to the technology acceptance model”, MIS Quarterly, 21(4), 389-400
37. Gefen, D; Karahanna, E; Straub, DW, 2003. “Inexperience and experience with online stores: the importance of TAM and trust“, IEEE Transactions on Engineering Management, 50(3), 307-321
38. Gefen, D; Keil, M, 1998, “The impact of developer responsiveness on perceptions of usefulness and ease of use: an extension of the technology acceptance model”, Data Base For Advances in Information Systems, 29(2), 35-49
39. Grandon, EE; Pearson, JM, 2004. “Electronic commerce adoption: an empirical study of small and medium US businesses”, Information & Management, 42, 197-216
40. Ha, I; Yoon, Y; Choi, M, 2007. “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, 44(3), 276-286
41. Hackbarth, G; Grover, V; Yi, MY, 2003. “Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use”, Information & Management, 40, 221-232
42. Hasan, B, 2006. “Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance”, Information & Management, 43(5), 565-571
43. Hong, WY; Thong, JYL; Wong, WM; Tam, KY, 2001. “Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics”, Journal of Management Information Systems, 18(3), 97-124
44. Hsu, CL; Lu, HP, 2004. “Why do people play on-line games? An extended TAM with social influences and flow experience”, Information & Management, 41, 853-868
45. Hu, PJ; Chau, PYK; Sheng, ORL; Tam, KY, 1999. “Examining the technology acceptance model using physician acceptance of telemedicine technology”, Journal of Management, Information Systems, 16(2), 91-112
46. Lee, MKO; Cheung, CMK; Chen, ZH, 2005. “Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation”, Information & Management, 42, 1059-1104
47. Lin, JCC; Lu, HP, 2000. “Towards an understanding of the behavioural intention to use a web site”, International Journal of Information Management, 20, 197-208
48. Lucas, HC; Spitler, VK, 1999. “Technology use and performance: a field study of broker workstations”, Decision Sciences, 30(2), 391-311
49. Jarneving, B, 2005. “A comparison of two bibliometric methods for mapping of the research front”, Scientometrics, 65(2), 245-263
50. Igbaria, M; Zinatelli, N; Cragg, P; Cavaye, ALM, 1997. “Personal computing acceptance factors in small firms: a structural equation model”, MIS Quarterly, 21(3), 279-302
51. Igbaria, M; Iivari, J, 1995. “Effects of self-efficacy on computer usage”, Omega-International Journal of Management Science, 23(6), 587-605
52. Jackson, CM; Chow, S; Leitch, RA, 1997. “Toward an understanding of the behavioral intention to use an information system”, Decision Sciences, 28(2), 357-389
53. Kamis, A; Koufaris, M; Stern, T, 2008. “Using an attribute-based decision support system for user-customized products online: An experimental investigation”, MIS Quarterly, 32(1), 159-177
54. Kamis, AA; Stohr, EA, 2006. “Parametric search engines: What makes them effective when shopping online for differentiated products?”, Information & Management, 43(7), 904-918
55. Karahanna, E; Agarwal, R; Angst, CM, 2006. “Reconceptualizing compatibility beliefs in technology acceptance research”, MIS Quarterly, 30(4), 781-804
56. Karahanna, E; Straub, DW, 1999. “The psychological origins of perceived usefulness and ease-of-use”, Information & Management, 35, 237-250
57. Kim, SH, 2008. “Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals”, Information & Management, 45(6), 387-393
58. King, William R. & He, Jun, 2006. “A meta-analysis of the technology acceptance model”, Information & Management, 43, 740-755
59. King, WR; He, J, 2006. “A meta-analysis of the technology acceptance model”, Information & Management, 43(6), 740-755
60. Koufaris, M, 2002. “Applying the technology acceptance model and flow theory to online consumer behavior”, Information Systems Research, 13(2), 205-223
61. Kwahk, KY; Lee, JN, 2008. “The role of readiness for change in ERP implementation: Theoretical bases and empirical validation”, Information & Management, 45(7), 474-481
62. Lai, VS; Li, HL, 2005. “Technology acceptance model for internet banking: an invariance analysis”, Information & Management, 42, 373-386
63. Lederer, AL; Maupin, DJ; Sena, MP; Zhuang, YL, 2000. “The technology acceptance model and the World Wide Web” Decision Sciences, 29, 269-282
64. Legris, P; Ingham, J; Collerette, P, 2003. “Why do people use information technology? A critical review of the technology acceptance model”, Information & Management, 40, 191-204
65. Luarn, P; Lin, HH, 2005. “Toward an understanding of the behavioral intention to use mobile banking”, Computers in Human Behavior, 21, 873-891
66. Mao, E; Palvia, P, 2008. “Exploring the effects of direct experience on IT use: An organizational field study”, Information & Management, 45(4), 249-256
67. Moon, JW; Kim, YG, 2001. “Extending the TAM for a World-Wide-Web context”, Information & Management, 38, 217-230
68. Morris, MG; Dillon, A, 1997. “How user perceptions influence software use”, IEEE Software, 14(4), 58-64
69. Nerur, Sridhar P.; Rasheed, Abdul A.; Natarajan, Vivek, 2008. “The intellectual structure of the strategic management field: An author co-citation analysis”, Strategic Management Journal, 29(3), 319-336
70. Nysveen, H; Pedersen, PE; Thorbjornsen, H, 2005. “Intentions to use mobile services: antecedents and cross-service comparisons”, Journal of Management Information Systems, 33(3), 330-346
71. Ong, CS; Lai, JY; Wang, YS, 2004. “Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies”, Information & Management, 41, 795-804
72. Pagani, M, 2006.”Determinants of adoption of High Speed Data Services in the business, market: Evidence for a combined technology acceptance model with task technology fit model”, Information & Management, 43(7), 847-860
73. Pavlou, PA, 2003. “Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model”, International Journal of Electronic Commerce, 7(3), 101-134
74. Pavlou, PA; Fygenson, M, 2006. “Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior”, MIS Quarterly, 30(1), 115-143
75. Plouffe, CR; Hulland, JS; Vandenbosch, M, 2001. “Research report: richness versus parsimony in modeling technology adoption decisions - understanding merchant adoption of a smart card-based payment system”, Information Systems Research, 12(2), 210-222
76. Ramos-Rodr´ıguez AR, Ru´ız-Navarro J, 2004. “Changes in the intellectual structure of strategic management research: A bibliometric study of the Strategic Management Journal, 1980-2000”, Strategic Management Journal, 25, 981-1004
77. Riemenschneider, CK; Harrison, DA; Mykytyn, PP, 2003. “Understanding it adoption decisions in small business: integrating current theories”, Information & Management, 40, 269-285
78. Premkumar, G; Ramamurthy, K; Liu, HN, 2008. “Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems”, Information & Management, 45(7), 451-457
79. Saade, R; Bahli, B, 2005. “The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model”, Information & Management, 42, 317-327
80. Saeed, KA; Abdinnour-Helm, S, 2008. “Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems”, Information & Management, 45(6), 376-386
81. Schepers, J; Wetzels, M, 2007. “A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects”, Information & Management, 44(1), 90-103
82. Shang, RA; Chen, YC; Shen, L, 2005. “Extrinsic versus intrinsic motivations for consumers to shop on-line”, Information & Management, 42, 401-413
83. Sharda, R., Barr, S.H., and McDonnell, J.C., 1988, "Decision Support System Effectiveness: A Review and Empirical Test", Management Science, 34(2), 139-159
84. Shin, DH, 2009. “Determinants of customer acceptance of multi-service network: An implication for IP-based technologies”, Information & Management, 46(1), 16-22
85. Shih, HP, 2004, “An empirical study on predicting user acceptance of e-shopping on the Web”, Information & Management, 41, 351-368
86. Straub, D; Limayem, M; Karahannaevaristo, E, 1995. “Measuring system usage: implication for IS theory testing”, Management Science, 41(8), 1328-1342
87. Straub, D; Keil, M; Brenner, W, 1997. “Testing the technology acceptance model across cultures: a three country study”, Information & Management, 33, 1-11
88. Sussman, SW; Siegal, WS, 2003. “Informational influence in organizations: an integrated approach to knowledge adoption”, Information Systems Research, 14(1), 47-65
89. Szajna, B, 1996. “Empirical evaluation of the revised technology acceptance model”, Management Science, 42(1), 85-92
90. Taylor, S ;Todd, PA, 1995. “Understanding information technology usage: a test of competing models”, Information Systems Research, 6(2), 144-176
91. Taylor, S; Todd, P, 1995. “Assessing IT usage: the role of prior experience”, MIS Quarterly, 19(4), 561-570
92. Thompson. R. L.; Higgins, C.; and Howell, J. M., 1991, "Personal Computing: Towards a Conceptual Model of Utilization", MIS Quarterly, 15(1), 125-143
93. Vallerand, Robert J.; Deshaies, Paul; Cuerrier, Jean-Pierre; Pelletier, Luc G.; Mongeau, Claude, 1992., “Ajzen and Fishbein's theory of reasoned action as applied to moral behavior: A confirmatory analysis”, Journal of Personality and Social Psychology, 62(1), 98-109
94. van der Heijden, H, 2004. “User acceptance of hedonic information systems”, MIS Quarterly, 28(4), 695-704
95. van der Heijden, H, 2003. “Factors influencing the usage of websites: the case of a generic portal in The Netherlands”, Information & Management, 40, 541-519
96. Venkatesh, V; Davis, FD, 2000. “A theoretical extension of the technology acceptance model: four longitudinal field studies”, Management Science, 46(2), 186-204
97. Venkatesh, V; Morris, MG; Davis, GB; Davis, FD, 2003. “User acceptance of information technology: toward a unified view”, MIS Quarterly, 27(3), 425-478
98. Venkatesh, V, 2000. “Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model”, Information Systems Research,11(4),342-365
99. Venkatesh, V; Davis, FD, 1996. “A model of the antecedents of perceived ease of use: development and test”, Decision Sciences, 27(3), 451-481
100. Venkatesh, V; Morris, MG, 2000. “Why don't men ever stop to ask for directions?Gender, social influence, and their role in technology acceptance and usage behavior”, MIS Quarterly, 24(1), 115-139
101. Venkatesh, V, 1999. “Creation of favorable user perceptions: exploring the role of intrinsic motivation”, MIS Quarterly, 23(2), 239-260
102. Venkatesh, V; Brown, SA, 2001. “A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges”, MIS Quarterly, 25(1), 71-102
103. Vijayasarathy, LR, 2004. “Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model”, Information & Management, 41, 747-762
104. Walczuch, R; Lemmink, J; Streukens, S, 2007. “The effect of service employees' technology readiness on technology acceptance”, Information & Management, 44(2), 206-215
105. Wixom, BH; Todd, PA, 2005. “A theoretical integration of user satisfaction and technology acceptance”, Information Systems Research, 16(1), 85-102
106. Wu, JH; Wang, SC, 2005. “What drives mobile commerce? An empirical evaluation of the revised technology acceptance model”, Information & Management, 42, 719-729
107. Xiao, B; Benbasat, I, 2007. “E-commerce product recommendation agents: Use, characteristics, and impact”, MIS Quarterly, 31(1), 137-209
108. Yi, MY; Hwang, YJ, 2003. “Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model”, International Journal of Human-Computer Studies, 59, 431-449
109. Yu, J; Ha, I; Choi, M; Rho, J, 2005. “Extending the TAM for a t-commerce”, Information & Management, 42, 965-976
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊