DIFFUSION OF SUPPLY CHAIN TECHNOLOGIES

Kirk A. Patterson · Curtis M. Grimm · T M Corsi

66 citations0/0 files storedTransportation Journal

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Quality and Supply Management Supply Chain and Inventory Management ERP Systems Implementation and Impact

Abstract

With the growth of new technologies to aid in supply chain management, including computer-aided design, computer-aided manufacturing and electronic data interchange, it has been estimated that 40 percent of new capital equipment investment in the U.S. goes to this kind of device. This study attempts to determine, through more than 100 pilot interviews, the diffusion of new technologies and begin to assess their effect on supply chain management, primarily in the U.S. The technologies to be studied were selected based on their being concerned with information exchange within and between organizations and managing supply-chain-related data and activities. The study expands the scope of technology adopted to include a variety of inter- and intra-organizational technologies and software applications. This research uses survey data to identify the types of technologies that firms have adopted. The study also attempts to determine managers' perceptions of the impact of new technologies on integration between organizations. Describes survey methods and shows tables with data describing types and extent of technologies adopted. Also provides measures of supply chain improvements using a number of metrics. One of the most obvious advantages reported is the speeding of information exchange with partners to better control inventory throughout the supply chain, but firms have not yet widely adopted technologies that extend these capabilities through the entire supply chain. Results also suggest that high adoption rates do not translate directly into equivalent gains in efficiencies, which respondents blame on system marketers selling them technologies that are more complex than they need or that are too difficult to implement. Many others, however, reported high levels of satisfaction with their investments. More research is needed about specific technologies and instances where new technologies have created barriers to adoption.

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References

1992Information Systems Success: The Quest for the Dependent Variable 1991Assessing Construct Validity in Organizational Research 1991ORGANIZATIONAL INNOVATION: A META-ANALYSIS OF EFFECTS OF DETERMINANTS AND MODERATORS.1998Supply Chain Management: Implementation Issues and Research Opportunities 2000Supply Chain Inventory Management and the Value of Shared Information 2000Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information 1996Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value1,2 2000Information sharing in a supply chain

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2012Supply chain innovation diffusion: going beyond adoption 2007The impact of timely information on organisational performance in a supply chain 2018Material intelligence as a driver for value creation in IoT-enabled business ecosystems 2009Supply chain technology adoption in Malaysian automotive suppliers 2019The impact of IT application on supply chain learning and service performance

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