This paper examines how advisors perceive the voices made by Mr.A(pseudonym),the founder of after-school support for children(Initiative Z:pseudonym)in Japan,to advisors who support children.Furthermore,the purpose of...This paper examines how advisors perceive the voices made by Mr.A(pseudonym),the founder of after-school support for children(Initiative Z:pseudonym)in Japan,to advisors who support children.Furthermore,the purpose of this study is to find out how advisors think about the voices and that the voices have led or not advisors to support children,if to do so,what points are key to continuing support for children.Therefore,in Initiative Z,I conducted a survey of two advisors who were approached by Mr.A,who is involved in supporting children as an advisor.As a result of analyzing the narratives obtained from interviews with the two advisors,it was found that the advisor had a sense of being recognized by Mr.A because Mr.A acknowledged the advisor’s way of life.This feeling on the part of the advisor led to trust in Mr.A,and the advisor was in tune with Mr.A’s thoughts on after-school support,suggesting that the advisor was providing support to the child.展开更多
As independent financial advisors, securities firms are the core intermediaries in major asset reorganization(MAR) of listed companies.Furthermore, they play the dual roles of transaction and authentication.Based on t...As independent financial advisors, securities firms are the core intermediaries in major asset reorganization(MAR) of listed companies.Furthermore, they play the dual roles of transaction and authentication.Based on this institutional background, this paper studies how listed companies choose between industry experience(‘‘meritocracy') and relationships(‘‘nepotism').Using the MAR of A-share listed companies from 2008 to 2013 as the sample, this paper shows that higher transaction costs(i.e., greater demand for the transaction function of advisors) are related to the higher possibility of advisors with weaker relationships and more industry experience being hired.It also shows that higher suspicion of tunneling(i.e., greater demand for the signal of fairness associated with advisors’ authentication function) is related to the higher possibility of advisors with weaker relationships being hired, but it is not significantly related to whether advisors have more or less industry experience.This paper also shows that reputation has a certain governance effect on the negative consequences of relationship.For the most part, listed companies reward meritocracy but not nepotism when appointing independent financial advisors.展开更多
Women political advisors, from sector of women's federations, and who attended the seco nd session of the 1 3th National Committee of the Chinese People's Political Consultative Conference (CPPCC), were invite...Women political advisors, from sector of women's federations, and who attended the seco nd session of the 1 3th National Committee of the Chinese People's Political Consultative Conference (CPPCC), were invited to visit the office of the All-China Women's Federation (ACWF) on March 2 to discuss ways to promote the development of women and children.展开更多
Intelligent Financial Advisors(IFAs)in online financial applications(apps)have brought new life to personal investment by providing appropriate and high-quality portfolios for users.In real-world scenarios,identifying...Intelligent Financial Advisors(IFAs)in online financial applications(apps)have brought new life to personal investment by providing appropriate and high-quality portfolios for users.In real-world scenarios,identifying potential clients is a crucial issue for IFAs,i.e.,identifying users who are willing to purchase the portfolios.Thus,extracting useful information from various characteristics of users and further predicting their purchase inclination are urgent.However,two critical problems encountered in real practice make this prediction task challenging,i.e.,sample selection bias and data sparsity.In this study,we formalize a potential conversion relationship,i.e.,user→activated user→client and decompose this relationship into three related tasks.Then,we propose a Multitask Feature Extraction Model(MFEM),which can leverage useful information contained in these related tasks and learn them jointly,thereby solving the two problems simultaneously.In addition,we design a two-stage feature selection algorithm to select highly relevant user features efficiently and accurately from an incredibly huge number of user feature fields.Finally,we conduct extensive experiments on a real-world dataset provided by a famous fintech bank.Experimental results clearly demonstrate the effectiveness of MFEM.展开更多
基金This research is a revised version of the free research presentation at the 42nd Annual Conference of the Japan Society for Lifelong Education,“Prospects for the Role of Advisors in After-School Support for Children”.We would like to express my deepest gratitude to everyone who cooperated with this research.
文摘This paper examines how advisors perceive the voices made by Mr.A(pseudonym),the founder of after-school support for children(Initiative Z:pseudonym)in Japan,to advisors who support children.Furthermore,the purpose of this study is to find out how advisors think about the voices and that the voices have led or not advisors to support children,if to do so,what points are key to continuing support for children.Therefore,in Initiative Z,I conducted a survey of two advisors who were approached by Mr.A,who is involved in supporting children as an advisor.As a result of analyzing the narratives obtained from interviews with the two advisors,it was found that the advisor had a sense of being recognized by Mr.A because Mr.A acknowledged the advisor’s way of life.This feeling on the part of the advisor led to trust in Mr.A,and the advisor was in tune with Mr.A’s thoughts on after-school support,suggesting that the advisor was providing support to the child.
基金the financial support of the National Natural Science Foundation of China (Nos.71802095, 71672204, 71702038)Cen Wu’s China Postdoctoral Science Foundation Grant (No.2018M640888)
文摘As independent financial advisors, securities firms are the core intermediaries in major asset reorganization(MAR) of listed companies.Furthermore, they play the dual roles of transaction and authentication.Based on this institutional background, this paper studies how listed companies choose between industry experience(‘‘meritocracy') and relationships(‘‘nepotism').Using the MAR of A-share listed companies from 2008 to 2013 as the sample, this paper shows that higher transaction costs(i.e., greater demand for the transaction function of advisors) are related to the higher possibility of advisors with weaker relationships and more industry experience being hired.It also shows that higher suspicion of tunneling(i.e., greater demand for the signal of fairness associated with advisors’ authentication function) is related to the higher possibility of advisors with weaker relationships being hired, but it is not significantly related to whether advisors have more or less industry experience.This paper also shows that reputation has a certain governance effect on the negative consequences of relationship.For the most part, listed companies reward meritocracy but not nepotism when appointing independent financial advisors.
文摘Women political advisors, from sector of women's federations, and who attended the seco nd session of the 1 3th National Committee of the Chinese People's Political Consultative Conference (CPPCC), were invited to visit the office of the All-China Women's Federation (ACWF) on March 2 to discuss ways to promote the development of women and children.
基金partially supported by the National Key Research and Development Program of China(No.2018YFC0832101)the National Natural Science Foundation of China(Nos.71802068,61922073,and U20A20229)+1 种基金the financial supports of Tianjin University(No.2020XSC-0019)the support of USTC-CMB Joint Laboratory of Artificial Intelligence
文摘Intelligent Financial Advisors(IFAs)in online financial applications(apps)have brought new life to personal investment by providing appropriate and high-quality portfolios for users.In real-world scenarios,identifying potential clients is a crucial issue for IFAs,i.e.,identifying users who are willing to purchase the portfolios.Thus,extracting useful information from various characteristics of users and further predicting their purchase inclination are urgent.However,two critical problems encountered in real practice make this prediction task challenging,i.e.,sample selection bias and data sparsity.In this study,we formalize a potential conversion relationship,i.e.,user→activated user→client and decompose this relationship into three related tasks.Then,we propose a Multitask Feature Extraction Model(MFEM),which can leverage useful information contained in these related tasks and learn them jointly,thereby solving the two problems simultaneously.In addition,we design a two-stage feature selection algorithm to select highly relevant user features efficiently and accurately from an incredibly huge number of user feature fields.Finally,we conduct extensive experiments on a real-world dataset provided by a famous fintech bank.Experimental results clearly demonstrate the effectiveness of MFEM.
