Keerativutisest, Vasu

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Keerativutisest, Vasu
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Email
vasu.ke@kmitl.ac.th

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    Item type:Publication,
    DETERMINANTS OF AI-BASED APPLICATIONS ADOPTION IN THE AGRICULTURAL SECTOR – MULTI-GROUP ANALYSIS
    (2024-01-01)
    Keerativutisest, Vasu
    ;
    Chaiyasoonthorn, Wornchanok
    ;
    Khalid, Bilal
    ;
    Ślusarczyk, Beata
    ;
    Chaveesuk, Singha
    This research investigated the factors determining the adoption of AI-based applications in Thailand and Poland’s agricultural sectors. The study explored the sector’s adoption of AI technology and its contributions to driving the market and business performance. Despite the potential of AI in the agricultural sector, its adoption rate still needs to be clarified, and its potential needs to be better understood, hence the need for the study. The research applied primary data collected from respondents working in the agricultural sector in Thailand and Poland using a structured questionnaire. A sample of 356 and 377 respondents were representative samples in Thailand and Poland, respectively. The research was driven by the hypotheses evaluated using the Structural Equation Model (SEM). The findings indicated that organizational size was the most influential determinant of AI-based applications in both countries. Another significant determinant was technological competence in both countries. Additionally, social influence was a significant determinant in Thailand, while facilitating conditions and effort expectancy were significant determinants in Poland. The multi-group analysis revealed that the two countries were not invariant; hence, the effect of independent variables on behavioral intention to adopt AI between the two countries was different. The research recommended that each country’s policymakers consider its contexts differently in AI-based application adoption policies. However, improving the organizational size and technological competence would enhance the adoption of AI-based applications across the board.
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    Item type:Publication,
    Corporate Social Responsibility and Financial Performance in the Chinese Pharmaceutical Sector: The Roles of Technological Innovation and Media Coverage
    (2025-04-01)
    Wang, Jin
    ;
    Chaveesuk, Singha
    ;
    Keerativutisest, Vasu
    The pharmaceutical industry has been developing rapidly in recent years, and concerns have been widely raised about social responsibility for the safety of people’s lives. This research aims to investigate the impact of CSR on CFP of listed pharmaceutical companies in China. This study was based on the data of pharmaceutical listed companies from 2010 to 2020 as a sample and built regression models for the effects of pharmaceutical corporate social responsibility (CSR) on corporate financial performance (CFP) based on the indirect effects of technological innovation and media coverage. The two-way fixed effect method, the systematic generalized method of moments estimation (SYS-GMM), and the Bootstrap method are adopted for the regression analysis of the model. The research found that (1) CSR positively affected CFP; (2) CSR positively affected technological innovation, while technological innovation partially mediated between CSR and CFP; and (3) both positive and negative media coverage negatively moderated the relationship between CSR and CFP as well as the relationship between CSR and technological innovation. In addition, both positive and negative media coverage negatively moderates the mediation path of “CSR–corporate innovation–CFP”.