The internet has become an important part of the many aspects of people's daily lives such as work, study, entertainment and in form of electronic commerce, shopping. Electronic commerce is growing rapidly in Kenya. There are many successful business-to-business, business-to-customer and customer-to-customer online shopping companies in Kenya. As a consequence, competition between vendors is intense and, therefore, mitigating the negative effects of high product uncertainty is necessary requirement as it remains a biggest hindrance for success of the online shopping. The purpose of this research is to investigate how online product description, third party product assurance, customer service and website design mitigate the negative impact of high product uncertainty. A questionnaire with 28 items is designed to collect data from online customers. Using multiple regression analysis, the relationship between dependent variable (product uncertainty) and independent variables such as product description, third party assurance, website design and customer service is tested. The result shows that all the independent variables are negatively correlated with dependent variable, which means that product description, third party assurance, website design and customer service can be used by online vendors to lessen the problem of product uncertainty in online markets.
Journal of Korean Society of Industrial and Systems Engineering
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v.44
no.3
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pp.240-247
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2021
As competition among companies has intensified and the life cycle of products has been shortened, strong innovation is needed to meet consumers' needs. In addition, it is necessary to shorten the life cycle of the product and reduce the time required for technology development for the competitive advantage of the product. In particular, venture companies where new technologies and ideas are important require more innovative capabilities than others companies. Therefore, this study analyzed the impact of technology innovation capabilities (product development process capability, human resource capability and financial capability) on sales by technology development for small and medium venture companies and analyzed moderating effect of technology development period on the relationship between technology innovation capabilities and sales by technology development. The data of 'Small and Medium Business Technology Statistics' collected by the government every year were used for analysis. Technology-intensive ventures were extracted from this data. In addition, the moderating effect was analyzed through hierarchical regression analysis. This study shows that product planning capability, test capability, and R&D expenditure have a positive impact on sales by technology development. In this study, the product development period showed a positive moderating effect on product development capability and sales performance. On the other hand, the product development period showed a negative moderating effect on R&D expenditure and sales by technology development.
Journal of Korea Society of Digital Industry and Information Management
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v.19
no.1
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pp.91-107
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2023
With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.
Journal of the Korea Fashion and Costume Design Association
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v.14
no.3
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pp.11-22
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2012
As the consuming pattern is changing with the expansion of Internet use and the development of communication technology, Internet shopping market is getting bigger and bigger. By product group, clothing and fashion related products occupy the biggest share. Accordingly, in this study it was tried to identify the effects of Internet utilization capability that enables consumers to search for the information that they need in this information flood, variety pursuit trend and product review accommodation status on shopping value, and to analyze the effects of the shopping value on the purchase behavior in online shopping malls. When factor analysis is nude on Internet use level, it was found that Factor 1 was 'Flow Experience,' Factor 2 'Internet Use Capability,' and Factor 3 'Internet Challenge Desire.' When factor analysis is made on Diversity Pursuit Propensity, it was found that Factor 1 was 'Site Diversity Pursuit Propensity,' Factor 2 'Brand Diversity Pursuit Propensity,' and Factor 3 'Brand Value Pursuit Propensity.' When factor analysis is nude on Product Review Accommodation Propensity, it was found that Factor 1 was 'Product Information Provision Propensity,' and Factor 2 'Product Information Receiving Propensity.' Except Internet Use Capability and Product Information Provision Propensity, all other factors showed high correlation. The factor influencing the entertainment value most was Internet challenge desire, while that influencing the practical value most was flow experience. When the effects of the entertainment value and the practical value on product purchase were analyzed, it was found that both of entertainment value and the practical value influenced product purchase and the practical value influenced the product purchase more than the entertainment value.
Journal of the Korea Fashion and Costume Design Association
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v.20
no.2
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pp.17-29
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2018
This study aims to determine the effects of clothing consumption value, usefulness of clothing and ease of use on the new product acceptance intention of premium linen apparel. A survey was conducted among male and female consumers, and a total of 328 responses were analyzed. Frequency, factor analysis, and multiple regression analysis were used for data analysis using SPSS WIN Ver.21.0. The results of this study are as follows. First, clothing consumption value was classified into five factors: social value, fashionable value, individual value, practical value and emotional value. Usefulness and ease of use were found two factors and the new product acceptance intention of premium linen apparel was found one factor. Second, all factors of clothing consumption value had a positive effect on usefulness. The higher the values of the five factors of clothing consumption value, the higher usefulness. Third, fashionable value affected ease of use, but individual value had no positive effect on ease of use. The higher the fashionable value, the higher the ease of use, but, the higher the individual value, the lower the ease of use. Fourth, all factors of clothing consumption value had a positive effect on the new product acceptance intention of premium linen apparel. Therefore, clothing consumption value is important to the new product acceptance intention of premium linen apparel. Moreover, usefulness and ease of use influenced the new product acceptance intention of premium linen apparel. This shows that consumers' new product acceptance intention of premium linen apparel increases if the product is they are perceived to be useful and easy to use.
Journal of the Korean Society of Clothing and Textiles
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v.23
no.7
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pp.1007-1018
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1999
The purpose of this study were : 1) to examine the apparel product purchasing tendency of PC communication and internet users in home shopping 2) to analyze the difference of apparel product purchasing tendency accordint to consumer factors. The data was administered to 160 subjects who had communicated the PC communication and internet. And the data was collected from May through August in 1998. SPSS package was used for analysis and the following methods such as Means Percentage Frequencies Factor analysis Crosstabulation analysis t-test and one-way ANOVA, The results of this study were as follows : 1) The users of PC communication and internet were young and high-education level and a metropolitan area dwellers. They received a purchase offer through catalog PC communication and internet cable TV and paid out credit card Experience to purchasing apparel product of home shopping was very low but intention to purchasing was relative high. item that consumer wanted to buy using home shopping were casual clothing and fashion goods which were not important to fit and without regard to style. 2) Between purchasing apparel product of home shopping and mainly consideration factors were shown to have the significant differences according to age residential quarters whether or not marriage. income level. A metropolitan area dwellers the low-age unmarried and the low-income groups thought much of convenience shopping time and effort's saving. A person of the higher-income and the married thought much of the facility of an exchange or returned goods. A region dwellers were to purchase a speciality product or gift goods. 3) Between purchasing apparel product of home shopping and satisfaction degree were shown to have significant differences according to sex whether or not marriage education level an occupation. The woman than the man was satisfied with the benefit of the shopping time and effort's saving. And the unmarried than the married was satisfied with the benefit of the home shopping's convenience. The higher-education level than the lower-education level was satisfied with the quality guarantee of the product.
The study analyzes reviews of hardware products, customer service products, and products that take the form of a convergence of hardware and cloud services in ICT using text mining. We derive keywords of each review and find the differentiation of words that are used to derive topics. A cluster analysis is performed to categorize reviews into their respective clusters. Through this study, we observed which keywords are most often used for each product type and found topics that express the characteristics of products and services using topic modeling. We derived keywords such as "professional" and "technician" which are topics that suggest the excellence of the service provider in the review of service products. Further, we identified adjectives with positive connotations such as "favorite", "fine", "fun", "nice", "smart", "unlimited", and "useful" from Amazon Eco review, an integrated product and service. Using the cluster analysis, the entire review was clustered into three groups, and three product type reviews exclusively resulted in belonging to each different cluster. The study analyzed the differences whereby consumer needs are expressed differently in reviews depending on the type of product and suggested that it is necessary to differentiate product planning and marketing promotion according to the product type in practice.
Journal of the Korea Fashion and Costume Design Association
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v.12
no.4
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pp.1-13
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2010
The purpose of this study is to examine the different preference as well as the factor for this preference between general internet shopping mall and feminine internet fashion shopping mall only which are subjected with women and know the satisfaction which follows hereupon. This research will help to establish the strategy to marketers who manage feminine internet fashion shopping mall. The results of this study as follows; 1. As the result of the analysis of preference factors for general internet shopping mall, it was classified with, convenient characteristic, economical efficiency, product and information characteristic, sales promotion, and customer service. Also differences among preference factors appear with following orders, economical efficiency, convenient characteristic, product and information characteristic, sales promotion, and customer service. 2. As the result of the analysis of preference factor for feminine internet fashion shopping mall, it was classified with, fashion information and style, purchase product, economical efficiency, product assortment, and customer service. Also differences among preference factors appear with following orders, fashion information style, product assortment, purchase product, economical efficiency, and customer service. 3. As the result of the analysis of preference factors, convenient characteristic and product information mostly effects to satisfy the customers who use general internet shopping mall. Also purchase product, product assortment, fashion information and style mostly effects to satisfy the customers who use feminine internet fashion shopping mall.
Journal of the Korean Society of Clothing and Textiles
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v.26
no.3_4
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pp.548-559
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2002
Value is one of the most useful variable for achieving marketing concept that satisfy consumer needs. The issue related to which value consumers have when they're shopping and which effect this shopping value has on the process of consumer satisfaction formation, would be helpful to understand the post-purchase behavior as well as the process of pre-purchase decision making. Therefore, the objective of this study was to clarify differences in the process of satisfaction formation in relation to the type of shopping value. The study was conducted in three steps. Through the two steps, measurement instruments were developed. At the last step, judgement sampling method were utilized to collect the data and subjects were 614 university students. Factor analysis, cluster analysis, frequencies, t-test, and structural equation model analysis were used to analyze the data. Two groups regarding shopping value were found, which included consumers with hedonic shopping value and consumers with utilitarian shopping value. Overall, the results revealed a similar tendency in the process of satisfaction formation between two groups. But the tendency, which expressive product performance was related to the positive consumption emotion more than instrumental product performance was and instrumental product performance was related to the negative consumption emotion more than expressive product performance was, was clearer in consumers with utilitarian shopping value than in those with hedonic shopping value. In consumers with utilitarian shopping value, expressive product performance has a greater effect on satisfaction than instrumental product performance did, but in consumers with utilitarian shopping value, expressive product performance showed a similar effect on satisfaction with instrumental product performance. Understanding of the post-purchase behavior of the consumers with hedonic shopping value and the consumers with utilitarian shopping value and practical administration of the differences of the two groups would contribute to build useful marketing strategies.
This study analyzed the influence of investment and fostering support on gross regional product by utilizing big data using multiple regression analysis. Gross regional product (GRDP) is an index that intensively contains the production scale, expenditure level, income level, and industrial structure of each region, and is an important data used for regional economic analysis and national policy establishment. In order to properly carry out the country's major national tasks, it is necessary to accurately grasp the regional economy, and as a result, interest in regional gross domestic product is rapidly increasing. In particular, foreign investment has a significant impact on the economy of the host country, and many empirical analyzes are being conducted. In this study, correlation analysis and multiple regression analysis were conducted to examine the influence of foreign investment and domestic development support on gross regional product, and as a result, it was concluded that investment and support as a whole had a positive effect on gross regional product.
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