Practices of Managerial Analytics in IoT-based Sustainable Employee Training and Organizational Performance at the Bank and Financial Institutes

Md. Mohsin Kabir, Mohammad Saddam Hosen, Dr. Mohammad Thoufiqul Islam, Shamal Chandra Hawlader
{"title":"Practices of Managerial Analytics in IoT-based Sustainable Employee Training and Organizational Performance at the Bank and Financial Institutes","authors":"Md. Mohsin Kabir, Mohammad Saddam Hosen, Dr. Mohammad Thoufiqul Islam, Shamal Chandra Hawlader","doi":"10.35940/ijmh.l1732.10110724","DOIUrl":null,"url":null,"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.","PeriodicalId":14104,"journal":{"name":"International Journal of Management and Humanities","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management and Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35940/ijmh.l1732.10110724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 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.
银行和金融机构基于物联网的可持续员工培训与组织绩效中的管理分析实践
本研究分析了与物联网(IoT)相结合的管理分析技术,该技术在银行业调动了可持续的员工培训和组织绩效。研究旨在评估孟加拉国银行和金融机构(FIs)实施的管理分析及其对员工培训和绩效的影响。本研究调查了利用物联网技术在工作领域实施可持续员工培训计划的情况和效果、组织的历史现有培训实践以及影响银行系统的管理分析因素之间的关系。在本研究中,采用了基于场景的方法,利用管理分析工具展示了员工智能培训与物联网的整合,并在孟加拉国达卡市的相关员工中体验了横断面研究策略。并对 143 个目的性抽样元数据进行了分析。我们提供了一个模型,用于评估管理分析对员工的功效,从而提高运营和学习成果。研究结果证实了所提出的员工培训评估模型的有效性。研究结果确定了培训内容和态度作为分析模式的指标,以及物联网技术和监控作为对员工绩效产生重大影响的技术指标。研究强调了管理分析的概念,即通过物联网促进银行业员工新能力的培训和发展。将管理分析融入基于物联网的员工培训,在银行业的运营和促进智能绩效观察方面效果显著。这些见解为银行家、政策制定者和管理分析师提供了宝贵的指导,他们正努力将可持续实践纳入其运营中,以促进银行业的长期发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信