Strategic networking: how highly skilled professionals can best use their networks to drive innovation

DOI

A better understanding of the purpose and sequence network connections is critical to help individuals and organizations deliver the next generation of innovations. Focusing on highly skilled professionals who work on creative tasks, the study seeks to understand differences in how individuals use their professional networks and examines which network strategies are most effective to develop innovations. As such, this study aims to bring to the surface the unwritten ‘user manual’ of networks, examining how this manual may be different for diverse sets of individuals and diverse types of innovation. To achieve these goals, the project involves collaboration with several corporate partners and uses a novel toolkit of methods including an online network monitoring tool to obtain longitudinal, contextualized network data. The collection consisted therefore of interview and survey data from corporate research data. However, this project's primary data is not deposited due to confidentiality issues. People’s professional networks have been shown to influence creativity, innovation and career success. Existing research at the interface of networks and innovation has shown that certain network configurations are associated with innovative outcomes, but overlooks two fundamental properties of networks. First, most studies map an individual’s network without much reference to when individuals use certain contacts and what for. Second, no work has addressed how individuals might differ in terms of the sequence in which they ‘activate’ network connections.

Interviews and survey in collaboration with corporate partners. As indicated in the funding application, data collected from industrial partners is of a confidential nature. Confidentiality agreements with corporate partners do not allow any data collected as part of the agreement to be deposited in public databases or otherwise shared with any third parties not directly involved in the study.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-852059
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=b6be7ffcefd996436812a3bebcf48b85fd63500fd079b9221d8dc09a38e2073d
Provenance
Creator ter Wal, L, Imperial College Business School
Publisher UK Data Service
Publication Year 2015
Funding Reference ESRC
Rights Leendert Johannes ter Wal, Imperial College Business School; The Data Collection is available for download to users registered with the UK Data Service.
OpenAccess true
Representation
Language English
Resource Type Numeric; Text
Discipline Social Sciences
Spatial Coverage United Kingdom; United Kingdom; United States