• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.8
• /
• pp.407-417
• /
• 2020

Entrepreneurship has become an important topic for governments to shape and influence the quantity and quality of entrepreneurship and improve policy toward the entrepreneurial economy. This study investigates the factors affecting the entrepreneurial decision of nascent entrepreneurs belonging to Generation Y in Vietnam. A mixed-method including both qualitative and quantitative methodologies was utilized. A focus group was carried out with 11 participants for exploring, reviewing, and testing content validity of constructs and measurement items. The conceptual model and hypotheses were developed using data collected by a questionnaire survey. The cross-sectional survey method was applied. A sample of 221 respondents was constituted, by both electronic and paper surveys with non-probability and convenience sampling techniques. SmartPLS 3 software was employed to analyze the data collected. The results show that nine factors were affecting the entrepreneurial decision of nascent entrepreneurs belonging to Generation Y in Vietnam, including entrepreneurial education, family background, entrepreneurial ecosystem, perceived behavioral control, social valuation, perceived opportunity, attitude, entrepreneurial self-efficacy, and entrepreneurial intention. The findings show the importance of entrepreneurial education, social value, and ecosystems. Therefore, in order to promote successful entrepreneurship, it is necessary to strengthen entrepreneurship education and have a strategy for the improvement of the entrepreneurship ecosystem.

• Journal of the Korea Safety Management & Science
• /
• v.9 no.1
• /
• pp.77-84
• /
• 2007

This study was planned to investigate what the main factor of the regulation compliance of inspection on harmful machine, instrument and equipment by industrial safety and health act is. This study subject was composed of three groups as employers, employees of manufacturing and using the harmful machine and safety inspectors. Manufacturing workplace were 236 places, using workplace were 201 places and the safety inspectors were 100 people. The study subject was sampled by stratified random sampling considering the type of harmful Machine. Data for analysis is collected from each sample using interview with structured questionnaires. Compliance is measured by 2, 3, and 4 point scale composed by 8 sub items such as general perception, understanding, clearness, necessity, relevancy, implementation, penalty, and general compliance of the regulation. The level of 8 items of employer's compliance are not differentiated among three groups. The determining factors for inspection observance of the workplace using the harmful Machine were understanding, penalty and cognized compliance. The determining factors for inspection observance of the workplace manufacturing the harmful Machine were understanding and object conformity. These results show that the strategy to adapt the regulated group to inspection regulation will be the elevation of understanding for regulation first of all.

• Journal of Institute of Control, Robotics and Systems
• /
• v.21 no.7
• /
• pp.662-668
• /
• 2015

This paper presents an improved predictive control of an induction machine fed by a matrix converter using N-switching vectors as the control action during a complete sampling period of the controller. The conventional model predictive control scheme based matrix converter uses a single switching vector over the same period which introduces high torque ripple. The proposed switching scheme for a matrix converter based model predictive control of an induction machine drive selects the appropriate switching vectors for control of electromagnetic torque with small variations of the stator flux. The proposed method can reduce the ripple of the electrical variables by selecting the switching state as well as the method used in the space vector modulation techniques. Simulation results are presented to verify the effectiveness of the improved predictive control strategy for induction machine fed by a matrix converter.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.9
• /
• pp.113-119
• /
• 2016

In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.16 no.2
• /
• pp.47-54
• /
• 2010

This paper is a longitudinal study, comparing survey results between two time periods. A previous survey was conducted in 1999. After 10 years of the first survey, the second survey was conducted while utilizing the same questionnaire. A list of membership of Korea Institute of Heallthcare Architecture was used as a sampling frame. At the first survey in 1999, questionnaires of 27.3 percentage were returned, and 15.5 percentage in the 2008 survey. Healthcare design is one of the highly specialized design types in architecture. In addition, it is demanded highly specialized knowledge to solve healthcare design problems. As a professional service firm(PSF), architectural firm utilizes knowledge assets to provide design service to clients. Specialized knowledge in question is one of the core assets of PSF. The knowledge generates competitive advantages and plays an effective role as a marketing tool for PSF. However, empirical studies dealing with the knowledge characteristics of specialized design(healthcare) firms were hardly found. Thus, this study aims to trace the professional architects' perception of knowledge demands for task performance and architectural knowledge assets. The results can be used as a reference when a specialized firm in healthcare design initiates to build knowledge assets in it.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2003.11a
• /
• pp.598-601
• /
• 2003

Most of all, DTC drive is very simple in its implementation because it needs only two hysteresis comparator and switching vector table for both flux and torque control. The switching strategy of a conventional direct torque control scheme which is based on hysteresis comparator results in a variable switching frequency which depends on the speed, flux, stator voltage and the hysteresis of the comparator. The amplitude of hysteresis band greatly influences on the drive performance such as flux and torque ripple and inverter switching frequency. In this paper the influence of the amplitudes of flux and torque hysteresis bands and sampling time of control program on the torque and flux ripples are investigated. Simulation results confirm the superiority of the DTC under the proposed method over the conventional DTC.

• Fashion & Textile Research Journal
• /
• v.23 no.5
• /
• pp.586-597
• /
• 2021

Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

• Structural Engineering and Mechanics
• /
• v.78 no.2
• /
• pp.209-218
• /
• 2021

For engineering, there are two major challenges in reliability analysis. First, to ensure the accuracy of simulation results, mechanical products are usually defined implicitly by complex numerical models that require time-consuming. Second, the mechanical products are fortunately designed with a large safety margin, which leads to a low failure probability. This paper proposes an efficient and high-precision adaptive active learning algorithm based on the Kriging surrogate model to deal with the problems with low failure probability and time-consuming numerical models. In order to solve the problem with multiple failure regions, the adaptive kernel-density estimation is introduced and improved. Meanwhile, a new criterion for selecting points based on the current Kriging model is proposed to improve the computational efficiency. The criterion for choosing the best sampling points considers not only the probability of misjudging the sign of the response value at a point by the Kriging model but also the distribution information at that point. In order to prevent the distance between the selected training points from too close, the correlation between training points is limited to avoid information redundancy and improve the computation efficiency of the algorithm. Finally, the efficiency and accuracy of the proposed method are verified compared with other algorithms through two academic examples and one engineering application.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.315-324
• /
• 2021

The study aims to investigate new theoretical approaches in an effort to resolve conceptual contradictions regarding the impact of organizational culture on developing culture for change, first by providing socio-structural frameworks supporting intrapreneurship, and second through encouraging professional culture behavior with management practices or organizational members acting as agents of change forming a deeper culture of values and behavior. The design of this research is quantitative. This study employs survey data of managers and section heads, which met the sampling requirements. Data analysis in this research used structural equation modeling (SEM) with the help of the AMOS program. The results show that all hypotheses are supported. The findings of this study suggest that the organizational culture transformation and dyadic social intrapreneurship based on professional culture (DSIBPC) have significant positive influence as antecedents of competitive advantage. This research also shows that DSIBPC is able to act as an important mediator that fills a gap in the relationship between organizational culture transformation toward competitive advantage, as well as being an alternative strategy for organizations in an effort to increase their competitive advantage. Referring to the results of this research, organizations need to focus and pay attention to the DSIBPC.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.689-695
• /
• 2021

In the current technology-driven era, Small and medium enterprises (SMEs) have been deemed as one of the leading and prominent drivers of sustainable economic progress in emerging and developing economies such as in the Bangladesh context. Hence, it is of significance to understand what might fuel accelerating performance of SME business as increased SME performance will bring about more sustainability and strong development of SME sector within the country, through which more employment is anticipated to be generated. Therefore, the current study examines the impact of three factors: risk-taking, innovativeness, and proactiveness on SME performance in Bangladesh. The study has gathered data from SME entities in Dhaka city of Bangladesh, by applying a non-probability sampling strategy. 250 SME owners were contacted to act as respondents and finally, 180 SME owners fully completed the survey questionnaire, indicating that the final sample size is n=180. SPSS is used as a purpose of testing the hypotheses by considering a 5% significance level as acceptance criteria of the hypothesis. Hierarchical regression analysis was run to understand the impact of control variables and independent variables on SME performance and found that age of business, risk-taking, innovativeness, and proactiveness have an important impact on SME performance in Bangladesh.