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A study to determine the effects of industry 4.0 technology components on organizational performance

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  • Calış Duman, Meral
  • Akdemir, Bunyamin

Abstract

The aim of this study is to determine the effects of Industry 4.0 technology components on the organizational performance of businesses. Industry 4.0, the latest phase of the industrial revolution and one which is garnering a lot of attention, offers a number of benefits to businesses such as efficiency, speed, quality, personalised production, and reduced costs. Therefore, results which can be achieved through the initial adaptation of businesses to Industry 4.0 are among today's most compelling technological issues. In this context, the idea of determining the effects of Industry 4.0 components on businesses, specifically on their organizational performance, is the main aim of this research.

Suggested Citation

  • Calış Duman, Meral & Akdemir, Bunyamin, 2021. "A study to determine the effects of industry 4.0 technology components on organizational performance," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:tefoso:v:167:y:2021:i:c:s0040162521000470
    DOI: 10.1016/j.techfore.2021.120615
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    1. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    2. Tortorella, Guilherme Luz & Saurin, Tarcisio A. & Hines, Peter & Antony, Jiju & Samson, Daniel, 2023. "Myths and facts of industry 4.0," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Opazo-Basáez, Marco & Monroy-Osorio, Juan Carlos & Marić, Josip, 2024. "Evaluating the effect of green technological innovations on organizational and environmental performance: A treble innovation approach," Technovation, Elsevier, vol. 129(C).
    4. Kumar, Naveen & Lee, Seul Chan, 2022. "Human-machine interface in smart factory: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Bootz, Jean-Philippe & Michel, Sophie & Pallud, Jessie & Monti, Régine, 2022. "Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Battaglia, Daniele & Galati, Francesco & Molinaro, Margherita & Pessot, Elena, 2023. "Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link," International Journal of Production Economics, Elsevier, vol. 263(C).
    7. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    8. Chaudhuri, Ranjan & Chatterjee, Sheshadri & Mariani, Marcello M. & Wamba, Samuel Fosso, 2024. "Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities: A sustainability performance perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    9. Lei Guo & Luying Xu, 2021. "The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

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