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Communications of the Association for Information Systems, 2023, Vol.52, p.429-464
2023
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Details

Autor(en) / Beteiligte
Titel
MaCuDE IS Task Force Phase II Report: Views of Industry Leaders on Big Data Analytics and AI
Ist Teil von
  • Communications of the Association for Information Systems, 2023, Vol.52, p.429-464
Ort / Verlag
Atlanta: Association for Information Systems
Erscheinungsjahr
2023
Quelle
Business Source Ultimate【Trial: -2024/12/31】【Remote access available】
Beschreibungen/Notizen
  • This paper represents the Phase II report of the Management Curriculum for the Digital Era (MaCuDE) disciplinary task force on information systems (IS). Aligned with the current work of the AIS (Association for Information Systems) and ACM (Association for Computing Machinery), we focus on the current and future industry driven educational needs and requirements posed by big data analytics (BDA), artificial intelligence (AI), machine learning (ML), and related innovations. In this report, we probe and report on the views of industry leaders regarding BDA/AI education needs. We conducted 18 rich semi-structured interviews with a representative sample of industry leaders situated around key changes and issues related to workforce demands in digital transformation and associated educational needs. We performed a grounded theory based analysis of key themes in reported education needs. We note the shifting meaning of AI and BDA phenomena and identify three main organizational level needs for the digital era - capability improvement and transformation, decision-making strategies and tactics, and changes in operations or products - and connect them to three individual professional competencies necessary to deliver them: fundamental environmental competencies, data information and content, and system design competencies. Based on the analysis we outline several novel competency-based IS curriculum recommendations for the master's and undergraduate level IS education.
Sprache
Englisch
Identifikatoren
ISSN: 1529-3181
eISSN: 1529-3181
DOI: 10.17705/1CAIS.05217
Titel-ID: cdi_proquest_journals_2909646540

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