A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks

Jamal El-Den, Ali Baydoun

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Abstract

Knowledge management adoption in the supply chain (SC) is at its infancy and related scholarly research is relatively scarce. The main difficulties are in figuring out how to combine knowledge management concepts with the SC development process, to improve the overall steps, performance and productivity of the SC. The purpose of this paper is to test and analyse the existing knowledge based SCs frameworks in the literature (including manufacturing, service and software SCs), and verify how they integrate with the knowledge management concepts, taking into consideration some parameters including lessons learned, etc. which we believe, hinder such knowledge process in the existing frameworks. To come up with the proposed framework, we conducted an extensive research on the existing frameworks to identify how they handle and transfer knowledge during the development process of the SC and how they integrate the knowledge management concepts with their frameworks. Few SC frameworks were tested to figure out their efficiency and effectiveness. Finally, after detailed comparative analysis and testing, the research suggests that the proposed framework adds value to existing research and could be adopted by SC participants as a
useful knowledge based framework which could increase the SC overall speed, performance and productivity. The proposed framework consists of parameters which should be introduced for more effective SSSC operations, while the absence of major parameters (identified in this paper) makes a framework less efficient.
Original languageEnglish
Pages (from-to)205-215
Number of pages11
JournalProcedia Computer Science
Volume124
Issue number2017
DOIs
Publication statusPublished - 2017
Event4th Information Systems International Conference 2017 - Bali, Indonesia, Bali, Indonesia
Duration: 6 Nov 20178 Nov 2017

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Supply chains
Knowledge management
Productivity
Testing

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title = "A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks",
abstract = "Knowledge management adoption in the supply chain (SC) is at its infancy and related scholarly research is relatively scarce. The main difficulties are in figuring out how to combine knowledge management concepts with the SC development process, to improve the overall steps, performance and productivity of the SC. The purpose of this paper is to test and analyse the existing knowledge based SCs frameworks in the literature (including manufacturing, service and software SCs), and verify how they integrate with the knowledge management concepts, taking into consideration some parameters including lessons learned, etc. which we believe, hinder such knowledge process in the existing frameworks. To come up with the proposed framework, we conducted an extensive research on the existing frameworks to identify how they handle and transfer knowledge during the development process of the SC and how they integrate the knowledge management concepts with their frameworks. Few SC frameworks were tested to figure out their efficiency and effectiveness. Finally, after detailed comparative analysis and testing, the research suggests that the proposed framework adds value to existing research and could be adopted by SC participants as auseful knowledge based framework which could increase the SC overall speed, performance and productivity. The proposed framework consists of parameters which should be introduced for more effective SSSC operations, while the absence of major parameters (identified in this paper) makes a framework less efficient.",
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A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks. / El-Den, Jamal; Baydoun, Ali.

In: Procedia Computer Science, Vol. 124, No. 2017, 2017, p. 205-215.

Research output: Contribution to journalConference articleResearchpeer-review

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