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1 – 3 of 3Jianwei Deng, Xueting Hao and Tianan Yang
Based on affective events theory (AET), this study aims to construct a moderated sequential mediation model to explore the pathways of organizational climate on workplace conflict…
Abstract
Purpose
Based on affective events theory (AET), this study aims to construct a moderated sequential mediation model to explore the pathways of organizational climate on workplace conflict and subsequent counterproductive work behaviour (CWB).
Design/methodology/approach
This study collected data from 1,035 respondents in a large state-owned enterprise located in Beijing, China. And this study used Mplus 8.3 to test the model fit, then tested the eight hypotheses using Mplus 8.3 to verify the mediating effects of workplace conflict and psychological well-being and the moderating effect of emotional stability.
Findings
Results indicated that: organizational climate is more likely to produce individual-oriented CWB (CWB-I) under the mediating effect of workplace conflict and the chain mediation of workplace conflict and psychological well-being, and emotional stability moderates the relationship between workplace conflict and psychological well-being, workplace conflict and CWB-I, but it has no moderating effect on the relationship between workplace conflict and organizational-oriented CWB (CWB-O).
Originality/value
This study puts forward a relatively complete theoretical framework, expands the application scope of AET and sheds new light on the intervening process that explains how organizational climate influences CWB-I and CWB-O, which enriches the literature in the two fields.
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Zhiguang Li, Yaokuang Li and Dan Long
From the perspective of cause and effect, the operational processes of property insurance companies can be considered as historical events. The purpose of this study is to measure…
Abstract
Purpose
From the perspective of cause and effect, the operational processes of property insurance companies can be considered as historical events. The purpose of this study is to measure the operating efficiency of China's property insurance industry, explore the determinants that affect technical efficiency and outline the path to achieving high-quality development.
Design/methodology/approach
We chose 44 Chinese property insurance companies as research objects. The data were obtained from the Chinese Insurance Yearbook and China Statistical Yearbook 2015–2017. First, the data envelopment analysis (DEA) method was used to calculate the technical efficiency of property insurance companies. Then, Tobit regression and quantile regression were adopted to explore the influencing factors of technical efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to summarize the path to improving the operating efficiency of property insurance companies.
Findings
The empirical results in the first stage suggested that the operation efficiency of China's property insurance industry was technically inefficient, and the scale efficiency was relatively better than the pure technical efficiency. In the second stage, we observed that the drivers for firm size, reinsurance rate, claim ratio and equity restriction were important determinants of an insurance firm's efficiency.
Research limitations/implications
We also put forward four applicable, targeted and proven ways to improve the technical efficiency of property insurance companies. These configurations are verified by cases of existing property insurance companies, which can provide practical references for the insurance industry.
Originality/value
Our research enriches the insurance literature and efficiency methods, particularly regarding the specific paths of improving the technical efficiency. The relationship between elements and results is analyzed from a systematic perspective, and the research results are not only more consistent with what logic might imply but also more instructive for the improvement of reality.
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Zhi Li, Jiuchang Wei, Dora Vasileva Marinova and Jingjing Tian
This paper aims to explore the explanations of “information effect” and “agency effect” of corporate diversification with cross-industry knowledge under a crisis situation.
Abstract
Purpose
This paper aims to explore the explanations of “information effect” and “agency effect” of corporate diversification with cross-industry knowledge under a crisis situation.
Design/methodology/approach
Based on an event study of 203 public companies’ crises in China between 2008 and 2018, the authors verify the information and agency effects of corporate diversification under a crisis situation by, respectively, examining the effects of interactions of corporate unrelated diversification with corporate transparency and knowledge deficiency attribution on the stock market’s responses to the crises.
Findings
It is found that corporate unrelated diversification serves as a buffer in protecting firm value while attribution of knowledge deficiency can be a burden. The buffering effect is stronger when the corporate transparency is higher but weaker when the crisis is attributed to be caused by corporate tacit knowledge deficiency.
Practical implications
Unrelated diversified firms should strengthen information communication with stakeholders so as to break down the stakeholders’ cross-industry knowledge barriers, and thus protect their own value at the crisis’ onset. Also, they can further buffer the loss by reducing stakeholders’ perceptions of the corporate tacit knowledge deficiency revealed in the crisis.
Originality/value
This study is the first to illustrate that the information and agency effects of corporate diversification strategy can be partially explained under a crisis situation, which provides meaningful insights about how firms can conduct knowledge management in their daily operations to deal better with corporate crises.
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