Using Quality Dimensions in the Evaluation of Websites

Stockdale, Rosemary; Borovicka, Michael C. A.

doi:10.1007/3-211-32710-x_45

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…Success measures Success measures vary from one IS to another. Stockdale and Borovicka [37] states that success measures are influenced by the type of system being evaluated. Thus, it is important to relate the context of the IS to the appropriate success measure [38].In this study, information and system quality are adapted from DeLone and McLean [7].…”

Section: A) H2: Effort Expectancy Would Positively Affect Students' Bmentioning

confidence: 99%

Mobile Learning-system usage: Scale development and empirical tests

Alharbi¹,

Drew²

2014

ijarai

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Abstract-Mobile technologies have changed the shape of learning for learners, society, and education providers. Consequently, mobile learning has become a core component in modern education. Nevertheless, introducing mobile learning systems does not automatically guarantee that learners will develop a positive behavioural intention to use it and therefore use it. Thus, acceptance-of-technology and system-success studies have increased. As yet, however, much of the research regarding understanding students' behavioural intention to use mobile learning systems seems to suffer from several shortcomings. On top of that, there is no common cognitive theoretical foundation. This study introduces a theoretical framework that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) and Information System (IS) Success Model. This integration resulted in three success measures and two acceptance constructs. The success measures included the following: a) information quality, b) system quality, and c) user satisfaction; whilst the following were the acceptance measures: a) effort expectancy, b) performance expectancy, and c) social influence. Further, this study introduces lecture attitude as a new construct that is believed to moderate students' behavioural intention. The relationships between the different factors form the research hypotheses.

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Section: A) H2: Effort Expectancy Would Positively Affect Students' Bmentioning

confidence: 99%

Mobile Learning-system usage: Scale development and empirical tests

Alharbi¹,

Drew²

2014

ijarai

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show abstract

“…They have empirically tested user satisfaction of different web sites and determined two characteristics: usability and user-based designed. Based on an IS and e-commerce success model Stockdale and Borovicka (2006) developed web site evaluation instrument and tested it through a pilot study on tourism web site. Based on the previous studies they developed system quality, information quality and service quality criteria to evaluate a tourism web site.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Evaluation of government e‐tax websites: an information quality and system quality approach

Saha

Nath

Salehi‐Sangari

2012

Transforming Government: People, Process and Policy

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Purpose -Despite the growth in adoption of technology by governments, the assessment of quality in electronically delivered public services has been relatively lacking. Past researches on information systems have identified information and service quality, system use, playfulness, and system design quality as critical factors of successful service delivery in e-commerce. The purpose of this paper is to empirically test the applicability of system and information quality criteria in evaluating government e-services websites. The main research problem identified in this study was "what are the system and information quality characteristics of government service delivery websites?" Design/methodology/approach -Based on a survey of 97 Municipalities from all the 21 regions of Sweden, the authors examine the presence of system quality features, specifically functionality, navigation, and accessibility; and measures of information quality in government websites. A systematic random sampling was chosen as the suitable approach; 290 municipalities are organized in 21 counties and we have chosen every 3rd number of municipalities from the list. An online survey was conducted, with 408 valid responses taken. A confirmatory factor analysis was conducted for system and information quality. Findings -Results indicate that accessibility and the navigation facility are important in determining a citizen's perceived system quality. Information preciseness, timeliness, and sufficiency were found to be key measures of information quality in government e-services. Furthermore, an important finding from this research is that theories from information systems (IS), e-commerce, and marketing were found to be applicable in assessing government e-tax services within the broader area of government-to-citizen (G2C) service delivery systems. In addition, a quantitative study was conducted among citizens to determine system and information quality characteristics. Originality/value -The results presented in this paper can help the authorities to identify key quality criteria for e-tax services that are valued by citizens and consequently improve service levels. Taking the context into consideration, additional variables are incorporated from literature that spans several disciplines (IS, e-commerce, and marketing), and some re-specifications are made to identify system and information quality criteria in the context of an e-tax filing service, which was the main theoretical contribution of this study.

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Section: A) H3: Effort Expectancy Students' Behaviour Intention To Usmentioning

confidence: 99%

Mobile learning-system usage: An integrated framework to measure students' behavioural intention

Alharbi

Drew

2014

2014 Science and Information Conference

View full text Add to dashboard Cite

Mobile technologies have changed the shape of learning for learners, society, and education providers. Consequently, mobile learning has become a core component in modern education. Nevertheless, introducing mobile learning systems does not automatically guarantee that learners will develop a positive behavioural intention to use it and therefore use it. Thus, acceptance-of-technology and system-success studies have increased. As yet, however, much of the research regarding understanding students' behavioural intention to use mobile learning systems seems to suffer from several shortcomings. On top of that, there is no common cognitive theoretical foundation. This study introduces a theoretical framework that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) and information system (IS) success model. This integration resulted in three success measures and two acceptance constructs. The success measures included the following: a) information quality, b) system quality, and c) user satisfaction;whilst the following were the acceptance measures: a) effort expectancy, b) performance expectancy, and c) social influence. Further, this study introduces lecture attitude as a new construct that is believed to moderate students' behavioural intention. The relationships between the different factors form the research hypotheses.

show abstract

Using Quality Dimensions in the Evaluation of Websites

Cited by 10 publications

References 27 publications

Mobile Learning-system usage: Scale development and empirical tests

Mobile Learning-system usage: Scale development and empirical tests

Evaluation of government e‐tax websites: an information quality and system quality approach

Mobile learning-system usage: An integrated framework to measure students' behavioural intention

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