Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 1st May 2025, 10:21:05pm EEST

 
 
Session Overview
Session
PhD Track B-4: Public Management and Digital Transformation
Time:
Tuesday, 03/Sept/2024:
3:45pm - 5:15pm

Session Chair: Prof. Vassilis KEFIS, Panteion University
Location: Room A2

80, First floor, New Building, Syggrou 136, 17671, Kallithea, Athens.

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Presentations

“Making My Boss Happy Makes Me Happy”: Brown-Nosing in Taiwanese Public Organizations

Qinrou Zhou

Nanyang Technological University, Singapore

Discussant: Brecht WEERHEIJM (Leiden University)

Ideal bureaucracy, rooted in Max Weber’s principles, prioritizes impersonality for technical efficiency. However, navigating interpersonal dynamics challenges this ideal, especially in Confucian societies with high power distance. Most individuals in Confucian societies tend to devote extraordinary efforts to praising or brown-nosing their supervisors, to gain favour with them (e.g., a promotion or pay raise), often referred to as Pai Ma Pi. This study investigates the influence of this social norm on public employees’ job satisfaction, using a representative sample of 1,300 responses from the Taiwanese government. Our findings indicate that public employees who deem brown-nosing an important factor in career success tend to report lower levels of job satisfaction. However, those who put greater effort into brown-nosing behaviour report a higher level of job satisfaction. To better understand these findings, we also explore the role of public service motivation (PSM) as a moderator in the relationship between brown-nosing and job satisfaction. This study provides new insights into how Chinese social norms shape individual attitudes and behaviours in the public sector. Preliminary challenges include Likert-scale limitations, potentially addressed through qualitative interviews.



 
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