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    Social support during COVID-19: Exploring the psychometric properties of the PSS-JSAS and its relationship with job search activities
    (2023-02-01)
    Mehta, Poonam
    ;
    Garg, Naval
    ;
    Gharib, Moaz
    ;
    Mehak
    ;
    Pimpunchat, Busayamas
    The COVID-19 pandemic has highlighted the importance of social support for everyone. Supports from relatives, neighbors, and friends are more significant for a job seeker, especially during the pandemic. Accordingly, the present study explored the psychometric properties of the Perceived Social Support for Job Search Activities Scale (PSS-JSAS) in the Indian context with the help of two independent samples. First sample of 518 respondents was randomly divided into two subsamples using the random case selection feature in the statistical package for social sciences (SPSS). The exploratory factor analysis (EFA) was performed on the first subsample, which yielded a one-factor model explaining 47.23% of variations. The confirmatory factor analysis (CFA) conducted on the second subsample concluded a good model fit of PSS-JSAS. In the second sample, Cronbach's alpha and composite reliability values (greater than 0.70) established the scale's reliability. Results also revealed that the correlation coefficients between PSS-JSAS score, hope, self-efficacy, resilience, and optimism were 0.470, 0.552, 0.621, and 0.5 at p < 0.01. It also revealed a negative association with job search anxiety scores (r = −0.549, p < 0.01). Thus, PSS-JSAS was positively associated with PsyCap and negatively correlated with job search anxiety behaviors. It concluded the criterion validity of PSS-JSAS in the Indian context. Multigroup factor analysis concludes that the scale is equally valid for both Indian males and females. Hence, results reported adequate reliability and validity of the scale in the Indian context. These findings will encourage future researchers to investigate the phenomena of social support in the job search.
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    How intellectual capital, knowledge management, and the business environment affect thailand’s food industry innovation
    (2018-01-01)
    Yaklai, Pimsara
    ;
    Suwunnamek, Opal
    ;
    Srinuan, Chalita
    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).
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    A Thai banking industry organisational performance analysis
    (2017-01-01)
    Pranee, Tasanai
    ;
    Napompech, Kulkanya
    ;
    Srinuan, Chalita
    The purpose of this research is to determine the effects of talent management, technological innovation and service quality on Thai bank performance. The population of the study consisted of 14 registered banking enterprises along with their associated 2068 branches. Using the IBM Statistical Package for the Social Sciences (SPSS v.21), 424 responses selected from a simple random sampling survey were analysed using both a secondorder confirmatory factor analysis (CFA) and structural equation modelling (SEM). From the 93-item survey, pre-trail test, and the in-depth interviews from five experts, a questionnaire reliability score of 0.98 was obtained. Findings revealed that technological innovation and service quality strongly influence the Thai banking industry's performance, and should be given great attention.
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    Green supply chain management performance within the Thai hotel industry: A structural equation model
    (2017-01-01)
    Pratyameteetham, Thapanaphat
    ;
    Atthirawong, Walailak
    This research used first and second order confirmatory factor analysis and structural equation modelling with AMOS 21 software to analyse green supply chain management (GSCM) performance within Thailand's 3-star, 4-star, and 5-star hotel industry. The final sample of 325 managers revealed that service users, suppliers, and green practices have a direct influence on the Thai hotel industry's GSCM performance. Further, it was found that the same drivers had an indirect impact on GSCM performance through service users. Also, competitors, laws, and environmental adherence have an indirect influence through suppliers. It was also determined that positive financial results can be obtained when hoteliers adjust their practices to conform to green supply chain concepts. Hoteliers should also establish networks of green hotels, while also implementing the 3Rs of reuse, reduce, and recycle. Hoteliers should also focus on using green energy, establishing green attitudes, and raising awareness amongst staff through green environment workshops.
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    Bangkok's mass rapid transit system's commuter decision-making process in using integrated smartcards
    (2016-01-01)
    Kaewwongwattana, Peerakan
    ;
    Panjakajornsak, Vinai
    ;
    Pimdee, Paitoon
    This paper studied the decision-making process to use an integrated smartcard ticketing system by Bangkok metropolitan transit commuters. A second-order Confirmatory Factor Analysis using LISREL 9.10 was undertaken on Bangkok commuter's decision-making process on the use of an integrated smartcard system. The sample consisted of 300 Bangkok commuters obtained by accidental sampling using questionnaires with a 5-point Likert scale. The tools in the research questionnaires used scale estimation that achieved a confidence value of 0.84. The research instruments used rating scales measuring information search, alternative choices, and use decision on the 15 variables in the decision-making process which had factor loadings between 0.49 and 0.89 weight elements when sorted in descending order and overall had a high level. Use decision, alternative choices and information search had a factor of 0.89, 0.65 and 0.49, respectively. There was a good fit of the decision-making model to the empirical data (chi-square = 34.55, probability (p) = 0.94, df = 49, RMSEA = 0.00, GFI = 0.98, AGFI = 0.96, SRMR = 0.04).