The Practice of Knowledge Management in Private Higher Education Institutions in Egypt: The Demographics Effect

Badawy, Tarek A. El; Magdy, Mariam M.

doi:10.5430/ijba.v6n2p96

Cited by 5 publications

(8 citation statements)

References 22 publications

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“…Even others also accept their credibility as a 'giver' of knowledge. Many studies have been conducted focussing on the demographic variables and knowledge Management (Damghanian, et [21] found that women of younger age (20-35 years) showed active knowledge sharing behaviour. In the meantime studies by Mogotsi (2009) [22] showed that there is no significant relationship between age and knowledge sharing behaviour.…”

Section: Age and Knowledge Sharingmentioning

confidence: 99%

Understanding the Relationship of Age, ICT Literacy and Knowledge Sharing among Faculties

Srivastava¹,

Pradhan²

2019

IJRTE

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Information and Communication Technology (ICT) is a buzz word in each and every walk of life. Everything nowadays is amalgamated with the proficient use of ICT and not surprisingly the engineering teaching institutes are one among them. It is the need of the time that the engineering faculties should be well-equipped with the ICT literacy. ICT literacy can depend on a number of variables and age; an important demographic variable no doubt can affect the faculties ICT Literacy (knowledge, access and competence). In the meantime, being ICT literate is not sufficient for a knowledge intensive sector like engineering institutes, it is also how well the faculties share this knowledge in the organization with other stakeholders. In this backdrop this study is a descriptive study with an objective to know the relationship of age with the ICT literacy and Knowledge Sharing (KS) behaviour of the faculties teaching in the engineering institutes. A total sample size of 230 is collected from the five eastern states of India, through online convenience sampling method. The descriptive and correlational analysis showed that although age has significant and positive relationship with knowledge of ICT but it doesn’t have any significant relationship with the ICT literacy and KS behaviour in the institutes

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Section: Age and Knowledge Sharingmentioning

confidence: 99%

Understanding the Relationship of Age, ICT Literacy and Knowledge Sharing among Faculties

Srivastava¹,

Pradhan²

2019

IJRTE

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“…A main concern of KM is to exploit the tacit knowledge and make it available as well for others to employ it (King, 2009). Noticeably, the 1990's marked the starting growing attention to KM from both the academic and management levels (El Badawy, 2015). According to (Groff, 2012), KM can be defined as the systematic process inside the organization for capturing, structuring, managing and disseminating knowledge for efficient work.…”

Section: Knowledge Management: Perspectives and Significancementioning

confidence: 99%

“…Accordingly, a culture of knowledge sharing should be established. Then, empowering employees and setting the appropriate work design are crucial to motivate employees for creating knowledge as well as to encourage the efficient communication and dissemination of knowledge inside the organization (Wang 2012;El Badawy 2015). Successful organizations should clearly set KM systems to promote effectively creation, storage, and sharing of knowledge to maintain their competitiveness.…”

Section: Knowledge Management: Human Resource Management (Hrm) As a Kmentioning

confidence: 99%

Supportive Drivers of Organizational Knowledge Management: A Case Study from Egypt

Bedawy¹

2018

IJBM

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The ability to manage efficiently the flow of knowledge has becoming a crucial requirement to boost the organizational learning and competitiveness along the knowledge era. However, a lack of consensus and confusion may still exist regarding what comprise the Knowledge Management (KM) and its importance to improve the overall organizational performance in Egypt. Moreover, there is generally a lack of an observable organizational KM initiatives' progress in Egypt. This study highlights the significance of KM and explores the key drivers that can support organizational KM initiative in Egypt which requires organizational management and human orientation in terms of setting supportive human resource management, organizational culture and organizational structure. The study also alarms the attention to the various challenges that may hinder the successful implementation of KM initiative in Egypt. Based on the case study approach, this study sheds the light on a good model of IBM Egypt as a guidance supporting the crucial significance of KM for booming innovation and organizational performance.

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“…However, Ismail and Yusof (2009) reported that there was no correlation between demographic variables and knowledge sharing behavior based on a study in a Malaysian ministry. Badawy and Magdy (2015) reviewed the influence of demographic characteristics on employees' attitudes toward knowledge sharing, with a focus on age and gender. They reported that women are more successful in obtaining and transferring knowledge.…”

Section: Demographic Characteristics and Knowledge-sharing Culturementioning

confidence: 99%

“…They further suggested that the interaction of age and gender shows that women of the younger generation (20-35 years) are more active in knowledge sharing. However, Badawy and Magdy (2015), based on studies conducted by Darvish, Ahmadnia, and Qryshan (2013) and Hasnain (2013), concluded that there were no statistical differences between men and women in their knowledge management activities, including knowledge sharing. In their view, the effect of gender and age on knowledge sharing remained inconclusive and unsubstantiated.…”

Section: Demographic Characteristics and Knowledge-sharing Culturementioning

confidence: 99%

Employee perception of the knowledge sharing culture in Kuwaiti companies : effect of demographic characteristics

Marouf¹

2015

LIBRES

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Objective. The aim of this study was to investigate whether employees' perception of the knowledge-sharing culture in an organization varies with demographic characteristics, and whether there are interaction effects between different demographic characteristics. Methods. The survey method was used. Questionnaires were distributed to 500 employees in 75 randomly selected companies in Kuwait; 386 valid responses were collected and analyzed. Results. The results revealed that perception of knowledge sharing culture in these organizations was related to age, experience, position, and sector of employment (public versus private). Position had a positive and direct effect on the perception of knowledge sharing culture. There was interaction between education and gender, sector and gender, and education and sector in their effect on perception of knowledge sharing culture. Contributions. The results of the study would contribute to decision-making and policy formulation aimed at fostering knowledge sharing in organizations.

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The Practice of Knowledge Management in Private Higher Education Institutions in Egypt: The Demographics Effect

Cited by 5 publications

References 22 publications

Understanding the Relationship of Age, ICT Literacy and Knowledge Sharing among Faculties

Understanding the Relationship of Age, ICT Literacy and Knowledge Sharing among Faculties

Supportive Drivers of Organizational Knowledge Management: A Case Study from Egypt

Employee perception of the knowledge sharing culture in Kuwaiti companies : effect of demographic characteristics

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