Abstract

Significant advancements within the fields of digitalization, electrification, and automation have enabled the development, testing, and implementation of increasingly advanced autonomous solutions. Current examples of industrial automation promise significant economic and sustainability-oriented benefits for industrial customers. Yet, implemented autonomous solutions have rarely advanced beyond ‘islands of autonomy’. Although enabling initial improvements in the efficiency and effectiveness of operations, they have not led to the systemic process improvements that fully integrated site-wide solutions can achieve. It is becoming increasingly clear that the major challenges in this shift extend beyond technology to focus on business transformation and ecosystem relationships. Yet, extant research offers few insights into these domains. There is a need to develop a business-focused maturity framework for autonomous solutions to contribute to a predominantly technical discourse and support equipment actors and their wider ecosystems in commercializing autonomous solutions. Thus, the purpose of this paper is to investigate how industrial equipment manufacturers can align the development of technology, business models and ecosystem relationships for the advancement of autonomous solutions. We build on case studies that include 32 interviews from four industrial equipment manufacturers and their extended ecosystems of customers and partners. We capture our findings in a three-level maturity framework for industrial autonomous solutions. This framework unwraps the attributes of each level from the perspectives of technical system development, ecosystem configuration, and business model design and is complemented by three overarching principles for the successful commercialization of autonomous solutions.

Highlights

  • Industrial equipment manufacturers are facing a huge shift due to rapid technological development and innovation in the areas of automation, International Entrepreneurship and Management Journal electrification and digitalization

  • We developed the following research question: How can industrial equipment manufacturers align the development of technology, business models and ecosystem relationships for the advancement of autonomous solutions? To answer this question, we build on insights drawn from interviews with 32 informants from multiple case studies in four industrial equipment manufacturers in Sweden that are engaged in the development and provision of autonomous solutions

  • Our findings show that key activities are split across the three dimensions of technology development, ecosystem configuration, and business model design that evolve over three maturity levels of autonomous solutions

Read more

Summary

Introduction

Industrial equipment manufacturers are facing a huge shift due to rapid technological development and innovation in the areas of automation (i.e. self-driving vehicles), International Entrepreneurship and Management Journal electrification (i.e. battery propulsion) and digitalization (i.e. data, connectivity, and analytics). Rapid technological advancements under the fourth industrial revolution are redefining the pace and scope of change in processes, capabilities, and offerings, creating innovation opportunities through the digital servitization of industrial firms and their ecosystems, which is reflected in a transition from product to service provision (Kamalaldin et al 2020; Sjödin et al 2020a). Improved communication and connectivity through the proliferation of IoT (Internet of Things) devices, cloud computing, and big data are pushing the development of digitally enabled services (Hasselblatt et al 2018; Paiola and Gebauer 2020; Paschou et al 2020). Autonomous vehicles are an example of a digitally enabled service, where a wide array of sensor, communication, and computational resources complemented by new business services are being integrated to enable autonomous operation

Objectives
Methods
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call