scholarly journals Evaluating the Electronic Service Quality of E-Shops Using AHP-TOPSIS

2022 ◽  
Vol 20 (1) ◽  
pp. 0-0
Keyword(s):  
Service Quality ◽  
Credit Card ◽  
Quality Data ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
System Availability ◽  
Electronic Service ◽  
Hierarchy Process

The purpose of this study is to evaluate and rank the e-shops of the top Greek coffee-chains, based on their electronic service quality. Data were collected from experts during the first COVID-19 lockdown. Based on the E-S-QUAL model, we applied a 12-step multi-criteria decision-making methodology utilizing analytic hierarchy process (AHP), and technique for order performance by similarity to ideal solution (TOPSIS). The results indicate that system availability and fulfillment are the two most crucial dimensions of the model. Protection of credit card information, webpages that do not freeze during the ordering process, delivery of the ordered items, and truthfulness about products and services offered by the e-shop are considered the most important sub-dimensions. Our findings can aid managers and practitioners focus on the most important service quality elements when developing e-commerce websites. Furthermore, our study’s results highlight the positive and negative areas of performance of the e-shops under evaluation.

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

scholarly journals Fusion of BWM and AHP MCDM Methods to Choose the Most Suitable Secondary School for an Individual in the Context of Bangladesh

2019 ◽  
Vol 06 (03) ◽  
pp. 311-328
Author(s):  
N. S. M. Rezaur Rahman ◽  
Md. Abdul Ahad Chowdhury ◽  
Adnan Firoze ◽  
Rashedur M. Rahman
Keyword(s):  
Decision Making ◽  
Secondary School ◽  
Pairwise Comparison ◽  
User Preferences ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Final Score ◽  
Hierarchy Process ◽  
Best Worst Method

Choosing the best schools from a group of schools is a multi-criteria decision-making (MCDM) problem. In this paper, we have represented a method that uses the fusion of two multi-criteria decision-making methods, Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), to rank some of the user preferred alternatives. The system considers the choice of the user and the quality of the alternatives to rank them. User preferences on the criteria are taken as inputs in the form of best–worst comparison vectors to measure the choice of the user. These values are applied to calculate the numeric weights of each of the criteria. These weights reflect the preference of the user. A dataset of secondary schools in Bangladesh has been compiled and used for automatic quantitative pairwise comparison on the alternatives to calculate the score of each alternative in every criterion, which reflects its quality in that criterion. These scores are calculated using AHP. The weights of the criteria as well as the scores of these alternatives in those criteria are then used to calculate the final score of the alternatives and to rank them accordingly. An extensive experimental analysis and comparative study is reported at the end of this paper.

Promoting ILL/DD within the Jiangsu Academic Library & Information System in China by small consortia

2015 ◽  
Vol 43 (4) ◽  
pp. 182-188 ◽  
Author(s):  
Qingkui Xi ◽  
Qian Zhang ◽  
Feng Ni ◽  
Guiting Cha ◽  
Ping Bao
Keyword(s):  
Information System ◽  
Service Quality ◽  
Resource Sharing ◽  
Academic Library ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Document Delivery ◽  
Work Effectiveness ◽  
Hierarchy Process

Purpose – This paper aims to describe and analyse the interlibrary loan and document delivery (ILL/DD) in university libraries in Jiangsu Province, China, and to evaluate the service quality of one library as an example of how to improve. Design/methodology/approach – This paper first describes the ILL/DD of the Jiangsu Academic Library & Information System (JALIS). It then provides an analysis of the problems in JALIS ILL/DD and gives some suggestions for improvement. Finally, it evaluates the service quality of one library’s ILL/DD based on the analytic hierarchy process (AHP). Findings – It is found that JALIS ILL/DD can be done better via small consortia and discipline centres, and that AHP can be used to evaluate the service quality of a library’s ILL/DD. Social implications – More patrons can access better service, and the work effectiveness of librarians can be improved. Originality/value – This paper is helpful to librarians interested in ILL/DD or resource sharing in China.

scholarly journals Research on Comprehensive Evaluation of Service Quality of Distribution Network Construction Unit Based on Analytic Hierarchy Process

2021 ◽  
Vol 276 ◽  
pp. 02006
Author(s):  
Xue Chen ◽  
Dacai Chen ◽  
Jiyu Li ◽  
Yifu Lin ◽  
Jutian Lai
Keyword(s):  
Service Quality ◽  
Analytic Hierarchy Process ◽  
Power Grid ◽  
Distribution Network ◽  
Evaluation Index System ◽  
Operating Efficiency ◽  
Quality Level ◽  
Analytic Hierarchy ◽  
Hierarchy Process

The service quality level of the construction unit plays an important role in improving the construction quality of the distribution network and the operating efficiency of the power grid enterprises. Therefore, this article combines the characteristics of the construction process management of the distribution network, aims to improve the service quality level of the construction unit, and combines the relevant system requirements of the power grid enterprise and the construction standardization management norms to construct a scientific and reasonable evaluation index system for the service quality level of the construction unit; The analytic hierarchy process determines the index weights and evaluation methods, and provides technical guidance and reference for the power grid enterprises to reasonably carry out the service quality evaluation of the construction unit.

Multi Criteria Decision Making Techniques in Urban Planning and Geology

2018 ◽  
pp. 530-568 ◽  
Author(s):  
Kadriye Burcu Yavuz Kumlu ◽  
Şule Tüdeş
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Spatial Information ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Geological Science ◽  
Simple Additive Weighting ◽  
Hierarchy Process

In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.

scholarly journals Application of fuzzy and classical Multi-Criteria Decision-Making methods in assessing the forest area preservation level of Romania’s counties

2019 ◽  
Vol 25 (2) ◽  
pp. 263-272
Author(s):  
Andra Cosmina Albulescu ◽  
Daniela Larion
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Forest Area ◽  
Forest Loss ◽  
Multi Criteria Decision Making ◽  
County Level ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Forest Cutting

With over a quarter of its territory covered by forest, Romania stands out as a European country with a medium forest area extension. Despite the fact that the forest area has increased since 2008, there are counties that are affected by forest loss caused by outlawed forest cutting and other factors. This calls for improved knowledge and critical spatial planning of the forest area at county level. The aim of this study is to assess the forest area preservation level of Romania’s 41 counties using fuzzy and classical Multi-Criteria Decision-Making methods. The paper includes inferences regarding the distribution of the illegal forest cutting cases at county level, that link forest management issues with the forest area preservation level. Fuzzy Analytic Hierarchy Process (FAHP) is applied to weigh factors related to the changes of forest provisions, forest loss and forest regeneration processes, dimensions of forest exploitation and illegal forest cutting cases using forest data referring to 1990-2017. The alternatives are represented by the 41 counties of Romania and are evaluated by the use of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results are integrated with GIS and the choropleth map may serve as a powerful visual and practical tool for identifying the counties with pressing forest loss issues. Results show the counties with the lowest levels of forest area preservation were Argeș, Prahova and Gorj. Harghita, Brăila and Suceava counties recorded the highest levels of forest area preservation. While some of the counties that rank among the least in terms of forest area preservation are also altered by massive illegal forest cutting, there are others that serve as counter-examples. The discrepancies are explained by the provisional character of the illegal forest cutting data. Our study shows significant practical importance, pointing out the administrative units of Romania that need to take urgent action in order to mitigate the problem of forest loss and to better their forest management.   Keywords: forest area preservation, Fuzzy Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution, forest management, illegal forest cutting, Romania.

scholarly journals Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 351 ◽  
Author(s):  
Katerina Kabassi ◽  
Alessia Amelio ◽  
Vasileios Komianos ◽  
Konstantinos Oikonomou
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
The Status ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

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