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The Social Identity Approach to Effective Leadership: An Overview and Some Ideas on Cross-Cultural Generalizability
Rolf van Dick,Rudolf Kerschreiter
Front. Bus. Res. China. 2016, 10 (3): 363-384.
https://doi.org/10.3868/s070-005-016-0013-3
When employees identify with the groups and organizations they work for, this typically has positive implications for work-related attitudes and behaviors. The present paper provides a focused overview of the social identity approach to leadership and some ideas on its cross-cultural generalizability. To this end, we will first outline the basic tenets of the social identity approach and summarize the relations of organizational identification with work-related variables. Then, we will discuss the role of social identity-related concepts for effective leadership. In particular, we will present empirical studies on the following three aspects: (1) the transfer of leader identification onto their followers, (2) the role of leader prototypicality, and (3) the ways for leaders to actively manage the identities of the groups they lead. Finally, we will provide some suggestions on how to implement the principles of identity management into practice and offer suggestions for future research, with a special focus on China.
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Regime Dependent Sensitivity of Country Exchange Traded Funds to Common Risk Factors
Jun Yuan,Leonard MacLean,Kuan Xu,Yonggan Zhao
Front. Bus. Res. China. 2016, 10 (3): 385-431.
https://doi.org/10.3868/s070-005-016-0014-0
If common factors jointly affect country stock markets, it is an indication of global stock market integration. Common factors may affect some markets more/less than other markets, an indication of the degree of global stock market integration/ segmentation. In this paper, we study the integration of global stock markets based on the returns on exchange traded funds (ETFs) for the US, Canada, UK, Germany, France, Italy, Australia and Japan. The relationship between country ETF returns and common risk factors may be time-varying across countries, and that favors a regime switching (RS) factor model for the dynamics of the country ETF returns. A RS factor model for the relationship between country ETF returns and common risk factors is fitted to daily data for the period from May 31, 2000 to March 31, 2014. We use the data to test a hierarchy of hypotheses on country ETF returns: (1) common factor exposure across all country ETFs and all regimes; (2) common factor exposure across some country ETFs and all regimes, and (3) common factor exposure across some country ETFs and some regimes. The RS factor model for ETF returns fits the data well and the common factors have variable effects across countries and over regimes.
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Does Mood Affect the Efficiency of Credit Approval? Evidence from Online Peer-to-Peer Lending
Yan Li,Sisi Sheng
Front. Bus. Res. China. 2016, 10 (3): 470-506.
https://doi.org/10.3868/s070-005-016-0017-1
Using a large dataset obtained from “Paipaidai,” an online peer-to-peer lending platform in China, we examine whether credit officers’ mood affects the efficiency of credit approval from a perspective of individual decision-making. Refering to studies in psychology and financial economics, we employ season, temperature and weather as mood proxies, and control the variables related to the quality of the loan to study credit approval behavior under different mood conditions. The results suggest that the efficiency of credit approval by individual credit officers is significantly correlated with their mood—a positive mood improves efficiency, while a negative mood reduces it. Specifically, loans examined under better mood conditions (e.g., during spring, comfortable temperatures, and sunny days) have a significantly higher probability of approval, but a lower probability of default if approved; and those examined under poorer mood conditions show a lower probability of approval and a higher probability of default if approved. This effect of mood is even stronger when a loan application is more complex, atypical, or unusual to evaluate. Moreover, investor sentiment, denoted by closed-end fund premiums, has the same effect on credit approval as well.
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6 articles
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