scholarly journals A MULTI-CRITERIA JOB EVALUATION METHOD FOR A STATE BANK

2015 ◽  
Vol 7 (2) ◽  
Author(s):  
Ezgi Aktar Demirtas ◽  
Yeliz Buruk ◽  
Müjgan Sağır
Keyword(s):  
Performance Management ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Evaluation Methodology ◽  
Relative Importance ◽  
Job Evaluation ◽  
Wage Policy ◽  
Network Process ◽  
Fair Wage

<p>Wage management is an important task which affects a firm’s productivity in the short term and the consistency of the firm’s activities in long term. If an organization fails to establish a fair wage policy among the personnel, conflict is inevitable in the organization. A fair wage policy can be achieved by job evaluation, which is a technique used to determine the relative importance of all jobs in an organization. Jobs are evaluated with respect to ability, responsibility, effort, and job condition factors etc. which make it a multi-criteria problem for organizations. In this study, a job evaluation methodology is developed for a state bank in Turkey. The relative importance of the evaluation criteria which is then used to grade jobs with respect to one another by a Liberatore scale is determined by an Analytic Network Process (ANP) model. This new methodology has a positive effect on competence and performance management systems.</p>

Analysis of the Critical Success Factors for Green Shipping

2015 ◽  
Author(s):  
Jingzheng Ren ◽  
Marie Lützen
Keyword(s):  
Success Factors ◽  
Evaluation Criteria ◽  
Influence Factors ◽  
Analytic Network Process ◽  
Influential Factors ◽  
Relative Importance ◽  
Critical Success ◽  
Strategic Measures ◽  
Network Process ◽  
Global Emissions

Shipping, which is one of the most important transport modes, plays a significant role in international trade, but unfortunately, it also contributes significantly to global emissions. The present study proposes a generic method for establishing a system of evaluation criteria for assessing the greenness of shipping. A system of evaluation criteria that consists of multiple influence factors has been established, and an Analytic Network Process has been used to determine the relative importance of the influential factors and to consider their interdependences and interactions. The results can help stakeholders draft strategic measures that enhance the greenness of the shipping activities.

scholarly journals Research on Optimization of VR Welding Course Development with ANP and Satisfaction Evaluation

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1673
Author(s):  
Chih-chao Chung ◽  
Chun-Chun Tung ◽  
Shi-Jer Lou
Keyword(s):  
First Grade ◽  
Analytic Network Process ◽  
Course Development ◽  
Relative Importance ◽  
Experimental Teaching ◽  
Fuzzy Delphi ◽  
Network Process ◽  
Satisfaction Evaluation ◽  
Group Interviews ◽  
Efficient Learning

The purpose of this study is to explore the ability indices of VR (virtual reality) technology when it is applied to assist the teaching of a welding practice course, develop a VR welding course as the basis of course planning and teaching design, and implement experimental teaching to verify its effectiveness. On the basis of a literature review and focus group interviews, initial ability indices of a VR welding course were proposed. Then, 15 experts from VR- and welding-related specialties were invited to form a consulting team to determine “the ability indices of the VR welding course” according to the results of a Fuzzy Delphi expert questionnaire. Moreover, the results of an ANP (Analytic Network Process) expert questionnaire were used to understand the relative importance of the ability indices of the VR welding course, as well as the relative feasibility of VR-assisted welding teaching, in order to develop a “VR welding course”, in which 34 first-grade students of the welding practice course were taken as the research objects during the implementation of experimental teaching. The qualitative research and analysis results are as follows: (1) the VR welding course includes 8 ability indices and 30 evaluation indices; (2) the item with the highest feasibility in VR-assisted welding teaching is “welding construction”, followed by “map reading and drawing”; (3) best feasibility of VR technology “Interaction” in assisting welding teaching; (4) the relative importance of the ability indices of the VR welding course is the greatest for “welding construction”, followed by “welding inspection”; (5) the VR welding course students express significant positive responses to the learning of ability indices and ability demonstration; (6) the majority of students express significant positive learning satisfaction with VR-assisted welding course teaching. This study puts forward a set of rigorous models for the construction of ability indices for a VR course and course development. It can provide a reference for introducing VR-assisted teaching to related welding courses that are run by universities of science and technology in Taiwan. Furthermore, such VR courses can offer students a safe, diversified, and efficient learning environment.

Proposing a Quantitative Model Towards Building Trust in B2C E-Commerce

2018 ◽  
Vol 9 (1) ◽  
pp. 36-53 ◽  
Author(s):  
Mahmoud Zamani ◽  
Changiz Valmohammadi
Keyword(s):  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Important Indicator ◽  
Building Trust ◽  
Proposed Model ◽  
Network Process ◽  
Interdependent Relationships ◽  
Novel Model ◽  
Fuzzy Analytic Network Process

This article aims to develop a novel model for ranking the parameters that influence the building of trust on online shopping in the context of Iran. A multi-criteria decision making (MCDM) model based on a fuzzy analytic network process (ANP) method is developed to systematically clarify the interdependent relationships among the evaluation criteria of trust and then, scientifically evaluate the feasible parameters and rank the priorities of the trust. The results of the proposed model reveal that under the characteristics of trustor (TR) sub-factors, the most important indicator which can affect the trust is propensity to trust. Furthermore, regarding the characteristics of trustee (TE) sub-factors, data quality with a priority of 0.064 is the most important indicator. Also, in the environmental factors (EN) sub-factors, promotions and advertising with a weight of 0.151 is the most significant indicator.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

scholarly journals Evaluating the Performance of Taiwan Homestay Using Analytic Network Process

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Yi-Chung Hu ◽  
Jen-Hung Wang ◽  
Ru-Yu Wang
Keyword(s):  
Service Quality ◽  
Business Performance ◽  
Fuzzy Theory ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Operational Model ◽  
Network Process ◽  
Key Aspects ◽  
Operation And Management

Homestay industry in Taiwan is not only thriving, but also its operation is moving gradually toward elaboration strategy and in a specialized-operation manner these years. Nevertheless, the evaluation frameworks of the earlier studies were sporadically constructed from an overall perspective of homestays. Moreover, the functions, operational model, and natures of homestays are dissimilar to those of hotels; therefore, if the evaluation criteria of homestays employ the ones of hotels, it would appear to be incoherent and incompatible. This study has accordingly developed and constructed a set of evaluation indicators tailor-made for homestay sector through discussion of literatures and interviewing experts so that the evaluation framework would be more comprehensive and more practical. In the process of interviewing experts, it was discovered that dependences lay on the aspects and criteria. Consequently, this research chose the ANP (analytic network process) to get the weights and, further, to acquire the homestay business performance through fuzzy theory. The result reveals, as regards key aspects, homestay proprietors and customer groups both weight the surroundings of the building and features, service quality, operation, and management most. In respect to overall homestay performance, customer groups consider it has reached the satisfactory level.

Assessment of supplier quality performance of computer manufacturing industry by using ANP and DEMATEL

2015 ◽  
Vol 27 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Hsiu Yuan Hu ◽  
Shao-I Chiu ◽  
Tieh-Min Yen ◽  
Ching-Chan Cheng
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Integrated Model ◽  
Performance Rating ◽  
Quality Performance ◽  
Content Type ◽  
Network Process ◽  
Relationship Of ◽  
The Impact

Purpose – The purpose of this paper is to establish an integrated model of Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assist enterprises to process supplier quality performance rating and comparison and find the core improvement direction to create the value of all supply chain members. Design/methodology/approach – This study used the integrated model to process supplier quality performance rating and comparison, which not only improved the order-winners and qualifiers and continued to increase supplier quality performance, but resolved the complex and difficult cause-effect relation issue to find out core improvement items. The cases of Taiwanese industrial computer manufacturers were used to describe the application and benefits of this methodology. Findings – The results recommended that the improvement item of supplier A shall focus on design and quality conformance. The recommended improvement item and order for supplier B is design, delivery reliability and delivery speed. This study established ANP and DEMATEL evaluation models, and expanded the application field in the supplier performance evaluation. Originality/value – The ANP model is used to calculate the importance of the evaluation criteria, and the DEMATEL method is introduced to consider the impact of the casual relationship of evaluation items and to adjust the importance of the evaluation item, and to solve the complex and difficult practical causation issue.

scholarly journals A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1597
Author(s):  
Chun-Ho Chen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Building Materials ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Topsis Method ◽  
Entropy Weight ◽  
Suitable Alternative ◽  
Multi Criteria Evaluation ◽  
Network Process

This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

scholarly journals A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256999
Author(s):  
Wafa’ H. AlAlaween ◽  
Abdallah H. AlAlawin ◽  
Mahdi Mahfouf ◽  
Omar H. Abdallah ◽  
‎Mohammad A. Shbool ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Analytic Network Process ◽  
Pairwise Comparisons ◽  
Competitive Advantages ◽  
Relative Importance ◽  
Network Process ◽  
New Framework

A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.

scholarly journals Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Manufacturing Companies ◽  
Green Performance ◽  
Network Process ◽  
Green Suppliers

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

scholarly journals AN INTEGRATED MODEL FOR EXTENDING BRAND BASED ON FUZZY ARAS AND ANP METHODS

2014 ◽  
Vol 15 (3) ◽  
pp. 403-423 ◽  
Author(s):  
Mahmoud Zamani ◽  
Arefeh Rabbani ◽  
Abdolreza Yazdani-Chamzini ◽  
Zenonas Turskis
Keyword(s):  
Perceived Risk ◽  
Evaluation Criteria ◽  
Brand Extension ◽  
Analytic Network Process ◽  
Design Quality ◽  
Parent Brand ◽  
Proposed Model ◽  
Network Process ◽  
Decision Making Model

Brand extension is one of the most popular strategies in marketing. This is due to the fact that consumers usually take into account the brand first because it indirectly reflects the design, quality, and functions. According to the significant role of brand in creating benefit and diminishing risk for a new product, this study intended to develop a novel model for selecting the most appropriate strategy in brand extension. However, there are a number of criteria influencing the possible strategies, and they often are interdependent. Therefore, a multi-criteria decision making model based on Analytic Network Process and Additive Ratio Assessment methods has been developed to systematically clarify the interdependent relationships among the evaluation criteria of brand extension and then, scientifically evaluate the feasible strategies and rank the priorities of brand extension strategies. The results of the proposed model show that “Production cost” is the most important factor, followed by “Quality of parent brand” and “Perceived risk” while “Ice cream” is the highest satisfaction of brand extension.

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