Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries
The emergence of Industry 4.0 (I4.0) is reshaping industries worldwide, driven by rapid technological progress and the need for open innovation. This study focuses on understanding the interdependencies of driving factors of I4.0 maturity in developing countries using Fuzzy Multi-Criteria Decision A...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2199853124001768 |
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| author | Linda Salma Angreani Faris Dzaudan Qadri Annas Vijaya Rana Manahil Isabella Marquez Petrone Nabilah Ahmad Fauzi Tasya Santi Rahmawati Hendro Wicaksono |
| author_facet | Linda Salma Angreani Faris Dzaudan Qadri Annas Vijaya Rana Manahil Isabella Marquez Petrone Nabilah Ahmad Fauzi Tasya Santi Rahmawati Hendro Wicaksono |
| author_sort | Linda Salma Angreani |
| collection | DOAJ |
| description | The emergence of Industry 4.0 (I4.0) is reshaping industries worldwide, driven by rapid technological progress and the need for open innovation. This study focuses on understanding the interdependencies of driving factors of I4.0 maturity in developing countries using Fuzzy Multi-Criteria Decision Analysis (MCDA) methods. By analyzing Indonesia, Pakistan, and Venezuela, the research aims to foster open innovation and address the unique challenges these nations face in adopting I4.0 technologies. I4.0 maturity models are essential for evaluating current maturity levels and identifying areas for improvement. However, the complexity and interdependence of various factors—ranging from data science and technology to policy, governance, and open innovation dynamics, such as social open innovation and the role of SMEs—complicate this process. This study employs Fuzzy TOPSIS and Fuzzy DEMATEL to identify the critical factors influencing I4.0 maturity and analyze their interdependencies and prioritization. The results indicate that 'Data and Information' and 'Willingness to Change' are crucial across all countries, while strategic differences between large enterprises and SMEs highlight the need for tailored approaches. This research highlights the importance of continuous IT investment, digital leadership, collaborative ecosystems, and agile strategies in fostering open innovation and driving I4.0 adoption. This research contributes to the theoretical and practical understanding of I4.0 maturity, offering valuable insights for practitioners and academics to explore the dynamic interactions of I4.0 factors and their impact on operational efficiency. |
| format | Article |
| id | doaj-art-6fbb7a5d359c4c8b95ad9b92503052d4 |
| institution | OA Journals |
| issn | 2199-8531 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj-art-6fbb7a5d359c4c8b95ad9b92503052d42025-08-20T02:19:30ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312024-12-0110410038210.1016/j.joitmc.2024.100382Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countriesLinda Salma Angreani0Faris Dzaudan Qadri1Annas Vijaya2Rana Manahil3Isabella Marquez Petrone4 Nabilah5Ahmad Fauzi6Tasya Santi Rahmawati7Hendro Wicaksono8School of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, Germany; Universitas Islam Negeri Maulana Malik Ibrahim Malang, Jalan Gajayana 50, Malang 65144, Indonesia; Corresponding author at: School of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, Germany.Hermann-Böse-Gymnasium, Hermann-Böse-Straße 1-9, Bremen 28209, Germany; Universität des Saarlandes, Saarbrücken Campus, Saarbrücken 66123, GermanySchool of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, Germany; Universitas Ma Chung, Villa Puncak Tidar N-1, Malang 65151, IndonesiaSchool of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, GermanySchool of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, GermanyUniversitas Sebelas Maret, Jalan Ir. Sutami 36, Surakarta 67126, IndonesiaUniversitas Sebelas Maret, Jalan Ir. Sutami 36, Surakarta 67126, IndonesiaUniversitas Sebelas Maret, Jalan Ir. Sutami 36, Surakarta 67126, IndonesiaSchool of Business, Social & Decision Sciences, Constructor University, Campus Ring 1, Bremen 28759, GermanyThe emergence of Industry 4.0 (I4.0) is reshaping industries worldwide, driven by rapid technological progress and the need for open innovation. This study focuses on understanding the interdependencies of driving factors of I4.0 maturity in developing countries using Fuzzy Multi-Criteria Decision Analysis (MCDA) methods. By analyzing Indonesia, Pakistan, and Venezuela, the research aims to foster open innovation and address the unique challenges these nations face in adopting I4.0 technologies. I4.0 maturity models are essential for evaluating current maturity levels and identifying areas for improvement. However, the complexity and interdependence of various factors—ranging from data science and technology to policy, governance, and open innovation dynamics, such as social open innovation and the role of SMEs—complicate this process. This study employs Fuzzy TOPSIS and Fuzzy DEMATEL to identify the critical factors influencing I4.0 maturity and analyze their interdependencies and prioritization. The results indicate that 'Data and Information' and 'Willingness to Change' are crucial across all countries, while strategic differences between large enterprises and SMEs highlight the need for tailored approaches. This research highlights the importance of continuous IT investment, digital leadership, collaborative ecosystems, and agile strategies in fostering open innovation and driving I4.0 adoption. This research contributes to the theoretical and practical understanding of I4.0 maturity, offering valuable insights for practitioners and academics to explore the dynamic interactions of I4.0 factors and their impact on operational efficiency.http://www.sciencedirect.com/science/article/pii/S2199853124001768Industry 4.0Fuzzy DEMATELFuzzy TOPSISDeveloping countriesMaturity modelOpen innovation |
| spellingShingle | Linda Salma Angreani Faris Dzaudan Qadri Annas Vijaya Rana Manahil Isabella Marquez Petrone Nabilah Ahmad Fauzi Tasya Santi Rahmawati Hendro Wicaksono Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries Journal of Open Innovation: Technology, Market and Complexity Industry 4.0 Fuzzy DEMATEL Fuzzy TOPSIS Developing countries Maturity model Open innovation |
| title | Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries |
| title_full | Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries |
| title_fullStr | Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries |
| title_full_unstemmed | Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries |
| title_short | Interdependencies in industry 4.0 maturity: Fuzzy MCDA analysis for open innovation in developing countries |
| title_sort | interdependencies in industry 4 0 maturity fuzzy mcda analysis for open innovation in developing countries |
| topic | Industry 4.0 Fuzzy DEMATEL Fuzzy TOPSIS Developing countries Maturity model Open innovation |
| url | http://www.sciencedirect.com/science/article/pii/S2199853124001768 |
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