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: The study has analyzed managerial analytics integrated with the Internet of Things (IoT) that has mobilized sustainable employee training and organizational performance in the banking sector. The intention is to evaluate the managerial analytics practiced by Bangladeshi banks and financial institutes (FIs) and their impact on employees’ training and performance. The present research investigates the implementation of sustainable employee training initiatives and effectiveness in working fields using IoT, the historical extant training practices of the organization, and the relationship between managerial analytics factors that affect the banking system. Here in this study, a scenario-based approach was used to demonstrate the integration of smart training for employees with IoT using managerial analytics tools, and a cross-sectional research strategy was also experienced among the related employees of Bangladesh in Dhaka city. And 143 purposive sampling metadata were analyzed. 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 the training of employees. The findings have identified the indicators- training content and attitude as analytical patterns, and IoT technology and monitoring as technological that significantly impacts the employees’ performance. It emphasizes the managerial analytics concept that facilitates training and development for employees with newly required competencies in the banking sector through IoT. Managerial analytics integrated into IoT-based employee training is significantly effective among operations and promotes smart performance observation in the banking sector. These insights offer valuable guidance to bankers, policymakers, and managerial analysts striving to incorporate sustainable practices into their operations to foster long-term growth in the banking sector.
Keywords: Sustainable, Managerial Analytics, IoT, Training, Implementation, Evaluation
Scope of the Article: Management