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Purpose: Workplace Health Promotion (WHP) has been indicated not only beneficial for occupational disease and injury prevention but increase health productivity; however, WHP needs among workers may significantly vary by age1-3. Therefore, this study examines age differences in WHP needs to provide empirical evidence for future trend of aging workforce in Taiwan. Method: During July 2013, by conducting a self-administered questionnaire survey in a company of accommodation and catering industry in Taipei, a total of 310 effective questionnaires from employees aged from 20 to 65 were collected (return rate 90%). Subjects were asked to provide information regarding demographic/work background, physical/mental health conditions and lifestyle behaviors, occupational injury and burnout occurrence, workplace stressors, and stress-related presenteeism. In addition, 4 young/senior employees and supervisors were invited to participate in in-depth interviews. Results & Discussion As shown in Table 1, compared with younger workers, seniors reported higher percentage of cardiovascular discomfort but more positive health behaviors such as fewer smoking, more regular exercise and dietary. Younger workers experienced more occupational injuries, burnout, mental disturbance and presenteeism, but better adaptability to new information systems or technology importation. After adjustment for gender and employment grades, the above patterns remain similar (Table 2). Results from qualitative interviews showed that design of WHP programs should be tailored to respond to the needs of the respective individuals. This study suggests that elder workers need to make appropriate work arrangements to control or improve physical symptoms, management strategies to tackle difficulties of learning computerapplication are also needed. On the contrary, younger workers need more assistance and guidance to maintain positive life styles. This study has practical implications for management4 and WHP practitioners3.

Hu S.-K.,No.1 | Lu M.-T.,Commerce Development Research Institute | Tzeng G.-H.,University Road
iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest | Year: 2014

As mobile commerce (m-commerce) has continued to grow via the advancement in wireless and mobile technology, the issue of m-commerce has become significant. To promote mcommerce adoption, companies should establish a perfect mcommerce environment and try to understand customers' needs. This paper proposes a m-commerce evaluation model that could explore m-commerce adoption for uncertain information environment. The model can address the interdependence and feedback effects between criteria and dimensions by using a new hybrid fuzzy MCDM model, which combining the fuzzy DEMATEL technique, fuzzy DANP and fuzzy VIKOR methods. Furthermore, an empirical case of evaluating m-commerce adoption is used to verify the proposed model. © 2014 IEEE.

Wang A.-M.,Commerce Development Research Institute
Urban Studies | Year: 2016

Both ‘spatial skewness’ in population sizes, incomes and house prices and ‘agglomeration economies’ are important features in many countries. This paper uses a solvable core-periphery model capturing the two features to specify a market-induced housing boom under the condition of a fixed or very inelastic housing supply. Two main insights emerge from our analysis. First, there exists a rising gap of housing rent to income ratio between two regions. Second, the growth rate of housing rents is higher than that of incomes during an endogenous agglomeration process. These results help us to realise that strong housing booms only take place in a few large cities or metropolitan areas stemming from a homogeneous economy. © 2015, © Urban Studies Journal Limited 2015.

Hsiao Y.-T.,Commerce Development Research Institute | Lee W.-P.,National Sun Yat - sen University
BMC Bioinformatics | Year: 2014

Background: To infer gene regulatory networks from time series gene profiles, two important tasks that are related to biological systems must be undertaken. One task is to determine a valid network structure that has topological properties that can influence the network dynamics profoundly. The other task is to optimize the network parameters to minimize the accumulated discrepancy between the gene expression data and the values produced by the inferred network model. Though the above two tasks must be conducted simultaneously, most existing work addresses only one of the tasks. Results: We propose an iterative approach that couples parameter identification and parameter optimization techniques, to address the two tasks simultaneously during network inference. This approach first identifies the most influential parameters against internal perturbations; this identification is based on sensitivity measurements. Then, a hybrid GA-PSO optimization method infers parameters in accordance with their criticalities. The proposed approach has been applied to several datasets, including subsets of the SOS DNA repair system in E. coli, the Rat central nervous system (CNS), and the protein glycosylation system of yeast S. cerevisiae. The result and analysis show that our approach can infer solutions to satisfy both the requirements of network structure and network behavior. Conclusions: Network structure is an important though challenging issue to address in inferring sophisticated networks with biological details. In need of prior structural knowledge, we turn to measure parameter sensitivity instead to account for the network structure in an indirect way. By developing an integrated approach for considering both the network structure and behavior in the inference process, we can successfully infer critical gene interactions as well as valid time expression profiles. © 2014 Hsiao and Lee.

Hu S.-K.,Kainan University | Lu M.-T.,Commerce Development Research Institute | Tzeng G.-H.,National Taipei University
International Journal of Fuzzy Systems | Year: 2015

As mobile commerce (m-commerce) has continued to grow via advancements in wireless and mobile technology, the issue of m-commerce has become more significant. To improve m-commerce adoption, companies should establish a perfect m-commerce environment and learn to understand consumer needs. This paper proposes an evaluation model for m-commerce that can explore and improve m-commerce adoption for uncertain information in a fuzzy environment. The model addresses the interdependence and feedback effects between criteria or dimensions, the best alternative selection and systematic improvement by adopting a new hybrid fuzzy MADM model, which uses the fuzzy DEMATEL technique to construct the fuzzy INRM and determine the fuzzy influential weights using the fuzzy DANP. It further combines the fuzzy VIKOR methods for creating the best improvement plan based on the fuzzy INRM. An empirical case for evaluating m-commerce adoption is used to verify the proposed planning model. The results reveal that the proposed planning model can help companies improve m-commerce adoption for enhancing consumer trust via integrity. © 2015 Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg.

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