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Literature review on the ‘Smart Factory’ concept using bibliometric tools

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  • Fernanda Strozzi
  • Claudia Colicchia
  • Alessandro Creazza
  • Carlo Noè

Abstract

The objective of this paper is to depict a landscape of the scientific literature on the concept of the ‘Smart Factory’, which in recent years is gaining more and more attention from academics and practitioners because of significant innovations in the production systems within the manufacturing sector. To achieve this objective, a dynamic methodology called ‘Systematic Literature Network Analysis (SLNA)’ has been applied. This methodology combines the Systematic Literature Review approach with the analysis of bibliographic networks. The adopted methodology allows complementing traditional content-based literature reviews by extracting quantitative information from bibliographic networks to detect emerging topics, and by revealing the dynamic evolution of the scientific production of a discipline. This dynamic analysis allowed highlighting research directions and critical areas for the development of the ‘Smart Factory’. At the same time, it offers insights on the fields on which companies, associations, politicians and technology providers need to focus in order to allow a real transition towards the implementation of large-scale Smart Factory.

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  • Fernanda Strozzi & Claudia Colicchia & Alessandro Creazza & Carlo Noè, 2017. "Literature review on the ‘Smart Factory’ concept using bibliometric tools," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6572-6591, November.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:22:p:6572-6591
    DOI: 10.1080/00207543.2017.1326643
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    1. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    3. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    2. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
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    6. Modak, Nikunja M. & Merigó, José M. & Weber, Richard & Manzor, Felipe & Ortúzar, Juan de Dios, 2019. "Fifty years of Transportation Research journals: A bibliometric overview," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 188-223.
    7. Katarzyna Grzybowska, 2021. "Identification and Classification of Global Theoretical Trends and Supply Chain Development Directions," Energies, MDPI, vol. 14(15), pages 1-19, July.
    8. Terstriep, Judith & Rabadjieva, Maria, 2020. "Innovation für den Mittelstand durch Synergien von Handwerk und Design: Das Projekt DigiMat zieht Bilanz," Forschung Aktuell 01/2020, Institut Arbeit und Technik (IAT), Westfälische Hochschule, University of Applied Sciences.
    9. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    10. Sittiporn Pimsakul & Premaratne Samaranayake & Tritos Laosirihongthong, 2021. "Prioritizing Enabling Factors of IoT Adoption for Sustainability in Supply Chain Management," Sustainability, MDPI, vol. 13(22), pages 1-22, November.
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    12. Roshni Das, 2023. "Does public service motivation predict performance in public sector organizations? A longitudinal science mapping study," Management Review Quarterly, Springer, vol. 73(3), pages 1237-1271, September.
    13. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
    14. Won, Jeong Yeon & Park, Min Jae, 2020. "Smart factory adoption in small and medium-sized enterprises: Empirical evidence of manufacturing industry in Korea," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    15. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    16. Lemstra, Mary Anny Moraes Silva & de Mesquita, Marco Aurélio, 2023. "Industry 4.0: a tertiary literature review," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    17. Sebastian Saniuk & Sandra Grabowska, 2021. "The Concept of Cyber-Physical Networks of Small and Medium Enterprises under Personalized Manufacturing," Energies, MDPI, vol. 14(17), pages 1-17, August.
    18. Matheus Becker Costa & Leonardo Moraes Aguiar Lima Santos & Jones Luís Schaefer & Ismael Cristofer Baierle & Elpidio Oscar Benitez Nara, 2019. "Industry 4.0 technologies basic network identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 977-994, November.
    19. Björn Häckel & Florian Hänsch & Michael Hertel & Jochen Übelhör, 2019. "Assessing IT availability risks in smart factory networks," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 523-558, December.
    20. Varun Tripathi & Somnath Chattopadhyaya & Alok Kumar Mukhopadhyay & Shubham Sharma & Changhe Li & Sunpreet Singh & Waqas Ul Hussan & Bashir Salah & Waqas Saleem & Abdullah Mohamed, 2022. "A Sustainable Productive Method for Enhancing Operational Excellence in Shop Floor Management for Industry 4.0 Using Hybrid Integration of Lean and Smart Manufacturing: An Ingenious Case Study," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    21. Neelam Kaushal & Neeraj Kaushik & Brijesh Sivathanu, 2021. "Workplace ostracism in various organizations: a systematic review and bibliometric analysis," Management Review Quarterly, Springer, vol. 71(4), pages 783-818, October.
    22. Katarzyna Grzybowska & Piotr Cyplik, 2022. "Digital Technology for Digital Supply Chain – The Clusters Identification," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 203-215.
    23. Mitsuhiro Fukuzawa & Ryosuke Sugie & Youngwon Park & Jin Shi, 2022. "An Exploratory Case Study on the Metrics and Performance of IoT Investment in Japanese Manufacturing Firms," Sustainability, MDPI, vol. 14(5), pages 1-21, February.

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