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研究生:王世華
研究生(外文):Shih-Hua Wang
論文名稱:消費者對五金傳統產業線上購物系統接受度之研究
論文名稱(外文):A study of consumers’intention toward online shopping systems of hardware industry
指導教授:柯秀佳柯秀佳引用關係
指導教授(外文):Hsiu-Chia Ko
學位類別:碩士
校院名稱:朝陽科技大學
系所名稱:資訊管理系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:101
中文關鍵詞:電子商務成功模式科技接受模式五金產業
外文關鍵詞:hardware industryE-commerce Systems Success ModelTechnology Acceptance Model (TAM)
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隨著電子商務環境的成熟以及線上購物人口的持續上升,許多實體商店紛紛朝向虛實整合的經營模式前進。然而,國內有許多傳統產業的實體店面,如五金產業,其消費者大多數為專業消費者,與一般消費者有許多特性上的差異。故該類商店在擴展虛擬通路之前,亦不能忽略不同消費族群特性上的差異可能對線上購物系統的使用意圖所造成的影響。本研究主要以五金零售產業為例,以科技接受模式做為理論基礎,探討線上購物系統使用環境與個人特徵如何影響專業消費者的線上購物接受度,其中系統使用環境包括電子商務成功模式的系統品質、資訊品質與服務品質;個人特徵則包括電腦自我效能、電腦焦慮、個人創新接受度與產品涉入,做為科技接受模式之外部變數。
研究結果發現,五金專業消費者的系統品質、資訊品質、電腦自我效能、電腦焦慮與個人創新接受程度均影響五金線上購物認知易用性;系統品質、資訊品質、電腦自我效能與電腦焦慮亦均影響五金線上購物認知有用性,且五金線上購物接受意圖亦受到認知有用與易用性的影響。
最後,本研究根據分析結果討論,進一步探究專業消費者與一般消費者於品質認知和個人特徵上之差異性,並針對未來學術研究及五金傳統產業業者欲經營線上購物擬定政策提出建議。
With the maturity of the e-commerce environment and the increase of online shoppers, many physical stores have adopted the clicks-and-mortar business model. However, for many traditional industries, such as the hardware industry, their customers are professional consumers and unlike general consumers in many ways. Therefore, before developing their virtual channels, these industries need to assess the impact of each consumer group’s characteristics on their intention to use the online shopping systems. This study was focused on the hardware retail industry. Based on Technology Acceptance Model (TAM), it aimed to investigate how online shopping environment and individual characteristics affect professional consumers’ acceptance of online shopping. Online shopping environment involved the variables of the E-commerce Systems Success model, including system quality, information quality, and service quality. Individual characteristics included computer self-efficacy, computer anxiety, acceptance of innovation, and product involvement. These were used as external variables of TAM.
Results showed that for professional hardware consumers, system quality, information quality, computer self-efficacy, computer anxiety, and personal acceptance of innovation all influence the perceived ease of use of the online hardware shopping system; system quality, information quality, computer self-efficacy, and computer anxiety all influence the perceived usefulness of the online hardware shopping system; their intention to accept the online hardware shopping is also affected by the perceived usefulness and perceived ease of use of the system.
Finally, based on the analysis result, this study further examined the difference between professional consumers and general consumers in their perception of quality and individual characteristics. Some suggestions for future researchers and traditional hardware companies planning to adopt an online shopping system were also proposed.
目錄
摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VIII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 6
第四節 研究流程 8
第二章 文獻探討 9
第一節 電腦自我效能 9
第二節 電腦焦慮 10
第三節 個人創新科技接受度 11
第四節 產品涉入 12
第五節 資訊系統成功模式 14
第六節 電子商務成功模式 18
第七節 科技接受模式 23
第三章 研究假說推導 25
第一節 系統品質與認知有用性、認知易用性 26
第二節 資訊品質與認知有用性、認知易用性 26
第三節 服務品質與認知有用性、認知易用性 27
第四節 電腦自我效能與認知有用性、認知易用性 28
第五節 電腦焦慮與認知有用性、認知易用性 29
第六節 個人創新與認知有用性、認知易用性 30
第七節 產品涉入與認知有用性、認知易用性 30
第八節 認知有用性、認知易用性、使用意圖 31
第九節 研究模式與假說彙整 32
第四章 研究方法與資料分析 34
第一節 研究方法 34
第二節 研究對象與資料收集來源 43
第三節 先導研究 43
第五章 正式問卷資料分析 55
第一節 敘述統計 55
第二節 一階正式問卷信效度檢驗 56
第三節 模式驗證 65
第四節 一般消費者基本資料 67
第五節 研究構念比較 68
第六節 一般消費者模式驗證 69
第七節 小結 71
第六章 結論與研究貢獻 73
第一節 結論 73
第二節 分群結果討論 81
第三節 研究貢獻 84
第四節 研究限制 87
第五節 未來研究方向建議 87
參考文獻 89
附錄A 研究正式問卷 96


表目錄
表 1、傳統五金零售產業與一般網路產業比較表(本研究整理) 3
表 2、消費者特性比較表(本研究整理) 3
表 3、相關研究之涉入定義 12
表 4、專業消費者與一般消費者涉入程度比較表(本研究整理) 14
表 5、資訊系統成功模式之定義與衡量項目表 20
表 6、電子商務成功模式之定義與衡量項目表 20
表 7、電子商務成功模式與資訊成功模式比較表 21
表 8、假說與理論基礎彙整 32
表 9、系統品質之衡量問項 35
表 10、資訊品質之衡量問項 36
表 11、服務品質之衡量問項 37
表 12、電腦自我效能之衡量問項 38
表 13、電腦焦慮之衡量問項 39
表 14、個人創新接受程度之衡量問項 39
表 15、產品涉入之衡量問項 40
表 16、認知有用、易用性與接受意圖之衡量問項 41
表 17、研究構念之操作型定義與參考來源 41
表 18、樣本基本資料 44
表 19、一階各構念之Cronbach’s α與各題項之因素負荷量 45
表 20、一階各構念之AVE、CR與相關係數值 48
表 21、一階各構念之交叉負荷表 48
表 22、各構念之Cronbach’s α與各題項之因素負荷量 51
表 23、各構念AVE相關係數值 52
表 24、各構念之交叉負荷表 52
表 25、資料分析流程 54
表 26、正式樣本資料 55
表 27、一階構念之Cronbach’s α與各題項之因素負荷量 57
表 28、一階各構念CR、AVE與相關係數值 59
表 29、一階各構念之交叉負荷表 59
表 30、各構念之Cronbach’s α與各題項之因素負荷量 62
表 31、各構念CR、AVE與相關係數值 63
表 32、各構念交叉負荷量 63
表 33、專業消費者模式驗證假說整理 66
表 34、一般消費者基本資料 67
表 35、樣本研究構念比較 69
表 36、一般消費者模式驗證假說整理 70
表 37、假說整理比較 72


圖目錄
圖 1、研究流程 8
圖 2、資訊系統成功模式 14
圖 3、資訊系統成功之構念提出理論 15
圖 4、因果模式 16
圖 5、流程模式 16
圖 6、Seddon (1997)修正後的D&M 17
圖 7、修正後D&M 資訊系統成功模式 18
圖 8、電子商務成功模式 19
圖 9、理性行為理論 23
圖 10、科技接受模式 24
圖 11、簡化的TAM 24
圖 12、研究模式 25
圖 13、專業消費者模式驗證 66
圖 14、一般消費者模式驗證 70
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
Agarwal, R., & Karahanna, E. (2000). Time flies when you''re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal Innovativeness in the domain of Information technology. Information Systems Research, 9(2), 204-215.
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391.
Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls Electronic Commerce Research and Applications, 3(4), 405-420
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.
Amichai-Hamburger, Y. (2002). Internet and personality. Computers in Human Behavior, 18(1), 1-10.
Baen, J. (2000). The effect of technology on retail sales, commercial property values and percentage rents. Journal of Real Estate Portfolio Management,, 6(2), 185-201.
Bailey, J. E., & Pearson, S. W. (1983). Development ofa tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545.
Bakos, J. Y. (1991). A strategic analysis of electronic marketplaces. MIS Quarterly, 15(3), 295-310.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change.
Bandura, A. (1986). Social foundations of thought and action prentice-hall.
Bozionelos, N. (2001). Computer anxiety: relationship with computer experience and prevalence. Computers in Human Behavior 17(2), 213-224.
Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: an empirical examination. Industrial Management & Data Systems, 105(5), 645 - 661.
Chin, W., & Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. Data Base, 26(2-3), 42-63.
Chin, W., & Todd, P. (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.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.): Mahwah, New Jersey: Lawrence Erlbaum Associates.
Citrin, A. V., Sprott, D. E., Silverman, S. N., & Stem, D. E. (2000)., Adoption of internet shopping: the role of consumer innovativeness. Industrial Management and Data Systems, 100(7), 294-300.
Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measurea nd initial test. MIS Quarterly, 19(2), 189-211.
Compeau, D., & Higgins, C. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23(2), 145-158.
D’Ambra, J., & R.E., R. (2001). Emerging factors in user evaluation of the World Wide Web. Information & Management, 38(6), 373-384.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
Davis, F., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: A comparison of two theoretical models Management Science, 35(8), 982-1003.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results, doctoral dissertation, sloan school of management. Massachusetts Institute of Technology.
Delone, W. H., & Maclean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
Delone, W. H., & Maclean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success mode. International Journal of Electronic Commerce, 9(1), 31-47.
Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: Validation e-commerce metrics. Information Systems Research, 13(3), 316-333.
Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of Advertising Research, 39(3), 52-58.
Emery, J. C. (1971). Costbenefit analysis oftnformaton systems" SMIS workshop report: No 1: The society for management information systems.
Engal, J. F., & Blackwell, R. D. (1995). Consumer Behavior Texas:The Dryden Press.
Fenech, T. (1998). Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Networks and ISDN Systems, 30(1-7), 629-630.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research: Reading (MA): Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobervables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51-90.
Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: an extension to the technology acceptance model. MIS Quarterly, 21(4), 389-400.
Gilroy, F. D., & Desai, H. B. (1986). Computer anxiety: sex, race and age. International journal of man-machine studies 25(6), 711-719.
Hackbarth, G., Grover, V., & Yi, M. Y. (2003). Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use. Information & Management, 40(3), 221-232.
Hair, J. F., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998). Multivariate data analysis.
Hamilton, S., & L.C., N. (1981). Evaluating Information System Effectiveness. Part I. Comparing Evaluation Approaches. MIS Quarterly, 5(3), 55-69.
Harrison, A., & Rainer, K. (1992). The influence of individual differences on skills in end-user computing. Journal of Management Information Systems, 9(1), 93-111.
Heinssen, R. K., Glass, C. R., and Knight, L. A. (1987). Assessing Computer Anxiety: Development and Validation of the Computer Anxiety Rating Scale. Computers and Human Behavior, 3(1), 49-59.
Hendershott, P., Hendershott, H., & Hendershott, T. (2000). Will the Internet Reduce the Demand for the MallSpace? Real Estate Finance, 17(1).
Hills, P., & Argyle, M. (2003). Uses of the internet and their relationships with individual differences in personality. Computers in Human Behavior, 19(1), 59-70.
Hu, P., Chau, P., Sheng, O., & Tam, K. (1999). Examing the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91-112.
Huizingh, E. (2000). The content and design of web sites: an empirical study. Information & Management, 37(3), 123-134.
Hung, S. Y., Ku, C. Y., & Chang, C. M. (2003). Critical factors of WAP services adoption: An empirical study. Electronic Commerce Research and Applications, 2(1), 46-60.
Igbaria, M., & Chakrabarti, A. (1990). Computer anxiety and attitudes towards microcomputer use. Behaviour & Information Technology, 9(3), 229-241.
Igbaria, M., & Iivari, J. (1995). The Effects of Self-efficacy on Computer Usage. Omega, 23(6), 587-605.
Jarvenpaa, S. L., & Todd, P. A. (1996-1997). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59-88.
Kotler, P. (2003). Marketing management (Eleventh ed.). Prentice Hall.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
Krugman, H. E. (1965). The Impact of Television Advertising: Learning without Involvement. Public Opinion Quarterly, 29(Fall), 349-356.
Kuo, Y. F., & Yen, S. N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25, 103-110.
Laczniak, R., Muehling, D., & Grossbart, S. (1989). Manipulating Message Involvement in Advertising Research. Journal of Advertising 18(2), 28-38.
Larcker, D. F., & Lessig, V. P. (1980). Perceived Usefulness of information: A Psychometric Examination. Decision Sciences, 11(1), 121-134.
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: an empirical study of knowledge worker. MIS Quarterly, 27(4), 657-678.
Liang, T. P., & Huang, J. S. (1998). An empirical study on consumer acceptance on products in electronic markets: A transaction cost model. Decision Support Systems, 24(1), 29-43.
Liao, Z., & Cheung, M. T. (2001). Internet-based e-shopping and consumer attitudes: an empirical study. Information & Management, 38(5), 299-306.
Light, A., & Wakeman, I. (2001). Beyond the interface: users’ perceptions of interaction and audience on web sites. Interacting with Computers, 13(3), 325-351.
Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from internet? A longitudinal study of online shopping. IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, 30(4), 421-432.
Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information and Management, 38(1), 23-33.
Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & Management, 1(5), 219-234.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
Mittal, B. (1989). Measuring Purchase-decision Involvement. Psychology and Marketing, 6(2), 147-162.
Molla, A., & Licker, P. S. (2001). E-commerce systems success: An attempt to extend and respecify the DeLone and McLean model of IS success. Journal of Electronic Commerce Success, 2(4), 1-11.
MORROW, P. C., PRELL, E. R., & MCELROY, J. C. (1986). Attitudinal and behavioral correlates of computer anxiety. Psychological reports, 59(3), 1199-1204.
Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1997). A comprehensive model for assessing the quality and productivity of the information systems function: toward a theory for information system assessment. Information Resources Management Journal, 6-25.
Ong, Lai, J. Y., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41(6), 795-804.
Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151-167.
Parasuraman, Z., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.
Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement. Journal of Consumer Research, 10(2), 135-146.
Phau, I., & Poon, S. M. (2000). Factors influencing the types of products and services purchased over the Internet. Internet Research, 10(2), 102-113.
Pitt, L. F., Waston, R. T., & Kavan, C. B. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-188.
Rogers, E. M. (1983). Diffusion of Innovations: New York:The Free Press.
Scott, M. J., & Stradling, S. G. (1992). Counselling for post-tvaumatic stress disorder. London: Sage Publications.
Seddon, P. B. (1997). A respecification and extension of the Delone and McLean model of IS success. Information Systems Research, 8(3), 240-252.
Shannon, C. E., & Weaver, W. (1949). The Mathematical Theory of Communication: Urbana, IL: University of Illinois Press.
Sherif, M., & Cantril, H. (1947). he Psychology of Ego-involvement: New York: John Wiley and Sons, Inc.
Sin, L., & Tse, A. (2002). Profiling internet shoppers in Hong Kong: demographic, psychographic, attitudinal and experiential factors. Journal of Interactive Marketing, 15(1), 7-29.
Slyke, C. V. (2002). Gender differences in perceptions of web-based shopping. Communications of the ACM, 47(7), 82-86.
Spielberger, C. (1966). Anxiety and Behavior: New York: Academic Press.
Srinivasan, A. (1985). Alternative measures of system effectiveness: associations and implications. MIS Quarterly, 9(3), 243-253.
Swanson, E. B. (1974). Management Information Systems: Appreciation and Involvement. Management Science, 21(2), 178-188.
Szajna, B. (1994). Software evaluation and choice: predictive evaluation of the Technology Acceptance Instrument. MIS Quarterly, 18(3), 319-324.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381-396.
Traylor, B. M. (1981). Product Involvement and Brand Commitment. Journal of Advertising Research, 21(6), 51-56.
Troy, J., & Michael, J. (1997). Characteristics of electronic markets. Decision Support Systems 21(3), 185-198.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly 27(3), 425-478.
Vijayasarathy, L. R., & Jones, J. M. (2000). Print and internet catalog shopping: assessing attitudes and intentions. Internet Research-Electronic Networking Applications and Policy, 10(3), 191-202.
White, K. S., & Farrell, A. D. (2001). Structure of anxiety symptoms in urban children: A test of competing factor analytic models of the Revised Children''s Manifest Anxiety Scale. Journal of Consulting and Clinical Psychology, 69(2), 333-337.
Williams, J., Watts, F., MacLeod, C., & Mathews, A. (1997). Cognitive Psychology and emotional disorders, 2nd Ed., Chichester : John Wiley and Sons.
Yang, K. C. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. . Telematics and Informatics, 22(3), 257–277.
Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view Information & Management, 43(3), 350-363.
Zaichkowsky, J. L. (1985). Measuring the Involvement Construct. Journal of Consumer Research, 12(3), 341-352.
Zhou, L., Dai, L., & Zhang, D. (2007). Online Shopping Acceptance Model- A Critical Survey of Consumer Factors in Online Shopping. Journal of Electronic Commerce Research, 8(1).
台灣網路資訊中心(2009),台灣網際網路使用調查,http://www.twnic.net.tw/
資策會(2008),台灣B2C線上購物調查報告,http://mic.iii.org.tw/intelligence/
行政院勞工委員會(2009),職業特性調查,http://www.cla.gov.tw/
經濟部(2008),電子商務年鑑報告,http://gcis.nat.gov.tw/ec/index.asp
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