智慧城市人力资源管理的技术智能解决方案

Pub Date : 2023-07-30 DOI:10.12694/scpe.v24i2.2078
Garima Vijh, Swati Agrawal, Richa Sharma
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引用次数: 1

摘要

智慧城市的基础是基于自治和分散的架构,该架构由复杂的信息和通信技术(ICT)与技术支持解决方案相结合,以改善工业4.0中的业务管理流程。本研究旨在研究区块链技术(DLT)在构建IOT(物联网)智慧城市解决方案的组织人力资源管理(HRM)中的应用。目前的研究探索了一组独特的因素,这些因素是从广泛的文献中选择出来的,并从15位在各自组织中具有丰富区块链技术经验的专家那里获得了信息。采用综合模糊层次分析法(F-AHP)对确定的成功因素进行排序。进一步,利用改进的决策试验与评估实验室(M-DEMATEL)方法表征区块链与人力资源管理整合中不同子因素之间复杂的因果关系。研究结果表明,区块链的应用将促进基于物联网的智能社区的范式变革,招聘人员将验证候选人的学历、技能和工作经验。工资管理人员将确定更有效的方法,使工作不那么复杂和温和,能够及时向全球雇员付款。此外,DLT可以增强员工的学习记录,更新人力资源管理数据库技术中的实时信息。因此,为未来的工业4.0开发人员提供了关于区块链如何改善下一代工业应用的详细指南。开发的方法可以帮助决策者,并提供一个基本的观点,在他们选择整合以增强工业4.0技术之前,检查在组织的人力资源管理环境中实施区块链技术的好处。本研究将是在智能人力资源管理过程中综合技术支持解决方案的关键因素和子因素的新颖尝试,为重新思考人力资源管理策略以将区块链技术纳入组织提供了思路。
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Technology Enabled Intelligent Solution in Human Resource Management for Smart Cities
The foundation of smart cities is based on an autonomous and decentralized architecture, which consists of sophisticated information and communication technologies (ICT) in convergence with technology enabled solution to improve the business management process in industry 4.0. This study tends to examine the adoption of blockchain technologies (DLT) in the human resource management (HRM) of organizations in building solutions for IOT (Internet of things) smart cities. The current study explores a unique set of factors selected from the extensive literature and acquired information from fifteen experts having significant experience of blockchain technology in their respective organizations. An integrated fuzzy analytic hierarchy process (F-AHP) is applied to prioritize the identified success factors. Further, the modified decision-making trial and evaluation laboratory (M-DEMATEL) method is utilized to represent the complicated causal relationships among different sub-factors on blockchain-HRM integration. The findings show the application of blockchain will foster a paradigm change in IOT based smart communities, where recruiters verify the candidate credentials including education, skills, and work experience. The payroll managers would determine the more effective way to make work less complex and moderate, enabling timelier payments to global employees. Furthermore, DLT would enhance the employee learning records and update the real-time information in HRM database technologies. Thus, providing a detailed guide for future Industry 4.0 developers about how blockchain can improve the next generation of industrial applications. The developed method can help the decision-makers and provide a foundational view to examine the benefits of implementing blockchain technology in the HRM setting of an organization before they choose to integrate in order to enhance Industry 4.0 technologies. This research will be a novel attempt to synthesize the key factors and subfactors about technology enabled solution within the intelligent HRM process, shedding light to rethink HRM strategies to incorporate blockchain technology in organizations.
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