Abstract
This study focuses on the characteristics of Human Resource cloud service and the effects of the intention to use its technology in an empirical manner. The technology’s aspects are organized by researching Human Resource Information system and cloud service and Unified Theory of Acceptance and Use of Technology and as guidelines, preceding studies were used to create the research model and propose the hypothesis. This model is based on UTAUT with 8 factors (Compatibility, Ubiquitous Network Access, Complexity, Share ability, Human Resource Information System expertise, Chief Human Resource Officer Support, Competition, Government Policy Support) for performance expectancy, effort expectancy, Facilitating Conditions and Social Influence. For empirical analysis, a survey was conducted on 341 office workers in South Korea. The results are that performance expectancy and effort expectancy were affected by Compatibility, Complexity, Share ability while Ubiquitous Network Access only affected performance expectancy. While facilitating Conditions and Social Influence were affected by Both Chief Human Resource Officer support and Competition, both Human Resource Information System expertise and Government Policy Support didn’t affect to facilitating Conditions and Social Influence. Performance expectancy, social influence and facilitating conditions affected the intention to use. This study suggested the practical implications to use human resource cloud service in the future and discussed the limitation of the study and hence forth future research.
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Seo, J., Cho, YW., Jung, KJ., Gim, GY. (2019). A Study on Factors Affecting the Intension to Use Human Resource Cloud Service. In: Lee, R. (eds) Big Data, Cloud Computing, Data Science & Engineering. BCD 2018. Studies in Computational Intelligence, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-96803-2_12
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