• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.199-209
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• 2009

For increasing the consumption of pear, the pear wines were made by using eight different kinds of yeast. The chemical properties, such as pH, acidity, ethanol and sugar contents, and the consumer acceptance of various pear wines were analyzed. In analysis result of chemical properties, the value of pH was decreased and the acidity was increased until few days, and then retained during fermentation. The ethanol content was increased and the sugar content was decreased during fermentation. The pear wine brewed by B yeast (Lalnin, Saccharomyces cerevisiae) among eight different kinds of yeast had the highest content of ethanol, also this wine was represented the most consumer acceptance by the panels who consist of two age groups such as 20's to 30's and 50's to 60's. Therefore, we chose the yeast B for analyzing the effect of additives during fermentation. As the additives, the $K_2S_2O_5$ and ammonium phosphate as the disinfectant and hemicellulase and pectinase as fermenting conditioner were added into the pear wine brewed by yeast B. When additives are added, the chemical properties were the same as followed. Te values of pH was lower than when additives were not added(control). The acidity was he highest when ammonium phosphate was added, but the acidity was not changed after 4 day fermentation. Sugar contents when added $K_2S_2O_5$ 350ppm was shown the fastest deceasing, and it was orderly decreased as control, ammonium phosphate, hemicellulase, pectinase, and $K_2S_2O_5$ 175ppm. The decreasing rate of sugar content of these 6 test groups during fermentation gradually decreased without a big changes and the after 7 day fermentation, sugar contents were seldom decreased and the final sugar content was $9.5{\sim}9.8^{\circ}Brix$. In terms of change of the content of ethanol, all test groups generated 11~12.4% ethanol after 7 day fermentation. The group where ammonium phosphate was added generated 12.4% alcohol, which is the fastest speed and the group, which hemicellulase additive was added, showed generally slow alcohol generation rate. In terms of ethanol contents, the non-additive group and $K_2S_2O_5$ additive group showed 0.05%, which is very low, and hemicellulase and pectinase additive group is more than 0.5% which is rather high.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.3
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• pp.434-441
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• 2015

To develop dough methods for improving bread making properties of Korean wheat flour, straight dough methods (SDM) and dough and sponge methods (DSM) were applied. The bread making properties such as weight of bread, specific volume, baking loss, crumb color, and texture were analyzed. In comparison of flour properties between Korean wheat flour and imported wheat flour by Farinograph, Korean wheat flour showed less gluten network form ability than imported wheat flour. The dough making method affected bread quality such as weight of bread, specific volume, and baking loss. SDM had a more desirable effect on bread quality. Crumb color was lighter in bread made with Korean wheat flour compared to imported wheat flour, whereas dough making method did not affect crumb color. In consumer acceptance analysis, bread made by DSM showed higher consumer acceptance than that made by SDM. Regarding physicochemical changes during storage, bread made by SDM using Korean wheat flour showed higher chewiness, brittleness, and hardness than that made by imported wheat flour. However, bread made by DSM showed similar chewiness as bread made by SDM using imported wheat flour. The bread making properties of bread made by DSM is improved versus that of bread made with Korean wheat flour.

• Journal of Food Hygiene and Safety
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• v.24 no.4
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• pp.318-323
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• 2009

Dahi is yoghurt like fermented dairy products available in Bangladesh made by traditional ways from raw milk. The aim of the present study was to check and compare the present quality status of the market dahi in reference to laboratory made dahi. For this, dahi was prepared in the laboratory (A) and collected from Kishoregonj district (B), Gazipur district (C), Bogra district (D) and Dhaka district (E and F). Consumer acceptance quality was judged on 100 point by a judge panel and chemical and microbiological quality test were done by established methods. 'A' type dahi was superior followed by E, D, F, B and C considering the consumer acceptance quality parameter. From chemical test, it appears that, B possess the lowest pH ($3.75\;{\pm}\;0.05$) and highest was in C ($4.46\;{\pm}\;0.15$). Total solids content of F type dahi ($318.40\;{\pm}\;4.44\;g/kg$) was highest and fat ($52.00\;{\pm}\;2.00\;g/kg$), protein ($44.33\;{\pm}\;2.00\;g/kg$) and ash ($10.76\;{\pm}\;0.31\;g/kg$) content were also higher in F type dahi. E and A type dahi were also with considerable figure in chemical quality parameter. Dahi B was inferior in respect of microbiological quality- total viable count (TVC) (${\times}\;10^5\;cfu/ml$) content was $94.00\;{\pm}\;4.58$, yeast (cfu/ml) content was $183.33\;{\pm}\;15.28$ and mold (cfu/ml) content was $53.33\;{\pm}\;15.28$. The TVC (${\times}\;10^5\;cfu/ml$), yeast (cfu/ml) and mold (cfu/ml) content of A type dahi were $39.67\;{\pm}\;4.51$, $50.00\;{\pm}\;10.00$ and $20.00\;{\pm}\;10.00$, respectively. Considering all the three major quality aspects dahi A was superior than others followed by F, D, E, C and B.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.27-42
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• 2020

Traditional companies with offline stores were unable to secure large display space due to the problems of cost. This limitation inevitably allowed limited kinds of products to be displayed on the shelves, which resulted in consumers being deprived of the opportunity to experience various items. Taking advantage of the virtual space called the Internet, online shopping goes beyond the limits of limitations in physical space of offline shopping and is now able to display numerous products on web pages that can satisfy consumers with a variety of needs. Paradoxically, however, this can also cause consumers to experience the difficulty of comparing and evaluating too many alternatives in their purchase decision-making process. As an effort to address this side effect, various kinds of consumer's purchase decision support systems have been studied, such as keyword-based item search service and recommender systems. These systems can reduce search time for items, prevent consumer from leaving while browsing, and contribute to the seller's increased sales. Among those systems, recommender systems based on association rule mining techniques can effectively detect interrelated products from transaction data such as orders. The association between products obtained by statistical analysis provides clues to predicting how interested consumers will be in another product. However, since its algorithm is based on the number of transactions, products not sold enough so far in the early days of launch may not be included in the list of recommendations even though they are highly likely to be sold. Such missing items may not have sufficient opportunities to be exposed to consumers to record sufficient sales, and then fall into a vicious cycle of a vicious cycle of declining sales and omission in the recommendation list. This situation is an inevitable outcome in situations in which recommendations are made based on past transaction histories, rather than on determining potential future sales possibilities. This study started with the idea that reflecting the means by which this potential possibility can be identified indirectly would help to select highly recommended products. In the light of the fact that the attributes of a product affect the consumer's purchasing decisions, this study was conducted to reflect them in the recommender systems. In other words, consumers who visit a product page have shown interest in the attributes of the product and would be also interested in other products with the same attributes. On such assumption, based on these attributes, the recommender system can select recommended products that can show a higher acceptance rate. Given that a category is one of the main attributes of a product, it can be a good indicator of not only direct associations between two items but also potential associations that have yet to be revealed. Based on this idea, the study devised a recommender system that reflects not only associations between products but also categories. Through regression analysis, two kinds of associations were combined to form a model that could predict the hit rate of recommendation. To evaluate the performance of the proposed model, another regression model was also developed based only on associations between products. Comparative experiments were designed to be similar to the environment in which products are actually recommended in online shopping malls. First, the association rules for all possible combinations of antecedent and consequent items were generated from the order data. Then, hit rates for each of the associated rules were predicted from the support and confidence that are calculated by each of the models. The comparative experiments using order data collected from an online shopping mall show that the recommendation accuracy can be improved by further reflecting not only the association between products but also categories in the recommendation of related products. The proposed model showed a 2 to 3 percent improvement in hit rates compared to the existing model. From a practical point of view, it is expected to have a positive effect on improving consumers' purchasing satisfaction and increasing sellers' sales.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.12
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• pp.1865-1872
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• 2015

This study attempted to investigate consumer perceptions and attitudes towards reducing sugar intake by providing data to develop guidelines for the government and food-related industries to encourage Korean consumers to maintain appropriate levels of sugar intake. A survey was conducted on 238 adult consumers regarding their purchasing power for products with high sugar content in Seoul and Bundang, Gyeonggi area from September 1~30, 2013. Nutritional information on sugary products had a greater impact than media and others' recommendations on consumer awareness regarding need to reduce sugar intake. External factors such as health and weight control were stronger reasons for consuming reduced amounts of sugar or sugar-free products than internal factors such as sweetness. However, internal factors-such as taste-did not have a greater effect on consuming reduced amounts of sugar or sugar-free products than environmental factors-such as absence of purchase channels. Consumers indicated higher acceptance for 50% reduction in sweetness of existing commercial products. Regarding methods of lowering sugar intake, sugar replacement and reducing sugar consumption both generally and at home were preferred. In addition, consumers were likely to pay 10~14% more for sugar-reduced products than for existing products. Overall, consumers expressed positive attitudes towards reducing sugar intake in the future, although those in their twenties tended to be more passive than other age groups.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.6
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• pp.997-1006
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• 2008

Four different spices (herbs) including rosemary, oregano, basil & sage and green tea were added individually to the ground pork or ground chicken with different percentages of 0.5, 1.0, and 1.5, respectively. The consumer sensory qualities of the five natural herbs and their antioxidant effects were evaluated using pork- and chicken-Yukwonjeon. In our consumer sensory evaluation, the 0.5% herb addition and control groups had generally better acceptability than the higher addition groups. In particular, pork-Yukwonjeon with the addition of 0.5% of green tea or oregano and chicken-Yukwonjeon with the addition of 0.5% of green tea or rosemary 0.5% were generally preferred more profoundly on the acceptance and ranking tests. However, sensory differences, especially in texture, among the different samples were reduced after storage. With regard to the results of lipid oxidation without storage, the TBARS values of the herb addition groups were slightly lower than those of the control group, but not significantly so (p>0.05). The antioxidant effects of each herb achieved higher values at longer storage times and with higher levels of added herbs. The antioxidant effects differed with different kinds of meat. The addition of the herb samples resulted in TBARS value reductions of $15.0{\sim}45.8%$ and $9.5{\sim}31.0%$, respectively, in the pork and chicken-Yukwonjeon stored at $6^{\circ}C$. Furthermore, the antioxidant effects of herbs during storage at $-20^{\circ}C$ were observed as reducing in the TBARS values of $8.4{\sim}31.7%$ and $19.0{\sim}33.0%$ in the pork-and chicken-Yukwonjeon, respectively. Green tea evidenced the highest levels of antioxidant activity on lipid oxidation, as it was acceptable even at higher concentrations according to our sensory evaluations. These results illustrate the possibility of producing superior Yukwongen with green tea and herbs, according to the different kinds of meat used.

• Journal of the Korean Society of Food Culture
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• v.20 no.3
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• pp.305-314
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• 2005

This study was conducted to investigate the effects of ginseng and Schizandra chinensis on the quality characteristics of kimchi stored for 40 days at $4^{\circ}C$ after kimchi was fermented for 1 day at $25^{\circ}C$. pH and reducing sugar of GS(Kimchi added with extract powder of fine ginseng root and Schizandra chinensis juice) were the highest in the early part of storage but pH and reducing sugar of G(Kimchi added with extract powder of fine ginseng root) were the highest from 11th storage day. Acidity and $CO_2$ content of GS were the highest during storage period. The $CO_2$ content of GS was the highest significantly and the $CO_2$ content of C(Control) was the lowest significantly. When the hardness was measured, G was the hardest and there were no significant difference between C and GS. Total cells and lactic acid bacteria were increased rapidly at initial fermentation and GS was the highest of 3 samples from 6th storage day. The result of sensory evaluation showed that G was lower in sourness and higher in hardness than C and GS. Ginseng flavor had no significant differences between G and GS. And G was higher than GS in bitter taste. Consumer Acceptance test showed that consumer prefered C and GS to G. Considering all results, it can be concluded that addition of Schizandra chinensis juice to kimchi decreases the bitter taste of ginseng and increasing consumer preference.

• Asia Marketing Journal
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• v.14 no.2
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• pp.65-96
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• 2012

Brand has received much attention from considerable marketing research. When consumers consume product or services, they are exposed to a lot of brand related stimuli. These contain brand personality, brand experience, brand identity, brand communications and so on. A special kind of new crisis occasionally confronting companies' brand management today is the brand related rumor. An important influence on consumers' purchase decision making is the word-of-mouth spread by other consumers and most decisions are influenced by other's recommendations. In light of this influence, firms have reasonable reason to study and understand consumer-to-consumer communication such as brand rumor. The importance of brand rumor to marketers is increasing as the number of internet user and SNS(social network service) site grows. Due to the development of internet technology, people can spread rumors without the limitation of time, space and place. However relatively few studies have been published in marketing journals and little is known about brand rumors in the marketplace. The study of rumor has a long history in all major social science. But very few studies have dealt with the antecedents and consequences of any kind of brand rumor. Rumor has been generally described as a story or statement in general circulation without proper confirmation or certainty as to fact. And it also can be defined as an unconfirmed proposition, passed along from people to people. Rosnow(1991) claimed that rumors were transmitted because people needed to explain ambiguous and uncertain events and talking about them reduced associated anxiety. Especially negative rumors are believed to have the potential to devastate a company's reputation and relations with customers. From the perspective of marketer, negative rumors are considered harmful and extremely difficult to control in general. It is becoming a threat to a company's sustainability and sometimes leads to negative brand image and loss of customers. Thus there is a growing concern that these negative rumors can damage brands' reputations and lead them to financial disaster too. In this study we aimed to distinguish antecedents of brand rumor transmission and investigate the effects of brand rumor characteristics on rumor spread intention. We also found key components in personal acceptance of brand rumor. In contextualist perspective, we tried to unify the traditional psychological and sociological views. In this unified research approach we defined brand rumor's characteristics based on five major variables that had been found to influence the process of rumor spread intention. The five factors of usefulness, source credibility, message credibility, worry, and vividness, encompass multi level elements of brand rumor. We also selected product involvement as a control variable. To perform the empirical research, imaginary Korean 'Kimch' brand and related contamination rumor was created and proposed. Questionnaires were collected from 178 Korean samples. Data were collected from college students who have been experienced the focal product. College students were regarded as good subjects because they have a tendency to express their opinions in detail. PLS(partial least square) method was adopted to analyze the relations between variables in the equation model. The most widely adopted causal modeling method is LISREL. However it is poorly suited to deal with relatively small data samples and can yield not proper solutions in some cases. PLS has been developed to avoid some of these limitations and provide more reliable results. To test the reliability using SPSS 16 s/w, Cronbach alpha was examined and all the values were appropriate showing alpha values between .802 and .953. Subsequently, confirmatory factor analysis was conducted successfully. And structural equation modeling has been used to analyze the research model using smartPLS(ver. 2.0) s/w. Overall, R² of adoption of rumor is .476 and R² of intention of rumor transmission is .218. The overall model showed a satisfactory fit. The empirical results can be summarized as follows. According to the results, the variables of brand rumor characteristic such as source credibility, message credibility, worry, and vividness affect argument strength of rumor. And argument strength of rumor also affects rumor intention. On the other hand, the relationship between perceived usefulness and argument strength of rumor is not significant. The moderating effect of product involvement on the relations between argument strength of rumor and rumor W.O.M intention is not supported neither. Consequently this study suggests some managerial and academic implications. We consider some implications for corporate crisis management planning, PR and brand management. This results show marketers that rumor is a critical factor for managing strong brand assets. Also for researchers, brand rumor should become an important thesis of their interests to understand the relationship between consumer and brand. Recently many brand managers and marketers have focused on the short-term view. They just focused on strengthen the positive brand image. According to this study we suggested that effective brand management requires managing negative brand rumors with a long-term view of marketing decisions.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.38-48
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• 2020

The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.

• Journal of the Korean Home Economics Association
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• v.47 no.3
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• pp.55-65
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• 2009

By definition, smart clothing describes a garment whose functionality is enhanced by technological advancements in order to ease one’'s lifestyle. To know user’'s understanding and needs, the research had consisted of brainstorming sessions, personal interviews, focus group meeting, and a series of content analyses. Ten of the interview subjects and focus group panel were found by contacting women aged 56-64 in the Ithaca community, NY. They were prompted with general questions on style choices for their lifestyles and age group and then presented with two examples of smart clothing to discuss and critique. Meanwhile, the other three interview subjects, located outside of the Ithaca community, were aged either above or below the targeted bracket. These subjects were interviewed as a method of comparison on multiple levels. Findings had shown that there was indeed a need for smart clothing amongst the increasingly populated demographic of older women: devices to help one’'s body temperature regulation and vision problem, and well-designed clothing. However, the functionalities must be carefully constructed and conveyed in order to be taken seriously by the mainstream consumer market. Once successfully designed, the smart clothing will ideally create a greater sense of autonomy for older women.