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Coping With Paradox: Multistakeholder Learning Dialogue as a Pluralist Sensemaking Process for Addressing Messy Problems
Abstract
A notable feature of paradox is recognition that seemingly contradictory terms are inextricably intertwined and interrelated—holding out the hope that something new can be learned from the cognitive tension contained within. Aram has characterized the central concern of the business and society field as the paradox of interdependent relations. Our study argues that this and related paradoxes can be addressed by engaging with others and trying to gain shared insight via an interactive, developmental, exploratory sensemaking process that can inform the governance of stakeholder networks. We advocate multistakeholder learning dialogues (MSLDs) as a means for both scholars and practitioners to construct meanings that can guide joint efforts to cope with messy problems that help shape complex, paradoxical relationships within stakeholder networks.
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Cited by
Scherer, A. G., & Palazzo, G. (2011) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00950.x · Cited by 2,131
Contradictions, Dialectics, and Paradoxes in Organizations: A Constitutive Approach
Putnam, L. L., Fairhurst, G. T., & Banghart, S. (2016) · Academy of Management Annals · doi:10.5465/19416520.2016.1162421 · Cited by 1,116
Theorizing engagement: the potential of a critical dialogic approach
Bebbington, J., Brown, J., Frame, B., & Thomson, I. (2007) · Accounting, Auditing & Accountability Journal · doi:10.1108/09513570710748544 · Cited by 417
Gangi, F., Meles, A., D'Angelo, E., & Daniele, L. M. (2019) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.1699 · Cited by 331
Does Ownership Type Matter for Corporate Social Responsibility?
Dam, L., & Scholtens, B. (2012) · Corporate Governance: An International Review · doi:10.1111/j.1467-8683.2011.00907.x · Cited by 302
Metadata
- Authors
- Calton, J. M., & Payne, S. L.
- Venue
- Business & Society
- Publisher
- SAGE Publications
- Published
- 2003-03
- Volume
- 42
- Issue
- 1
- Pages
- 7-42
- ISSN
- 0007-6503 (ISSN-L)
- 1552-4205
- OpenAlex
- W2055806454
- Cited by
- 310
- References
- 87
- FWCI
- 16.13
- 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.