Transformasi Digital dalam Manufaktur: Analisis Bibliometrik Tren Industri 4.0
DOI:
https://doi.org/10.58812/jmws.v3i06.1277Kata Kunci:
Transformasi Digital, Industry Manufaktur, Analisis Bibliometrik, VOSviewerAbstrak
Penelitian ini menggunakan analisis visualisasi VOSviewer untuk memahami dinamika penelitian dalam transformasi digital dan keberlanjutan. Melalui pendekatan multi-perspektif, studi ini mengidentifikasi klasterisasi tema, tren penelitian, kolaborasi penulis, dan peluang penelitian yang belum banyak digali. Klasterisasi tema menunjukkan hubungan erat antara digitalisasi, strategi bisnis, dan prinsip keberlanjutan. Analisis tren penelitian menyoroti evolusi fokus dari pendidikan dan logistik ke strategi transformasi digital yang matang dan praktek keberlanjutan dari 2019 hingga 2021. Kolaborasi penulis terpeta untuk menunjukkan jaringan kunci dan hubungan yang mempengaruhi penelitian di bidang ini. Selanjutnya, area penelitian yang belum banyak terjamah dianalisis untuk mengungkap potensi bidang seperti pendidikan, produksi industri, dan logistik dalam konteks ekonomi digital. Hasil dari studi ini memberikan panduan strategis untuk peneliti dan praktisi yang berkeinginan mengintegrasikan inovasi teknologi dan keberlanjutan dalam praktik bisnis dan akademis.
Referensi
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Alkema, L., Chou, D., Hogan, D., Zhang, S., Moller, A.-B., Gemmill, A., Fat, D. M., Boerma, T., Temmerman, M., & Mathers, C. (2016). Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. The Lancet, 387(10017), 462–474.
Bloem, J., Van Doorn, M., Duivestein, S., Excoffier, D., Maas, R., & Van Ommeren, E. (2014). The fourth industrial revolution. Things Tighten, 8(1), 11–15.
Bonilla, S. H., Silva, H. R. O., Terra da Silva, M., Franco Gonçalves, R., & Sacomano, J. B. (2018). Industry 4.0 and sustainability implications: A scenario-based analysis of the impacts and challenges. Sustainability, 10(10), 3740.
Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 141, 341–351.
Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q. (2017). On calibration of modern neural networks. International Conference on Machine Learning, 1321–1330.
Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. The Lancet Global Health, 6(10), e1077–e1086.
Harvey, A. L. (2008). Natural products in drug discovery. Drug Discovery Today, 13(19–20), 894–901.
Ji, K., Liu, X., & Xu, J. (2023). Digital economy and the sustainable development of China’s manufacturing industry: from the perspective of industry performance and green development. Sustainability, 15(6), 5121.
Kagermann, H., Anderl, R., Gausemeier, J., Schuh, G., & Wahlster, W. (2016). Industrie 4.0 in a Global Context: strategies for cooperating with international partners. Herbert Utz Verlag.
Kessler, R., Andrews, G., Colpe, L., EE, H., Mroczek, D., Normand, S.-L., Walters, E., & Zaslavsky, A. (2002). Short Screening Scales to Monitor Population Prevlances and Trends in Non-Specific Psychological Distress. Psychological Medicine, 32, 959–976. https://doi.org/10.1017/S0033291702006074
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and Software Technology, 51(1), 7–15.
Lee, K., & Ki, J. (2017). Rise of latecomers and catch-up cycles in the world steel industry. Research Policy, 46(2), 365–375.
Li, H., & Yang, C. (2021). Digital transformation of manufacturing enterprises. Procedia Computer Science, 187, 24–29.
Loghin, E.-C., Vâlcu, A., & Verzea, I. (2023). Particularities of the Digital Transformation of the Manufacturing Industries. Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section, 69(1), 123–135.
Man, I. C., Su, H., Calle‐Vallejo, F., Hansen, H. A., Martínez, J. I., Inoglu, N. G., Kitchin, J., Jaramillo, T. F., Nørskov, J. K., & Rossmeisl, J. (2011). Universality in oxygen evolution electrocatalysis on oxide surfaces. ChemCatChem, 3(7), 1159–1165.
Miao, Z., & Zhao, G. (2023). Impacts of digital information management systems on green transformation of manufacturing enterprises. International Journal of Environmental Research and Public Health, 20(3), 1840.
Mustapić, M., Trstenjak, M., Gregurić, P., & Opetuk, T. (2023). Implementation and use of digital, green and sustainable technologies in internal and external transport of manufacturing companies. Sustainability, 15(12), 9557.
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Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54–89.
Samaraz, D. Ş. (2023). Smart Factory in the Context of Digital Transformation. In Two Faces of Digital Transformation (pp. 129–140). Emerald Publishing Limited.
Si, H., Tian, Z., Guo, C., & Zhang, J. (2023). The driving effect of digital economy on green transformation of manufacturing. Energy & Environment, 0958305X231155494.
Tacon, A. G. J., & Metian, M. (2008). Global overview on the use of fish meal and fish oil in industrially compounded aquafeeds: Trends and future prospects. Aquaculture, 285(1–4), 146–158.
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia Manufacturing, 20, 233–238.
Vandermerwe, S., & Rada, J. (1988). Servitization of business: adding value by adding services. European Management Journal, 6(4), 314–324.
Xu, L. Da, Xu, E. L., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.
Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International Journal of Financial Research, 9(2), 90–95.
Yaqub, M. Z., & Alsabban, A. (2023). Industry-4.0-Enabled digital transformation: prospects, instruments, challenges, and implications for business strategies. Sustainability, 15(11), 8553.
Ahmad, M. F., Husin, N. A. A., Ahmad, A. N. A., Abdullah, H., Wei, C. S., & Nawi, M. N. M. (2022). Digital transformation: An exploring barriers and challenges practice of artificial intelligence in manufacturing firms in Malaysia. Journal of Advanced Research in Applied Sciences and Engineering Technology, 29(1), 110–117.
Alkema, L., Chou, D., Hogan, D., Zhang, S., Moller, A.-B., Gemmill, A., Fat, D. M., Boerma, T., Temmerman, M., & Mathers, C. (2016). Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. The Lancet, 387(10017), 462–474.
Bloem, J., Van Doorn, M., Duivestein, S., Excoffier, D., Maas, R., & Van Ommeren, E. (2014). The fourth industrial revolution. Things Tighten, 8(1), 11–15.
Bonilla, S. H., Silva, H. R. O., Terra da Silva, M., Franco Gonçalves, R., & Sacomano, J. B. (2018). Industry 4.0 and sustainability implications: A scenario-based analysis of the impacts and challenges. Sustainability, 10(10), 3740.
Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 141, 341–351.
Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q. (2017). On calibration of modern neural networks. International Conference on Machine Learning, 1321–1330.
Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1· 9 million participants. The Lancet Global Health, 6(10), e1077–e1086.
Harvey, A. L. (2008). Natural products in drug discovery. Drug Discovery Today, 13(19–20), 894–901.
Ji, K., Liu, X., & Xu, J. (2023). Digital economy and the sustainable development of China’s manufacturing industry: from the perspective of industry performance and green development. Sustainability, 15(6), 5121.
Kagermann, H., Anderl, R., Gausemeier, J., Schuh, G., & Wahlster, W. (2016). Industrie 4.0 in a Global Context: strategies for cooperating with international partners. Herbert Utz Verlag.
Kessler, R., Andrews, G., Colpe, L., EE, H., Mroczek, D., Normand, S.-L., Walters, E., & Zaslavsky, A. (2002). Short Screening Scales to Monitor Population Prevlances and Trends in Non-Specific Psychological Distress. Psychological Medicine, 32, 959–976. https://doi.org/10.1017/S0033291702006074
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and Software Technology, 51(1), 7–15.
Lee, K., & Ki, J. (2017). Rise of latecomers and catch-up cycles in the world steel industry. Research Policy, 46(2), 365–375.
Li, H., & Yang, C. (2021). Digital transformation of manufacturing enterprises. Procedia Computer Science, 187, 24–29.
Loghin, E.-C., Vâlcu, A., & Verzea, I. (2023). Particularities of the Digital Transformation of the Manufacturing Industries. Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section, 69(1), 123–135.
Man, I. C., Su, H., Calle‐Vallejo, F., Hansen, H. A., Martínez, J. I., Inoglu, N. G., Kitchin, J., Jaramillo, T. F., Nørskov, J. K., & Rossmeisl, J. (2011). Universality in oxygen evolution electrocatalysis on oxide surfaces. ChemCatChem, 3(7), 1159–1165.
Miao, Z., & Zhao, G. (2023). Impacts of digital information management systems on green transformation of manufacturing enterprises. International Journal of Environmental Research and Public Health, 20(3), 1840.
Mustapić, M., Trstenjak, M., Gregurić, P., & Opetuk, T. (2023). Implementation and use of digital, green and sustainable technologies in internal and external transport of manufacturing companies. Sustainability, 15(12), 9557.
Ranka, D., & Vasudevan, H. (2023). Influence of Digitized Transforming Enablers on Manufacturing Performance in the Context of Economic Dimension of Sustainability. Proceedings of International Conference on Intelligent Manufacturing and Automation: ICIMA 2022, 303–312.
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54–89.
Samaraz, D. Ş. (2023). Smart Factory in the Context of Digital Transformation. In Two Faces of Digital Transformation (pp. 129–140). Emerald Publishing Limited.
Si, H., Tian, Z., Guo, C., & Zhang, J. (2023). The driving effect of digital economy on green transformation of manufacturing. Energy & Environment, 0958305X231155494.
Tacon, A. G. J., & Metian, M. (2008). Global overview on the use of fish meal and fish oil in industrially compounded aquafeeds: Trends and future prospects. Aquaculture, 285(1–4), 146–158.
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia Manufacturing, 20, 233–238.
Vandermerwe, S., & Rada, J. (1988). Servitization of business: adding value by adding services. European Management Journal, 6(4), 314–324.
Xu, L. Da, Xu, E. L., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.
Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International Journal of Financial Research, 9(2), 90–95.
Yaqub, M. Z., & Alsabban, A. (2023). Industry-4.0-Enabled digital transformation: prospects, instruments, challenges, and implications for business strategies. Sustainability, 15(11), 8553.
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