The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Absorptive Capacity and Information Systems Research: Review, Synthesis, and Directions for Future Research1
Abstract
Absorptive capacity is a firm’s ability to identify, assimilate, transform, and apply valuable external knowledge. It is considered an imperative for business success. Modern information technologies perform a critical role in the development and maintenance of a firm’s absorptive capacity. We provide an assessment of absorptive capacity in the information systems literature. IS scholars have used the absorptive capacity construct in diverse and often contradictory ways. Confusion surrounds how absorptive capacity should be conceptualized, its appropriate level of analysis, and how it can be measured. Our aim in reviewing this construct is to reduce such confusion by improving our understanding of absorptive capacity and guiding its effective use in IS research. We trace the evolution of the absorptive capacity construct in the broader organizational literature and pay special attention to its conceptualization, assumptions, and relationship to organizational learning. Following this, we investigate how absorptive capacity has been conceptualized, measured, and used in IS research. We also examine how absorptive capacity fits into distinct IS themes and facilitates understanding of various IS phenomena. Based on our analysis, we provide a framework through which IS researchers can more fully leverage the rich aspects of absorptive capacity when investigating the role of information technology in organizations.
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Cites
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Cited by
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611
“If AI technology is made available, the absorptive capacity of these owners ability to understand the potential is limited (Roberts, Galluch, Dinger, & Grover, 2012).”
BackgroundSynthesizing information systems knowledge: A typology of literature reviews
Paré, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. (2015) · Information & Management · doi:10.1016/j.im.2014.08.008 · Cited by 1,987
Creating Strategic Business Value from Big Data Analytics: A Research Framework
Grover, V., Chiang, R. H. L., Liang, T.-P., & Zhang, D. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1451951 · Cited by 961
Self-citationDigital technologies and firm performance: The role of digital organisational culture
Martínez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.119962 · Cited by 710
Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2017.04.001 · Cited by 535
Metadata
- Authors
- Roberts, N., Galluch, P. S., Dinger, M., & Grover, V.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2012-06-01
- Volume
- 36
- Issue
- 2
- Pages
- 625-648
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2105707339
- Cited by
- 551
- References
- 26
- FWCI
- 95.66
- 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).
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