From a literature review to a conceptual framework for automation knowledge acquisition in supply chain management

Mohammad Zayed Almuiet, Juhana Salim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In supply chain management, both academic and corporate interest concerning knowledge acquisition has shown an increasing trend in the past few years. This is evidenced by the significant amount of research written and published in journal special issues. In response to this trend, the present study has two objectivesfirst, it offers to provide an overview of literature concerning knowledge types and knowledge acquisition in the context of supply chain management discussed in 47 papers from the years 2001-2013. Second, it develops a conceptual framework that summarizes this field of research into four parts. Initially, knowledge types and AI techniques are highlighted which leads to two specific perspectives: supply chain knowledge and automation of knowledge acquisition for supply chain management. Companies' practitioners and academics may avail of the review as it provides an overview of the fundamental research streams in the area. It then explains certain features of knowledge acquisition in the context of supply chains and the existing research limitations which could lead to future studies.

Original languageEnglish
Pages (from-to)518-530
Number of pages13
JournalResearch Journal of Applied Sciences
Volume9
Issue number8
DOIs
Publication statusPublished - 2014

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Knowledge acquisition
Supply chain management
automation
acquisition
Automation
Supply chains
trends
Industry

Keywords

  • Artificial intelligent techniques
  • Characteristics of knowledge
  • Knowledge acquisition
  • Knowledge types
  • Supply chain knowledge

ASJC Scopus subject areas

  • General
  • Engineering(all)

Cite this

From a literature review to a conceptual framework for automation knowledge acquisition in supply chain management. / Almuiet, Mohammad Zayed; Salim, Juhana.

In: Research Journal of Applied Sciences, Vol. 9, No. 8, 2014, p. 518-530.

Research output: Contribution to journalArticle

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