Xiaojun Ke
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Promoting digital employment intention among students of Chinese higher education institutions
Jinshen Yu , Songyu Jiang , Jian Han , Lin Li , Xiaojun Ke doi: http://dx.doi.org/10.21511/ppm.21(3).2023.03Problems and Perspectives in Management Volume 21, 2023 Issue #3 pp. 22-39
Views: 466 Downloads: 145 TO CITE АНОТАЦІЯDigital employment is one of the critical concepts of the digital economy for sustainable development. Promoting digital employment intention of potential employees is indispensable for developing the digital economy. The study aims to explore how digital employment policies predict digital employment intentions and to construct a structural equation model. Based on an online survey of 470 students with digital work experience from Chinese higher education institutions, the data were processed using SPSS 26.0 and Amos 26.0. The results uncover that digital employment policies have a positive impact on digital employability (β = 0.538, p < 0.001), digital employment capital (β = 0.524, p < 0.001), and digital employment intentions (β = 0.257, p < 0.001). At the same time, digital employability (β = 0.216, p < 0.001) and digital employment capital (β = 0.505, p < 0.001) also have a positive impact on digital employment intentions. The structural equation model emphasizes the significant mediating effect of digital employability (0.116) and digital employment capital (0.265). Therefore, the government should actively promote digital policies to encourage and enhance digital employment capabilities, promoting digital employment intentions and behaviors. The support and development of digital employability by the entire society, especially schools, and families, is also significant.
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Elderly tourism management: A bibliometric approach
Elderly tourism constitutes an important sector within the sustainable development of the tourism industry, attracting an increasing body of research focused on market development. This study aims to outline the progression of elderly tourism research within the past five years (2019–2023) and determine prospective research trajectories and opportunities in the subject. Employing CiteSpace visual analysis technology, this investigation constructs knowledge graphs of authors, institutions, and countries from 332 English-language academic articles from the Web of Science and culminates a keyword co-occurrence knowledge graph. Next, cluster and burst analyses revealed the prevailing trends and focal points in elderly tourism research. The results underscore that while many researchers have been drawn to elderly tourism, the collaborative relationships between these scholars remain tenuous, resulting in the relatively disparate study and the absence of a lead author group. China dominates the field, producing a far greater quantity of studies than other nations. Hence, this study encourages different countries, higher education institutions and disciplines to strengthen cooperation in the management and development of elderly tourism, especially paying attention to the importance of elderly tourism services, quality management and technology integration for the sustainable development of elderly tourism.
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