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Logistics, supply chain management and technology research: An analysis on the axis of technology mining

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  • Yalcin, Haydar
  • Daim, Tugrul U.

Abstract

In this study, it is aimed to explore the technology research and development processes in the field of logistics and supply chain management according to scientific publications and patent data. For this purpose, important research focuses on the field were revealed, authors, institutions and countries leading the field were determined, and sub-technology areas for technologies in the field of logistics and supply chain management were determined by patent analysis. In our research, in which technology mining method was used, patent analysis and bibliometrics were handled together. Our research also aimed to determine the important research focuses for the field. Accordingly, with the pandemic, in scientific studies in the field of logistics and supply chain management, it has been seen that connected ecosystem components such as bitcoin, Internet of Things (IoT), and smart contracts stand out as open and relatively untouched areas. On the other hand, it has been observed that the USA, the United Kingdom, China and India have come to the fore as the leading countries in the field, and the tendency towards research on data flow and sharing has increased in patent analysis.

Suggested Citation

  • Yalcin, Haydar & Daim, Tugrul U., 2022. "Logistics, supply chain management and technology research: An analysis on the axis of technology mining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    • Handle: RePEc:eee:transe:v:168:y:2022:i:c:s1366554522003209
    DOI: 10.1016/j.tre.2022.102943
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    References listed on IDEAS

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    1. Sven Winkelhaus & Eric H. Grosse, 2020. "Logistics 4.0: a systematic review towards a new logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 18-43, January.
    2. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    3. Shenle Pan & Damien Trentesaux & Duncan Mcfarlane & Benoit Montreuil & Eric Ballot & George Huang, 2021. "Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet," Post-Print hal-03161524, HAL.
    4. Winkelhaus, S. & Grosse, E. H., 2020. "Logistics 4.0: a systematic review towards a new logistics system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118539, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
    6. Zeba, Gordana & Dabić, Marina & Čičak, Mirjana & Daim, Tugrul & Yalcin, Haydar, 2021. "Technology mining: Artificial intelligence in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. Gunasekaran, Angappa & Ngai, Eric W.T., 2012. "The future of operations management: An outlook and analysis," International Journal of Production Economics, Elsevier, vol. 135(2), pages 687-701.
    8. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
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    Cited by:

    1. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Yiwei Wu & Hongyu Zhang & Shuaian Wang & Lu Zhen, 2023. "Mathematical Optimization of Carbon Storage and Transport Problem for Carbon Capture, Use, and Storage Chain," Mathematics, MDPI, vol. 11(12), pages 1-14, June.
    3. Tomas Gabriel Bas & Paula Astudillo & Daniel Rojo & Angel Trigo, 2023. "Opinions Related to the Potential Application of Artificial Intelligence (AI) by the Responsible in Charge of the Administrative Management Related to the Logistics and Supply Chain of Medical Stock i," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    4. Ghaffari, Mohsen & Aliahmadi, Alireza & Khalkhali, Abolfazl & Zakery, Amir & Daim, Tugrul U. & Yalcin, Haydar, 2023. "Topic-based technology mapping using patent data analysis: A case study of vehicle tires," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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