EMPLOYEES’ ATTITUDES TOWARD ORGANIZATIONAL CITIZENSHIP BEHAVIOR ORGANIZATIONAL KNOWLEDGE MANAGEMENT AND WORK PERFORMANCE IN THE ARTIFICIAL INTELLIGENCE ERA: A CASE STUDY OF THE ELECTRONICS INDUSTRY IN BANGKOK AND THE METROPOLITAN REGION
Abstract
This research aimed to examine the levels of organizational citizenship behavior, organizational knowledge management, and employee work performance in the artificial intelligence era: a case study of the electronics industry in Bangkok and its metropolitan region. This study employed a quantitative research methodology. The sample consisted of 400 employees working in the electronics industry in Bangkok and its metropolitan region, selected through quota sampling and convenience sampling. The research instrument was a questionnaire. Data were analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation. The results revealed that: 1) organizational citizenship behavior was at a high level overall (M = 3.76, S.D. = 0.81), with conscientiousness receiving the highest mean score and altruism the lowest; 2) organizational knowledge management was at a high level overall (M = 3.74, S.D. = 0.81), with knowledge transfer and sharing receiving the highest mean score and knowledge creation the lowest; and 3) employee work performance was at a high level overall (M = 3.74, S.D. = 0.82), with cost receiving the highest mean score, while quality of work and quantity of work received the lowest. These findings are beneficial to entrepreneurs and relevant agencies in formulating policies to promote organizational citizenship behavior, develop knowledge management systems, and enhance employees' artificial intelligence skills in order to improve Work Performance and strengthen the competitiveness of Thailand's electronics industry.
Keywords: Organizational Citizenship Behavior, Organizational Knowledge Management, Work Performance, Artificial Intelligence, Electronics Industry
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.


