Supply Chain and Network Performance: Metrics for Profitability, Productivity and Efficiency

Research output: Contribution to journalArticlepeer-review

Abstract

The architecture of the firm involves determination of a boundary that encompasses the functions managed by the firm. The past decade has seen substantial reorganization of firms where vertical or horizontal integration has been unbundled into weaker forms of collaborations including value chains and networks. This observation has forced a re-conceptualization of the boundaries of the firm to incorporate such collaborations. These collaborations are virtual and highly dynamic. They emerge and persist when two conditions are met. First, they must enable generation of greater value than might be attained through independent operation and anonymous transactions through markets. Second, the resulting growth must be shared with members in a way that retains their participation. Each of these conditions can be verified only if performance of the collaboration can be established. This paper recognizes the need for “metrics of performance” that are by necessity operationally feasible to measure. While conceptual approaches have been studied in the management literature, this paper considers from theoretic perspectives these issues and derives measures of the performance of the overall collaboration as well as of the participating enterprises. The paper presents a framework that can be applied to both vertical and horizontal collaborations as found in supply chains and networks. The paper offers suggestions on empirical methods for estimation of measures derived.

Original languageEnglish (US)
Pages (from-to)56-68
Number of pages13
JournalInternational Journal on Food System Dynamics
Volume1
Issue number1
DOIs
StatePublished - 2010

All Science Journal Classification (ASJC) codes

  • Food Science
  • Business and International Management
  • Geography, Planning and Development
  • Environmental Science (miscellaneous)
  • Transportation
  • Economics, Econometrics and Finance (miscellaneous)
  • Management Science and Operations Research

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