Influence of Culture on Knowledge Sharing Attitude among Academic Staff in eLearning Virtual Communities in Saudi Arabia

Daniel Chandran,Abdullah M Alammari

doi:10.1007/s10796-020-10048-x

Daniel Chandran, Abdullah M Alammari

Open Access

https://doi.org/10.1007/s10796-020-10048-x

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Abstract

Knowledge sharing is a significant component of success in knowledge management. In Saudi Arabia, knowledge management is often lacking when it comes to knowledge sharing adoption, especially between academic staff. This research aims to investigate various factors of knowledge sharing adoption for eLearning communities in Saudi Arabia and to examine the effect of culture as a moderating role on the relationships between these factors and academics’ attitude. Therefore, a framework is aimed at sharing knowledge within the eLearning communities is developed. Data has been collected from public universities in Saudi Arabia. Partial Least Square approach has been applied to analyse the data. The results show individual factors (such as openness in communication, interpersonal trust) and technology acceptance factors (perceived usefulness and perceived ease of use) significantly influence knowledge sharing attitude, while the relationship between people self-motivation and knowledge sharing attitude is insignificant. Subjective norm and attitude significantly impact behavioral intention toward knowledge sharing adoption in Saudi universities’ eLearning communities.

Highlights

Enterprise Architecture (EA) is an important discipline for handling organizational design and its underlying complexity [1]
Capsifi engaged researchers from the University of Technology Sydney (UTS) in 2018 to help them with the research and development of an analyticsenabled adaptive Business Architecture (BA) modeling approach which can be integrated with their existing modeling framework and platform
4.2 Analytics The analytics modeling dimension refers to the well-known CRISP-DM methodology, which we aim to incorporate into BA modeling for creating the analytics-enabled BA modeling approach

Summary

Introduction

Enterprise Architecture (EA) is an important discipline for handling organizational design and its underlying complexity [1]. It helps to address the alignment and integration of business and IT [1], [2] through strategy to execution [3] for enabling business value [2]. TOGAF and Zachman frameworks have been around for a long time and cover both the EA method and ontology aspects. TOGAF seems to provide an end-to-end architecture development method (ADM) covering architecture planning, design, execution and governance phases. The Zachman framework provides an ontology, which may guide documenting different architecture views at different levels of abstractions ranging from contextual to operational architecture views

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