Environmental Demands and the Emergence of Social Structure.
Saved in:
| Title: | Environmental Demands and the Emergence of Social Structure. |
|---|---|
| Authors: | Tatarynowicz, Adam1, Sytch, Maxim2, Gulati, Ranjay3 |
| Source: | Administrative Science Quarterly. Mar2016, Vol. 61 Issue 1, p52-86. 35p. 4 Diagrams, 6 Charts, 3 Graphs. |
| Subject Terms: | Social structure, Interorganizational networks, Intelligent agents, Microelectronics, Value creation |
| Abstract: | This study investigates the origins of variation in the structures of interorganizational networks across industries. We combine empirical analyses of existing interorganizational networks in six industries with an agent-based simulation model of network emergence. Using data on technology partnerships from 1983 to 1999 between firms in the automotive, biotechnology and pharmaceuticals, chemicals, microelectronics, new materials, and telecommunications industries, we find that differences in technological dynamism across industries and the concomitant demands for value creation engender variations in firms’ collaborative behaviors. On average, firms in technologically dynamic industries pursue more-open ego networks, which fosters access to new and diverse resources that help sustain continuous innovation. In contrast, firms in technologically stable industries on average pursue more-closed ego networks, which fosters reliable collaboration and helps preserve existing resources. We show that because of the observed cross-industry differences in firms’ collaborative behaviors, the emergent industry-wide networks take on distinct structural forms. Technologically stable industries feature clan networks, characterized by low network connectedness and rather strong community structures. Technologically dynamic industries feature community networks, characterized by high network connectedness and medium-to-strong community structures. Convention networks, which feature high network connectedness and weak community structures, were not evident among the empirical networks we examined. Taken together, our findings advance an environmental contingency theory of network formation, which proposes a close association between the characteristics of actors’ environment and the processes of network formation among actors. [ABSTRACT FROM AUTHOR] |
| Copyright of Administrative Science Quarterly is the property of Administrative Science Quarterly and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 112802348 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Environmental Demands and the Emergence of Social Structure. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tatarynowicz%2C+Adam%22">Tatarynowicz, Adam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sytch%2C+Maxim%22">Sytch, Maxim</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gulati%2C+Ranjay%22">Gulati, Ranjay</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Administrative+Science+Quarterly%22">Administrative Science Quarterly</searchLink>. Mar2016, Vol. 61 Issue 1, p52-86. 35p. 4 Diagrams, 6 Charts, 3 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Social+structure%22">Social structure</searchLink><br /><searchLink fieldCode="DE" term="%22Interorganizational+networks%22">Interorganizational networks</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Microelectronics%22">Microelectronics</searchLink><br /><searchLink fieldCode="DE" term="%22Value+creation%22">Value creation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study investigates the origins of variation in the structures of interorganizational networks across industries. We combine empirical analyses of existing interorganizational networks in six industries with an agent-based simulation model of network emergence. Using data on technology partnerships from 1983 to 1999 between firms in the automotive, biotechnology and pharmaceuticals, chemicals, microelectronics, new materials, and telecommunications industries, we find that differences in technological dynamism across industries and the concomitant demands for value creation engender variations in firms’ collaborative behaviors. On average, firms in technologically dynamic industries pursue more-open ego networks, which fosters access to new and diverse resources that help sustain continuous innovation. In contrast, firms in technologically stable industries on average pursue more-closed ego networks, which fosters reliable collaboration and helps preserve existing resources. We show that because of the observed cross-industry differences in firms’ collaborative behaviors, the emergent industry-wide networks take on distinct structural forms. Technologically stable industries feature clan networks, characterized by low network connectedness and rather strong community structures. Technologically dynamic industries feature community networks, characterized by high network connectedness and medium-to-strong community structures. Convention networks, which feature high network connectedness and weak community structures, were not evident among the empirical networks we examined. Taken together, our findings advance an environmental contingency theory of network formation, which proposes a close association between the characteristics of actors’ environment and the processes of network formation among actors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Administrative Science Quarterly is the property of Administrative Science Quarterly and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=112802348 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/0001839215609083 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 52 Subjects: – SubjectFull: Social structure Type: general – SubjectFull: Interorganizational networks Type: general – SubjectFull: Intelligent agents Type: general – SubjectFull: Microelectronics Type: general – SubjectFull: Value creation Type: general Titles: – TitleFull: Environmental Demands and the Emergence of Social Structure. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tatarynowicz, Adam – PersonEntity: Name: NameFull: Sytch, Maxim – PersonEntity: Name: NameFull: Gulati, Ranjay IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Mar2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 00018392 Numbering: – Type: volume Value: 61 – Type: issue Value: 1 Titles: – TitleFull: Administrative Science Quarterly Type: main |
| ResultId | 1 |