Knowledge sharing
Purpose Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the wor...
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Veröffentlicht in: | VINE journal of information and knowledge management systems 2019-03, Vol.49 (1), p.136-159 |
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creator | Fauzi, Muhammad Ashraf Nya-Ling, Christine Tan Thursamy, Ramayah Ojo, Adedapo Oluwaseyi |
description | Purpose
Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity.
Design/methodology/approach
A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis.
Findings
The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively.
Research limitations/implications
All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives.
Originality/value
The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general. |
doi_str_mv | 10.1108/VJIKMS-09-2018-0074 |
format | Article |
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Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity.
Design/methodology/approach
A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis.
Findings
The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively.
Research limitations/implications
All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives.
Originality/value
The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general.</description><identifier>ISSN: 2059-5891</identifier><identifier>EISSN: 2059-5905</identifier><identifier>DOI: 10.1108/VJIKMS-09-2018-0074</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>Attitudes ; Author productivity ; Behavior ; Colleges & universities ; Determinants ; Digital media ; Explicit knowledge ; Hypotheses ; Knowledge sharing ; Productivity ; Researchers ; Self-efficacy ; Social interaction ; Social networks ; Social research ; Software</subject><ispartof>VINE journal of information and knowledge management systems, 2019-03, Vol.49 (1), p.136-159</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1210-627177902db10e7aef608c1de56603904c3280ed0d518ca0aeafa6b11e7b00363</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/VJIKMS-09-2018-0074/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11635,21695,27924,27925,52689,53244</link.rule.ids></links><search><creatorcontrib>Fauzi, Muhammad Ashraf</creatorcontrib><creatorcontrib>Nya-Ling, Christine Tan</creatorcontrib><creatorcontrib>Thursamy, Ramayah</creatorcontrib><creatorcontrib>Ojo, Adedapo Oluwaseyi</creatorcontrib><title>Knowledge sharing</title><title>VINE journal of information and knowledge management systems</title><description>Purpose
Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity.
Design/methodology/approach
A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis.
Findings
The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively.
Research limitations/implications
All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives.
Originality/value
The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general.</description><subject>Attitudes</subject><subject>Author productivity</subject><subject>Behavior</subject><subject>Colleges & universities</subject><subject>Determinants</subject><subject>Digital media</subject><subject>Explicit knowledge</subject><subject>Hypotheses</subject><subject>Knowledge sharing</subject><subject>Productivity</subject><subject>Researchers</subject><subject>Self-efficacy</subject><subject>Social interaction</subject><subject>Social networks</subject><subject>Social research</subject><subject>Software</subject><issn>2059-5891</issn><issn>2059-5905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptTztPwzAYtBBIVKUDMwsSs-E-u_FjRBXQ0iIGHqvlJF9KqzQpDhXi3xNU2JjuhnsKcUa4JIK7er2fzR-eJLxUICcBOz4QA4XMy8wjO_zjztOxGHXdGgBZryy5gTidN-1nzeWSz7u3mFbN8kQcVbHuePSLQ_Fye_M8mcrF491scr2QBSmCNL3fWg9V5gS2kSsDV1DJmTHQHuNCKwcuUWbkiojIsYomJ2KbA9roobjY525T-77j7iOs211q-sqgyPX7vNfoVWqv4g2nWJdhm1abmL4CIfy8D_-81988bEmY</recordid><startdate>20190305</startdate><enddate>20190305</enddate><creator>Fauzi, Muhammad Ashraf</creator><creator>Nya-Ling, Christine Tan</creator><creator>Thursamy, Ramayah</creator><creator>Ojo, Adedapo Oluwaseyi</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M1O</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20190305</creationdate><title>Knowledge sharing</title><author>Fauzi, Muhammad Ashraf ; Nya-Ling, Christine Tan ; Thursamy, Ramayah ; Ojo, Adedapo Oluwaseyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1210-627177902db10e7aef608c1de56603904c3280ed0d518ca0aeafa6b11e7b00363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Attitudes</topic><topic>Author productivity</topic><topic>Behavior</topic><topic>Colleges & universities</topic><topic>Determinants</topic><topic>Digital media</topic><topic>Explicit knowledge</topic><topic>Hypotheses</topic><topic>Knowledge sharing</topic><topic>Productivity</topic><topic>Researchers</topic><topic>Self-efficacy</topic><topic>Social interaction</topic><topic>Social networks</topic><topic>Social research</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fauzi, Muhammad Ashraf</creatorcontrib><creatorcontrib>Nya-Ling, Christine Tan</creatorcontrib><creatorcontrib>Thursamy, Ramayah</creatorcontrib><creatorcontrib>Ojo, Adedapo Oluwaseyi</creatorcontrib><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Library Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>VINE journal of information and knowledge management systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fauzi, Muhammad Ashraf</au><au>Nya-Ling, Christine Tan</au><au>Thursamy, Ramayah</au><au>Ojo, Adedapo Oluwaseyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge sharing</atitle><jtitle>VINE journal of information and knowledge management systems</jtitle><date>2019-03-05</date><risdate>2019</risdate><volume>49</volume><issue>1</issue><spage>136</spage><epage>159</epage><pages>136-159</pages><issn>2059-5891</issn><eissn>2059-5905</eissn><abstract>Purpose
Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity.
Design/methodology/approach
A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis.
Findings
The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively.
Research limitations/implications
All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives.
Originality/value
The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/VJIKMS-09-2018-0074</doi><tpages>24</tpages></addata></record> |
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issn | 2059-5891 2059-5905 |
language | eng |
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source | Emerald Complete Journals; Standard: Emerald eJournal Premier Collection |
subjects | Attitudes Author productivity Behavior Colleges & universities Determinants Digital media Explicit knowledge Hypotheses Knowledge sharing Productivity Researchers Self-efficacy Social interaction Social networks Social research Software |
title | Knowledge sharing |
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