The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies
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Cites
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
The resource-based theory of competitive advantage: Implications for strategy formulation
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Business intelligence and analytics: from big data to big impact
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Creating Shared Value: How to Reinvent Capitalism—And Unleash a Wave of Innovation and Growth
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Big data: a revolution that will transform how we live, work, and think
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Research works printed but not linked: 6
- Davenport TH, Patil D (2012) Data scientist: The Sexiest Job of the 21st Century. Harvard Bus Rev 90(5):70–76
- De Mauro A, Greco M, Grimaldi M, Nobili G (2016) Beyond data scientists: a review of big data skills and job families. In: Proceedings of IFKAD, pp 1844–1857
- Etzkowitz H, Carvalho de Mello JM (2004) The rise of a triple helix culture: innovation in Brazilian economic and social development. Int J Technol Manag Sustain Dev 2(3):159–171 · doi:10.1386/ijtm.2.3.159/1
- Hoffman A (2018) The next phase of business sustainability. Stanford Social Innovation Review, Spring 2018 · DOI
- Ng A (2018) How artificial intelligence and data add value to businesses. McKinsey Global Institute, New York
- Zicari RV (2014) Big data: challenges and opportunities. In: Akerkar R (ed) Big data computing. Chapman and Hall/CRC, Boca Raton, pp 103–128
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
“…generally is yet to fully grasp many of the ethical and economic considerations associated with AI and big data and its wider impact on human life, culture, sustainability and technological transformation (Duan, Edwards, & Dwivedi, 2019; Pappas, Mikalef, Giannakos, Krogstie, & Lekakos, 2018).”
BackgroundMikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020) · Information & Management · doi:10.1016/j.im.2019.05.004 · Cited by 1,373
“Concerning human skills, literature recognizes that both technical-and managerial-or-iented skills are required to derive value from big data investments [6,37].”
BackgroundSelf-citationUnderstanding 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
Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102225 · Cited by 760
Big data analytics and firm performance: Findings from a mixed-method approach
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.044 · Cited by 722
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Metadata
- Authors
- Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G.
- Venue
- Information Systems and e-Business Management
- Published
- 2018-08
- Volume
- 16
- Issue
- 3
- Pages
- 479-491
- ISSN
- 1617-9846 (ISSN-L)
- 1617-9854
- OpenAlex
- W2899017743
- Cited by
- 423
- References
- 40
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-10-04)
- Open access
- bronze
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2018). Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. Information Systems and e-Business Management. https://doi.org/10.1007/s10257-018-0377-z
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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.
