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Organizational Agility in Industry 4.0: A Systematic Literature Review

Author

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  • Beata Mrugalska

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland)

  • Junaid Ahmed

    (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Hyderabad Campus, Hyderabad 17000, Pakistan)

Abstract

Agility is the dynamic capability of an organization which helps it to manage a change and uncertainties in the environment. The purpose of this research is to review the literature from the perspective of agility in Industry 4.0. This paper systematically reviews 381 relevant articles from peer-reviewed academic journals in the period of the last five years. The results show that agility is important for an organization to adopt Industry 4.0 technologies as it helps companies to cope with the changes that arise along with the adoption of Industry 4.0 technologies. Further, it also indicates that by adopting Industry 4.0 technologies, companies can significantly enhance their agility capability into various aspects with different technologies. The technologies which enhance the agility are: smart manufacturing, internet of things, cyber-physical system, big data and analytics and cloud computing. On the other hand, important aspects of agility include supply chain, workforce, information system, facilities, management, manufacturing and technology agility.

Suggested Citation

  • Beata Mrugalska & Junaid Ahmed, 2021. "Organizational Agility in Industry 4.0: A Systematic Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8272-:d:600450
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    References listed on IDEAS

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    1. Rodrigo Lozano, 2015. "A Holistic Perspective on Corporate Sustainability Drivers," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(1), pages 32-44, January.
    2. Nancy E. Landrum & Brian Ohsowski, 2018. "Identifying Worldviews on Corporate Sustainability: A Content Analysis of Corporate Sustainability Reports," Business Strategy and the Environment, Wiley Blackwell, vol. 27(1), pages 128-151, January.
    3. Lucía Muñoz-Pascual & Carla Curado & Jesús Galende, 2019. "The Triple Bottom Line on Sustainable Product Innovation Performance in SMEs: A Mixed Methods Approach," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    4. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    5. Mohsen Moghaddam & Shimon Y. Nof, 2018. "Collaborative service-component integration in cloud manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 677-691, January.
    6. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    7. Ting Zheng & Marco Ardolino & Andrea Bacchetti & Marco Perona, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1922-1954, March.
    8. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    9. Anna-Theresa Walter, 2021. "Organizational agility: ill-defined and somewhat confusing? A systematic literature review and conceptualization," Management Review Quarterly, Springer, vol. 71(2), pages 343-391, April.
    10. Antonio Miceli & Birgit Hagen & Maria Pia Riccardi & Francesco Sotti & Davide Settembre-Blundo, 2021. "Thriving, Not Just Surviving in Changing Times: How Sustainability, Agility and Digitalization Intertwine with Organizational Resilience," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    11. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    12. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    13. Guilherme Luz Tortorella & Ninad Pradhan & Enrique Macias de Anda & Samuel Trevino Martinez & Rupy Sawhney & Maneesh Kumar, 2020. "Designing lean value streams in the fourth industrial revolution era: proposition of technology-integrated guidelines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5020-5033, July.
    14. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2021. "Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    15. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    16. Barbara Brenner, 2018. "Transformative Sustainable Business Models in the Light of the Digital Imperative—A Global Business Economics Perspective," Sustainability, MDPI, vol. 10(12), pages 1-25, November.
    17. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
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    2. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Dilek Cetindamar & Mile Katic & Steve Burdon & Ayse Gunsel, 2021. "The Interplay among Organisational Learning Culture, Agility, Growth, and Big Data Capabilities," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    4. Alessandra Neri & Marta Negri & Enrico Cagno & Vikas Kumar & Jose Arturo Garza‐Reyes, 2023. "What digital‐enabled dynamic capabilities support the circular economy? A multiple case study approach," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 5083-5101, November.

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