Understanding Generational Differences in Work Values: Evidence from Faculty in Chinese Private Universities

Aims: This study examines the characteristics of work values among lectures from different generations in private universities and to explore the generational differences in these values. Additionally, it examines the characteristics of work values among employees of different genders, marital statuses, and levels of education. Study Design: A cross-sectional survey was conducted among faculty members from three private universities in Guangxi, China (N = 332). Place and Duration of Study: Three private universities in Guangxi, China; between September–December 2025. Methodology: A questionnaire survey was conducted among 332 lecturers from private universities to examine the characteristics of their work values and to explore generational differences in work values among teachers from different generations. Results: A total of 332 respondents were included in the analysis. ANOVA results indicated significant generational differences in two dimensions of work values. Specifically, the mean score for comfort and security increased from Generation X (M = 3.745, SD = 0.621) to Generation Y (M = 3.837, SD = 0.560) and Generation Z (M = 3.926, SD = 0.694) (F = 3.180, p = 0.043). Tukey post-hoc analysis showed that Generation Z scored significantly higher than Generation X (p = 0.050). For ability and growth, Generation Y reported the highest score (M = 3.866, SD = 0.839), followed by Generation Z (M = 3.781, SD = 0.838) and Generation X (M = 3.721, SD = 0.731) (F = 3.082, p = 0.047), with a significant difference between Generation X and Generation Y (p = 0.042). No significant generational difference was observed for status and independence (F = 0.403, p = 0.669). Conclusion: Generation Z reported the highest score in the comfort and security dimension, whereas Generation Y showed the highest score in ability and growth. For the status and independence dimension, Generation Z again recorded the highest mean score. Additionally, gender, marital status, and level of education significantly influence work values. These findings contribute to a deeper understanding of the work value orientations of faculty members from different generational cohorts and provide practical implications for administrators of private universities to formulate more targeted management strategies. However, as this study relies on cross-sectional data, it is unable to capture the dynamic changes in work values across Generation X, Generation Y, and Generation Z over time.

Authors

Institutions

Publication Details

Journal
Asian Research Journal of Arts & Social Sciences
Published
2026-03-31
DOI
https://doi.org/10.9734/arjass/2026/v24i4895
Primary Topic
Generational Differences and Trends
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Generational Differences in Work Values: Evidence from Faculty in Chinese Private Universities

Wenjun Wan, Wenyan Yao, Fengting Liu
Asian Research Journal of Arts & Social Sciences
Generational Differences and Trends
article

Understanding Generational Differences in Work Values: Evidence from Faculty in Chinese Private Universities

Wenjun Wan, Wenyan Yao, Fengting Liu
article en

Abstract

Aims: This study examines the characteristics of work values among lectures from different generations in private universities and to explore the generational differences in these values. Additionally, it examines the characteristics of work values among employees of different genders, marital statuses, and levels of education. Study Design: A cross-sectional survey was conducted among faculty members from three private universities in Guangxi, China (N = 332). Place and Duration of Study: Three private universities in Guangxi, China; between September–December 2025. Methodology: A questionnaire survey was conducted among 332 lecturers from private universities to examine the characteristics of their work values and to explore generational differences in work values among teachers from different generations. Results: A total of 332 respondents were included in the analysis. ANOVA results indicated significant generational differences in two dimensions of work values. Specifically, the mean score for comfort and security increased from Generation X (M = 3.745, SD = 0.621) to Generation Y (M = 3.837, SD = 0.560) and Generation Z (M = 3.926, SD = 0.694) (F = 3.180, p = 0.043). Tukey post-hoc analysis showed that Generation Z scored significantly higher than Generation X (p = 0.050). For ability and growth, Generation Y reported the highest score (M = 3.866, SD = 0.839), followed by Generation Z (M = 3.781, SD = 0.838) and Generation X (M = 3.721, SD = 0.731) (F = 3.082, p = 0.047), with a significant difference between Generation X and Generation Y (p = 0.042). No significant generational difference was observed for status and independence (F = 0.403, p = 0.669). Conclusion: Generation Z reported the highest score in the comfort and security dimension, whereas Generation Y showed the highest score in ability and growth. For the status and independence dimension, Generation Z again recorded the highest mean score. Additionally, gender, marital status, and level of education significantly influence work values. These findings contribute to a deeper understanding of the work value orientations of faculty members from different generational cohorts and provide practical implications for administrators of private universities to formulate more targeted management strategies. However, as this study relies on cross-sectional data, it is unable to capture the dynamic changes in work values across Generation X, Generation Y, and Generation Z over time.

Asian Research Journal of Arts & Social SciencesVol. 24(4)
Nanning Normal University (CN)
Gender equality
Openalex Percentile: Top 35%
Generational Differences and Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.