Knowledge sharing in technology-intensive manufacturing organizations: Analytic hierarchy process approach

Abstract

Purpose This purpose of this paper is to identify and prioritize the critical factors impacting knowledge sharing (KS) in technology-intensive manufacturing organizations in the United Arab Emirates (UAE) and to propose a decision-making framework for KS.

Design/methodology/approach Analytical Hierarchical Process method is used to identify these critical factors impacting KS in technology-intensive manufacturing organizations in the UAE.

Findings Results show that organizational leadership and culture are the most critical factors impacting KS in the technology-intensive manufacturing organizations.

Research limitations/implications The data are collected from technology-intensive manufacturing organizations in the UAE; therefore, these cannot be generalized to other locations. Future research in different countries is required.

Practical implications To implement successful KS practices in technology-intensive manufacturing organizations, it is essential that all impacting factors and sub-factors are well understood within the organizations.

Originality/value This study is among the first studies in the region that presents a comprehensive framework for KS in manufacturing sector.