63,297 research outputs found

    Development of predicting model for safety behaviour based on safety psychology and working environment

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    The increasing trend of occupational accident due to unsafe act and unsafe condition especially in construction site suggests the need for more proactive safety assessment model. Therefore this research aimed to establish a prediction model of safety behaviour based on safety psychology and working environment factors in construction site. Theory of Planned Behaviour (TpB) was adapted to examine on the prediction model of safety behaviour among construction workers using safety psychology representing unsafe act and working environment factors representing unsafe condition. A modified perception questionnaire named Safety Psychometric Model (SPM) was proposed based on TpB questionnaire and safety attitude questionnaire (SQA). Previously, the approach has successfully applied in health care and manufacturing sector. The questionnaire has been validated by three industrial and academic experts. A total of 554 respondents among 92 construction site were selected as the subjects for analysis. Structural Equation Modelling (SEM) and Statistical Package for the Social Science (SPSS) was use for analysis purpose which involve correlation, regression and structural equation analysis. The results demonstrated that safety psychology and work environment factor was related positively with safety behaviour intention. The elements of workers’ attitude, subjective norm and perceived control that form the safety psychology context found to be significantly has the ability to predict safety behaviour. The demographics variances of personal and education background, working experiences and training background also determine as the factors of safety behaviour of the construction workers. The research also successfully established a safety behaviour prediction model that named Safety Psychometric Model. The model can be benefited by safety practitioners, organizations and researchers to explore the safety behaviour prediction. It also enhanced the knowledge in the area of employee behaviour prediction and modelling

    Understanding best practices in control engineering education using the concept of TPACK

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    This study aimed to design an integrated pedagogical approach to advance introductory Process Control Engineering Education through the application of the Technological Pedagogical Content Knowledge (TPACK) framework, and evaluating its impact on student learning. The research is initially being undertaken at Nottingham Trent University, UK but we will next adapt it to a case study in Libya. This paper aims to strengthen the teaching of introductory Process Control by using appropriate approach es in universities to improve the learning outcomes for students. From this work a new schematic for teaching Process Control ha s be en developed and, moreover, a thoughtful best practice in introducing Process Control in engineering education can be developed

    The complex interaction between Global Production Networks, Digital Information Systems and International Knowledge Transfers

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    Traditionally many studies of knowledge in economics have focused on localized networks and intra-regional collaborations. However, the rising frequency by which firms collaborate within the context of global networks of production and innovation, the increasingly intricate divisions of labor involved and the extensive use of the Internet to facilitate interaction are all relatively novel trends that underline the importance of knowledge creation and flows across different locations. Focusing on this topic, the present chapter examines the complex interactions between global production networks (GPN), digital information systems (DIS) and knowledge transfers in information technology industries. It seeks to disentangle the various conduits through which different kinds of knowledge are transferred within such networks, and investigate how recent generations of DIS are affecting those knowledge transfers. The paper concludes that the dual expansion of GPN and DIS is adding new complexity to the practice of innovation: To access knowledge necessary for sustained creativity firms often have to link up with remote partners in GPN, but to be able to absorb and utilize this knowledge, they also frequently have to engage in local interactive learning processes. These local- global linkages - and the various skills necessary to operate them - are strongly interdependent, mutually reinforcing and critical for the development and maintenance of innovation-based competitiveness.

    Beyond the Big Leave: The Future of U.S. Automotive Human Resources

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    Based on industry interviews and trends analyses, forecasts employment levels and hiring nationwide and in Michigan through 2016, and compiles automakers' input on technical needs, hiring criteria, and suggestions for training and education curricula

    Active learning based laboratory towards engineering education 4.0

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    Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version
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