Abstract

As a core process to knowledge management that aids innovation and regeneration of knowledge, knowledge sharing cannot be overemphasized owing to its importance in gaining competitive edge and sustaining competitive advantage. Therefore, this study examines factors influencing knowledge sharing using multi-criteria model. The research design is quantitative and analytical in nature through a survey of experts (Lecturers) with the usage of pairwise comparison questionnaire. Sample was drawn through multi-stage sampling procedure and 102 copies of questionnaires were retrieved and found fit for analysis. Data collected were modelled into clusters in line with ANP technique. The results show that institutional norms were better group of motivator for knowledge sharing while; individual barriers are more disastrous to knowledge sharing. Moreover, reflections of university mission, academic-industrial research and development excellence and quality teaching service delivery are both equally and moderately influenced by determinants of knowledge sharing. Therefore, based on the findings, academic staff are advised to be unbiased to knowledge sharing acts, while, policymakers are encouraged to demand the need for academic staff progress in career, intellectual benefits and financial rewards, and campaign against cultural differences and high job politics, in order to improve the flow of knowledge among academics for global competitiveness.

Highlights

  • In this digital age, knowledge as an economic asset which is constantly generated within institutions has become a prominent resource utilized by progressive institutions in gaining a competitive edge and sustaining competitive advantage (Amayah, 2013; Drucker, 1995; Sandhu, Jain andAhmad, 2011) over other institutions within and outside their industry

  • On the organizational barriers presented to academic staff, job politics possesses the highest hindrance capacity to knowledge sharing among academic staff with 33%, followed by unhealthy rivalry among institution units of 23%, with loose and weak institutional structure and lack of Knowledge Sharing

  • Findings depict that academic staff perceived individual barriers to be more important and critical to knowledge sharing because it promotes negative behaviour towards knowledge sharing as moderate as 57% compared to organizational barriers

Read more

Summary

Introduction

Knowledge as an economic asset which is constantly generated within institutions has become a prominent resource utilized by progressive institutions in gaining a competitive edge and sustaining competitive advantage (Amayah, 2013; Drucker, 1995; Sandhu, Jain andAhmad, 2011) over other institutions within and outside their industry. 2336-2375 1803-1617 so, if properly shared, knowledge from diverse disciplines can help to aid development in economic, industrial, governmental and societal issues within the multifaceted and ever-changing environment such as Nigeria. The Analytic Network Process (ANP) is an improved and generalized form of Analytic Hierarchy Process (AHP) proposed by Saaty (1996). It is a comprehensive multi-attribute decision-making technique that helps in modelling complex environmental situations involving risk and uncertainty and to incorporate both interaction and feedback within elements in a cluster (inner dependence) and between clusters (outer dependence) as perceived by decision-makers (Saaty, 1996). In order to evaluate the in-depth importance of knowledge sharing, its varying driving forces and barriers with the aim of gaining an overall intellectual ground on the subject matter in institutions within the developing country like Nigeria, an analytical tool like ANP is crucial

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.