This research aimed to 1) evaluate the demographic characteristics, economic, social, and environmental conditions, and characteristics of the senior people in Ranong province, 2) discover the most relevant work characteristic factors for the older persons, and 3) propose appropriate work characteristics model for older people to improve quality of life. This mixed-methods research, for the quantitative part, utilizes the techniques of MRA & CFA with a sample size of 378 individuals, and for the qualitative part, utilizes a documentary study, in-depth interviews with 19 key informants, and a focus group of 17 individuals. The quantitative data were analyzed using a statistical package for the social sciences (SPSS), and content and categorization analysis with a triangulation verification were used for qualitative data. The results showed that: 1) Ranong province is blessed with rich resources, having minerals that can generate income for the province, life-long learning is given priority in senior school to enhance knowledge and necessary life skills, 2) from the regression analysis, the six predicted work characteristic factors; physical, emotional, autonomous, resistant, low-technology and safety were found relevant with statistically significant at 0.05, and the CFA consistency indices also withstood with the six dimensions above, 3) the appropriate work characteristics is articulated in the form of PEARLS model where physical, emotional, autonomous, resistant, low-technology and safety dimensions are the key.

Purpose: This study focuses on the effects of electronic-Human Resource Management (e-HRM) on organizational consequences. In this analysis, the effects of different configurations are assessed within the same socio-economic context. Design/Methodology: This study adopts a cross-sectional survey of e-HRM actors, such as human resource managers, IT professionals, and line managers. The data analysis was conducted using linear regression. A sample of 300 respondents was selected based on Gill et al.’s framework for obtaining a representative sample. Findings: ‘Integrated e-HRM configurations’ employed in multinational corporations (MNCs) generate positive and improved operational, relational, and transformational consequences or outcomes. In small-to-medium-sized organizations, the operational-user configuration exhibits positive but lower operational, relational, and transformational consequences. However, the socio-economic variables used to categorize e-HRM configurations do not apply in a developing economy context. Practical implications: The application of information technology in HRM is not the sole predictor of organizational consequences. The sophistication of the adopted e-HRM system deserves some consideration too. When managers adopt sophisticated e-HRM systems, they are likely to achieve positive and improved outcomes. More predictor variables need to be uncovered for an elaborate categorization of effective e-HRM configurations. Originality/value: The contextual factors that define effective e-HRM configurations are not consistent across different socio-economic contexts. Company-based categorization of effective configurations is advisable. This study establishes the limitations of current categorization variables in explaining effective e-HRM systems.