Measuring Website Quality using Service Quality and User Satisfaction Dimensions: A Conceptual Framework

Albalushi, Mohammed Ali; Jano, Zanariah; Devi, Indra; Abazeed, Ashraf; Alkaabi, Maktoum

doi:10.3844/jcssp.2022.674.686

Cited by 1 publication

(1 citation statement)

References 62 publications

(116 reference statements)

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“…User satisfaction is crucial and the dashboard should provide the required information to meet user needs and increase the usage of BI systems. Content, format, timeliness, accuracy, and ease of use, are important aspects of user satisfaction (Albalushi et al, 2022;Bevan et al, 2015;Bouchana and Idrissi, 2015).…”

Section: Usabilitymentioning

confidence: 99%

A Conceptual UX Model for Designing and Developing the Business Intelligence Dashboards

Muppidi,

Hashim,

Hasan

et al. 2023

Journal of Computer Science

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Interactive dashboards are becoming increasingly popular for aiding users with data discovery and BI analysis. As UX is an important factor in developing Business Intelligence (BI) dashboards, the majority of current research centers around the evaluation of the User Experience (UX) in Business Intelligence (BI) dashboards, but there are only a few studies that focus on the UX aspect of designing and developing such dashboards and most of the dashboards were developed without considering the human aspects. Therefore, the absence of UX in dashboard development can make it difficult for users to understand and fully utilize the dashboard, which leads to a lack of effectiveness. Therefore, there is a need to consider UX factors while designing and developing BI dashboards. The main aim of this study is to develop a UX Model by including both user experience and business intelligence dashboard elements for designing and developing the BI dashboards. In this research, we proposed a user experience by considering the elements of UX and BI dashboards from the existing literature, validated the model by conducting FGD, and analyzed FGD comments by applying the thematic analysis method. Based on the result after conducting analysis we updated the proposed model. The developed model can guide the developer while designing and developing the BI dashboard.

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Section: Usabilitymentioning

confidence: 99%