Enabling Factors for Knowledge Sharing among Employees in the Workplace

Assefa, Temtim; Garfield, Monica J.; Meshesha, Million

doi:10.4018/978-1-4666-4434-2.ch011

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…However, the majority of KS research has focused on the business sector. Examples include the health sector (Dereje et al, 2016;Dessie, 2017), the banking sector (Assefa et al, 2013), culture, and tourism (Addisalem et al, 2017). Having said that, few studies on factors influencing KS have been conducted in Ethiopian universities, considering social, organizational, and technological factors.…”

Section: Related Workmentioning

confidence: 99%

Factors predicting knowledge sharing behavior of academic staff

Gebreyohans,

T. Croasdell,

Meshesha

2023

SEJS

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The main objective of this paper is to identify the factors that influence academic staff's knowledge-sharing intentions and behaviors in Ethiopian higher education. A structural equation model was used to validate the research framework using survey data from 256 respondents. The collected data has been analyzed using Smart PLS software. The result indicates that the factors that affect knowledge-sharing intention include social interaction, reciprocity, management support, reward systems, and reputation. Systems integrated into teaching-learning practice, availability of information technology infrastructure, perceived ease of use, and perceived usefulness are among the technological factors affecting the intention to use web technology for knowledge sharing toward knowledge-sharing behavior. It has also been concluded that management support had the greatest influence, but the reward system did not affect the knowledge-sharing intention. On the other hand, the availability of IT infrastructure has the largest effect on the intention to use web technology, while perceived ease of use has the least. The contributions of this study are twofold. The framework may serve as a roadmap for future researchers and managers considering their strategy to enhance knowledge sharing in HEI. The findings will benefit academic staff, university administrations, and higher education institutions. This study gives managers a solid foundation to promote and support academic staff's usage of web technology for knowledge sharing. The study will also help academic staff enhance their current knowledge-sharing practices.

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Section: Related Workmentioning

confidence: 99%

Factors predicting knowledge sharing behavior of academic staff

Gebreyohans,

T. Croasdell,

Meshesha

2023

SEJS

View full text Add to dashboard Cite

show abstract

“…However, the majority of KS research has focused on the business sector. Examples include the health sector [17], [18], the banking sector [19], culture, and tourism [20]. Having said that, few studies on factors influencing KS have been conducted in Ethiopian universities.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

IJMIT

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The main objective of this paper is to identify the factors that influence academic staff's digital knowledgesharing behaviors in Ethiopian higher education. A structural equation model was used to validate the research framework using survey data from 210 respondents. The collected data has been analyzed using Smart PLS software. The results of the study show that trust, self-motivation, and altruism are positively related to attitude. Contrary to our expectations, knowledge technology negatively affects attitude. However, reward systems and empowerment by leaders are significantly associated with knowledgesharing intentions.Knowledge-sharing intention, in turn, was significantly related to digital knowledgesharing behavior. The contributions of this study are twofold. The framework may serve as a roadmap for future researchers and managers considering their strategy to enhance digital knowledge sharing in HEI. The findings will benefit academic staff and university administrations.The study will also help academic staff enhance their knowledge-sharing practices.

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Scaling social impact in women-led social enterprises in developing countries: a knowledge-based perspective

Hafiz

Mohiuddin

Latiff

et al. 2023

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PurposeAlthough scaling is considered a “hot topic”, very little is known about how knowledge management (KM) assists in scaling social impact. To fill this gap, the authors draw on knowledge-based and social capital theories and investigate how various KM practices and external networks (e.g. bridging social capital) affect scaling social impact in developing countries.Design/methodology/approachApplying structural equation modeling (SEM) with AMOS version 23, the authors conducted a survey with 354 women leaders who are working in women-led social enterprises in Dhaka, Bangladesh.FindingsThe authors found that knowledge codification, training and mentoring, and bridging social capital are positively and significantly associated with scaling social impact.Originality/valueThis is one of the pioneering study that explore how KM impacts scaling social impact for women-led social enterprises in the context of a developing country. The authors also extend knowledge-based theory by applying it at the individual level. Finally, the authors enhance the understanding of women entrepreneurship by showing that women entrepreneurs in developing countries are also utilizing bridging social capital to overcome challenges associated with scaling social impact.

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Enabling Factors for Knowledge Sharing among Employees in the Workplace

Cited by 3 publications

References 32 publications

Factors predicting knowledge sharing behavior of academic staff

Factors predicting knowledge sharing behavior of academic staff

Untitled

Scaling social impact in women-led social enterprises in developing countries: a knowledge-based perspective

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