ABSTRACT
The chapter aims to review literature in the area of Sustainable Manufacturing and Service Supply Chains in Industry 4.0 era. The survey aims to explore the literature growth on Industry 4.0, development of the theoretical framework and extending support to the practical implementation of Industry 4.0 in Service and Manufacturing setups. A noted list of 3,561 articles published during 1991-2018 are taken into consideration belong to various databases (viz. Web of Science and Scopus, that includes, Social Citation Index Expanded (SCI-Expanded), Social Science Citation Index (SSCI), Art and Humanities Citation Index (A&HCI), Conference Proceedings, etc.). The surveyed documents shows state of art research in the area of Industry 4.0 and industrial transformation across Service and Manufacturing setups.
We have varieties of Content Analysis Techniques, for present study Latent Semantic Analysis is used, due to its comprehensive nature and ability to a method to formulate latent factors (Joshi et al., 2017). LSA creates the scientific grounding to understand the trends. Using LSA, Understanding 98future research trends will assist researchers in the area of Manufacturing and Service Operations. Therefore, the study will be beneficial for practitioners of the strategic and operational aspects of technology adoption in Manufacturing and service supply chain decision making.
The current chapter uses the LSA approach (Joshi et al., 2017). The whole chapter is bifurcated into four sections viz. the first section describes the introduction to the evolvement of technology adoption across supply chains. The second section describes the usage of LSA for current study. The third section describes the finding and results. The fourth and final sections conclude the chapter with a brief discussion on research findings, its limitations, and the implications for future research. The outcomes of analysis presented in this chapter also provide opportunities for researchers/professionals to position their future technology driven supply chain research AND/OR implementation strategies.
