Abstract

Manufacturing companies are currently undergoing a digitalization transformation in which digitally enabled, new, and innovative advanced service offerings are being launched. These so-called “digital services” represent a shift in the business logic of manufacturing firms, from up-front product sales to advanced service contracts. This business model shift has profound implications for cost structures, risk management, and revenue streams, providing manufacturing companies with the key challenge of rethinking how to capture value. Using a multiple case study of 11 companies, the purpose of this article is to enhance knowledge on how to design new revenue models for digital services. Results reveal a revenue model design framework of key phases and activities that carries implications for the emerging literature on digital servitization, as well as the business model innovation literature. The findings reveal a highly customer-centric, iterative, and agile process where close collaboration with key customers during the early stages guides the framing of revenue models for digital services. For practitioners, it provides hands-on advice on how to implement the design, development, and scaling processes for revenue models in the context of new digital services.

Highlights

  • IntroductionT HE EMERGENCE of digitalization has enabled the application of new digital technologies (such as artificial intelligence, Internet of Things, and big data analytics), which has fueled existing servitization initiatives [1], [2]

  • T HE EMERGENCE of digitalization has enabled the application of new digital technologies, which has fueled existing servitization initiatives [1], [2]

  • Servitization refers to the transformation whereby manufacturing firms create and capture value through advanced service offerings rather than the up-front sale of physical products [3]

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Summary

Introduction

T HE EMERGENCE of digitalization has enabled the application of new digital technologies (such as artificial intelligence, Internet of Things, and big data analytics), which has fueled existing servitization initiatives [1], [2]. These emerging and converging perspectives have gained research momentum under the heading of digital servitization [5], which refers to the provision of digital services embedded in a physical product [6]. This means that digital servitization transforms the processes, capabilities, and offerings within industrial firms. Manuscript received December 1, 2019; revised June 8, 2020 and November 18, 2020; accepted December 22, 2020. Review of this manuscript was arranged by Department Editor S.

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