Digital knowledge engineering for strategy development

Arnd Vomberg*, Evert de Haan, Nicolai Fabian, Thijs Broekhuizen

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

1 Citation (Scopus)

Abstract

This special issue focuses on digital knowledge engineering, where artificial intelligence (AI) emulates human judgment and behavior to create, organize, and implement knowledge bases. AI’s evolution from narrow applications to a versatile general-purpose technology (e.g., generative AI) marks a transformative era. This evolution reshapes industries, cultivates data-driven entities, and promises to revolutionize (business) relationships. Digital knowledge engineering precipitates a variety of outcomes: it affects individual practices, reshapes collaborative endeavors, and has the potential to contribute significantly to the advancement of a circular economy. However, companies must adeptly navigate digital knowledge engineering within their strategy development processes to realize these outcomes. They need to address challenges in the knowledge-creating process—data, technological, and informational aspects—and skillfully organize their design and governance. In this editorial, we integrate insights from the various research domains and the papers from this special issue, addressing the complexity of digital knowledge engineering. Furthermore, we present a comprehensive research framework and illuminate avenues for future exploration.
Original languageEnglish
Article number114632
Number of pages8
JournalJournal of Business Research
Volume177
Early online date4-Apr-2024
DOIs
Publication statusPublished - Apr-2024

Keywords

  • Artificial intelligence
  • Digital transformation
  • Generative AI
  • Knowledge engineering
  • Strategy

Fingerprint

Dive into the research topics of 'Digital knowledge engineering for strategy development'. Together they form a unique fingerprint.

Cite this