Productivity has posed issues for global countries in terms of promoting older employment due to an emergence of questions regarding production efficiency. Individual characteristics result in varying production efficiencies, which in turn provide different levels of productivity. Taking this concern into account, we are here to examine the characteristics of older workers who provide high productivity in order to seek recommendations for fostering decent work for them. We utilized the dataset collected from the pilot service companies in Thailand who participated in a national initiative program for employing older people. A total of 204 older workers and their characters were then observed. Those characters were analyzed by the Generalized Ordered Logit Regression (gologit) model. Empirical findings indicate that allocating work that is related to communication and coordination to older workers would enhance odd ratio of their productivity by as much as 4.79 times compared to general tasks. Furthermore, employing older individuals on a part-time basis tends to generate higher-level productivity than full-time employment. We also found that gender and age differences have no significant effect on productivity in the service sector as people age, and factors related to types of employment, education, health, and financial status are also a precise determinant for the productivity of older workers. This would suggest that the work design for the older workers must be in line with the aforementioned determinants. In addition, the government initiatives utilizing key findings from this study to boost older workers’ productivity should give priority on tax incentives, promoting and advocating for employment equality, and vocationalization programs.
Transitioning the automotive industry from internal combustion engines (ICE) to electric vehicles (EV) has arisen as a critical challenge for global countries in achieving human resource development, owing to the need of new labor skills and replacement of automation systems. By applying a case study of Thailand’s automotive industry in response to this challenge, we aimed to plot out the trajectory of changes involved in the industry’s workforce during its transition with a central focus on Small and Medium-sized Enterprises (SMEs), in order to make sound suggestions to the government on how to build an effective policy for industry growth. An exploratory research design was adopted for the investigation. Both primary and secondary sources were collected. Interviews with key stakeholders, including official agencies, organizations in the business sector, and academic institutions, were conducted in a semi-structured format to collect as primary data. Meanwhile, secondary data were gathered from reports and other scholarly contributions that are relevant. All of the data that were collected were subjected to qualitative methods of analysis, including content and theme analysis. We found that the advances in technology and associated skills have posed challenges to the SMEs for the workforce relocations in terms of occupational shifts and skill development, with engineering demand potentially growing 10% while low labor skills declined by nearly 70%. We emphasized that without effective policies for establishing EV roadmap and coordination practices between public and private stakeholders, this transition would have a detrimental effect on the workforce development of SMEs, which would ultimately have a harmful impact on the automotive industry and the economy.
There is an increasing number of older adults being encouraged to come back to the workforce in search of better financial security in their later years. At the same time, the job market nowadays has increasingly depended on technology to recruit new workers, especially in Smart Cities, a concept that has been recently introduced to developing countries. As a result, the use of the Internet for job searches has become increasingly important for older adults living in urban environments, especially those with limited resources. However, there has not been an in-depth paper exploring the various factors that may affect the older population’s ability to use this new development to their advantage. This study offered a closer look at the social and economic factors that influence acceptance of using the Internet to look for a job among older urban poor in Thailand. By understanding the influences that shape their attitudes and behaviors towards online job searches, it is then possible to guide the development of Smart Cities and offer better assistance to older adults who wish to use the Internet for employment opportunities. We applied a logit regression model on data collected from individuals aged pre-retirement and retirement (n = 1505) in two Thai cities with significantly different economic development levels. The results showed that gender, religion, family arrangement, and income had a significant impact on older adults’ online job search activities, especially when it came to women, people of the Islamic faith, people living with partners, and high-income individuals. Urban planners are recommended to take these aforementioned factors into account while formulating the Smart Cities development plan.
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