| dc.description.abstract | 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. | en_US |