Assessing Web Site Usability in Retail Electronic Commerce

Downing, Charles E.; Liu, Chang

doi:10.1109/compsac.2011.26

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…The questions comprise efficiency, effectiveness, user satisfaction, learnability, accessibility, navigation, content availability, structure and design and model acceptance. The items as seen in Table V were derived from prior usability studies (Palmer, 2002; Wang and Senecal, 2007; Milis et al , 2008; Broberg, 2011; Downing and Liu, 2011; Theng and Sin, 2012; Lee and Kozar, 2012; Aziz and Kamaludin, 2015) and used to test the usability of the developed AHP-software risk prioritization model.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, questionnaire was developed based on nine attributes to test the usability of the AHP-software risk prioritization model similar to previous studies (Huang et al , 2004; Toledo et al , 2011; Ganguly and Guin, 2013). The usability attributes derived from previous studies (Nielsen, 1993; Palmer, 2002; Zhang and Adipat, 2005; Wang and Senecal, 2007; Downing and Liu, 2011; Lee and Kozar, 2012; Theng and Sin, 2012; Kartika and Surendro, 2016) comprise efficiency, effectiveness, user satisfaction, learnability, accessibility, navigation, content availability, structure and design as independent variable (IV) and model acceptance as dependent variable (DV).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling

Anthony

2019

JSTPM

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Purpose This study aims to develop a software risk prioritization model using analytic hierarchy process (AHP) and further validate the usability attributes of the model in prioritizing operational, technical, technological, strategic and environmental software risks. Design/methodology/approach Questionnaire was used to collect data from software practitioners to evaluate the usability attributes of the AHP-software risk prioritization model. Accordingly, partial least square-structural equation modeling was used to analyze the collected data. Findings Results reveal that the developed AHP-software risk prioritization model is efficient and effective in facilitating software risk factor prioritization. In addition, results suggest that the experts are satisfied with the learnability, accessibility and navigation capability of the model. Besides, results indicate that the model provides a useable interface and system design for content availability of information needed by software practitioners in evaluating and prioritizing operational, technical, technological, strategic and environmental risk. Furthermore, results show that the experts intend to adopt the model to prioritize identified software risk in their firm. Research limitations/implications Methodologically, the developed AHP-software risk prioritization model is faced with issues such as inconsistency in judgments, weakness of confronting ambiguities and uncertainties of high complexity. Empirically, data were collected from software practitioners in Malaysia to validate the AHP-software risk prioritization model. Hence, results from this study cannot be generalized to other software practitioners in different countries. Practical implications This study developed a software risk prioritization model to evaluate and prioritize software risks that occur in software organizations by deploying AHP to carryout risk factor priority selection. Moreover, the model provides risk knowledge as guidelines for evaluating software risks in software organizations. Social implications The developed AHP-software risk prioritization model computes risk prioritization factor priority selection and further supports software practitioners and evaluates risks and associated risk factors. Besides, this study develops an instrument that can be used in project risk management to validate the usability attributes of software risk approaches. Originality/value This research designs use case and class diagram to show how the AHP-software risk prioritization model evaluates and prioritizes software risks factors by using risk evaluation questions. Additionally, the AHP-software risk prioritization model computes, evaluates and prioritizes software risk factors using risk factor priority selection for software project management.

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Section: Resultsmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling

Anthony

2019

JSTPM

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“…SFN3-Responsiveness in processing request. (Seffah et al, 2006;Downing and Liu, 2011; Table 5 presents the derived questionnaire factors associated elements, and references where the items were derived from in formulating the questionnaire instrument. After which data was collected from a few practitioners in educational institution in Malaysia that implements Green practices.…”

Section: Questionnaire Designmentioning

confidence: 99%

Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

Anthony

Majid

Romli

2019

JSIT

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Purpose The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility. Design/methodology/approach Data were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool. Findings Results from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool. Research limitations/implications The sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems. Practical implications Practically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth. Social implications This study presents how case-oriented agents aid educational institutions in going green for environmental responsibility. Socially, this research provides the strategies for green practice improvement in educational institutions toward environmental responsibility. Originality/value The eco-responsibility decision support tool provides a Web-based platform for promoting ecological protection by supporting the measuring of practitioners’ current green practices for environmental responsibility. Thus, research findings from this study are expected to help decision-makers generate useful insights into environment-friendly strategies to be implemented in educational institutions. Lastly, the statistical tests adopted in this paper can be used to gauge the feasibility of information system application in future.

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“…And the main observation about the usability is that these factors will not differentiate their websites from others. [20] Poorly designed user interface may also cost lives of people. There was an incident of "The Therac-25 Accident" which took life of many people merely because of confusing User Interface.…”

Section: Literature Reviewmentioning

confidence: 99%

An Extended Shackel’s Acceptability Paradigm: a Balance of Security & Speed

Kumar¹,

Kalia²,

mar³

2019

IJRTE

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Today’s world is full of technical equipments. Human lifestyle has been changed due to tremendous growth in Internet Users. There are different types of machines like mobile, tablet, laptop, desktop, etc. User Interface is an important concept in case of every machine. Prof. Brain Shackel proposed a paradigm for web-development in which, there is a number of parameters like Usability, Utility, Likability, and Speed. Utility, Usability, and Likability are important while designing a web portal yet without having a good speed, these factors are useless. Now, the effect of these parameters on user’s lifestyles or lives is a big question need to be considered. In this paper, research is carried out to analyze the factors of Shackel’s Acceptability paradigm. Some key factors have been identified for improving the speed of a website. In order to carry out this research a webportal has also been analyzed using GTMetrix Tool. An Extended Paradigm has also been introduced in this direction with five parameters i.e. Usability, likability, Utility and in the core there is speed and security.

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Assessing Web Site Usability in Retail Electronic Commerce

Cited by 15 publications

References 11 publications

Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling

Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling

Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

An Extended Shackel’s Acceptability Paradigm: a Balance of Security & Speed

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