Journal Screenshot

International Journal of Academic Research in Economics and Management Sciences

Open Access Journal

ISSN: 2226-3624

Project Management in Automotive Manufacturing Enterprises: A Review Based on Bibliometric Analysis

Wang Shuning, Fu Qiang

http://dx.doi.org/10.6007/IJAREMS/v15-i1/27508

Open access

Project management has become increasingly critical in automotive manufacturing enterprises due to rising product complexity, digital transformation, and global supply chain uncertainty. Although a growing body of research has examined project management practices in the automotive sector, existing studies remain fragmented across multiple disciplines, and a systematic synthesis of the knowledge structure is still lacking. To address this gap, this study conducts a comprehensive bibliometric review of project management research in automotive manufacturing enterprises based on 247 publications retrieved from the Web of Science Core Collection. Using performance analysis and science mapping techniques, this study examines publication trends, country collaboration patterns, influential journals and authors, and keyword co-occurrence and clustering structures. The results reveal a sustained growth in research output since the mid-2010s, accompanied by an increasingly international and polycentric collaboration network dominated by Germany, the United States, and China. The cited journal and author analyses indicate that the intellectual foundation of the field is highly interdisciplinary, integrating project management, operations management, production economics, and supply chain research. Keyword co-occurrence and clustering analyses further demonstrate a clear thematic evolution from early emphases on risk management and decision-making models toward more integrated perspectives encompassing supply chain coordination, dynamic capabilities, sustainability, and electric vehicle–related issues. By systematically mapping the intellectual structure and thematic evolution of the literature, this study contributes to a clearer understanding of how project management research in automotive manufacturing enterprises has developed over time. The findings provide valuable insights for both scholars and practitioners and highlight promising directions for future research in the context of an increasingly complex and dynamic automotive industry.

Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), 37–44.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1–14. https://doi.org/10.1108/09574090410700275
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
Conforto, E. C., Salum, F., Amaral, D. C., da Silva, S. L., & de Almeida, L. F. M. (2016). Can agile project management be adopted by industries other than software development? Project Management Journal, 47(3), 21–34. https://doi.org/10.1002/pmj.21557
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. https://doi.org/10.1016/j.jbusres.2021.04.070
Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28(1), 58–71. https://doi.org/10.1016/j.jom.2009.06.001
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Hofmann, E., Strewe, U. M., & Bosia, N. (2019). Supply chain finance and blockchain technology: The case of reverse securitisation. Springer. https://doi.org/10.1007/978-3-319-62371-9
Ivanov, D. (2020). Viable supply chain model: Integrating agility, resilience and sustainability perspectives—Lessons from and thinking beyond the COVID-19 pandemic. International Journal of Production Research, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727
Joslin, R., & Müller, R. (2015). A new framework for determining a fit between a project management methodology and project characteristics. International Journal of Project Management, 33(6), 1377–1392. https://doi.org/10.1016/j.ijproman.2015.03.005
Kerzner, H. (2017). Project management: A systems approach to planning, scheduling, and controlling (12th ed.). Wiley.
Killen, C. P., Hunt, R. A., & Kleinschmidt, E. J. (2012). Project portfolio management for product innovation. International Journal of Quality & Reliability Management, 29(5), 543–566. https://doi.org/10.1108/02656711211230559
Liao, Y., Deschamps, F., Loures, E. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0: A systematic literature review and research agenda. International Journal of Production Research, 55(12), 3609–3629. https://doi.org/10.1080/00207543.2017.1308576
Martinsuo, M. (2013). Project portfolio management in practice and in context. International Journal of Project Management, 31(6), 794–803. https://doi.org/10.1016/j.ijproman.2012.10.013
Maylor, H., Turner, N., & Murray-Webster, R. (2018). Toward a capability-based view of project management. International Journal of Project Management, 36(3), 366–379. https://doi.org/10.1016/j.ijproman.2017.07.005
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5
Silvius, G., & Schipper, R. (2014). Sustainability in project management: A literature review and impact analysis. International Journal of Project Management, 32(1), 63–77. https://doi.org/10.1016/j.ijproman.2013.03.006
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488. https://doi.org/10.1016/j.ijpe.2005.12.006
Teece, D. J. (2014). The foundations of enterprise performance: Dynamic and ordinary capabilities in an (economic) theory of firms. Academy of Management Perspectives, 28(4), 328–352. https://doi.org/10.5465/amp.2013.0116
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
Tortorella, G. L., Giglio, R., & Van Dun, D. H. (2020). Industry 4.0 adoption as a moderator of the impact of lean practices on operational performance. Journal of Manufacturing Technology Management, 31(2), 439–458. https://doi.org/10.1108/JMTM-01-2019-0005
Turner, J. R. (2014). The handbook of project-based management (4th ed.). McGraw-Hill.
Ulrich, K. T., & Eppinger, S. D. (2016). Product design and development (6th ed.). McGraw-Hill Education.
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2017). How “big data” can make big impact: Findings from a systematic review and a longitudinal case study. Journal of Business Research, 70, 234–246. https://doi.org/10.1016/j.jbusres.2016.08.009
Zupic, I., & ?ater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

Shuning, W., & Qiang, F. (2026). Project Management in Automotive Manufacturing Enterprises: A Review Based on Bibliometric Analysis. International Journal of Academic Research in Economics and Management Sciences, 15(1), 161–179.