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Lojistik ve Tedarik Zincirinde Yapay Zekâ Çalışmaları: Bibliyometrik Bir Analiz

Yıl 2023, Cilt: 7 Sayı: 1, 461 - 480, 31.01.2023
https://doi.org/10.29023/alanyaakademik.1167224

Öz

Bu makalede bibliyometrik analiz kullanılarak lojistik ve tedarik zincirinde yapay zekâ çalışmaları ile ilgili bilimsel araştırmaların kapsamlı bir görünümünü sunmak amaçlanmıştır. Veriler 10 Mayıs 2022 tarihinde WoS veri tabanında yayınlanan 98 çalışmadan elde edilmiştir. Elde edilen veriler Excel ve VOSviewer yazılımı kullanılarak değerlendirilmiştir. Sonuçta lojistik ve tedarik zincirinde yapay zekâ ile ilgili çalışmaların 2018 yılından itibaren hızlı bir şekilde arttığı, 55 adet çalışma ile en çok araştırma makalesinin yayınlandığı görülmüştür. En üretken yazarlar Gunasekaran A. ve Klumpp, M.’dir. Çin 19 çalışma ile ortak yazarlıkta en fazla işbirliği yapan ülkedir. Türkiye’nin ortak yazarlıkta en fazla işbirliği yaptığı ülkeler Çin ve Hindistan’dır. Klumpp, M. en fazla alıntılanan yazar, ABD en fazla alıntılanan ülkedir. Türkiye en fazla alıntılanan beşinci ülkedir.

Destekleyen Kurum

YOKTUR

Proje Numarası

YOKTUR

Teşekkür

YOKTUR

Kaynakça

  • ADIGÜZEL, S. (2022). “Afet durumlarında yapay zekâ teknolojisi ile lojistik yönetimi örnekleri”. Akademik İzdüşüm Dergisi, 7(1): 47-70.
  • ADIGÜZEL, S., (2021). “OECD ve Avrupa Birliği ülkelerinde akıllı lojistik uygulamalarının ekonomiye katkıları”. Al Farabi Uluslararası Sosyal Bilimler Dergisi, 6(4), 95-112.
  • AKBEN, D., & İNCENACAR, T. (2018). “Tedarik zinciri yönetiminde yapay zekâ”.II. Uluslararası Sosyal Bilimler Kongresi, 184-199.
  • ARAÚJO RUIZ, J. A., & ARENCIBIA JORGE, R. (2002). “Informetría, bibliometría y cienciometría: aspectos teórico-prácticos”. Acimed, 10(4), 5-6.
  • ARGUMEDO-GARCÍA, M., SALAS-NAVARRO, K., ACEVEDO-CHEDID, J., & OSPINA-MATEUS, H. (2021). “Bibliometric Analysis of the Potential of Technologies in the Humanitarian Supply Chain”. Journal of Open Innovation: Technology, Market, and Complexity, 7(4), 232.
  • AYLAK, B. L, ORAL, O., & YAZICI, K. (2021) “Yapay zeka ve makine öğrenmesi tekniklerinin lojistik sektöründe kullanımı”. El-Cezerî Fen ve Mühendislik Dergisi, 8 (1), 74-93.
  • BELHADI, A., KAMBLE, S., FOSSO WAMBA, S., & QUEIROZ, M. M. (2021). “Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework”. International Journal of Production Research, 1-21.
  • CAO, L. (2021). “Artificial intelligence in retail: applications and value creation logics. International Journal of Retail & Distribution Management”, 49(7), 958-976.
  • CHEN, Y., LIN, M., & ZHUANG, D. (2022). “Wastewater treatment and emerging contaminants: Bibliometric analysis”. Chemosphere, 133932.
  • COLE, F. J., & EALES, N. B. (1917). “The history of comparative anatomy: Part I.—A statistical analysis of the literature”. Science Progress (1916-1919), 11(44), 578-596.
  • COOPER, I. D. (2015). “Bibliometrics basics”. Journal of the Medical Library Association: JMLA, 103(4), 217.
  • DANVILA-DEL-VALLE, I., ESTÉVEZ-MENDOZA, C., & LARA, F. J. (2019). “Human resources training: A bibliometric analysis”. Journal of Business Research, 101, 627-636.
  • DAUVERGNE, P. (2020). “Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs”. Review of International Political Economy, 1-23.
  • DHAMIJA, P., & BAG, S. (2020). “Role of artificial intelligence in operations environment: a review and bibliometric analysis”. The TQM Journal, 32(4), 869-896.
  • DIODATO, V. P., & GELLATLY, P. (2013). “Dictionary of bibliometrics”. Routledge.
  • DONTHU, N., KUMAR, S., MUKHERJEE, D., PANDEY, N., & LIM, W. M. (2021). “How to conduct a bibliometric analysis: An overview and guidelines”. Journal of Business Research, 133, 285-296.
  • DOS SANTOS, B. S., STEINER, M. T. A., FENERICH, A. T., & LIMA, R. H. P. (2019). “Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018”. Computers & Industrial Engineering, 138, 106120.
  • DWIVEDI, Y. K., HUGHES, L., ISMAGILOVA, E., AARTS, G., COOMBS, C., CRICK, T., ... & WILLIAMS, M. D. (2021). “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy”. International Journal of Information Management, 57, 101994.
  • ELLEGAARD, O., & WALLIN, J. A. (2015). “The bibliometric analysis of scholarly production: How great is the impact?”. Scientometrics, 105(3), 1809-1831.
  • FAHIMNIA, B., SARKIS, J., & DAVARZANI, H. (2015). “Green supply chain management: A review and bibliometric analysis”. International Journal of Production Economics, 162, 101-114.
  • FERREIRA, F. A. (2018). “Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses”. Journal of Business Research, 85, 348-357.
  • FOSTER, M. N., & RHODEN, S. L. (2020). “The integration of automation and artificial intelligence into the logistics sector: A Caribbean perspective”. Worldwide Hospitality and Tourism Themes, 12(1), 56-68.
  • GEORGI, C., DARKOW, I. L., & KOTZAB, H. (2013). “Foundations of logistics and supply chain research: a bibliometric analysis of four international journals”. International Journal of logistics research and applications, 16(6), 522-533.
  • GÜLSEN, I. (2019). “İşletmelerde yapay zeka uygulamaları ve faydaları: perakende sektöründe bir derleme”. Journal of Consumer and Consumption Research, 11(2), 407-436.
  • HELLINGRATH, B., & LECHTENBERG, S. (2019). “Applications of artificial intelligence in supply chain management and logistics: focusing onto recognition for supply chain execution”. In The art of structuring ( 283-296). Springer, Cham.
  • HELO, P., & HAO, Y. (2021). “Artificial intelligence in operations management and supply chain management: an exploratory case study”. Production Planning & Control, 1-18.
  • HIRAWAN, D., OKTAFIANI, D., FAUZAN, T. A., LUCKYARDI, S., & JAMIL, N. (2022). “Research Trends in Farming System Soil Chemical: A Bibliometric Analysis using VOSviewer”. Moroccan Journal of Chemistry, 10(3), 10-3.
  • HOFFMANN, C. H. (2022). “Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing”. Technology in Society, 101893.
  • KAPLAN, A., & HAENLEIN, M. (2019). “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence”. Business Horizons, 62(1), 15-25.
  • KUSHAIRI, N., & AHMI, A. (2021). “Flipped classroom in the second decade of the Millenia: a Bibliometrics analysis with Lotka’s law”. Education and Information Technologies, 1-31.
  • LANE, P. J., & LUBATKIN, M. (1998). “Relative absorptive capacity and interorganizational learning”. Strategic management journal, 19(5), 461-477.
  • MAHROOF, K. (2019). “A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse”. International Journal of Information Management, 45, 176-190.
  • MCCARTHY, J., MINSKY, M. L., ROCHESTER, N., & SHANNON, C. E. (2006). “A proposal for the dartmouth summer research project on artificial intelligence”, august 31, 1955. AI magazine, 27(4), 12-12.
  • MELTZER, J. P. (2018). “The impact of artificial intelligence on international trade”. Brookings Institute., Thursday, December, 13, 2016.
  • MHLANGA, D. (2021). “Artificial intelligence in the industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies?”. Sustainability, 13(11), 5788.
  • MIAU, S., & YANG, J. M. (2018). “Bibliometrics-based evaluation of the Blockchain research trend: 2008–March 2017”. Technology Analysis & Strategic Management, 30(9), 1029-1045.
  • MIN, H. (2010). “Artificial intelligence in supply chain management: theory and applications”. International Journal of Logistics: Research and Applications, 13(1), 13-39.
  • MIRCHEVA, R. D. (2020). “A Crisis Within the Crisis: The Impact of Covid-19 and Brexit On Supply Chains in the Pharmaceutical Industry”. Izvestiya. Journal of Varna University of Economics, 64(3), 352-368.
  • MODGIL, S., SINGH, R. K., & HANNIBAL, C. (2021). “Artificial intelligence for supply chain resilience: Learning from COVID-19”. The International Journal of Logistics Management.
  • MONTEIRO, J., & BARATA, J. (2021). “Artificial Intelligence in Extended Agri-Food Supply Chain: A Short Review Based on Bibliometric Analysis”. Procedia Computer Science, 192, 3020-3029.
  • NAYAL, K., RAUT, R., PRIYADARSHINEE, P., NARKHEDE, B. E., KAZANCOGLU, Y., & NARWANE, V. (2021). “Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic”. The International Journal of Logistics Management.
  • OLAN, F., LIU, S., SUKLAN, J., JAYAWICKRAMA, U., & ARAKPOGUN, E. O. (2021). “The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry”. International Journal of Production Research, 1-16.
  • ORAEE, M., HOSSEINI, M. R., PAPADONIKOLAKI, E., PALLIYAGURU, R., & ARASHPOUR, M. (2017). “Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review”. International Journal of Project Management, 35(7), 1288-1301.
  • ÖZTÜRK, K., & ŞAHİN, M. E. (2018). “Yapay sinir ağları ve yapay zekâ’ya genel bir bakış”. Takvim-i Vekayi, 6(2), 25-36.
  • PİRİM, A. G. H. (2006). “Yapay zeka”. Yaşar Üniversitesi E-Dergisi, 1(1), 81-93.
  • PK, F. A. (1984). What is Artificial Intelligence?. “Success is no accident. It is hard work, perseverance, learning, studying, sacrifice and most of all, love of what you are doing or learning to do”., 65.
  • POURNADER, M., GHADERI, H., HASSANZADEGAN, A., & FAHIMNIA, B. (2021). “Artificial intelligence applications in supply chain management”. International Journal of Production Economics, 241, 108250.
  • PRITCHARD, A. (1969). “Statistical bibliography or bibliometrics”. Journal of documentation, 25(4), 348-349.
  • RIAHI, Y., SAIKOUK, T., GUNASEKARAN, A., & BADRAOUI, I. (2021). “Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions”. Expert Systems with Applications, 173, 114702.
  • SHARMA, R., SHISHODIA, A., GUNASEKARAN, A., MIN, H., & MUNIM, Z. H. (2022). “The role of artificial intelligence in supply chain management: mapping the territory”. International Journal of Production Research, 1-24.
  • SONNENWALD, D. H. (2007). “Scientific collaboration”. Annu. Rev. Inf. Sci. Technol., 41(1), 643-681.
  • ŞAHİNBOY, K. (2018). “Tedarik zinciri yönetiminde yapay zeka uygulamaları ve çözüm modelleri üzerine bir araştırma”. (Yüksek Lisans Tezi). Nişantaşı Üniversitesi. Sosyal Bilimler Enstitüsü. İstanbul.
  • THELWALL, M. (2008). “Bibliometrics to webometrics”. Journal of information science, 34(4), 605-621.
  • TOORAJIPOUR, R., SOHRABPOUR, V., NAZARPOUR, A., OGHAZI, P., & FISCHL, M. (2021). “Artificial intelligence in supply chain management: A systematic literature review”. Journal of Business Research, 122, 502-517.
  • UYGUNOĞLU, T., & YURTÇU, Ş. (2006). “Yapay zekâ tekniklerinin inşaat mühendisliği problemlerinde kullanımı”. Yapı Teknolojileri Elektronik Dergisi, 2(1), 61-70.
  • VAN ECK, N. J., & WALTMAN, L. (2010). “Software survey: VOSviewer, a computer program for bibliometric mapping”. Scientometrics, 84(2), 523-538.
  • VAN ECK, N. J., & WALTMAN, L. (2013). “VOSviewer manual”. Leiden: Univeristeit Leiden, 1(1), 1-53.
  • WANG, S. (2021). “Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology”. Scientific Programming, 2021.
  • WOSCHANK, M., RAUCH, E., & ZSIFKOVITS, H. (2020). “A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics”. Sustainability, 12(9), 3760.
  • YANG, Y. J., & BANG, C. S. (2019). “Application of artificial intelligence in gastroenterology”. World journal of gastroenterology, 25(14), 1666.
  • ZEYTİN, Z., & GENÇAY, E. (2019). “Hukuk ve yapay zekâ: e-kişi, mali sorumluluk ve bir hukuk uygulaması”. Türk-Alman Üniversitesi Hukuk Fakültesi Dergisi, 1(1), 39-70.
  • ZHANG, Y. (2019). “The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series”,1325(1), 012085, IOP Publishing.
  • ZINN, W., & GOLDSBY, T. J. (2020). “Global Supply Chains: Globalization Research in a Changing World”. Journal of Business Logistics, 41(1), 4.

Artificial Intelligence Studies in Logistics and Supply Chain: A Bibliometric Analysis

Yıl 2023, Cilt: 7 Sayı: 1, 461 - 480, 31.01.2023
https://doi.org/10.29023/alanyaakademik.1167224

Öz

This article, it is aimed to present a comprehensive view of scientific research on artificial intelligence studies in logistics, and supply chains using bibliometric analysis. Data are from 98 studies published in the WoS database on May 10, 2022. The obtained data were evaluated using Excel, and VOSviewer software. As a result, it has been seen that the studies on artificial intelligence in logistics and supply chains have increased rapidly since 2018, and most research articles were published with 55 studies. The most prolific authors are Gunasekaran A. and Klumpp, M. China is the country with the most co-authorship with 19 studies. The countries with which Turkey cooperates most in co-authorship are China and India. Klumpp, M. is the most cited author, and the USA is the most cited country. Turkey is the fifth most cited country.

Proje Numarası

YOKTUR

Kaynakça

  • ADIGÜZEL, S. (2022). “Afet durumlarında yapay zekâ teknolojisi ile lojistik yönetimi örnekleri”. Akademik İzdüşüm Dergisi, 7(1): 47-70.
  • ADIGÜZEL, S., (2021). “OECD ve Avrupa Birliği ülkelerinde akıllı lojistik uygulamalarının ekonomiye katkıları”. Al Farabi Uluslararası Sosyal Bilimler Dergisi, 6(4), 95-112.
  • AKBEN, D., & İNCENACAR, T. (2018). “Tedarik zinciri yönetiminde yapay zekâ”.II. Uluslararası Sosyal Bilimler Kongresi, 184-199.
  • ARAÚJO RUIZ, J. A., & ARENCIBIA JORGE, R. (2002). “Informetría, bibliometría y cienciometría: aspectos teórico-prácticos”. Acimed, 10(4), 5-6.
  • ARGUMEDO-GARCÍA, M., SALAS-NAVARRO, K., ACEVEDO-CHEDID, J., & OSPINA-MATEUS, H. (2021). “Bibliometric Analysis of the Potential of Technologies in the Humanitarian Supply Chain”. Journal of Open Innovation: Technology, Market, and Complexity, 7(4), 232.
  • AYLAK, B. L, ORAL, O., & YAZICI, K. (2021) “Yapay zeka ve makine öğrenmesi tekniklerinin lojistik sektöründe kullanımı”. El-Cezerî Fen ve Mühendislik Dergisi, 8 (1), 74-93.
  • BELHADI, A., KAMBLE, S., FOSSO WAMBA, S., & QUEIROZ, M. M. (2021). “Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework”. International Journal of Production Research, 1-21.
  • CAO, L. (2021). “Artificial intelligence in retail: applications and value creation logics. International Journal of Retail & Distribution Management”, 49(7), 958-976.
  • CHEN, Y., LIN, M., & ZHUANG, D. (2022). “Wastewater treatment and emerging contaminants: Bibliometric analysis”. Chemosphere, 133932.
  • COLE, F. J., & EALES, N. B. (1917). “The history of comparative anatomy: Part I.—A statistical analysis of the literature”. Science Progress (1916-1919), 11(44), 578-596.
  • COOPER, I. D. (2015). “Bibliometrics basics”. Journal of the Medical Library Association: JMLA, 103(4), 217.
  • DANVILA-DEL-VALLE, I., ESTÉVEZ-MENDOZA, C., & LARA, F. J. (2019). “Human resources training: A bibliometric analysis”. Journal of Business Research, 101, 627-636.
  • DAUVERGNE, P. (2020). “Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs”. Review of International Political Economy, 1-23.
  • DHAMIJA, P., & BAG, S. (2020). “Role of artificial intelligence in operations environment: a review and bibliometric analysis”. The TQM Journal, 32(4), 869-896.
  • DIODATO, V. P., & GELLATLY, P. (2013). “Dictionary of bibliometrics”. Routledge.
  • DONTHU, N., KUMAR, S., MUKHERJEE, D., PANDEY, N., & LIM, W. M. (2021). “How to conduct a bibliometric analysis: An overview and guidelines”. Journal of Business Research, 133, 285-296.
  • DOS SANTOS, B. S., STEINER, M. T. A., FENERICH, A. T., & LIMA, R. H. P. (2019). “Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018”. Computers & Industrial Engineering, 138, 106120.
  • DWIVEDI, Y. K., HUGHES, L., ISMAGILOVA, E., AARTS, G., COOMBS, C., CRICK, T., ... & WILLIAMS, M. D. (2021). “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy”. International Journal of Information Management, 57, 101994.
  • ELLEGAARD, O., & WALLIN, J. A. (2015). “The bibliometric analysis of scholarly production: How great is the impact?”. Scientometrics, 105(3), 1809-1831.
  • FAHIMNIA, B., SARKIS, J., & DAVARZANI, H. (2015). “Green supply chain management: A review and bibliometric analysis”. International Journal of Production Economics, 162, 101-114.
  • FERREIRA, F. A. (2018). “Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses”. Journal of Business Research, 85, 348-357.
  • FOSTER, M. N., & RHODEN, S. L. (2020). “The integration of automation and artificial intelligence into the logistics sector: A Caribbean perspective”. Worldwide Hospitality and Tourism Themes, 12(1), 56-68.
  • GEORGI, C., DARKOW, I. L., & KOTZAB, H. (2013). “Foundations of logistics and supply chain research: a bibliometric analysis of four international journals”. International Journal of logistics research and applications, 16(6), 522-533.
  • GÜLSEN, I. (2019). “İşletmelerde yapay zeka uygulamaları ve faydaları: perakende sektöründe bir derleme”. Journal of Consumer and Consumption Research, 11(2), 407-436.
  • HELLINGRATH, B., & LECHTENBERG, S. (2019). “Applications of artificial intelligence in supply chain management and logistics: focusing onto recognition for supply chain execution”. In The art of structuring ( 283-296). Springer, Cham.
  • HELO, P., & HAO, Y. (2021). “Artificial intelligence in operations management and supply chain management: an exploratory case study”. Production Planning & Control, 1-18.
  • HIRAWAN, D., OKTAFIANI, D., FAUZAN, T. A., LUCKYARDI, S., & JAMIL, N. (2022). “Research Trends in Farming System Soil Chemical: A Bibliometric Analysis using VOSviewer”. Moroccan Journal of Chemistry, 10(3), 10-3.
  • HOFFMANN, C. H. (2022). “Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing”. Technology in Society, 101893.
  • KAPLAN, A., & HAENLEIN, M. (2019). “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence”. Business Horizons, 62(1), 15-25.
  • KUSHAIRI, N., & AHMI, A. (2021). “Flipped classroom in the second decade of the Millenia: a Bibliometrics analysis with Lotka’s law”. Education and Information Technologies, 1-31.
  • LANE, P. J., & LUBATKIN, M. (1998). “Relative absorptive capacity and interorganizational learning”. Strategic management journal, 19(5), 461-477.
  • MAHROOF, K. (2019). “A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse”. International Journal of Information Management, 45, 176-190.
  • MCCARTHY, J., MINSKY, M. L., ROCHESTER, N., & SHANNON, C. E. (2006). “A proposal for the dartmouth summer research project on artificial intelligence”, august 31, 1955. AI magazine, 27(4), 12-12.
  • MELTZER, J. P. (2018). “The impact of artificial intelligence on international trade”. Brookings Institute., Thursday, December, 13, 2016.
  • MHLANGA, D. (2021). “Artificial intelligence in the industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies?”. Sustainability, 13(11), 5788.
  • MIAU, S., & YANG, J. M. (2018). “Bibliometrics-based evaluation of the Blockchain research trend: 2008–March 2017”. Technology Analysis & Strategic Management, 30(9), 1029-1045.
  • MIN, H. (2010). “Artificial intelligence in supply chain management: theory and applications”. International Journal of Logistics: Research and Applications, 13(1), 13-39.
  • MIRCHEVA, R. D. (2020). “A Crisis Within the Crisis: The Impact of Covid-19 and Brexit On Supply Chains in the Pharmaceutical Industry”. Izvestiya. Journal of Varna University of Economics, 64(3), 352-368.
  • MODGIL, S., SINGH, R. K., & HANNIBAL, C. (2021). “Artificial intelligence for supply chain resilience: Learning from COVID-19”. The International Journal of Logistics Management.
  • MONTEIRO, J., & BARATA, J. (2021). “Artificial Intelligence in Extended Agri-Food Supply Chain: A Short Review Based on Bibliometric Analysis”. Procedia Computer Science, 192, 3020-3029.
  • NAYAL, K., RAUT, R., PRIYADARSHINEE, P., NARKHEDE, B. E., KAZANCOGLU, Y., & NARWANE, V. (2021). “Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic”. The International Journal of Logistics Management.
  • OLAN, F., LIU, S., SUKLAN, J., JAYAWICKRAMA, U., & ARAKPOGUN, E. O. (2021). “The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry”. International Journal of Production Research, 1-16.
  • ORAEE, M., HOSSEINI, M. R., PAPADONIKOLAKI, E., PALLIYAGURU, R., & ARASHPOUR, M. (2017). “Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review”. International Journal of Project Management, 35(7), 1288-1301.
  • ÖZTÜRK, K., & ŞAHİN, M. E. (2018). “Yapay sinir ağları ve yapay zekâ’ya genel bir bakış”. Takvim-i Vekayi, 6(2), 25-36.
  • PİRİM, A. G. H. (2006). “Yapay zeka”. Yaşar Üniversitesi E-Dergisi, 1(1), 81-93.
  • PK, F. A. (1984). What is Artificial Intelligence?. “Success is no accident. It is hard work, perseverance, learning, studying, sacrifice and most of all, love of what you are doing or learning to do”., 65.
  • POURNADER, M., GHADERI, H., HASSANZADEGAN, A., & FAHIMNIA, B. (2021). “Artificial intelligence applications in supply chain management”. International Journal of Production Economics, 241, 108250.
  • PRITCHARD, A. (1969). “Statistical bibliography or bibliometrics”. Journal of documentation, 25(4), 348-349.
  • RIAHI, Y., SAIKOUK, T., GUNASEKARAN, A., & BADRAOUI, I. (2021). “Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions”. Expert Systems with Applications, 173, 114702.
  • SHARMA, R., SHISHODIA, A., GUNASEKARAN, A., MIN, H., & MUNIM, Z. H. (2022). “The role of artificial intelligence in supply chain management: mapping the territory”. International Journal of Production Research, 1-24.
  • SONNENWALD, D. H. (2007). “Scientific collaboration”. Annu. Rev. Inf. Sci. Technol., 41(1), 643-681.
  • ŞAHİNBOY, K. (2018). “Tedarik zinciri yönetiminde yapay zeka uygulamaları ve çözüm modelleri üzerine bir araştırma”. (Yüksek Lisans Tezi). Nişantaşı Üniversitesi. Sosyal Bilimler Enstitüsü. İstanbul.
  • THELWALL, M. (2008). “Bibliometrics to webometrics”. Journal of information science, 34(4), 605-621.
  • TOORAJIPOUR, R., SOHRABPOUR, V., NAZARPOUR, A., OGHAZI, P., & FISCHL, M. (2021). “Artificial intelligence in supply chain management: A systematic literature review”. Journal of Business Research, 122, 502-517.
  • UYGUNOĞLU, T., & YURTÇU, Ş. (2006). “Yapay zekâ tekniklerinin inşaat mühendisliği problemlerinde kullanımı”. Yapı Teknolojileri Elektronik Dergisi, 2(1), 61-70.
  • VAN ECK, N. J., & WALTMAN, L. (2010). “Software survey: VOSviewer, a computer program for bibliometric mapping”. Scientometrics, 84(2), 523-538.
  • VAN ECK, N. J., & WALTMAN, L. (2013). “VOSviewer manual”. Leiden: Univeristeit Leiden, 1(1), 1-53.
  • WANG, S. (2021). “Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology”. Scientific Programming, 2021.
  • WOSCHANK, M., RAUCH, E., & ZSIFKOVITS, H. (2020). “A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics”. Sustainability, 12(9), 3760.
  • YANG, Y. J., & BANG, C. S. (2019). “Application of artificial intelligence in gastroenterology”. World journal of gastroenterology, 25(14), 1666.
  • ZEYTİN, Z., & GENÇAY, E. (2019). “Hukuk ve yapay zekâ: e-kişi, mali sorumluluk ve bir hukuk uygulaması”. Türk-Alman Üniversitesi Hukuk Fakültesi Dergisi, 1(1), 39-70.
  • ZHANG, Y. (2019). “The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series”,1325(1), 012085, IOP Publishing.
  • ZINN, W., & GOLDSBY, T. J. (2020). “Global Supply Chains: Globalization Research in a Changing World”. Journal of Business Logistics, 41(1), 4.
Toplam 63 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yöneylem
Bölüm Makaleler
Yazarlar

Aslıhan Turgut 0000-0002-7836-8513

Proje Numarası YOKTUR
Yayımlanma Tarihi 31 Ocak 2023
Kabul Tarihi 12 Aralık 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 7 Sayı: 1

Kaynak Göster

APA Turgut, A. (2023). Lojistik ve Tedarik Zincirinde Yapay Zekâ Çalışmaları: Bibliyometrik Bir Analiz. Alanya Akademik Bakış, 7(1), 461-480. https://doi.org/10.29023/alanyaakademik.1167224