Website quality and users' intention to use digital libraries: Examining users’ attitudes, online co-creation experiences, and eWOM

Pourjahanshahi, Fatemeh; Mollahosseini, Ali; Dehyadegari, Saied

doi:10.1016/j.jretconser.2023.103393

Cited by 13 publications

(3 citation statements)

References 41 publications

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“…Furthermore, a good quality website also could enhance the eWOM of the organization. Pourjahanshahi found this finding in their research [6]. Therefore, it enhances the organization, in this case, the university exposure.…”

Section: Introductionmentioning

confidence: 69%

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Measuring the Quality of Higher Education Website using Webqual Method and Importance-Performance Analysis

Effendi Muftikhali,

Satria,

Nurul Jamilah

2024

SISTEMASI

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Website is one of the necessities needed by organizations, including educational organizations. Telkom University Jakarta Campus (TUJC) is an educational organization that needs it. Analysis methods needed to be conducted to find what needed to be improved. WebQual is utilized to gain this insight. Web Quality Index and Importance Performance analysis are performed to calculate the results. The results of the Web Quality index show that users' perspective is 60% on average and got a negative gap analysis. Therefore, the website needs improvements to satisfy the user. Importance Performance Analysis is used to find the indicator that needs improvement. The Importance Performance Analysis shows that timely website information and security are the main priority for improvement.

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Section: Introductionmentioning

confidence: 69%

“…Al Dulaimi and Al Mashhadany define a good quality website as having some properties that are gainfulness, useable, available, useful, and reliable [7]. Another research also mentioned having good Information on their website and a good user experience, like its ease of use and good user interface [6], [8]- [10].…”

Section: Introductionmentioning

confidence: 98%

Measuring the Quality of Higher Education Website using Webqual Method and Importance-Performance Analysis

Effendi Muftikhali,

Satria,

Nurul Jamilah

2024

SISTEMASI

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“…DL improves the capabilities of remote and virtual learning services [5]. The virtual learning approach illustrates that such infrastructure can be used to provide a diverse array of advancements to anyone's skill set.…”

Section: Introductionmentioning

confidence: 99%

An AI-Based Classification and Recommendation System for Digital Libraries

Alomran,

Basha

2024

SCPE

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The immense volume of online content linked to digital libraries has given emergence to the advancement of screening and recommendation systems. A recommendation system is vitally important in both academic institutions and elibraries to assist professors, instructors, students, and researchers in finding appropriate sources of information. Distributed or collaborative screening is the most common method used in current recommendation systems. However, collaborative approaches cannot promote library repositories, including unrated or unpurchased electronic information. Thus, this paper deals with the automated classification and recommendation of a multiclass corpus found in virtual repositories (cloud databases). In various stages, Neuro-Fuzzy (NF) and Support Vector Machine (SVM) techniques are used as the base classifiers for the categorization of the essential subjects (contents). Later, a high-level ensemble learning strategy is utilized to recommend appropriate subjects from the available multiclass corpus. The methods use a CoC (Coherence of Content)-based inference mechanism to extract and filter the critical components before beginning the recommendation process. Experiments demonstrated that a recommended approach based on detailed conceptual descriptions instead of a handful of phrases/words might help academic and research communities to find relevant sources. Observing the results over a period of months shows that the suggested method increases user comfort, proving the system’s acceptability to users in this way. In addition, compared to previous models, the accuracy in categorizing therequisite subjects is more than 97.16 per cent.

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The paradox of technology quality and ethical concerns in building trust and behavioral intention in the AI-enabled face recognition payment

Shao,

Zhang,

Meng

et al. 2024

Electron Markets

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Website quality and users' intention to use digital libraries: Examining users’ attitudes, online co-creation experiences, and eWOM

Cited by 13 publications

References 41 publications

Measuring the Quality of Higher Education Website using Webqual Method and Importance-Performance Analysis

Measuring the Quality of Higher Education Website using Webqual Method and Importance-Performance Analysis

An AI-Based Classification and Recommendation System for Digital Libraries

The paradox of technology quality and ethical concerns in building trust and behavioral intention in the AI-enabled face recognition payment

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