Naomi Haefner

• Doctor of Philosophy
• Assistant Professor of Technology Management at University of St. Gallen

Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and th...

Digital health and digital pharma are considered supportive tools for patients and healthcare providers (HCPs), making the market highly attractive for industry players. Not surprisingly, Tech Giants have started to move into this area. We utilized established management models and publicly available information sources, such as annual company repo...

With a growing number of connected devices producing exponentially more data, the value of artificial intelligence and machine learning (AI/ML) is increasing rapidly for businesses. We outline the value add of AI/ML for decision-making in firms and present use cases and tools to generate data-driven value. We discuss various implementation challeng...

Are stakeholder management and innovation substitutes or complements in affecting firm performance? Extant research provides support for both positions and thus leaves us with a puzzle. We conduct an exploratory fuzzy set qualitative comparative analysis (fsQCA) of 204 publicly listed European firms combining survey and archival data to formulate t...

Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management....

The Behavioral Theory of the Firm (BTF; Cyert & March, 1963) has, essentially since its inception, been intimately linked with AI. However, since the original pioneering work by behavioral theorists on the importance of AI for our understanding of the functioning of organizations, great strides have been made in AI technologies. Hence, the time is...

As SMEs increasingly internationalize their innovation activities, our study strives to improve our understanding of the coordination mechanisms that SMEs can adopt to orchestrate these activities. Building on the evolutionary theory of organizations, we link three established coordination mechanisms (centralization, formalization, and socializatio...

We examine decision-making structures in terms of their openness to information outside the immediate decision-making arena. Thus, we address a core topic of interest to multidivisional firms, which face strategic scope and boundary decisions. Their complex hierarchies and subunit specialization tend to discourage comprehensive decisions; a problem...