通过提高人力资源素质构建跨行业创新生态系统

Syayyidah Maftuhatul Jannah
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引用次数: 1

摘要

研究目的:本研究旨在分析员工敏捷性对创新行为的影响,数字素养和心理状况对员工敏捷性的影响,以及数字素养和心理状况作为调节变量对员工敏捷性与创新行为关系的作用。设计/方法/方法:收集的数据类型是使用在线问卷调查的原始数据。抽样方法为目的抽样技术。然后使用扫描电镜- pls对收集的数据进行处理和分析。研究发现:本研究结果表明,员工敏捷性对创新行为有正向影响。数字素养和心理状况对员工敏捷性也有正向影响。然而,只有心理条件对员工敏捷性与创新行为之间的关系有调节作用。理论贡献/独创性:本研究的结果说明了员工敏捷性如何影响创新行为。通过良好的数字素养来使用数字技术将进一步鼓励工业创新的产生。东南亚背景下的管理启示:组织应该在所有部门的各个行业参与者之间建立大规模的合作,通过鼓励劳动力的敏捷性来创造产业创新。研究局限及启示:本研究在各行业样本数量不均。未来的研究可以考虑抽样,每个工业部门可以有足够的样本相似性,以便进行比较。
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Developing Innovation Ecosystem between Cross-Sector Industry Players through Human Resource Quality Improvement
R esearch Aims: This study aimed to analyze the effect of workforce agility on innovative behavior, the effect of digital literacy and psychological conditions on workforce agility, and the role of digital literacy and psychological conditions as moderator variabels on the relationship between workforce agility and innovative behavior. Design/methodology/approach: The type of data collected was primary data using an online questionnaire. The sampling method was purposive sampling technique. The collected data were then processed and analyzed using SEM-PLS. Research Findings: The results of this study indicated that workforce agility had a positive effect on innovative behavior. Digital literacy and psychological conditions also had positive effect on  workforce agility. However, only psychological conditions had a moderating effect on the relationship between workforce agility and innovative behavior. Theoretical Contribution/Originality: The results of this study illustrates how workforce agility affects innovative behavior. The use of digital technology through good digital literacy will further encourage the creation of industrial innovations. Managerial Implication in the South East Asian context : Organisations should build massive collaboration among various industry players in all sectors, by encouraging workforce agility in order to create industrial innovations. Research limitation & i mplications: This study has uneven number of  samples in each industry. Future studies can consider sampling where each industrial sector can have sufficient sample similarity so comparisons can be made.
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