Radka Bauerova, Veronika Koprivova
In today’s world, people are using digital platforms more than ever to communicate with friends, network, shop, learn and more. The average time spent on these platforms is increasing. Companies are naturally reflecting this fact in order to reach as many people as possible through these platforms and their advertising messages. However, users are constantly bombarded with advertising messages that fragment their attention. It is, therefore, important to study the effects of different types of…
How can co-institutional investors enhance the core competitiveness of enterprises? Evidence from China
Xinyong Lu, Meinong Xi
As of 2023, institutional investors hold approximately 44.1% of the total market capitalization of China’s outstanding stocks. By simultaneously investing in multiple firms within the same industry, common institutional investors gain access to broader information channels and proprietary market insights at lower search costs. As shareholder linkages become increasingly common in the capital market, understanding their impact on firm behavior is of considerable practical relevance. This study…
DOI (& full text): doi.org/10.15240/tul/001/2025-5-017
Section: Business Administration and Management
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A bibliometric overview of job demands-resources theory literature
M. Fatih Sengullendi, Enes Kurt
This study aims to provide a comprehensive overview of the literature on job demands and resources (JD-R) theory and uses bibliometric analysis. A total of 688 articles and 204 journals published in the Web of Science database are included in the analysis. The study first provides an overview based on bibliometric indicators such as publication trends, influential journals, and prominent authors. Then, the thematic structure and relationship networks of the JD-R literature are examined using…
DOI (& full text): doi.org/10.15240/tul/001/2025-5-024
Section: Business Administration and Management
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Understanding university students’ adoption of ChatGPT: A TAM-based exploration of key factors
Parul Agnihotri, Song Chen
The rapid rise of AI chatbots like ChatGPT has spurred growing interest in understanding the factors that influence their adoption, especially in educational settings. This study focuses on identifying the key elements that shape university students’ intentions to use ChatGPT, using the technology acceptance model (TAM) as the theoretical foundation. The research integrates core constructs such as perceived ease of use (PEU), perceived usefulness (PU), perceived risk, trust, and technostress to…
DOI (& full text): doi.org/10.15240/tul/001/2025-5-023
Section: Information management
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