Practices of Managerial Analytics in IoT-based Sustainable Employee Training and Organizational Performance at the Bank and Financial Institutes
Md. Mohsin Kabir1, Mohammad Saddam Hosen2, Mohammad Thoufiqul Islam3, Shamal Chandra Hawlader4
1Md. Mohsin Kabir, Assistant Professor (Management), BCS (General Education), Deputation, Directorate of Secondary and Higher Education, Bangladesh.
2Mohammad Saddam Hosen, M.Phil (Researcher), Department of Management, National University, Gazipur-1704, Bangladesh.
3Dr. Mohammad Thoufiqul Islam, Professor, Department of Management, University of Dhaka, Bangladesh.
4Shamal Chandra Hawlader, Deputy Director (Deputation), Rural Development Academy (RDA), Bogura, Bangladesh.
Manuscript received on 03 July 2024 | Revised Manuscript received on 13 July 2024 | Manuscript Accepted on 15 July 2024 | Manuscript published on 30 July 2024 | PP: 13-24 | Volume-10 Issue-11, July 2024 | Retrieval Number: 100.1/ijmh.L173210120824 | DOI: 10.35940/ijmh.L1732.10110724
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study analyses the integration of managerial analytics with the Internet of Things (IoT), which has facilitated sustainable employee training and enhanced organisational performance in the banking sector. The intention is to evaluate the managerial analytics practices employed by Bangladeshi banks and financial institutions (FIs) and their impact on employees’ training and performance. The present research investigates the implementation of sustainable employee training initiatives and their effectiveness in the workplace, utilising IoT, the organisation’s historical training practices, and the relationship between managerial analytics factors that impact the banking system. In this study, a scenario-based approach was employed to demonstrate the integration of innovative training for employees with IoT using managerial analytics tools. A cross-sectional research strategy was also employed among the related employees in Dhaka City, Bangladesh. A total of 143 purposive sampling metadata were analysed. We offer a model for evaluating the efficacy of managerial analytics on employees, which enhances operational and learning outcomes. The study’s results confirmed the validity of the proposed model for evaluating employee training. The findings have identified training content and attitude as analytical patterns, and IoT technology and monitoring as technological factors that significantly impact the employees’ performance. It emphasises the managerial analytics concept that facilitates training and development for employees with newly required competencies in the banking sector, leveraging IoT. Managerial analytics integrated into IoT-based employee training are significantly effective in operations and promote astute performance observation in the banking sector. These insights provide valuable guidance to bankers, policymakers, and financial analysts seeking to integrate sustainable practices into their operations, thereby fostering long-term growth in the banking sector.
Keywords: Sustainable, Managerial Analytics, IoT, Training, Implementation, Evaluation
Scope of the Article: Management