Servitization 4.0 as a Trigger for Sustainable Business: Evidence from Automotive Digital Supply Chain

Abstract

The COVID-19 pandemic strengthens the use of digital services in the supply chains of manufacturers and suppliers in the automotive industry. Furthermore, the digitalization of the production process changed how manufacturing firms manage their value chains in the era of Industry 4.0. The automotive sector represents the ecosystem with rapid digital transformation, which provides a strong relationship between manufacturing firms in supply chains. However, there are many gaps in understanding how digital technologies and services could better shape relations between manufacturers and suppliers in the automotive industry. Accordingly, this study investigates the relations in deliveries of digital services in supply chains of the automotive industry. The data set was obtained through annual reports of the automotive firms, both from suppliers and manufacturers, between 2018 and 2020. From the network perspective, throughout the years, authors have used Social Network Analysis (SNA) method. SNA evaluates the relationship between actors (i.e., manufacturers and suppliers) in the use of services in their business models. The research results demonstrate how suppliers influence car manufacturers to deliver digital services to their customers. Finally, this study provides information that the combination of digital technologies with product-related services enables a stronger relationship between manufacturers and suppliers in the manufacturing ecosystem. These relations support the manufacturing ecosystem to survive the influence of different environments.

Proactiveness, knowledge management capability and innovation ambidexterity: an empirical examination of digital supply chain adoption

“…Moreover, the digital servitisation theory has prompted various transformations in the firm's business model involving the demand for a complex network of interconnected capabilities, technical and non-technical, fostering comprehensive utilisation of knowledge from various sources (Marcon et al, 2022;M€ unch et al, 2022). The convergence of servitisation and digitisation often leads to the integration of digital services, such as those related to supply chain management, into physical entities (Jankovic-Zugic et al, 2023). In this respect, a substantial body of literature has been predominantly fixated on the technology infrastructure aspects and operational outcomes of DSCs, wherein the relationships between other essential factors in the DSC model have been overlooked (Farajpour et al, 2022;Sharma et al, 2022).…”

“…, 2022). The convergence of servitisation and digitisation often leads to the integration of digital services, such as those related to supply chain management, into physical entities (Jankovic-Zugic et al. , 2023).…”

Mechanics 4.0 and Mechanical Engineering Education

“…Disruptive technologies not only cause industrial revolutions but also cause changes in and have impacts of great relevance on the social and economic sphere in modern societies [5], which are characterized by their enormous differentiation and specialization. Industry 4.0 applications cover a wide range of industrial and non-industrial fields, such as textile manufacturing [6], medicine [7], the aeronautic industry [8], the automotive industry [9], agriculture [10], the petrochemical industry [11], construction [12] and the food industry [13], among others.…”

A Rental Platform Service Supply Chain Network Equilibrium Model Considering Digital Detection Technology Investment and Big Data Marketing

“…On the one hand, the rental platform is facing an increasingly complex and changeable business environment. While the operation, maintenance and management of equipment are optimized [6], the continuous input in digital detection technology will bring about an uneven distribution of benefits. On the other hand, under the current background that digitalization touches almost all aspects of human beings in the world, it is the general trend for participants in various industries to increase the market share through big data marketing [7], but with the increasing cost in the marketing process, the platform may be reluctant to carry out marketing in a later period.…”