Since the prevalence of measuring supply chain performance, information technology that supports the process of the supply chain and supply chain practices have created a great deal of attention. Many companies have invest a lot on supporting technologies to improve supply chain performance and spend a lot of time trying to figure out what supply chain practices is fit for a certain industry. However, looking to a different perspective, measuring user attitude in utilizing the SCM system to improve SCM performance is yet to be developed.
This study attempted to add to the body of literature that has focused on how user attitude towards system use, information sharing, and information quality affects SCM delivery performance. We looked at the relationship between the usefulness and ease of use of a system and its influence on user attitude, and also the relationship of environmental uncertainties with three different attributes (customer uncertainty, supplier uncertainty and technology uncertainty) and its influence on information sharing, and information quality.
The Results were based on data collected from 103 respondents (Operations Department Director, Plant Managers, Project leaders, and Engineers) who are working on a manufacturing company in Taiwan. Empirical findings using multiple regression indicates that System Ease of use and System Usefulness tend to significantly impact on the User Attitude toward System Use, which eventually influence Delivery Performance. Furthermore, Environmental Uncertainty does affect Information Quality but found no relevant result that direct us to the conclusion of Environmental Uncertainty affect the sharing of information between chain partners.

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.
Ahmad, S., & Schroeder, R. (2001). The impact of electronic data interchange on delivery performace. Production and Operations Management, 10(1), 16-30.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Porcess, 50, 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
Akkermans, H. A., Bogerd, P., Yucesan, E., & Van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: exploratory findings from a european delphi study. European Journal of Operational Research, 146, 284-301.
Alvarez, D. (1994). Solving the puzzle of industry's rubic cube-effective supply chain management. Logistics Focus, 2(4), 2-4.
Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information and Management, 41(6), 731-745.
Auram, J., Inkilainen, A., Kauremaa, J., Kemppainen, K., Karkkainen, M., Laukkanen, S., et al. (2005). Benefits of IT in supply chian management: An exploratice study of progressive companies. International Journal of Physical Distribution & Logistics Management, 35(2), 82-100.
Ballou, R. H., Gillbert, S. M., & Mukherjee, A. (2000). New managerial challenge from supply chain opportunities. Industrial Marketing Management, 29, 7-18.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.
Bourland, K., Stephen, P., & Pyke, D. (1996). Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92(2), 239-253.
Bowen, W. (1989). "The puny payoff from office computers", in T. Foster (Ed.) Computers in the human context: Information technology, productivity and people, 267-271.
Brosnan, M. (1998). Technophobia: the psychological impact of information. London: Routledge.
Bueno, S., & Salmeron, J. L. (2008). TAM-based success modeling in ERP. Interacting with Computers, 20(6), 515-523.
Burgess, R. (1998). Avoiding supply chain managment failure: lessons from business process re-engineering. International Journal of Logistics Management, 9(1), 15-23.
Calisir, F. (2004). The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning(ERP) system. Computer human behaviour, 20(4), 505-515.
Castaneda, J. A. (2007). Web acceptance model (WAM): moderating effects of user experience. Information and Management, 44(4), 384-396.
Chandra, C., & Kumar, S. (2000). Supply chain management in theory and practice: a passing fad or a fundamental change. Industrial Management and Data Systems, 100(3), 100-113.
Chang, M. K., & Cheung, W. (2001). Determinants of the intention to use internet at work: a confirmatory study. Information and Management, 39(1), 1-14.
Chen, F. (2002). Information sharing and Supply Chain Coordination. Unpublished Working Paper, Columbia University, New York.
Chen, S. H. (2002). Global production networks and information technology: the case of taiwan. Industry and Innocation, 9(3), 249-265.
Cheng, J. M. S. (2006). Consumers acceptance of the internet as a channel of distribution in Taiwan: A channel function perspective. Technovision, 26(7), 856-864.
Childhouse, P., & Towill, D. R. (2003). Simplified material flow holds the key to supply chian integration. OMEGA, 31(1), 17-27.
Chimera, R., & Shneiderman, B. (1993). User interface consistency: an evaluation of original and revised interface for a videodisk library. Norwood, NJ: Ablex.
Chizzo, S. A. (1998). Supply chain strategies: solutions for the customer driven enterprise. Software Maganzine. Supply chain Management Direction Supplement, 4-9.
Coffin, A., Gale, M., & Harris, T. (2000). Conitive, Motivation and Affective Processes Associated with Computer Related Performance: A path analysis. Computers in Human Behavior, 16(2), 199-222.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: development of a measre and intioal test. MIS Quarterly, 19(2), 189-211.
Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F., Bagozzi, R., & Warchaw, P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(3), 318-339.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information system success: A ten year update. Journal of Management Information Systems, 19(4), 9-30.
Durbdell, A., & Haag, Z. (2002). Computer self efficacy, computer anxiety attitude towards the internet and reported experience with the iternet, by gender, in an east european sample. Computer in Human Behavior, 18(5), 521-535.
Ettlie, J., & Reza, E. (1992). Organization integration and process innovation. Academy of Management Journal, 35(4), 795-827.
Evans, G. N., Naim, M. M., & Reza, E. (1992). Organization integration and process innovation. Academy of Management Journal, 35(4), 795-827.
Fiala, P. (2005). Information Sharing in supply chains. Omega, The International Journal of Management Science, 33(5), 419-423.
Galbraith, J. R. (1974). Organization Design: An Introduction Processing View. Retrieved June 10, 2009: http://faculty. babson.edu/ krollag/ org_site/ org_theory /Scott_article/galbraith_orgdes.html
Goodwin, N. C. (1987). Functionality and Usability. Communication of the ACM, 30(3), 229-233.
Grover, V. (1993). An empirical derived model for the adoption of customer-based inter-organization systems. Decision Sciences, 24(3), 603-639.
Gunasekaran, A., & Ngai, E. W. T. (2004). Information systems in supply chain integration. European Journal of Operational Research, 159(2), 269-295.
Gupta, A., & Wilemon, D. (1990). An empirical derived model for the adoption of customer-based new product. California Management Review, 32(2), 24-44.
Gurin, R. (2000). Online system to streamline Ford's delivery process. Frontline Soulitions, 1, 1-3.
Hair, J. F., Aderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivirate data analysis. Upper, Saddle River, NJ: Prentice Hall.
Hartwick, J., & Barki, H. (1994). Explaing the role of user participation in information system use. Management Science, 40(4), 440-465.
Hill, T., Smith, N., & Mann, M. (1987). Role of efficacy expextations in predicting the decision to use advanced technologies: A cas of computers. Journal of Applied Psychology, 72(2), 307-318.
Igbaria, M., & Livaria, J. (1995). The effect of self-efficacy on computer usage. Omega, The International Journal of Management Science, 23(6), 587-605.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factor in small firms: a structural equation model. Management Information System Research Center, 12(3), 279-305.
Jarrell, J. L. (1998). Supply chain economics. World Trade 11, 59-61.
Jharkharia, S., & Shankar, R. (2005). IT-enablement of supply chains: understanding the barriers. The Journal of Enterprise Information Management, 18(1), 11-27.
Karsten, R., & Roth, R. (1998). The relationship of computer experience and computer self-efficacy to performance in introductory computer literacy course. Journal of Research on Computing in Education, 31, 14-25.
Kearns, G. S., & Lederer, A. L. (2003). A resource-based view of strategic IT alignment: How knowledge sharing creates competitive advantage. Decision Science, 34(1), 1-29.
Khan, B., Strong, D., & Wang, R. (2002). Information quality benchmarking: product and service perforamce. Communication of the ACM, 45(4), 184-192.
Klein, K. J., & Sorra, J. S. (1996). The challenge of innovation and implementation. Journal of The Academic of Management Review, 21(4), 155-180.
Kovac, R., Lee, Y., & Pipino, L. (1997). Total data quality management: the case of IRI. Paper presented at the Proceedings of the 1997 Conference on Information Quality.
Krause, D., Handfield, R., & Scannel, T. (1998). An empirical investigation of supplier development: reactive and strategic process. Journal of Operations Management, 17(1), 39-58.
La Londe, B. J., & Masters, J. M. (1994). Emerging logistics strategies: Blueprints of the next century. International Journal of Physical Distribution and Logistics Management, 24(7), 35-47.
Lambe, C. J., & Speakman, R. E. (1997). Alliances, external technology acquisition and discontinuous technological change. Journal of Product Innovation Management, 14(2), 102-116.
Lee, H., Padmanabhan, P., & Whang, S. (1997). Information in a supply chain: The bullwhip effect. Management Science, 43(4), 546-558.
Lee, H., So, K., & Tang, C. (1996). Supply Chain re-engineering through information sharing and replenishment coordination. Department of Industrial Enigineering Stanford University.
Leem, Y., Strong, D., Khan, B., & Wang, R. (2001). AIMQ: a methodology for information quality assesment. Information and Management, 40(2), 133-146.
Lenz, R. T. (1980). Environmental, strategy, organization structure and performance: Patterns in one industry. Strategic Management Journal, 1(3), 209-226.
Li, S., & Lin, B. (2006). Accessing information sharing and information quality in supply chain management. Decision Support Systems, 42(3), 1641-1656.
Liker, J., & Yu, Y. (2000). Japanese automakers, U.S. suppier and supply chian superiority. Sloan Management Review, 42, 81-93.
Marakas, G. M., Mun, Y. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: toward clarification of the construct and an integrative framework for reasearch. Information Systems Research, 9(2), 126-163.
Mason-Jones, R., & Towill, D. R. (1997). Information enrichment: design the supply chain for competitive advantage. Supply Chain Management 2(4), 137-148.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned bahavior. Information Systems Research, 2(3), 173-191.
McCormack, K. (1998). What supply chain management practice relate to superior performace? DRK Research Team.
McGowan, A. (1998). Perceived benefits of ABCM implementation. Accounting Horizon, 12(1), 31-50.
Mentzer, J. T., Min, S., & Zacharia, Z. G. (2000). The nature of interfirm partnership is supply chain management. Journal of Retailing, 76(4), 549-568.
Michaels, G. (2006). Technology complexity and information: The evolution of demand for office workers. MIT, Cambridge, MA.
Miura, I. (1987). The Relationship of Computer Self-efficacy Expectation to Computer Interest and COurse Enrollment in College. Sex Roles, 16(5), 6.
Monezka, R. M., Peterson, K. J., Handfield, R., & Ragatz, G. L. (1998). Success factors in strategic supplier alliances: the buying company perspective. Decision Science, 29(3), 5553-5577.
Moore, G. C., & Benbasat, I. (1996). Integrating diffusion of innovation and theory of reasoned action models to predict utilization of information technology by end-user. London: Chapman and Hall.
Nguyen, T. D., & Barrett, N. J. (2006). The adoption of the internet by export firms in transitional market. Asia Pacific Journal of Marketing and Logistics, 18(1), 29-42.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Perrow, C. (1994). Accidents in High-Risk Systems. Technology Studies, 1(1), 1-20.
Petersen, K. (1999). The effect of Information Quality on supplyc chain performance: An inter organization information system perspective.
Potter, R. L., Weldon, B., & Shneiderman, B. (1988). Improving the accurary of touchscreens: an experimental evaluation of three strategies. Paper presented at the Proceedings of the Conference on Human Factors in Computing Systems, Washington D.C.
Power, J., Sohal, A., & Rahman, S. (2001). Critical success factors in agile supply chain manhement: an empirical study. International Journal of Physical Distribution & Logistics Management, 31(4), 247-265.
Prasad, S., & Tata, J. (2000). Information investment in supply chain management. Logistics in Information Managment, 13(1), 33-38.
Prümper, J. (1993). Software-evaluation based upon ISO 9241 Part 10. Paper presented at the Human Computer Interaction.
Ramdas, K., & Spekman, R. (2000). Chain or shackles: understanding what drives supply -chain performance. Interface, 30(4), 3-21.
Rogers, E., & Shoemaker, F. (1971). A Cross-Cultural Approach. Free Press.
Saade, G. R., & Galloway, I. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extention of the technology acceptance model. Information and Management, 42(2), 317-327.
Saxenian, A., & Hsu, J. Y. (2001). The silicon valley-hsinchu connection: technical communities and Industrial upgrading. Oxford Journals, 10(2), 893-920.
Stein, T., & Sweat, J. (1998). Killer supply chains. InformationWeek 708.
Sun, C., Yang, K., Ang, J., & Quek, S. (1995). An analysis of material requiremenets planning benefits using alternating conditional expectation. Journal of Operations Management, 13(1), 35-48.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Tattum, L. (1999). Staying at the cutting edge of supply chain practice. Chenical Week 161, 11, 614-631.
Teo, T. (2001). Demoraphics and motivation variables associated with the usage activities. Electronic Networking and Applications and Policy, 15(1), 125-142.
Thomas, D., & Griffin, P. (1996). Coordinating supply chain practice. European Journal of Operational Research, 94(1), 10-12.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 26(1), 28-45.
Van Hoek, R. I. (1999). Postponement and reconfiguration challenge for food supply chain. Supply Chain Management, 4(1), 18-34.
Venkatesh, V., & Davis, F. (2000). A theoretical extention of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Wang, Y. (2003). Determinants of user acceptance of internet banking: An empirical study. International journal of Service Industry Management, 14(5), 501-519.
Ward, P., Leong, G., Duray, R., & Sum, C. (1995). Business environment, operations strategy and performance: an empirical study of singapore manufacturers. Journal of Operations Management, 13(2), 99-115.
Wu, J., Chen, Y. C., & Lin, L. M. (2007). Emperical evalution of the revised end user computing acceptance model. Computers in Human Behavior, 23(1), 162-174.
Yu, Z. H., Yan, H., & Cheng, T. C. E. (2001). Benefits of information sharing with supply chain partnership. Industrial Management and Data Systems, 101(3), 114-119.
Zhou, H., & Benton Jr., W. C. (2005). Supply Chain Practice and Information Sharing. Journal of Operations Management, 25, 1348-1365.
Zhou, H., & Benton Jr., W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365.