Project capabilities in industry 4.0: future research opportunities in project management




Industry 4.0, Innovation, Capabilities, Collaboration, Project management.


Purpose: Industry 4.0 is transforming companies around the world through business integration, implemented by disruptive technologies, and accompanied by the transformation of data into information and intelligence. This research aims to explore literature about capabilities and project management, in the context of industry 4.0 manufactures, to identify research opportunities in project management.

Methodology / Approach: A Systematic Literature Review (SLR) analyzed 55 articles discussing project capabilities developed by industry 4.0 manufactures.

Originality / Value: This study fills a research gap, as no literature review has reported state of the art knowledge about project capabilities in the context of industry 4.0.

Findings: Project capabilities were summarized in six perspectives: project management, business models, innovation, skills of project professionals, technologies, and data management. Project management surfaces as a structural capability to implement industry 4.0. Besides, collaboration among parties amalgamates companies in new business models, as well as project professionals and teams while they implement new processes, products, and technologies.

Theoretical implications: This study uncovers opportunities for future research related to customer and data-centered business transformations of industry 4.0, including how to manage projects in collaborative business networks and implement fast-paced innovation.


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Author Biographies

Danielle Cruz Paiva, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil).

Mestrado profissional em Gestão de Projetos pela Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil). 

Roque Rabechini Jr., Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil).

Doutor em Engenharia de Produção pela Escola Politécnica da Universidade de São Paulo - POLI/USP, São Paulo, (Brasil). Pofessor do Programa de Pós-Graduação em Administração na Universidade Nove de Julho - UNINOVE, São Paulo.


Agostini, L., & Nosella, A. (2019). The adoption of Industry 4.0 technologies in SMEs: Results of an international study. Management Decision, ahead-of-print(ahead-of-print).

Archer, N. P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selection. International Journal of Project Management, 17(4), 207–216.

Babiceanu, R. F., & Seker, R. (2016). Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. Computers in Industry, 81, 128–137.

Bag, S. (2018). Supplier Management and Sustainable Innovation in Supply Networks: An Empirical Study. Global Business Review, 19(3_suppl), 176–195.

Bernstein, W. Z., Hedberg, T. D., Helu, M., & Feeney, A. B. (2018). Contextualising manufacturing data for lifecycle decision-making. International Journal of Product Lifecycle Management, 10(4), 326–347.

Bertoncel, T., Erenda, I., Bach, M. P., Roblek, V., & Meško, M. (2018). A Managerial Early Warning System at a Smart Factory: An Intuitive Decision-making Perspective. Systems Research and Behavioral Science, 35(4), 406–416.

Bertoncel, T., Erenda, I., & Mesko, M. (2018). Best Practices. Managerial Early Warning System as Best Practice for Project Selection at a Smart Factory., 20(49), 805.

Bertoncel, T., & Meško, M. (2019, abril 1). Early Warning Systems in Industry 4.0: A Bibliometric and Topic Analysis [Article]. International Journal of E-Services and Mobile Applications (IJESMA).

Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels – case of the defence sector. Production Planning & Control, 29(12), 1030–1043.

Bredillet, C., Tywoniak, S., & Tootoonchy, M. (2018). Exploring the dynamics of project management office and portfolio management co-evolution: A routine lens. International Journal of Project Management, 36(1), 27–42.

Bressanelli, G., Adrodegari, F., Perona, M., & Saccani, N. (2018). Exploring How Usage-Focused Business Models Enable Circular Economy through Digital Technologies. Sustainability, 10(3), 639.

Briones-Peñalver, A. J., Bernal-Conesa, J. A., & de Nieves Nieto, C. (2019). Knowledge and innovation management model. Its influence on technology transfer and performance in Spanish Defence industry. International Entrepreneurship and Management Journal.

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599–616.

Caggiano, A., & Teti, R. (2018). Digital factory technologies for robotic automation and enhanced manufacturing cell design. Cogent Engineering, 5(1), 1426676.

Campatelli, G., Richter, A., & Stocker, A. (2016). Participative Knowledge Management to Empower Manufacturing Workers. International Journal of Knowledge Management (IJKM), 12(4), 37–50.

Caruso, L. (2018). Digital innovation and the fourth industrial revolution: Epochal social changes? AI & SOCIETY, 33(3), 379–392.

Chehbi-Gamoura, S., Derrouiche, R., Damand, D., & Barth, M. (2019). Insights from big Data Analytics in supply chain management: An all-inclusive literature review using the SCOR model. Production Planning & Control, 0(0), 1–27.

Costa, A. B., Zoltowski, A. P. C., Koller, S. H., & Teixeira, M. A. P. (2015). Construção de uma escala para avaliar a qualidade metodológica de revisões sistemáticas. Ciência & Saúde Coletiva, 20(8), 2441–2452.

Creswell, J. W. (2010). Research Design (3rd ed).

Damanpour, F. (1991). Organizational Innovation: A Meta-Analysis of Effects of Determinants and Moderators. The Academy of Management Journal, 34(3), 555–590.

de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change, 132, 18–25.

Dewa, M. T., Merwe, A. F. V. der, & Matope, S. (2018). A DECISION-MAKING FRAMEWORK FOR IMPLEMENTING DIGITALISATION IN THE SOUTH AFRICAN TOOLING INDUSTRY. The South African Journal of Industrial Engineering, 29(4), 245–262.

Djuric, A. M., Urbanic, R. J., & Rickli, J. L. (2016). A Framework for Collaborative Robot (CoBot) Integration in Advanced Manufacturing Systems. SAE International Journal of Materials and Manufacturing, 9(2), 457–464.

Ellen MacArthur Foundation, & Google. (2019). Artificial intelligence and the circular economy.

Ferreira, J., Sarraipa, J., Ferro-Beca, M., Agostinho, C., Costa, R., & Jardim-Goncalves, R. (2017). End-to-end manufacturing in factories of the future. International Journal of Computer Integrated Manufacturing, 30(1), 121–133.

Fettermann, D. C., Cavalcante, C. G. S., Almeida, T. D. de, & Tortorella, G. L. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 35(4), 255–268.

Garcia-Muiña, F. E., González-Sánchez, R., Ferrari, A. M., Volpi, L., Pini, M., Siligardi, C., & Settembre-Blundo, D. (2019). Identifying the Equilibrium Point between Sustainability Goals and Circular Economy Practices in an Industry 4.0 Manufacturing Context Using Eco-Design. Social Sciences, 8(8), 241.

Goh, Y. M., Micheler, S., Sanchez-Salas, A., Case, K., Bumblauskas, D., & Monfared, R. (2019). A variability taxonomy to support automation decision-making for manufacturing processes. Production Planning & Control, 0(0), 1–17.

Gunckel, P. V., Kristjanpoller, F., López‐Campos, M., Márquez, A. C., & Pascual, R. (2018). Graphical analysis for overall effectiveness management: A graphical method to support operation and maintenance performance assessment. Quality and Reliability Engineering International, 34(8), 1615–1632.

Hannola, L., Richter, A., Richter, S., & Stocker, A. (2018). Empowering production workers with digitally facilitated knowledge processes – a conceptual framework. International Journal of Production Research, 56(14), 4729–4743.

Hasselblatt, M., Huikkola, T., Kohtamäki, M., & Nickell, D. (2018). Modeling manufacturer’s capabilities for the Internet of Things. 85053335436.

Ho, J.-Y., & O’Sullivan, E. (2017). Strategic standardisation of smart systems: A roadmapping process in support of innovation. Technological Forecasting and Social Change, 115, 301–312.

Holtgrewe, U. (2014). New new technologies: The future and the present of work in information and communication technology. New Technology, Work and Employment, 29(1), 9–24.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group.

Keskin, F. D. (2019). A two-stage fuzzy approach for Industry 4.0 project portfolio selection within criteria and project interdependencies context. Journal of Multi-Criteria Decision Analysis, 0(0).

Kristensen, H. S., & Mosgaard, M. A. (2020). A review of micro level indicators for a circular economy – moving away from the three dimensions of sustainability? Journal of Cleaner Production, 243, 118531.

Kuo, T.-C., & Smith, S. (2018). A systematic review of technologies involving eco-innovation for enterprises moving towards sustainability. Journal of Cleaner Production, 192, 207–220.

Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242.

Le Boterf, G. (2006). Ingénierie et évaluation des compétences (5eme ed). Librairie Eyrolles.

Lee, J., Han, S., & Yang, J. (2011). Construction of a computer-simulated mixed reality environment for virtual factory layout planning. Computers in Industry, 62(1), 86–98.

Leonard‐Barton, D. (1992). Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal, 13(S1), 111–125.

Lerch, C., & Gotsch, M. (2015). Digitalized Product-Service Systems in Manufacturing Firms: A Case Study Analysis. Research-Technology Management, 58(5), 45–52.

Li, S., Peng, G. C., & Xing, F. (2019). Barriers of embedding big data solutions in smart factories: Insights from SAP consultants. Industrial Management & Data Systems, 119(5), 1147–1164.

Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2019). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 0(0), 1–17.

Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118–1136.

Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals, 65(2), 621–641.

Müller, J. M., & Voigt, K.-I. (2018). The Impact of Industry 4.0 on Supply Chains in Engineer-to-Order Industries—An Exploratory Case Study. IFAC-PapersOnLine, 51(11), 122–127.

Nikitina, T., & Lapiņa, I. (2019). Creating and managing knowledge towards managerial competence development in contemporary business environment. Knowledge Management Research & Practice, 17(1), 96–107.

Olszak, C. M., & Mach-Król, M. (2018). A Conceptual Framework for Assessing an Organization’s Readiness to Adopt Big Data. Sustainability, 10(10), 3734.

Ooi, K.-B., Lee, V.-H., Tan, G. W.-H., Hew, T.-S., & Hew, J.-J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376–394.

Parida, V., & Wincent, J. (2019). Why and how to compete through sustainability: A review and outline of trends influencing firm and network-level transformation. International Entrepreneurship and Management Journal, 15(1), 1–19.

Park, S., & Huh, J.-H. (2018). Effect of Cooperation on Manufacturing IT Project Development and Test Bed for Successful Industry 4.0 Project: Safety Management for Security. Processes, 6(7), 88.

Parviainen, P., Tihinen, M., Kääriäinen, J., & Teppola, S. (2017). Tackling the Digitalisation Challenge: How to Benefit from Digitalisation in Practice. International Journal of Information Systems and Project Management, 5(1), 63–77.

Pejic-Bach, M., Bertoncel, T., Meško, M., & Krstić, Ž. (2019). Text mining of industry 4.0 job advertisements. International Journal of Information Management.

PMI. (2017). Um Guia do Conhecimento em Gerenciamento de

Projetos (Guia PMBOK®) 6a edição (Edição: 6a). Project Management Institute.

Porter, M. E., & Heppelmann, J. E. (2014, novembro 1). How Smart, Connected Products Are Transforming Competition. Harvard Business Review, November 2014.

Prahalad, C. K., & Hamel, G. (1990, maio 1). The Core Competence of the Corporation. Harvard Business Review, May-June 1990.

Qu, Y., Ming, X., Ni, Y., Li, X., Liu, Z., Zhang, X., & Xie, L. (2019). An integrated framework of enterprise information systems in smart manufacturing system via business process reengineering. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(11), 2210–2224.

Raptis, T. P., Passarella, A., & Conti, M. (2019). Data Management in Industry 4.0: State of the Art and Open Challenges. IEEE Access, 7, 97052–97093.

Rashid, A., Masood, T., Erkoyuncu, J. A., Tjahjono, B., Khan, N., & Shami, M. (2018). Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: A synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications. Enterprise Information Systems, 12(2), 96–136.

Ratzmann, M., Pesch, R., Bouncken, R., & Climent, C. M. (2018). The Price of Team Spirit for Sensemaking Through Task Discourse in Innovation Teams. Group Decision and Negotiation, 27(3), 321–341.

Rejeb, A., Keogh, J. G., & Treiblmaier, H. (2019). Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management. Future Internet, 11(7), 161.

Roblek, V., Meško, M., & Krapež, A. (2016). A Complex View of Industry 4.0. SAGE Open, 6(2), 2158244016653987.

Roßmann, B., Canzaniello, A., von der Gracht, H., & Hartmann, E. (2018). The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study. Technological Forecasting and Social Change, 130, 135–149.

Salehi, V. (2020). Development of an Agile Concept for MBSE for Future Digital Products through the Entire Life Cycle Management Called Munich Agile MBSE Concept (MAGIC). Computer Aided Design and Applications, 147–166.

Schumacher, A., Erol, S., & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, 161–166.

Shivajee, V., Singh, R. K., & Rastogi, S. (2019). Manufacturing conversion cost reduction using quality control tools and digitization of real-time data. Journal of Cleaner Production, 237, 117678.

Siddoo, V., Sawattawee, J., Janchai, W., & Thinnukool, O. (2019). An exploratory study of digital workforce competency in Thailand. Heliyon, 5(5), e01723.

Singh, S., Misra, S. C., & Chan, F. T. S. (2019). Establishment of critical success factors for implementation of product lifecycle management systems. International Journal of Production Research, 0(0), 1–20.

Sjödin, D. (2019). Knowledge processing and ecosystem co-creation for process innovation: Managing joint knowledge processing in process innovation projects. International Entrepreneurship and Management Journal, 15(1), 135–162.

Stalk, G. J., Evans, P., & Shulman, L. E. (1992, março 1). Competing on Capabilities: The New Rules of Corporate Strategy. Harvard Business Review, March-April 1992.

Synnes, E. L., & Welo, T. (2016). Bridging the Gap between High and Low-volume Production through Enhancement of Integrative Capabilities. Procedia Manufacturing, 5, 26–40.

Tarifa-Fernández, J., Sánchez-Pérez, A. M., & Cruz-Rambaud, S. (2019). Internet of Things and Their Coming Perspectives: A Real Options Approach. Sustainability, 11(11), 3178.

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14.

Villalba-Diez, J., Ordieres-Meré, J., Molina, M., Rossner, M., & Lay, M. (2018). Lean dendrochronology: Complexity reduction by representation of KPI dynamics looking at strategic organizational design. Management and Production Engineering Review, Vol. 9, No. 4.

Walker, D., & Lloyd-Walker, B. (2019). The future of the management of projects in the 2030s. International Journal of Managing Projects in Business, 12(2), 242–266.

Wang, X., Ong, S. K., & Nee, A. Y. C. (2018). A comprehensive survey of ubiquitous manufacturing research. International Journal of Production Research, 56(1–2), 604–628.

Wells, L. J., Camelio, J. A., Williams, C. B., & White, J. (2014). Cyber-physical security challenges in manufacturing systems. Manufacturing Letters, 2(2), 74–77.

World Economic Forum, & A.T. Kearney. (2017). Technology and Innovation for the Future of Production: Accelerating Value Creation.

World Economic Forum, & McKinsey & Company. (2019). Global Lighthouse Network: Insights from the Forefront of the Fourth Industrial Revolution.

Yadegaridehkordi, E., Hourmand, M., Nilashi, M., Shuib, L., Ahani, A., & Ibrahim, O. (2018). Influence of big data adoption on manufacturing companies’ performance: An integrated DEMATEL-ANFIS approach. Technological Forecasting and Social Change, 137, 199–210.

Yun, J. J., & Liu, Z. (2019). Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model. Sustainability, 11(12), 3301.




How to Cite

Cruz Paiva, D., & Rabechini Jr., R. (2022). Project capabilities in industry 4.0: future research opportunities in project management. Future Studies Research Journal: Trends and Strategies, 14(1), e0581.



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