Ranking Web Design Firms with the ORESTE Method (original) (raw)

Development of a Measurement Instrument for Website Design Utilizing Analytic Hierarchy Process (AHP) Multi-Attribute Decision Modeling

International Journal of E-Business Research, 2015

For many organizations their websites are the first impression customers have of their companies. The impact and importance of web design on organizations continues to dramatically increase. Yet many organizations continue to struggle to find tools to strategically analyze their websites and overall online presence. While there have been numerous studies offering “best practices” for website design, most of these are dated and do not take into consideration new applications and social media tools that come into the market. In our research over 900 surveys were conducted on Inc. Magazine's Top 500 list (2011-13) of fastest growing companies in the United States. The analysis of these surveys resulted in a list of shared elements (best practices) common to the websites surveyed. Through the use of the Analytic Hierarchy Process (AHP) Multi-attribute Decision Model, we developed a measure by which companies can assess their web presence in comparison to this best practices model. T...

Fuzzy MCDM Approach for E-Commerce Websites Selection Design

2012

This paper presents a fuzzy multiple-criteria analysis approach for E-commerce website evaluation. After comparing with the existing main methods, an E-commerce websites evaluation model has been constructed, and the design process has been presented. For E-commerce website evaluation, relitives of experts, owners and users can just give linguistic comparing descriptions of evaluation criteria. The Fuzzy Analytic Hierarchy Process (FAHP) method is used to determine the weights for criteria among experts.

Evaluation of ranking accuracy in multi-criteria decisions

2006

The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative significance of alternatives as a function of the criteria values is developed. An algorithm of the Technique for the Order Preference by Similarity to Ideal Solution (TOPSIS) that applies criteria values' transformation through a normalization of vectors and the linear transformation is considered. A computational experiment is presented, to compare the results of a multiple criteria analysis and the ranking accuracy in a particular situation.

E-Shopping Sites Preference Analysis with Multi-Criteria Decision-Making Methods

Bilişim Teknolojileri Dergisi, 2019

The increasing usage of the internet all over the world has become an indispensable part of our life. The use of internet in many areas such as health, tourism, education, transportation, shopping, communication, banking is increasing day by day and spreading over a wider area. With the widespread use of the Internet, the use of web sites and the work carried out on this area have also increased. Web sites are the bridge between user and information resources. User-centric design principles make it possible for users to efficiently use web sites. Several methods, standards, and studies have been done to measure accessibility and usability.In this study, the preference of web sites in the shopping sector was compared using the VIKOR method, which is a multi-criteria decision-making method, and the most preferred website was identified. In this context, the opinions of one hundred and eighty web site users were consulted. In the scope of the study, evaluation criteria were determined ...

Using Multiple Criteria Decision Making Approaches to Assess the Quality of Web Sites

Multiple Criteria Decision Making (MCDM) is a widely used discipline in everyday life especially to make decisions about conflict and multiple criteria that need to be evaluated and analyzed. In this paper, the aim is to explore the known MCDM techniques to assess web sites information in specific domains or identify the current developments in on-line literature. Based on applying a Systematic Literature Review (SLR) process, this paper identifies MCDM methodology and provides a comparison of existing research. Further, the analysis highlights the features and limitations of MCDM methods. In order to assess the quality of web sites, it requires a list of criteria and sub-criteria. The metrics depend on web site category that generally the decision makers choose the suitable ones. So, weighing criteria in MCDM problems are usually used to determine their importance. The evaluation with crisp MCDM methods is not largely used. The trend is to make hybridization among them or a combination with fuzzy reasoning.

EVALUATION OF E-COMMERCE WEBSITES BY MULTI-CRITERIA DECISION ANALYSIS

2011

ABSTRACT With the booming of e-commerce market a tremendous growth of shopping websites is emerged, both in terms of quantity and the value-added features offered within a site. Shoppers nowadays in this e-society have faced more complex options than ever in choosing not only the right products, but the website from which they wish to purchase their desired products. In this paper a framework of multi-criteria decision analysis (MCDM) was proposed for evaluating major e-commerce websites in a country.

Application of Multi-Criteria Decision-Making Models for the Evaluation Cultural Websites: A Framework for Comparative Analysis

Information

Websites in the post COVID-19 era play a very important role as the Internet gains more visitors. A website may significantly contribute to the electronic presence of a cultural organization, such as a museum, but its success should be confirmed by an evaluation experiment. Taking into account the importance of such an experiment, we present in this paper DEWESA, a generalized framework that uses and compares multi-criteria decision-making models for the evaluation of cultural websites. DEWESA presents in detail the steps that have to be followed for applying and comparing multi-criteria decision-making models for cultural websites’ evaluation. The framework is implemented in the current paper for the evaluation of museum websites. In the particular case study, five different models are implemented (SAW, WPM, TOPSIS, VIKOR, and PROMETHEE II) and compared. The comparative analysis is completed by a sensitivity analysis, in which the five multi-criteria decision-making models are comp...

a hybrid multi-criteria decision making model to evaluate hotel websites

a hybrid multi-criteria decision making model to evaluate hotel websites, 2014

The main purpose of this study is to develop a robust and reliable model which evaluates the quality of websites of big corporations in the area of hospitality, or more specifically, hotel websites. A hybrid model including two multi-criteria decision making (MCDM) approaches, namely the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), is proposed to achieve a robust evaluation. The AHP is utilized to weigh the criteria, and, ranking of the alternatives are provided via the PROMETHEE. For the case study, websites of five-star hotels in Ankara, which is the capital city of the Republic of Turkey,are evaluated. The proposed model supports reliable and robust results for any qualitative or quantitative criteria to evaluate hospitality websites which is a very important task for both customers, and enterprises, even for governments.

Checking Consistency and Comparing Multi-Criteria Decision Making Methods in the Evaluation of Museums’ Websites

Digital

The need to evaluate museum websites is an issue that has been highlighted by several researchers. In this paper, we focus on museums’ website evaluation and use as a case study the evaluation of natural history museums’ websites. For this evaluation experiment, MCDM methods are combined and compared. The focus of this paper is twofold: (1) checking the consistency of AHP for calculating the weights of criteria and (2) comparing Fuzzy TOPSIS and Fuzzy VIKOR with each other and with a usability evaluation questionnaire.

A hierarchical interactive method for ranking alternatives with multiple qualitative criteria

European Journal of Operational Research, 1986

In this study we deal with the problem of finding the most preferred composite ranking of a set of alternatives evaluated using a large number of criteria having a hierarchical structure. The criteria may be qualitative or quantitative. The decision maker evaluates alternatives using each criterion at the lowest (basic) level. That information is then used to construct the generalized correlation matrix to describe interdependencies between the criteria. The correlation matrix and the criterion hierarchy are the basic information used in the approach. Our interactive approach is designed to help the decision maker find the most preferred aggregation of the kth level criteria, which produces the criteria at the (k + 1)st level. As the final result of the aggregation we obtain the strength of the preference matrix for the criterion at the highest level. By means of that matrix, we produce the final ranking of the alternatives using the Bowman and Colantoni (1973) model. The approach is easy to implement and convenient to use. We have implemented an experimental version of it on an Apple III microcomputer. The graphical colour display is used as an aid in finding the most preferred aggregation. An illustrative example is provided.