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BELLEVUE, WA, May 21, 2017-- The Bellevue campus of the Olympia University of Business and Technology (OUBT), opens with .NET software programming training course on Saturday June 3rd. OUBT is a local (Olympia headquartered) non-profit organization offering a stellar learning and training program to individuals who want to evolve their careers and grow as part of the high paying IT industry. CodeSmart, Inc. (Olympia and Bellevue locations) is the first (of many to come) corporate sponsor of learning programs at OUBT. The instructors and mentors are current employees of CodeSmart and their facilities are going to be used for our classes.The program targeted to people who otherwise would not consider a career in the technology field. This is not to compete with 2 or 4-year college degrees but rather a quick way to gain an entry level position as a technology knowledge worker. Candidates come from all walks of life; working, unemployed, underemployed, anyone who is motivated to upgrade their career into the technology field but may not want or cannot take the time and expense for a 2 or 4-year degree. Interestingly enough current student pool ranges from women, veterans, minorities, and people who are forced into a career change by the ever-changing employment scene."Once the students matriculate form the class and achieve certification then they can be considered for a 6 months Internship with CodeSmart or one our customers. Should the candidate perform exceptionally well through internship, we have something well planned for that too", says, Mark Meyer, the President of CodeSmart and the co-founder of OUBT".Meyer goes on to explain, "After much market research, our approach provides the three bases any employer looks for in technology-worker candidates. 1. Training, 2. Validation of that training (via independent certification), 3. Work experience (gained though our internship program). We have not seen many other programs that offer the same trifecta to students."Courses/Programs to be offered in near future: .NET, JAVA. Big Data, Cloud Computing, Business Analytics, PeopleSoft development, ERP administration, DataBase Development. Classroom size: 10 to 15 students; Class hours: Weekends Saturday 10 am- 1 pm PT and weekday evenings (in Olympia and Bellevue).If you would like more information about this topic, please contact Debadutta Dash at 360-208-0560 or email at debadutta.dash@oubt.org.Founded in 2006, People Tech is an emerging leader in the Enterprise Applications and IT Services marketplace. CodeSmart has been locally owned and operated in Washington since June 2002. They provide excellence in developing custom IT solutions tailored to meet the needs of their clients.Contact:Debadutta Dash206-330-8512


Felder S.,University of Duisburg - Essen | Werblow A.,University of Business and Technology | Zweifel P.,University of Zürich
Journal of Health Economics | Year: 2010

Studies on the effect of ageing on health care expenditure (HCE) have revealed the importance of controlling for time-to-death (TTD). These studies, however, are subject to possible endogeneity if HCE influences the remaining life expectancy. This paper introduces a 10-year observation period on monthly HCE, socioeconomic characteristics and survivor status to first predict TTD and then use the predicted values as an instrument in the regression for HCE. While exogeneity of TTD has to be rejected, core results concerning the role of TTD rather than age as a determinant of HCE (the 'red herring' hypothesis) are confirmed. © 2009 Elsevier B.V.


Wand R.,University of Business and Technology | Leuthold F.,Economy Energy
Applied Energy | Year: 2011

This paper examines the potential effects of Germany's feed-in tariff policy for small roof-top solar PV systems installed between 2009 and 2030. Employing a partial equilibrium approach, we evaluate the policy by weighing the benefits from induced learning and avoided environmental externalities against the social costs of promoting residential PV. We use a dynamic optimization model that maximizes social welfare by accounting for learning-by-doing, technology diffusion, and yield-dependent demand. We find a wide range of effects on welfare, from net social costs of 2014. million. € under a " business as usual" scenario to 7586. million. € of net benefits under the positive prospects of PV's development. Whereas the " business as usual" scenario underestimates actual price reductions, the positive scenario mirrors recent price developments and feed-in tariffs in the German residential PV market. © 2011 Elsevier Ltd.


Tseng M.-L.,University of Business and Technology | Chiu A.S.F.,De La Salle University - Manila
Journal of Cleaner Production | Year: 2013

There has been an increasing interest towards firms' environmental sustainability activities to improve practices in their supply chain. Stringent environmental regulations in Europe and US challenge manufacturers to comply with these without losing their competitiveness. This study illustrates the case of a printed circuit board manufacturer in Taiwan that seeks to implement green supply chain management (GSCM) and selects a green supplier to meet its requirements. Choosing the suitable supplier is a key strategic direction in eliminating environmental impact on supply chain management for manufacturing firms. The firm's criteria and supplier selection need to be unified as a system to improve the firm's performance. This study identified the appropriate environmental and non-environmental GSCM criteria for the case firm and developed the following selection method: (i) evaluate the weights of criteria and alternatives as described both by qualitative and quantitative information; and (ii) rank alternative suppliers using a grey relational analysis. The result shows Alternative 3 ranks first among the four evaluated suppliers and demonstrated strong performance in the top three important criteria, namely, environmental management systems, profitability of supplier and relationship supplier closeness. Additionally, the perception weights on criteria itself are same as the most top five in weighted alternative. © 2010 Elsevier Ltd. All rights reserved.


Undoubtedly, no specific method exists to measure the cost of displeasure among employees due to unpleasant or non-ergonomic work conditions. Despite the financial impact of these hidden costs on organizations' performance, these types of expenses are usually ignored. The intangible costs are insubstantial and represent expenses that have no common quantity or labeled value attached to them. Estimating intangible costs related to work conditions based on stress level among employees is a technique that attempts to formulize a multidimensional relationship between input qualitative variables related to the state of work conditions or work injuries and the monetary value of the hidden costs encountered with them. This technique approaches the problem from a unique standpoint, revealing the concealed effect of the state of disorder of the production system and the stress level among employees that impact the overall efficiency. In addition, the influence of the stress level on the invisible costs of the optimal amount of labor and capital due to reduced ergonomic work conditions will be investigated over both the short run and the long run. Finally, the effect of work conditions on profit-cost-volume and the breakeven quantity will be formulated. © 2015 Elsevier Ltd.


New technologies have been recognized as key drivers for corporate profitability and growth in todays fast changing environments, especially in new materials field. However, little has been done in discussing the technology diffusion on the topic of new materials. In this study, we investigate the diffusion of advanced ceramic powders technology using patent citation data. We also adopt the sales data of the advanced ceramic powders for measuring the new material diffusion. At last we analyze the relationship between technology diffusion and material diffusion through the Bass diffusion model. The results show that the diffusion of technology through patent citation could be successfully explained by empirical analysis for which the Bass diffusion model was adopted. Furthermore, we can find out if technology diffusion can be the leading indicator of a new materials diffusion before its launching which is before the commercialization of the patent. © 2011 Elsevier Ltd. All rights reserved.


Tseng M.-L.,University of Business and Technology
Applied Soft Computing Journal | Year: 2011

This study proposes a combined fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) method using linguistic preference to deal with this study objective. This study is aimed to evaluate service quality expectation in hot spring hotel's ranking problem. This criteria ranking might be a key strategic direction of the hot spring hotels. The solving procedure is as follows, (i) the weights of criteria are described in linguistic preferences with triangular fuzzy numbers; (ii) using TOPSIS to result the ranking order for all alternatives; (iii) using DEMATEL to resolving criteria interdependency relationships weights and combine into TOPSIS method; (iv) an empirical example of hot spring hotels ranking problem to resolve with this hybrid method approach and indicates that hot spring hotel S2 (L.J. hot spring hotel) is the best selection in terms of a set of criteria. The managerial implications and conclusions are discussed. © 2011 Elsevier B.V. All rights reserved.


Tseng M.-L.,University of Business and Technology
Applied Soft Computing Journal | Year: 2011

As firms move toward environmental sustainability, management must extend managements efforts to improve environmental practices across the supply chain. The selection of a suitable green supplier according to green supply chain management criteria (GSCM) is essential for the sustainable development of manufacturing firms. The objective of this study was to select an optimal alternative in the presence of incomplete information and linguistic preferences using multiple GSCM criteria. The goal of GSCM is to reduce a firm's pollution and other environmental impacts. In the proposed method, the weights of GSCM criteria and alternatives are described using linguistic preferences that can be resolved with fuzzy set theory. Subsequently, the rank of each alternative was calculated from incomplete information by applying a grey degree. Moreover, a case study was used to resolve the proposed method, and the results and managerial implications of the analysis are discussed in detail. © 2011 Elsevier B.V. All rights reserved.


Abrell J.,University of Business and Technology
Transportation Research Part D: Transport and Environment | Year: 2010

This paper analyzes the use of market-based emission regulation instruments to address the carbon dioxide emissions of transportation. Simulations with a static multi-region computable general equilibrium model show that including transportation into the European emission trading system is superior to a closed emission trading system for transportation or a tax-based approach. Furthermore, we show that exempting transportation from emission regulation is the most favorable approach in terms of welfare. This counterintuitive result is due to a large tax-interaction effect caused by high pre-existing fuel taxes in the transport sector. © 2010 Elsevier Ltd.


Patent
University of Business and Technology | Date: 2010-05-13

A method for producing a fuel or fuel additive comprising providing a reaction mixture comprising oil and an alcohol in an oil-in-alcohol emulsion and a catalyst for converting the oil to the fuel or the fuel additive. The oil and the alcohol are reacted in the presence of the catalyst, at a concentration below that used in a conventional batch process, to produce the fuel or fuel additive. This low level of catalyst reduces the formation of diols and oxidation products that can diminish the quality of the fuel or fuel additive. The fuel or fuel additive produced is continuously removed during the reaction, effectively de-coupling the concentration of catalyst used from the rate of the two phase reaction.

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