Saxena Mansi, Bagga Teena, Gupta Sangeeta
Amity University, Noida, India.
Amity Business School, Amity University, Noida, India.
Int J Inf Technol. 2021;13(4):1649-1657. doi: 10.1007/s41870-021-00677-z. Epub 2021 May 4.
The golden rule developed by Gordon E. Moore in 1965 stands forth and upholds its perception, which is observant with trending technology and making organizations, groups and individuals extract benefits from machine. AI, Robotics, Business Intelligence, Big Data and Analytics, Edge Computing, Hyperautomation, Blockchain, Democratization, Human Augmentation, Multiexperience are technical domains and trends supporting ongoing technical progress making mankind to innovate and create superhuman capabilities leaving HRs to fight the battle of replacing technology-literate people with people-literate technology. The likeliness towards analytics and complex algorithms made a breakthrough into a creative zone extending manageable workforce with the rising trends. The primary study with 108 h of leading Service Organizations of India was made to examine the recent tools and techniques for HR analytics which are adopted by them. As we recognized that analytics is driving force for HRs to be strategic business partner and step further for transforming roles. In addition we identified the implication of analytics on various HR data and decisions made by them.
戈登·E·摩尔在1965年提出的黄金法则脱颖而出并坚持其观点,即紧跟技术发展趋势,使组织、团体和个人从机器中获取利益。人工智能、机器人技术、商业智能、大数据与分析、边缘计算、超级自动化、区块链、民主化、人类增强、多体验是支持持续技术进步的技术领域和趋势,促使人类进行创新并创造超人能力,这使得人力资源部门面临用懂人的技术取代懂技术的人的挑战。对分析和复杂算法的偏好取得突破,进入了一个创造性领域,随着趋势上升,可管理的劳动力也在增加。对印度108小时领先服务组织进行了初步研究,以考察它们采用的人力资源分析最新工具和技术。因为我们认识到分析是人力资源部门成为战略业务伙伴并进一步转变角色的驱动力。此外,我们还确定了分析对各种人力资源数据及其所做决策的影响。