Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal

In this qualitative study, we explore how incumbent firms in traditional industries build dynamic capabilities for digital transformation. Digital transformation has been defined as the use of new digital technologies, such as mobile, artificial intelligence, cloud, blockchain, and the Internet of things (IoT) technologies, to enable major business improvements to augment customer experience, streamline operations, or create new business models. In making sense of digital transformation, we discovered that leaders in various industry circles use the term inconsistently to describe various strategizing and organizing activities; in addition, the term has gained limited scholarly attention as a context for study of strategic change. Drawing on senior executives' experiences with leading digitalization projects at incumbent firms, we propose a process model comprising of nine microfoundations to reveal the generic contingency factors that trigger, enable, and hinder the building of dynamic capabilities for digital transformation. Our findings reveal that digital transformation is an ongoing process of using new digital technologies in everyday organizational life, which recognizes agility as the core mechanism for the strategic renewal of an organization's (1) business model, (2) collaborative approach, and eventually the (3) culture.     

The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models - A comparison between SMEs and large enterprises

Technological innovations often lead to redesigns in the business models of established companies, requiring them to incorporate new external knowledge into internal activities. Against this background, this study integrates the concepts of business model design, absorptive capacity, and innovation strategy into a novel research model, which analyzes the redesign of established business models in response to the emergence of Industry 4.0. Industry 4.0, also known as the Industrial Internet of Things, constitutes a contemporary research context that is highly relevant for corporate practice but scarcely regarded in management literature until now. The article contains an analysis of data from 221 German industrial enterprises, conducted through structural equation modeling, with separate data for small and medium-sized enterprises (SMEs) and large enterprises. First, the results indicate that the acquisition, assimilation, transformation, and exploitation of knowledge from the environment enable companies to engage in both exploratory and exploitative innovation strategies. Furthermore, the paper includes an evaluation of the role of exploratory and exploitative innovation strategies that reflects in efficiency-centered and novelty-centered business model designs. The distinct characteristics differentiating SMEs from large enterprises are also explained. The implications of absorptive capacity on innovation strategies, which influence the redesign of extant business models, are discussed from a research and managerial perspective.