Who Is on LinkedIn? Self-selection into Professional Online Networks

Steffen Brenner*, Sezen Aksin Sivrikaya, Joachim Schwalbach

*Kontaktforfatter af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

We analyze a large data set of fully employed individuals gathered through incentive-compatible surveys to study who joins professional social network sites (SNS) such as LinkedIn. We test the conflicting predictions that a) individuals who are unsatisfied with their career status adversely select into professional SNS in order to reap marginal online network benefits vs. b) high status individuals positively select into these networks because they are more likely to receive invitations to join. Our tests support b) and reject a). Similar estimations for private SNS (e.g., Facebook) reveal that the observed effects are specific to professional SNS and hence not driven by unobserved differences in social capital or the affinity to use social media. We also detect that environments conducive of professional social interactions increase the likelihood to use professional SNS. Controlling for sample selection bias does not qualitatively change the results.
OriginalsprogEngelsk
TidsskriftApplied Economics
Vol/bind52
Udgave nummer1
Sider (fra-til)52-67
Antal sider16
ISSN0003-6846
DOI
StatusUdgivet - jan. 2020

Bibliografisk note

Published online: 4. July, 2019

Emneord

  • Adverse selection
  • Endogenous group formation
  • Social online networks

Citer dette

Brenner, Steffen ; Sivrikaya, Sezen Aksin ; Schwalbach, Joachim. / Who Is on LinkedIn? Self-selection into Professional Online Networks. I: Applied Economics. 2020 ; Bind 52, Nr. 1. s. 52-67.
@article{144db9fd7ce549a0881b89fdb3d27f22,
title = "Who Is on LinkedIn? Self-selection into Professional Online Networks",
abstract = "We analyze a large data set of fully employed individuals gathered through incentive-compatible surveys to study who joins professional social network sites (SNS) such as LinkedIn. We test the conflicting predictions that a) individuals who are unsatisfied with their career status adversely select into professional SNS in order to reap marginal online network benefits vs. b) high status individuals positively select into these networks because they are more likely to receive invitations to join. Our tests support b) and reject a). Similar estimations for private SNS (e.g., Facebook) reveal that the observed effects are specific to professional SNS and hence not driven by unobserved differences in social capital or the affinity to use social media. We also detect that environments conducive of professional social interactions increase the likelihood to use professional SNS. Controlling for sample selection bias does not qualitatively change the results.",
keywords = "Adverse selection, Endogenous group formation, Social online networks, Adverse selection, Endogenous group formation, Social online networks",
author = "Steffen Brenner and Sivrikaya, {Sezen Aksin} and Joachim Schwalbach",
note = "Published online: 4. July, 2019",
year = "2020",
month = "1",
doi = "10.1080/00036846.2019.1638497",
language = "English",
volume = "52",
pages = "52--67",
journal = "Applied Economics",
issn = "0003-6846",
publisher = "Routledge",
number = "1",

}

Who Is on LinkedIn? Self-selection into Professional Online Networks. / Brenner, Steffen; Sivrikaya, Sezen Aksin; Schwalbach, Joachim.

I: Applied Economics, Bind 52, Nr. 1, 01.2020, s. 52-67.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Who Is on LinkedIn? Self-selection into Professional Online Networks

AU - Brenner, Steffen

AU - Sivrikaya, Sezen Aksin

AU - Schwalbach, Joachim

N1 - Published online: 4. July, 2019

PY - 2020/1

Y1 - 2020/1

N2 - We analyze a large data set of fully employed individuals gathered through incentive-compatible surveys to study who joins professional social network sites (SNS) such as LinkedIn. We test the conflicting predictions that a) individuals who are unsatisfied with their career status adversely select into professional SNS in order to reap marginal online network benefits vs. b) high status individuals positively select into these networks because they are more likely to receive invitations to join. Our tests support b) and reject a). Similar estimations for private SNS (e.g., Facebook) reveal that the observed effects are specific to professional SNS and hence not driven by unobserved differences in social capital or the affinity to use social media. We also detect that environments conducive of professional social interactions increase the likelihood to use professional SNS. Controlling for sample selection bias does not qualitatively change the results.

AB - We analyze a large data set of fully employed individuals gathered through incentive-compatible surveys to study who joins professional social network sites (SNS) such as LinkedIn. We test the conflicting predictions that a) individuals who are unsatisfied with their career status adversely select into professional SNS in order to reap marginal online network benefits vs. b) high status individuals positively select into these networks because they are more likely to receive invitations to join. Our tests support b) and reject a). Similar estimations for private SNS (e.g., Facebook) reveal that the observed effects are specific to professional SNS and hence not driven by unobserved differences in social capital or the affinity to use social media. We also detect that environments conducive of professional social interactions increase the likelihood to use professional SNS. Controlling for sample selection bias does not qualitatively change the results.

KW - Adverse selection

KW - Endogenous group formation

KW - Social online networks

KW - Adverse selection

KW - Endogenous group formation

KW - Social online networks

UR - https://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=954921335041&rft.object_portfolio_id=&svc.holdings=yes&svc.fulltext=yes

U2 - 10.1080/00036846.2019.1638497

DO - 10.1080/00036846.2019.1638497

M3 - Journal article

AN - SCOPUS:85068607343

VL - 52

SP - 52

EP - 67

JO - Applied Economics

JF - Applied Economics

SN - 0003-6846

IS - 1

ER -