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This study aims to explore the higher education expansion phenomenon and to what extent that expansion could reshape the pattern of gender.

We selected Taiwan's higher education as a research target. First, we describe the gender diversity patterns in the humanity, social science and STEM programs according to Trow's definition. Second, we identify discrepancies in gender in the major programs according to different indices. Becker’s D, Blau index, GPI, trend analysis and multiple comparisons were used to transform the comparison series data.

First, to assess system-wide gender diversity, it was shown that in the elite stage, the D is more sensitive than the Blau index in plotting trends. Second, neither the D nor the Blau index showed sensitivity in humanity and social science programs in the post-mass stage. Third, the GPI more accurately detects differences in gender patterns in the mass and universal stages.

This study illuminates gender diversity patterns with indices transformation in higher education. Considering higher education expansion is a global phenomenon, the fitted indices can be used to detect gender diversity issues in wider higher education settings.

This study provides an example for addressing the issue using different indices to identify previous and future trends in the higher education system. The study suggests alternative interpretations for gender diversity in various programs that will assist in modifying related gender policies in higher education.

The purpose of this study is to explore the capabilities required by entry-level human resources (HR) professionals based on job advertisements by using text mining (TM) technique.

This study used TM techniques to explore the capabilities required by entry-level HR professionals based on job advertisements on HR agency 104’s website in Taiwan. Python was used to crawl the advertisements on the website, and 841 posts were collected. Next, the author used TM to explore and understand hidden trends and patterns in numerous data sets.

The results of this study revealed four critical success factors (specific skills, educational level, experience and specific capabilities), five clusters and ten classifications.

The results can aid HR curriculum developers and educators in customizing and improving HR education curricula, such that HR students can develop capabilities required to secure employment in the current HR job market.

Our results may facilitate the understanding of the current trends in the HR job market and provide useful suggestions to HR curriculum developers for improving training and professional course design, such that students’ competitiveness is enhanced and professional capabilities improved.

With the development of financial technology (FinTech), this paper aims to investigate the association between mobile payment use and payment satisfaction using data from the 2017 China Household Finance Survey (CHFS).

This study uses ordered probit regressions to examine the association between mobile payments and payment satisfaction because the dependent variable is ordinal. To alleviate endogeneity problems, this study uses instrument variables and Heckman's two-step estimation. Furthermore, to explore the potential mediators in this process, this study follows the three steps suggested by Baron and Kenny (1986). Finally, this study divides the whole sample into subsamples to examine whether the association between mobile payments and payment satisfaction differs in diverse groups.

The results indicate that mobile payment use is positively associated with payment satisfaction. Moreover, mediation analyses imply that mobile payment use may help increase consumers' credit availability, which eventually improves payment satisfaction. Three moderators of this association are financial literacy, expenditure level and portfolio diversification, which enhance the positive association between mobile payment use and payment satisfaction.

This study explores the potential mediators between mobile payment use and payment satisfaction, which is beneficial to comprehensively understanding various pathways of this process. Moreover, this study conducts heterogeneous analyses to investigate whether associations between mobile payments and payment satisfaction are moderated by various factors, which will allow policymakers to formulate policies appropriate for specific situations of diverse consumer groups.