How to promote knowledge transfer within R&D team? An evolutionary game based on prospect theory
Knowledge transfer is the basis for R&D teams and enterprises to improve innovation performance, win market competition and seek sustainable development. In order to explore the path to promote knowledge transfer within the R&D team, this study considers the bounded rationality and risk pref...
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| Veröffentlicht in: | PloS one 2023-12, Vol.18 (12), p.e0289383-e0289383 |
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| creator | Zhu, Xiaoya Meng, Xiaohua Zhang, Yanjing |
| description | Knowledge transfer is the basis for R&D teams and enterprises to improve innovation performance, win market competition and seek sustainable development. In order to explore the path to promote knowledge transfer within the R&D team, this study considers the bounded rationality and risk preference of individuals, incorporates prospect theory into evolutionary game, constructs a perceived benefits matrix distinct from the traditional benefits matrix, and simulates the evolutionary game process. The results show that, R&D personnel's knowledge transfer decisions depend on the net income difference among strategies; only if perceived cost is less than the sum of perceived synergy benefit, perceived organization reward value, and perceived organization punishment value, can knowledge be fully shared and transferred within the R&D team. Moreover, R&D personnel's knowledge transfer decisions are interfered by the irrational psychological factors, including overconfidence, reflection, loss avoidance, and obsession with small probability events. The findings help R&D teams achieve breakthroughs in improving the efficiency of knowledge transfer, thereby enhancing the capacity of enterprises for collaborative innovation. |
| doi_str_mv | 10.1371/journal.pone.0289383 |
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An evolutionary game based on prospect theory</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Zhu, Xiaoya ; Meng, Xiaohua ; Zhang, Yanjing</creator><contributor>Khan, Syed Abdul Rehman</contributor><creatorcontrib>Zhu, Xiaoya ; Meng, Xiaohua ; Zhang, Yanjing ; Khan, Syed Abdul Rehman</creatorcontrib><description><![CDATA[Knowledge transfer is the basis for R&D teams and enterprises to improve innovation performance, win market competition and seek sustainable development. In order to explore the path to promote knowledge transfer within the R&D team, this study considers the bounded rationality and risk preference of individuals, incorporates prospect theory into evolutionary game, constructs a perceived benefits matrix distinct from the traditional benefits matrix, and simulates the evolutionary game process. The results show that, R&D personnel's knowledge transfer decisions depend on the net income difference among strategies; only if perceived cost is less than the sum of perceived synergy benefit, perceived organization reward value, and perceived organization punishment value, can knowledge be fully shared and transferred within the R&D team. Moreover, R&D personnel's knowledge transfer decisions are interfered by the irrational psychological factors, including overconfidence, reflection, loss avoidance, and obsession with small probability events. The findings help R&D teams achieve breakthroughs in improving the efficiency of knowledge transfer, thereby enhancing the capacity of enterprises for collaborative innovation.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0289383</identifier><identifier>PMID: 38064460</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Absorptive capacity ; Analysis ; Behavior ; China ; Collaboration ; Competitive advantage ; Construction accidents & safety ; Decision making ; Decisions ; Economic development ; Environmental aspects ; Evolution ; Expected utility ; Explicit knowledge ; Game theory ; Games ; Health aspects ; Hypotheses ; Innovations ; Knowledge management ; Knowledge transfer ; Methods ; Personnel ; Product development ; Psychological factors ; R&D ; Research & development ; Social networks ; Sustainable development ; Tacit knowledge ; Teams</subject><ispartof>PloS one, 2023-12, Vol.18 (12), p.e0289383-e0289383</ispartof><rights>Copyright: © 2023 Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c520t-f4b609fe1f08a0b264932cf50a2235bd0562566c312690182bd7bb74bbeef0003</cites><orcidid>0000-0002-4938-3458</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0289383&type=printable$$EPDF$$P50$$Gplos$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289383$$EHTML$$P50$$Gplos$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2928,23866,27924,27925,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38064460$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Khan, Syed Abdul Rehman</contributor><creatorcontrib>Zhu, Xiaoya</creatorcontrib><creatorcontrib>Meng, Xiaohua</creatorcontrib><creatorcontrib>Zhang, Yanjing</creatorcontrib><title>How to promote knowledge transfer within R&D team? 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The findings help R&D teams achieve breakthroughs in improving the efficiency of knowledge transfer, thereby enhancing the capacity of enterprises for collaborative innovation.]]></description><subject>Absorptive capacity</subject><subject>Analysis</subject><subject>Behavior</subject><subject>China</subject><subject>Collaboration</subject><subject>Competitive advantage</subject><subject>Construction accidents & safety</subject><subject>Decision making</subject><subject>Decisions</subject><subject>Economic development</subject><subject>Environmental aspects</subject><subject>Evolution</subject><subject>Expected utility</subject><subject>Explicit knowledge</subject><subject>Game theory</subject><subject>Games</subject><subject>Health aspects</subject><subject>Hypotheses</subject><subject>Innovations</subject><subject>Knowledge management</subject><subject>Knowledge transfer</subject><subject>Methods</subject><subject>Personnel</subject><subject>Product development</subject><subject>Psychological factors</subject><subject>R&D</subject><subject>Research & development</subject><subject>Social networks</subject><subject>Sustainable development</subject><subject>Tacit knowledge</subject><subject>Teams</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkk1v1DAYhCMEoqXwDxBYQqrgsMtrO3GSE1qVj1aqVKl8XI2dvN5NcewQOyz993jVFHVRD8iHWNEzI2tmsuw5hSXlJX175afRKbscvMMlsKrmFX-QHdKas4VgwB_euR9kT0K4Aih4JcTj7IBXIPJcwGH2_dRvSfRkGH3vI5Ifzm8ttmskcVQuGBzJtoubzpHL4_ckourfkZUj-MvbKXbeqfGarFWPRKuALfFu5xQGbCKJG_Tj9dPskVE24LP5e5R9_fjhy8np4vzi09nJ6nzRFAziwuRaQG2QGqgUaCby9PbGFKAY44VuoRCsEKLhlIkaaMV0W2pd5lojGgDgR9nLG9_B-iDncILkULKa1SXkiXg9E6P_OWGIsu9Cg9Yqh34KktXA6kJQShP66h_0fsOZWiuLsnPGp8yanalclWVRcsFzkajlPVQ6LfZdk8ozXfq_J3izJ0hMxN9xraYQ5Nnny_9nL77ts8d32A0qGzdhrjHsg_kN2KQqw4hGDmPXp6YlBbnb3m0acrc9OW8vyV7MoU26x_av6HZs_A9Rc9Is</recordid><startdate>20231208</startdate><enddate>20231208</enddate><creator>Zhu, Xiaoya</creator><creator>Meng, Xiaohua</creator><creator>Zhang, Yanjing</creator><general>Public Library of Science</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4938-3458</orcidid></search><sort><creationdate>20231208</creationdate><title>How to promote knowledge transfer within R&D team? 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Academic</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Xiaoya</au><au>Meng, Xiaohua</au><au>Zhang, Yanjing</au><au>Khan, Syed Abdul Rehman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How to promote knowledge transfer within R&D team? An evolutionary game based on prospect theory</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-12-08</date><risdate>2023</risdate><volume>18</volume><issue>12</issue><spage>e0289383</spage><epage>e0289383</epage><pages>e0289383-e0289383</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract><![CDATA[Knowledge transfer is the basis for R&D teams and enterprises to improve innovation performance, win market competition and seek sustainable development. In order to explore the path to promote knowledge transfer within the R&D team, this study considers the bounded rationality and risk preference of individuals, incorporates prospect theory into evolutionary game, constructs a perceived benefits matrix distinct from the traditional benefits matrix, and simulates the evolutionary game process. The results show that, R&D personnel's knowledge transfer decisions depend on the net income difference among strategies; only if perceived cost is less than the sum of perceived synergy benefit, perceived organization reward value, and perceived organization punishment value, can knowledge be fully shared and transferred within the R&D team. Moreover, R&D personnel's knowledge transfer decisions are interfered by the irrational psychological factors, including overconfidence, reflection, loss avoidance, and obsession with small probability events. The findings help R&D teams achieve breakthroughs in improving the efficiency of knowledge transfer, thereby enhancing the capacity of enterprises for collaborative innovation.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38064460</pmid><doi>10.1371/journal.pone.0289383</doi><tpages>e0289383</tpages><orcidid>https://orcid.org/0000-0002-4938-3458</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Absorptive capacity Analysis Behavior China Collaboration Competitive advantage Construction accidents & safety Decision making Decisions Economic development Environmental aspects Evolution Expected utility Explicit knowledge Game theory Games Health aspects Hypotheses Innovations Knowledge management Knowledge transfer Methods Personnel Product development Psychological factors R&D Research & development Social networks Sustainable development Tacit knowledge Teams |
| title | How to promote knowledge transfer within R&D team? An evolutionary game based on prospect theory |
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