open access publication

Review, 2023

From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0

Computers in Industry, ISSN 0166-3615, Volume 148, 10.1016/j.compind.2023.103908

Contributors

Kim M. [1] Lim C. 0000-0001-6112-9674 (Corresponding author) [2] Hsuan J. 0000-0003-3084-6288 [3]

Affiliations

  1. [1] Kumoh National Institute of Technology
  2. [NORA names: South Korea; Asia, East; OECD];
  3. [2] Ulsan National Institute of Science and Technology (UNIST)
  4. [NORA names: South Korea; Asia, East; OECD];
  5. [3] Copenhagen Business School
  6. [NORA names: CBS Copenhagen Business School; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Product-based companies worldwide attempt to integrate services into their offerings, embarking on “servitization” as a key strategy. These days, the acceleration of technological innovation (i.e., Industry 4.0) has triggered an emerging IT-driven business paradigm called digital servitization or smart product-service system (PSS) that embeds Industry 4.0 technologies. As a result of these developments, related literature has expanded across different disciplines in recent years. However, understanding and describing literature is not easy considering its volume and variety. Establishing common ground for central concepts is essential for science. Thus, to clarify important topics and research issues on servitization and PSSs in Industry 4.0, we carry out a comprehensive literature review by performing text mining of 419 journal articles. A machine learning approach is applied to learn and identify the specific topics, and the suggested key references are manually reviewed to develop a state-of-the-art overview. A total of 10 key research topics are identified, and the enabler–engineering–goal framework is developed. This study contributes to clarifying a systematized view of dispersed studies of servitization and PSSs in Industry 4.0 across multiple disciplines and encourages further academic discussions and industrial transformation.

Keywords

Data-driven, Industry 4.0, Product-service system, Servitization, Text mining

Funders

  • Ministry of Science, ICT and Future Planning
  • National Research Foundation
  • Ministry of Education
  • Ulsan National Institute of Science and Technology
  • Institute for Information and Communications Technology Promotion
  • Artificial Intelligence Innovation Hub
  • Artificial Intelligence Graduate School Program

Data Provider: Elsevier