Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/35268
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dc.contributor.advisor張欣綠zh_TW
dc.contributor.advisorChang,Hsin-Luen_US
dc.contributor.author宣家瑩zh_TW
dc.contributor.authorHsuan,Chia-Yingen_US
dc.creator宣家瑩zh_TW
dc.creatorHsuan,Chia-Yingen_US
dc.date2004en_US
dc.date.accessioned2009-09-18T06:35:51Z-
dc.date.available2009-09-18T06:35:51Z-
dc.date.issued2009-09-18T06:35:51Z-
dc.identifierG0923560041en_US
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/35268-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description資訊管理研究所zh_TW
dc.description92356004zh_TW
dc.description93zh_TW
dc.description.abstractBecause the business environment has changed (e.g., volatility in demand, curtailment of product life cycle, changing of information technology, and so forth), corporate supply chains become more network-connected and involve more business partners. Whether the company has the capability to operate well in such supply chain network becomes a significant issue. To fulfill this need, this research aims to develop a framework for measuring the supply chain capability. The literature review and company interviews allow us to propose four capabilities and relative measurements. A field survey is then conducted in the Taiwan PC industry to assess the measurements. To ensure the measurements are valid, we apply two-step measurement assessments: the factor analysis and initial reliability are first conducted and then followed by item-total correlation, optimal reliability coefficients, convergent validity, and discriminant validity. The resulting model is an 18-item and three-dimension construct. The three dimensions are: (1) reducing transaction related risk, (2) promoting good relationship, and (3) managing environment change. The confirmatory factor analysis then suggests us to arrange the three dimensions in two groups. The first group includes the first dimension, indicating the firm capability, and the second group includes the other two, expressing the inter-firm capability. We further explore the relationships between the supply chain capabilities and IOS adoption, as well as supply chain roles. It is interestingly to note that different IOS requires different capability and so does different supply chain roles. Therefore, the contribution of this research can be two-folded: first, the managers can use this reference framework to diagnose the supply chain capability of their own firms, finding their strength and weakness. Second, managers can use the framework to evaluate the capability of their partners and better gauge the characteristics of the supply chain collaboration. This research can also contribute to the IT literature as the researchers can build upon this model to further examine of the factors that are discovered.en_US
dc.description.tableofcontents1. Introduction 1\n1.1 Research Motivations 1\n1.2 Research Objectives 2\n1.3 Research Questions 2\n1.4 Research Arrangement 2\n2. Literature Review 3\n2.1 Problems in Supply Chain Management 3\n2.2 Value Challenges in Supply Chain Management 5\n2.3 Corporate Capabilities to Handle the Limits 6\n3. Development of the Supply Chain Capability Construct 10\n3.1 Domain of the Supply Chain Capability Construct 10\n3.2 Content Analysis of the Supply Chain Capability Construct 11\n4. Research Methodology 15\n4.1 Operationalization of the supply chain capability construct 15\n4.2 Pilot Test 17\n4.3 Data Collection 17\n5. Empirical Assessment of Construct Measurement 19\n5.1 Initial Measurement Assessment 20\n5.1.1 Factor Analysis 20\n5.1.2 Reliability 22\n5.2 Further Measurement Assessment 24\n5.2.1 Item-Total Correlation 24\n5.2.2 Optimal Reliability Coefficients 25\n5.2.3 Convergent Validity 26\n5.2.4 Discriminant Validity 27\n5.2.5 Reliability for Final Model 28\n5.3 Evaluating a Covariation Model of Supply Chain Capability 31\n6. Discussion 35\n6.1 Discussion of Supply Chain Capability Construct 35\n6.1.1 Items of the Construct 35\n6.1.2 Structure of the Construct 36\n6.2 Managerial Implications 37\n6.2.1 The Impact on IOS Adoption 37\n6.2.2 The Impact of Supply Chain Role 38\n7. Conclusion 40\n7.1 Summary 40\n7.2 Limitations and Implications of Future Research 40\nReferences 42\nAppendix A-1: Complete Questionnaire for the Supply Chain Capability Survey (English Version) 45\nAppendix A-2: Complete Questionnaire for the Supply Chain Capability Survey (Chinese Version) 49\nAppendix B: Correlation Matrix of Supply Chain Capability Measures 53zh_TW
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dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0923560041en_US
dc.subjectSupply chain capabilityen_US
dc.subjectInterorganizational systemsen_US
dc.subjectInformation technologyen_US
dc.subjectSupply chain managementen_US
dc.titleDeveloping a Reference Framework for Measuring the Supply Chain Capabilityzh_TW
dc.typethesisen
dc.relation.referenceAngeles, R., and Nath, R., “An Empirical Study of EDI Trading Partner Selection Criteria in Customer-Supplier Relationships,” Information and Management, 37, 5, 2000, pp. 241-255.zh_TW
dc.relation.referenceBagozzi, R. P., and Fornell, C., “Theoretical Concepts, Measurements, and Meaning,” in C. Fornell, A Second Generation of Multivariate Analysis, 2, Praeger, 1982, pp. 24-38.zh_TW
dc.relation.referenceBakos, J. Y., “Information Links and Electronic Marketplaces,” Journal of Management Information Systems, 8, 2, Fall 1991, pp. 31-52.zh_TW
dc.relation.referenceBensaou, M., “Interorganizational Cooperation: The Role of Information Technology, An Empirical Comparison of U.S. and Japanese Supplier Relations,” Information Systems Research, 8, 2, June 1997, pp. 107-123.zh_TW
dc.relation.referenceBensaou, M., and Venkatraman, N., “Configurations of Interorganizational Relationship: A Comparison between U.S. and Japanese Automakers,” Management Science, 41, 9, September 1995, pp. 1471-1492.zh_TW
dc.relation.referenceByrd, T. A., and Turner, D. E., “Measuring the Flexibility of Information Technology Infrastructure: Exploratory Analysis of a Construct,” Journal of Management Information Systems, 17, 1, 2000, pp. 167-208.zh_TW
dc.relation.referenceChopra, S., and Sodhi, M. S., “Management Risk to Avoid the Supply-Chain Breakdown,” MIT Sloan Management Review, 46, 1, Fall 2004, pp. 53-61.zh_TW
dc.relation.referenceChurchill, G. A., “A Paradigm for Developing Better Measures of Marketing Constructs,” Journal of Marketing Research, 16, 1, February 1979, pp. 64-73.zh_TW
dc.relation.referenceClemons, E., and Row, M., “Information Technology and Industrial Cooperation: The Changing Economics of Coordination and Ownership,” Journal of Management Information Systems, 9, 2, Fall 1992, pp. 9-28.zh_TW
dc.relation.referenceClemons, E., and Row, M., “Limits to Interfirm Coordination through Information Technology: Results of a Field Study in Consumer Packaged Good Distribution,” Journal of Management Information Systems, 10, 1, 1993, pp. 73-95.zh_TW
dc.relation.referenceCooper, R. B., “Information Technology Development Creativity: A Case Study of Attempted Radical Change,” MIS Quarterly, 24, 2, June 2000, pp. 245-276.zh_TW
dc.relation.referenceCraighead, C. W., and Shaw, N. G., “E-Commerce Value Creation and Destruction: A Resource-Based, Supply Chain Perspective,” Database for Advances in Information Systems, 34, 2, Spring 2003, pp. 39-49.zh_TW
dc.relation.referenceDiIorio, F. C., “SAS Applications Programming: A Gentle Introduction,” Boston: PWS-KENT, 1991.zh_TW
dc.relation.referenceDunn, G., Everitt, B., and Pickles, A., “Modelling Covariances and Latent Variables using EQS (1st ed.),” London/Champan & Hall/New York, 1993.zh_TW
dc.relation.referenceDwyer, F. R., Scurr, P. H., and Oh, S., “Developing Buyer-Seller Relationships,” Journal of Marketing, 51, 2, April 1987, pp. 11-27.zh_TW
dc.relation.referenceDyer, J. H., and Singh, H., “The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage,” Academy of Management Review, 23, 4, October 1998, pp. 660-679.zh_TW
dc.relation.referenceFuller, M. K., and Swanson, E. B., “Information Centers as Organizational Innovation: Exploring the Correlates of Implementation Success,” Journal of Management Information Systems, 9, 1, Summer 1992, pp. 47-68.zh_TW
dc.relation.referenceHair, Jr. J. F., Anderson, R. E., Tatham, R. L., and Black, W. C., “Multivariate Data Analysis (5th ed.),” Upper Saddle River, N.J.: Prentice Hall, 1998.zh_TW
dc.relation.referenceHart, P. J., and Saunders, C. S., “Emerging Electronic Partnerships: Antecedents and Dimensions of EDI Use from the Supplier’s Perspective,” Journal of Management Information Systems, 14, 4, 1998, pp. 87-111.zh_TW
dc.relation.referenceIskandar, B., Kurokawa, S., and Leblanc, L., “Adoption of Electronic Data Interchange: The Role of Buyer-Supplier Relationships,” IEEE Transactions on Engineering Management, 48, 4, November 2001, pp. 505-517.zh_TW
dc.relation.referenceKonsynski, B. R., and Mcfarlan, F. W., “Information Partnership – Shared Data, Shared Scale,” Harvard Business Review, 68, 5, September/October 1999, pp. 114-120.zh_TW
dc.relation.referenceKumar, K., and van Dissel, H. G., “Sustainable Collaboration: Managing Conflict and Cooperation in Interorganizational Systems,” MIS Quarterly, 20, 3, September 1996, pp. 279-300.zh_TW
dc.relation.referenceLee, H. L., and Billington, C., “The Evolution of Supply Chain Management Models and Practice at Hewlett-Packard,” Interfaces, 25, 5, Sep/Oct 1995, pp. 42-63.zh_TW
dc.relation.referenceLewis, B. R., and Byrd, T. A., “Development of a Measure for the Information Technology Infrastructure Construct,” European Journal of Information Systems, 12, 2, 2003, pp. 93-109.zh_TW
dc.relation.referenceLewis, J. D., and Weigert, A., “Trust as a Social Reality,” Social Forces, 63, 1985, pp. 967-985.zh_TW
dc.relation.referenceMahmood, M. A., and Soon, S. K., “A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables,” Decision Sciences, 22, 4, Sep/Oct 1991, pp. 869-897.zh_TW
dc.relation.referenceRiggins, F. J., Kriebel, C. H., and Mukhopadhyah, T., “The Growth of Interorganizational Systems in the Presence of Network Externalities,” Management Science, 40, 8, August 1994, pp. 984-998.zh_TW
dc.relation.referenceRiggins, F. J., and Mukhopadhyay, T., “Interdependent Benefits from Interorganizational Systems: Opportunities for Business Partner Reengineering,” Journal of Management Information Systems, 11, 2, 1994, pp. 37-57.zh_TW
dc.relation.referenceSAS Institute, “SAS/STAT Software: Changes and Enhancements, through Release 6.11,” Cary, N.C.: SAS Institute, 1996.zh_TW
dc.relation.referenceScupola, A., “Adoption Issues of Business-to-Business Internet Commerce in European SMEs,” Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS), January 7-10, 2002, Hilton Waikoloa Village Island, Hawaii.zh_TW
dc.relation.referenceSegars, A. H., and Grover, V., “Strategic Information Systems Planning Success: An Investigation of the Construct and Its Measurement,” MIS Quarterly, 22, 2, June 1998, pp. 139-163.zh_TW
dc.relation.referenceSeithi, V., and Carraher, S., “Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon’s Paper,” Decision Sciences, 24, 4, Jul/Aug 1993, pp. 867-877.zh_TW
dc.relation.referenceSethi, V., and King, W. R., “Development of Measures to Assess the Extent to Which an Information Technology Application Providers Competitive Advantage,” Management Science, 40, 12, December 1994, pp. 1601-1627.zh_TW
dc.relation.referenceSoliman, K. S., and Janz, B. D., “An Exploratory Study to Identify the Critical Factors Affecting the Decision to Establish Internet-based Interorganizational Information Systems,” Information and Management, 41, 6, 2004, pp. 697-706.zh_TW
dc.relation.referenceSupply Chain Council, “Supply Chain Operations Reference-model: Overview of SCOR Version 5.0,” 2000, from http://www.supply-chain.org/slides/SCOR5.0OverviewBooklet.pdfzh_TW
dc.relation.referenceWang, E., and Seidmann, A., “Electronic Data Interchange: Competitive Externalities and Strategic Implementation Policies,” Management Science, 41, 3, March 1995, pp. 401-418.zh_TW
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