Sajjid M. Jasimuddin

Bio: Sajjid M. Jasimuddin is an academic researcher. The author has contributed to research in topics: Enterprise architecture & Organizational learning. The author has an hindex of 1, co-authored 1 publications receiving 117 citations.

Organizational culture, structure, technology infrastructure and knowledge sharing

Abstract: Purpose – This paper aims to examine how organizational culture, structure and technology infrastructure influence knowledge sharing. Design/methodology/approach – This study is based on quantitative research, administered on 90 managerial staff in multinational corporations (MNCs) based in Malaysia. Findings – The paper explains the role of organizational cultural and structure on knowledge-sharing processes in MNCs, with the moderating effect of technology infrastructure. Learning and development, top management support and centralization are positively related to knowledge sharing, using technology infrastructure as a moderator. Research limitations/implications – The findings will help MNCs to create an appropriate environment of knowledge sharing. However, the research is limited to MNC’s in Penang, Malaysia, only. Furthermore, similar research can be extended to MNCs in other Asian countries with a larger sample which may bring more statistical power and, thereby, increases generalizability. Practic...

A conceptual model of knowledge sharing

Abstract: The purpose of the study is to develop a conceptual model of knowledge sharing and how knowledge sharing is linked to business performance. The study proposes basic dimensions of knowledge sharing which seem to be poorly defined in the past literature.,The studies were explored from journals which are indexed (Scopus, Thomson Reuters and ProQuest) and specialized in knowledge sharing and business performance. Majority of the papers were available in electronic format, so that papers could be easily explored using the key terms. Various search engines were used to explore the studies such as Google scholar, Emerald insight and ProQuest. Published theses, conference proceedings, working paper series and work in progress were excluded from the search. The review process included the studies from 1987 to 2017. During the review process, papers were explored on the basis of key word search, namely, “Knowledge sharing”, “Business performance” and “Industry type” to reduce interpretation bias.,Knowledge sharing is the significant predictor of business performance and industry type moderates the relationship between knowledge sharing and business performance. The relationship between knowledge sharing and business performance is important in both manufacturing and service organizations. Knowledge sharing dimensions proposed are elementary in nature and require further refinement and development.,The study was approached from a theoretical perspective and the model proposed can be empirically validated by identifying statements for each dimension. Future research should explore the following: As to what extent these dimensions reflect knowledge sharing? Are dimensions chosen carefully? Or do they emerge as a result of previous studies?,The model can be very helpful for managers and practitioners who want to study how knowledge sharing enhances business performance. Managers will be able to understand how industry-specific differences affect business performance through knowledge sharing.,Proposed conceptual model advances the theoretical base of knowledge sharing by suggesting dimensions based on comprehensive review of the literature. The study contributes to knowledge management and business performance literature.

Knowledge infrastructure capability, absorptive capacity and inbound open innovation: evidence from SMEs in France

Abstract: Inbound open innovation (IOI) has become a potentially valuable means of gaining competitive advantage and enhancing organizational performance. This article explores how knowledge infrastructure capability (KIC) affects IOI through the moderating role of absorptive capacity. This research conceptualizes and develops three dimensions of KIC (technological, structural and cultural), and tests the relationships between KIC, absorptive capacity and IOI. Data for the study were collected from 125 small and medium enterprises (SMEs) based in France, and the relationships proposed in the framework were tested using structural equation modeling (SEM). The results indicate that higher levels of KIC can lead to enhanced absorptive capacity and improved IOI. That is, KIC can have a direct, positive impact on absorptive capacity and IOI. Moreover, absorptive capacity partially mediates the linkage between KIC and IOI. The article contributes to the conceptualization of the impact of KIC on IOI, by emphasizin...