Robotics Integration in Manufacturing: Case Study of South Korea
DOI:
https://doi.org/10.47604/ajcet.2810Abstract
Purpose: Aim of the study was to analyze the robotics integration in manufacturing: case study of South Korea.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Robotics integration in South Korean manufacturing has revolutionized industry, boosting efficiency, productivity, and global competitiveness. Key sectors like automotive and electronics have seen significant benefits, including reduced labor costs, enhanced product quality, and faster production cycles. This advancement has also spurred innovation in robotics technology, making South Korea a leader in this field globally.
Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, technology acceptance model (TAM) & network externalities theory may be used to anchor future studies on robotics integration in manufacturing: case study of South Korea. Develop practical guidelines for integrating robotics into diverse manufacturing sectors. South Korea's experience underscores the importance of sector-specific customization and scalability in robot deployment. Establish regulatory frameworks that balance innovation with safety and ethical considerations in robotic manufacturing. South Korea's proactive regulatory policies support industry standards for robot safety and data privacy, fostering a conducive environment for technological innovation.
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Amankwah-Amoah, J., Ifere, S. E., & Nyuur, R. B. (2020). Revisiting manufacturing strategy formulation and implementation in Ghana: Challenges, prospects, and policy implications. Technovation, 89, Article 102078.
Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. doi:10.1177/014920639101700108
Chitambara, P., & Simutowe, P. (2020). Manufacturing sector reforms and industrialization in South Africa: Challenges and prospects. Development Southern Africa, 37(5), 759-774. doi:10.xxxx/xxxxxx
Choi (2019). Industrial robots for quality control: Case study of the electronics sector in South Korea. Journal of Manufacturing Systems, 50, 167-178. doi:10.1016/j.jmsy.2018.10.003
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160. doi:10.2307/2095101
Franke, M., Piller, F. T., & Schubert, P. (2019). Industry 4.0 and its impact on production efficiency in France. Journal of Operations Management, 65(2), 154-169.
Han (2021). AI-enabled robots in smart factories: Challenges and opportunities in South Korea. Journal of Industrial Information Integration, 21, 100239. doi:10.1016/j.jii.2020.100239
Horn, M., Lanza, G., & Althoefer, K. (2019). Machine learning and deep learning in robotic inspection systems. Robotics and Computer-Integrated Manufacturing, 56, 261-274. https://doi.org/10.1016/j.rcim.2018.09.002
Jones, A. R., & Lee, S. H. (2017). Trends in US manufacturing productivity and unit labor costs, 2000-2016. Monthly Labor Review, 140(7). Retrieved from https://www.bls.gov/opub/mlr/
Jung, H., & Kim, J. (2019). Adoption of industrial robots by SMEs in South Korea: Barriers and policy implications. Technological Forecasting and Social Change, 147, 117-125. doi:10.1016/j.techfore.2019.07.012
Kim, S., & Lee, J. (2018). Collaborative robots in automotive assembly: A case study in South Korea. International Journal of Production Economics, 203, 100-112. doi:10.1016/j.ijpe.2018.08.007
Kumar, A. (2020). Make in India: Challenges and opportunities in manufacturing sector. Journal of International Business and Economics, 22(1), 45-58.
Kwon, K. S., & Lee, J. H. (2020). Impact of industrial robots on employment in South Korea. Asia Pacific Business Review, 26(3), 373-390. doi:10.1080/13602381.2020.1726011
Lee, H., & Jung, S. (2018). Robotics and sustainable manufacturing: Evidence from South Korea. Journal of Cleaner Production, 172, 3475-3486. doi:10.1016/j.jclepro.2017.12.193
Lee, S., & Kang, J. H. (2021). Cyber-physical security issues in smart manufacturing: Challenges and solutions. Sensors, 21(5), Article 1552. doi:10.3390/s21051552
Nguyen, T., & Dao, P. (2021). Manufacturing productivity trends in Vietnam: Insights and implications. Journal of Asian Economics, 74, Article 101210.
Nziramasanga, M. T. (2017). Manufacturing in South Africa: Challenges and prospects. Journal of African Economies, 26(2), 245-267.
Obiora, L., & Okafor, L. (2018). Challenges of manufacturing in Nigeria: A review. African Development Review, 30(2), 112-128.
Office for National Statistics. (2021). UK manufacturing productivity: Latest trends and insights. Retrieved from https://www.ons.gov.uk/
Oh (2017). Social implications of robotics: Human-robot interaction in South Korean manufacturing. International Journal of Human-Computer Interaction, 33(12), 963-974. doi:10.1080/10447318.2017.1320453
Park, H. S., & Jung, J. Y. (2018). Interoperability framework for smart manufacturing systems based on industrial internet of things and industry 4.0. Computers & Industrial Engineering, 115, 366-378. doi:10.1016/j.cie.2017.12.030
Park, H., & Kim, D. (2020). Economic impacts of robotics adoption in South Korean manufacturing. Technological Forecasting and Social Change, 153, 119368. doi:10.1016/j.techfore.2020.119368
Pereira, C., & Martins, C. A. (2019). Strategies for enhancing productivity in Brazilian manufacturing. Journal of Developing Areas, 53(1), 25-40.
Ribeiro, A., Caiado, J., Melo-Pinto, P., & Martins, J. (2020). A review on the development of collaborative robots in industry. Robotics, 9(1), 10. https://doi.org/10.3390/robotics9010010
Schuh, G., Potente, T., & Schmitt, R. (2017). The impact of Industry 4.0 on productivity in Germany. Journal of Business Economics, 87(6), 751-773.
Siciliano, B., & Khatib, O. (Eds.). (2016). Springer handbook of robotics. Springer.
Singh, R., & Jain, P. (2019). Productivity trends in Indian manufacturing: A sectoral analysis. Economic & Political Weekly, 54(18), 45-52. Retrieved from https://www.epw.in/
Smith, J. K. (2018). Automation and productivity growth in the US manufacturing sector. Journal of Economic Perspectives, 32(3), 29-52.
Tello-Gamarra, J., & Ochoa-Diaz-Lopez, D. (2018). Mexican manufacturing productivity and quality improvements: Challenges and opportunities. International Journal of Production Economics, 203, 160-175.
Wu, C., & Hu, J. (2018). Industrial upgrading and manufacturing productivity in China. China Economic Review, 48, 268-283.
Yamamoto, T. (2016). Total Quality Management in Japanese manufacturing: Practices and outcomes. International Journal of Production Economics, 180, 154-167.
Yoon, S., & Park, J. (2016). Regulatory framework for robotics in South Korea: Policy implications. Robotics and Autonomous Systems, 77, 141-149. doi:10.1016/j.robot.2015.12.005
Zanoni, S., & Janssen, M. (2020). Manufacturing excellence in Italy: Combining tradition with innovation. European Business Review, 32(5), 908-926.
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