Assessing the quality of web sites

Hasan, Layla; Abuelrub, Emad

doi:10.1016/j.aci.2009.03.001

Cited by 198 publications

(133 citation statements)

References 9 publications

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“…These requirements are already covered in some previous constructs in this chapter (Alotaibi, 2013;Hasan & Abuelrub, 2011). For instance, it has already been discussed that it is important to take advantage of communication channels with customers regularly to provide user feedback, which can significantly help in determining elements that consumers require (Alba et al, 2013;AlGhaith et al, 2010).…”

Section:  the M-commerce Applications Should Always Be Ready To Helpmentioning

confidence: 99%

“…The importance of IU construct arises because the consumers have reasonable satisfaction from previous operations, which let them to return and use online purchasing again through M-commerce method (Noh & Lee, 2015). Furthermore, good service of companies plays a significant role in giving their customers adequate motivation to use their application frequently as well as use other applications that cover the same field or similar activities (Hasan & Abuelrub, 2011;Wang, 2008). In general, customers with commercial applications want to use other applications that have similar features and capabilities (Bahaddad et al, 2014).…”

Section: Intention To Use Requirements Constructmentioning

confidence: 99%

“…Many previous marketing studies have indicated that SQ, IQ and SQU lead to US and thus regular return shopping (Aladwani, 2002;Al-adaileh, 2009;Davis, 1989;Eid, 2011;IVES et al, 1983;Lam et al, 2004;Wang et al, 2011). This part of the study will focus on the following three hypotheses: Many previous studies focused on Intention to Use, which results from quality systems that directly motivate consumers to purchase from the same M-commerce system multiple times (Caruana & Fenech, 2005;Eid, 2011;Hossain & Hossain, 2011;Parasuraman & Grewal, 2000). In addition, other studies have suggested that Net Benefits also contribute to increased customer loyalty (DeLone & McLean, 2003;Parasuraman & Grewal, 2000;Petter et al, 2008;Pitt et al, 1995;Wang et al, 2006).…”

Section: The Model Research Framework Hypothesesmentioning

confidence: 99%

“…Customer satisfaction levels represent a key aspect of any electronic system success, and thus it is important to set up basic, established steps for the acceptance of an online purchase system by a target audience (Hasan & Abuelrub, 2011;Noh & Lee, 2015;Wang, 2008). This construct focuses on finding out what level of customer satisfaction it is important to maintain, and correlates significantly with constructs including SQ, IQ and SQU.…”

Section: User Satisfaction Requirements Constructmentioning

confidence: 99%

“…Many attractive updates can be provided to customers regularly via social networks (Hasan & Abuelrub, 2011;Sohaib & Kang, 2013). This means that the data update does not depend on the information and illustration aspects of the application only, but also on updating information related to the products offered, including how to communicate with customers and inform them about new products, promotions, and exhibits in order to www.scholink.org/ojs/index.php/jbtp Journal of Business Theory and Practice Vol.…”

Section: M-commerce Applications -Iq04mentioning

confidence: 99%

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Evaluating M?Commerce Systems Success: Measurement and Validation of the DeLone and McLean Model of IS Success in Arabic Society (GCC Case Study)

Bahaddad¹

2017

JBTP

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Section:  the M-commerce Applications Should Always Be Ready To Helpmentioning

confidence: 99%

Section: Intention To Use Requirements Constructmentioning

confidence: 99%

Section: The Model Research Framework Hypothesesmentioning

confidence: 99%

Section: User Satisfaction Requirements Constructmentioning

confidence: 99%

Section: M-commerce Applications -Iq04mentioning

confidence: 99%

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Evaluating M?Commerce Systems Success: Measurement and Validation of the DeLone and McLean Model of IS Success in Arabic Society (GCC Case Study)

Bahaddad¹

2017

JBTP

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Click behavior and link prioritization: Multiple demand theory application for web improvement

Song

Tso

2019

Asso for Info Science & Tech

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A common problem encountered in Web improvement is how to arrange the homepage links of a Website. This study analyses Web information search behavior, and applies the multiple demand theory to propose two models to help a visitor allocate time for multiple links. The process of searching is viewed as a formal choice problem in which the visitor attempts to choose from multiple Web links to maximize the total utility. The proposed models are calibrated to clickstream data collected from an educational institute over a seven‐and‐a‐half month period. Based on the best fit model, a metric, utility loss, is constructed to measure the performance of each link and arrange them accordingly. Empirical results show that the proposed metric is highly efficient for prioritizing the links on a homepage and the methodology can also be used to study the feasibility of introducing a new function in a Website.

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Factors influencing the adoption of e‐government websites in Afghanistan from the citizens' perspective

Mohammadi

2022

E J Info Sys Dev Countries

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The report by the United Nations in 2020 stated that Afghanistan was ranked 118th position in the e‐participation index which shows the low level of adoption among the Afghan citizens to online services offered by the e‐government websites in Afghanistan. As no previous research has been conducted to explore the influential factors on the adoption of e‐government websites in Afghanistan, this research fills the research gap by exploring the impact of website quality factors, trust factors, and technology adoption factors on intention to use e‐government websites from the citizens' perspective in Afghanistan. This research also investigates the impact of factors on the adoption of governmental websites at three levels (information, interaction, and transaction) of e‐government maturity. As part of the current research, the unified model of e‐government adoption (UMEGA) model was extended by integrating website quality factors and trust factors, which were extracted based on an extensive literature review. To validate the model, a survey of 294 Afghan citizens was conducted in four provinces of Afghanistan. The data were then analyzed using the partial least square‐structured equation modeling (PLS‐SEM) technique. The result revealed that websites quality, technology adoption, and trust factors have major impacts on the adoption of e‐government websites in Afghanistan, the impact of which varies depending on the level of e‐government maturity. Public administrators, officials, policymakers, website designers, and researchers have potential implications from the findings of this research regarding the adoption of governmental websites in Afghanistan.

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Assessing the quality of web sites

Cited by 198 publications

References 9 publications

Evaluating M?Commerce Systems Success: Measurement and Validation of the DeLone and McLean Model of IS Success in Arabic Society (GCC Case Study)

Evaluating M?Commerce Systems Success: Measurement and Validation of the DeLone and McLean Model of IS Success in Arabic Society (GCC Case Study)

Click behavior and link prioritization: Multiple demand theory application for web improvement

Factors influencing the adoption of e‐government websites in Afghanistan from the citizens' perspective

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