Avoiding the Diffusion of Responsibility in Social Networking Groups: A Field Experiment on Responses to Online Help-Request Referrals

Nan Feng, Zhongtao Hu*, Yi Wu*, Ben Choi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Help-request referral (HRR) campaigns are being increasingly adopted by online service providers to attract online traffic and engage new users. In these campaigns, participants are required to collect a specific amount of help from their social network in exchange for attractive rewards. Participants often face challenges in obtaining positive feedback from their social networking groups due to the diffusion of responsibility. Based on the triangle model of responsibility, this study proposes and empirically tests a research model that examines two key determinants (i.e., request personalization and relational closeness) of recipients’ perceived responsibility that further shape their responses to HRR. Our field experiment empirically supports the research hypotheses. Overall, this study enriches the literature on online social referrals by focusing on HRR, where social referrals are broadcasted and senders reap referral benefits. The study also provides practical insights for HRR designers and social networking service providers.

Original languageEnglish
Article number6
Pages (from-to)430-451
Number of pages22
JournalJournal of the Association for Information Systems
Volume24
Issue number2
DOIs
Publication statusPublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 by the Association for Information Systems.

ASJC Scopus Subject Areas

  • Information Systems
  • Computer Science Applications

Keywords

  • Endorsing
  • Help-Request Referral Campaign
  • Helping
  • Perceived Responsibility
  • Relational Closeness
  • Request Personalization
  • Triangle Model of Responsibility

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