Araştırma Makalesi
BibTex RIS Kaynak Göster

A BIBLIOMETRIC ANALYSIS OF THE LITERATURE ON DIGITAL SUPPLY CHAIN

Yıl 2023, Cilt: 8 Sayı: 2, 453 - 481, 20.12.2023
https://doi.org/10.54452/jrb.1269354

Öz

The aim of this study is to conduct a bibliometric analysis of the Digital Supply Chain (DSC) literature. To this aim, the analysis included 106 articles published in the Web of Science (WoS) database between 2012 and 2022. Firstly, an overview of the 106 articles was provided through certain bibliometric indicators to identify important journals, articles, and prolific authors, as well as the leading universities and countries in the field. Bibliometric methods such as citation analysis, co-citation analysis, and co-word analysis were then used for the science mapping of DSC literature. Citation analysis was utilized to determine the strength of the links between highly cited articles in the field, co-citation analysis was done to measure the density and strength of the relationships between co-cited studies, and co-word analysis was conducted to specify the concepts with which DSC was linked. The research findings indicate that the number of scientific publications on DSC has increased in recent years, the USA and India are the most productive countries and Supply Chain Management: An International Journal is the most productive and influential journal. The findings also reveal that studies until 2021 focused on supply chain digitalization, digital transformation in the supply chain, innovation, technology and the internet of things while the recent topics covered smart supply chain, production in the supply chain, sustainability, performance, resilience, digital twin, blockchain and 3D printing for the period beyond 2021, taking into account the effects of the Covid-19 pandemic among other things.

Kaynakça

  • Agrawal, P., & Narain, R. (2018). Digital supply chain management: An Overview. IOP Conference Series: Materials Science and Engineering, 455, 1-6.
  • Agrawal, P., & Narain, R. (2023). Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach. International Journal of Productivity and Performance Management, 72(2), 410-439.
  • Agrawal, P., Narain, R., & Ullah, I. (2020). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management, 15(1), 297-317.
  • AlMulhim, A. F. (2021). Smart supply chain and firm performance: the role of digital technologies. Business Process Management Journal, 27(5), 1353-1372.
  • Annosi, M. C., Brunetta, F., Bimbo, F., & Kostoula, M. (2021). Digitalization within food supply chains to prevent food waste. Drivers, barriers and collaboration practices. Industrial Marketing Management, 93, 208-220.
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of marketing research, 14(3), 396-402.
  • Bağış, M. (2021). Bibliyometrik Araştırmalarda Kullanılan Başlıca Analiz Teknikleri. O. Öztürk, & G. Gürler içinde, Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz (s. 97-109). Ankara: Nobel Akademik Yayıncılık.
  • Balakrishnan, A. S., & Ramanathan, U. (2021). The role of digital technologies in supply chain resilience for emerging markets’ automotive sector. Supply Chain Management: An International Journal, 26(6), 654- 671.
  • Barykin, S. Y., Bochkarev, A. A., Kalinina, O. V., & Yadykin, V. K. (2020). Concept for a supply chain digital twin. International Journal of Mathematical, Engineering and Management Sciences, 5(6), 1498.
  • Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57(15-16), 4719-4742.
  • Benabdellah, A. C., Zekhnini, K., Cherrafi, A., Garza-Reyes, J. A., Kumar, A., & Baz, J. E. (2023). Blockchain technology for viable circular digital supplychains: an integrated approach for evaluating the implementation barriers. Benchmarking: An International Journal.
  • Block, J. H., & Fisch, C. (2020). Eight tips and questions for your bibliographic study in business and management research. Management Review Quarterly, 70, 307-312.
  • Block, J., Fisch, C., & Rehan, F. (2020). Religion and entrepreneurship: a map of the field and a bibliometric analysis. Management Review Quarterly, 70, 591-627.
  • Boyack, K. W., & Klavans, R. (2014). Creation of a highly detailed, dynamic, global model and map of science. Journal of the Association for Information Science and Technology, 65(4), 670-685.
  • Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177.
  • Choudhury, A., Behl, A., Sheorey, P. A., & Pal, A. (2021). Digital supply chain to unlock new agility: a TISM approach. Benchmarking: An International Journal, 28(6), 2075-2109.
  • Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402.
  • Creazza, A., Colicchia, C., Spiezia, S., & Dallari, F. (2022). Who cares? Supply chain managers’ perceptions regarding cyber supply chain risk management in the digital transformation era. Supply Chain Management: An International Journal, 27(1), 30-53.
  • Dai, D., Wu, X., Si, F., Feng, Z., & Chu, W. (2022). Complex characteristics analysis of time-delay digital supply chain driven by cybersecurity. Kybernetes.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
  • Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933.
  • Ghadge, A., Er Kara, M., Moradlou, H., & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669-686.
  • Grida, M., & Mostafa, N. A. (2022). Are smart contracts too smart for supply chain 4.0? A blockchain framework to mitigate challenges. Journal of Manufacturing Technology Management, (ahead-of-print).
  • Gutiérrez-Salcedo, M., Martínez, M. Á., Moral-Munoz, J. A., Herrera-Viedma, E., & Cobo, M. J. (2018). Some bibliometric procedures for analyzing and evaluating research fields. Applied intelligence, 48, 1275-1287.
  • Haddud, A., & Khare, A. (2020). Digitalizing supply chains potential benefits and impact on lean operations. International Journal of Lean Six Sigma, 11(4), 731-765.
  • 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.
  • Ivanov, D. (2021). Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic. IEEE Transactions on Engineering Management.
  • Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
  • Ivanov, D., & Dolgui, A. (2022). Stress testing supply chains and creating viable ecosystems. Operations Management Research, 15(1-2), 475-486.
  • Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846.
  • Kunisch, S., Menz, M., Bartunek, J. M., Cardinal, L. B., & Denyer, D. (2018). Feature topic at organizational research methods: how to conduct rigorous and impactful literature reviews?. Organizational Research Methods, 21(3), 519-523.
  • Kurpjuweit, S., Schmidt, C. G., Klöckner, M., & Wagner, S. M. (2021). Blockchain in additive manufacturing and its impact on supply chains. Journal of Business Logistics, 42(1), 46-70.
  • Li, G., Li, X., & Zheng, H. (2023). Discount preannouncement in the digital supply chain era. International Journal of Production Economics, 258, 1-16.
  • Lyall, A., Mercier, P., & Gstettner, S. (2018, June 15). The Death of Supply Chain Management. Harvard Business Review, 2-4.
  • Manavalan, E., & Jayakrishna, K. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering, 127, 925-953.
  • Meier, C. (2016). Digital Supply Chain Management. A. Uhl, & L. A. Gollenia içinde, Digital Enterprise Transformation: A Business-Driven Approach to Leveraging Innovative IT. Routledge Taylor & Francis Group.
  • Meindl, B., Ayala, N. F., Mendonça, J., & Frank, A. G. (2021). The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives. Technological Forecasting and Social Change, 168, 120784. Microsoft. (2020). Esnek Tedarik Zinciri: Güvenilir, Sürdürülebilir, Akıllı. Microsoft Corporation.
  • Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339-346.
  • Mitra, T., Kapoor, R., & Gupta, N. (2022). Studying key antecedents of disruptive technology adoption in the digital supply chain: an Indian perspective. International Journal of Emerging Markets.
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1).
  • Ngo, V. M., Pham, H. C., & Nguyen, H. H. (2022). Drivers of digital supply chain transformation in SMEs and large enterprises – a case of COVID-19 disruption risk. International Journal of Emerging Markets.
  • Ozturk, O. (2021). Bibliometric review of resource dependence theory literature: an overview. Management Review Quarterly, 71(3), 525-552.
  • Öztürk, O., & Gürler, G. (2021). Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. Ankara: Nobel Yayınevi.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
  • Queiroz, M. M., Pereira, S. C., Telles, R., & Machado, M. C. (2021). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities. Benchmarking: An International Journal, 28(5), 1761-1782.
  • Raisinghani, M. S., & Meade, L. L. (2005). Strategic decisions in supply‐chain intelligence using knowledge management: an analytic‐network‐process framework. Supply Chain Management: An International Journal, 10(2), 114-121.
  • Rasool, F., Greco, M., & Grimaldi, M. (2022). Digital supply chain performance metrics: a literature review. Measuring Business Excellence, 26(1), 23-38.
  • Ronda‐Pupo, G. A., & Guerras‐Martin, L. Á. (2012). Dynamics of the evolution of the strategy concept 1962– 2008: a co‐word analysis. Strategic management journal, 33(2), 162-188.
  • Samaranayake, P., Laosirihongthong, T., Adebanjo, D., & Boon-itt, S. (2022). Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain. International Journal of Productivity and Performance Management, (ahead-of-print).
  • Schoenherr, T., & Swink, M. (2015). The roles of supply chain intelligence and adaptability in new product launch success. Decision Sciences, 46(5), 901-936.
  • Schrauf, S., & Berttram, P. (2016). How digitization makes the supply chain more efficient, agile, and customerfocused. PwC.
  • Siurdyban, A., & Møller, C. (2012). Towards intelligent supply chains: A unified framework for business process design. International Journal of Information Systems and Supply Chain Management (IJISSCM), 5(1), 1-19.
  • Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269.
  • Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38, 275-293.
  • Stank, T., Esper, T., Goldsby, T. J., Zinn, W., & Autry, C. (2019). Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship. International Journal of Physical Distribution & Logistics, 49(10), 956-971.
  • Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does Industry 4.0 mean to Supply Chain? Procedia Manufacturing, 13, 1175-1182.
  • Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Van Raan, A. F. (2014). Advances in bibliometric analysis: research performance assessment and science mapping. Bibliometrics Use and Abuse in the Review of Research Performance, 87, 17-28.
  • Weerabahu, W. S., Samaranayake, P., Nakandala, D., & Hurriyet, H. (2022). Digital supply chain research trends: a systematic review and a maturity model for adoption. Benchmarking: An International Journal.
  • Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711-718.
  • Xue, L., Zhang, C., Ling, H., & Zhao, X. (2013). Risk mitigation in supply chain digitization: System modularity and information technology governance. Journal of Management Information Systems, 30(1), 325-352.
  • Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2021). Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), 465-501.
  • Zhou, K., Liu, T., & Zhou, L. (2015, August). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International conference on fuzzy systems and knowledge discovery (FSKD) (pp. 2147-2152). IEEE.
  • Zouari, D., Ruel, S., & Viale, L. (2021). Does digitalising the supply chain contribute to its resilience?. International Journal of Physical Distribution & Logistics Management, 51(2), 149-180.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472.

DİJİTAL TEDARİK ZİNCİRİ LİTERATÜRÜNÜN BİBLİYOMETRİK ANALİZ YÖNTEMİYLE İNCELENMESİ

Yıl 2023, Cilt: 8 Sayı: 2, 453 - 481, 20.12.2023
https://doi.org/10.54452/jrb.1269354

Öz

Bu çalışmanın amacı, bibliyometrik analiz yöntemi kullanılarak Dijital Tedarik Zinciri (DTZ) literatürünün incelenmesidir. 2012 – 2022 yılları arasında Web of Science (WoS) veri tabanında yayınlanan 106 makale analize dahil edilmiştir. Öncelikle, belirli bibliyometrik göstergeler yardımıyla 106 makaleye ilişkin genel bir bakış sunularak alanın önemli dergileri, makaleleri ve üretken yazarlarıyla alanda öne çıkan üniversiteler ve alana öncülük eden ülkeler tespit edilmiştir. Daha sonra atıf analizi, ortak atıf analizi ve ortak kelime analizi gibi bibliyometrik yöntemler kullanılarak DTZ literatürüne ilişkin bilimsel alan haritalaması yapılmıştır. Atıf analiziyle, alanın yüksek atıflı makaleleri arasındaki bağlantı gücü; ortak atıf analiziyle, birlikte atıf yapılan çalışmalar arasındaki ilişkilerin yoğunluğu ve gücü; ortak kelime analiziyle de DTZ’nin ilişkili olduğu kavramlar saptanmıştır. Araştırma bulguları, DTZ ile ilgili son yıllarda bilimsel yayın sayısının arttığını, ABD ve Hindistan’ın en üretken ülkeler, Supply Chain Management: An International Journal’ın ise en üretken ve etkili dergi olduğunu göstermektedir. 2021 yılına kadar olan çalışmaların tedarik zincirinin dijitalleşmesi, tedarik zincirinde dijital dönüşüm, inovasyon, teknoloji ve nesnelerin interneti; 2021 yılından sonra ise Covid-19 pandemisinin de etkisiyle akıllı tedarik zinciri, tedarik zincirinde üretim, sürdürülebilirlik, dirençlilik, dijital ikiz, blok zinciri ve 3D baskı gibi konulara yoğunlaştığı tespit edilmiştir.

Kaynakça

  • Agrawal, P., & Narain, R. (2018). Digital supply chain management: An Overview. IOP Conference Series: Materials Science and Engineering, 455, 1-6.
  • Agrawal, P., & Narain, R. (2023). Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach. International Journal of Productivity and Performance Management, 72(2), 410-439.
  • Agrawal, P., Narain, R., & Ullah, I. (2020). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management, 15(1), 297-317.
  • AlMulhim, A. F. (2021). Smart supply chain and firm performance: the role of digital technologies. Business Process Management Journal, 27(5), 1353-1372.
  • Annosi, M. C., Brunetta, F., Bimbo, F., & Kostoula, M. (2021). Digitalization within food supply chains to prevent food waste. Drivers, barriers and collaboration practices. Industrial Marketing Management, 93, 208-220.
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of marketing research, 14(3), 396-402.
  • Bağış, M. (2021). Bibliyometrik Araştırmalarda Kullanılan Başlıca Analiz Teknikleri. O. Öztürk, & G. Gürler içinde, Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz (s. 97-109). Ankara: Nobel Akademik Yayıncılık.
  • Balakrishnan, A. S., & Ramanathan, U. (2021). The role of digital technologies in supply chain resilience for emerging markets’ automotive sector. Supply Chain Management: An International Journal, 26(6), 654- 671.
  • Barykin, S. Y., Bochkarev, A. A., Kalinina, O. V., & Yadykin, V. K. (2020). Concept for a supply chain digital twin. International Journal of Mathematical, Engineering and Management Sciences, 5(6), 1498.
  • Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57(15-16), 4719-4742.
  • Benabdellah, A. C., Zekhnini, K., Cherrafi, A., Garza-Reyes, J. A., Kumar, A., & Baz, J. E. (2023). Blockchain technology for viable circular digital supplychains: an integrated approach for evaluating the implementation barriers. Benchmarking: An International Journal.
  • Block, J. H., & Fisch, C. (2020). Eight tips and questions for your bibliographic study in business and management research. Management Review Quarterly, 70, 307-312.
  • Block, J., Fisch, C., & Rehan, F. (2020). Religion and entrepreneurship: a map of the field and a bibliometric analysis. Management Review Quarterly, 70, 591-627.
  • Boyack, K. W., & Klavans, R. (2014). Creation of a highly detailed, dynamic, global model and map of science. Journal of the Association for Information Science and Technology, 65(4), 670-685.
  • Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177.
  • Choudhury, A., Behl, A., Sheorey, P. A., & Pal, A. (2021). Digital supply chain to unlock new agility: a TISM approach. Benchmarking: An International Journal, 28(6), 2075-2109.
  • Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402.
  • Creazza, A., Colicchia, C., Spiezia, S., & Dallari, F. (2022). Who cares? Supply chain managers’ perceptions regarding cyber supply chain risk management in the digital transformation era. Supply Chain Management: An International Journal, 27(1), 30-53.
  • Dai, D., Wu, X., Si, F., Feng, Z., & Chu, W. (2022). Complex characteristics analysis of time-delay digital supply chain driven by cybersecurity. Kybernetes.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
  • Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933.
  • Ghadge, A., Er Kara, M., Moradlou, H., & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669-686.
  • Grida, M., & Mostafa, N. A. (2022). Are smart contracts too smart for supply chain 4.0? A blockchain framework to mitigate challenges. Journal of Manufacturing Technology Management, (ahead-of-print).
  • Gutiérrez-Salcedo, M., Martínez, M. Á., Moral-Munoz, J. A., Herrera-Viedma, E., & Cobo, M. J. (2018). Some bibliometric procedures for analyzing and evaluating research fields. Applied intelligence, 48, 1275-1287.
  • Haddud, A., & Khare, A. (2020). Digitalizing supply chains potential benefits and impact on lean operations. International Journal of Lean Six Sigma, 11(4), 731-765.
  • 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.
  • Ivanov, D. (2021). Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic. IEEE Transactions on Engineering Management.
  • Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
  • Ivanov, D., & Dolgui, A. (2022). Stress testing supply chains and creating viable ecosystems. Operations Management Research, 15(1-2), 475-486.
  • Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846.
  • Kunisch, S., Menz, M., Bartunek, J. M., Cardinal, L. B., & Denyer, D. (2018). Feature topic at organizational research methods: how to conduct rigorous and impactful literature reviews?. Organizational Research Methods, 21(3), 519-523.
  • Kurpjuweit, S., Schmidt, C. G., Klöckner, M., & Wagner, S. M. (2021). Blockchain in additive manufacturing and its impact on supply chains. Journal of Business Logistics, 42(1), 46-70.
  • Li, G., Li, X., & Zheng, H. (2023). Discount preannouncement in the digital supply chain era. International Journal of Production Economics, 258, 1-16.
  • Lyall, A., Mercier, P., & Gstettner, S. (2018, June 15). The Death of Supply Chain Management. Harvard Business Review, 2-4.
  • Manavalan, E., & Jayakrishna, K. (2019). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering, 127, 925-953.
  • Meier, C. (2016). Digital Supply Chain Management. A. Uhl, & L. A. Gollenia içinde, Digital Enterprise Transformation: A Business-Driven Approach to Leveraging Innovative IT. Routledge Taylor & Francis Group.
  • Meindl, B., Ayala, N. F., Mendonça, J., & Frank, A. G. (2021). The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives. Technological Forecasting and Social Change, 168, 120784. Microsoft. (2020). Esnek Tedarik Zinciri: Güvenilir, Sürdürülebilir, Akıllı. Microsoft Corporation.
  • Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339-346.
  • Mitra, T., Kapoor, R., & Gupta, N. (2022). Studying key antecedents of disruptive technology adoption in the digital supply chain: an Indian perspective. International Journal of Emerging Markets.
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1).
  • Ngo, V. M., Pham, H. C., & Nguyen, H. H. (2022). Drivers of digital supply chain transformation in SMEs and large enterprises – a case of COVID-19 disruption risk. International Journal of Emerging Markets.
  • Ozturk, O. (2021). Bibliometric review of resource dependence theory literature: an overview. Management Review Quarterly, 71(3), 525-552.
  • Öztürk, O., & Gürler, G. (2021). Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz. Ankara: Nobel Yayınevi.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
  • Queiroz, M. M., Pereira, S. C., Telles, R., & Machado, M. C. (2021). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities. Benchmarking: An International Journal, 28(5), 1761-1782.
  • Raisinghani, M. S., & Meade, L. L. (2005). Strategic decisions in supply‐chain intelligence using knowledge management: an analytic‐network‐process framework. Supply Chain Management: An International Journal, 10(2), 114-121.
  • Rasool, F., Greco, M., & Grimaldi, M. (2022). Digital supply chain performance metrics: a literature review. Measuring Business Excellence, 26(1), 23-38.
  • Ronda‐Pupo, G. A., & Guerras‐Martin, L. Á. (2012). Dynamics of the evolution of the strategy concept 1962– 2008: a co‐word analysis. Strategic management journal, 33(2), 162-188.
  • Samaranayake, P., Laosirihongthong, T., Adebanjo, D., & Boon-itt, S. (2022). Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain. International Journal of Productivity and Performance Management, (ahead-of-print).
  • Schoenherr, T., & Swink, M. (2015). The roles of supply chain intelligence and adaptability in new product launch success. Decision Sciences, 46(5), 901-936.
  • Schrauf, S., & Berttram, P. (2016). How digitization makes the supply chain more efficient, agile, and customerfocused. PwC.
  • Siurdyban, A., & Møller, C. (2012). Towards intelligent supply chains: A unified framework for business process design. International Journal of Information Systems and Supply Chain Management (IJISSCM), 5(1), 1-19.
  • Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269.
  • Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38, 275-293.
  • Stank, T., Esper, T., Goldsby, T. J., Zinn, W., & Autry, C. (2019). Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship. International Journal of Physical Distribution & Logistics, 49(10), 956-971.
  • Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does Industry 4.0 mean to Supply Chain? Procedia Manufacturing, 13, 1175-1182.
  • Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Van Raan, A. F. (2014). Advances in bibliometric analysis: research performance assessment and science mapping. Bibliometrics Use and Abuse in the Review of Research Performance, 87, 17-28.
  • Weerabahu, W. S., Samaranayake, P., Nakandala, D., & Hurriyet, H. (2022). Digital supply chain research trends: a systematic review and a maturity model for adoption. Benchmarking: An International Journal.
  • Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711-718.
  • Xue, L., Zhang, C., Ling, H., & Zhao, X. (2013). Risk mitigation in supply chain digitization: System modularity and information technology governance. Journal of Management Information Systems, 30(1), 325-352.
  • Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2021). Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), 465-501.
  • Zhou, K., Liu, T., & Zhou, L. (2015, August). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International conference on fuzzy systems and knowledge discovery (FSKD) (pp. 2147-2152). IEEE.
  • Zouari, D., Ruel, S., & Viale, L. (2021). Does digitalising the supply chain contribute to its resilience?. International Journal of Physical Distribution & Logistics Management, 51(2), 149-180.
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472.
Toplam 67 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Makaleler
Yazarlar

Murat Baştuğ 0000-0002-6406-2468

Ramazan Kayhan 0000-0002-1673-0791

Erken Görünüm Tarihi 20 Aralık 2023
Yayımlanma Tarihi 20 Aralık 2023
Gönderilme Tarihi 22 Mart 2023
Kabul Tarihi 16 Kasım 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 2

Kaynak Göster

APA Baştuğ, M., & Kayhan, R. (2023). DİJİTAL TEDARİK ZİNCİRİ LİTERATÜRÜNÜN BİBLİYOMETRİK ANALİZ YÖNTEMİYLE İNCELENMESİ. Journal of Research in Business, 8(2), 453-481. https://doi.org/10.54452/jrb.1269354