• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.45-54
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• 2008

The purposes of this study are to examine consumer's perception about salesperson services of fashion stores, and how salesperson services influence on consumer's satisfaction, repeat purchase intention by price perception. The data was obtained from a survey of 420 fashion product consumers in their 20's living in Gwangju city in 2006. It was analyzed by factor analyses, reliability, frequency, T-test, regression. The results of the survey were: 1) Salesperson service dimensions perceived by fashion product consumers were 4 dimensions: Customer service orientation,. Relationship orientation, Reliability & sales ability, Salesperson's appearance. 2) Salesperson services influenced on satisfaction of high price perception group and low price perception group. 3) Satisfaction and salesperson service importance influenced on repeat purchase intention of high price perception group and low price perception group. 4) The difference of salesperson services perceptions by store types were examined. The findings of this study are expected to help fashion stores make successful relationship strategy according to price strategy and keep the relationship with their customers for a long time in fashion retail setting.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3923-3942
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• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.251-263
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• 2018

As mobile shopping has increased in the new media age, fashion consumers' decision making and product consumption processes have changed. The volume of consumer-driven information has expanded since media and social networking sites have enabled consumers to share information they obtain. The purpose of this study was to determine the factors affecting information searching strategies and information sharing about fashion products. An online survey collected data from 466 respondents, relating to the influence of product price level and consumer SNS commitment level on information search and information sharing. Experimental design of three product price level and two consumer SNS commitment level was used. Analysis of the data identified factors in fashion information searching as ongoing searching, prepurchase web portal information search, and prepurchase marketing information search. For low-price fashion products, prepurchase product-detail influenced intention to share information. For mid-priced products, ongoing search significantly affected intention to share information. Both ongoing search and prepurchase marketing information search showed significant effects for high-price products. Consumers who are more committed to SNS engaged in significantly more searching in all aspects of information search factors. Significant interaction effect was detected for consumer SNS commitment level and product price level. When consumers with low consumer SNS commitment search for information on lower-priced fashion products, they are less likely do a prepurchase web portal information search.

• Culinary science and hospitality research
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• v.16 no.1
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• pp.269-279
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• 2010

This study investigates 4P's of developing food service products(Focused on Gwangju, Jeonnam area) and intends to set the direction for the relations between product, price, promotion, place and customer satisfaction and customer occupation. Statistical techniques employed includes reliability analysis and regression analysis. The study is based on the 220-questionnaire-survey conducted from July 6 to July 20, 2009 to five foodservice companies in Gwangju. The data collected of this study were analyzed with the frequency analysis, reliability analysis, and regression analysis using the SPSS 12.0 package program. The findings of this study are as follows. Firstly, there are significant product, price, promotion and place factors that affect customer satisfaction. Secondly, there are significant product, price, promotion and place factors that affect customer occupation. Thus, food service management needs to apply product, price, promotion and place strategies aggressively.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.213-220
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• 2021

With the continuing development of the global economy, the scale of international production and management of companies is expanding rapidly nowadays. As a result, it is increasingly important for multinational companies to establish appropriate marketing strategies for products in order to successfully enter overseas markets. When consumers evaluate the quality of products from various countries, they depend heavily on the image of the product as well as the price of the product. Therefore, this study aim to find out how the price, country image, brand image and country of origin image affect on consumer product evaluation and purchase intention. Based on these concepts, the significance of this study is helping local companies make more appropriate marketing strategies by understanding the importance of price and image of a product to companies and knowing more accurate recognition in Korea and Korean-made products of Chinese consumers. The results of this study which used AMOS model showed that 1) The country image and country of origin image for a product had a positive effects on product quality, 2) The price and country image of a product had a positive effects on service quality, 3) And evaluation of product had a positive effects on purchase intention. Based on these results, we made some proposals and presented the future research directions according to the limitations.

• Culinary science and hospitality research
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• v.22 no.8
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• pp.109-121
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• 2016

This study analyzed the effect of five sub-variables' attribute of HMR: features of information, diversity, promptness, price and convenience, on the consumer purchasing intention. In addition, the regulation effect of positive reviews and negative reviews of consumers' online reviews between HMR selection attribute and purchasing intention was also tested. Results are following. First, convenience feature (B=.577, p<.001) and diversity feature (B=.093, p<.01) among the effect of HMR selection attribute had a positive (+) effect on purchasing intention. On the other hand, promptness feature (B=.235, p<.001) and price feature (B=.161, p<.001), and information feature (B=.288, p<.001) were not significant effect on purchasing intention. Second, result of regulation effect of the positive reviews of consumer's online review between the selection attribute of the HMR product and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product is input as an independent variable, there was a significant positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In addition, there was significant positive (+) main effect (B=.472, p<.001) in the second step model in which the consumers' positive reviews, that is a regulation variable. Furthermore, the feature of price (B=.068, p<.05) had a significant positive (+) effect in the third stage in which the selection attribute of the HMR product that is an independent variable and the interaction of the positive review. However, the feature of information (B=-.063, p<.05) showed negative (-) effect, and there was no effect on the features of convenience, diversity, and promptness. Third, as a result of testing the regulation effect of the negative reviews of consumers' online reviews between HMR product selection attribute and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product was a positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In the second-stage model in which consumers' negative reviews (B=-.113, p<.001) had negative (-) effect. In the third-stage in which the selection attribute of the HMR product and the interactions of the negative reviews was a positive (+) effect with the feature of price (B=.113, p<.01). Last, there was no effect at all on the features of convenience, promptness, and information.

• Journal of Korea Game Society
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• v.5 no.2
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• pp.29-36
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• 2005

Determining the price of a newly developed game product is a substantial matter affecting many aspects of corporate management. An appropriate pricing based on the proper data encourages consumers to purchase products repeatedly Yet presently most game companies prefer to set a price according to the cost including developing expense, advertising expense and law materials. As a result that price does not reveal the rue value of the product, many corporations face the demerits in the corporate management including the low sales, the loss of client and the poor promotion. This study has emphasis on the evaluating the price according to the consumer view rather than either corporate or industrial view. The price preference research analysis shows that Korean gamers prefer the price ranging around 30 thousand won in the simulation game, RPG game, and arcade game. In the online game, around 20 thousand won is the preferred price. This difference explains well the features of each game categories.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.62-70
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• 2020

As an effective means of price discrimination, some suppliers offer trade credit to the distributors in order to stimulate the demand for the product they produce. The availability of the delay in payments from the supplier enables discount of the distributor's selling price from a wider range of the price option in anticipation of increased customer's demand. Since the distributor's lot-size is affected by the demand for the customer, the distributor's lot-size and the selling price determination problem is interdependent and must be solved at the same time. Also, in many common business transactions, the distributor pays the shipping cost for the order and hence, the distributor's ordering cost consists of a fixed ordering cost and the shipping cost that depend on the order quantity. In this regard, we deal with the joint lot-size and price determination problem when the supplier allows delay in payments for an order of a product. The positive effects of credit transactions can be integrated into the EOQ (economic order quantity) model through the consideration of retailing situations, where the customer's demand is a function of the distributor's selling price. It is also assumed that the distributor's order cost consists of a fixed ordering cost and the variable shipping cost. We formulate the distributor's mathematical model from which the solution algorithm is derived based on properties of an optimal solution. A numerical example is presented to illustrate the algorithm developed.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.33-49
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• 2010

We empirically examine the impact of online auction knowledge and category-specific knowledge on the final price of online auctions. Specifically, we question how the relationship between buying and selling experiences affects the final prices of online auctions. Related to the trust between buyers and sellers, we examine the multiple interactions between a buyer-seller pairand aim to identify how these repeated transactions influence the final price. To contrast these effects with other product related factors, we focus on so called 'common value' auctions of vintage stamps on eBay, in which the ex-post value of the product is the same among participating agents’ perceived value. Online auction of stamps provides a representative setting to examine the relationship between market experience and the auction participation behavior in the common value auction, as it provides the book value of stamp as well as price variation across individual buyers with different expertise levels. Our analysis of over 3000 stamps auctions on eBay indicates a significantly high frequency of buyer-seller (pair) interactions, thus suggesting a 'relationship view' of auctions. The work validates five hypotheses derived from the existing theory in economics, marketing, and information systems. Through the common-value auction data, we find that seller's online auction experience and category-specific experience favor sellers by increasing the final price. However, buyer's online auction experience does not affect the final price, but buyer's category-specific experience favors buyers by decreasing the final price. We find that the trust between two trading parties increases the final price.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.197-204
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• 2020

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.