Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL

Kang, Daekook; Jang, Woo-Seok; Park, Yongtae

doi:10.1016/j.asoc.2016.01.017

Cited by 89 publications

(48 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Fuzzy AHP Zandi and Tavana (2011) Develop the e-CRM framework in agile manufacturing Fuzzy QFD Büyüközkan and Çifçi (2012) e-service quality in healthcare Fuzzy AHP and Fuzzy TOPSIS Tavana et al (2013) Process of selection social media platform Fuzzy ANP Wang (2013) Customer satisfaction and product configuration Fuzzy Kano Naili et al (2015) E-Commerce issues Fuzzy MCDM Şengül and Eren (2015) E-market place Fuzzy AHP -TOPSIS Joshi and Alur (2015) Enhancing buyer and seller preferences Fuzzy MCDM Kaltenrieder et al (2015) To improve digital marketing management endeavours Fuzzy ANP Kang et al (2016) Evaluation of e-commerce websites Fuzzy TOPSIS Sohaib and Naderpour (2017) cloud computing and e-commerce Fuzzy TOPSIS…”

Section: Identification Of Success Factors Of Mobile Ecommercementioning

confidence: 99%

Predicting changing pattern: building model for consumer decision making in digital market

Mangla

Luthra²,

Rana

et al. 2018

JEIM

View full text Add to dashboard Cite

Purpose Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context. Design/methodology/approach To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data. Findings The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal. Practical implications The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk. Originality/value This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.

show abstract

Section: Identification Of Success Factors Of Mobile Ecommercementioning

confidence: 99%

Predicting changing pattern: building model for consumer decision making in digital market

Mangla

Luthra²,

Rana

et al. 2018

JEIM

View full text Add to dashboard Cite

show abstract

“…When the premised parameters are fixed, the overall output is a linear combination of the consequent parameters. In symbols, the f output can be written as: f =(w 1 ⋅x )⋅c 11 +(w 1 ⋅y )⋅c 12 +w 1 ⋅c 10 + +(w 2 ⋅x )⋅c 21 +(w 2 ⋅y )⋅c 22 +w 2 ⋅c 20 (8) which is linear in the consequent parameters ci,j (i = 1, 2; j = 0, 1, 2). A hybrid algorithm adjusts the consequent parameters ci,j in a forward pass and the premise parameters {a i , b i ,c i } in a backward pass [27].…”

Section: Layermentioning

confidence: 99%

“…It is an experimental method that supposes to find the most important input variables among a large number of them [8].…”

Section: Data Preprocessingmentioning

confidence: 99%

Adaptive Neuro – Fuzzy Inference Systems – An Alternative Forecasting Tool for Prosumers

Dragomir¹,

Dragomir²,

Ştefan³

et al. 2015

SIC

View full text Add to dashboard Cite

Abstract:The goal of this paper is to propose a forecasting tool to producers/ consumers (prosumers) of renewable energy sources, based on artificial intelligence techniques, trying to obtain optimal predictions. The exploration and the assessment of the criteria used for choosing the adequate forecasting tool are made in the artificial intelligence context. In this respect, firstly, the criteria used for choosing the best forecasting technology, in relation to each step of the modelling process are presented. Secondly, the identified criteria are tested on two Adaptive Neuro-Fuzzy Inference System (ANFIS) models, in order to underline the effects of these users' decisions over the forecasting performances.

show abstract

“…Some researchers focus on the evaluation of websites serving in a specific area such as e-commerce (Kang et al, 2016), travel and tourism (Law and Bhalis, 2010;Cengiz and Akkuş, 2015), sports (Chiu and Won, 2016), logistics (Bulíček and Drdla, 2015;Jain and Rangnekar, 2015) and health (Raj et al, 2016). Websites are evaluated according to various criteria which are sector specific for some cases.…”

Section: Dimensions Of Website Evaluationmentioning

confidence: 99%

Compatibility of Firm Positioning Strategy and Website Content: Highest R&D Spending Firms in Turkey

Kesici¹,

Nazlı²,

Turhan³

2017

Gaziantep University Journal of Social Sciences

View full text Add to dashboard Cite

Corporate websites are essential platforms through which firms introduce their goods and services on B2B and B2C level, express financial information for the stakeholders and share corporate values, purposes and activities. Due to its facilities, websites take part in firm positioning strategy. Accordingly this study aims to understand the innovation oriented positioning through corporate websites. The method applied in this study has been adapted from the 2QCV2Q Model developed by Mich and Franch (2000) to evaluate websites and top 30 firms with the highest Research and Development expenditures listed in Turkishtime (2015) have been analyzed. Within this context, this study presents a revised and updated method for the assessments of websites through positioning strategy framework. Findings indicate no direct relationship between website evaluation and R&D expenditure, though some common weaknesses have been put forward, such as information about management of the firms. Besides, publicly traded firms are recognized to facilitate websites more efficiently than non-publicly traded firms. Study contribute to both academia and practitioners as putting forward a new approach for 2QCV2Q Model and indicating the similarities and differences among the corporate websites through positioning perspective.

show abstract

Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL

Cited by 89 publications

References 32 publications

Predicting changing pattern: building model for consumer decision making in digital market

Predicting changing pattern: building model for consumer decision making in digital market

Adaptive Neuro – Fuzzy Inference Systems – An Alternative Forecasting Tool for Prosumers

Compatibility of Firm Positioning Strategy and Website Content: Highest R&D Spending Firms in Turkey

Contact Info

Product

Resources

About