The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The Nature of Slacktivism: How the Social Observability of an Initial Act of Token Support Affects Subsequent Prosocial Action
Abstract
Prior research offers competing predictions regarding whether an initial token display of support for a cause (such as wearing a ribbon, signing a petition, or joining a Facebook group) subsequently leads to increased and otherwise more meaningful contributions to the cause. The present research proposes a conceptual framework elucidating two primary motivations that underlie subsequent helping behavior: a desire to present a positive image to others and a desire to be consistent with one's own values. Importantly, the socially observable nature (public vs. private) of initial token support is identified as a key moderator that influences when and why token support does or does not lead to meaningful support for the cause. Consumers exhibit greater helping on a subsequent, more meaningful task after providing an initial private (vs. public) display of token support for a cause. Finally, the authors demonstrate how value alignment and connection to the cause moderate the observed effects.
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Javornik, A., Marder, B., Barhorst, J. B., McLean, G., Rogers, Y., Marshall, P., & Warlop, L. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107126 · Cited by 224
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Does “Liking” Lead to Loving? The Impact of Joining a Brand's Social Network on Marketing Outcomes
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The Strategic Helper: Narcissism and Prosocial Motives and Behaviors
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Metadata
- Authors
- Kristofferson, K., White, K., & Peloza, J.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-06
- Volume
- 40
- Issue
- 6
- Pages
- 1149-1166
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2098343396
- Cited by
- 458
- References
- 54
- FWCI
- 60.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
