• Journal of Distribution Science
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• v.13 no.7
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• pp.5-10
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• 2015

Purpose - Gen Y college students have emerged as a profitable consumer segment because of their growing purchasing power and influence on others' buying decisions. Digital marketing is deemed effective in increasing Gen Y college students' knowledge of and interest in products and services. This research examined the effect of digital marketing on Gen Y college students'perceptions, attitudes and purchase intentions toward cotton clothing compared to that of conventional print marketing and no marketing. Research design, Date and Methodology -Data were collected from three different groups of college students from a large university in the U.S.: the group with no cotton marketing, those with print media marketing, and those with digital marketing. Result - The findings confirmed that college students who were exposed to cotton digital marketing displayed the highest level of agreement on the benefits of cotton clothing. They also exhibited the most favorable attitudes and strongest purchase intentions toward cotton clothing. Conclusions - To target Gen Y consumers effectively, marketers should consider a digital marketing strategy to promote their products and services.

• Journal of Korean Society of Rural Planning
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• v.15 no.4
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• pp.1-10
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• 2009

Rural amenity is regarded as a breakthrough that can revitalize the rural communities. The demand for rural amenity development is also increasing since the urban people have growing incomes and leisure time. This study was implemented to survey the needs and application directions of rural amenity database. The survey questionnaires were collected from various related groups including industry, universities, administration and research institute. Two kinds of analysis of variance (ANOVA) were carried out in order to prioritize the building rural amenity resource map among four user groups and ten rural amenity resources. The result of survey showed that most of respondents had been aware of amenity resources and the industry group had the highest level of utilization in making decisions for rural development. Although the significant difference among groups was not shown in the priority, the priority in the construction of information map was shown the significant difference among 10 kinds of amenity resources. Landscape's map and traditional resource map were relatively higher priority than the other resource map.

• Journal of the Korean Society of Food Culture
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• v.29 no.1
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• pp.1-8
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• 2014

This study was carried out to investigate the consumption behaviors of environmentally-friendly agricultural products, including satisfaction of purchases. Questionnaires completed consumers were statistically analyzed. Regarding purchase frequencies of environmentally-friendly agricultural and animal products, consumers consumed them 1 time per month. No significant differences in consumption by age, living area, family type, or BMI were found. Exactly 38.2% of consumers preferred to purchase items in the packing amount of 0.2-0.5 kg, whereas 39.7% of consumers preferred amounts from 0.5-1.0 kg. Significant differences in packing amount were found according to age (p<0.05) and family type (p<0.01). However, there were no significant differences according to living area or BMI group. Many consumers made decisions based on the outer packing label (69.6%). Significant differences by age and living area were not found, whereas there was significant difference according to family type (p<0.05). Consumers answered that they purchased products in a general supermarket (24.7%) and cooperative (24.2%). Significant differences were found by age and living area (p<0.01) but not by family type. Consumer satisfaction of purchases scored 3.39 out of 5 points. In conclusion, significant differences in consumer satisfaction were not found according to age, living area, family type, or BMI.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.345-351
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• 2020

The study investigates how marketing mix factors are mediated by health consciousness and service quality in creating fresh fruit buying decisions of customers in Vietnam. This study employs samples of customers in Vietnam via the survey questionnaire. The authors have used a total of 256 responses that acquired the valid criteria. The compound of data analysis comprises reliability test, validity test, exploratory factor analysis, group analysis and multiple regression analysis to structure the hypothesized model. Respectively, the structural equation model (SEM) is applied to conduct the multiple multivariate equations. By the assumption of causal-effect relationship between independent variables such as marketing mixed factors, and mediator as health consciousness and service quality, which potentially impact on purchase decision; the SEM method is deployed. The results reveal that consumers have paid no attention to the marketing mix factors, but they care much about service quality and health consciousness. Thus, health consciousness and service quality are effective mediators. These findings are new and contribute to the consumer behavior and retail marketing literature. The findings of this study can provide assistance to managers in the given field to understand more easily the consumer behavior about fresh fruits, then improve their own performance.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.83-92
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• 2003

Scheduling plays an important role in shop floor planning. A scheduling shows the planned time when processing of a specific job will start on each machine that the job requires. It also indicates when the job will be completed on every process. Thus, it is a timetable for both jobs and machines. There is only one server available and arriving work require services from this server. Job are processed by the machine one at a time. The most common objective is to sequence jobs on the severs so as to minimize the penalty for being late, commonly called tardiness penalty. Based on other objectives, many criteria may serve as s basis for developing job schedules. The process also comprises all strategic planning, capital investments, management decisions, and tasks necessary to create a new product. manufacturing processes must be created so that the product can be produced in the product facility. Purchasing new equipment and training workers may be required if new technology is to be used. Tools, fixtures, and the sequence of steps in the manufacturing processes must all be developed to allow rapid, high-quality, cost effective production. Also, it may be needed to be rearrange the production facility to adapt to the new manufacturing processes. Therefore, this study tries to proposed that Scheduling by customer needs group for minimizing the problem and reducing inventory, product development time, cycle time, and order lead time.

• Journal of the Korean housing association
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• v.20 no.6
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• pp.127-134
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• 2009

This study initially analyzes the meaning of Community-Based Residential Environment Improvement. A residential environment improvement factor was determined through an analysis of the function, components, Planning techniques of the community, the evaluation criteria of the residential environment, and through relative literature documenting plans for the adjustment of urban and housing environments. In terms of the methodological approach, decisions were made based on the results of an expert focus-group-interview, a goodness-of-fit test, and by using the analytic network decision-making method from which the correlation among items can be considered. Results of this analysis show that the, order of importance of factors for a community-based residential environment is as follows: interactional character, cognitive character, and locational character. Furthermore, the most important aspect for each of these factors are the neighbor-hood relationship in terms of the interactional character, common consciousness for the cognitive character and place for locational character. The results of this study can be used by linking them with questionnaire items for basic resident research when a residential environment improvement project or a plan for the adjustment of urban and housing environments is planned.

• Journal of the Ergonomics Society of Korea
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• v.31 no.4
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• pp.483-492
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• 2012

Objective: The aim of this study is to suggest three-dimensional(3D) hand gesture taxonomy to organize the user's intention of his/her decisions on deriving a certain gesture systematically. Background: With advanced technologies of gesture recognition, various researchers have studied to focus on deriving intuitive gestures for commands from users. In most of the previous studies, the users' reasons for deriving a certain gesture for a command were only used as a reference to group various gestures. Method: A total of eleven studies which categorized gestures accompanied by speech were investigated. Also a case study with thirty participants was conducted to understand gesture-features which derived from the users specifically. Results: Through the literature review, a total of nine gesture-features were extracted. After conducting the case study, the nine gesture-features were narrowed down a total of seven gesture-features. Conclusion: Three-dimensional hand gesture taxonomy including a total of seven gesture-features was developed. Application: Three-dimensional hand gesture taxonomy might be used as a check list to understand the users' reasons.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.249-254
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• 2009

The today's decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge's, decision making tools and possibly expertise's pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.

• Journal of the Korean Institute of Gas
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• v.8 no.2 s.23
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• pp.28-34
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• 2004

Enhanced methodologies for process diagnosis and abnormal situation management have been developed for the last two decades. However, there is no single method that always shows better performance over all kinds of diagnostic problems. In this paper, a framework of message-passing, cooperative, intelligent diagnostic agents is presented for improved on-line fault diagnosis through cooperative problem solving of different expertise. A group of diagnostic agents in charge of different process functional perform local diagnoses in parallel; exchange related information with other diagnostic agents; and cooperatively solve the global diagnostic problem of the whole process plant or business units just like human experts would do. For their better understanding, sharing and exchanging of process knowledge and information, we also suggest a way of remodeling processes and protocols, taking into account semantic abstracts of process information and data. The benefits of the suggested multi-agents-based approach are demonstrated by the implementations for solving the diagnostic problems of various chemical processes.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.851-861
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• 2021

This study aims to explore the specific risks in family small-medium enterprises (SMEs) and explain how they manage these risks to sustain and expand. In Indonesia, family business composes around 95 percent of all businesses and contributes about 80 percent to the country's economy. SMEs contribute approximately 57.8 percent to the nation's gross domestic product. Risk management poses challenges to the family business's survival, as family members do not take actions on risk. The assessment of risk is difficult and family businesses lack the ability to determine risk management priorities, including risk management review processes to evaluate risk, thus leading to family business failures. Applying the case study approach, in-depth semi-structured interviews were conducted in seven family SMEs comprising fifteen informants. Additionally, a focus group discussion consisting of three experts is conducted to reaffirm the findings from the interviews, observations, and field notes. The research identified the specific risks and how the family owners strategize to safeguard against these risks such as cash flow deficiency, operations dysfunction, cultural frailty, disharmony, transgenerational entrepreneurship failure, political uncertainty, and unprofessionalism. Comprehending these risks and their strategic decisions elucidated in this research could enable the family owners and key non-family professionals to work hand-in-hand to thrive over the family business risks together. Further avenues of research regarding family business risk management are also suggested in this study.