Examining the moderating role of organizational emotional culture on the relationship between leader emotional intelligence and employee job performance in South Africa’s additive manufacturing industry
DOI:
https://doi.org/10.20525/ijrbs.v13i5.3447Keywords:
leader emotional intelligence, organizational emotional culture, employee job performance, additive manufacturing firmsAbstract
South Africa’s additive manufacturing research has mostly concentrated on engineering and technical aspects, with a lack of studies on management and organizational dynamics. To fill this gap, we conducted research on the direct and moderating links between leader emotional intelligence, organizational emotional culture, and employee job performance in South African additive manufacturing enterprises. We used a deductive research approach, a quantitative research method, and a cross-sectional explanatory correlational study design. Our study used simple random sampling to select 148 employees of additive manufacturing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Findings of the study demonstrate that a significant positive relationship exists between leader emotional intelligence and employee job performance. A significant positive relationship also exists between leader emotional intelligence and organizational emotional climate. A significant positive relationship was found to exist between organizational emotional culture and employee job performance. The finding also showed that organizational emotional culture moderates the relationship between leader emotional intelligence and employee job performance. The findings suggest that developing emotional intelligence among leaders in South African additive manufacturing enterprises could enhance both staff productivity and the organizational emotional environment. Our findings highlight the importance of prioritizing leader emotional intelligence training and development for additive manufacturing enterprises in creating a good emotional environment conducive to enhanced staff job performance.
Downloads
References
Amah, O. E. (2023). Examining leaders’ emotional intelligence as a distal antecedent of employee engagement: The role of employee voice and trust in direct leadership. Africa Journal of Management, 9(2), 117–133. https://doi.org/10.1080/23322373.2023.2187612 DOI: https://doi.org/10.1080/23322373.2023.2187612
Bakker, A. B., & De Vries, J. D. (2021). Job Demands–Resources theory and self-regulation: new explanations and remedies for job burnout. Anxiety, Stress, & Coping, 34(1), 1–21. https://doi.org/10.1080/10615806.2020.1797695 DOI: https://doi.org/10.1080/10615806.2020.1797695
Bakker, A. B., & Demerouti, E. (2014). Job demands–resources theory. Wellbeing: A Complete Reference Guide, 1–28. DOI: 10.1002/9781118539415.wbwell019 DOI: https://doi.org/10.1002/9781118539415.wbwell019
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273. https://doi.org/10.1037/ocp0000056 DOI: https://doi.org/10.1037/ocp0000056
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job Demands–Resources Theory: Ten Years Later. Annual Review of Organizational Psychology and Organizational Behavior, 10(1), 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933 DOI: https://doi.org/10.1146/annurev-orgpsych-120920-053933
Barsade, S. G., & Knight, A. P. (2015). Group Affect. Annual Review of Organizational Psychology and Organizational Behavior, 2(1), 21–46. https://doi.org/10.1146/annurev-orgpsych-032414-111316 DOI: https://doi.org/10.1146/annurev-orgpsych-032414-111316
Bogers, M., Hadar, R., & Bilberg, A. (2016). Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing. Technological Forecasting and Social Change, 102, 225–239. https://doi.org/10.1016/j.techfore.2015.07.024 DOI: https://doi.org/10.1016/j.techfore.2015.07.024
Chan, L. L., & Idris, N. (2017). Validity and Reliability of the Instrument Using Exploratory Factor Analysis and Cronbach’s alpha. International Journal of Academic Research in Business and Social Sciences, 7(10), 400–410. https://ideas.repec.org/a/hur/ijarbs/v7y2017i10p400-410.html DOI: https://doi.org/10.6007/IJARBSS/v7-i10/3387
Chaudhuri, A., Rogers, H., Søberg, P., Baricz, N., & Pawar, K. (2017). Identifying future additive manufacturing related services: Insights from Denmark and Germany. https://www.researchgate.net/publication/315027084
Chen, A., Bian, M., & Hou, Y.-H. (2015). Impact of transformational leadership on subordinate’s EI and work performance. Personnel Review, 44, 438–453. https://doi.org/10.1108/PR-09-2012-0154 DOI: https://doi.org/10.1108/PR-09-2012-0154
Creswell, J.W. and Creswell, J.D. (2018) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage, Los Angeles. https://www.scirp.org/reference/referencespapers?referenceid=2895169
Dabke, D. (2016). Impact of Leaders Emotional Intelligence and Transformational Behavior on Perceived Leadership Effectiveness: A Multiple Source View. Business Perspectives and Research, 4, 27–40. https://doi.org/10.1177/2278533715605433 DOI: https://doi.org/10.1177/2278533715605433
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499. https://doi.org/10.1037/0021-9010.86.3.499 DOI: https://doi.org/10.1037//0021-9010.86.3.499
Despeisse, M., Baumers, M., Brown, P., Charnley, F., Ford, S. J., Garmulewicz, A., Knowles, S., Minshall, T. H. W., Mortara, L., Reed-Tsochas, F. P., & Rowley, J. (2017). Unlocking value for a circular economy through additive manufacturing: A research agenda. Technological Forecasting and Social Change, 115, 75–84. https://doi.org/10.1016/j.techfore.2016.09.021 DOI: https://doi.org/10.1016/j.techfore.2016.09.021
Do?ru, Ç. (2022). A Meta-Analysis of the Relationships Between Emotional Intelligence and Employee Outcomes. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.611348 DOI: https://doi.org/10.3389/fpsyg.2022.611348
Du Bray, M., Wutich, A., Larson, K. L., White, D. D., & Brewis, A. (2019). Anger and sadness: Gendered emotional responses to culture threats in four island nations. Cross-Cultural Research, 53(1), 58-86. https://doi.org/10.1177/10693971187592 DOI: https://doi.org/10.1177/1069397118759252
Enwereuzor, I. K., Onyishi, A. B., & Ekwesaranna, F. (2023). culture of fear and job apathy as fallout of supervisory nonphysical hostility toward casual workers in the banking industry. Journal of Organizational Effectiveness: People and Performance. https://doi.org/10.1108/JOEPP-07-2023-0300 DOI: https://doi.org/10.1108/JOEPP-07-2023-0300
Flammini, S., Arcese, G., Lucchetti, M. C., & Mortara, L. (2017). Business model configuration and dynamics for technology commercialization in mature markets. British Food Journal, 119(11), 2340–2358. https://doi.org/10.1108/BFJ-03-2017-0125 DOI: https://doi.org/10.1108/BFJ-03-2017-0125
Ford, S., & Despeisse, M. (2016). Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. Journal of Cleaner Production, 137, 1573–1587. https://doi.org/10.1016/j.jclepro.2016.04.150 DOI: https://doi.org/10.1016/j.jclepro.2016.04.150
Gaffoor, S. (2020). Impact of Emotional Intelligence on Job Performance of Academic Heads with Special Reference to State Universities in Eastern Province of Sri Lanka. 82, 13173–13194. http://ir.lib.seu.ac.lk/handle/123456789/4338
Ghadge, A., Mogale, D. G., Bourlakis, M., M. Maiyar, L., & Moradlou, H. (2022). Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry. Computers & Industrial Engineering, 169, 108303. https://doi.org/10.1016/j.cie.2022.108303 DOI: https://doi.org/10.1016/j.cie.2022.108303
Goleman, D. (2014). Leading for the Long Future. Leader to Leader, 2014(72), 34–39. https://doi.org/10.1002/ltl.20124 DOI: https://doi.org/10.1002/ltl.20124
Goleman, D. (2015). How to be emotionally intelligent. The New York Times. https:cuny.manifoldapp.org
Goleman, D. & Nevarez, M. (2018). Boost your emotional intelligence with these 3 questions. Harvard Business Press. https:membership.amavic.com.au
Goleman, D., Kaplan, R. S., David, S., & Eurich, T. (2018). Self-Awareness (HBR Emotional Intelligence Series) (1st ed.). Harvard Business Review Press. https: www.eiconsortium.org.
Gooty, J., Gavin, M., Johnson, P., Frazier, M., & Snow, D. (2009). In the Eyes of the Beholder: Transformational Leadership, Positive Psychological Capital, and Performance. Journal of Leadership & Organizational Studies, 15, 353–367. https://doi.org/10.1177/1548051809332021 DOI: https://doi.org/10.1177/1548051809332021
Hanafiah, M. H. (2020). Formative Vs. Reflective Measurement Model: Guidelines for Structural Equation Modeling Research. International Journal of Analysis and Applications, 18(5), 876-889. https://etamaths.com/index.php/ijaa/article/view/2166
Henseler, J. (2017). Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling. Journal of Advertising, 46(1), 178–192. https://doi.org/10.1080/00913367.2017.1281780 DOI: https://doi.org/10.1080/00913367.2017.1281780
Holzmann, P., Breitenecker, R. J., Soomro, A. A., & Schwarz, E. J. (2017). User entrepreneur business models in additive manufacturing. Journal of Manufacturing Technology Management, 28(1), 75–94. https://doi.org/10.1108/JMTM-12-2015-0115 DOI: https://doi.org/10.1108/JMTM-12-2015-0115
Hossain, M. A., Zhumabekova, A., Paul, S. C., & Kim, J. R. (2020). A Review of additive manufacturing in Construction and its Impact on the Labor Market. Sustainability, 12(20), Article 20. https://doi.org/10.3390/su12208492 DOI: https://doi.org/10.3390/su12208492
Huang, J., Wang, Y., & You, X. (2016). The Job Demands-Resources Model and Job Burnout: The Moderating Role of Personal Resources. Current Psychology, 35(4), 562–569. https://doi.org/10.1007/s12144-015-9321-2 DOI: https://doi.org/10.1007/s12144-015-9321-2
Hull, C. W. (2015). The Birth of additive manufacturing. Research-Technology Management, 58(6), 25–30. https://doi.org/10.5437/08956308X5806067
Kassem, M. H., Wahba, M. H., & Khourshed, N. F. (2021). The Effect of Organizational emotional culture on Employee Performance Moderating by Intrapreneurial Behaviours: Case Study. In 4th International Conference on Applied Research in Management, Business & Economics, January (pp. 24-41). https:www.icarbeme.org
Khan, A., Masrek, M. N., & Nadzar, F. M. (2017). Emotional intelligence and job satisfaction of academic librarians: An assessment of the relationship. Journal of Librarianship and Information Science, 49(2), 199–210. https://doi.org/10.1177/0961000616650733 DOI: https://doi.org/10.1177/0961000616650733
Khorram Niaki, M., & Nonino, F. (2017). Impact of additive manufacturing on business competitiveness: A multiple case study. Journal of Manufacturing Technology Management, 28(1), 56–74. https://doi.org/10.1108/JMTM-01-2016-0001 DOI: https://doi.org/10.1108/JMTM-01-2016-0001
Kretzschmar, N., Chekurov, S., Salmi, M., & Tuomi, J. (2018). Evaluating the Readiness Level of Additively Manufactured Digital Spare Parts: An Industrial Perspective. Applied Sciences, 8(10), Article 10. https://doi.org/10.3390/app8101837 DOI: https://doi.org/10.3390/app8101837
Lee, C.-C., Yeh, W.-C., Yu, Z., & Lin, X.-C. (2023). The relationships between leader emotional intelligence, transformational leadership, and transactional leadership and job performance: A moderator model of trust. Heliyon, 9(8), e18007. https://doi.org/10.1016/j.heliyon.2023.e18007 DOI: https://doi.org/10.1016/j.heliyon.2023.e18007
Maamari, B. E., & Majdalani, J. F. (2017). Emotional intelligence, leadership style and organizational emotional culture. International Journal of Organizational Analysis, 25(2), 327-345. https://doi.org/10.1108/IJOA-04-2016-1010 DOI: https://doi.org/10.1108/IJOA-04-2016-1010
Maddocks, J. (2023). Introducing an attitude-based approach to emotional intelligence. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1006411. DOI: https://doi.org/10.3389/fpsyg.2022.1006411
Mathew, M., & Gupta, K. S. (2015). Transformational leadership: Emotional intelligence. SCMS Journal of Indian Management, 12(2),75-84. https: search.ebscohost.com
Miao, C., Humphrey, R. H., & Qian, S. (2018). A cross-cultural meta-analysis of how leader emotional intelligence influences subordinate task performance and organizational citizenship behavior. Journal of World Business, 53(4), 463–474. https://doi.org/10.1016/j.jwb.2018.01.003 DOI: https://doi.org/10.1016/j.jwb.2018.01.003
Mohamad, M. M., Sulaiman, N. L., Sern, L. C., & Salleh, K. M. (2015). Measuring the Validity and Reliability of Research Instruments. Procedia - Social and Behavioral Sciences, 204, 164–171. https://doi.org/10.1016/j.sbspro.2015.08.129 DOI: https://doi.org/10.1016/j.sbspro.2015.08.129
Moorthy, K., Juan, L. M., Kamarudin, A. A., Govindarajo, N. S., & T’ing, L. C. (2023). Emotional intelligence on job performance: A study on Malaysian employees. Work (Reading, Mass.). https://doi.org/10.3233/WOR-220418 DOI: https://doi.org/10.3233/WOR-220418
Musso, F., Murmura, F., & Bravi, L. (2022). Organizational and Supply Chain Impacts of 3D Printers Implementation in the Medical Sector. International Journal of Environmental Research and Public Health, 19(12), Article 12. https://doi.org/10.3390/ijerph19127057 DOI: https://doi.org/10.3390/ijerph19127057
Noor, N. N. M., Rodzalan, S. A., Saat, M. M., Abdullah, N. H., Othman, A., Singh, H., & Emran, N. M. (2024). The Mismatch of Present and Required Future Workforce Skills of Manufacturing Industry. Journal of Advanced Research in Applied Sciences and Engineering Technology, 37(1), 128-138. https://doi.org/10.37934/araset.37.1.128138 DOI: https://doi.org/10.37934/araset.37.1.128138
Oettmeier, K., & Hofmann, E. (2016). 3D-Printing: How Additive Manufacturing impacts Supply Chain Business Processes and Management Components. https://www.alexandria.unisg.ch/handle/20.500.14171/104238
O’Neill, O. A., Barsade, S. G., & Sguera, F. (2023). The psychological and financial impacts of an emotional culture of anxiety and its antidote, an emotional culture of companionate love. Social Science & Medicine, 317, 115570. https://doi.org/10.1016/j.socscimed.2022.115570 DOI: https://doi.org/10.1016/j.socscimed.2022.115570
O’Neill, O. A., & Rothbard, N. P. (2017). Is love all you need? The effects of emotional culture, suppression, and work–family conflict on firefighter risk-taking and health. Academy of Management Journal, 60(1), 78-108. https://doi.org/10.5465/amj.2014.0952 DOI: https://doi.org/10.5465/amj.2014.0952
Othman, M. I., Khalifeh, A., Oweidat, I., & Nashwan, A. J. (2024). The Relationship between Emotional Intelligence, Job Satisfaction, and Organizational Commitment among First?Line Nurse Managers in Qatar. Journal of Nursing Management, 2024(1), 5114659. https://doi.org/10.1155/2024/5114659 DOI: https://doi.org/10.1155/2024/5114659
Padhy, T. P., Das, S., & Panda, L. P. (2024). Emotional intelligence and employee involvement: a study on the mediating effect of compassionate leadership. International Journal of Business Performance Management, 25(4), 565-588. https://doi.org/10.1504/IJBPM.2024.139419 DOI: https://doi.org/10.1504/IJBPM.2024.139419
Pant, I., & Yadav, R. (2016). Impact of Emotional Intelligence on the Job Performance of Employee. International Research Journal of Management, IT & Social Sciences, 3, 9. https://doi.org/10.21744/irjmis.v3i1.83 DOI: https://doi.org/10.21744/irjmis.v3i1.83
Paritala, P. K., Manchikatla, S., & Yarlagadda, P. K. D. V. (2017). Digital Manufacturing- Applications Past, Current, and Future Trends. Procedia Engineering, 174, 982–991. https://doi.org/10.1016/j.proeng.2017.01.250 DOI: https://doi.org/10.1016/j.proeng.2017.01.250
Parke, M. R., Seo, M.-G., & Sherf, E. N. (2015). Regulating and facilitating: The role of emotional intelligence in maintaining and using positive affect for creativity. Journal of Applied Psychology, 100(3), 917–934. https://doi.org/10.1037/a0038452 DOI: https://doi.org/10.1037/a0038452
Pascucci, F., Perna, A., Runfola, A., & Gregori, G. L. (2018). The Hidden side of additive manufacturing in management and business studies. Symphonya, 2, 91–107. DOI: 10.4468/2018.2.08pascucci.perna.runfola.gregori DOI: https://doi.org/10.4468/2018.2.08pascucci.perna.runfola.gregori
Pradhan, R. K., Jena, L. K., & Singh, S. K. (2017). Examining the role of emotional intelligence between organizational learning and adaptive performance in Indian manufacturing industries. Journal of Workplace Learning, 29(3), 235–247. https://doi.org/10.1108/JWL-05-2016-0046 DOI: https://doi.org/10.1108/JWL-05-2016-0046
Roni, S. M., Djajadikerta, H., & Ahmad, M. A. N. (2015). PLS-SEM Approach to Second-order Factor of Deviant Behaviour: Constructing Perceived Behavioural Control. Procedia Economics and Finance, 28, 249–253. https://doi.org/10.1016/S2212-5671(15)01107-7 DOI: https://doi.org/10.1016/S2212-5671(15)01107-7
Sandström, C. G. (2016). The non-disruptive emergence of an ecosystem for additive manufacturing—Insights from the hearing aid industry’s transition 1989–2008. Technological Forecasting and Social Change, 102, 160–168. https://doi.org/10.1016/j.techfore.2015.09.006 DOI: https://doi.org/10.1016/j.techfore.2015.09.006
Saunders, M.N.K., Lewis, P. and Thornhill, A. (2019) Research Methods for Business Students. 8th Edition, Pearson, New York. https://www.scirp.org/reference/referencespapers?referenceid=2907709
Schaufeli, W. B. (2017). Applying the job demands-resources model. Organizational Dynamics, 2(46), 120–132. https://doi.org/10.1016/j.orgdyn.2017.04.008 DOI: https://doi.org/10.1016/j.orgdyn.2017.04.008
Schniederjans, D. G. (2017). Adoption of 3D-printing technologies in manufacturing: A survey analysis. International Journal of Production Economics, 183, 287–298. https://doi.org/10.1016/j.ijpe.2016.11.008 DOI: https://doi.org/10.1016/j.ijpe.2016.11.008
Sembiring, N., Nimran, U., Astuti, E. S., & Utami, H. N. (2020). The effects of emotional intelligence and organizational justice on job satisfaction, caring culture, and criminal investigation officers’ performance. International Journal of Organizational Analysis, 28(5), 1113–1130. https://doi.org/10.1108/IJOA-10-2019-1908 DOI: https://doi.org/10.1108/IJOA-10-2019-1908
Shahrubudin, N., Te, C. L., & Ramlan, R. (2019). An overview of critical success factors for implementing additive manufacturing technology in manufacturing firms. Journal of Applied Engineering Science, 17(3), 379–385. https://doi.org/10.5937/jaes17-21526 DOI: https://doi.org/10.5937/jaes17-21526
Sharma, A., Agrawal, R., & Khandelwal, U. (2019). Developing ethical leadership for business organizations: A conceptual model of its antecedents and consequences. Leadership & Organization Development Journal, 40(6), 712–734. https://doi.org/10.1108/LODJ-10-2018-0367 DOI: https://doi.org/10.1108/LODJ-10-2018-0367
Siegling, A. B., Nielsen, C., & Petrides, K. V. (2014). Trait emotional intelligence and leadership in a European multinational company. Personality and Individual Differences, 65, 65–68. https://doi.org/10.1016/j.paid.2014.01.049 DOI: https://doi.org/10.1016/j.paid.2014.01.049
Signé, L. (2023). Africa’s Fourth Industrial Revolution. Cambridge University Press. https: books.google.com DOI: https://doi.org/10.1017/9781009200004
Sony, M., & Mekoth, N. (2016). The relationship between emotional intelligence, frontline employee adaptability, job satisfaction and job performance. Journal of Retailing and Consumer Services, 30, 20–32. https://doi.org/10.1016/j.jretconser.2015.12.003 DOI: https://doi.org/10.1016/j.jretconser.2015.12.003
Suhairy, M. S., Mohamed, N., Ahmad, N., Kaidi, H. M., Dziyauddin, R. A., & Sam, S. M. (2022). Emotional Intelligence Impacts on Work Performance: The Case in Telecommunication Malaysia Research Company. International Journal of Innovation and Technology Management, 19(03), 2240003. https://doi.org/10.1142/S021987702240003X DOI: https://doi.org/10.1142/S021987702240003X
Technavio (2024). Additive manufacturing market analysis North America, Europe, APAC, South America, Middle East and Africa, USA, China, Germany, UK, France-Size and Forecast 2024 to 2028. https://www.technavio.com/report/additive-manufacturing-market-industry-analysis
Urueña, A., & Hidalgo, A. (2016). Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses. Journal of Business Research, 69(4), 1384–1389. https://doi.org/10.1016/j.jbusres.2015.10.112 DOI: https://doi.org/10.1016/j.jbusres.2015.10.112
Van Woerkom, M., Bakker, A. B., & Nishii, L. H. (2016). Accumulative job demands and support for strength use: Fine-tuning the job demands-resources model using conservation of resources theory. Journal of Applied Psychology, 101(1), 141 https://doi.org/10.1037/apl0000033 DOI: https://doi.org/10.1037/apl0000033
Wan, J., Pan, K. ting, Peng, Y., & Meng, L. qiang. (2022). The Impact of Emotional Leadership on Subordinates’ Job Performance: Moderation of Positive Emotions and Moderation of Susceptibility to Positive Emotions. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.917287 DOI: https://doi.org/10.3389/fpsyg.2022.917287
Woiceshyn, J., & Daellenbach, U. (2018). Evaluating inductive vs deductive research in management studies: Implications for authors, editors, and reviewers. Qualitative Research in Organizations and Management: An International Journal, 13(2), 183–195. https://doi.org/10.1108/QROM-06-2017-1538 DOI: https://doi.org/10.1108/QROM-06-2017-1538
Woodson, T., Alcantara, J. T., & do Nascimento, M. S. (2019). Is additive manufacturing an inclusive innovation?: An examination of additive manufacturing in Brazil. Technovation, 80–81, 54–62. https://doi.org/10.1016/j.technovation.2018.12.001 DOI: https://doi.org/10.1016/j.technovation.2018.12.001
Xiong, B., Skitmore, M., & Xia, B. (2015). A critical review of structural equation modeling applications in construction research. Automation in Construction, 49, 59–70. https://doi.org/10.1016/j.autcon.2014.09.006 DOI: https://doi.org/10.1016/j.autcon.2014.09.006
Yan, Y., Zhang, J., Akhtar, M. N., & Liang, S. (2023). Positive leadership and employee engagement: The roles of state positive affect and individualism-collectivism. Current Psychology (New Brunswick, N.j.), 42(11), 9109–9118. https://doi.org/10.1007/s12144-021-02192-7 DOI: https://doi.org/10.1007/s12144-021-02192-7
Yeh, C.C., & Chen, Y.-F. (2018). Critical success factors for adoption of additive manufacturing. Technological Forecasting and Social Change, 132, 209–216. https://doi.org/10.1016/j.techfore.2018.02.003 DOI: https://doi.org/10.1016/j.techfore.2018.02.003
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Sampson Afrifa Jnr, Thywill Cephas Dzogbewu, Dennis Dzansi, Deon Johan de Beer
This work is licensed under a Creative Commons Attribution 4.0 International License.
For all articles published in IJRBS, copyright is retained by the authors. Articles are licensed under an open access Creative Commons CC BY 4.0 license, meaning that anyone may download and read the paper for free. In addition, the article may be reused and quoted provided that the original published version is cited. These conditions allow for maximum use and exposure of the work, while ensuring that the authors receive proper credit.