Author:
Porterfield Tobin E.,Bailey Joseph P.,Evers Philip T.
Abstract
PurposeThe purpose of this study is to evaluate the performance effects of information exchange by observing actual information exchange between industrial trading partners. Information exchange facilitates coordination through sharing both order cycle and enhanced information. Increased exchange may lead to closer relationships with the expectation of improved performance. This study moves away from perceived measures of information exchange and firm performance by integrating two datasets: one capturing historical firm performance and the second capturing electronic information exchange data.Design/methodology/approachQuantitative data of electronic information exchange between firms are observed and compared with operational performance results. Longitudinal regression analyses are conducted using data gathered from an electronically‐mediated industrial exchange network. This unique dataset provides distinct insights into the application and performance outcomes related to information exchange.FindingsResults show that information characteristics vary by firm and the position of the firm within the supply chain. Manufacturers benefit from exchanging more basic information and from stability in their trading partner portfolio. Retailers enhance performance when there is more turnover in their trading partner portfolio and when information is exchanged reciprocally with suppliers.Practical implicationsResults from this study provide insight into the potential performance outcomes of sharing information within industrial relationships. The study demonstrates how greater information exchange changes the nature of supply chain relationships. Closer supply chain relationships may improve firm performance, but the extent of this varies based on the firm's position within its supply chain. Consequently, firms should consider the strategic implications of the way in which they exchange information with their trading partners.Originality/valueThis study contributes to the literature by identifying and testing specific information characteristics using actual observed exchanges of information between firms. The data set supports the measurement of information exchange between multiple firms and trading partners which allows for testing at a level of granularity beyond existing studies.
Subject
Management of Technology and Innovation,Transportation
Reference64 articles.
1. Allen, B.J., Crum, M.R. and Brauschweig, C.D. (1992), “The US motor carrier industry: the extent and nature of EDI use”, International Journal of Physical Distribution & Logistics Management, Vol. 22 No. 8, pp. 27‐34.
2. Anderson, J.C. and Narus, J.A. (1990), “A model of distributor firm and manufacturer firm working partnerships”, Journal of Marketing, Vol. 54, pp. 42‐58.
3. Angulo, A., Nachtmann, H. and Waller, M.A. (2004), “Supply chain information sharing in a vendor managed inventory partnership”, Journal of Business Logistics, Vol. 25 No. 1, pp. 101‐20.
4. Barry, B. and Crant, J.M. (2000), “Dyadic communication relationships in organizations: an attribution/expectancy approach”, Organization Science, Vol. 11 No. 6, pp. 648‐64.
5. Bowersox, D.J. and Daugherty, P.J. (1987), “Emerging patterns of logistical organizations”, Journal of Business Logistics, Vol. 8 No. 1, pp. 65‐80.
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献