Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence
By Jürgen Kai-Uwe Brock, Florian von Wangenheim. California Management Review, 2019
450 citations recorded by the source corpus.
Recent years have seen a reemergence of interest in artificial intelligence (AI) among both managers and academics. Driven by technological advances and public interest, AI is considered by some as an unprecedented revolutionary technology with the potential to transform humanity. But, at this stage, managers are left with little empirical advice on how to prepare and use AI in their firm’s operations. Based on case studies and the results of two global surveys among senior managers across industries, this article shows that AI is typically implemented and used with other advanced digital technologies in firms’ digital transformation projects. The digital transformation projects in which AI is deployed are mostly in support of firms’ existing businesses, thereby demystifying some of the transformative claims made about AI. This article then presents a framework for successfully implementing AI in the context of digital transformation, offering specific guidance in the areas of data, intelligence, being grounded, integrated, teaming, agility, and leadership.
Subfields: Economics and Econometrics, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/25ed9b44cf41e38b3917b8dfba34e90b5a707c0b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- S. Carter
- John S. Edwards
- Yanqing Duan
- Niall G. MacKenzie
- Yogesh Kumar Dwivedi
- Guangming Cao
- Dominic Chalmers
In Industrial and Manufacturing Engineering
Citations in the corpus
- Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “Since the early 2010s however, there has been a resurgence of interest in AI ( Brock & von Wangenheim, 2019).”
- Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, methodology): “…on using AI for organizational decision-making, conceptual AI studies indicated that using AI may lead to improved business decision-making (e.g. Brock and von Wangenheim, 2019; Dwivedi et al., 2021; McKinsey, 2017; Metcalf et al., 2019; Ransbotham et al., 2018) and performance (e.g. Duan et…”
- Digital transformation in business and management research: An overview of the current status quo (2022, unknown): “…2021; Osterlie & Monteiro, 2020; Saarikko, Westergren, & Blomquist, 2020; Sandberg, Holmstrom, & Lyytinen, 2020), artificial intelligence (e.g., Brock & von Wangenheimz, 2019; Harwood & Eaves, 2020; Kronblad, 2020b, 2020a; Magistretti, Dell ’ Era, & Petruzzelli, 2019; Rodriguez-Lluesma,…”