In general, an increase in consumer income increases interest in safe foods and increases consumption of environmental friendly foods. Meanwhile, even in Malawi, interest in safe food and environmentally friendly food has been increasing due to increase in per capita income, but research related to this has not been done yet. The purpose of this study is to estimate the value of environmentally friendly foods in Malawi consumers. For this purpose, we surveyed the consumption patterns and estimated the value of organic chicken for consumers visiting supermarkets. As a value estimation technique, Contingent Valuation Method (CVM) was used. Probit model analysis showed that price, expenditure on regular chicken, and knowledge of organic food affect the willingness to pay for organic chicken. CVM analysis shows that Malawi supermarket consumers are willing to pay MK2,514 (3.59) dollars per kilo of organic chicken, which is 25.7% higher than the average price of a regular chicken. Thus, Malawi supermarket consumers can deduce that they have a higher value for environmentally friendly food than regular food. These findings can be used in formulating policies on food safety by government officials, organic chicken meat marketing strategies by supermarket mangers, decision making to enhance organic food production by producers, in order to develop organic food industry.
Journal of the Korea Fashion and Costume Design Association
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v.20
no.4
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pp.57-71
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2018
Since consumers have become more comfortable with providing and receiving information online, 'online word of mouth' has been gaining consideration as one of the major information sources. Also, the shopping orientation of consumers has been proven to be an important determinant of consumer behavior. Therefore, the study investigated the differences in online WOM behavior based on shopping orientation. Hedonic, loyal, and syntonic styles were the types of shopping orientation considered, and the study focused on information retrieval tendencies, the motivation of online WOM search, searching online WOM sources, and the contents for the online WOM behavior. The research conducted an off-line survey targeting females in their twenties. The total number of data sets used in the empirical study was 125, and these were analyzed by SPSS 20.0: factors analysis, Cronbach's ${\alpha}$, k-means cluster, ANOVA, Duncan's multiple range test, Kruskal-Wallis, Mann-Whitney, and Bonferroni correction. The participants were divided into 3 kinds of shopping orientation groups named 'trend-pursuit', 'passive', and 'loyal'. As a result, there were significant differences in online WOM behavior discovered between the groups. Firstly, the 'trend-pursuit' group had the highest number of ongoing searches while the 'loyal' group had the highest number of pre-purchase search. Secondly, the 'trend-pursuit' and 'loyal' groups both had the motivations of online WOM search, hedonic and utility, whereas the 'passive' group had the lowest motivations for both motivations. Thirdly, the 'loyal' group frequently referred to reviews on shopping malls as online WOM sources. The research provided a better understanding of the online WOM behavior of present consumers and suggests that fashion related corporations map out marketing strategies with the understanding of these behaviors.
This study examined the relationships among perceived values(environmental value, functional value), perceived risk, subjective norm, pro-social behavior, product attitude, and usage intention related to car-sharing service. The study also explored the moderating role of possessive desire between the antecedent variables and consumer attitude. 238 survey responses of Chinese consumers were analyzed by structural equation modeling. It is indicated that environmental value, functional value, subjective norm, pro-social behavior had positive effects on attitude, thereby affecting the usage intention of this service. Possessive desire moderated the relationship between environmental value, subjective norm and attitude. These results are expected to provide various marketing strategies for sharing economy services.
This study explored the relationships among perceived values of environment friendly-cars and shared cars, product attitudes, subjective norms, and usage intentions. The study also examined the difference between the consumer attitudes toward environment friendly-cars and shared-cars. 357 survey responses of Chinese consumers were analyzed with structural equation modeling. The results indicate that the perceived values of environment friendly-cars had positive effects on the product attitude, while the environmental as well as economic value of shared-cars had positive effects on the product attitude. The product attitude, subjective norm and anticipated guilt had positive effects on the usage intention. The results are expected to provide useful marketing strategies related to both environment friendly-car and shared car industries.
This study aims to derive the need for middle-aged women to consider using fashion product applications, styling, and personalized styling services. To analyze the fashion styling considerations of middle-aged women, 200 women in their 40s and 50s were surveyed. Middle-aged women usually tend to shop through home shopping, department stores, fashion soho (Small office home office) malls, and open market-type applications, and purchase fashion products more than two or three times a month, spending an average of less than 50,000 won per month. Middle-aged women consider choosing appropriate clothing based on the occasion and place, complementing the flaws of the changed body type as well as taking into account the weather in the styling process, and seek to showcase a sophisticated, luxurious, and youthful image through styling. However, they are confused and face difficulties in fashion styling, with regard to not only overall body shape but also partial body changes, such as increasing waistline, flabby thighs and arms, and decreasing hip volume. In addition, middle-aged women were looking for expert advice on styling to help them look the best. They also wanted to solve the difficulties of making a right choice amid the overflowing information related to fashion. The results of the study contribute to identifying products that meet the needs of middle-aged women and help develop detailed consumer-tailored marketing strategies, thereby improving sales of fashion products.
Customized cosmetics are emerging as a consumer product that companies should pay attention to in the beauty industry due to the combination of market trends and institutional introduction of customized cosmetics. In this study, six offline service brands and online service brands currently in Korea were selected to understand the current status of domestic customized cosmetics online and offline services and to derive detailed characteristics, and the cases of each brand were analyzed. The results are as follows. First, customized cosmetics services could be classified online and offline. Second, customized cosmetics brands could be divided into general brand types and brand extension types. Third, skin data measurements could be classified into genetic analysis, big data-based surveys, and device measurements. Fourth, customized cosmetics manufacturing could be classified into a device manufacturing system, a consultant manufacturing system, and an individual production process system. Fifth, customized cosmetics distribution and delivery could be classified into same-day sales, general delivery, and regular delivery. The results of this study are meaningful in that they have identified and analyzed the current status of personalized cosmetics on-line and offline systems in recent trends, and it was confirmed that creative attempts in the domestic customized cosmetics market continue to change. It is hoped that this study will provide information and ideas to the beauty industry and related experts in the future and be used as basic data for customized cosmetics marketing
Background: No study has examined the regulatory factors associated with fatal health problems due to the use of humidified disinfectants (HD) in South Korea. Objectives: This study aimed to identify and discuss the deficiencies and limitations found in the Toxic Chemical Control Acts (TCCA) that failed to prevent the health risk of chemicals in HD products. Methods: The South Korean TCCA was reviewed focusing on acts in operation from 1994 through the end of 2011, the period when HD was allowed in manufacturing and marketing. Results: The TCCA was the act intended to regulate the toxicity of chemicals in HD products. We found the TCCA to lack three key legal clauses which would have been essential to controlling the health risk of HD. First, there was the exemption of toxic and hazard testing for existing chemicals, including chloromethylisothiazolinone (CMIT), methylisothiazolinone (MIT), and benzalkonium chloride (BKC). Secondly, there were no articles requiring industry to provide animal inhalation test result for polymers such as polyhexamethylene guanidine (PHMG) and Oligo(2-)ethoxyethoxyethyl guanidine chloride (PGH). Finally, there was a lack of articles on examining the risk of products as well as on addressing changes in the usage of products. These articles were found to be generally provided in the US Toxic Substance Chemical Act (TSCA) and the EU Registration, Evaluation and Authorization of Chemicals (REACH). Conclusions: In conclusion, the Ministry of Environment of South Korea had not updated key articles for regulating hazardous chemicals, causing large-scale health problems due to HD which had been fundamentally addressed in chemical-related acts in other countries.
Journal of the Korea Society of Computer and Information
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v.29
no.4
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pp.155-160
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2024
Weather indexes such as temperature, humidity, wind speed and air pressure have been studied for diverse life-related factors: Food poisoning, discomfort, and others. In that, the Korea Meteorological Administration(KMA) has been released indexes such as 'Life industrial weather information', 'Safety weather information', and even 'picnic weather information' that shows how an weather like to enjoy picnic. Those weather-life effects also reveal on shopping preference such as an weather affects offline shopping purchase behaviors especially big-marts because they have outside leisure activity attribute However, since online shopping has not physical attribute, weather factors may not affect on same way to offline. Although previous researches have focused on psychological factors that have been utilized in marketing criteria, this research utilize KMA weather dataset that affects psychological factors. This research utilize 1,033 online survey for SEM analysis to clarify relationships between weather factors and online shopping purchase behaviors. As a result, online purchase intention is affected by temperature and humidity.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.12
no.3
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pp.75-86
/
2017
The development of web technologies and the generalization of smartphones have dramatically increased the number of social media users using the Internet. As a result, companies are perceived social media as a major marketing tool and operate a variety of SNS channels. In particular, start-ups conducting businesses with limited resources, social media is being used as an effective marketing tool to meet many potential customers at a low cost. Among them, facebook is the most used channel in the world and plays an important promotional tool not only in overseas but also in marketing activities of domestic start-ups. The purpose of this study is to analyze the relationship between satisfaction and purchase intention according to four personal characteristics of users who use social media contents and to measure the mediating effect of satisfaction on the relationship between content type and purchase intention. To this end, we classified into three types based on the previous research, and social media content is provided to 200 fans of Minbak Danawa(Minda), one of representative start-ups related to accommodation, The questionnaires were conducted for 3 weeks, and a total of 145 copies were collected. All the collected questionnaires were used for statistical analysis through SPSS 18.0. The empirical results show that all three types of content, such as task-oriented, self-oriented, and interaction-oriented, have a significant effect on the satisfaction level. Among them, it is confirmed that the satisfaction level plays a mediating role on the relationship between task-oriented contents and purchase intention. And the user 's personal characteristics showed a partially moderate effect on the satisfaction according to the content type. Therefore, social media content provided by corporations has an important effect on consumer satisfaction and purchasing, in order for start-up to prevail in the market, it is necessary to have an operational strategy to communicate with customers continuously through systematic contents analysis and planning. The result of this study suggests effective ways to build a social media marketing strategy for start-ups and suggests ways to utilize contents considering the characteristics of internet users.
Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.
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