Growth and structure of authorship and co-authorship network in the strategic management realm: Evidence from the Strategic Management Journal

Köseoğlu, Mehmet Ali

doi:10.1016/j.brq.2016.02.001

Cited by 177 publications

(176 citation statements)

References 110 publications

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“…While in 2011 there is a slight recession (48 nodes in 2011 vs. 70 in 2010), 2012 seems to be the consolidation year for TM as a field with over 80 authors in the network. From 2013 onwards the structure can be considered as a relatively dense network compared to what have been reported for other fields, for example, strategic management (Koseoglu, 2016). The annual EIASM Workshops on TM starting 2012 seem to have contributed to that being the case.…”

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confidence: 92%

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Mapping collaboration networks in talent management research

Gallardo-Gallardo¹,

Moliner²,

Gallo³

2017

JOEPP

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Purpose (100 words): Despite the popularity of talent management (TM), very little has been published on the community of scholars that contribute to the knowledge base of the field. The aim of this paper is to disclose the dynamics in TM research through a detailed analysis of its evolving collaboration networks (i.e., research communities) in order to identify key authors and major topics covered.Design/Methodology/approach (100 words): A total of 225 co-authored articles published on TM from 2001 to May 2016 were retrieved from the Web of Science and Scopus and then analyzed and mapped using Social Network Analysis methods. Findings (100 words):We identified two major scientific communities (one of 63 authors and the other one of 24 authors). Both communities not only have different characteristics and structure, but also focus on different topics. We identified key players within each community and we offer a dynamic view on the main topics studied. Research implications:Our findings offer evidence on how collaborations among researchers shape the debates on the field. This can assist in drafting adequate strategies (at individual and discipline level) so as to help consolidate the field by encouraging new associations both in terms of actors involved and topics covered. Our study also offers a promising perspective for further using bibliometrics and social network analysis in TM research. Practical implications:This article may help practitioners and newcomers to the field to rapidly identify key players and main topics studied in TM field. It may assist academic institutions and journal editorial teams in better assessing and identifying key scholars in this field.Originality: This paper offers the first analysis of TM collaborative research networks.

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confidence: 92%

“…This is consistent with findings in others disciplines (cf. Koseoglu, 2016), pointing to collaboration in research as a significant aspect in scientific development.…”

Section: Resultsmentioning

confidence: 99%

Mapping collaboration networks in talent management research

Gallardo-Gallardo¹,

Moliner²,

Gallo³

2017

JOEPP

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“…The evolution of collaboration and networks, as well as the identification of key actors in a field, has increasingly attracted the interest of the academia, also among those researchers in the areas of business management and organization (Koseoglu 2016).…”

Section: Introductionmentioning

confidence: 99%

Understanding scientific communities: a social network approach to collaborations in Talent Management research

2017

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AND KEYWORDS AbstractResearch on Talent Management (TM) is an emerging field of study and little is known about the connections among authors in this research community. This paper aims at disclosing the dynamics in TM research by offering a detailed picture of its evolving collaboration networks. By means of Social Network Analysis (SNA), we both show and explain the extent of collaboration, taking articles' co-authorship as an indicator of collaboration. We graphically display how the network builds up throughout time, which has allowed us to examine its main structural characteristics. We analyze the contribution of individual researchers and identify key players in the research network and their characteristics. The co-authorship network is composed by loose and lowdensity collaborations, mainly consisting in two big components and surrounded by scattered and weak relationships. Two main research perspectives are built and consolidated through time, but they are missing the richness of exchanging ideas among different views. Our results complement recent studies on the dynamics of TM research by offering evidence on how and why collaboration among researchers shapes the current debates on the field. Some basic hypothesis about network indicators are also tested and provide further evidence for the Social Network Analysis advancement. The findings can be of value in the design of strategies that might improve both system and individual performance.

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“…Com o intuito de produzir melhor em menos tempo a coautoria foi instituída na produção de trabalhos científicos (NASCIMENTO, 2011). Uma coautoria ocorre quando dois autores publicam em conjunto um mesmo estudo (KOSEOGLU, 2016).…”

Section: Redes De Colaboração Científica E a Coautoriaunclassified