Good and bad luck is an important factor that frequently affects human information processing. However, in spite of its significance, few studies have been done to examine how good and bad luck influences information processing and reasoning. The current research was performed to explore the effect of good and bad luck on reasoning and, for this, two experiments were conducted. In experiment 1, participants were primed with good or bad luck and were asked to make an inference for a given murder case and include as many as clues for it, while in experiment 2, participants were asked to exclude as many as clues for the same murder case. Results show that, in experiment 1, participants who were primed with good luck included more clues than those who were primed with bad luck. However, in Experiment 2, it was found that participants who were primed with bad luck excluded more clues than those who were primed with good luck. Findings from this study indicate that priming good luck enhances holistic thinking which leads to including more and excluding less clues whereas priming bad luck increases analytic thinking which leads to including less and excluding more clues. Implications of this study for inference and decision making, consumer behavior, and addict psychology are discussed.
There are life-style and many different cultural differences between countries. Among them, food is different from other areas. Especially, if Food Tools are used by food type, even though the design factor is same, the function is different. Therefore, research and development of a Food Tool design is necessary to use a Universal Food Tool between countries. The purpose of this research is to develop a behavior analysis process for food, finding similarities and differences by food type; and cultural differences between countries; and to propose a design Food Tool design that can be used between countries. This research on methods and content is for the development of the consumer behavior analysis process about food, grafting theoretical studies about behavior analysis and working behavior analysis on the spot, to develop a food action analysis process. Second, do comparative analysis process of food order and evaluation between countries; and think about the problems and symptoms, then propose methods to resolve the problems. Third, each process is divided by category, to find the features by each category of foods between countries. Results may be obtained through research and the comparative analysis of each country's, foods, behavior and restaurant types. Specifically, researchers can use food tool design to obtain results and compare the same items between countries, compare university design education, and create new ideas through cooperation and complementary research.
Journal of the Korea Academia-Industrial cooperation Society
/
v.18
no.8
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pp.88-98
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2017
The purpose of this study is to investigate the effect of product selection of hospital workers cosmeceutical cosmetics on marketing communication among hospital workers who use cosmeceutical cosmetics that have emerged in line with the recent growing medical skin care field.Coping with complaints from consumers who buy cosmeceutical cosmetics in hospitals where cosmeceutical cosmetics are mainly used and sold, and minimizing the influence of negative issues will potentially strengthen consumer relationships. The study was conducted on 520 hospital workers who use cosmeceutical cosmetics in hospitals (dermatology, plastic surgery, women's clinic, and other hospitals) in Seoul, Gyeonggi and Incheon. A total of 502 questionnaires were used for the final analysis. The data analysis consisted of Cronbach's alpha, one-way ANOVA, exploratory factor analysis and Duncan test. Correlation analysis was performed to investigate the correlation between variables, and regression analysis was conducted to test hypotheses. The study results revealed that when choosing cosmetic cosmetics, marketing communication is influential. Especially, product value, quality, and price factors strongly affect marketing communication. This shows that we value the product and quality the most and we want a reasonable price. Considering this, we will pursue differentiated products only from cosmeceutical cosmetics and provide them as basic data necessary for securing potential customers and increasing the sales of cosmeceutical cosmetics in accordance with the changing trends.
SLA (Service Level Agreement) is an essential factor that must be guaranteed to provide a reliable and consistent service to user in cloud computing environment. Especially, a contract between user and service provider with SLA is important in an environment using a cloud service brokerage. The cloud computing is classified into IaaS, PaaS, and SaaS according to IT resources of the various cloud service. The existing SLA is difficult to reflect the quality factors of service, because it only considers factors about the physical Network environment and have no methodological approach. In this paper, we suggested a method to specify the quality characteristics of software and proposed a mechanism and structure that can exchange SLA specification between the service provider and consumer. We defined a meta-model for the SLA specification in the SaaS level, and quality requirements of the SaaS were described by the proposed specification language. Through case studies, we verified proposed specification language that can present a variety of software quality factors. By using the UDDI-based mediation process and architecture to interchange this specification, it is stored in the repository of quality specifications and exchanged during service binding time.
A two-year survey of consumers'awareness and perception of genetically-modified (GM) foods was conducted during May through September of 2000 and 2001 with a random sample of Korean consumers. More than 68% of the respondents were exposed to some information related to GM foods. The greatest benefit of the development of GM foods was thought to be the remedy for the food shortage in the future. More than 90% of Korean consumers wanted GM foods to be labeled. About 18% of the respondents would buy GM foods voluntarily, whereas over 49% would not until they found out more. Only 40% of Korean consumers were found to realize that food items originated ken plants contain genes. More consumers responded that they would not buy herbicide-tolerant GM soybean but buy vitamin-enriched GM soybean. It seemed to be that many Korean consumers do not make decisions of acceptance or rejection of GM foods not on the basis of biotechnology but on the basis of the word(5) used to describe the products, such as herbicide and vitamin. Only 4% of Korean consumers responded that GM foods were the greatest safety-threatening factor of Korean foods.
Since the Korean apple industry needs to expand its export market in Southeast Asia, this study investigates the attributes of Korean apples affecting consumer preference in Indonesia, Malaysia, Singapore, and Thailand. Based on an Importance-Preference analysis, the results are summarized as follows. First, price is the most important determinant for purchasing Korean apples by Southeast Asian consumers, except in Malaysia. Second, managing the intrinsic(sweetness and chewing texture) and extrinsic(surface and color) factors needs to be well maintained. Third, the priority of the marketing factor(wrapping) should be lowered. Fourth, while the importance of extrinsic factors(shape and size) is low, satisfaction is high, so these factors need to be managed to avoid overkill. Overall, Korean apples should have their own merits with an appropriate proper price, while maintaining a high quality. The results of this paper may provide suitable strategies for promoting apple exports to Southeast Asia.
Purpose - As consumers' needs for purchasing fresh and safe food have been bigger in Korea, their interest in local food is also growing recently. So, the number of local food stores has been increased from 3 in 2012 to 103 in 2015. Local food stores should operate a business responding consumers' needs in order that local food stores are not to be a one-time fad. Therefore, the purpose of this study is to analyze the characteristics of consumers who use a local food store and provide helpful implications to design a strategy for sustainable growth of local food store. Research design, data, and methodology - In this study, Probit model was used for empirical analysis in order to examine the effect of purchase choice attributes of agricultural products, consumer's satisfaction, and their demographic factors upon the intention to use a local food store. After estimating coefficients of the probit model, marginal effects were calculated as a standard normal, and cumulative distribution is differentiated with respect to explanatory variables. To collect the data, questionnaire survey was carried out with the consumers using the local food store (Youngjin Nonghyup near to Jeonju city located in Jeollabuk-do). Result - The data analysis found that the more consumers are satisfied with local food store, the higher intention they have to use the local food store. In addition, it was known that the factors related to quality of agricultural products and shopping convenience among the purchase choice attributes have a considerable impact on the purchase intention of a local food store. In demographic factors, income was turned out to be an important factor affecting purchase intention of local food. Such a result supports the hypothesis that high income consumers are likely to purchase local food, which is based on the inference that consumers who have a high income tend to pursue wellbeing life. Futhermore, information delivery, through a reputable media source among general factors, was known to play an important role in forming an intention to purchase local food. According to the analysis of marginal effects, probability of purchase intention of a local food store is increased by 11.4%, if a monthly average income of a household is above 4.5 million Won(Korean currency). If purchasing satisfaction with local food stores is high, the probability of purchase intention would be increased by 24.1%. Likewise, such a probability goes up by 8.7%, 5.8%, respectively as an increasing one unit of quality of agricultural products and shopping convenience of local food stores, respectively. Conclusion - For attaining sustainable growth in a local food store, it is considered necessarily to establish a proper store operation system to meet consumers' needs, especially for quality and shopping convenience of local food. Moreover, as it was found that appropriate communication through media source has a positive effect on the intention to use local food store, PR activity seems to be necessary to expand the consumers' demands for local foods.
Journal of the Korean Institute of Intelligent Systems
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v.9
no.4
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pp.420-425
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1999
The maximum demand controller is an electrical equipment installed at the consumer side of power system
for monitoring the electrical energy consumed during every integrating period and preventing the target
maximum demand (MD) being exceeded by disconnecting sheddable loads. By avoiding the peak loads and
spreading the energy requirement the controller contributes to maximizing the utility factor of the generator
systems. It results in not only saving the energy but also reducing the budget for constructing the natural base
facilities by keeping thc number of generating plants ~ninimumT. he conventional MD controllers often bring
about the large number of control actions during the every inteyating period and/or undesirable loaddisconnecting
operations during the beginning stage of the integrating period. These make the users aviod the
MD controllers. In this paper. fuzzy control technique is used to get around the disadvantages of the
conventional MD control system. The proposed MD controller consists of the predictor module and the fuzzy
MD control module. The proposed forecasting method uses the SOFM neural network model, differently from
time series analysis, and thus it has inherent advantages of neural network such as parallel processing,
generalization and robustness. The MD fuzzy controller determines the sensitivity of control action based on
the time closed to the end of the integrating period and the urgency of the load interrupting action along the
predicted demand reaching the target. The experimental results show that the proposed method has more
accurate forecastinglcontrol performance than the previous methods.
This study was conducted to investigate the effect of Lentinus edodes powder on the quality characteristics and antioxidant of rice cookies. The cookies for this experiment was made by 3 main ingredients including rice powder, flour, Lentinus edodes powder. The proportion of rice powder was fixed to 50% for the total amount of ingredients. The amount of reminded 2 ingredients (flour and Lentinus edodes powder) were varied. The amount of flour was decreased up to 38%, and the addition of Lentinus edodes powder was increased to 4%, 8% and 12%. Density of the dough, hardness, total polyphenol content, DPPH free radical scavenging activity, and reducing power increased with increasing Lentinus edodes powder content. Moisture content, pH of the dough, spread factor, loss rate, leavening rate, and L values of the cookies were decreased with increasing Lentinus edodes powder content. The result of consumer acceptance test revealed that there were no significant differences in smell, taste and overall acceptability, while the preference of color decreased as the amount of Lentinus edodes powder increased. To sum up, the cookies with 12% Lentinus edodes powder can produced the best results in terms of quality and antioxidant potential.
Journal of Family Resource Management and Policy Review
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v.25
no.2
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pp.41-52
/
2021
The purpose of this study is to examine how female labor force participation, family policies, and gender equality are related to fertility rate across countries. Multiple measures has been collected from various data sources(such as OECD, UNDP, and WVS) and the panel data set which includes (mostly) OECD countries range from 1990 to 2019 are analyzed. The major findings are as follows. First, based on OECD countries samples, female labor force participation is positively associated with the fertility rate, which implies that women's labor force participation does not lead to a reduction in fertility rate. Second, the length of paternity leave is positively associated with fertility rate whereas the direction is the opposite for the relationship between the length of maternity leave and fertility rate. This is attributed to the possibility that a longer period of maternity leave incurs the a higher opportunity cost of earning income, which leads to a reduced fertility rate. Third, countries with higher gender inequality index tend to have a higher fertility rate. Similarly, countries with higher gender equality value have a lower fertility rate. When the gender equality value is devideed into three sub-categories, education, politics, and employment, the gender equality value in education is the only sub-category which is negatively associated with the fertility rate. This study confirms that female labor force participation may not be a contributing factor in the lowering of fertility rate but instead can be positively associated with the fertility rate. Also, the results show that family policies or gender equality values can be significantly affect fertility rate.
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