Web Engineering 2005
DOI: 10.4018/978-1-59140-432-3.ch007
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The eQual Approach to the Assessment of E-Commerce Quality

Abstract: Understanding the customer is a key aspect of developing any e-commerce offering. In doing so, organizations can improve their offerings over time and benchmark against competitors and best practice in any industry. eQual is a method for assessing the quality of Web sites. The eQual instrument has evolved via a process of iterative refinement in different e-commerce domains. Two of the studies conducted have examined online bookshops as a domain for e-commerce quality evaluation, one based on eQual 2.0 and the… Show more

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Cited by 244 publications
(395 citation statements)
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“…The concept of e-service quality is derived from that of quality of traditional services, and eservice quality can be the key important factor for online organizations with many online organizations failing due to inadequacy in that regard (Vidgen and Barnes 2002;Kim et al 2009). Collier and Bienstock (2006) conceptualized e-service quality as users' perceptions of the outcome of the service delivery and included service recovery perceptions in the event of service failure; e-service quality is recognized as a significant online factor (Santos 2003;Lee and Lin 2005;Li and Suomi 2009).…”
Section: E-service Qualitymentioning
confidence: 99%
See 1 more Smart Citation
“…The concept of e-service quality is derived from that of quality of traditional services, and eservice quality can be the key important factor for online organizations with many online organizations failing due to inadequacy in that regard (Vidgen and Barnes 2002;Kim et al 2009). Collier and Bienstock (2006) conceptualized e-service quality as users' perceptions of the outcome of the service delivery and included service recovery perceptions in the event of service failure; e-service quality is recognized as a significant online factor (Santos 2003;Lee and Lin 2005;Li and Suomi 2009).…”
Section: E-service Qualitymentioning
confidence: 99%
“…WebQual had 12 variables: informational fit-to-task, tailored communications, trust, response time, ease of understanding, intuitive operations, visual appeal, innovativeness, emotional appeal, consistent image, online completeness and relative advantage. Using the same name for an evaluating model, Barnes and Vidgen (2002) developed their WebQual scale based only on three factors: usability, information quality, and service interaction quality. Similarly, performance, features, structure, aesthetics, reliability, serviceability, security and system integrity, trust, responsiveness, service differentiation and customization, web store police, reputation, assurance and empathy were the range of elements offered by Madu and Madu (2002) for assessing web site design.…”
Section: E-service Qualitymentioning
confidence: 99%
“…Puesto que el número de indicadores variaba de unas dimensiones a otras y que puede ser muy útil asignar un peso específico a cada una de ellas si se considera que no todas son igual de relevantes (Barnes y Vidgen, 2002), lo que suele suceder en la mayoría de las ocasiones en que se lleva a cabo un proceso de evaluación, se decidió ponderar cada una de las dimensiones. Para esta labor se llevó a cabo una consulta a un grupo de expertos en la materia que ya habían colaborado con nosotros en labores similares, en la que se les pedía que opinasen sobre qué porcentaje de la puntuación total debía corresponder a cada dimensión.…”
Section: Checklistunclassified
“…An evaluation list of the scholarly information site was developed by partially referring to Nielsen (1994Nielsen ( , 1999, Barnes and Vidgen (2002), and DeLone and Mclean (1992). The list was not limited to usability; it covered evaluation items of information quality and service quality, including seven assessment dimensions: information, visualization, error, learnability, speed/access, service interaction, and personalization.…”
Section: User Participation Evaluation Of a Scholarly Information Sitmentioning
confidence: 99%
“…information, service interaction, system error, etc.). Throughout the evaluation, strengths and weaknesses are identified and analyzed in terms of cause and effect, focusing on perceived system functionality (Agerfalk et al 2002;Beyer & Holtzblatt 1998) and Web quality (Barnes & Vidgen 2002).…”
Section: Related Studiesmentioning
confidence: 99%