Employee Profile

Haien Ding

PhD Candidate - Department of Leadership and Organizational Behaviour


Haien Ding is a Ph.D. candidate at the Department of Leadership and Organizational Behaviour, BI Norwegian Business School. In his Ph.D. research project, he is committed to exploring the antecedents, outcomes, and boundary conditions of illegitimate tasks to promote the thriving and flourishing of employees. His research interests include work stress, motivation, well-being, innovation, advanced regression analysis techniques, configurational comparative methods (e.g., qualitative comparative analysis), necessary condition analysis, and open science.


Ding, Haien & Kuvaas, Bård (2022)

Illegitimate tasks: A systematic literature review and agenda for future research

Work & Stress, s. 1- 24. Doi: 10.1080/02678373.2022.2148308 - Full text in research archive

Although expecting to undertake core tasks affirming their professional identity, employees often have to deal with tasks they perceive as unnecessary or unreasonable. The concept of illegitimate tasks captures this phenomenon and has attracted growing attention since its first appearance. Illegitimate tasks have been found to explain unique variance in well-being and strain. Given a burgeoning body of literature, a systematic narrative review of illegitimate tasks is warranted. This review summarises research regarding illegitimate tasks’ antecedents (leadership, workplace characteristics, individual characteristics, and job characteristics) and outcomes (emotions, work attitudes and cognition, work behaviour, health and well-being, and interpersonal relationships). In addition, we review work done to date regarding the moderators and mediators of these relationships. Finally, we offer future directions for research.

Ding, Haien (2022)

What kinds of countries have better innovation performance?–A country-level fsQCA and NCA study

Journal of Innovation & Knowledge (JIK), 7(4) Doi: 10.1016/j.jik.2022.100215 - Full text in research archive

Innovation is critical to boosting economic growth and combating social problems. Based on national innovation systems, this study investigates how combinations of multiple factors (i.e., R&D investment, human capital, social freedom, democracy, globalization, and country affluence) lead to high national innovation performance. This study adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore multiple conjunctural causations of innovation performance using a multi-source dataset of 116 countries. It identifies two configurations for high innovation performance: leveraging human capital and leveraging R&D investment. It also adopts a necessary condition analysis (NCA) to examine the necessary relationships between every condition and the outcome. NCA finds that R&D investment, globalization, and country affluence are necessary conditions for innovation performance, although they have different degrees of importance. This study advances the knowledge on national innovation performance and demonstrates how NCA can add complementary insights to the findings of fsQCA.

Academic Degrees
Year Academic Department Degree
NA East China Normal University Master of Science
Work Experience
Year Employer Job Title
2021 - Present BI Norwegian Business School Ph.D. candidate