scholarly journals Application of Fuzzy AHP-TOPSIS Method for Decision Making in Human Resource Manager Selection Process

2015 ◽  
Vol 72 ◽  
pp. 638-646 ◽  
Author(s):  
Renny Pradina Kusumawardani ◽  
Mayangsekar Agintiara
Keyword(s):  
Decision Making ◽  
Human Resource ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Topsis Method ◽  
Resource Manager ◽  
Human Resource Manager ◽  
Manager Selection

scholarly journals Human Resource Manager Selection Based on Logarithmic Fuzzy Preference Programming and TOPSIS Methods

2013 ◽  
Vol 3 (2) ◽  
pp. 14 ◽  
Author(s):  
Mohammad Reza Fathi ◽  
Seied Reza‎ Seied Javadin ◽  
Amirhesam Behrooz ◽  
Mohammad Reza Sadeghi
Keyword(s):  
Competitive Advantage ◽  
Human Resource ◽  
Decision Makers ◽  
Superior Performance ◽  
Resource Manager ◽  
Effective Utilization ◽  
Integrated Method ◽  
Human Resource Manager ◽  
Manager Selection ◽  
Fuzzy Preference

Today’s organizations must gain competitive advantage through the effective utilization of their human resources. Successful human resource management can contribute to superior performance as a source of competitive advantage by making organizations more effective. The purpose of this paper is applying a new integrated method to Human Resource Manager Selection. Proposed approach is based on Logarithmic fuzzy preference programming and TOPSIS methods. LFPP method is used in determining the weights of the criteria by decision makers and then selecting Human Resource Manager are determined by TOPSIS method. A real case demonstrates the application of the proposed method.

The Human Resource Manager in Spain

1995 ◽  
pp. 11-34 ◽  
Author(s):  
Santiago García Echevarría ◽  
Maria Teresa del Val Núñez
Keyword(s):  
Human Resource ◽  
Resource Manager ◽  
Human Resource Manager

An Improved TOPSIS Method for Material Selection Model

2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Material Science ◽  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Science Field

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

scholarly journals Contemporary Human Resource Manager Roles

2019 ◽  
Vol 51 (1) ◽  
pp. 23-32
Author(s):  
Jacek Kopeć
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Employee Engagement ◽  
Human Resource ◽  
Review Of The Literature ◽  
Resource Manager ◽  
Human Resource Manager ◽  
The Future ◽  
The Subject

The article presents the modern roles of the HR manager to meet the challenges of the future. The first part of the article presents the challenges in the field of human resource management towards the HR manager. The next part of the article presents a review of the literature on the subject regarding the classic roles of the HR manager. It was proposed to the HR manager in the future to perform the following roles in addition to the classical roles: master of employee engagement management, facilitator of skillful use of talents in the organization, digilizer of personnel processes and employee diversity, green HRM facilitator.

Supplier Selection using MADM Method Under Uncertainty

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Interval Data ◽  
Entropy Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Powerful Technique ◽  
Order Preference

In existing literature, there are several studies on supplier selection process, which opine that the suppliers information is usually incomplete and uncertain. Several methods have been proposed for solving this problem, one of which is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with interval data. There is no doubt that the TOPSIS with interval data method is a powerful technique in uncertain decision-making context. Despite its usefulness, it is logical that when data are imprecise, weight is imprecise too. To overcome this limit, the extended Shannons Entropy method with interval data is used. The main findings of this study confirm the effectiveness of the hybrid proposed models.

Tools and Techniques for Designing Effective Compensation Systems

2009 ◽  
pp. 842-848
Author(s):  
Adeniji Anthonia Adenike
Keyword(s):  
Human Resource ◽  
Resource Manager ◽  
Priority List ◽  
Human Resource Manager ◽  
Doing Business ◽  
Compensation Systems ◽  
Complex Functions ◽  
Essential Resource ◽  
And Performance ◽  
Tools And Techniques

Employees are the most essential resource of an organization. They are vital to a company’s success. Without them, it would seize to exist. Management will probably give employee compensation the first place in their priority list and rightly so. Because the importance that compensation holds for their lifestyle and self-esteem, individuals are very concerned that they be paid a fair and competitive wage. Organizations are concerned with pay not only because of its importance as a cost of doing business, but also because it motivates important decisions of employees about taking a job, leaving a job, and performance on the job. Hence, one of the most vital factors for attraction, motivation, and retention amongst the employees is the compensation system, policies, and review philosophies of any organization. Compensation as a function of human resource management that involves rewarding employees for performing organizational task is one of the most complex functions of the human resource manager. A lot of studies have shown the various components of compensation both for the executives and the employees, but no study has focused on the tools and techniques for designing and implementing effective compensation systems. Therefore, this article will look into these tools and techniques of effective compensation systems. To be able to do this effectively, we will look at the various definitions of compensation in the background to the study, the features of good compensation tools, the rationale for choosing effective compensation tools, and the various compensation tools we have—both intrinsic and extrinsic.

scholarly journals A TWO PHASED FUZZY METHODOLOGY FOR SELECTION AMONG MUNICIPAL PROJECTS

2015 ◽  
Vol 21 (3) ◽  
pp. 405-422 ◽  
Author(s):  
Mehmet Emin BAYSAL ◽  
İhsan KAYA ◽  
Cengiz KAHRAMAN ◽  
Ahmet SARUCAN ◽  
Orhan ENGIN
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Community Life ◽  
Topsis Method ◽  
Complex Processes ◽  
Central District ◽  
Selection Of

A municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.

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