Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies
By Ilias O. Pappas, Patrick Mikalef, Michail N. Giannakos, John Krogstie, George Lekakos. Information Systems and E-Business Management, 2018
357 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Information Systems, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/08f767340bedd7d63523dab0816b0fcc612d1ee2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Yogesh Kumar Dwivedi
- John S. Edwards
- Yanqing Duan
- John Krogstie
- Patrick Mikalef
- Arpan Kumar Kar
- Guangming Cao
In Information Systems
- John S. Edwards
- Yanqing Duan
- Rosa Palladino
- Nripendra P. Rana
- John Krogstie
- Yogesh Kumar Dwivedi
- Paul A. Pavlou
- Michael D. Williams
In Management Information Systems
- Patrick Mikalef
- John Krogstie
- Yogesh Kumar Dwivedi
- Ilias O. Pappas
- Nripendra P. Rana
- Banita Lal
- Paul A. Pavlou
- Michael D. Williams
Citations in the corpus
- The role of digital innovation in knowledge management systems: A systematic literature review (2021, methodology): “This has a significant impact on performance (Huesig & Endres, 2019; Pappas et al., 2018; Raut et al., 2019), because IoT raises the levels of knowledge in a prognostic and holistic sense (Rodríguez-Rodríguez, Rodríguez, Elizondo-Moreno, Heras-Gonz ´ alez, & Gentili, 2020), allowing the company to…”
- Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, background): “…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).”
- Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2021, unknown): “…investigated whether and the extent to which BDAC impact on the capacity of a firm to innovate its BM. Recent empirical literature has recognised how BDAC facilitate innovations in different business contexts (Fosso Wamba et al., 2017; Hooi et al., 2018; Mikalef et al., 2019; Pappas et al., 2018).”
- Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “Concerning human skills, literature recognizes that both technical-and managerial-or-iented skills are required to derive value from big data investments [6,37].”
- Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, methodology): “…approach using fuzzy set qualitative comparative analysis (fsQCA) (Ragin, 2008; Ragin and Davey, 2016) has attracted increased attention, as demonstrated in behavioral research (e.g. Pappas, 2018; Pappas et al., 2020) and research on the use of AI-enabled systems (Papamitsiou et al., 2020).”