Do boards know when they hire a CEO that is a good match? Evidence from initial compensation

Allgood, Sam; Farrell, Kathleen A.; Kamal, Rashiqa

doi:10.1016/j.jcorpfin.2012.06.010

Cited by 11 publications

(4 citation statements)

References 27 publications

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“…The diversity of experience, qualifications, and expertise of CEOs can lead to different levels of compensation. There is a positive relationship between CEO tenure and pay (Hill and Phan 1991;Allgood et al 2012). Wade et al (2006), certified CEOs are only paid higher salaries when the company's performance is good.…”

Section: Bod and Remunerationmentioning

confidence: 99%

The Board of Directors Characters and Corporate Performance

Ho Thi,

Thi Ngoc

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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To get a holistic view of the board of directors' characteristics as well as the influence of these characteristics on firm performance in financial and accounting studies. By using a systematic review, the results show that (1) most of the studies use the representative theory; (2) studies on the key characteristics of BOD are still limited, mainly focusing on corporate and board-level issues rather than organizational and individual-level issues; (3) the current studies are methodologically limited (inconsistent definitions and measures, insufficient variables, and repetitive quantitative research methods).

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Section: Bod and Remunerationmentioning

confidence: 99%

The Board of Directors Characters and Corporate Performance

Ho Thi,

Thi Ngoc

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…There are plenty of two-sided matching problems in many fields of real life, such as marriage assignment [1][2][3][4], college admission [5][6][7][8], employee selection [9][10][11][12], and CEOs to companies [13,14], Therefore two-sided matching is a research topic with extensive application backgrounds.…”

Section: Introductionmentioning

confidence: 99%

Two-sided Matching Decision with Two-granularity Uncertain and Incomplete Linguistic Terms

Yue¹

2015

IJMUE

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With respect to the two-sided matching problem, where the agents' preferences are in the format of two-granularity uncertain and incomplete linguistic terms, a matching method is presented. Some definitions on uncertain linguistic term and 2-tuple are firstly given. The two-sided matching problem with two-granularity uncertain and incomplete linguistic terms is described. Then, uncertain and incomplete linguistic term matrixes are transformed into 2tuple matrixes. Furthermore, a multi-objective optimization model is developed by using the extended 2-tuple weighted average. By using the 2-tuple arithmetic mean, the normalization method and the linear weighted method, the multi-objective optimization model can be converted into a single-objective optimization model. By solving the optimization model, the matching alternative can be obtained. A matching example illustrates the feasibility and effectiveness of this method.

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“…The two-sided matching problems widely exist in the real world. Examples contain the stable marriage problem [1][2][3][4], the CEOs selection problem [5][6][7][8], the college admission problem [9][10][11][12], the employee selection problem [13][14][15], and the personnel assignment problem [16][17][18]. Since the reasonable and effective matching alternative has a promoting effect for improving the efficiency of economic management activities and the satisfaction degrees of two-sided agents, studying on the two-sided matching problems has important theoretical significance and practical application value.…”

Section: Introductionmentioning

confidence: 99%

Two-sided Matching Decision under Uncertain Score Environment

Yue¹

2014

IJMUE

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In order to solve the two-sided matching problem based on uncertain score information, a new method is presented. Firstly, the description of the two-sided matching problem with uncertain scores is given. Secondly, the satisfaction degrees of each agent towards the agents on the other side are calculated. A multi-objective optimization model to maximize the satisfaction degrees of agents is set up. Considering the important degree of each agent in each side, the multi-objective optimization model is transformed into a bi-objective optimization model. Furthermore, the bi-objective optimization model is transformed into a single-objective model by using the linear weighted method. The matching alternative can be determined by solving the single-objective model. Lastly, an example is given to illustrate the validity of the proposed method.

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Do boards know when they hire a CEO that is a good match? Evidence from initial compensation

Cited by 11 publications

References 27 publications

The Board of Directors Characters and Corporate Performance

The Board of Directors Characters and Corporate Performance

Two-sided Matching Decision with Two-granularity Uncertain and Incomplete Linguistic Terms

Two-sided Matching Decision under Uncertain Score Environment

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