博碩士論文 954401002 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:21 、訪客IP:3.236.52.68
姓名 莊育維(Yu-Wei Chuang)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 資訊系統與人力資訊科技資源對供應鏈績效影響之研究-買方依賴性的干擾效果
(The Effects of IT Systems and Human IT Resources on Supply Chain Performance-The Moderating Role of Buyer Dependence)
相關論文
★ 以第四方物流經營模式分析博連資訊科技股份有限公司★ 探討虛擬環境下隱性協調在新產品導入之作用--以電子組裝業為例
★ 動態能力機會擷取機制之研究-以A公司為例★ 探討以價值驅動之商業模式創新-以D公司為例
★ 物聯網行動支付之探討-以Apple Pay與支付寶錢包為例★ 企業資訊方案行銷歷程之探討-以MES為例
★ B2C網路黏著度之探討-以博客來為例★ 組織機制與吸收能力關係之研究-以新產品開發專案為例
★ Revisit the Concept of Exploration and Exploitation★ 臺灣遠距醫療照護系統之發展及營運模式探討
★ 資訊科技對知識創造影響之研究-探討社會鑲嵌的中介效果★ 資訊科技對公司吸收能力影響之研究-以新產品開發專案為例
★ 探討買賣雙方鑲嵌關係影響交易績效之機制 ─新產品開發專案為例★ 資訊技術運用與協調能力和即興能力 對新產品開發績效之影響
★ 團隊組成多元性影響任務衝突機制之研究─ 以新產品開發專案團隊為例★ 社會鑲嵌與團隊衝突影響產品創新與效用之研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 良好的跨組織間關係被視為是公司取得競爭優勢的來源之一。本研究提出一個在供應鏈情境下的研究架構並檢驗人力資訊科技資源、資訊科技基礎建設整合、買方依賴性、供應鏈流程整合對供應鏈績效的直接與間接效果。實證分析係以台灣前2000大製造業之資訊電子產業為研究對象。透過郵寄與電子郵件方式進行問卷調查,經催收與整理後,共得有效問卷121份。應用部份最小平方分析法進行分析與假說檢定。實證結果指出供應鏈流程整合是影響供應鏈績效的重要中介變數。當人力資訊科技資源與資訊科技基礎建設整合愈正向影響供應鏈流程整合,則它們也愈會對供應鏈績效造成正向影響。再者,組織應該強化其資訊科技人力資源,並透過它來加強資訊科技基礎建設整合的效果。除此之外,買方依賴性正向顯著地干擾資訊科技人力資源與供應鏈流程整合之間的關係。本研究結果也指出供應鏈的伙伴成員應該加強彼此的合作行為,並藉此加強供應鏈流程整合與供應鏈績效。綜合而言,希冀本研究結果能提供後續從事供應鏈組織關係的研究者和實務界之參考。
摘要(英) Inter-organizational relationships have become a key determinant of a firm’s competitive success. This paper presents a research model which examines the direct and indirect effects of human IT resources, IT infrastructure integration, buyer dependence, and supply chain process integration on the supply chain performance in the supply chain context. The hypotheses are tested using partial least squares regression on data collected from 121 major electronics manufacturing firms in Taiwan. The results of the empirical study suggest that supply chain process integration is the key mediating factor influencing supply chain performance. The more a factor (such as human IT resources and IT infrastructure integration) positively contributes to supply chain process integration, the greater its contribution to supply chain performance. In addition, it is found that organizations should enhance the relationship between human IT resources and IT infrastructure integration. Moreover, buyer dependence significantly positively moderates the association of human IT resources with supply chain process integration. The findings provide practical insights to understanding how supply chain partners should reinforce cooperative activities to improve supply chain process integration and performance as a whole.
關鍵字(中) ★ 買方依賴性
★ 資訊科技人力資源
★ 供應鏈績效
★ 資訊科技基礎建設整合
★ 供應鏈流程整合
關鍵字(英) ★ IT infrastructure integration
★ supply chain process integration
★ human IT resource
★ supply chain performance
★ buyer dependence
論文目次 Abstract i
Acknowledgement iii
Contents v
List of Figures vi
List of Tables vii
1. Introduction 1
2. Relational Perspective and IT-based Supply Chain Relationships 6
3. The Research Model and Hypotheses 9
3.1 Human IT Resources 9
3.2 IT Infrastructure Integration 11
3.3 Supply Chain Process Integration 12
3.4 Supply Chain Performance 13
3.5 Buyer Dependence 14
3.6 Hypotheses Development 14
4. Research Method and Data Collection 23
4.1 Measures 23
4.2 Pre-test 23
4.3 Data Collection Procedure 26
5. Data Analysis and Results 29
5.1 Non-response Bias 29
5.2 Multivariate Normality and Unidimensionality 29
5.3 Analysis of Measurement Model 30
5.3.1 Content Validity 33
5.3.2 Convergent Validity 33
5.3.3 Discriminate Validity 36
5.4 Assessment of Structural Model 37
5.5 Common Method Bias 39
5.6 Test of Mediating Effects 41
6. Discussion 44
7. Conclusions and Future Research 48
Reference 50
Appendix 61
參考文獻 1.Armstrong, J.S., and Overton, T.S. (1977). Estimating nonresponse bias in mail surveys, Journal of Marketing Research, 14(3), 396-402.
2.Bacharach, S., and Lawler, E. (1981). Power and politics in organizations, Jossey-Bass, San Francisco.
3.Barclay, D., Higgins, C., and Thomson, R. (1995). The partial least squares approach (PLS) to causal modeling, personal computer adoption and use as an illustration, Technology Studies, 2(2), 285-309.
4.Barney, J. (1991). Firm resources and sustained competitive advantage, Journal of Management, 17(1), 99-120.
5.Baron, N.S., and Kenney, D.A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations, Journal of Personality and Social Psychology, 51(6), 1173-1182.
6.Barua, A., Konana, P., Whinston, A. B., and Yin, F. (2004). An empirical investigation of net-enabled business value, MIS Quarterly, 28(4), 585-620.
7.Barua, A., Kriebel, C.H., and Mukhopadhyay, T. (1995). Information technologies and business value: an analytic and empirical investigation, Information Systems Research, 6 (1), 3-23.
8.Beamon, B. (1999). Measuring supply chain performance, International Journal of Operations and Production Management, 19(3), 275-292.
9.Bharadwaj, A. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation, MIS Quarterly, 24(1), 169-196.
10.Braganza, A. (2002). Enterprise integration: creating competitive capabilities, Integrated Manufacturing Systems, 13(8), 562-572.
11.Caniëls, M.C.J., and Gelderman, C.J. (2007). Power and interdependence in buyer supplier relationships: A purchasing portfolio approach, Industrial Marketing Management, 36(2), 219-229.
12.Chae, B., Yen, H.R., and Sheu, C. (2005). Information technology and supply chain collaboration: Moderating effects of existing relationships between partners, IEEE Transactions on Engineering Management, 52(4), 440-448.
13.Chen, H., Ellinger, A.E., and Tian, Y. (2011). Manufacturer–supplier guanxi strategy: An examination of contingent environmental factors, Industrial Marketing Management, 40(4), 550-560.
14.Cheng, J.H. (2011). Inter-organizational relationships and information sharing in supply chains, International Journal of Information Management, 31(4), 374-384.
15.Chin, W.W. (1998). The PLS approach to SEM. In G. A. Marcoulides (Ed.), Modern methods for business research, Mahwah, NJ: Erlbaum, pp. 295-336
16.Chin, W.W., Marcolin, B.L., and Newsted, P.R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic-mail emotion/adoption study, Information Systems Research, 14(2), 189-217.
17.Curran, P.J., West, S.G., and Finch, J.F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis, Psychological Methods, 1(1), 16-29.
18.Diamantopoulos, A., and Winklhofer, H.M. (2001). Index construction with formative indicators: An alternative to scale development, Journal of Marketing Research, 38(2), 269-277.
19.Droge, C., Jayaram, J., Vickery, S.K. (2004). The effects of internal versus external integration practices on time-based performance and overall firm performance, Journal of Operations Management, 22(6), 557-573.
20.Dyer, J.F., and Singh, H. (1998). The relational view: cooperative strategy and sources of interorganizational competitive advantage, Academy of Management Review, 23(4), 660-679.
21.Ellinger, A.E., Taylor, J.C., and Daugherty, P.J. (1999). Automatic replenishment programs and level of involvement: Performance implications, The International Journal of Logistics Management, 10(1), 25-36.
22.Emerson, R.M. (1962). Power-dependence relations, American Sociological Review, 27(1), 31-41.
23.Fornell, C.R., and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18(1), 39-50.
24.Frizelle, G., and Efstathiou, J. (2003). The urge to integrate, Engineering Management, 13(4), 14-17.
25.Frohlich, M.T. (2002). e-Integration in the supply chain: barriers and performance, Decision Sciences, 33(4), 537-556.
26.Frohlich, M.T., and Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies, Journal of Operations Management, 19(2), 185-200.
27.Ganesan, K. and Saumen, B. (2005). Corporate turnaround through effective supply chain management: the case of a leading jewellery manufacturer in India, Supply Chain Management, 10(5), 340-348.
28.Ganesan, S. (1994). Determinants of long-term orientation in buyer–seller relationships, Journal of Marketing, 58(2), 1-19.
29.Geyskens, I., Steenkamp, J.E.M., Scheer, L.K., and Kumar, N. (1996). The effects of trust and interdependence on relationship commitment: A trans-Atlantic study, International Journal of Research in Marketing, 13(4), 303-317.
30.Goldhar, J.D., and Lei, D. (1991). The shape of twenty-first century global manufacturing, The Journal of Business Strategy, 12(2), 37-41.
31.Gulati, R., and Sytch, M. (2007). Dependence asymmetry and joint dependence in interorganizational relationships: Effects of embeddedness on a manufacturer’’s performance in procurement relationships, Administrative Science Quarterly, 52(1), 32-69.
32.Gurbaxani, V., and Whang, S. (1991). The impact of information systems on organizations and markets, Communications of the ACM, 34(1), 59-73.
33.Gustin, C.M., Daugherty, P.J., and Stank, T.P. (1995). The effects of information availability on logistics integration, Journal of Business Logistics, 16(1), 1-12.
34.Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998). Multivariate Data Analysis (5th ed.), Prentice Hall, Englewood Cliffs, NJ.
35.Hammer, M. (1990). Reengineering work: Don’t automate, obliterate, Harvard Business Review, 68 (4), 104-114.
36.Handfield, R.B. and Pannesi, R.T. (1995). Antecedents of lead time competitiveness in make-to-order manufacturing firms, International of Journal of Production Research, 33(2), 511-537.
37.Heide, J.B., and John, G. (1988). The role of dependence balancing in safeguarding transaction-specific assets in conventional channels, Journal of Marketing, 52(1), 20-35.
38.Huang, G.Q., Lau, S. K., and Mak, K.L. (2003). The impacts of sharing production information on supply chain dynamics: A review of the literature, International Journal of Production Research, 41(7), 1483-1517.
39.Huber, G. (1990). A theory of the effects of advanced information technologies on organizational, design, intelligence, and decision making, Academy of Management Review, 15(1), 47-71.
40.Jap, S.D. (1999). Pie-expansion efforts: collaboration processes in buyer–supplier relationships, Journal of Marketing Research, 36(4), 461–475.
41.Jayaram, J. Vickery, S.K., and Droge, C. (1999). An empirical study of time-based competition in the North American automotive supplier industry, International Journal of Operations and Production Management, 19(10), 1010-1033.
42.Jöreskog, K.G. (1999). What is the interpretation of R2? http://www.ssicentral.com/lisrel/techdocs/WhatistheinterpretationofR2.pdf
43.Josi, A.W., and Campbell, A.J. (2003). Effect of environmental dynamism on relational governance in manufacture-supplier relationships: A contingency framework and an empirical test, Journal of the Academy of Marketing Science, 31(2), 176-188.
44.Kalakota, R., and Robinson, M. (1999). E-business: Roadmap for success, Addison-Wesley, Reading, MA.
45.Ke, W., Liu, H., Wei, K.K., Gu, J., and Chen, H. (2009). How do mediated and non-mediated power affect electronic supply chain management system adoption? The mediating effects of trust and institutional pressures, Decision Support Systems, 46(4), 839-851.
46.Kim, D., and Lee, R.P. (2010). Systems collaboration and strategic collaboration: Their impacts on supply chain responsiveness and market performance, Decision Sciences, 41(4), 955-981.
47.Klein, R., and Rai, A. (2009). Interfirm strategic information flows in logistics supply chain relationships, MIS Quarterly, 33(4), 735-762.
48.Klein, R., Rai, A., and Straub, D.W. (2007). Competitive and cooperative positioning in supply chain logistics relationships, Decision Sciences, 38(4), 611-646.
49.Komiak, S.Y.X., and Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents, MIS Quarterly, 30(4), 941-960.
50.Lawler, E.J. and Bacharach, S.B. (1987). Comparison of dependence and punitive forms of power, Social Forces, 66(2), 446-462.
51.Lee, H. L., Padmanabhan, V., and Whang, S. (1997). Information distortion in supply chain: The bullwhip effect, Management Science, 43(4), 546-558.
52.Lee, H. L., So, K., and Tang, C. (2000). The value of information sharing in a two-level supply chain, Management Science, 46(5), 626-643.
53.Mahapatra, S.K., Narasimhan, R., and Barbieri, P. (2010). Strategic interdependence, governance effectiveness and supplier performance: A dyadic case study investigation and theory development, Journal of Operations Management, 28(6), 537-552.
54.Malone, T. W., Yates, J., and Benjamin, R.I. (1987). Electronic markets and electronic hierarchies, Communications of the ACM, 30(6), 484-497.
55.Maloni, M., and Benton, W.C. (2000). Power influences in the supply chain, Journal of Business Logistics, 21(1), 49-73.
56.Mata, F.J., Fuerst, W.L., and Barney, J.B. (1995). Information technology and sustained competitive advantage: A resource-based analysis, MIS Quarterly, 19(4), 487-505.
57.Melville M., Kraemer K., and Gurbaxani V. (2004). Review: Information technology and organizational performance: An integrative model of IT business value, MIS Quarterly, 28(2), 283-322.
58.Morash, E.A., and Clinton, S.R. (2002). Supply chain integration: customer value through collaborative closeness versus operational excellence, Journal of Marketing Theory and Practice, 6(4), 104-120.
59.Morgan, R.M., and Hunt, S.D. (1994). The commitment-trust theory of relationship marketing, Journal of Marketing, 58(3), 20-38.
60.Ness, H., and Haugland, S.A. (2005). The evolution of governance mechanisms and negotiation strategies in fixed-duration interfirm relationships, Journal of Business Research, 58(9), 1226-1239.
61.Ordanini, A., and Rubera, G. (2010). How does the application of an IT service innovation affect firm performance? A theoretical framework and empirical analysis on e-commerce, Information & Management, 47(1), 60-67.
62.Paulraj, A., Chen, I.J., Flynn, J. (2006). Levels of strategic purchasing: impact on supply integration and performance, Journal of Purchasing and Supply Management, 12 (3), 107-122.
63.Pavlou, A.P., and Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior, MIS Quarterly, 30(1), 115-143.
64.Pereira, J.V. (2009). The new supply chain’’s frontier: Information management, International Journal of Information Management, 29(5), 372-379.
65.Pfeffer, J. (1981). Power in organizations, Pitman Publishing Inc., Massachusetts.
66.Pfeffer, J., and Salancik, G.R. (1978). The external control of organizations: A resource dependence perspective, Harper & Row, New York.
67.Piccoli, G., and Ives, B. (2005). Review: IT-dependent strategic initiatives and sustained competitive advantage: A review and synthesis of the literature, MIS Quarterly, 29(4), 747-776.
68.Podsakoff, P.M., and Organ, D.W. (1986). Self-reports in organizational research: Problems and prospects, Journal of Management, 12(4), 531-545.
69.Podsakoff, P.M., MacKenzie, S.B., Lee, J., and 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.
70.Powell, T. C., and Dent-Micallef, A. (1997). Information technology as competitive advantage: The role of human, business, and technology resources, Strategic Management Journal, 18(5), 375-405.
71.Powell, T.C. (1992). Organizational alignment as competitive advantage, Strategic Management Journal, 13(2), 119–134.
72.Prakash J. Singh, P.J., Power, D., and Chuong, S.C. (2011). A resource dependence theory perspective of ISO 9000 in managing organizational environment, Journal of Operations Management, 29(1-2), 49-64.
73.Radstaak, G., and Ketelaar, M.H. (1998). Worldwide logistics: The future of supply chain services, Holland International Distribution Council, Hague, The Netherlands.
74.Rai, A., Patnayakuni, R., and Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities, MIS Quarterly, 30(2), 225-246.
75.Rai, A., Ruppel, C., and Lewis, M. (2002). Sense and Respond, White Paper, University Thought Leadership Forum, SAP, 2002 (available online at http://www.vendor-showcase.com/Vendors/221/SAP_Sense-Respond-10-2-02b.pdf; accessed November 14, 2005).
76.Ravichandran, T., and Lertwongsatien, C. (2005). Effect of information systems resources and capabilities on firm performance: A resource-based perspective, Journal of Management Information Systems, 21(4), 237-276.
77.Ross, J.W., Beath, C.M., and Goodhue, D.L. (1996). Develop long-term competitiveness through IT assets, Sloan Management Review, 38(1), 31-42.
78.Ryu, II., So, S.H. and Koo, C. (2009). The role of partnership in supply chain performance, Industrial Management & Data Systems, 19(4), 496-514.
79.Sambamurthy, V., and Zmud, R.W. (1992). Managing IT for success: The empowering business partnership. Morristown: NJ: Financial Executives Research Foundation.
80.Sambamurthy, V., Bharadwaj, A., and Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms, MIS Quarterly, 27(2), 237-263.
81.Sanders, N.R., and Premus, R. (2005). Modeling the relationship between firm IT capability, collaboration, and performance. Journal of Business Logistics, 26(1), 1-23.
82.Seidmann, A., and Sundarajan, A. (1997). Building and sustaining interorganizational information sharing relationships: The competitive impact of interfacing supply chain operations in marketing strategy, in Proceedings of the 18 th International Conference on Information Systems, K. Kumar and J. I. DeGross (eds.), Atlanta, GA, pp. 205-222.
83.Shepherd, C. and Günter, H. (2006). Measuring supply chain performance: current research and future directions, International Journal of Productivity and Performance Management, 55(3/4), 242-258.
84.Smith, G.E., Watson, K.J., Baker, W.H., and Pokorski II, J.A. (2007). A critical balance: Collaboration and security in the IT-enabled supply chain, International Journal of Production Research, 45(11), 2595-2613.
85.Stephen, A.T., and Coote, L.V. (2007). Interfirm behavior and goal alignment in relational exchanges, Journal of Business Research, 60(4), 285-295.
86.Stoel, M.D., and Muhanna, W.A. (2009). IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type, Information & Management, 46(3), 181-189.
87.Subramani, M. (2004). How do suppliers benefit from information technology use in supply chain relationships? MIS Quarterly, 28(1), 45-73.
88.Subramani, M.R., and Venkatraman, N. (2003). Safeguarding investments in asymmetric interorganizational relationships: Theory and evidence, Academy of Management Journal, 46(1), 46-62.
89.Teo, H.H., Tan, B.C.Y., and Wei, K.K. (1997). Organizational transformation using electronic data interchange: the case of tradenet in Singapore, Journal of Management Information Systems, 13(4), 139-165.
90.Vickery, S.K. Droge, C., Yeomans, J.M., and Markland, R.E. (1995). Time-based competition in the furniture industry: An empirical study, Production and Inventory Management Journal, 36(4), 14-21.
91.Vickery, S.K., Jayaram, J., Droge, C., and Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships, Journal of Operations Management, 21(5), 523-539.
92.Vijayasarathy, L.R. (2010). Supply integration: An investigation of its multi-dimensionality and relational antecedents, International Journal of Production Economics, 124(2), 489-505.
93.Wade, M., and Hulland, J. (2004). Review: The resource-based view and information systems research: Review, extension, and suggestions for future research, MIS Quarterly, 28(1), 107-142.
94.Wagner, S.M. (2003). Intensity and managerial scope of supplier integration, Journal of Supply Chain Management, 39(4), 4–15.
95.Wang, C.L. (2007). Guanxi vs. relationship marketing: Exploring underlying differences, Industrial Marketing Management, 36(1), 81-86.
96.Wang, E.T. G., and Wei, H.L. (2007). Interorganizational governance value creation: Coordinating for information visibility and flexibility in supply chains, Decision Sciences, 38(4), 647-674.
97.Wathne, K.H., and Heide, J.B. (2000). Opportunism in interfirm relationships: forms, outcomes and solutions, Journal of Marketing, 64(4), 36-51.
98.Wei, H.L., and Wang, E.T.G. (2010). The strategic value of supply chain visibility: increasing the ability to reconfigure, European Journal of Information Systems, 19(2), 238–249.
99.William, T.R. Jr., and Diana, C.R. (2007). Compound relationships between firms, Journal of Marketing, 71(3), 108-123.
100.Williams, L.J., Edwards, J.R., and Vandenberg, R.J. (2003). Recent advances in causal modeling methods for organizational and management research, Journal of Management, 29(6), 903-936.
101.Wu, F., Yeniyurt, S., Kim, D., and Cavusgil, S.T. (2006). The impact of information technology on supply chain capabilities and firm performance : A resource- based view, Industrial Marketing Management, 35(4), 493-504.
102.Zhang, C., and Dhaliwal, J. (2009). An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management, International Journal of Production Economics, 20(1), 252-269
指導教授 陳炫碩(Shiuann-Shuoh Chen) 審核日期 2012-1-17
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明