E-commerce website quality assessment based on usability

Singh, Tanya; Malik, Sachin; Sarkar, Darothi

doi:10.1109/ccaa.2016.7813698

Cited by 32 publications

(24 citation statements)

References 9 publications

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“…In this sense, according to Aladwani & Palvia (2002), the construction of quality measures in the context of websites is a challenging task, since it is a complex and multidimensional concept. Most studies involve technical characteristics such as download speed (Palmer, 2002;Galletta, et al, 2004, Gata & Gilang, 2017, security Braz et al, 2007), usability (Bangor et al, 2008;Fang & Holsapple, 2007;Singh et al, 2016), the quality of the content (Agarwal & Venkatesh, 2002;Goldberg & Allen, 2008;Stoyanov et al, 2015) and non-technical features such as aesthetics (Pandir & Knight, 2006;Lindgaard et al, 2006;Stoyanov et al, 2015), reliability (Seffah, et al, 2006; and visual appeal (Kulviwat et al, 2007;Lindgaard, 2007). However, few studies have explored the hierarchy of dimensions of these elements, so little is known about the relationships between the various scales or the overall construction of a scale for measuring website quality.…”

Section: /934mentioning

confidence: 99%

“…In general, the first dimension groups items with characteristics directed to the user's guidance on the website, also classified by some authors, such as navigability and usability (González & Palacios, 2004;Nusair & Kandampully, 2008;Singh et al, 2016). This dimension contains items with secondary loading mainly in dimension four, which is characterized by items related to information display.…”

Section: Dimensionmentioning

confidence: 99%

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Modelo multidimensional para mensurar qualidade em website de e-commerce utilizando a teoria da resposta ao item

et al. 2018

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ISSN 0104-530X (Print) ISSN 1806-9649 (Online) Resumo: O presente artigo propõe um modelo multidimensional para medir a qualidade de websites comerciais com uso da Teoria da Resposta ao Item (TRI). A qualidade de um website engloba características técnicas (usabilidade/navegabilidade, apresentação da informação e interatividade) e não técnicas (design, estética, apelo visual, confiabilidade, hedonismo, imagem), configurando-se, teoricamente, como contexto multidimensional. As suposições iniciais das dimensões e elaboração dos itens foram baseadas em análise bibliográfica sobre o tema qualidade em websites de e-commerce. Um conjunto de 75 itens foi elaborado e uma amostra de 441 websites de e-commerce dos mais variados setores foi a ele submetido. O tratamento e análise dos dados foram feitos utilizando-se a TRI. Nessa etapa, foram discutidas questões referentes à dimensionalidade e à escolha do modelo mais adequado. Por fim, um modelo multidimensional com quatro dimensões foi ajustado contemplando as dimensões navegabilidade ou condução/orientação do usuário, acessibilidade e confiabilidade do sistema, interatividade e apresentação da informação. Palavras-chave: Qualidade em websites; E-commerce; Modelagem; Teoria da Resposta ao Item Multidimensional.Abstract: The goal of this article is to propose a multidimensional modeling to measure the quality of commercial websites with the use of Item Response Theory (IRT). The quality of a website encompasses technical characteristics (usability-navigability, presentation of information and interactivity) and non-technical characteristics (design, aesthetics, visual appeal, reliability, hedonism, image), theoretically configuring a multidimensional context. The initial hypothesis of the dimensions and the elaboration of the items were based on a bibliographic analysis about the theme of e-commerce website quality. A set of 75 items was prepared and submitted to a sample of 441 e-commerce websites from a wide variety of sectors. The treatment and analysis of data was conducted using IRT. In this step, questions related to dimensionality and the choice of the most suitable model was discussed. Finally, a multidimensional model with four dimensions was adjusted.

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Section: /934mentioning

confidence: 99%

Section: Dimensionmentioning

confidence: 99%

Modelo multidimensional para mensurar qualidade em website de e-commerce utilizando a teoria da resposta ao item

et al. 2018

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“…Portability means the ability to move the website from one host platform to another and the platform that runs the site will work on the new host. Tanya Singh et al [5], have used quality factors that include Usability, Privacy and Security, Adequacy of information and Appearance. Usability is the ease of use and learn ability of a human-made object such as a tool or device.…”

Section: Literature Surveymentioning

confidence: 99%

Quantifying quality of WEB sites based on content

Raghavarao¹,

Sasidhar²,

Sastry³

et al. 2018

IJET

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Information dissemination is taking place extensively through WEB and use of internet. The quality and reliability of the information hosted on the WEB is questionable. Many factors are to be considered for assessing the quality of the WEB sites. The Information hosted on the WEB would become valuable only when top quality of the same is maintained. Each quality factor can have many dimensions. There should be a mechanism of computing the quality of a web site quantitatively so that quality of a web site can be realistically measured. Any subjective or objective way of measuring quality is questionable and can be prejudiced at times. Every factor as such must be measured the entire quality of a web site must be measured considering all the factors. One can develop a norm for quality of a factor and any deviation from the norm needs to be rectified and controlled. Among other factors quality of the content hosted on the WEB plays vital role. In this paper the computational method which can be used for computing the quality of a web site is presented considering all the dimensions of content related quality factor.

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“…The results of this study concluded that those had positive impact on customer intention to purchase in e-commerce transactions on social media. T. Singh [15] identified factors related to usability of e commerce website which are: user satisfaction simplicity, attractiveness, speed, efficiency, and searching product information. A survey used these factors as a valuable input from user for assessing the usability of e-commerce website.…”

Section: Introductionmentioning

confidence: 99%

A novel approach to dynamic profiling of e-customers considering click stream data and online reviews

Zaim¹,

Haddi²,

Ramdani³

2019

IJECE

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<p>In this paper, we present an approach for mining change in customer’s behavior for the purpose of maintaining robust profiling model over time. Most of previous studies leave important questions unanswered: In developing B2C e-commerce strategies, how do managers implicitly load customer’s profiles based on their satisfaction over the online store characteristics? And: What kind of feedback segments do they have? Our proposed approach does not force customers to explicitly express their preference information over the online service but rather capture their preference from their online activities. The challenge does not only lay in analyzing how customer’s classifier model change and when it does so but also to adapt it to the customer’s click stream data using a new decision tree generation algorithm which takes as inputs new set of variables; categorical, continuous and fuzzy variables. Customer’s online reviews rates are considered as classes. Experiments show that this work performed well in identifying relevant customer’s stream data to judge the chinese e-commerce website “Tmall”. The extracted values of the website’s features are also useful to identifying the satisfaction level when the customer’s rate is not available.</p><p> </p>

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E-commerce website quality assessment based on usability

Cited by 32 publications

References 9 publications

Modelo multidimensional para mensurar qualidade em website de e-commerce utilizando a teoria da resposta ao item

Modelo multidimensional para mensurar qualidade em website de e-commerce utilizando a teoria da resposta ao item

Quantifying quality of WEB sites based on content

A novel approach to dynamic profiling of e-customers considering click stream data and online reviews

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