Collecting survey-based social network information in work organizations
dc.contributor.author | Agneessens, F | |
dc.contributor.author | Labianca, GJ | |
dc.date.accessioned | 2021-05-04T06:46:44Z | |
dc.date.issued | 2021-04-30 | |
dc.description.abstract | Collecting social network data among organization members using surveys is challenging and requires a well-considered strategy. Based on extensive past experience with collecting social network information in work organizations with surveys, we identify and discuss four major elements of the data collection process, all linked with and dependent on the specific research question and objective: 1) negotiating access to the organization; 2) identifying the network’s boundary, the relevant formal organizational structures that affect social networks, and the sampling approach; 3) deciding how to approach research subjects and collect network data; and, 4) providing useful and ethically-sensitive feedback to the organization and its members. Decisions on each of these elements and their co-alignment, particularly with respect to the chosen research question, is crucial to a successful study. We offer guidelines and provide examples for each of these elements. | en_GB |
dc.identifier.citation | Vol. 68, pp. 31 - 47 | en_GB |
dc.identifier.doi | 10.1016/j.socnet.2021.04.003 | |
dc.identifier.uri | http://hdl.handle.net/10871/125527 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | survey | en_GB |
dc.subject | organisations | en_GB |
dc.subject | data collection | en_GB |
dc.subject | methodology | en_GB |
dc.title | Collecting survey-based social network information in work organizations | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-05-04T06:46:44Z | |
dc.identifier.issn | 0378-8733 | |
dc.description | This is the final version. Available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Social Networks | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-04-30 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-05-04T06:44:51Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2021-05-04T06:46:48Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license: https://creativecommons.org/licenses/by-nc-nd/4.0/