An Empirical Assessment Of The Determinants Of Bank Branch Manager Compensation

2011 ◽  
Vol 15 (4) ◽  
pp. 55
Author(s):  
Susan Stites-Doe ◽  
James J. Cordeiro
Keyword(s):  
United States ◽  
Human Capital ◽  
Performance Measures ◽  
Eastern United States ◽  
Bank Branch ◽  
Schooling Experience ◽  
And Performance ◽  
Using Data ◽  
Branch Size ◽  
Manager Compensation

A model of branch-management compensation based on human capital and performance measures is tested using data on managers from eighty-two branches of a large, Eastern United States bank. Human capital factors such as managerial rank, gender, years of schooling, experience in the industry, and age are found to explain branch manager pay levels, after controlling for competition, and branch size.

Determinants of Control System Design in Divisionalized Firms

2004 ◽  
Vol 79 (3) ◽  
pp. 545-570 ◽  
Author(s):  
Margaret A. Abernethy ◽  
Jan Bouwens ◽  
Laurence van Lent
Keyword(s):  
Control System ◽  
System Design ◽  
Performance Measures ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Control System Design ◽  
Information Asymmetries ◽  
Endogenous Variables ◽  
And Performance ◽  
Using Data

We investigate two determinants of two choices in the control system of divisionalized firms, namely decentralization and use of performance measures. The two determinants are those identified in the literature as important to control system design: (1) information asymmetries between corporate and divisional managers and (2) division interdependencies. We treat decentralization and performance measurement choices as endogenous variables and examine the interrelation among these choices using a simultaneous equation model. Using data from 78 divisions, our results indicate that decentralization is positively related to the level of information asymmetries and negatively to intrafirm interdependencies, while the use of performance measures is affected by the level of interdependencies among divisions within the firm, but not by information asymmetries. We find some evidence that decentralization choice and use of performance measures are complementary.

A Survey on Building Recommendation Systems Using Data Mining Techniques

2022 ◽  
pp. 24-56
Author(s):  
Rajab Ssemwogerere ◽  
Wamwoyo Faruk ◽  
Nambobi Mutwalibi
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Recommender Systems ◽  
Performance Measures ◽  
Data Mining Technique ◽  
Data Mining Techniques ◽  
Learning Hypothesis ◽  
Depth Study ◽  
And Performance ◽  
Using Data

Classification is a data mining technique or approach used to estimate the grouped membership of items on a basis of a common feature. This technique is virtuous for future planning and discovering new knowledge about a specific dataset. An in-depth study of previous pieces of literature implementing data mining techniques in the design of recommender systems was performed. This chapter provides a broad study of the way of designing recommender systems using various data mining classification techniques of machine learning and also exploiting their methodological decisions in four aspects, the recommendation approaches, data mining techniques, recommendation types, and performance measures. This study focused on some selected classification methods and can be so supportive for both the researchers and the students in the field of computer science and machine learning in strengthening their knowledge about the machine learning hypothesis and data mining.

DEA performance assessment of Greek listed metallurgical firms

2014 ◽  
Vol 9 (1) ◽  
pp. 58-77 ◽  
Author(s):  
Ioannis Tsolas
Keyword(s):  
Performance Measures ◽  
Design Methodology ◽  
Market Value ◽  
Two Dimensions ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Efficiency ◽  
Performance Dimensions ◽  
And Performance ◽  
Using Data

Purpose – This paper aims to assess two distinct aspects of performance in terms of technical (sales) efficiency and efficiency in market value generation of a sample of Greek metallurgical firms listed on the Athens Exchange by using data envelopment analysis (DEA). Design/methodology/approach – Both aspects of performance are measured by employing the DEA BCC model, combined with bootstrap and generalized proportional distance function (GPDF). Statistical analysis is performed to investigate whether there is a positive link between the two examined performance dimensions. Findings – Inefficiency is uncovered in both performance dimensions, but there is a lower level of performance in market value generation than in technical efficiency. Correlation analysis results do not point out positive links between performance measures for the sample firms. Research limitations/implications – The derived performance measures allow firm managers to set their own priorities and to seek out improvements along the two dimensions of performance; moreover, they may contribute to the reduction of information asymmetry among investors. Originality/value – This paper is one of a few that investigate the link between DEA-based sales performance and performance in market value generation. It contributes methodologically through the adoption of fundamental analysis principles in estimating efficiency in the two performance dimensions and the development of a DEA efficiency model in the presence of negative data.

scholarly journals Relationship between the importance of strategic resources and performance measures in brazilian companies

2016 ◽  
Vol 15 (1) ◽  
pp. 65-82
Author(s):  
Ilse Maria Beuren ◽  
Idair Edson Marcello
Keyword(s):  
Human Capital ◽  
Performance Evaluation ◽  
Performance Measures ◽  
North American ◽  
Physical Capital ◽  
Descriptive Statistics ◽  
Attribute Importance ◽  
Strategic Resources ◽  
Mediating Variables ◽  
And Performance

The goal of the study is to verify whether the performance measures are mediating variables between the importance of strategic resources and performance evaluation in Brazilian companies. Specifically, the study investigates the perceptions of managers regarding the importance of traditional and nontraditional performance measures and human capital, structural and physical strategic resources in Brazilian companies. In the study is replicated the research conducted by Widener (2006) in North American companies. Thus, a survey was conducted with the managers of the companies listed in BMFBovespa at levels 1 and 2 of Corporate Governance. Descriptive statistics and factor analysis were applied in data analysis. The results show that managers attribute importance to various performance measures, but the descriptive statistics shows that the greatest importance is attributed to traditional return and financial measures. Among the strategic resources, human capital stands as the most important resource for companies analyzed, followed by structural capital and physical capital. From the relations established in the research, it is concluded that the performance measures are mediating variables between the importance of strategic resources and performance evaluation, in the perception of managers, which is consistent with the search results of Widener (2006) in North American companies.

scholarly journals Analisis Daya Saing Ekspor Komoditi Kopi (Hs 090111) Indonesia Di Pasar Amerika Serikat : Pendekatan RSCA dan CMS

2021 ◽  
Vol 6 (3) ◽  
pp. 83
Author(s):  
Nurul Fatimah ◽  
Ignatia Martha H ◽  
Kiki Asmara
Keyword(s):  
United States ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
The United States ◽  
Series Data ◽  
Competitive Edge ◽  
Constant Market Share ◽  
And Performance ◽  
Using Data

Indonesia is one of the largest coffee exporting countries in the United States market after Brazil, Colombia, Vietnam, and Guatemala. It is still unable to shift the export of coffee commodities from these four countries. This research aims to analyze the competitiveness and performance of coffee exports in the United States market using data analysis methods such as Revealed Symmetric Comparative Advantage (RSCA) and Constant Market Share (CMS). Research is classified as quantitative research that utilizes secondary data, an annual time series data, namely 2010-2019. The data source is exported data for Indonesian coffee commodity digit 6 with HS 090111 (Coffee, not roasted, not decaffeinated) obtained from the International Trade Center (ITC). This study's value results indicate that RSCA Indonesia is 0.87, where the RSCA is> 0. This shows that Indonesia still has competitiveness, although it is lower than Brazil0.95, Colombia, 0.96, and Guatemala, 0.97, and Indonesia is still superior to Vietnam, which is equivalent. 0.79. Meanwhile, the CMS value states that the Indonesian coffee commodity is less desirable in the United States market with an average commodity composition effect value of -0.00006. However, an increase in demand for Indonesian coffee commodities with an average market distribution effect value of 0.00002 and commodity Indonesian coffee has a competitive edge. Strong in the US market with an average competitiveness affect rating of 0.00001.

scholarly journals THE IMPACT OF INTELLECTUAL CAPITAL ON FIRM PERFORMANCE IN MALAYSIA

2019 ◽  
Vol 2 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Ahmad Ibn Ibrahimy ◽  
Karthyainee Raman
Keyword(s):  
Human Capital ◽  
Firm Performance ◽  
Intellectual Capital ◽  
Return On Assets ◽  
Structural Capital ◽  
Capital Efficiency ◽  
And Performance ◽  
Using Data ◽  
The Impact ◽  
The Relationship

The purpose of this study is to investigate the relationship between intellectual capital and performance of the companies listed in Bursa Malaysia. Using data drawn from 35 companies listed in Bursa Malaysia for the period of 2008 to 2017, regression model is constructed to examine the relationship between the components of intellectual capital, which are Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE) and Capital Employed Efficiency (CEE), and the performance of the companies measured using the variable Return on Assets (ROA). Data collected are analyzed using statistical software EViews and the outcome has been interpreted according to the statistical rule. As a result, the overall outcome can be concluded that Structural Capital Efficiency (SCE) and Capital Employed Efficiency (CEE) indicate positive relationship for influencing the performance of the companies listed in Bursa Malaysia. Additionally, Human Capital Efficiency (HCE) shows a negatively weak relationship with firm performance.

scholarly journals Research on the Performance of Human Capital at Different Organizational Levels of Pharmaceutical Corporations: Moderation of Informal Relational Capital

2021 ◽  
Vol 18 (15) ◽  
pp. 7852
Author(s):  
Shenglei Pi ◽  
Kuei-Feng Chang ◽  
I-Tung Shih
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Positive Impact ◽  
Relational Capital ◽  
Upper Echelons Theory ◽  
Pharmaceutical Industries ◽  
Knowledge Intensive ◽  
And Performance ◽  
Using Data ◽  
Different Levels

As intellectual capital is considered an important strategic resource in knowledge-intensive industries, such as the health and pharmaceutical industries, scholars have developed a deeper understanding of the human capital at different levels of organizations and its interaction with relational capital from informal institutional stakeholders. This study focused on the role of human capital at different levels of pharmaceutical corporations and the orchestration of human capital at different levels with informal relational capital. By using data regarding Chinese pharmaceutical listed companies from 2001 to 2017, this study found that (1) human capital at the employee level exerted an inverted U-shaped effect on a pharmaceutical firm’s performance, which was negatively moderated by informal institutional relational capital, and (2) based on the upper echelons theory, human capital at the executive level had a monotonic positive impact on a pharmaceutical firm’s performance but was negatively moderated by informal relational capital. We found two arrangements that facilitate the orchestration of intellectual capital components to gain optimal distinctiveness and performance.

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