In this article we provide a systematic review of the extensive yet diverse and fragmented
literature on digital transformation (DT), with the goal of clarifying boundary conditions to …

Digital technologies are changing the nature of teamwork in ways that have important
implications for leadership. Though conceptually rich and multi-disciplinary, much of the …

Artificial intelligence (AI) has been heralded by many as the next source of business value.
Grounded on the resource-based theory of the firm and on recent work on AI at the …

Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0
proclaims transition to digitalization and automation of processes while emerging Industry …

Manufacturing incumbents find it difficult to integrate AI in their traditional business models.
This paper draws on the research question: How does manufacturing incumbents use AI for …

This article explores the ways artificial intelligence (AI) may impact new venture processes,
practices and outcomes. We examine how such technology will augment and replace tasks …

We explore the underlying mechanisms and institutional conditions of profiting from digital
innovation in the context of manufacturing firms. Building on affordance theory, we propose …

Abstract Business-to-business (B2B) customer interactions and customer journeys
increasingly occur in digital spaces, often aided with diverse digital and artificial intelligence …

Artificial Intelligence (AI) is viewed as having potential for significant economic and social
impact. However, its history of boom and bust cycles can make potential adopters wary. A …

Purpose The purpose of this paper is to review literature about the applications of artificial
intelligence (AI) in strategic situations and identify the research that is needed in the area of …