Knowledge Sharability in Cross-Organizational Collaboration: An Exploratory Field Study
Collaborators on cross-disciplinary, cross-organizational teams must decide what knowledge is sharable. The sharability of a set of private knowledge is defined as the degree to which one feels willing to reveal that knowledge to people who are not members of one's own organizational unit. This...
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creator | Boughzala, I Briggs, R O |
description | Collaborators on cross-disciplinary, cross-organizational teams must decide what knowledge is sharable. The sharability of a set of private knowledge is defined as the degree to which one feels willing to reveal that knowledge to people who are not members of one's own organizational unit. This paper proposes a Value Frequency Model of Knowledge Sharing (VFKS) to explain knowledge sharability and sharing. It reports qualitative findings from an exploratory field study of the degree to which constructs and relationships proposed by the model were consistent with the attitudes, opinions, and reported actions of professional Chief Knowledge Management Officers (CKMO) from 16 organizations in France. CKMO's were consistent with most aspects of the model, suggesting quantitative investigation of the model may be useful. Critical incidents and utterances of the CKMO's did not address two constructs in the model during this study. Further investigation may show whether these effects manifest in other contexts. |
doi_str_mv | 10.1109/HICSS.2011.275 |
format | Conference Proceeding |
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The sharability of a set of private knowledge is defined as the degree to which one feels willing to reveal that knowledge to people who are not members of one's own organizational unit. This paper proposes a Value Frequency Model of Knowledge Sharing (VFKS) to explain knowledge sharability and sharing. It reports qualitative findings from an exploratory field study of the degree to which constructs and relationships proposed by the model were consistent with the attitudes, opinions, and reported actions of professional Chief Knowledge Management Officers (CKMO) from 16 organizations in France. CKMO's were consistent with most aspects of the model, suggesting quantitative investigation of the model may be useful. Critical incidents and utterances of the CKMO's did not address two constructs in the model during this study. 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Further investigation may show whether these effects manifest in other contexts.</description><subject>Biological system modeling</subject><subject>Collaboration</subject><subject>Companies</subject><subject>Computer Science</subject><subject>Economics</subject><subject>Modeling and Simulation</subject><subject>Proposals</subject><issn>1530-1605</issn><issn>2572-6862</issn><isbn>1424496187</isbn><isbn>9781424496181</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jEtPwkAUhSc-EhHZunEzWxfFufMed6QBIZKwqMYluW0HGDO2pMVH_fWCGM_m5Dv5cgi5BjYEYO5uOkuzbMgZwJAbdUJ6XBmeaKv5KbkEyaV0Gqw5Iz1QgiWgmbogg7Z9ZfsobizXPfLyWNWf0ZdrT7MNNpiHGHYdDRVNm7ptk0Wzxip84y7UFUaa1jFiXje_fE9HFR1_beOB66ajk-BjSbPde9ldkfMVxtYP_rpPnifjp3SazBcPs3Q0TzagpUrAaJMXkuFKcGERpcilFJ45KQrMnfOaFdqBKrEsuPDaO1s4tEwIy50yXvTJ7fF3g3G5bcIbNt2yxrCcjubLw8a4BKWE_oC9e3N0g_f-X1YGrFRS_AA1YGCV</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Boughzala, I</creator><creator>Briggs, R O</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-7362-8497</orcidid></search><sort><creationdate>201101</creationdate><title>Knowledge Sharability in Cross-Organizational Collaboration: An Exploratory Field Study</title><author>Boughzala, I ; Briggs, R O</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h1645-1767bc40af3238aa43b443e0943cab99e60c6915dadc23e6e98c9a803382957e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological system modeling</topic><topic>Collaboration</topic><topic>Companies</topic><topic>Computer Science</topic><topic>Economics</topic><topic>Modeling and Simulation</topic><topic>Proposals</topic><toplevel>online_resources</toplevel><creatorcontrib>Boughzala, I</creatorcontrib><creatorcontrib>Briggs, R O</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Boughzala, I</au><au>Briggs, R O</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Knowledge Sharability in Cross-Organizational Collaboration: An Exploratory Field Study</atitle><btitle>2011 44th Hawaii International Conference on System Sciences</btitle><stitle>hicss</stitle><date>2011-01</date><risdate>2011</risdate><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1530-1605</issn><eissn>2572-6862</eissn><isbn>1424496187</isbn><isbn>9781424496181</isbn><abstract>Collaborators on cross-disciplinary, cross-organizational teams must decide what knowledge is sharable. 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subjects | Biological system modeling Collaboration Companies Computer Science Economics Modeling and Simulation Proposals |
title | Knowledge Sharability in Cross-Organizational Collaboration: An Exploratory Field Study |
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