Peer-Reviewed Journal Articles

The attitudes of frontline bureaucrats play a crucial role in the implementation of administrative restructuring. Administrative integration is a type of administrative reform that can fundamentally change the structure of a local administrative system and may face opposition from local public bureaucracies. Successful administrative integration requires reformers to comprehensively grasp the factors that influence frontline bureaucrats’ attitudes toward this unique form of administrative restructuring. This study empirically examines how organizational configurations shape bureaucratic attitudes toward administrative integration. The findings have both theoretical and practical implications for research on bureaucratic attitudes, organizational configurations, and administrative integration.

Research in public administration examining the effects of diversity on public organizational performance has produced mixed results. However, the lack of a comprehensive theoretical framework has failed to provide an explanation for the mixed diversity effects. This study introduces a systematic analytical model, Categorization-Elaboration Model (CEM), to help identify the contextual constructs which can promote the positive effects of diversity on public organizational performance. A meta-analysis is conducted on 37 quantitative studies to test the empirical validity of a CEM constructed theoretical model with 253 effect sizes which will promote a better understanding of the circumstances or contexts that lead to the benefits of diversity within public sector organizations. The empirical results of meta-regression point to the appropriate range of contextual factors which can alleviate the potential negative effects of diversity and promote its overall positive effects.

This meta-analysis closely examines the conditions under which bureaucratic representation affects public organizational performance. The research provides evidence on the relationship between different constructs of representative bureaucracy and organizational performance. This meta-analysis overall advances the theory of representative bureaucracy from several perspectives. It shows that the effects of representative bureaucracy on public organizational performance are positive in general, but that these effects are moderated by several contextual actors. And our finding that the effects of bureaucratic representation on public organizational performance was shaped by demographics and types of representation, levels of bureaucracy, and performance measurements adds to the micro-theory behind individual bureaucratic actions.

There has been a good deal of research on the role of nongovernmental organizations in addressing public concerns and issues. However, alumni networks, mainly regarded as a platform for ingroup benefits between alumni and their alma maters, have attracted little attention in terms of their potential utility to the broader public. But the unexpected vital role of alumni networks in addressing the recent novel coronavirus (COVID-19) in China provides some insights into the value of alumni networks in both the practice and theory of public administration. Along with the successful practice in China, this essay attempts to understand how alumni networks can be used to assist in shared struggles in general, helping to solve major public challenges in practice in contexts beyond China, and to extend the understanding of alumni networks as potential areas of study through existing theoretical frameworks in public administration (e.g., collaborative governance and nonprofit organizations). The essay also provides directions for a future research agenda on the value of alumni networks for public administration.

The growth of East-Asian scholars in the American public affairs and administration (PA) field is increasingly apparent in recent years. Their participation demonstrates the diversity of the academic community and the globalization of higher education. However, little attention has been paid in the literature to this minority. From the broader perspective, Asian minorities have been overlooked in the discourse on diversity, equity, and inclusion, although they certainly confront social challenges such as inequity, injustice, discrimination, xenophobia, and even hate crimes. Our research attempts to address this gap in the literature by objectively documenting the participation and contributions of East-Asian scholars (EASs) to the American PA field. We find that across the top 100 PA schools, approximately 5% of the total full-time faculty members are East-Asian scholars, and that almost 20% of the peer-reviewed articles published in the top 10 PA journals are contributed by that scholarly community. However, the representation of East-Asian scholars in journal and association leadership teams remains low, which does not rise to their level of their contributions via peer-reviewed journal articles.

Other Academic Publications

Conference Presentation

The Role of Race, Gender and Policy Attributes in Citizens’ Trust, Engagement and Coproduction in Governance

Policy Roles of Leadership in an Interdisciplinary Lens

How Diversity Affects Public Organizational Performance: A Meta-Analysis

How Diversity Affects Public Organizational Performance: A Meta-Analysis

Workforce Diversity In Public Organizations: How to Make Good Use of It for Public Service?

Contributions of East-Asian Scholars to American Public Administration

How Diversity Affects Public Organizational Performance: A Meta-Analysis

Teaching

  • 2022 Spring Instructor, E-Governance and Digital Services 20:834:517:01 [Syllabus] [Teaching Evaluation]
  • 2021 Fall Instructor, Introduction to Public Administration 40:834:200:90 [Syllabus] [Teaching Evaluation]
  • 2021 Spring Teaching Assistant, Economics in Public Administration 20:834:541:02 (Instructor: Prof. Pengju Zhang)
  • 2021 Spring Teaching Assistant, Economics in Public Administration 20:834:541:01 (Instructor: Prof. Pengju Zhang)
  • 2020 Fall Teaching Assistant, Economics in Public Administration 20:834:541:90 (Instructor: Prof. Pengju Zhang)
  • 2019 Fall Teaching Assistant, Applied Statistics 20199:834:561:03 (Instructor: Prof. Jongmin Shon)