Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.

EXPRESS: Dynamic relationships between LMX and employee role-making behaviours: The moderating role of employee emotional ambivalence

We set out to understand how role-making works and what roles employees and leaders play in this process. Employees often make changes to their work roles, such as by negotiating their job responsibilities and seeking challenging tasks. In this study, we suggest that role-making behaviours influence and are influenced by the dyadic relationship between leaders and employees, otherwise known as leader–member exchange (LMX). We collected three waves of survey data from a sample of Chinese employees who were recent college graduates (n = 203). The results from cross-lagged panel analyses showed that 1) LMX and job-change negotiation were reciprocally related to each other and 2) initial LMX was associated with increased challenge-seeking behaviours, although these behaviours did not lead to greater LMX later on. In addition, we found evidence that when employees experienced a high level of emotional ambivalence (a conflicting, mixed, and complex emotional state), the direct and reciprocal relationships between LMX and role-making behaviours were weakened. Our findings advance the understanding of the development of leader–employee relationships in the workplace and have implications for strengthening employee perceptions of high-quality relationships with their leaders by making changes to their workplace roles.

The Employability and Career Development of Finance and Trade College Graduates

Employability is a vital aspect for human development in career fields. In order to explore the factors affecting the employability of finance and trade graduates in higher vocational colleges, the researchers focused on human development in educational settings and conducted a piece of quantitative research within nine higher vocational colleges. The study uses descriptive statistical analysis to demonstrate the sample structure, using t-test, rank sum test, and chi-square test to assess the variables. It also adopts exploratory factor analysis to identify the classification of both educational practice and employability. Then, a multivariable linear regression model was adopted to examine the relationships between three main factors as well as the employability and career development of finance and trade graduates. The findings imply that the soft skills and basic skills of finance and trade college graduates have immensely improved through educational practice; graduates with high motivation for learning could enhance their soft skills and more internships or club engagement brings stronger professional skills. Based on these results, higher vocational colleges, enterprises, policymakers, teachers, and finance and trade graduates will benefit from the findings related to the reform of educational practice for strengthening graduate employability and human development. The originality of this paper is the conceptual evolution of finance and trade college graduate employability, as well as the empirical analysis on educational practice, student engagement, and family background affecting their human development.

Revisiting Horizontal Stratification in Higher Education: College Prestige Hierarchy and Educational Assortative Mating in China

Existing research on assortative mating has examined marriage between people with different levels of education, yet heterogeneity in educational assortative mating outcomes of college graduates has been mostly ignored. Using data from the 2010 Chinese Family Panel Study and log-multiplicative models, this study examines the changing structure and association of husbands' and wives' educational attainment between 1980 and 2010, a period in which Chinese higher education experienced rapid expansion and stratification. Results show that the graduates of first-tier institutions are less likely than graduates of lower-ranked colleges to marry someone without a college degree. Moreover, from 1980 to 2010, female first-tier-college graduates were increasingly more likely to marry people who graduated from similarly prestigious colleges, although there is insufficient evidence to draw the same conclusion about their male counterparts. This study thus demonstrates the extent of heterogeneity in educational assortative mating patterns among college graduates and the tendency for elite college graduates to marry within the educational elite.

Pantawid Pamilyang Pilipino Program (4Ps) Beneficiaries: An Analysis of Their Satisfaction Levels

This study examined the difference in the satisfaction level of 4Ps beneficiaries in Barangay VI, Victorias City, Negros Occidental, Philippines between the year 2015 and year 2020. The design of the study used a descriptive comparative method of research. The participants were 216 from 2015, 250 from 2020, and were official 4Ps beneficiaries of Barangay VI, Victorias City, Negros Occidental in the specified years. Results were analyzed with frequency, percentage, mean, and T-test. The findings revealed that the majority of them were above 30 years old with 349 (74.89%), female with 425 (91.20%), married with 359 (77.04%), laborers with 268 (57.51%), with 1-3 number of children with 261 (56%), and high school level of educational attainment with 284 (60.95%). Further, it indicated that there was an increasing trend in the 4Ps parent-beneficiaries in 2020 with the following: above 30 years old (41.2%) widow (7.1%), single parent (9.9%), no work (17.4%), laborers (8.8%), college level (4.8%) and college graduates (0.1%). It revealed the decreasing trend in the year 2020 with the following 4Ps parent beneficiaries: 30 years old and above (46.8%) and married (13.5%). The satisfaction level of 4Ps beneficiaries to CCT has significantly increased to a high level of satisfaction by 2020. There was a significant difference in the satisfaction level of 4Ps parent- beneficiaries to the CCT program which revealed that the satisfaction level survey was higher in 2020 than in 2015 especially in terms of health grants and education grants. Lastly, it was recommended to provide sustainable programs that would enhance the living conditions and nutrition grants of locals.

An Empirical Study on the Precise Employment Situation-Oriented Analysis of Digital-Driven Talents with Big Data Analysis

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students’ employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder’s perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level.

Development and Validation of the Career Identity Development Inventory

The primary aims of this study were to address existing measurement concerns in the neo-Eriksonian identity literature and fill a gap in the vocational identity literature by developing and validating the Career Identity Development Inventory (CIDI). As the processes of identity formation and career development share close conceptual ties, we introduced an integrated conceptual model of career identity development from which CIDI was developed to be comprised of two subscales, CIDI-E and CIDI-C, that were each composed of four career identity dimensions. In Study 1, we delineated how CIDI was constructed and reported initial evidence of validity and reliability using a sample of 398 US college graduates. We further tested the psychometric properties of CIDI in Study 2 using confirmatory factor analyses with another sample of 419 US college graduates. Implications for using CIDI at the variable and person level, and future research directions are provided to further the understanding of the career identity development process.