The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
IT Capabilities, Process-Oriented Dynamic Capabilities, and Firm Financial Performance
Abstract
More and more publications are highlighting the value of IT in affecting business processes. Recognizing firm-level dynamic capabilities as key to improved firm performance, our work examines and empirically tests the influencing relationships among IT capabilities (IT personnel expertise, IT infrastructure flexibility, and IT management capabilities), process-oriented dynamic capabilities, and financial performance. Process-oriented dynamic capabilities are defined as a firm’s ability to change (improve, adapt, or reconfigure) a business process better than the competition in terms of integrating activities, reducing cost, and capitalizing on business intelligence/learning. They encompass a broad category of changes in the firm’s processes, ranging from continual adjustments and improvements to radical one-time alterations. Although the majority of changes may be incremental, a firm’s capacity for timely changes also implies its readiness to execute radical alterations when the need arises. Grounded on the theoretical position, we propose a research model and gather a survey data set through a rigorous process that retains research validity. From the analysis of the survey data, we find an important route of causality, as follows: IT personnel expertise -> IT management capabilities -> IT infrastructure flexibility -> process-oriented dynamic capabilities -> financial performance. Based on this finding, we discuss the main contributions of our study in terms of the strategic role of IT in enhancing firm performance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
Strategic assets and organizational rent
Amit, R., & Schoemaker, P. J. H. (1993) · Strategic Management Journal · doi:10.1002/smj.4250140105 · Cited by 8,425
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Reconceptualizing Organizational Routines as a Source of Flexibility and Change
Feldman, M. S., & Pentland, B. T. (2003) · Administrative Science Quarterly · doi:10.2307/3556620 · Cited by 4,020 · cited 1×
“IT personnel play a role in cultivating such IT management capabilities (Feldman & Pentland, 2003; Feldman, 2000).”
BackgroundThe productivity paradox of information technology
Brynjolfsson, E. (1993) · Communications of the ACM · doi:10.1145/163298.163309 · Cited by 2,604
Spanos, Y. E., & Lioukas, S. (2001) · Strategic Management Journal · doi:10.1002/smj.174 · Cited by 1,113
Cited by
Big data analytics and firm performance: Effects of dynamic capabilities
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J.-F., Dubey, R., & Childe, S. J. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.009 · Cited by 2,474
Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
How to improve firm performance using big data analytics capability and business strategy alignment?
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.08.018 · Cited by 1,624
Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020) · Business Process Management Journal · doi:10.1108/bpmj-10-2019-0411 · Cited by 1,280
Mikalef, P., & Pateli, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.09.004 · Cited by 1,038
Big data analytics capabilities: A systematic literature review and research agenda
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018) · Information Systems and e-Business Management · doi:10.1007/s10257-017-0362-y · Cited by 888
Schryen, G. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2012.45 · Cited by 420
Big data analytics capabilities and firm performance: an integrated MCDM approach
Yasmin, M., Tatoglu, E., Kilic, H. S., Zaim, S., & Delen, D. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.03.028 · Cited by 270
Dynamic information technology capability: Concept definition and framework development
Li, T. (., & Chan, Y. E. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2019.101575 · Cited by 151
Chatfield, A. T., & Reddick, C. G. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2017.11.002 · Cited by 141
Digitally transforming work styles in an era of infectious disease
Kodama, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102172 · Cited by 116
Mishra, D., Luo, Z., Hazen, B., Hassini, E., & Foropon, C. (2019) · Management Decision · doi:10.1108/md-03-2018-0324 · Cited by 87
Karaboga, T., Zehir, C., Tatoglu, E., Karaboga, H. A., & Bouguerra, A. (2023) · Review of Managerial Science · doi:10.1007/s11846-022-00596-8 · Cited by 76
Kumar, A., Bhattacharyya, S. S., & Krishnamoorthy, B. (2023) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2022-0307 · Cited by 34
Metadata
- Authors
- Konyang University, Kim, G., Shin, B., San Diego State University, Kim, K., Yonsei University, Lee, H., & Yonsei University
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2011-07
- Volume
- 12
- Issue
- 7
- Pages
- 487-517
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W102854459
- Cited by
- 441
- References
- 6
- FWCI
- 31.73
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
