Evaluation of the Effect of Knowledge Management Process on Human Resource Productivity
Mohammad Naderi Moghaddam,
Sajjad Habibian,
Farhad Hadinejad
Issue:
Volume 2, Issue 4, August 2017
Pages:
59-65
Received:
28 May 2017
Accepted:
19 June 2017
Published:
20 July 2017
Abstract: The main purpose of this research is to examine the impact of knowledge management processes on human resource productivity. Knowledge management processes included knowledge acquisition, creation, storage, distribution and application, in addition the human resource productivity included twofold of productivity such as; effectiveness and efficiency. This research is a correlate on al research and is concerns about finding relationship between variables. The population includes all the employees in Tehran channel of the Islamic Republic of Iran Broadcasting and 185 subjects were selected as sample using Cochran sampling method. Data were collected by two questionnaires. To testing the hypotheses, correlation test and regression analysis were used. The results showed that the distribution and application of knowledge plays important role in the productivity of human resources. The stages of knowledge acquisition, creation and storage of knowledge have little to do with performance. This result is reasonable, because acquisition, creation and storage of knowledge are the previous stages for involving people in the organization but the role of people has become more tangible and has a positive influence on human resource productivity. The variance was calculated for each component of the study using ANOVA between groups and within groups. The test results indicate that all components of research in different educational levels did not differ.
Abstract: The main purpose of this research is to examine the impact of knowledge management processes on human resource productivity. Knowledge management processes included knowledge acquisition, creation, storage, distribution and application, in addition the human resource productivity included twofold of productivity such as; effectiveness and efficienc...
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Highly Sensitive MEMS Based Capacitive Pressure Sensor Design Using COMSOL Multiphysics & Its Application in Lubricating System
Issue:
Volume 2, Issue 4, August 2017
Pages:
66-71
Received:
28 May 2017
Accepted:
6 June 2017
Published:
11 August 2017
Abstract: Capacitive pressure sensors are making themselves the leader among its market competitors since they consume less power with less temperature sensitivity. This paper includes the design and development possibilities to increase the sensor sensitivity by optimizing the device dimension and including different types of materials. The figure of merits (FOMs) such as displacement, capacitance, electric potential with variation in temperature and pressure are thoroughly analyzed. This paper includes the unique developments, possible challenges with respect to design, modelling, simulation and analysis of MEMS based capacitive pressure sensors. As the range of application level of different sensors is increasing, it is indispensable to review the technological advancement and future possibilities of MEMS capacitive pressure sensors. This paper also focuses on the available reviews of various types of capacitive pressure sensor principles, geometrical design; physics based modelling, parameters analysis to consider, materials that can be used in fabrication process. The 3-D simulation is performed using COMSOL Multiphysics 5.0. During device development all the standards are followed according to the simulation standard set by COMSOL.
Abstract: Capacitive pressure sensors are making themselves the leader among its market competitors since they consume less power with less temperature sensitivity. This paper includes the design and development possibilities to increase the sensor sensitivity by optimizing the device dimension and including different types of materials. The figure of merits...
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