scholarly journals ANALYZING THE IMPACT OF INDIVIDUAL, GROUP, ORGANIZATIONAL, AND TECHNOLOGICAL FACTORS ON KNOWLEDGE SHARING ACTIVITIES AMONGST ACADEMICS IN INDONESIA

2021 ◽  
Vol 11 (3) ◽  
pp. 394
Author(s):  
Lina Anatan ◽  
Wilson Bangun ◽  
Fransiscus Marcel
Keyword(s):  
Higher Education ◽  
Knowledge Sharing ◽  
Private Universities ◽  
Organizational Factors ◽  
Training System ◽  
Individual Factors ◽  
Sustainable Competitive Advantage ◽  
Public And Private ◽  
Technological Factors ◽  
The Impact

Knowledge is the most important strategic resource for knowledge-based organizations such as higher education to achieve sustainable competitive advantage. Facing dynamic and unpredictable competition, organizations not only rely solely on a workforce training system that focuses on selecting workers who have specific knowledge, skills, abilities, or competencies, but also organizations must start thinking about how the knowledge sharing process can be carried out in organization. This study is conducted to investigate factors influencing knowledge sharing activities among academics in Indonesia. These factors include individual factors, group factors, organizational factors, and technological factors. This study involved academics from public and private universities in Indonesia and data collected through surveys. This study involved 141 respondents from 17 study programs which include 31 public and private universities in Indonesia. The results showed that individual factors, organizational factors, and technological factors had a significant influence on knowledge sharing activities among academics in higher education, while group factors did not have a significant effect on knowledge sharing activities between academics in universities in Indonesia

How academic leaders facilitate knowledge sharing: a case of universities in Hong Kong

2020 ◽  
Vol 41 (6) ◽  
pp. 777-798
Author(s):  
Man Fung Lo ◽  
Feng Tian
Keyword(s):  
Higher Education ◽  
Hong Kong ◽  
Knowledge Sharing ◽  
Latent Variables ◽  
Organizational Factors ◽  
Individual Factors ◽  
Content Type ◽  
Helping Others ◽  
The Impact ◽  
Hong Kong Higher Education

PurposeThe objective of this study is to investigate the factors of two sub-processes – knowledge donating and knowledge collecting – of knowledge sharing in Hong Kong higher education context. This study examines the individual factors, organizational factors and technology factor of knowledge sharing. Individual factors include enjoyment in helping others and knowledge self-efficacy while organizational factors refer to the top management support, organizational rewards and organizational culture. The use of technology system is proposed to be the technology factor.Design/methodology/approachBased on the literature review, this study develops a structural model representing the impact of six latent variables on knowledge donating and knowledge collecting processes Data from a questionnaire survey of 166 respondents from academics from Hong Kong higher education sector was used to analyze the model. PLS-SEM was adopted in this study.FindingsThe result of the data analysis suggests enjoyment in helping others has a positive impact on both knowledge donating and knowledge collecting. For organizational factors, a trust and collaborative culture enhance both the sub-processes. The technology factor only contributes to the knowledge donating process. Several practical implications are provided to high education leaders, for instance, by establishing a trust and collaborative environment, academics are more eager to donate and collect knowledge.Originality/valueThis paper provides insights for researchers to further understand how individual, organizational and technology factors affect two sub-processes of knowledge sharing. On the practical side, this study validated several critical factors to successful knowledge donation and knowledge collection.

Do social networking applications support the antecedents of knowledge sharing practices?

2019 ◽  
Vol 49 (4) ◽  
pp. 494-509 ◽  
Author(s):  
Muhammad Naeem ◽  
Mohammad Javid Khan
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Private Universities ◽  
Organizational Factors ◽  
Business Environment ◽  
Public And Private ◽  
Content Type ◽  
University Settings ◽  
Social Networking Tools

Purpose Many organizations are struggling to achieve competitiveness due to lack of knowledge sharing (KS) practices. The sustainability of the service sector is linked to KS practices and creativity. Therefore, to survive in a dynamic business environment, universities have to formulate and implement such practices and innovative learning systems. This paper aims to highlight how social media networking apps can be used efficiently and effectively to support the antecedents of KS among the employees in public and private universities. Design/methodology/approach This study is based on a positivistic approach and a quantitative research design. A survey was carried out with employees at public and private universities. The respondents were chosen based on simple random sampling with the purpose of increasing the validity and generalizability of the results in the context of university settings and for other sectors as well. Findings Certain individual and organizational factors have been found, which have been supported by social networking tools. These factors can enhance KS practices, such as informal relationships and social networking, effective communication and collaboration, mutual trust and the intention to share knowledge, the KS culture and new ideas. The results of this study reveal that social networking applications such as WhatsApp, Viber, Skype, Facebook, Research-gate, YouTube and personal blogs are more productive in supporting the antecedents of KS stated above in university settings. Research limitations/implications Social networking applications have received attention because executives and researchers are increasingly focusing on finding new ways to use social networking tools for business purposes. The effective and efficient use of social networking tools helps organizations to foster knowledge amongst employees to address various critical issues, such as knowledge hoarding, lower levels of skills and knowledge, lower levels of communication and employee involvement, a lack of the intention to share knowledge and resistance toward the adoption of new technology. Originality/value There is rare literature available on how social networking tools can support the antecedents of KS in university settings. Most of such literature has investigated the link between social media and KS using a systematic literature and qualitative research approach. This research is based on empirical study and it is unique as it investigates the hitherto under-researched issue of the adoption of social networking applications to foster the antecedents of KS in university settings.

scholarly journals Determinants of Academics’ Knowledge Sharing Behavior in United Arab Emirates Universities

2014 ◽  
Vol 5 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Roslina Othman
Keyword(s):  
Higher Education ◽  
Knowledge Sharing ◽  
United Arab Emirates ◽  
Online Survey ◽  
Private Universities ◽  
Equation Modeling ◽  
Public And Private ◽  
Knowledge Sharing Behavior ◽  
Significant Difference ◽  
Sharing Behavior

This research aims to determine the factors affecting knowledge sharing behavior among academics in United Arab Emirates universities and identify the effect of university type on academics’ behavior. The research adopted Ajzen’s amended Theory of Planned Behavior. Employing an online survey, data were collected from academics in public and private universities using a questionnaire. The model was tested using Partial Least Squares structural equation modeling. The results found a significant difference in academics’ knowledge sharing behavior between public and private universities. Results also revealed that intention is the main determinant of knowledge sharing behavior, and that attitude, subjective norms, and self-efficacy have significant influence on intention while controllability has no influence on it. The significance of this research lies in that it is one of the first to use the amended theory and the only research to address knowledge sharing behavior in higher education in the Arab World. This research provides useful basis for higher education institutions to create a knowledge sharing culture and helps academics to enhance their performance.

scholarly journals KNOWLEDGE SHARING MODEL AMONG ACADEMIC STAFFS IN UNIVERSITIES

2013 ◽  
Vol 8 (2) ◽  
pp. 133
Author(s):  
Semlinda Juszandri Bulan ◽  
Dana Indra Sensuse
Keyword(s):  
Knowledge Sharing ◽  
Organizational Performance ◽  
Academic Staff ◽  
Organizational Factors ◽  
Education Sector ◽  
Individual Factors ◽  
Technological Factors

Knowledge sharing is very important in an organization, one of the effects of these activities is to improve the performance of the organization. In education sector, effective knowledge sharing among academic staff can improve the performance of a college. This research proposed a model for knowledge sharing among academic staff, firstly the factors that influence knowledge sharing consists of individual factors, organizational factors and technological factors and secondly relationship between knowledge sharing and organizational performance.

How does the public and private university environment affect students’ entrepreneurial intention?

2017 ◽  
Vol 59 (6) ◽  
pp. 550-564 ◽  
Author(s):  
Mario Duarte Canever ◽  
Maria Renata Martínez Barral ◽  
Felipe Garcia Ribeiro
Keyword(s):  
Business Students ◽  
Private Universities ◽  
Principal Component ◽  
Private University ◽  
Entrepreneurial Intention ◽  
Public And Private ◽  
Content Type ◽  
University Environment ◽  
The Public ◽  
The Impact

Purpose The purpose of this paper is to explore the causal links between public and private university environments and the entrepreneurial intention (EI) of students. Design/methodology/approach The impact of different university environments on the students’ EI was checked using a model adapted from Krueger et al. (2000). The study comprised a sample of students enrolled in business administration from three public and three private universities at first semester (freshmen) and at the last two semesters (senior) in Brazil. The model was measured through various questions and later assessed by principal component analysis to build constructs. Via t-test and path analysis the EI and the antecedents were subjected to a comparative analysis to test the equality of the models across the four categories emerged. Findings The two main types of Brazilian university environments (public and private) do not present significant differences in the way they influence EI and its antecedents. Both the tests of means and the tests of measurement of the structural relations between constructs confirm this finding with only a few exceptions. The result of this study is opposed to other studies carried out in Brazil, by showing that the public university environment is not worse for the entrepreneurship than the private. The environmental effects are mostly equal and they as a whole are not conducive to the development of EI. Research limitations/implications The study comprises business students only, and enrolled on regular universities. It is worth highlighting that evidence was brought to the debate for a group of universities in Brazil. Replicating the study with students from other areas and other universities, as well as students in Master’s and Doctorate programs could enrich the analyses. Practical implications This study provides insight into entrepreneurship education, as to which the university environment is conducive to the entrepreneurship. It brings insights for the development of entrepreneurial universities. Originality/value This study contributes to understanding the differences between the public and private universities environment regarding students’ EI.

scholarly journals The Effect of TUBITAK’s R&D and Project Fundings on Academic Research Activities

2021 ◽  
Vol 11 (1) ◽  
pp. 83-91
Author(s):  
emine beyza satoğlu
Keyword(s):  
Positive Impact ◽  
Panel Data Analysis ◽  
Research Performance ◽  
Academic Research ◽  
Private Universities ◽  
Research Capacity ◽  
Public And Private ◽  
Research Activities ◽  
Technological Research Council ◽  
The Impact

Universities, through providing research, publications and innovations in the scientific field, provide significant contributions to the national research and development (R&D) system. That is why most governments are keen to support scientific research activities directly or indirectly. In this regard, this paper aims to analyze the impact of R&D supports of TÜBİTAK (The Scientific and Technological Research Council of Turkey) on the research performance of universities in Turkey. The study comparatively investigates the efficiency of the research fundings in different university types, public and private. As an empirical model, a panel data analysis spanning 2013 to 2018 period has been used for the top 10 public and top 11 private universities. Our findings prove that national research grants of TUBITAK have a significant and positive impact on academic research only when the highest-ranking universities are analyzed; otherwise, the impact is insignificant. Secondly, for the large sample analysis, we found that public universities used research funds more efficiently compared to private universities. Furthermore, our findings prove that teaching load does not necessarily risk the research capacity of a university.

scholarly journals The impact of transformational leadership on individual academy performance through knowledge sharing

2021 ◽  
Vol 9 (2) ◽  
pp. 465-480 ◽  
Author(s):  
Thi Minh Thu Vu ◽  
Khashayar Yazdani
Keyword(s):  
Higher Education ◽  
Social Support ◽  
Transformational Leadership ◽  
Organizational Commitment ◽  
Organizational Learning ◽  
Knowledge Sharing ◽  
Employee Engagement ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The objective of this paper is to evaluate the impact of transformational leadership on individual academy performance through knowledge sharing, organizational learning, organizational commitment in higher education Vietnam. The study conducts the research on 500 lecturers at 10 universities in Vietnam. The study uses Smart pls 3.6 software to analyze the data. The results show that transformational leadership had a positive effect on knowledge sharing, organizational learning and organizational commitment. Ultimately, employee engagement and social support play a moderate role in the relationship between transformational leadership and knowledge sharing statistically. However, organizational learning and organizational commitment did not play any mediate role on the relationship between transformational leadership and knowledge sharing.

The Impact of Knowledge Sharing Towards Higher Education Performance in Research Productivity

2021 ◽  
Vol 13 (1) ◽  
pp. 121-132
Author(s):  
Hilmi Aulawi
Keyword(s):  
Higher Education ◽  
Quantitative Analysis ◽  
Knowledge Sharing ◽  
Research Productivity ◽  
Group Discussion ◽  
Development Program ◽  
Higher Education Management ◽  
Education Management ◽  
Education Performance ◽  
The Impact

Research productivity constitutes a key factor in maintaining the sustainability of higher education management. This study aims to identify the impact of knowledge sharing on research productivity in higher education. This research is a mixed-methods study with a sequential explanatory case study design. Quantitative analysis of questionnaires was initially performed by using linear regression. The participants included 35 lecturers working for a private university in Indonesia. The following stage involved further verifying the questionnaire results by means of quantitative analysis of interview data, documents, and focus group discussion (FGD). Results substantiated that knowledge sharing positively and significantly influenced the university's research productivity. In addition, it was revealed that existing expert groups, knowledge-sharing agenda, collaborative research, facility support, funds, partnership with external institutions and human resources development program contributed to the enhancement of lecturers' ability to generate ideas and engage in research endeavors.

Knowledge Management

2018 ◽  
pp. 232-261 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Knowledge Management ◽  
Knowledge Transfer ◽  
Knowledge Sharing ◽  
Organizational Performance ◽  
Organizational Factors ◽  
Knowledge Mapping ◽  
Sustainable Competitive Advantage ◽  
Process Technology

This chapter indicates the overview of Knowledge Management (KM); KM and innovation; KM and human capital; KM and social capital; KM and Human Resource Management (HRM); the significant perspectives on KM; and the advanced issues of knowledge transfer, knowledge sharing, and knowledge mapping. KM is the advanced method toward better organizational performance through knowledge transfer and knowledge sharing, and involves various organizational factors, such as people, process, technology, and culture. Utilizing KM can enhance the execution of innovation, human capital, social capital, decision making, and HRM in modern organizations. Regarding KM perspectives, creating and distributing new knowledge through effective knowledge transfer and knowledge sharing have the potential to increase organizational performance and gain sustainable competitive advantage in the knowledge era.

The Impact of Scale and Scope on Global University Rankings

2017 ◽  
pp. 140-160
Author(s):  
Liang-Cheng Zhang ◽  
Andrew C. Worthington
Keyword(s):  
Economies Of Scale ◽  
Research Performance ◽  
Private Universities ◽  
University Rankings ◽  
Public And Private ◽  
Global University ◽  
Teaching Programs ◽  
Institutional Reputation ◽  
The Impact ◽  
And Training

Economies of scale and scope are increasingly critical for universities operating in globally competitive higher education teaching, research and training markets. This is because the associated cost advantages could enable some institutions to increase their university rankings relatively easier. This chapter investigates the relationships between economies of scale (measured by the number of enrollments) and scope (measured by the number of teaching programs), research performance, and institutional reputation (measured by the ARWU and QS ranking scores). The results show that larger and more diverse institutions tend to have higher scores. However, when separated into public and private universities, the scale and scope effects are not so obvious between private universities and the ARWU ranking scores. Nevertheless, the chapter does identify a significant scope effect in the QS rankings for private institutions, implying that expanding research, teaching, and training programs may benefit these scores.

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