The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Alliance Portfolio Resource Diversity and Firm Innovation
Open accessAbstract
As interfirm collaboration plays an increasingly important role in firm innovation, many firms are engaged in multiple partnerships, forming portfolios of alliances. Research in marketing has predominantly focused on dyadic relationships without considering the important interdependencies among different alliances. This study takes a portfolio approach to examine the resource diversity of multiple alliance partners and its contribution to firm innovation. The authors argue that resource diversity in an alliance portfolio can only benefit innovation when resources and information are shared across alliances. They examine factors that may facilitate or inhibit information and resource sharing across alliances and thus influence the realization of any benefit of portfolio resource diversity. The model identifies various factors along three dimensions, including the composition of an alliance portfolio, alliance management, and the market environment, that moderate the relationship between alliance portfolio resource diversity and firm innovation. This study not only demonstrates the conditions for a firm to benefit from diverse partners but also highlights the importance of coordination among different alliances, suggesting a portfolio approach for alliance research.
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Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model
Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120880 · Cited by 825
What Determines AI Adoption in Companies? Mixed-Method Evidence
Polisetty, A., Chakraborty, D., G, S., Kar, A. K., & Pahari, S. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2023.2219668 · Cited by 128
Arunachalam, S., Ramaswami, S. N., Herrmann, P., & Walker, D. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0574-1 · Cited by 123
Metadata
- Authors
- Cui, A. S., & O'Connor, G.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2012-07
- Volume
- 76
- Issue
- 4
- Pages
- 24-43
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2051795272
- Cited by
- 262
- References
- 79
- FWCI
- 48.79
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
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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.