scholarly journals Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 363
Author(s):  
Ran Li ◽  
Tao Sun
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Literature Survey ◽  
Multi Criteria Decision Making ◽  
The Core ◽  
Business To Consumer ◽  
Main Factors ◽  
Hierarchy Process

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals THE POLYVOCALITY IN ACTION: EMBODYING THE EPIPHANY ON PUBLIC HOUSING CONUNDRUM

2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah
Keyword(s):  
Decision Making ◽  
Public Housing ◽  
Tacit Knowledge ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Housing Provision ◽  
The Public ◽  
The Government ◽  
Decision Making Model ◽  
Hierarchy Process

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.

scholarly journals Perancangan Sistem Kepuasan Masyarakat Terhadap Pelayanan Publik Dengan Metode Analytical Hierarchy Process (AHP)

2018 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Petrus Sokibi ◽  
Nurul Bahiyah
Keyword(s):  
Decision Making ◽  
Public Service ◽  
Analytical Hierarchy Process ◽  
Public Services ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Satisfaction Level ◽  
The Public ◽  
Hierarchy Process ◽  
Government Institution

Talun sub-district is a government institution that provides public services to the public, which at this time there is no assessment of service satisfaction from the community so that the District Talun cannot know the assessment or complaints from the public to public services provided. The research aims to determine the level of public satisfaction of Public Service in Talun Sub-district. AHP is a complex multi-criteria decision-making method, in an unstructured situation into sections that are then shaped into functional hierarchies to present problems to be solved and then build a priority sequence for alternatives by pairwise alternative comparisons based on judgments of decision makers against a system. The appraisal application yields the value of the public satisfaction level and the eigenvector ranked according to the highest data as the final value of the AHP calculation so that the eigenvector value obtained can facilitate the Camat to see which elements of service are not good.

scholarly journals GIS-SUPPORTED MAPPING OF SUITABLE PARKING AREAS USING AHP METHOD: THE CASE OF KONYA

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 51-56
Author(s):  
T. Alkan ◽  
S. S. Durduran
Keyword(s):  
Decision Making ◽  
Information System ◽  
Analytical Hierarchy Process ◽  
Site Selection ◽  
Multi Criteria Decision Making ◽  
Situation Analysis ◽  
Ahp Method ◽  
Criteria Weights ◽  
Suitable Site ◽  
Hierarchy Process

Abstract. The increase in the number of vehicles with the increasing population has caused the problem of parking insufficiency. This problem necessitate situation analysis of existing parking areas and site selection analyses for new parking areas. It is possible to make suitable site selections with spatial analysis supported by Geographic Information System (GIS). In this study, available parking areas in Selçuklu district of Konya province were evaluated and suitable parking areas were determined in line with the needs. The criteria affecting the parking areas site selection were determined and the importance levels of the criteria were detected by using the Analytical Hierarchy Process (AHP) which is one of the Multi-Criteria Decision Making (MCDM) methods. Density analyses were carried out with GIS and suitable parking areas map was produced considering the criteria weights obtained.

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