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  1. Dawal SZ, Taha Z
    J Hum Ergol (Tokyo), 2007 Dec;36(2):63-8.
    PMID: 18572797 DOI: 10.11183/jhe1972.36.2_63
    A methodology is developed in diagnosing the effect of job organizational factors on job satisfaction in two automotive industries in Malaysia. One hundred and seventy male subjects of age 18-40 years with the mean age of 26.8 and standard deviation (SD) of 5.3 years and the mean work experience of 6.5 years and SD of 4.9 years took part in the study. Five job organizational factors were tested in the study including job rotation, work method, training, problem solving and goal setting. A job organization questionnaire was designed and was based on respondents' perception in relation to job satisfaction. The results showed that job organization factors were significantly related to job satisfaction. Job rotation, work method, training and goal setting showed strong correlation with job satisfaction while problem solving had intermediate correlation in the first automotive industry. On the other hand, most job organization factors showed intermediate correlation with job satisfaction in the second automotive industry except the training factor which had low correlation with job satisfaction. These results highlight that job rotation, work methods, problem solving and goal setting are outstanding factors in the study of job satisfaction for automotive industries.
    Matched MeSH terms: Personnel Management/methods
  2. Alam MG, Masum AK, Beh LS, Hong CS
    PLoS One, 2016;11(8):e0160366.
    PMID: 27494334 DOI: 10.1371/journal.pone.0160366
    The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption decisions in hospitals. Employing non-probability sampling method, a total of 550 copies of structured questionnaires were distributed among HR executives of 92 private hospitals in Bangladesh. Among the respondents, usable questionnaires were 383 that suggesting a valid response rate of 69.63%. We classify the sample into 3 core groups based on the HRIS initial implementation, namely adopters, prospectors, and laggards. The obtained results specify 5 most critical factors i.e. IT infrastructure, top management support, IT capabilities of staff, perceived cost, and competitive pressure. Moreover, the most significant dimension is technological dimension followed by organisational, human, and environmental among the proposed 4 dimensions. Lastly, the study found existence of significant differences in all factors across different adopting groups. The study results also expose constructive proposals to researchers, hospitals, and the government to enhance the likelihood of adopting HRIS. The present study has important implications in understanding HRIS implementation in developing countries.
    Matched MeSH terms: Personnel Management/methods*
  3. Khoo S, Engelhorn R
    Adapt Phys Activ Q, 2011 Jan;28(1):27-39.
    PMID: 21282846
    Understanding the motivations for people to volunteer with the management and execution of major sporting events is important for the recruitment and retention of the volunteers. This research investigated volunteer motivations at the first National Special Olympics held in Ames, Iowa, USA in July 2006. A total of 289 participants completed the 28 item Special Event Volunteer Motivation Scale. The top motivations related to the purposive incentives of wanting to help make the event a success and to do something good for the community. Factor analysis revealed a five-factor model, with the altruistic factor (purposive) being the most important. A MANCOVA was also used to compare subjects using both gender and experience as independent variables. Small but significant differences in motivation were observed.
    Matched MeSH terms: Personnel Management/methods*
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