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In today's knowledge-based business, knowledge is the only source of competitive advantage for engineering industries. Knowledge sharing plays an important role in the success of knowledge management (KM). Knowledge sharing barriers (KSBs) become obstacles for KM to achieve the goals of the industries. In this paper, three categories of KSBs have been identified such as individual, organisational and technological. The main purpose of this research is to measure the effectiveness of individual, organisational and technological KSBs which helps the managers for taking decision to enhance the successful knowledge sharing strategy in the engineering industries. In this paper, an analytical network process (ANP) framework has been developed with the help of identified determinants, dimensions and enablers to evaluate the effectiveness of alternatives such as individual, organisational and technological KSBs. As per evaluation, the organisational KSBs have the maximum effect on knowledge sharing followed by technological and individual KSBs.

The software industry depends intensively on its actor’s knowledge to develop its products. This knowledge is crucial to leverage innovation and market sustainability within the software industry companies. Knowledge Management (KM) processes are accomplished in the small- and medium-sized software industry companies daily, however, sometimes not formally. This paper proposes a questionnaire aimed to diagnose KM in small- and medium-sized enterprises (SME) of the software industry, namely, KMD Quest-SW. The KMD Quest-SW was designed to fill up the gap of KM diagnosis in SME in the software industry. The KMD Quest-SW has 46 statements distributed in six dimensions: so-called creation process, registration process, knowledge sharing, knowledge use, innovation process, and knowledge in the software industry. From the software industry perspective, our proposal appears as a promising tool to diagnose and map the knowledge flow in SMEs. From a scientific perspective, the questionnaire breaks new grounds for KM theoretically and practitioners to be adapted for other SME companies interested in KM.