STEM Talent: A Game Changer in Organizational Digital Transformation

Q1 Multidisciplinary
Piyawat Jriyasetapong, S. Kiattisin, Smitti Darakorn Na Ayuthaya
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引用次数: 0

Abstract

Although organizational digital transformation (ODT) is implemented globally, Thailand and the Lao People's Democratic Republic do not possess the right factors for success under the tech-no-socio-economic paradigm. Organizations must modernize their capital resources, particularly their talent, in order to become agile, competitive, and resilient in the digital era. In this research, we identify and validate by proposing talent success factors and a framework for enabling and promoting ODT in Thailand and the Lao People's Democratic Republic. The statistical population consisted of 410 individuals who were observed in their digital businesses. Confirmatory factor analysis (CFA) shows that a four-factor model fits. The most influential factor for ODT was found to be transdisciplinary ontology talent (TOT), followed by mental model talent (MMT), enterprise architecture talent (EAT), and strategic agile talent (SAT). The findings demystified the four factors, entitled "STEM talent," in a comprehensive framework and its artifacts while explaining their respective influences. The article proposes a STEM talent and its framework for ODT with high potential, including but not limited to Thailand and the Lao People's Democratic Republic. Doi: 10.28991/ESJ-2023-07-03-020 Full Text: PDF
STEM人才:组织数字化转型的游戏规则改变者
虽然组织数字化转型(ODT)在全球范围内实施,但泰国和老挝人民民主共和国不具备在技术-社会经济范式下取得成功的正确因素。为了在数字时代变得灵活、有竞争力和有弹性,组织必须使其资本资源,特别是人才资源现代化。在本研究中,我们通过提出人才成功因素和在泰国和老挝人民民主共和国实现和促进ODT的框架来确定和验证。统计人群包括410名从事数字业务的个人。验证性因子分析(CFA)表明,四因素模型拟合。研究发现,对企业创新能力影响最大的因素是跨学科本体人才(TOT),其次是心智模型人才(MMT)、企业架构人才(EAT)和战略敏捷人才(SAT)。该研究结果在一个综合框架中揭示了被称为“STEM人才”的四个因素及其产物,并解释了它们各自的影响。本文提出了具有高潜力的STEM人才及其ODT框架,包括但不限于泰国和老挝人民民主共和国。Doi: 10.28991/ESJ-2023-07-03-020全文:PDF
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Emerging Science Journal
Emerging Science Journal Multidisciplinary-Multidisciplinary
CiteScore
5.40
自引率
0.00%
发文量
155
审稿时长
10 weeks
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