The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Comparative Longitudinal Analysis of Theoretical Perspectives of Interorganizational Relationship Performance
Abstract
Four theoretical perspectives currently dominate attempts to understand the drivers of successful interorganizational relationship performance: (1) commitment–trust, (2) dependence, (3) transaction cost economics, and (4) relational norms. Each perspective specifies a different set and distinct causal ordering of focal constructs as the most critical for understanding performance. Using four years of longitudinal data (N = 396), the authors compare the relative efficacy of these four perspectives for driving exchange performance and provide empirical insights into the causal ordering among key interorganizational constructs. The results demonstrate the parallel and equally important roles of commitment–trust and relationship-specific investments as immediate precursors to and key drivers of exchange performance. Building on the insights gleaned from tests of the four frameworks, the authors parsimoniously integrate these perspectives within a single model of interfirm relationship performance consistent with a resource-based view of an exchange. Managers may be able to increase performance by shifting resources from “relationship building” to specific investments targeted toward increasing the efficacy or effectiveness of the relationship itself to improve the relationship's ability to create value. Moderation analysis indicates that managers may find it productive to allocate more relationship marketing efforts and investments to exchanges in markets with higher levels of uncertainty.
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Cites
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
The use of pledges to build and sustain commitment in distribution channels
Anderson, E., & Weitz, B. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900103 · Cited by 3,431
Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901
Siguaw, J. A., Simpson, P. M., & Baker, T. L. (1998) · Journal of Marketing · doi:10.2307/1251746 · Cited by 766
Cited by
Toward the development of a big data analytics capability
Gupta, M., & George, J. F. (2016) · Information & Management · doi:10.1016/j.im.2016.07.004 · Cited by 1,445
The Role of Customer Gratitude in Relationship Marketing
Palmatier, R. W., Jarvis, C. B., Bechkoff, J. R., & Kardes, F. R. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.1 · Cited by 912
Self-citationResource-based theory in marketing
Kozlenkova, I. V., Samaha, S. A., & Palmatier, R. W. (2014) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-013-0336-7 · Cited by 882
Self-citationUniting the Tribes: Using Text for Marketing Insight
Berger, J., Humphreys, A., Ludwig, S., Moe, W. W., Netzer, O., & Schweidel, D. A. (2020) · Journal of Marketing · doi:10.1177/0022242919873106 · Cited by 742
Wetzel, H. A., Hammerschmidt, M., & Zablah, A. R. (2014) · Journal of Marketing · doi:10.1509/jm.12.0167 · Cited by 216
Metadata
- Authors
- Palmatier, R. W., Dant, R. P., & Grewal, D.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2007-10
- Volume
- 71
- Issue
- 4
- Pages
- 172-194
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2172015263
- Cited by
- 836
- References
- 6
- FWCI
- 52.54
- Type
- journal article
- Language
- en
- Open access
- closed
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