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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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    6. 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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    8. 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).
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    Cited by:

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    2. 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.
    3. Verma, Pratima & Kumar, Vimal & Yalcin, Haydar & Daim, Tugrul, 2023. "Organizational architecture of strategic entrepreneurial firms for digital transformation: A bibliometric analysis," Technology in Society, Elsevier, vol. 75(C).
    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).
    5. 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).

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