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        R&D, training and accessibility to finance for innovation: a case of Vietnam, the country in transition

        Kim Won Joong,Hoi Tran Viet,Tuan La Ngoc,Trung Nguyen Ngoc 기술경영경제학회 2019 ASIAN JOURNAL OF TECHNOLOGY INNOVATION Vol.27 No.2

        Innovation is consulted a very important activity for any firm and organization especially for business units in a transitional country. By using a binary logistic regression with Vietnam Enterprise Surveys data from World Bank project, this research finds that R&D played a vital role in encouraging innovative activities. Moreover, formal training within businesses has very strong and significant effects on all four different measures of innovation. What's more is that if a manager has experience of 5 or 15 in years in comparison with longer years of experience, marginal effects to probability of occurrence for organizational innovation likely come into being higher. Interestingly, higher obstacles for accessing to financial resources do not reduce innovative level but it does get business units have higher propensity to marketing innovation.

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        Application of Bat algorithm for Improvement of Surface Integrity in Turning of AISI 304 Austenitic Stainless Steel

        Bong Pham Van,Hoi Tran Viet Korean Society for Precision Engineering 2021 한국정밀공학회지 Vol.38 No.4

        Improving product quality is a crucial factor in determining the competitiveness and business efficiency of enterprises. This study investigates the influence of the cutting parameters, including the cutting speed, the depth of cut, and the feed rate on the surface roughness and the residual stress during the turning of AISI 304 austenitic stainless steel. Moreover, the work aims to determine optimal cutting parameters to satisfy both surface roughness and residual stress requirements. The mathematical model of the relationship between the machining parameters and the performance characteristics was formulated based on the response surface methodology (RSM) and the Box-Behnken design of the experiments. Pareto optimal solution applying natural-inspired algorithm (Bat Algorithm) is proposed to solve the bi-objective optimization problem to obtain the lowest surface roughness and minimal residual stress. The optimum cutting parameters selected by the manufacturing planners from the Pareto optimal fronts are calculated to comply with the production requirements.

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