The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Data quality management, data usage experience and acquisition intention of big data analytics
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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
Institutionalized Organizations: Formal Structure as Myth and Ceremony
Meyer, J. W., & Rowan, B. (1977) · American Journal of Sociology · doi:10.1086/226550 · Cited by 28,308
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Strategic Factor Markets: Expectations, Luck, and Business Strategy
Barney, J. B. (1986) · Management Science · doi:10.1287/mnsc.32.10.1231 · Cited by 5,548
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Corporate reputation and sustained superior financial performance
Roberts, P. W., & Dowling, G. R. (2002) · Strategic Management Journal · doi:10.1002/smj.274 · Cited by 2,926
The Future of Resource-Based Theory: Revitalization or Decline?
Barney, J. B., Ketchen, D. J., & Wright, M. (2011) · Journal of Management · doi:10.1177/0149206310391805 · Cited by 1,525
Cited by
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
A survey on deep learning for big data
Zhang, Q., Yang, L. T., Chen, Z., & Li, P. (2018) · Information Fusion · doi:10.1016/j.inffus.2017.10.006 · Cited by 1,226
Big IoT data analytics: Architecture, opportunities, and open research challenges
(2017) · IEEE Access · doi:10.1109/access.2017.2689040 · Cited by 980
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
Metadata
- Authors
- Kwon, O., Lee, N., & Shin, B.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 34
- Issue
- 3
- Pages
- 387-394
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2008420823
- Cited by
- 718
- References
- 41
- FWCI
- 95.16
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Data quality management, data usage experience and acquisition intention of big data analytics. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2014.02.002
- The paper
- Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2014.02.002
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.
