Suwunnamek, Opal
Loading...
2 results
Now showing 1 - 2 of 2
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Determinants of Thai information and communication technology organization performance: A structural equation model analysis(2019-01-01) ;Kiatsuranon, KittiThailand 4.0 has awoken many to the information and communication technology (ICT) human resource needs in academic institutions, in research facilities, and industry. To support this, the government has targeted USD 1 billion to train 12,290 research PhDs to serve in 10 key industrial sectors over the next 20 years. The Thai ICT sector that is required to support these goals however has been constantly identi? ed as signi? cantly lacking the skills, knowledge, and expertise to meet the needs of a 21st century, knowledge-based economy. This study, therefore, set out to identify the key variables required to support an ICT organization’s performance. By use of a structural equation model and the PLS Graph software, analysis was performed on the interrelationships of the identi? ed latent variables consisting of knowledge management, human resource management systems, employee competency, and ICT organization performance. The results from the analysis indicated that the human resource management system in an organization is the most important factor, with knowledge management and employee competency of secondary importance to ICT organization performance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How intellectual capital, knowledge management, and the business environment affect thailand’s food industry innovation(2018-01-01) ;Yaklai, Pimsara; In 2015, Thailand employed nearly 11% of the population in agriculture, which has always been a stable and prosperous component of the economy. Having a rich natural abundance of resources, combined with significant investments in technology, food safety, and research and development (R&D) have helped contribute to Thailand being labeled as “Kitchen of the World.” Given these priorities, stratified sampling was employed to select 246 individuals from the target population. Confirmatory factor analysis was used, followed by a structural equation model to analyze how intellectual capital, knowledge management, and the business environment affect innovation in Thailand’s entrepreneurial food industry. The research survey was conducted using a questionnaire which contained a 7-level Likert type agreement scale. Results from the study revealed that the food industry’s knowledge management capability was the most important factor (0.60), which was also influenced directly by the organization’s intellectual capital (0.44). Of lesser importance was intellectual capital (0.39) and the business environment (0.39).
