Loading…

The impact of individual collaborative activities on knowledge creation and transmission

Collaboration is a major factor in the knowledge and innovation creation in emerging science-driven industries where the technology is rapidly changing and constantly evolving, such as nanotechnology. The objective of this work is to investigate the role of individual scientists and their collaborat...

Full description

Saved in:
Bibliographic Details
Published in:Scientometrics 2017-06, Vol.111 (3), p.1385-1413
Main Authors: Zamzami, Nuha, Schiffauerova, Andrea
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13
cites cdi_FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13
container_end_page 1413
container_issue 3
container_start_page 1385
container_title Scientometrics
container_volume 111
creator Zamzami, Nuha
Schiffauerova, Andrea
description Collaboration is a major factor in the knowledge and innovation creation in emerging science-driven industries where the technology is rapidly changing and constantly evolving, such as nanotechnology. The objective of this work is to investigate the role of individual scientists and their collaborations in enhancing the knowledge flows, and consequently the scientific production. The methodology involves two main phases. First, the data on all the nanotechnology journal publications in Canada was extracted from the SCOPUS database to create the co-authorship network, and then employ statistical data mining techniques to analyze the scientists’ research performance and partnership history. Also, a questionnaire was sent directly to the researchers selected from our database seeking the predominant properties that make a scientist sufficiently attractive to be selected as a research partner. In the second phase, an agent-based model using Netlogo has been developed to study the network in its dynamic context where several factors could be controlled. It was found that scientists in centralized positions in such networks have a considerable positive impact on the knowledge flows, while loyalty and strong connections within a dense local research group negatively affect the knowledge transmission. Star scientists appear to play a substitutive role in the network and are selected when the usual collaborators, i.e., most famous, and trustable partners are scarce or missing.
doi_str_mv 10.1007/s11192-017-2350-x
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1900378938</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1900378938</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13</originalsourceid><addsrcrecordid>eNp1kEtLAzEUhYMoWB8_wF3AdfTeSWcmWUrxBQU3FdyFNI-aOp3UZFrrvzelLty4unDOd86FQ8gVwg0CtLcZEWXFAFtW8RrY7oiMsBaCVaLBYzIC5IJJ5HBKznJeQslwECPyNnt3NKzW2gw0ehp6G7bBbnRHTew6PY9JD2HraPGLMQSXaezpRx-_OmcXjprkClAk3Vs6JN3nVci5CBfkxOsuu8vfe05eH-5nkyc2fXl8ntxNmeG1HFjdjL2ZV1xa3-oGnENrtLAoPWrnsZLQaJS1qIyRYDlI32ivx3NjvRGtR35Org-96xQ_Ny4Pahk3qS8vFUoA3grJRaHwQJkUc07Oq3UKK52-FYLaD6gOA6oyoNoPqHYlUx0yubD9wqU_zf-GfgAz7nYJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1900378938</pqid></control><display><type>article</type><title>The impact of individual collaborative activities on knowledge creation and transmission</title><source>Library &amp; Information Science Abstracts (LISA)</source><source>Springer Link</source><creator>Zamzami, Nuha ; Schiffauerova, Andrea</creator><creatorcontrib>Zamzami, Nuha ; Schiffauerova, Andrea</creatorcontrib><description>Collaboration is a major factor in the knowledge and innovation creation in emerging science-driven industries where the technology is rapidly changing and constantly evolving, such as nanotechnology. The objective of this work is to investigate the role of individual scientists and their collaborations in enhancing the knowledge flows, and consequently the scientific production. The methodology involves two main phases. First, the data on all the nanotechnology journal publications in Canada was extracted from the SCOPUS database to create the co-authorship network, and then employ statistical data mining techniques to analyze the scientists’ research performance and partnership history. Also, a questionnaire was sent directly to the researchers selected from our database seeking the predominant properties that make a scientist sufficiently attractive to be selected as a research partner. In the second phase, an agent-based model using Netlogo has been developed to study the network in its dynamic context where several factors could be controlled. It was found that scientists in centralized positions in such networks have a considerable positive impact on the knowledge flows, while loyalty and strong connections within a dense local research group negatively affect the knowledge transmission. Star scientists appear to play a substitutive role in the network and are selected when the usual collaborators, i.e., most famous, and trustable partners are scarce or missing.</description><identifier>ISSN: 0138-9130</identifier><identifier>EISSN: 1588-2861</identifier><identifier>DOI: 10.1007/s11192-017-2350-x</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Authoring ; Collaboration ; Computer Science ; Data mining ; Data processing ; Documents ; Information Storage and Retrieval ; Innovations ; Knowledge management ; Knowledge sharing ; Library Science ; Nanotechnology ; Scientists ; Statistical analysis</subject><ispartof>Scientometrics, 2017-06, Vol.111 (3), p.1385-1413</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2017</rights><rights>Copyright Springer Science &amp; Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13</citedby><cites>FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13</cites><orcidid>0000-0001-9328-9218</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,34135</link.rule.ids></links><search><creatorcontrib>Zamzami, Nuha</creatorcontrib><creatorcontrib>Schiffauerova, Andrea</creatorcontrib><title>The impact of individual collaborative activities on knowledge creation and transmission</title><title>Scientometrics</title><addtitle>Scientometrics</addtitle><description>Collaboration is a major factor in the knowledge and innovation creation in emerging science-driven industries where the technology is rapidly changing and constantly evolving, such as nanotechnology. The objective of this work is to investigate the role of individual scientists and their collaborations in enhancing the knowledge flows, and consequently the scientific production. The methodology involves two main phases. First, the data on all the nanotechnology journal publications in Canada was extracted from the SCOPUS database to create the co-authorship network, and then employ statistical data mining techniques to analyze the scientists’ research performance and partnership history. Also, a questionnaire was sent directly to the researchers selected from our database seeking the predominant properties that make a scientist sufficiently attractive to be selected as a research partner. In the second phase, an agent-based model using Netlogo has been developed to study the network in its dynamic context where several factors could be controlled. It was found that scientists in centralized positions in such networks have a considerable positive impact on the knowledge flows, while loyalty and strong connections within a dense local research group negatively affect the knowledge transmission. Star scientists appear to play a substitutive role in the network and are selected when the usual collaborators, i.e., most famous, and trustable partners are scarce or missing.</description><subject>Authoring</subject><subject>Collaboration</subject><subject>Computer Science</subject><subject>Data mining</subject><subject>Data processing</subject><subject>Documents</subject><subject>Information Storage and Retrieval</subject><subject>Innovations</subject><subject>Knowledge management</subject><subject>Knowledge sharing</subject><subject>Library Science</subject><subject>Nanotechnology</subject><subject>Scientists</subject><subject>Statistical analysis</subject><issn>0138-9130</issn><issn>1588-2861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>F2A</sourceid><recordid>eNp1kEtLAzEUhYMoWB8_wF3AdfTeSWcmWUrxBQU3FdyFNI-aOp3UZFrrvzelLty4unDOd86FQ8gVwg0CtLcZEWXFAFtW8RrY7oiMsBaCVaLBYzIC5IJJ5HBKznJeQslwECPyNnt3NKzW2gw0ehp6G7bBbnRHTew6PY9JD2HraPGLMQSXaezpRx-_OmcXjprkClAk3Vs6JN3nVci5CBfkxOsuu8vfe05eH-5nkyc2fXl8ntxNmeG1HFjdjL2ZV1xa3-oGnENrtLAoPWrnsZLQaJS1qIyRYDlI32ivx3NjvRGtR35Org-96xQ_Ny4Pahk3qS8vFUoA3grJRaHwQJkUc07Oq3UKK52-FYLaD6gOA6oyoNoPqHYlUx0yubD9wqU_zf-GfgAz7nYJ</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Zamzami, Nuha</creator><creator>Schiffauerova, Andrea</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope><orcidid>https://orcid.org/0000-0001-9328-9218</orcidid></search><sort><creationdate>20170601</creationdate><title>The impact of individual collaborative activities on knowledge creation and transmission</title><author>Zamzami, Nuha ; Schiffauerova, Andrea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Authoring</topic><topic>Collaboration</topic><topic>Computer Science</topic><topic>Data mining</topic><topic>Data processing</topic><topic>Documents</topic><topic>Information Storage and Retrieval</topic><topic>Innovations</topic><topic>Knowledge management</topic><topic>Knowledge sharing</topic><topic>Library Science</topic><topic>Nanotechnology</topic><topic>Scientists</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zamzami, Nuha</creatorcontrib><creatorcontrib>Schiffauerova, Andrea</creatorcontrib><collection>CrossRef</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><jtitle>Scientometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zamzami, Nuha</au><au>Schiffauerova, Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of individual collaborative activities on knowledge creation and transmission</atitle><jtitle>Scientometrics</jtitle><stitle>Scientometrics</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>111</volume><issue>3</issue><spage>1385</spage><epage>1413</epage><pages>1385-1413</pages><issn>0138-9130</issn><eissn>1588-2861</eissn><abstract>Collaboration is a major factor in the knowledge and innovation creation in emerging science-driven industries where the technology is rapidly changing and constantly evolving, such as nanotechnology. The objective of this work is to investigate the role of individual scientists and their collaborations in enhancing the knowledge flows, and consequently the scientific production. The methodology involves two main phases. First, the data on all the nanotechnology journal publications in Canada was extracted from the SCOPUS database to create the co-authorship network, and then employ statistical data mining techniques to analyze the scientists’ research performance and partnership history. Also, a questionnaire was sent directly to the researchers selected from our database seeking the predominant properties that make a scientist sufficiently attractive to be selected as a research partner. In the second phase, an agent-based model using Netlogo has been developed to study the network in its dynamic context where several factors could be controlled. It was found that scientists in centralized positions in such networks have a considerable positive impact on the knowledge flows, while loyalty and strong connections within a dense local research group negatively affect the knowledge transmission. Star scientists appear to play a substitutive role in the network and are selected when the usual collaborators, i.e., most famous, and trustable partners are scarce or missing.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11192-017-2350-x</doi><tpages>29</tpages><orcidid>https://orcid.org/0000-0001-9328-9218</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0138-9130
ispartof Scientometrics, 2017-06, Vol.111 (3), p.1385-1413
issn 0138-9130
1588-2861
language eng
recordid cdi_proquest_journals_1900378938
source Library & Information Science Abstracts (LISA); Springer Link
subjects Authoring
Collaboration
Computer Science
Data mining
Data processing
Documents
Information Storage and Retrieval
Innovations
Knowledge management
Knowledge sharing
Library Science
Nanotechnology
Scientists
Statistical analysis
title The impact of individual collaborative activities on knowledge creation and transmission
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T03%3A48%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20impact%20of%20individual%20collaborative%20activities%20on%20knowledge%20creation%20and%20transmission&rft.jtitle=Scientometrics&rft.au=Zamzami,%20Nuha&rft.date=2017-06-01&rft.volume=111&rft.issue=3&rft.spage=1385&rft.epage=1413&rft.pages=1385-1413&rft.issn=0138-9130&rft.eissn=1588-2861&rft_id=info:doi/10.1007/s11192-017-2350-x&rft_dat=%3Cproquest_cross%3E1900378938%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c359t-564fcb239df7a60ee1dca8d19f1aef12906a19582cc90d309f6afa4bcdfc87f13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1900378938&rft_id=info:pmid/&rfr_iscdi=true