员工对人力资源管理信息系统的接受度:斯里兰卡选定公营企业的UTAUT和TTF综合模型

V. Sachitra, Tharini Wimalasena
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引用次数: 0

摘要

目的:在现代数字世界中,许多公司正在转向以技术为基础的应用程序来执行人力资源的管理工作。如今,员工能够访问基于网络的人力资源管理信息系统(HRMIS),从系统应用和产品(SAP)、PeopleSoft、Bann 和 Lawson 等公认技术中获取关键数据。本研究旨在调查影响斯里兰卡选定公共公司采用人力资源管理信息系统意向的因素。设计:考虑到接受或抵制技术的重要概念,对技术接受与使用统一理论(UTAUT)模型和任务技术契合(TTF)模型中的六个组成部分(绩效预期、努力预期、社会影响、促进条件、任务特征和技术特征)进行了背景分析,以调查影响斯里兰卡选定公共企业采用人力资源管理信息服务意向的驱动因素。目标人群被确定为斯里兰卡所选上市公司的高管、主管/技术官员、文员和专职人员。采用结构化在线问卷收集数据,包括 30 个项目。研究结果多元回归分析结果显示,绩效预期、任务特征和技术特征对用户采用人力资源管理信息系统的意向有积极影响。而努力期望、社会影响和便利条件则有负面影响。研究意义:研究结果突出表明,在评估人力资源管理信息系统或其他信息系统的接受影响因素时,有必要将 TTF 要素与技术接受理论结合起来。研究结果将有助于管理层进行必要的组织变革,以鼓励员工使用人力资源管理信息系统应用程序。
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Employee Acceptance of Human Resource Management Information System: Integrated UTAUT and TTF Model in a Selected Public Firm in Sri Lanka
Aim: In the modern digital world, many companies are moving towards technology-based applications to perform human resource administration work. Employees nowadays are capable of accessing a web-based Human Resource Management Information System (HRMIS) to obtain critical data from recognized techniques such as System Applications and Products (SAP), PeopleSoft, Bann and Lawson. This study aims to investigating the factors affecting the adopting intention of HRMIS in a selected public firm in Sri Lanka. Design: Acknowledging the vital concepts on accepting or resisting technology, six components (performance expectancy, effort expectancy, social influence, facilitating conditions, task characteristics, and technology characteristics) from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Task Technology Fit (TTF) model were contextualized to investigate the drivers influencing HRMIS adoption intentions in a selected public firm in Sri Lanka. Target population was identified as the Executives, Supervisors/Technical Officers, Clerical and Allied employees of the chosen public company in Sri Lanka. A structured online questionnaire, including 30 items, was used to collect data. Findings: Multiple regression analysis results revealed that the factors of Performance Expectation, Task Characteristics, and Technology Characteristics have a positive influence on users’ adoption intention to HRMIS. Effort Expectancy, Social Influence, and Facilitating Conditions had negative influence. Implications: The outcomes highlight the necessity of combining TTF components with technology acceptance theories when evaluating the factors influencing acceptance of HRMIS or other information systems. The study's findings will aid management in making the required organizational changes to encourage employees to use the HRMIS application.
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