A Scientific mapping of the supply chain and technological application in the automotive industry
DOI:
https://doi.org/10.21803/penamer.15.30.497Keywords:
Supply chain, logistics, environment, information technology, automotive vehiclesAbstract
Introduction: The automotive industry implements and develops sustainability strategies to contribute to the environment in reducing the use of fossil fuels and greenhouse effect, which focus on improving the supply chain, and thus increase profitability, establish the ratio of risks in the operation and reduce costs. Objective: to carry out a scientific mapping of the supply chain and the application of technology in the automotive industry from 2010 to 2022. Methodology: information was collected through the Scopus database, and with the bibliometric tool Rstudio, records related to the number of publications, authors, journals, related institutions and countries on the chosen topic were analyzed. Results: Network analysis and co-citation analysis among authors are presented, and the focus, use and structure of the automotive sector are established and research areas are identified to identify future trends. Conclusions: three clusters are presented corresponding to knowledge, innovation and relationship strategies, risk management and control, and challenges in the adoption of information technologies and a line for future research.
Downloads
References
Adebanjo, D. (2008). Intermediation in downstream automotive supply chains a review of the role of internet technology. International Journal of Automotive Technology and Management, 8(1), 42.
Alkhateeb, A., Catal, C., Kar, G., & Mishra, A. (2022). Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review. Sensors , 22(4). https://doi.org/10.3390/s22041304
Alptekin, B., Tunaboylu, B., Zaim, S., & Perlo, P. (2021). Smart manufacturing of electric vehicles. In Lecture Notes in Mechanical Engineering (pp. 767–773). Springer International Publishing.
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
Balinado, J. R. O., & Young, M. N. (2020, September 27). The impact of technology on service supply chain of Toyota dasmarinas-cavite: A comparative study. 2020 7th International Conference on Frontiers of Industrial Engineering (ICFIE). 2020 7th International Conference on Frontiers of Industrial Engineering (ICFIE), Singapore. https://doi.org/10.1109/icfie50845.2020.9266736
Bartnik, R., & Park, Y. (2018). Technological change, information processing and supply chain integration. Benchmarking An International Journal, 25(5), 1279–1301.
Becker, M. C., & Zirpoli, F. (2003). Knowledge integration in new product development: the FIAT Autocase. International Journal of Automotive Technology and Management, 3(1/2), 30.
Bennett, D., & Klug, F. (2012). Logistics supplier integration in the automotive industry. International Journal of Operations & Production Management, 32(11), 1281–1305.
Bhatia, M. S., Jakhar, S. K., Mangla, S. K., & Gangwani, K. K. (2020). Critical factors to environment management in a closed loop supply chain. Journal of Cleaner Production, 255(120239), 120239.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics , 2008(10), P10008.
Bond, M., Zawacki-Richter, O., & Nichols, M. (2019). Revisiting five decades of educational technology research: A content and authorship analysis of the British Journal of Educational Technology. British Journal of Educational Technology: Journal of the Council for Educational Technology, 50(1), 12–63.
Buitrago, S., Duque, P. L., & Robledo, S. (2019). Branding Corporativo: una revisión bibliográfica. Económicas CUC, 41(1). https://doi.org/10.17981/econcuc.41.1.2020.org.1
Chandra, C., & Kamrani, A. K. (2003). Journal of Intelligent Manufacturing, 14(6), 557–580.
Charles, A., Hofer, A., Elkaseer, A., & Scholz, S. G. (2022). Additive manufacturing in the automotive industry and the potential for driving the Green and electric transition. In Sustainable Design and Manufacturing (pp. 339–346). Springer Singapore.
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1–14.
Corallo, A., Latino, M. E., Menegoli, M., & Pontrandolfo, P. (2020). A systematic literature review to explore traceability and lifecycle relationship. International Journal of Production Research, 58(15), 4789–4807.
Croteau, A.-M., Léger, P.-M., & Cassivi, L. (2008). The role of life cycle concepts in the assessment of interorganizational alignment. Industrial Management + Data Systems, 108(2), 145–161.
Delic, M., Eyers, D. R., & Mikulic, J. (2019). Additive manufacturing: empirical evidence for supply chain integration and performance from the automotive industry. Supply Chain Management: An International Journal, 24(5), 604–621.
Demiroz, F., & Haase, T. W. (2019). The concept of resilience: a bibliometric analysis of the emergency and disaster management literature. Local Government Studies, 45(3), 308–327.
Dias, G. C., Hernandez, C. T., & Oliveira, U. R. de. (2020). Supply chain risk management and risk ranking in the automotive industry. Gestão & Produção, 27(1). https://doi.org/10.1590/0104-530x3800-20
dos Santos, N. A., Ruggero, S. M., Sacomano, J. B., Estender, A. C., & da Silva, M. T. (2020). The impact of industry 4.0 connectivity on the collaboration along Brazilian automotive supply chain. In IFIP Advances in Information and Communication Technology (pp. 381–388). Springer International Publishing.
Dugoua, E., & Dumas, M. (2021). Green product innovation in industrial networks: A theoretical model. Journal of Environmental Economics and Management, 107(102420), 102420.
Duque, P., & Cervantes-Cervantes, L.-S. (2019). Responsabilidad Social Universitaria: una revisión sistemática y análisis bibliométrico. Estudios Gerenciales, 451–464.
Dyer, J. H., & Hatch, N. W. (2006). Relation-specific capabilities and barriers to knowledge transfers: creating advantage through network relationships. Strategic Management Journal, 27(8), 701–719.
Fischer, J.-H., Thomé, A. M. T., Scavarda, L. F., Hellingrath, B., & Martins, R. (2016). Development and application of a maturity measurement framework for supply chain flexibility. Procedia CIRP, 41, 514–519.
Golinska, P., & Kawa, A. (2011). Remanufacturing in automotive industry: Challenges and limitations. Journal of Industrial Engineering and Management, 4(3), 453–466.
Gunasekaran, A., & Ngai, E. W. T. (2004). Information systems in supply chain integration and management. European Journal of Operational Research, 159(2), 269–295.
Gupta, S., Amaba, B., McMahon, M., & Gupta, K. (2021, May 24). The evolution of artificial intelligence in the automotive industry. 2021 Annual Reliability and Maintainability Symposium (RAMS). 2021 Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA. https://doi.org/10.1109/rams48097.2021.9605795
Gurzki, H., & Woisetschläger, D. M. (2017). Mapping the luxury research landscape: A bibliometric citation analysis. Journal of Business Research, 77, 147–166.
Hatakeyama, K., & Guarnieri, P. (n.d.). Level of knowledge and formalization of logistics and SCM in the Brazilian automotive industries suppliers. In Complex Systems Concurrent Engineering (pp. 783–791). https://doi.org/10.1007/978-1-84628-976-7_86
Hewitt, F. (1994). Supply Chain Redesign. International Journal of Logistics Management, 5(2), 1–10.
Hong-kit Yim, F., Forman, H., & Kwa, H. (2013). Factors affecting new product post-adoption behavior in a major US automotive supply chain: an examination of antecedents to technology internalization. Journal of Business & Industrial Marketing, 28(2), 147–159.
Ismail, F., Aziz, A. M. N., & Ali, W. M. S. W. M. (2017). Implement service innovation through STOF model towards green economy in automotive industry. Advanced Science Letters, 23(9), 8903–8906.
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.
Jiang, P., Hu, Y.-C., Yen, G.-F., & Tsao, S.-J. (2018). Green supplier selection for sustainable development of the automotive industry using grey decision-making. Sustainable Development, 26(6), 890–903.
Kamariah Kamaruddin, N., & Mohamed Udin, Z. (2009). Supply chain technology adoption in Malaysian automotive suppliers. International Journal of Manufacturing Technology and Management, 20(3), 385–403.
Kırılmaz, O., & Erol, S. (2017). A proactive approach to supply chain risk management: Shifting orders among suppliers to mitigate the supply side risks. Journal of Purchasing and Supply Management, 23(1), 54–65.
Kleindorfer, P. R., Singhal, K., & Wassenhove, L. N. (2009). Sustainable operations management. Production and Operations Management, 14(4), 482–492.
Kotabe, M., Martin, X., & Domoto, H. (2003). Gaining from vertical partnerships: knowledge transfer, relationship duration, and supplier performance improvement in the U.S. and Japanese automotive industries. Strategic Management Journal, 24(4), 293–316.
Kuntner, T., & Teichert, T. (2016). The scope of price promotion research: An informetric study. Journal of Business Research, 69(8), 2687–2696.
Lee, J., & Berente, N. (2012). Digital innovation and the division of innovative labor: Digital controls in the automotive industry. Organization Science, 23(5), 1428–1447.
Li, G., Li, L., Choi, T.-M., & Sethi, S. P. (2020). Green supply chain management in Chinese firms: Innovative measures and the moderating role of quick response technology. Journal of Operations Management, 66(7-8), 958–988.
Lin, H.-T., Lo, W.-S., & Chiang, C.-L. (2006, October). Using RFID in supply chain management for customer service. 2006 IEEE International Conference on Systems, Man and Cybernetics. 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan. https://doi.org/10.1109/icsmc.2006.384908
Manuj, I., & Mentzer, J. T. (2008a). Global supply chain risk management. Journal of Business Logistics, 29(1), 133–155.
Manuj, I., & Mentzer, J. T. (2008b). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38(3), 192–223.
Markov, K., & Vitliemov, P. (2020). Logistics 4.0 and supply chain 4.0 in the automotive industry. IOP Conference Series. Materials Science and Engineering, 878(1), 012047.
Markulik, Š., Sinay, J., & Pačaiová, H. (2019). Quality assurance in the automotive industry and industry 4.0. In Smart Technology Trends in Industrial and Business Management (pp. 217–225). Springer International Publishing.
Merediz-Solà, I., & Bariviera, A. F. (2019). A bibliometric analysis of bitcoin scientific production. Research in International Business and Finance, 50, 294–305.
Min, S., Zacharia, Z. G., & Smith, C. D. (2019). Defining supply chain management: In the past, present, and future. Journal of Business Logistics, 40(1), 44–55.
Moos, O., Pretorius, M. W., & Steyn, J. L. (2007, August). Industry and government measures to promote forward integration of automotive supplier R&D from developing countries to multinational OEMs. PICMET ’07 - 2007 Portland International Conference on Management of Engineering & Technology. PICMET ’07 - 2007 Portland International Conference on Management of Engineering & Technology, Portland, OR, USA. https://doi.org/10.1109/picmet.2007.4349350
Murphy, F., Pütz, F., Mullins, M., Rohlfs, T., Wrana, D., & Biermann, M. (2019). The impact of autonomous vehicle technologies on product recall risk. International Journal of Production Research, 57(20), 6264–6277.
Naim, M. M., Childerhouse, P., Disney, S. M., & Towill, D. R. (2002). A supply chain diagnostic methodology: determining the vector of change. Computers & Industrial Engineering, 43(1-2), 135–157.
Nayal, K., Raut, R. D., Yadav, V. S., Priyadarshinee, P., & Narkhede, B. E. (2021). The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era. Business Strategy and the Environment. https://doi.org/10.1002/bse.2921
Ohri, A. (2012). R for Business Analytics. Springer Science & Business Media.
Pilkington, A., & Dyerson, R. (2002). Extending simultaneous engineering: electric vehicle supply chains and new product development. International Journal of Technology Management = Journal International de La Gestion Technologique, 23(1/2/3), 74.
Pizzi, S., Caputo, A., Corvino, A., & Venturelli, A. (2020). Management research and the UN sustainable development goals (SDGs): A bibliometric investigation and systematic review. Journal of Cleaner Production, 276, 124033.
Power, D., & Singh, P. (2007). The e-integration dilemma: The linkages between Internet technology application, trading partner relationships and structural change. Journal of Operations Management, 25(6), 1292–1310.
Puck, J., & Filatotchev, I. (2020). Finance and the multinational company: Building bridges between finance and global strategy research. In Global Strategy Journal (Vol. 10, Issue 4, pp. 655–675). https://doi.org/10.1002/gsj.1330
Schmitt, A., & Van Biesebroeck, J. (2013). Proximity strategies in outsourcing relations: The role of geographical, cultural and relational proximity in the European automotive industry. Journal of International Business Studies, 44(5), 475–503.
Schulze, A., Paul MacDuffie, J., & Taube, F. A. (2015). Introduction: knowledge generation and innovation diffusion in the global automotive industry--change and stability during turbulent times. Industrial and Corporate Change, 24(3), 603–611.
Shafique, M. (2013). Thinking inside the box? Intellectual structure of the knowledge base of innovation research (1988-2008). Strategic Management Journal, 34(1), 62–93.
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. American Society for Information Science, 24(4), 265–269.
Smith, A. D. (2012). Green Supply Chain Management and consumer sensitivity to greener and leaner options in the automotive industry. International Journal of Logistics Systems and Management, 12(1), 1.
Stroeken, J. H. M. (2001). Information technology, innovation and supply chain structure. International Journal of Services, Technology and Management, 2(3/4), 269.
Taghva, M. R., Jafarian, A., & Shafiei Nikabadi, M. (2012). The Role of Information Security Management Systems in Supply Chain Performance Improvement. Iranian Journal of Information Processing and Management, 27(1), 463–482.
Takeishi, A. (2001). Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strategic Management Journal, 22(5), 403–433.
Takeishi, A. (2002). Knowledge partitioning in the interfirm division of labor: The case of automotive product development. Organization Science, 13(3), 321–338.
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
Trautrims, A., MacCarthy, B. L., & Okade, C. (2017). Building an innovation-based supplier portfolio: The use of patent analysis in strategic supplier selection in the automotive sector. International Journal of Production Economics, 194, 228–236.
Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18), 5592–5623.
Vickery, S. K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships. Journal of Operations Management, 21(5), 523–539.
Wallis, W. D. (2007). A beginner’s guide to graph theory (2nd ed.) [PDF]. Birkhauser Boston.
Wang, J. (2009). Automotive supply chain performance influencing path analysis based on fuzzy Petri net. 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, Xian, China. https://doi.org/10.1109/iciii.2009.94
Wang-Mlynek, L., & Foerstl, K. (2020). Barriers to multi-tier supply chain risk management. International Journal of Logistics Management, 31(3), 465–487.
Wang, Y.-S. (2021). The importance of big data in the automotive industry. In Modern Industrial IoT, Big Data and Supply Chain (pp. 255–260). Springer Singapore.
Wasserman, S., Faust, K., & Stanley (University of Illinois Wasserman, Urbana-Champaign). (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
Wiengarten, F., Humphreys, P., McKittrick, A., & Fynes, B. (2013). Investigating the impact of e‐business applications on supply chain collaboration in the German automotive industry. International Journal of Operations & Production Management, 33(1), 25–48.
Xia, Y., & Li-Ping Tang, T. (2011). Sustainability in supply chain management: suggestions for the auto industry. Management Decision, 49(4), 495–512.
Yang, H., Rao, P., Simpson, T., Lu, Y., Witherell, P., Nassar, A. R., Reutzel, E., & Kumara, S. (2021). Six-Sigma Quality Management of Additive Manufacturing. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 109(4). https://doi.org/10.1109/JPROC.2020.3034519
Yang, S., Keller, F. B., & Zheng, L. (2017). Social Network Analysis: Methods and Examples. https://doi.org/10.4135/9781071802847
Yerpude, S., & Singhal, T. K. (2020). Value enablement of collaborative supply chain environment embedded with the Internet of Things. International Journal of Intelligent Information Technologies, 16(3), 19–51.
Zhu, J., & Liu, W. (2020). A tale of two databases: the use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321–335.
Zuluaga, M., Robledo, S., Osorio Zuluaga, G. A., Yathe, L., Gonzalez, D., & Taborda, G. (2016). Metabolómica y Pesticidas: Revisión sistemática de literatura usando teoría de grafos para el análisis de referencias. Nova, 14(25), 121–138.
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472.
Zuschke, N. (2020). An analysis of process-tracing research on consumer decision-making. Journal of Business Research, 111, 305–320.
Downloads
Published
Versions
- 2022-12-14 (3)
- 2024-06-05 (2)
- 2022-12-14 (1)
Issue
Section
License
Copyright (c) 2022 Pensamiento Americano
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The author or authors of an article accepted for publication in the Journal Pensamiento Americano will transfer all of the patrimonial rights to the American University Corporation free of charge, within which are included: the right to edit, publish, reproduce and distribute both print media as digital, in addition to include in article in international indexes and / or databases, likewise, the Editorial Seal is authorized to use the images, tables and / or any graphic material presented in the article for the design of covers or posters from the same magazine. By assuming the patrimonial rights of the article, it may not be partially or totally reproduced in any printed or digital media without its express permission.
AUTHORITY ASPECTS
For the Pensamiento Americano Journal, all the authors of an article have made substantial contributions to the research and the manuscript, and they share the responsibility when the article presents errors, fraud in some way or violations of copyright.
After submitting an article, the journal does not accept the addition, deletion or change in the order of the authors, in addition we reserve the right to release the article when it has been submitted to the journal and under no circumstances will American Thought accept the article. withdrawal of an article during any phase of the editorial process
