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From Theory to Practice: Critical Factors in AI Implementation
By investigating major trends in the literature on artificial intelligence, this article provides an up-to-date, structured overview of AI applications in the business context. In particular, it explores the most influential factors in AI implementation, divided into five main areas: drivers for adoption, skills needed for implementation, risks and challenges, key business processes where AI is applied, ...
Replace, Add, Augment: A Possible Classification Framework for AI Marketing
Introduction The development of artificial intelligence, and in particular generative AI (GenAI), has turbocharged the transformation of marketing processes. But what exactly is GenAI? Let’s start by defining AI. The most common view in the literature describes it as the set of technologies, algorithms, and models (that is, machines broadly defined) designed to emulate human functions such as learning, ...
Managers of Tomorrow: Rethinking Education in the Age of AI
Management education has undergone a profound transformation over time, adapting to the economic, technological, and social dynamics of the exogenous environment and moving from a traditional approach, based on theory and hierarchy, to a more dynamic model incorporating new technologies. In this sense, the evolution of management education not only reflects changes in the world of work. It’s also ...
Benefits, Risks, and Future Perspectives. The Role of AI in Management Control
In many companies, management control is still perceived as a highly technological and standardized production process. But it’s often more focused on generating outputs than on how management will actually use them. What’s more, despite being a fundamental function, it’s not yet fully understood or valued. There’s too much operational workload, too much perceived distance from the business, ...
Digital Performance Management: New Tools, Old Challenges
Each new wave of digital technology typically triggers a torrent of hype, driven by inflated expectations about the innovation’s benefits. In response, scholars and managers often split into two camps: those who embrace change with little scrutiny, and those who adopt a more measured approach, emphasizing careful experimentation, practical application, and phased adoption (especially critical in ...