HUMAN RESOURCE ANALYTICS AND PERFORMANCE OF SHIPPING AGENTS IN MOMBASA COUNTY, KENYA

GIDNORAH MWAKULI MANGALE, STANLEY KAVALE, PhD

Abstract


This study investigated the impact of human resource analytics on the organizational performance of shipping agents in Mombasa County, Kenya. Specifically, it examined recruitment analytics, training analytics, employee appraisal analytics, and employee retention analytics. The research was underpinned by evidence-based management theory, resource-based view theory, human capital theory, and contingency theory. A descriptive research design was used, targeting Human Resource professionals from 42 shipping agents registered by the Kenya Ship Agents Association as of March 2024. A sample size of 69 was determined using Taro Yamane's formula and purposive sampling. Data were collected through a structured questionnaire and analyzed using SPSS version 25. The results revealed significant positive correlations between organizational performance and the four human resource analytics. Multiple regression analysis indicated that training, employee appraisal, and retention analytics positively and significantly affected organizational performance, while recruitment analytics negatively and insignificantly influenced organization performance. A knowledge gap among staff involved in recruitment was highlighted as the reason for the results of recruitment analytics, hence a need to address it. The study concluded that shipping agents in Mombasa should utilize these human resource analytics to improve performance.

Keywords: Human resource analytics, recruitment analytics, training analytics, employee appraisal analytics, employee retention analytics and organization performance

CITATION: Mangale, G. M., & Kavale, S. (2024). Human resource analytics and performance of shipping agents in Mombasa County, Kenya. The Strategic Journal of Business & Change Management, 11 (2), 1067 – 1076. http://dx.doi.org/10.61426/sjbcm.v11i2.2969


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References


Ameer, R., Garg, P., & Singh, H. (2023). Impact of HR Analytics Competencies on Organizational Performance. Journal of Pharmaceutical Negative Results ¦, 14(2). https://doi.org/10.47750/pnr.2023.14.S02.21

Boakye, A., & Ayerki Lamptey, Y. (2020). The Rise of HR Analytics: Exploring Its Implications from a Developing Country Perspective. Journal of Human Resource Management, 8(3), 181. https://doi.org/10.11648/j.jhrm.20200803.19

Deendayal Upadhyaya, P., Mahavidyalaya, A., & Tulungia, B. (2022). HR Metrics-Its impact on Return on Investment: A study on select organizations in Assam. Dr. Kabita Kalita (Corresponding author) Assistant Professor Department of Management. Journal of Contemporary Issues in Business and Government, 28(03), 2022. https://doi.org/10.47750/cibg.2022.28.03.020

Dr. Ahem, D., Dr. Anute, N., & Mr. Kale, H. (2022). HR Analytics and its Impact on Organizations Performance.

Falletta, S. V., & Combs, W. L. (2020). The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities. Journal of Work-Applied Management, 13(1), 51–68. https://doi.org/10.1108/jwam-03-2020-0020

Gachomo, H. N., & Wainaina, L. (2023). Quality Management Practices and Performance of Logistics Companies in Mombasa County, Kenya. International Journal of Business Management, Entrepreneurship and Innovation, 5(1), 123–141. https://doi.org/10.35942/jbmed.v5i1.316

Hellen, C., & Thomas, M. (2023). Human Resource Analytics and Performance Of Independent Regulatory Agencies In Kenya Background of the Study. Cherotich & Mose; International Journal of Management and Business Research, 5(2), 107–119.

Hundiwala, S. (2019). Impact of People Analytics for sustainability of organisation.

Jayanthi, R. (2020). A Study on Effectiveness of HR Metrics. International Journal of Science and Research (IJSR), 9(2). https://doi.org/10.21275/SR2022513103

Kabita, K., & Ananya, D. (2022). HR Metrics-Its impact on Return on Investment: A study on select organizations in Assam. Journal of Contemporary Issues in Business and Government, 28(03), 2022. https://doi.org/10.47750/cibg.2022.28.03.020

Kale, H., & Anute, N. (2022). HR Analytics and its Impact on Organizations Performance.

Kiran, P., Sujitha, S., Estherita, S., & Vasantha, S. (2023). Effect of HR Analytics, Human Capital Management On Organisational Performance. Journal for Educators, Teachers and Trainers JETT, 14(2). https://doi.org/10.47750/jett.2023.14.02.011

McCartney, S., & Fu, N. (2022). Bridging the gap: why, how and when HR analytics can impact organizational performance. HR Analytics and Organizational Performance, 60(13, 2022). https://doi.org/10.1108/MD-12-2020-1581

Moturi, D. G., Wekesa, S., & Juma, D. (2023). Influence of Self Efficacy on Employee Acceptance Levels and Use of Human Resource Analytics in Microfinance Institutions in Kenya. International Journal of Business Management, Entrepreneurship and Innovation, 5(1), 31–50. https://doi.org/10.35942/jbmed.v5i1.304

Moturi, D., Wekesa, S., & Juma, D. (2022). Influence of performance expectancy on individual adoption levels of human resource analytics among human resource professionals in microfinance institutions in Kenya. African Journal of Science, Technology and Social Sciences, 1(1). https://doi.org/10.58506/ajstss.v1i1.94

Muhammad, G., & Naz, F. (2022). A moderating role of HR analytics between employee engagement, retention and organisational performance. International Journal of Business Environment, 13(4), 345. https://doi.org/10.1504/ijbe.2022.126370

Muriithi, A. W., & Waithaka, P. (2019). People Analytics and Performance of Deposit-Taking Micro Finance Institutions in Nyeri County, Kenya. International Journal of Current Aspects, 3(V), 186–209. https://doi.org/10.35942/ijcab.v3iv.70

Murugi, C. (2022). Effect of new technology adoption on logistics performance of transport operators at inland container depot Nairobi. African Tax and Customs Review.

Nancy, N., Enock, M., Richard, N., & Christopher, N. (2023). The Relationship Between Localization Technology and Performance of Shipping Lines in Kenya: The Moderating Effect of International Maritime Regulations. African Journal of Education, Science and Technology, 7(3).

Narendar, P., & Mishra, M. (2021). Analyzing the Impact of HR Analytics on Organizational Performance of IT Industry -Mixed Methodology Approach. Webology, 18(2), 1735–1188.

Oladipupo, O., & Olubusayo, F. (2020). Human Resource Analytics Dimensions and Employee Engagement in Manufacturing Industry in Nigeria: A Conceptual Review. Journal of Management Information and Decision Sciences, 23(5), 629–637.

R, T. (2021). The Role of Recruitment Analytics and Metrics in Targeted Recruitment Post Pandemic. Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India. https://doi.org/10.4108/eai.7-12-2021.2314764

Samtani, D. (2022). The Advantages of Using Prescriptive Analytics in Recruitment and Performance Management processes by HR professionals based in Ireland.

Vadithe, R., & Kesari, B. (2023). Human Resource Analytics on Talent Acquisition: A Systematic Review Human Resource Analytics on Talent Acquisition: A Systematic Review. Journal of Development Economics and Management Research Studies (JDMS), a Peer Reviewed Open Access International Journal, 10(18), 30–39.

Varma, C., & Chavan, C. (2019). A Case of HR Analytics to Understand Effect on Employee Turnover. Journal of Emerging Technologies and Innovative Research (JETIR), 6(6).




DOI: http://dx.doi.org/10.61426/sjbcm.v11i2.2969

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