Assessing web sites quality: A systematic literature review by text and association rules mining

By Rim Rekik, Ilhem Kallel, Jorge Casillas, Adel M. Alimi. 2018

84 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Octavio Loyola-González
2. John S. Edwards
3. Yanqing Duan
4. Yogesh Kumar Dwivedi

In Information Systems and Management

1. John S. Edwards
2. Yanqing Duan
3. Yogesh Kumar Dwivedi
4. Nripendra P. Rana
5. Ali Abdallah Alalwan
6. Kuttimani Tamilmani
7. Samuel Fosso Wamba
8. Pushp P. Patil

In Sociology and Political Science

1. Yanqing Duan
2. John S. Edwards
3. Octavio Loyola-González
4. Yogesh Kumar Dwivedi
5. Nripendra P. Rana
6. Ali Abdallah Alalwan
7. Kuttimani Tamilmani

Citations in the corpus

• Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “ment [127], assessing web sites quality [128], and exploring shipping accident contributory factors [129]; among others.”
• Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda (2019, methodology): “Some domains reflect changes in the wider world and its technology, such as the appearance of papers on website quality (Heradio, Cabrerizo, Fernández-Amorós, Herrera, & HerreraViedma, 2013; Rekik et al., 2018).”