The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
‘Datafication’: making sense of (big) data in a complex world
Open accessAbstract
Business Intelligence (BI) is a topic of growing importance for both industry and academia. Although still viewed from its technology roots, it is slowly broadening to encompass the data infrastruc...
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Cites
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
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
Sharma, R., Mithas, S., & Kankanhalli, A. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.17 · Cited by 516
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Big data consumer analytics and the transformation of marketing
Erevelles, S., Fukawa, N., & Swayne, L. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.07.001 · Cited by 1,377
Debating big data: a literature review on realizing value from big data
Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.003 · Cited by 880
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
University of Virginia, Abbasi, A., Sarker, S., University of Virginia, Aalto University, Chiang, R., & University of Cincinnati (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00423 · Cited by 688
Sharma, R., Mithas, S., & Kankanhalli, A. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.17 · Cited by 516
The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity
Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2019) · Journal of Business Ethics · doi:10.1007/s10551-019-04204-w · Cited by 347
Digitalizing procurement: The impact of data analytics on supply chain performance
Hallikas, J., Immonen, M., & Brax, S. (2021) · Supply Chain Management: An International Journal · doi:10.1108/scm-05-2020-0201 · Cited by 218
How Organisations Leverage Big Data: A Maturity Model
Comuzzi, M., & Patel, A. (2016) · Industrial Management & Data Systems · doi:10.1108/imds-12-2015-0495 · Cited by 191
Eling, M., Nuessle, D., & Staubli, J. (2022) · The Geneva Papers on Risk and Insurance Issues and Practice · doi:10.1057/s41288-020-00201-7 · Cited by 156
“2016; Lycett 2013).”
Wang, Z., Wang, N., Su, X., & Ge, S. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.09.002 · Cited by 134
When culture meets digital platforms: value creation and stakeholders’ alignment in big data use
Pesce, D., Neirotti, P., & Paolucci, E. (2019) · Current Issues in Tourism · doi:10.1080/13683500.2019.1591354 · Cited by 105
The Making of Data Commodities: Data Analytics as an Embedded Process
Aaltonen, A., Alaimo, C., & Kallinikos, J. (2021) · Journal of Management Information Systems · doi:10.1080/07421222.2021.1912928 · Cited by 95
Education and training for successful career in big data and business analytics
Dubey, R., & Gunasekaran, A. (2015) · Industrial and Commercial Training · doi:10.1108/ict-08-2014-0059 · Cited by 94
Galliers, R. D., Newell, S., Shanks, G., & Topi, H. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.08.002 · Cited by 70
Predicting online shopping cart abandonment with machine learning approaches
Rausch, T. M., Derra, N. D., & Wolf, L. (2022) · International Journal of Market Research · doi:10.1177/1470785320972526 · Cited by 36
Sarra, C. (2020) · Global Jurist · doi:10.1515/gj-2020-0003 · Cited by 24
Marjanovic, O., Cecez-Kecmanovic, D., & Vidgen, R. (2018) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-030-04091-8_4 · Cited by 15
Metadata
- Authors
- Lycett, M.
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2013-07
- Volume
- 22
- Issue
- 4
- Pages
- 381-386
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W1966998110
- Cited by
- 421
- References
- 3
- FWCI
- 41.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.