• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.481-485
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• 2015

Indonesian construction companies are currently facing high competition both among themselves and with global construction companies. In order to address this issue, the Government of Indonesia has enacted specific regulations and policies relating to the development and implementation of quality management systems (QMSs) ISO 9001 based in construction, acknowledging that the consistency of construction project quality requires a formal quality system as a guarantee to raise quality standards at all project stages. The research has been undertaken to examine the effectiveness of the regulations and policies against several key performance indicators (KPIs) of the ISO 9001 Indonesian construction companies. A comprehensive review of the relevant regulations and policies together with interviews with the Government and National Construction Services Development Board recommend possible additional guidelines and supporting quality system, which intends to measure contractors' project output against defined standards as well as to assess their performance among other similar service providers. The outcomes of the research contribute to the development of the Indonesian own construction industry quality measurement and assessment system.

• Safety and Health at Work
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• 제11권4호
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• pp.431-442
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• 2020

Background: Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001: 2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. Methods: The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. Results: The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. Conclusion: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management.