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Lojistik 4.0 Üzerine Yapılan Araştırmaların Bibliyometrik Analizi

Year 2023, Volume: 24 Issue: 1, 96 - 113, 16.01.2023

Muhammed Turğut , İpek Gürsoy

https://doi.org/10.37880/cumuiibf.1180817

Abstract

Dördüncü endüstri devriminin en önemli uygulamalarından biri olan Lojistik 4.0, tedarik zincirinde yer alan tüm üyeler için sürdürülebilirlik, verimlilik ve temel iş süreçlerini iyileştirme açısından kritik bir öneme sahiptir. Lojistik 4.0, tedarik zinciri ve lojistik süreçlerde kurumsal kaynak planlama, depo yönetim sistemleri, taşıma yönetim sistemleri ve akıllı ulaşım sistemlerine entegre edilen ileri düzey teknolojik bir uygulamadır. Teknolojilerin entegrasyonu sayesinde kuruluşlar, maliyet, zaman, hız ve rekabet avantajı elde ederek müşterilerine daha iyi hizmet sunmayı ve değer yaratmayı hedeflemektedir. Günümüzde son derece popüler hale gelen Lojistik 4.0 kavramı üzerine yapılan çalışmaların ortaya konulması, bu alanda çalışan ve çalışmayı düşünen teorisyenler ve uygulayıcılar açısından büyük bir önem arz etmektedir. Bu sebeple, Lojistik 4.0 ile ilgili yapılan araştırmaların bibliyotmerik analizinin gerçekleştirilmesi çalışmanın amacını oluşturmaktadır. Bu amaca yönelik olarak, 2015-2022 yılları arasında Web of Science veri tabanında yer alan Lojistik 4.0 konulu toplamda 127 araştırma VOSviewer paket programı kullanılarak analiz edilmiştir. Analizler sonucunda, en çok ortak çalışma yürüten yazarın ‘Olaverri-Monreali, C’ olduğu; ‘Lojistik 4.0’, ‘Endüstri 4.0’, ‘Nesnelerin İnterneti’, ‘Sürdürülebilirlik’, ‘Büyük Veri ve Dijitalizasyon’un en sık kullanılan ortak kelimeler olduğu; en çok atıf alan çalışmanın Barreto (2017)’a ait olduğu; en etkili derginin ‘Manufacturing Engineering Society’ olduğu ve en çok atıf alan yazarın ‘Amaral, A’ olduğu tespit edilmiştir. Bununla birlikte, en az 1 çalışma ve en az 1 atıfa sahip olan ülkelerin en etkili ülkelerin ise ‘Almanya’, ‘Portekiz’, ‘Polonya’, ‘Norveç’ ve ‘İtalya’ olduğu sonucuna ulaşılmıştır.

Keywords

Lojistik Endüstri 4.0 Lojistik 4.0 Bibliyometrik Analiz.

References

  • Abdirad, M., & Krishnan, K. (2021). Industry 4.0 in logistics and supply chain management: a systematic literature review. Engineering Management Journal, 33(3), 187-201.
  • Bag, S., Gupta, S., & Luo, Z. (2020). Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance. The International Journal of Logistics Management.
  • Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia manufacturing, 13, 1245-1252.
  • Chen, Y. T., Sun, E. W., Chang, M. F., & Lin, Y. B. (2021). Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0. International Journal of Production Economics, 238, 108157.
  • Christopher, M. (2016). Logistics & supply chain management. Pearson Uk.
  • Cimini, C., Lagorio, A., Pirola, F., & Pinto, R. (2019). Exploring human factors in Logistics 4.0: Empirical evidence from a case study. IFAC-PapersOnLine, 52(13), 2183-2188.
  • Demir, S., Paksoy, T., & Kochan, C. G. (2020). Logistics 4.0: SCM in Industry 4.0 Era:(Changing Patterns of Logistics in Industry 4.0 and Role of Digital Transformation in SCM). In Logistics 4.0 (pp. 15-26). CRC Press.
  • Domingo Galindo, L. (2016). The challenges of logistics 4.0 for the supply chain management and the information technology (Master's thesis, NTNU).
  • Ellefsen, A. P. T., Oleśków-Szłapka, J., Pawłowski, G., & Toboła, A. (2019). Striving for excellence in AI implementation: AI maturity model framework and preliminary research results. LogForum, 15(3).
  • Facchini, F., Oleśków-Szłapka, J., Ranieri, L., & Urbinati, A. (2019). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability, 12(1), 86.
  • Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I. (2019). Towards supply chain management 4.0. Brazilian Journal of Operations & Production Management, 16(2), 180-191.
  • Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252, 119869.
  • Hasan, M. M., Jiang, D., Ullah, A. S., & Noor-E-Alam, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems with Applications, 139, 112799.
  • Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, 23-34.
  • Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., & Salonitis, K. (2021). Food logistics 4.0: Opportunities and challenges. Logistics, 5(1), 2.
  • Kagermann, H., Lukas, W. D., & Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI nachrichten, 13(1), 2-3.
  • Kodym, O., Kubáč, L., & Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74-85.
  • Lin, B., & Jones, C. A. (2008). Digital Supply Chain Management and Implementation: A Research Review. Swdsi. Org, 589-592.
  • Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing.
  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48.
  • Morales-Alvarez, W., Sipele, O., Léberon, R., Tadjine, H. H., & Olaverri-Monreal, C. (2020). Automated driving: A literature review of the take over request in conditional automation. Electronics, 9(12), 2087.
  • Nantee, N., & Sureeyatanapas, P. (2021). The impact of Logistics 4.0 on corporate sustainability: a performance assessment of automated warehouse operations. Benchmarking: An International Journal.
  • Olaverri-Monreal, C., Kumar, S., & Dìaz-Àlvarez, A. (2018, June). Automated driving: Interactive automation control system to enhance situational awareness in conditional automation. In 2018 IEEE Intelligent Vehicles Symposium (IV) (pp. 1698-1703). IEEE.
  • Oleśków-Szłapka, J., Wojciechowski, H., Domański, R., & Pawłowski, G. (2019). Logistics 4.0 maturity levels assessed based on GDM (grey decision model) and artificial intelligence in logistics 4.0-trends and future perspective. Procedia Manufacturing, 39, 1734-1742.
  • Öztürk, O.,& Gürler, G. (2021). Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. Ankara: Nobel Yayınevi.
  • Pozzo, D. N., Correa, K. R., Madrid, A. I. C., Campo, C. J. C., Donado, M. E. G., & Biegelmeyer, U. H. (2022). Logistics 4.0: a review of current trends using bibliometric analysis. Procedia Computer Science, 203, 531-536.
  • Rejeb, A., Rejeb, K., Abdollahi, A., & Treiblmaier, H. (2022). The Big Picture on Instagram Research: Insights from a Bibliometric Analysis. Telematics and Informatics, 101876.
  • Schmidtke, N., Glistau, E., & Behrendt, F. (2019). Magdeburg Logistics Model–The Smart Logistics Zone as a Concept for Enabling Logistics 4.0 Technologies. Advanced Logistic Systems-Theory and Practice, 13(1), 7-16.
  • Schroeder, A., Ziaee Bigdeli, A., Galera Zarco, C., & Baines, T. (2019). Capturing the benefits of industry 4.0: a business network perspective. Production Planning & Control, 30(16), 1305-1321.
  • Strandhagen, J. O., Vallandingham, L. R., Fragapane, G., Strandhagen, J. W., Stangeland, A. B. H., & Sharma, N. (2017). Logistics 4.0 and emerging sustainable business models. Advances in Manufacturing, 5(4), 359-369.
  • Timm, I. J., & Lorig, F. (2015, December). Logistics 4.0-A challenge for simulattion. In 2015 Winter Simulation Conference (WSC) (pp. 3118-3119). IEEE.
  • Torbacki, W., & Kijewska, K. (2019). Identifying Key Performance Indicators to be used in Logistics 4.0 and Industry 4.0 for the needs of sustainable municipal logistics by means of the DEMATEL method. Transportation Research Procedia, 39, 534-543.
  • Wang, K. (2016). Logistics 4.0 solution-new challenges and opportunities. In 6th international workshop of advanced manufacturing and automation (pp. 68-74). Atlantis Press.
  • Winkelhaus, S., & Grosse, E. H. (2020). Logistics 4.0: a systematic review towards a new logistics system. International Journal of Production Research, 58(1), 18-43.
  • Yavas, V., & Ozkan-Ozen, Y. D. (2020). Logistics centers in the new industrial era: A proposed framework for logistics center 4.0. Transportation Research Part E: Logistics and Transportation Review, 135, 101864.
  • Yılmaz, Ü., & Duman, B. Lojistik 4.0 Kavramına Genel Bir Bakış: Geçmişten Bugüne Gelişim ve Değişimi. Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi, 4(1), 186-200.

Bibliometric Analysis of Research on Logistics 4.0

Year 2023, Volume: 24 Issue: 1, 96 - 113, 16.01.2023

Muhammed Turğut , İpek Gürsoy

https://doi.org/10.37880/cumuiibf.1180817

Abstract

Logistics 4.0, one of the most important applications of the fourth industrial revolution, has a critical importance in terms of sustainability, efficiency and improvement of basic business processes for all members in the supply chain. Logistics 4.0 is an advanced technological application integrated into enterprise resource planning, warehouse management systems, transportation management systems and smart transportation systems in supply chain and logistics processes. Thanks to the integration of technologies, organizations aim to provide better service to their customers and create value by gaining cost, time, speed and competitive advantage. Presenting the studies on the concept of Logistics 4.0, which has become extremely popular today, is of great importance for theorists and practitioners working and considering working in this field. For this reason, the purpose of the study is to perform a bibliometric analysis of the researches on Logistics 4.0. For this purpose, a total of 127 studies on Logistics 4.0 in the Web of Science database between 2015-2022 were analyzed using the VOSviewer package program. As a result of the analyzes, the most collaborative author was ‘Olaverri-Monreali, C’; ‘Logistics 4.0’, ‘Industry 4.0’, ‘Internet of Things’, ‘Sustainability’, ‘Big Data and Digitalization’ are the most frequently used common words; the most cited work belongs to Barreto (2017); it was determined that the most influential journal was the ‘Manufacturing Engineering Society’ and the most cited author was ‘Amaral, A’. However, it was concluded that the countries with at least 1 study and at least 1 citation were the most influential countries in ‘Germany’, ‘Portugal’, ‘Poland’, ‘Norway’ and ‘Italy’.

Keywords

Logistics Industry 4.0 Logistics 4.0 Bibliometric Analysis.

References

  • Abdirad, M., & Krishnan, K. (2021). Industry 4.0 in logistics and supply chain management: a systematic literature review. Engineering Management Journal, 33(3), 187-201.
  • Bag, S., Gupta, S., & Luo, Z. (2020). Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance. The International Journal of Logistics Management.
  • Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia manufacturing, 13, 1245-1252.
  • Chen, Y. T., Sun, E. W., Chang, M. F., & Lin, Y. B. (2021). Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0. International Journal of Production Economics, 238, 108157.
  • Christopher, M. (2016). Logistics & supply chain management. Pearson Uk.
  • Cimini, C., Lagorio, A., Pirola, F., & Pinto, R. (2019). Exploring human factors in Logistics 4.0: Empirical evidence from a case study. IFAC-PapersOnLine, 52(13), 2183-2188.
  • Demir, S., Paksoy, T., & Kochan, C. G. (2020). Logistics 4.0: SCM in Industry 4.0 Era:(Changing Patterns of Logistics in Industry 4.0 and Role of Digital Transformation in SCM). In Logistics 4.0 (pp. 15-26). CRC Press.
  • Domingo Galindo, L. (2016). The challenges of logistics 4.0 for the supply chain management and the information technology (Master's thesis, NTNU).
  • Ellefsen, A. P. T., Oleśków-Szłapka, J., Pawłowski, G., & Toboła, A. (2019). Striving for excellence in AI implementation: AI maturity model framework and preliminary research results. LogForum, 15(3).
  • Facchini, F., Oleśków-Szłapka, J., Ranieri, L., & Urbinati, A. (2019). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability, 12(1), 86.
  • Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I. (2019). Towards supply chain management 4.0. Brazilian Journal of Operations & Production Management, 16(2), 180-191.
  • Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252, 119869.
  • Hasan, M. M., Jiang, D., Ullah, A. S., & Noor-E-Alam, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems with Applications, 139, 112799.
  • Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, 23-34.
  • Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., & Salonitis, K. (2021). Food logistics 4.0: Opportunities and challenges. Logistics, 5(1), 2.
  • Kagermann, H., Lukas, W. D., & Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI nachrichten, 13(1), 2-3.
  • Kodym, O., Kubáč, L., & Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74-85.
  • Lin, B., & Jones, C. A. (2008). Digital Supply Chain Management and Implementation: A Research Review. Swdsi. Org, 589-592.
  • Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing.
  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48.
  • Morales-Alvarez, W., Sipele, O., Léberon, R., Tadjine, H. H., & Olaverri-Monreal, C. (2020). Automated driving: A literature review of the take over request in conditional automation. Electronics, 9(12), 2087.
  • Nantee, N., & Sureeyatanapas, P. (2021). The impact of Logistics 4.0 on corporate sustainability: a performance assessment of automated warehouse operations. Benchmarking: An International Journal.
  • Olaverri-Monreal, C., Kumar, S., & Dìaz-Àlvarez, A. (2018, June). Automated driving: Interactive automation control system to enhance situational awareness in conditional automation. In 2018 IEEE Intelligent Vehicles Symposium (IV) (pp. 1698-1703). IEEE.
  • Oleśków-Szłapka, J., Wojciechowski, H., Domański, R., & Pawłowski, G. (2019). Logistics 4.0 maturity levels assessed based on GDM (grey decision model) and artificial intelligence in logistics 4.0-trends and future perspective. Procedia Manufacturing, 39, 1734-1742.
  • Öztürk, O.,& Gürler, G. (2021). Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. Ankara: Nobel Yayınevi.
  • Pozzo, D. N., Correa, K. R., Madrid, A. I. C., Campo, C. J. C., Donado, M. E. G., & Biegelmeyer, U. H. (2022). Logistics 4.0: a review of current trends using bibliometric analysis. Procedia Computer Science, 203, 531-536.
  • Rejeb, A., Rejeb, K., Abdollahi, A., & Treiblmaier, H. (2022). The Big Picture on Instagram Research: Insights from a Bibliometric Analysis. Telematics and Informatics, 101876.
  • Schmidtke, N., Glistau, E., & Behrendt, F. (2019). Magdeburg Logistics Model–The Smart Logistics Zone as a Concept for Enabling Logistics 4.0 Technologies. Advanced Logistic Systems-Theory and Practice, 13(1), 7-16.
  • Schroeder, A., Ziaee Bigdeli, A., Galera Zarco, C., & Baines, T. (2019). Capturing the benefits of industry 4.0: a business network perspective. Production Planning & Control, 30(16), 1305-1321.
  • Strandhagen, J. O., Vallandingham, L. R., Fragapane, G., Strandhagen, J. W., Stangeland, A. B. H., & Sharma, N. (2017). Logistics 4.0 and emerging sustainable business models. Advances in Manufacturing, 5(4), 359-369.
  • Timm, I. J., & Lorig, F. (2015, December). Logistics 4.0-A challenge for simulattion. In 2015 Winter Simulation Conference (WSC) (pp. 3118-3119). IEEE.
  • Torbacki, W., & Kijewska, K. (2019). Identifying Key Performance Indicators to be used in Logistics 4.0 and Industry 4.0 for the needs of sustainable municipal logistics by means of the DEMATEL method. Transportation Research Procedia, 39, 534-543.
  • Wang, K. (2016). Logistics 4.0 solution-new challenges and opportunities. In 6th international workshop of advanced manufacturing and automation (pp. 68-74). Atlantis Press.
  • Winkelhaus, S., & Grosse, E. H. (2020). Logistics 4.0: a systematic review towards a new logistics system. International Journal of Production Research, 58(1), 18-43.
  • Yavas, V., & Ozkan-Ozen, Y. D. (2020). Logistics centers in the new industrial era: A proposed framework for logistics center 4.0. Transportation Research Part E: Logistics and Transportation Review, 135, 101864.
  • Yılmaz, Ü., & Duman, B. Lojistik 4.0 Kavramına Genel Bir Bakış: Geçmişten Bugüne Gelişim ve Değişimi. Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi, 4(1), 186-200.
There are 36 citations in total.

Details

Primary Language Turkish
Journal Section Makaleler
Authors

Muhammed Turğut 0000-0002-0868-7041

İpek Gürsoy 0000-0002-6409-7177

Early Pub Date January 11, 2023
Publication Date January 16, 2023
Submission Date September 27, 2022
Published in Issue Year 2023Volume: 24 Issue: 1

Cite

APA Turğut, M., & Gürsoy, İ. (2023). Lojistik 4.0 Üzerine Yapılan Araştırmaların Bibliyometrik Analizi. Cumhuriyet Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 24(1), 96-113. https://doi.org/10.37880/cumuiibf.1180817
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