• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.1-16
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• 2023

Due to imbalances in supply and demand within the labor market, start-ups have emerged as crucial players in the generation of high-quality employment opportunities, particularly in stagnant job markets. In response to this trend, governments are allocating substantial financial and human resources to initiatives that support start-up development. This has led to an increasing rate of engagement in start-up ventures across diverse age groups, not limited to younger individuals. Start-ups are enterprises focused on the commercialization of innovative ideas with the aim of achieving profitability in the marketplace. Research concerning the successful market integration of new products and the attainment of sustainable growth is pivotal. Such research is instrumental not only for the success of start-ups but also for realizing the broader social functions and contributions that these enterprises can offer. Previous research has often examined new product market-entry strategies, often referred to as new product marketing, particularly for large companies and SMEs. However, there is a gap in studies focusing on prototype marketing strategies specific to start-ups. Thus, this study aims to examine the impact of Pre-announcing marketing strategies on the market attention garnered by start-ups with low recognition and limited infrastructure, and how such attention contributes to their sustainable growth. Specifically, the study aims to uncover the causal relationship between information attributes like relevance, vividness, and novelty in building customer relationships, and their impact on purchase intentions influenced by performance expectations and hedonic motivations. In terms of Pre-announcing information attributes, relevance, vividness, and novelty positively influence performance expectations and hedonic motivations as outlined in the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). These factors, in turn, positively impact the purchase intention for pre-announced new products from start-ups. These findings are expected to provide both theory and practical insights into the factors influencing market entry through the use of Pre-announcing marketing strategies for start-up new products.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.81-87
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• 2018

Purpose - The perception of the quality of the consumer's distributor's brand(PBs) is generally perceived to be lower than that of the manufacturer's brand(NB), although it is a critical factor in determining the success of PBs. Accordingly, this study examines the characteristics of the convenience store PB products and their correlation with brand trust and purchase intent in the consumers who have had experience purchasing the convenience store PBs to expand the sales variables. Further, this research shows that the marketing strategy is to increase the share of PBs by providing an empirical analysis on the effect of the product attribute factors on the sales volume associated with brand trust, purchase intent, and others. Research design, data, and methodology - The survey period of this study was approximately three weeks from December 1, 2017 to December 21, 2017. The study samples that were taken from 100 random people extracted. The statistical analysis was carried out with multiple regression analysis using the SPSS statistical package. Results - The analysis shows that the brand credibility and purchasing intention were statistically significant differences between the private convenience store private brand products. Specifically, brand trust showed a statistically significant relationship the brand images and quality levels, but the perceived value was not affected statistically. Although the intent of the purchase showed a statistically significant relationship the quality level and the perceived value, the brand image was not statistically significant in its relationship. Conclusions - Overall, it has been established that the perception value does not statistically affect brand trust for convenience store PB products, and that the brand image has no statistically significant effect on the purchase intent. These results are analyzed to be due to the influence of brand in convenience stores themselves rather than brand trust and purchase intentions that affect sales performance, which is the property of private brand food and beverage products, the perceived value of their products. Accordingly, the study found that not only did the marketing performance of the convenience store PB products be improved statistically, but also the cause of the product attributes that were not statistically significant was identified.

• The Research Journal of the Costume Culture
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• v.7 no.4
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• pp.99-110
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• 1999

In order to help the marketers of the men\`s casual wear brands establish the marketing strategies to their target consumers, it is the purpose of this study to investigate on the variables affecting the casual wear purchase behavior of men in twenties, thirties and forties, and to clarify the differences of casual wear purchase behavior according to their age, The subjects were 429 men in their twenties, thirties and forties living in Seoul and data were analyzed by frequency, percentage, mean and standard deviation, x², ANOVA and Duncan\`s test. The results were as follows : (1) Significant differences were found among men in twenties, thirties and forties according to the self-image. Men in forties favored the conservative and not-noticeable image of casual wear, however, men in twenties and thirties favored those of the active, sexy, and distinctive image. (2) Significant differences were found among men in twenties, thirties and forties according to the importance of the store attributes such as convenience of transportation and parking place, clothing in vogue, and various merchandise. Men in thirties and forties put more importance on convenience of transportation and parking place. Men in forties put more importance on various merchandise than men in twenties and thirties. (3) Significant differences were found among men in twenties, thirties and forties according to general purchase behavior of casual wear. * Differences of the use of information according to age Majority of the men consulted the T.V., radio and people in their boundaries * Differences of the clothing purchase frequency according to age Men in twenties buy more clothing than other age groups. Men in twenties buy the clothing every one month and every three months and men in thirties and forties buy the clothing every three months and every six months. * Differences of the shopping day according to age Majority of the men buy the clothing on Saturday and Sunday. However men in twenties buy the clothing more on weekdays than other age groups. * Differences of the shopping place according There were not significant differences among three different age groups and majority of the men found out to utilize the department store. * Differences of the influence of the partners according to age Men in twenties found out to rely on their own decisions but men in thirties and forties found out to depend on their wives(loves). * Differences of the selection standards of casual wear according to age There were not significant differences according to age and adult males found out to select the casual wear by design, quality price in sequence.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.381-391
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• 2020

The purpose of this study is to investigate the relationship between meal kit product selection attributes, purchasing behavior, and satisfaction. The sampling of the study was conducted for 1 month for customers who have experience in using meal kit products recently launched by a restaurant company, and 287 copies of the questionnaire were used for analysis. For the hypothesis verification, regression analysis was performed using SPSS 20.0 package. As a result of analysis, first, the meal kit product selection attributes and purchase behavior of Hypothesis 1 have a significant effect on diversity (β = .026) and quality (β = .927). Hypothesis 2, meal kit product selection attributes and satisfaction have a significant effect on convenience (β = .503) and price (β = .121). Third, in the purchasing behavior of Hypothesis 3, the purchasing behavior (β = .561) has a significant effect on satisfaction. Lastly, this study is expected to provide basic data for researchers performing meal kit product related research, and to provide a rationale for suggesting direction for product development in a food service company and using marketing strategies.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.219-230
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• 2013

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.137-150
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• 2006

The aim of this study was to determine the relative importance of a set of attributes which influence purchase decision of leaf mustard kimchi such as color, package, taste, availability and price, and to identify tourist product factor combinations which confer the highest utility to tourists of each age group. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all age groups regarded taste and price as the very important factor. Second, it was found that the products with different attribute levels were preferred by age groups. Third, it was found that the most preferred product in each age group was significantly different by cluster. Finally, it was found that the most preferred simulation product was different by age groups.

• Journal of the Korean Society of Costume
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• v.52 no.5
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• pp.187-196
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• 2002

The purpose of this study was to clarify differences in their perceptions in relation to clothing quality and service quality of internet shopping mall according to classified consumer groups by clothing involvement. The 248 questionnaires were collected from female and male students of university who experienced browsing at the website for clothing shopping. Using SPSS Win package, Cronbach's $\alpha$, frequency. percentage, factor analysis, cluster analysis, ANOVA, SNK multiple range test and multiple regression analysis were performed. The results could be summarized as follows. First. the dimension of clothing involvement divided consumers into three different groups: fashion/importance group, pleasure group and symbol group. Second, the significant differences among the classified clothing involvement groups were found in the perceptions in relation to clothing product quality and service quality of internet shopping mall. Third. pleasure and symbol of clothing involvement, physical attributes and expressive goals of clothing quality, and product assortment and promotion of service quality in the internet shopping mall had an effect on the purchase intend of internet shopping mall.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.3
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• pp.297-304
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• 2001

Procurement decisions for inspection equipment are often made heavily based on the initial purchase price instead of the effects of inspection cost, equipment calibration and utilization over the lifetime. Cost of ownership(COO) models that take into account all of these cost factors together have been developed focusing on a single quality characteristic. In modern manufacturing environment, inspection equipment often can deal with more than one quality characteristic simultaneously. In this paper, we propose the revised COO model for the economic evaluation of the inspection equipment that can accommodate multiple quality characteristics. We also employ an engineering economy model to compare equipments with different life span. Software is developed for handy comparison of the COO of alternative equipments along with sensitivity analysis far the optimal procurement decision.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.9-16
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• 2016

Collaborative filtering(CF) uses the purchase or item rating history of other users, but does not need additional properties or attributes of users and items. Hence CF is known th be the most successful recommendation technology. But conventional CF approach has some significant weakness, such as the new user problem. In this paper, we propose a approach using word embedding with skip-gram for learning distributed item representations. In particular, we show that this approach can be used to capture precise item for solving the "new user problem." The proposed approach has been tested on the Movielens databases. We compare the performance of the user based CF, item based CF and our approach by observing the change of recommendation results according to the different number of item rating information. The experimental results shows the improvement in our approach in measuring the precision applied to new user problem situations.