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akaturk Academic measurement

Article detail · 2024

Interactive model of government websites based on decision tree analysis and web quality 4.0

Journal

Journal of Governance and Regulation

ISSN 2220-9352

YÖKSİS OpenAlex Open access · diamond SJR Q4 Citations 1 Percentile 75.7% FWCI 0.66
Year
2024
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Journal of Governance and Regulation
  • Catalog match (ISSN) Journal of Governance and Regulation
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

English (OpenAlex)

Government websites are important for providing citizens access to vital public information. However, many government websites are not well-designed, difficult to navigate, even out-of-date, and insufficient in providing information and interactive channels. Based on previous studies, website development often fails because it is oriented toward implementing a mandate without evaluating the website traffic and visitors. The evaluation process of e-government websites is essential for developing the performance and quality of the websites (Lee-Geiller & Lee, 2019). This study aims to evaluate the quality of Indonesian local governments. This study used a quantitative approach with a web quality 4.0 (WebQual 4.0) instrument for assessing the quality of websites. WebQual 4.0 consists of three components: usability design, information quality, and interaction services. Data were analyzed using decision tree techniques. The main finding of the study is that not all WebQual 4.0 components affect the number of visitors. The interaction service component is the most influential factor. The results suggest a website paradigm that focuses on visitors’ interaction. Visitors should feel they are well-served and engaged when using a website. This approach of interactive websites can employ popular social media platforms to offer real-time visitor interaction.

Topics

  • Data Mining and Machine Learning Applications

Primary topic Data Mining and Machine Learning Applications

Authors

  1. Ali Rokhman
  2. PINAR ÇÖMEZ DÜZCE ÜNİVERSİTESİ
  3. Slamet Rosyadi