The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance
Abstract
This study investigates the influence of an ambidextrous supply chain strategy on manufacturers’ combinative competitive capabilities – the ability to excel simultaneously on competitive capabilities of quality, delivery, flexibility, and cost – and, in turn, on business performance. Drawing upon March's (1991) notions of exploration and exploitation, an ambidextrous supply chain strategy is conceptualized as a simultaneous pursuit of both explorative and exploitative supply chain practices. We operationalize this concept as a second‐order latent construct that captures the co‐variation between exploration and exploitation within the context of a manufacturer's supply chain management strategy. Using survey‐based data gathered from 174 U.S. manufacturers, we find that an ambidextrous supply chain strategy coincides with combinative competitive capabilities and business performance. Our empirical finding contradicts conventional wisdom that argues for tradeoffs between exploration and exploitation. Instead, our empirical results are in line with an emerging complementarity view advocating that supply chain managers build practices to gain operational efficiency while simultaneously searching for opportunities to gain operational advantages. In addition, we provide insights regarding the role of combinative capabilities in mediating the relationship between an ambidextrous supply chain strategy and business performance.
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Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
A test of missing completely at random for multivariate data with missing values
Little, R. J. A. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478722 · Cited by 8,963
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Core capabilities and core rigidities: A paradox in managing new product development
Leonard-Barton, D. (1992) · Strategic Management Journal · doi:10.1002/smj.4250131009 · Cited by 6,477
Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis
He, Z.-L., & Wong, P.-K. (2004) · Organization Science · doi:10.1287/orsc.1040.0078 · Cited by 3,737
Dess, G. G., & Robinson, R. B. (1984) · Strategic Management Journal · doi:10.1002/smj.4250050306 · Cited by 3,337
Process Analysis: Estimating Mediation in Treatment Evaluations
Judd, C. M., & Kenny, D. A. (1981) · Evaluation Review · doi:10.1177/0193841x8100500502 · Cited by 2,442
Reliability of Nominal Data Based on Qualitative Judgments
Perreault, W. D., & Leigh, L. E. (1989) · Journal of Marketing Research · doi:10.2307/3172601 · Cited by 1,575
Siggelkow, N., & Levinthal, D. A. (2003) · Organization Science · doi:10.1287/orsc.14.6.650.24870 · Cited by 953
Ancona, D. G., Goodman, P. S., Lawrence, B. S., & Tushman, M. L. (2001) · The Academy of Management Review · doi:10.2307/3560246 · Cited by 870
Cited by
Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018) · Information & Management · doi:10.1016/j.im.2017.09.004 · Cited by 318
Metadata
- Authors
- Kristal, M. M., Huang, X., & Roth, A. V.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2010-01-20
- Volume
- 28
- Issue
- 5
- Pages
- 415-429
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2018411381
- Cited by
- 489
- References
- 18
- FWCI
- 27.79
- Type
- journal article
- Language
- en
- Open access
- closed
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