摘要: | 邇來隨著數位轉型與永續發展浪潮遽然興起,歐盟提出了一個新概念,即「雙軸轉 型」。是故,為使社會面與經濟面能夠齊順轉型之步伐,亟需優秀之雙軸轉型人才。強調 人才在轉型過程中,應同時關注其數位能力和永續能力。然而,在目前的研究中,尚未 有相關的評估量表存在。 本研究主要目的是開發一套量化的雙軸能力量表,並進行實證案例分析。此量表結 合數位能力和永續能力,並依據國際架構制定,如英國數位建設中心數位能力框架和歐 盟永續發展能力框架。數位能力包括資料基礎知識、資料生命週期與品質管理、資料建 模、資料分析與智慧、經驗與應用、資訊安全與道德能力;永續能力包括體現永續價值 觀、擁抱永續複雜性、展望永續未來、為永續發展行動。研究經過信、效度分析確認量 表的可應用性後,吾人對國內某大學的研究生進行實證案例分析,並延伸至人口統計變 項的關聯性探討。透過隨機分層抽樣,共獲得 260 份有效問卷。 吾人使用數位能力與永續能力的因素分數進行主成分分析。透過此分析建立新的主 成分變數以綜合原本的因素。最終的分析結果呈現出兩個主成分,分別稱為 Factor1 和 Factor2,這兩個主成分成功地涵蓋原始數據中的所有變異,透過這兩個成分相加,得到 了雙軸能力的綜合分數。結果顯示,性別對雙軸能力並無顯著影響,而學群背景和部分 MBTI 人格特質可能在特定能力上產生差異。特別的是,實習經驗與永續能力和雙軸能 力呈正向關聯。憑此調查結果,深入了解我國高等教育市場中雙軸人才的能力程度分佈。 本研究不僅開闢雙軸人才評估的新視野,也為追求創新和永續發展的組織提供了實 用工具和策略,助力他們進行雙軸轉型,增強競爭力,並為全球新挑戰和機遇做好準備。;Recently, with the rise of the wave of digital transformation and sustainable development, the European Union has put forth a new concept, namely "Twin transformation." Hence, in order to facilitate a smooth transformation in both social and economic aspects, there is an urgent need for outstanding twin transformation talents. The emphasis is on talents who, during the transformation process, should focus simultaneously on their digital and sustainability competence. However, no relevant evaluation scale exists in current research. The primary purpose of this study is to develop a quantitative twin transformation competence scale and conduct empirical case study. This scale combines digital competence and sustainability competence and is formulated based on international frameworks, such as the Centre for Digital Built Britain’s digital competence framework and the European Union′s sustainability competence framework. Digital competence includes Data Fundamentals, Lifecycle Assurance & Quality Management, Data Modeling, Analytics & Intelligence, Experience & Application, and Security & Ethics. Sustainable competence includes Embodying Sustainability Values, Embracing Complexity in Sustainability, Envisioning Sustainable, and Acting for Sustainability. After the study′s validity and reliability analysis confirmed the applicability of the scale, we conducted empirical case study on graduate students at a domestic university and extended to the correlational study of demographic variables. Through random stratified sampling, a total of 260 valid questionnaires were obtained. We used the factor scores of digital competence and sustainability competence to perform principal component analysis. Through this analysis, new principal component variables were established to synthesize the original factors. The final analysis revealed two principal components, named Factor1 and Factor2, covering all the variations in the original data. By adding these two components, a composite score for twin transformation competence was obtained. The results showed that gender did not significantly affect twin transformation competence, while academic background and some MBTI personality traits might cause differences in specific competences. Notably, internship experience had a positive correlation with sustainable capability and twin transformation competence. Based on these survey results, we gained a deeper understanding of the distribution of twin transformation talents′ competences in our country′s higher education market. This research not only opens up new horizons for the evaluation of twin transformation talents but also provides practical tools and strategies for organizations pursuing innovation and sustainable development. It empowers them to undertake twin transformation, enhance competitiveness, and prepare for global new challenges and opportunities. |