Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Decision support system framework for performance based evaluation and ranking system of carry and forward agents

Decision support system framework for performance based evaluation and ranking system of carry... Purpose – The purpose of this paper is to present a research model that explore strategic outsourcing practices for sustainable competitive advantages. In this paper, a decision support system (DSS) for sustainable performance measurement of carry and forward agents (CFAs) is proposed. Design/methodology/approach – The importance of seven criteria as a means of selecting the best CFA for warehouses under the aspect of sustainable environment is analyzed. The criteria are compared and ranked using analytic hierarchy process (AHP) with the combined assistance of literature review and expert opinions. This study makes use of unstructured interviews of Regional Distribution Manager and senior strategic leaders of the firms. Findings – This paper discusses how strategic outsourcing can help firm to achieve desired business outcomes. The selection of best CFA gives a direction to the company to move toward excellence and provides the key areas to work upon to achieve competitive advantage. The main contribution of this paper includes modeling the performance evaluation problem within the context of a sustainable supply chain based on triple bottom line (TBL) concept. Research limitations/implications – The identified selection criteria are bound with Indian transportation and logistics industry. Further, it is suggested to conduct a real-life application of this study to other companies from different countries, to obtain criteria based on globally acceptable norms. The results may yield the network-specific evaluation criteria and their evaluations. Practical implications – The developed excel-based tool could be used to record the inspection data, compare the CFAs and determine the best CFAs on the basis of selected criteria. With the help of this tool, CFAs know their position and ranking among all the CFAs and the focus areas they need to work upon to perform well. The training module could be used to keep the CFA staff on the right track which is very essential in a typical manufacturing industry warehouse. The improved performance of CFAs will in turn help to improve the manufacturing process, thus maximizing the gains along with environmental benefits. Originality/value – This paper provides a priority of sustainable issues for evaluating the performance of the best CFA. The paper presents a strategic outsourcing model, which suggest both theoretical and managerial implications showing how to implement successful outsourcing practices in the global market by analyzing the performance of outsourcing partners, i.e. CFAs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Strategic Outsourcing: An International Journal Emerald Publishing

Decision support system framework for performance based evaluation and ranking system of carry and forward agents

Download PDF
30 pages

Loading next page...
 
/lp/emerald-publishing/decision-support-system-framework-for-performance-based-evaluation-and-91OZTcoZNw
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1753-8297
DOI
10.1108/SO-02-2015-0008
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to present a research model that explore strategic outsourcing practices for sustainable competitive advantages. In this paper, a decision support system (DSS) for sustainable performance measurement of carry and forward agents (CFAs) is proposed. Design/methodology/approach – The importance of seven criteria as a means of selecting the best CFA for warehouses under the aspect of sustainable environment is analyzed. The criteria are compared and ranked using analytic hierarchy process (AHP) with the combined assistance of literature review and expert opinions. This study makes use of unstructured interviews of Regional Distribution Manager and senior strategic leaders of the firms. Findings – This paper discusses how strategic outsourcing can help firm to achieve desired business outcomes. The selection of best CFA gives a direction to the company to move toward excellence and provides the key areas to work upon to achieve competitive advantage. The main contribution of this paper includes modeling the performance evaluation problem within the context of a sustainable supply chain based on triple bottom line (TBL) concept. Research limitations/implications – The identified selection criteria are bound with Indian transportation and logistics industry. Further, it is suggested to conduct a real-life application of this study to other companies from different countries, to obtain criteria based on globally acceptable norms. The results may yield the network-specific evaluation criteria and their evaluations. Practical implications – The developed excel-based tool could be used to record the inspection data, compare the CFAs and determine the best CFAs on the basis of selected criteria. With the help of this tool, CFAs know their position and ranking among all the CFAs and the focus areas they need to work upon to perform well. The training module could be used to keep the CFA staff on the right track which is very essential in a typical manufacturing industry warehouse. The improved performance of CFAs will in turn help to improve the manufacturing process, thus maximizing the gains along with environmental benefits. Originality/value – This paper provides a priority of sustainable issues for evaluating the performance of the best CFA. The paper presents a strategic outsourcing model, which suggest both theoretical and managerial implications showing how to implement successful outsourcing practices in the global market by analyzing the performance of outsourcing partners, i.e. CFAs.

Journal

Strategic Outsourcing: An International Journal – Emerald Publishing

Published: Feb 16, 2015

There are no references for this article.