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Chinese Local Governments’ Behavioral Logic of Early-Warning Information Release Regarding Major Epidemic Outbreaks from the Organizational Analysis Perspective
Author(s) -
Xinling DAI,
AUTHOR_ID,
Xiaobing PENG,
Jinglei WANG,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
transylvanian review of administrative sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.203
H-Index - 16
eISSN - 2247-8310
pISSN - 1842-2845
DOI - 10.24193/tras.si2021.1
Subject(s) - incentive , organizational behavior management , organizational performance , perspective (graphical) , organizational commitment , business , local government , organizational analysis , corporate governance , field (mathematics) , organizational learning , institutional logic , knowledge management , organizational studies , organizational behavior and human resources , political science , public relations , computer science , economics , sociology , public administration , microeconomics , artificial intelligence , finance , mathematics , pure mathematics , anthropology
Based on the three-dimensional ‘organizational goal – organizational field – organizational incen­tive’ analysis framework, this paper attempts to conduct a comparative and diachronic analysis of the behavioral logic of Chinese local governments’ early-warning information release in major epidemic outbreaks. The results of the research show that the organizational goal, field and incentive are highly rel­evant to different strategic choices of whether local governments should, will and are willing to perform their governance function; additionally, different combinations of these elements trigger different lo­cal government behaviors. The organizational goal, field and incentive are the starting point, turning point, and end point of local governments’ behavior­al logic, respectively, while the organizational field is prerequisite for the organizational incentive to work. The organizational goal – organizational field – organizational incentive sequence reflects the se­quence and interactive relationship of local govern­ments’ behavioral logic.

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