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Informatics, Volume 11, Issue 4

December 2024 - 29 articles

Cover Story: Chatbots are widely used in the customer services context today. People using chatbots have pragmatic reasons, like checking the delivery status and refund policy. The purpose of the paper is to investigate whether the entertainment or competence of chatbots affects user experience and chatbot service quality, which influence user satisfaction and electronic word-of-mouth. It also discusses the formation of electronic word-of-mouth (eWOM) about the brand or company via chatbots because eWOM is exceptionally significant nowadays due to the rise of social media. By understanding how chatbots influence the eWOM, the brand or company can formulate its digital strategy to utilize chatbots to enhance their service quality as well as brand reputation. View this paper
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Articles (29)

  • Article
  • Open Access
5 Citations
5,573 Views
15 Pages

This paper reviews the theoretical background and potential applications of Large Language Models (LLMs) in educational processes and academic research. Utilizing a novel digital ethnographic approach, we engaged in iterative research with OpenAI&rsq...

  • Article
  • Open Access
2 Citations
5,750 Views
24 Pages

This paper presents TableExtractNet, a model that automatically finds and understands tables from scanned documents, tasks that are essential for quick use of information in many fields. This is driven by the growing need for efficient and accurate t...

  • Systematic Review
  • Open Access
4 Citations
7,600 Views
20 Pages

In-Bed Monitoring: A Systematic Review of the Evaluation of In-Bed Movements Through Bed Sensors

  • Honoria Ocagli,
  • Corrado Lanera,
  • Carlotta Borghini,
  • Noor Muhammad Khan,
  • Alessandra Casamento and
  • Dario Gregori

The growing popularity of smart beds and devices for remote healthcare monitoring is based on advances in artificial intelligence (AI) applications. This systematic review aims to evaluate and synthesize the growing literature on the use of machine l...

  • Article
  • Open Access
4,906 Views
22 Pages

Group chat socialization is increasingly central to online activities, yet design strategies to enhance this experience remain underexplored. This study builds on the Stimuli–Organism–Response (SOR) framework to examine how usability, cha...

  • Article
  • Open Access
14 Citations
19,983 Views
30 Pages

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, a...

  • Article
  • Open Access
8 Citations
4,028 Views
19 Pages

This research describes experiments using LSTM, GRU models, and a combination of both to predict floods in Semarang based on time series data. The results show that the LSTM model is superior in capturing long-term dependencies, while GRU is better i...

  • Article
  • Open Access
3 Citations
2,769 Views
20 Pages

Using Artificial Intelligence-Based Tools to Improve the Literature Review Process: Pilot Test with the Topic “Hybrid Meat Products”

  • Juana Fernández-López,
  • Fernando Borrás-Rocher,
  • Manuel Viuda-Martos and
  • José Ángel Pérez-Álvarez

Conducting a literature review is a mandatory initial stage in scientific research on a specific topic. However, this task is becoming much more complicated in certain areas (such as food science and technology) due to the huge increase in the number...

  • Review
  • Open Access
54 Citations
31,745 Views
22 Pages

Edge Computing and Cloud Computing for Internet of Things: A Review

  • Francesco Cosimo Andriulo,
  • Marco Fiore,
  • Marina Mongiello,
  • Emanuele Traversa and
  • Vera Zizzo

30 September 2024

The rapid expansion of the Internet of Things ecosystem has created an urgent need for efficient data processing and analysis technologies. This review aims to systematically examine and compare edge computing, cloud computing, and hybrid architectur...

  • Review
  • Open Access
6 Citations
7,167 Views
24 Pages

A Review on Trending Machine Learning Techniques for Type 2 Diabetes Mellitus Management

  • Panagiotis D. Petridis,
  • Aleksandra S. Kristo,
  • Angelos K. Sikalidis and
  • Ilias K. Kitsas

27 September 2024

Type 2 diabetes mellitus (T2DM) is a chronic disease characterized by elevated blood glucose levels and insulin resistance, leading to multiple organ damage with implications for quality of life and lifespan. In recent years, the rising prevalence of...

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Informatics - ISSN 2227-9709