The Role of Robotics-Driven Productivity, Profit, and Employee Satisfaction in Enhancing Sustainability in the Beverage Industry

Jimoh Adams Lukman, Zi Jian Oh, Muhammad Azim Akmal bin Johani, Muhammad Alimi bin Mohd Tarmizi, Muhammad Afiq Hakimie bin Ahmad Sobri, Muhammad Amar Basyir bin Sulaiman, Suryo Wirawan, Dhymas Pramana Wicaksana, Mikita Trusevich, Daisy Mui Hung Kee

Abstract


This research examines the perceptions of individuals from diverse backgrounds regarding the role of robotics in the Coca-Cola industry, focusing on productivity, profitability, and employee satisfaction. The objective was to evaluate how robotics impacts organizational efficiency and sustainability in beverage manufacturing, especially Coca-Cola. A quantitative methodology was employed, utilizing a Google Form questionnaire distributed to 50 respondents from Malaysia, Indonesia, India, and Belarus. The survey assessed the perceived productivity, profitability, and satisfaction related to robotic integration in Coca-Cola's operations. Results indicated that respondents rated the productivity of robotics positively, with a mean score of 3.84, suggesting a strong perception of automation’s efficiency. Profitability was similarly viewed favorably, with a mean of 3.86, indicating that robotics contributes to organizational profitability. Employee satisfaction with robotics had a slightly lower mean score of 3.82, reflecting a neutral to positive outlook. In conclusion, robotics significantly enhances productivity and profitability in the beverage industry, while employee satisfaction, though important, has a secondary impact on sustainability outcomes.


Keywords


Employee Satisfaction; Productivity; Profitability; Robotic Workforce; Sustainability

Full Text:

PDF

References


Abdullah, N., & Lim, A. (2023). The incorporating sustainable and green IT practices in modern IT service operations for an environmentally conscious future. Journal of Sustainable Technologies and Infrastructure Planning, 7(3), 17-47.

Addula, S. R., & Tyagi, A. K. (2024). Future of Computer Vision and Industrial Robotics in Smart Manufacturing. In A. K. Tyagi, S. Tiwari, S. K. Arumugam, & A. K. Sharma, Artificial Intelligence?Enabled Digital Twin for Smart Manufacturing (pp. 505-539). Wiley. https://doi.org/10.1002/9781394303601.ch22

Blue Prism. (n.d.). Coca-Cola extends business services capacity and Improves Performance with RPA. SS&C Blue Prism. https://www.blueprism.com/uploads/resources/case-studies/blue-prism-cola-case-study.pdf

Caldwell, D. G. (2023). Automation in food manufacturing and processing. In Springer Handbook of Automation (pp. 949-971). Springer International Publishing.

Chen, F., & Li, R. (2024). Improvement and replacement: The dual impact of automation on employees’ job satisfaction. Systems, 12(2), 46. https://doi.org/10.3390/systems12020046

Enayati, A. M. S., Zhang, Z., & Najjaran, H. (2022). A methodical interpretation of adaptive robotics: Study and reformulation. Neurocomputing, 512, 381-397. https://doi.org/10.1016/j.neucom.2022.09.114

Epstein, M. J. (2018). Making Sustainability Work: Best Practices in Managing and Measuring Corporate Social, Environmental, and Economic Impacts. Routledge.

Flechsig, C., Anslinger, F., & Lasch, R. (2022). Robotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation. Journal of Purchasing and Supply Management, 28(1), 100718. https://doi.org/10.1016/j.pursup.2021.100718

Haidegger, T., Mai, V., Mörch, C. M., Boesl, D. O., Jacobs, A., Khamis, A., ... & Vanderborght, B. (2023). Robotics: Enabler and inhibitor of the sustainable development goals. Sustainable Production and Consumption, 43, 422-434. https://doi.org/10.1016/j.spc.2023.11.011

Hayyat, A. (2024). The effect of organizational green operations and digitalization to promote green supply chain performance. In Human Perspectives of Industry 4.0 Organizations (pp. 183-223). CRC Press.

Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cognitive Robotics, 1, 58-75. https://doi.org/10.1016/j.cogr.2021.06.001

Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203-217. https://doi.org/10.1016/j.susoc.2022.01.008

Jin, W. (2024). Unveiling the impact of industrial robots on consumption-based embodied carbon intensity: A global perspective. Energy Strategy Reviews, 54, 101484. https://doi.org/10.1016/j.esr.2024.101484

Jufrizen, J., & Hutasuhut, M. R. (2022). The role of mediation organizational citizenship behavior on the effect of work motivation and job satisfaction on employee performance. Journal of International Conference Proceedings, 5(2), 162-183. http://doi.org/10.32535/jicp.v5i2.1682

Kedziora, D., Leivonen, A., Piotrowicz, W., & Öörni, A. (2021). Robotic process automation (RPA) implementation drivers: Evidence of selected Nordic companies. Issues in Information Systems, 22(2), 21-40. https://doi.org/10.48009/2_iis_2021_21-40

Leesakul, N., Oostveen, A. M., Eimontaite, I., Wilson, M. L., & Hyde, R. (2022). Workplace 4.0: Exploring the implications of technology adoption in digital manufacturing on a sustainable workforce. Sustainability, 14(6), 3311. https://doi.org/10.3390/su14063311

Liberty, J. T., Habanabakize, E., Adamu, P. I., & Bata, S. M. (2024). Advancing food manufacturing: Leveraging robotic solutions for enhanced quality assurance and traceability across global supply networks. Trends in Food Science & Technology, 104705. https://doi.org/10.1016/j.tifs.2024.104705

Lo, W., Yang, C. M., Zhang, Q., & Li, M. (2024). Increased productivity and reduced waste with robotic process automation and generative AI-Powered IoE Services. Journal of Web Engineering, 23(1), 53-87. https://doi.org/10.13052/jwe1540-9589.2313

Madakam, S., Holmukhe, R. M., & Jaiswal, D. K. (2019). The future digital work force: robotic process automation (RPA). JISTEM-Journal of Information Systems and Technology Management, 16, e201916001. https://doi.org/10.4301/S1807-1775201916001

Marciniak, P., & Stanis?awski, R. (2021). Internal determinants in the field of RPA technology implementation on the example of selected companies in the context of industry 4.0 assumptions. Information, 12(6), 222. https://doi.org/10.3390/info12060222

Mohamed, S. A., Mahmoud, M. A., Mahdi, M. N., & Mostafa, S. A. (2022). Improving efficiency and effectiveness of robotic process automation in human resource management. Sustainability, 14(7), 3920. https://doi.org/10.3390/su14073920

Olawade, D. B., Fapohunda, O., Wada, O. Z., Usman, S. O., Ige, A. O., Ajisafe, O., & Oladapo, B. I. (2024). Smart waste management: A paradigm shift enabled by artificial intelligence. Waste Management Bulletin, 2(2), 244-263. https://doi.org/10.1016/j.wmb.2024.05.001

Pachuau, L., Bhaskar, D. N. S., Manimegalai, V., Varde, Y., Harshitha, Y. S., & Murugan, S. (2024). Driving profitable. In T. Tennin, K. Latrice, R. Ray, S. Samrat, S. Sorg, & M. Jens (Eds.), In Cases on AI Ethics in Business (pp. 252-275). IGI Global.

Pradana, B. I., Firdaus, E. Z., & Safitri, R. (2023). Continuity business of coffe shop in Malang City in the facing of covid-19 pandemic. International Journal of Applied Business and International Management, 8(3), 36-55. http://doi.org/10.32535/ijabim.v8i3.2667

Pramod, D. (2022). Robotic process automation for industry: adoption status, benefits, challenges and research agenda. Benchmarking: An International Journal, 29(5), 1562-1586. https://doi.org/10.1108/BIJ-01-2021-0033

Rinaldi, M., Caterino, M., & Fera, M. (2023). Sustainability of Human-Robot cooperative configurations: Findings from a case study. Computers & Industrial Engineering, 182, 109383. https://doi.org/10.1016/j.cie.2023.109383

Soori, M., Arezoo, B., & Dastres, R. (2023). Optimization of energy consumption in industrial robots, a review. Cognitive Robotics, 3, 142-157. https://doi.org/10.1016/j.cogr.2023.05.003

Syed, R., Suriadi, S., Adams, M., Bandara, W., Leemans, S. J., Ouyang, C., ... & Reijers, H. A. (2020). Robotic process automation: Contemporary themes and challenges. Computers in Industry, 115, 103162. https://doi.org/10.1016/j.compind.2019.103162

Trisnayani, K., Gunadi, I. G. N. B., Landra, N., & Putra, I. G. C. (2024). Job satisfaction’s role in mediating the influence of workload and work culture on employee performance of community health center at Klungkung. Asia Pacific Journal of Management and Education, 7(1), 1-14. https://doi.org/10.32535/apjme.v7i1.2

Viswanadham, N., & Narahari, Y. (2015). Performance Modeling of Automated Systems. PHI Learning Pvt. Ltd..

Wan, Q., Li, Z., Zhou, W., & Shang, S. (2018). Effects of work environment and job characteristics on the turnover intention of experienced nurses: The mediating role of work engagement. Journal of Advanced Nursing, 74(6), 1332-1341. https://doi.org/10.1111/jan.13528

Younis, H., Bwaliez, O. M., Garibeh, M. H., & Sundarakani, B. (2024). Empirical study of robotic systems implementation to corporate performance in manufacturing sector. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-02-2024-0070

Zhang, Q., Zhang, F., & Mai, Q. (2022). Robot adoption and green productivity: Curse or boon. Sustainable Production and Consumption, 34, 1-11. https://doi.org/10.1016/j.spc.2022.08.025

Ziolo, M., Fidanoski, F., Simeonovski, K., Filipovski, V., & Jovanovska, K. (2017). Business and sustainability: Key drivers for business success and business failure from the perspective of sustainable development. In L. Gracz, & K. Markiewicz (Eds.), Value of Failure: The Spectrum of Challenges for the Economy (pp. 55-73). Anthem Press.




DOI: https://doi.org/10.32535/apjme.v7i3.3541

Refbacks

  • There are currently no refbacks.




Copyright (c) 2024 Jimoh Adams Lukman, Zi Jian Oh, Muhammad Azim Akmal bin Johani, Muhammad Alimi bin Mohd Tarmizi, Muhammad Afiq Hakimie bin Ahmad Sobri, Muhammad Amar Basyir bin Sulaiman, Suryo Wirawan, Dhymas Pramana Wicaksana, Mikita Trusevich, Daisy Mui Hung Kee

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Asia Pacific Journal of Management and Education (APJME)

ISSN 2655-2035 (Online)

DOI Prefix: 10.32535 by CrossRef

Published by AIBPM Publisher

JL. Kahuripan No. 9, Hotel Sahid Montana, Malang, Indonesia

Email: editor.apjme@aibpm.org

Phone: +62 341 366222

Website: https://aibpmpublisher.com/

Governed by

Association of International Business and Professional Management

Email: admin@aibpm.org

Website: https://www.aibpm.org/

Visitor Statistics

Flag Counter

Web Analytics

View APJME Stats

Follow Us: