Profiting From Digital Transformation?: Combining Data Management and Artificial Intelligence

Ulrich Lichtenthaler
Additional contact information
Ulrich Lichtenthaler: ISM International School of Management, Germany

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2021, vol. 12, issue 5, 68-79

Abstract: Many companies have recently started digital transformation initiatives, and they now increasingly focus on artificial intelligence (AI). By means of smart algorithms and advanced analytics, firms attempt to leverage some of the results of their ongoing digital transformation initiatives, for example with regard to data about their established business operations. A conceptual framework underscores the need for combining data management and AI initiatives in order to ensure a firm's digital readiness and to realize digital business opportunities subsequently. An overview of recent trends further illustrates how different companies respond to these managerial challenges. This paper contributes to the literature on digitalization, AI, and ‘integrated intelligence' by highlighting the role of AI for leveraging data from digital transformation initiatives. Specifically, the use of AI applications helps companies to turn data into valuable knowledge and intelligence. In addition, this paper provides new knowledge about achieving superior performance in the digital economy.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/IJSSMET.2021090105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:12:y:2021:i:5:p:68-79

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().