(3.236.6.6) 您好!臺灣時間:2021/04/23 21:22
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:::

我願授權國圖
: 
twitterline
研究生:阮成功
研究生(外文):NGUYEN, THANH-CONG
論文名稱:使用D&M 資訊系統成功模式探討Vatgia.com 網站之成功因素
論文名稱(外文):Assessing Vatgia.com Website Success Using D&M IS Success Model
指導教授:陳佳莉陳佳莉引用關係
指導教授(外文):CHEN, CHAI-LI
口試委員:王貞雅林國平陳佳莉
口試委員(外文):WANG, CHEN-YALIN, KUO-PINGCHEN, CHAI-LI
口試日期:2016-06-30
學位類別:碩士
校院名稱:龍華科技大學
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:2018
畢業學年度:106
語文別:英文
論文頁數:51
中文關鍵詞:DeLone&McLean IS成功模式電子商務用戶滿意度使用意向淨收益
外文關鍵詞:Delone & Mclean Is Success ModelE-CommerceUser SatisfactionIntention to UseNet Benefits
相關次數:
  • 被引用被引用:2
  • 點閱點閱:142
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:50
  • 收藏至我的研究室書目清單書目收藏:1
在這資訊科技蓬勃發展的現今,許多企業透過電子商務將產品及服務推向全球。由於網際網路具有無遠弗屆的優點,線上購物使得零售商更有效率的延伸它的賣場。越南的Vatgia.com 線上購物網站就是個成功的案例。本研究使用D&M所提出資訊系統成功模式的七個因素(資訊品質、系統品質、服務品質與有意願使用、使用、使用滿意度、淨效益)來探討Vatgia.com 網站的成功。並使用Smart PLS 來建構及分析資料。研究結果顯示:資訊品質、系統品質、服務品質及使用者滿意度對有意願使用有正相關;系統品質、服務品質及使用對使用者滿意度有正相關;使用者滿意度與使用對淨效益有正相關;而資訊品質與使用者滿意度不支持正相關。
We are living in a new era, the era of information technology. Along with the development of information technology, the advent of e-commerce is an inevitable trend has become a field of very strong development of the industry to promote products and services on globally. Because of the worldwide nature of the Internet, online shopping turn into an effective tool for retailers to extend their market. As one of the first companies in the field, Vatgia.com, an online shopping retailer, which has been achieving a lot of accomplishments, appeared in Vietnam. By using D&M IS Success Model, this study assessed the success of Vatgia.com to the website through seven factors: information quality, system quality, service quality, and intention to use, use, user satisfaction and net benefits. This study uses Smart PLS for constructs analyzing. There were nine positive and one negative relationship in the outcome. The positive relationships included Information Quality, System Quality, Service Quality, and User Satisfaction to Intention to Use; System Quality, Service Quality, and Use to User Satisfaction; User Satisfaction and Use to Net Benefits. The only unsupported relationship is Information Quality to User Satisfaction.
ABSTRACT i
摘要 ii
ACKNOWLEDGEMENT iii
TABLE OF CONTENTS iv
LIST OF TABLES vi
LIST OF FIGURES vii
Chapter 1 INTRODUCTION 1
1.1 Research Background 1
1.2 Research Objectives 2
1.3 Research Procedure 2
1.4 Research Structure 4
Chapter 2 LITERATURE REVIEW 5
2.1 E-Commerce 5
2.2 IS Success Model 5
2.3 Updated IS Success Model 6
2.4 Relevant Researches 7
2.4.1 System Quality 8
2.4.2 Service Quality 9
2.4.3 Use 10
2.4.4 Intention to Use 10
2.4.5 User Satisfaction 11
2.4.6 Net Benefits 11
2.5 Relationships between Research Constructs 11
2.5.1 Information Quality and Intention to Use 12
2.5.2 System Quality and Intention to Use 12
2.5.3 Service Quality and Intention to Use 12
2.5.4 Information Quality and User Satisfaction 12
2.5.5 System Quality and User Satisfaction 13
2.5.6 Service Quality and User Satisfaction 13
2.5.7 Use and User Satisfaction 14
2.5.8 User Satisfaction and Intention to Use 14
2.5.9 Use and Net Benefits 14
2.5.10 User Satisfaction and Net Benefits 15
Chapter 3 RESEARCH DESIGN AND METHODOLOGY 16
3.1 Research Hypotheses 16
3.2 Conceptual Framework 16
3.3 Construct Measurements 17
3.4 Research Design 19
3.4.1 Data Sample 19
3.4.2 Data Collection 20
3.5 Data Analysis 20
3.5.1 Descriptive Statistics Analysis 20
3.5.2 Partial Least Square 20
Chapter 4 RESEARCH ANALYSIS AND RESULTS 21
4.1 Pilot Study 21
4.2 Descriptive analysis 21
4.3 Analysis and result of PLS approach 25
4.3.1 Reliability 25
4.3.2 Convergent Validity 25
4.3.3 Discriminant Validity 25
4.3.4 Assessment of effect 27
4.3.5 Variance Inflation Factor 28
4.4 Hypothesis testing results 29
4.5 Discussion 31
Chapter 5 CONCLUSION 34
5.1 Summary 34
5.2 Research Contributions 35
5.2.1 Theoretical Contributions 35
5.2.2 Practical Contributions 35
5.2.3 Managerial Contributions 35
5.3 Research Limitations and Further Research Directions 35
REFERENCES 37
APPENDIX 44


1.A.H. Mutia Sobihah (2015). “Relationship Between E-Commerce Service Quality, Satisfaction, Trust, and Customer Loyalty in the Hotel Industry in the east Coast of Peninsular Malaysia”; GTAR-2015; Full Paper Proceeding; Vol-1,429-440.
2.Aigbedo, H., and Parameswaran, R. (2004). Importance-performance analysis for improving quality of campus food service. International Journal of Quality & Reliability Management, 21, 876-896.
3.Bauer, H. H., Falk, T., & Hammerschmidt M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875.
4.Bharati, P. (2003), “People and information matter: Task support satisfaction from the other side,” Journal of Computer Information Systems, 43(5), 93-102.
5.Boulding, W., Kalra, A., Richard, S., & Zeithaml, V. A. (1993). A dynamic process.
6.Boulding, William; Kalra, Ajay; Staelin, Richard; Zeithaml, Valarie A. (1993). A dynamic process model of service quality: From expectations to behavioral intentions. Journal of Marketing Research, 30(1), 7-27.
7.Byrd, T. A., Thrasher, E. H., Lang, T., & Davidson, N. W. (2006). A process-oriented perspective of is success: Examining the impact of is on operational cost. Omega, 34(6), 448–460.
8.Chae, M., Kim, J., Kim, H., & Ryu, H. (2002). Information quality for mobile internet services: A theoretical model with empirical validation. Electronic Markets, 12(1), 38-46.
9.Chang, M. K., & Cheung, W. (2001). Determinants of the intention to use Internet/WWW at work: a confirmatory study. Information & Management, 39(1), 1-14.
10.Chen, F.P., Chen, C.K.N., and Chen, K.S. 2001. The integrated evaluation model for administration quality based on service time. Managing Service Quality, 11, pp. 342-349.
11.Chen, H. (2010), “Linking employees’ e-learning system use to their overall job outcomes: An empirical study based on the IS success model”, Computers & Education, Vol. 55 No. 4, pp. 1628–1639.
12.Chen, J., Batchuluun, A., Batchuluun, J., (2015). Service s innovation impact to customer satisfaction and customer value enhancement in airport. Technology in Society.
13.Chen, K.-C., & Jang, S.-J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741-752.
14.Cheng, Y.Y. (2012), “Effects of quality antecedents on e-learning acceptance”, Internet Research, Vol. 22 No. 3, pp. 361–390.
15.DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
16.Delone, W. H., & McLean, 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.
17.DeSanctis, G. L. (1982). An examination of an expectancy theory model of decision support system use.
18.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.
19.Doll, W.J. & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12, 259–274.
20.Etezadi-Amoli, J., & Farhoomand, A. F. (1996). A structural model of end user computing satisfaction and user performance. Information & management, 30.
21.Gelderman, M. (1998). The relation between user satisfaction, usage of information systems, and performance. Information & Management, 34, 11–18.
22.Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
23.Guimaraes T., Igbaria M., (1997). Client/server system success: exploring the human side. Decision Sciences. 28(4), 851–876.
24.Gupta, S., McLaughlin, E., and Gomez, M. 2007. Guest satisfaction and restaurant performance. Cornell Hotel and Restaurant Administration Quarterly, 48, p. 284.
25.Halawi, L.A., McCarthy, R.V. and Aronson J.E. (2007). An empirical investigation of knowledge-management systems’ success. The Journal of Computer Information Systems, 48(2), 121–135.
26.Hassanzadeh A., Kanaani F., & Elahi S. (2012). A model for measuring e-learning systems success in universities. Expert Systems with Applications, 39, 10959-10966.
27.Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning systems success in universities. Elsevier - Expert Systems with Applications, 39, 10959–10966.
28.Holsapple C.W., Lee-Post A. (2006). Defining, Assessing, and Promoting E-Learning Success: An Information Systems Perspective. Decision Sciences Journal of Innovative Education, Vol. 4 Number 1 January 2006.
29.Hsieh, P. J., & Cho, V. (2011). Comparing e-Learning tools’ success: The case of instructor–student interactive vs. self-paced tools. Computers & Education, 57, 2025-2038.
30.Huang, Y.-M., Hwang, W.-Y., & Chang, K.-E. (2010). Guest Editorial – Innovations in Designing Mobile Learning Applications. Educational Technology & Society, 13(3), 1–2.
31.Igbaria, M., Guimaraes, T., & Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of management information systems, 87-114.
32.Igbaria, M., Zinatelli, N., Cragg, P., and A.L.M. Cavaye. (1997). Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model. MIS Quaterly, Vol.21, No.3, 279-305.
33.Igbaria, M., Zinatelli, N., Gragg, P. & Cavaye, A. (1997). Personal computing acceptance factors on small firms: a structural equation model. MIS Quarterly, 21, 279–302.
34.Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
35.Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145-159.
36.Kulkarni, U.R., Ravindran, S. and Freeze, R. (2006). A knowledge management success model: theoretical development and empirical validation. Journal of Management Information Systems. 23(3), 309–347.
37.Kuo, Y. F. (2003). A study on service quality of community websites. Total Quality Management and Business Excellence, 14(4), 461-473.
38.Landrum, H., & Prybutok, V. R. (2004). A service quality and success model for the information service industry. European Journal of Operational Research, 156(3).
39.Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375.
40.Lee-Post, A. (2009). E-learning Success Model: an information systems Perspective. Electronic Journal of e-learning, v. 7, n. 1, p. 61-70.
41.Liang, T. P., & Lai, H.J. (2002). Effect of store design on consumer purchases: An empirical study of on-line bookstores. Information & Management, 39(6), 431-444.
42.Lin, H. (2007). The Impact of Website Quality Dimensions on Customer Satisfaction in the B2C E commerce Context. Total Quality Management, 18(4), 363–378.
43.Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International journal of information management, 20(3), 197-208.
44.Lin, W.-S. and Wang, C.-H. (2012), “Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit”, Computers & Education, Vol. 58 No.1, pp. 88–99.
45.Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51-87.
46.Lucas Jr, H. C. (1978). Empirical evidence for a descriptive model of implementation. MIs Quarterly, 27-42.
47.McAlexander, J. H., Kaldenberg, D. O., & Koenig, H. F. (1994). Service quality measurement: Examination of dental practices sheds more light on the relationships between service quality, satisfaction, and purchase intentions in a health care setting. Journal of Health Care Marketing, 14(1), 34-39.
48.McGill, T., Hobbs, V., & Klobas, J. (2003). User developed applications and information systems success: A test of DeLone and McLean's model. Information Resources Management Journal (IRMJ), 16(1), 24-45.
49.Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation, Computers & Education, Volume 53, Issue 4, December 2009.
50.Palmer, J. (2002). Website usability, design and performance metrics. Information Systems Research, 13: 2.
51.Palvia, P.C. (1996). A model and instrument for measuring small business user satisfaction with information technology. Information & Management, 31, 151–163.
52.Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
53.Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1994). Reassessment of expectations as a comparison in measuring service quality: Implications for further research. Journal of Marketing, 58(1), 111-124.
54.Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
55.Parasuraman, A., 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.
56.Parker, M.A., & Martin, F. (2010). Using Virtual Classrooms: Student Perceptions of Features and Characteristics in an Online and a Blended Course. MERLOT Journal of Online Learning and Teaching. Vol. 6, No. 1, March 2010.
57.PETTER, S., McLean, E. R. (2009); "A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level"; Information Management, 46(3), 159-166.
58.Pitt, L. F., Watson, R. T., & Kavan, C. B. (1997). Measuring information systems service quality: Concerns for a complete canvas. MIS Quarterly, 21(2), 209-221.
59.Pun, K.F., and Ho, K.Y. 2001. Identification of service quality attributes for restaurant operations: a Hong Kong case. Journal of Managing Service Quality, 11, 233-240.
60.H. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1985, ch. 4.
61.Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50-69.
62.Rai, A., Lang, S.S. & Welker, R.B. (2002). Assessing the validity of IS success models: an empirical test and theoretical analysis. Information Systems Research, 13, 50–69.
63.Robey, D. (1979). User attitudes and management information system use. Academy of Management Journal, 22(3), 527-538.
64.Saarinen, T (1996). “An Expanded Instrument for Evaluating Information System Success,” Information & Management (31), 1996, pp. 103-118.
65.Seddon, P.B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8, 240-253.
66.Swaid, S. I., & Wigand, R. T. (2009). Measuring the quality of e-service: Scale development and initial validation. Journal of Electronic Commerce Research, 10(1), 13-28.
67.Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
68.Thongsamak, S. 2001. Service quality: Its measurement and relationship with customer satisfaction. Research paper, pp45-47.
69.van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
70.Van Dyke, T. P., Kappelman, L. A., & Prybutok, V. R. (1997). Measuring information systems service quality: Concerns on the use of the SERVQUAL questionnaire. MIS Quarterly, 21(2), 195-208.
71.Vatanasombut, B., Lgbaria, M., Stylianou, A., and Rodgers, W. (2010). Information System Continuance Intention of Web Based Applications Customers: The Case of Online Banking, Information and Management. (45:7), November 2008, pp. 419- 428.
72.Wang, H. and Chiu, Y. (2011). Assessing e-learning 2.0 system success, Computers & Education, Vol. 57, pp. 1790–1800.
73.Wang, Y.-S. & Tang, T.-I (2003). Assessing customer perceptions of Web sites service quality in digital marketing environments. Journal of End User Computing, 15, 14–31.
74.Wang, Y.S. (2008). Assessing e-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557.
75.Wang, Y. S. and Liao, Y. W. (2008). “Assessing e-Government systems success: A validation of the DeLone and McLean model of information systems success”, Government Information Quarterly, 25, 717-733.
76.Wang, Y.-S., Tang, T.-I & Tang, J.-T.D. (2001). An instrument for measuring customer satisfaction toward Web sites that market digital products and services. Journal of Electronic Commerce Research, 2, 89–102.
77.Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.
78.Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.
79.Y.-S. Wang, Y.W. Liao; (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly 25 (2008) 717–733.
80.Yang, Z., Cai, S., Zhou, Z., & Zhou, N. (2005). Development and validation of an instrument to measure user perceived service quality of information presenting Web portals. Information & Management, 42(4), 575-589.
81.Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. The Journal of Marketing, 60(2), 31-46.
82.Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Academy of Marketing Science.Journal, 30(4), 362-375.
83.Zhou, T., Lu, Y., & Wang, B. (2011). A comparative analysis of Chinese consumers’ increased vs. decreased online purchases. Journal of Electronic Commerce in Organizations, 9(1), 38- 55.
84.Hu Xinli, (2015). "Effectiveness of information technology in reducing corruption in China: A validation of the DeLone and McLean information systems success model", The Electronic Library, Vol. 33 Iss: 1, pp.52 – 64.
85.Coombs, C.R., Doherty, N.F. and Loan-Clarke J., (2001). “The importance of user ownership and positive user attitudes in the successful adoption of community information systems”. Journal of End User Computing, 13(4), 5-16.
86.Gefen D., (2000). “It is not enough to be responsive: the role of cooperative intentions in MRP II adoption”. The DATA BASE for Advances in Information System, 31(2), 65–79.
87.Collopy F., (1996). “Biases in retrospective self-reports on time use: an empirical study of computer users”. Management Science, 42(5), 758–767.
88.Venkatesh V, Morris M.G., Davis G.B. and Davis F.D., (2003). “User acceptance of information technology: toward a unified view”. MIS Quarterly, 27(3), 425–478.
89.Coombs, C.R., Doherty, N.F. and Loan-Clarke, J., (2001). “The importance of user ownership and positive user attitudes in the successful adoption of community information systems”. Journal of End User Computing 13(4), 5–16.
90.Kositanurit, B, Ngwenyama, O and Osei-Bryson Kweku., (2006). An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques. European Journal of Information Systems 15(6), 556–568.
91.Adams, D.A., Nelson, R.R. and Todd, P.A., (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly 16(2), 227–247.
92.Halawi, L.A., McCarthy, R.V. and Aronson, J.E., (2007). An empirical investigation of knowledge-management systems' success. The Journal of Computer Information Systems 48(2), 121–135.
93.Iivari, J, (2005). An empirical test of DeLone-McLean model of information systems success. The DATA BASE for Advances in Information Systems 36(2), 8–27.
94.Gelderman, M, (1998). The relation between user satisfaction, usage of information systems and performance. Information & Management 34(1), 11–18.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔