• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.33 no.4
• /
• pp.255-263
• /
• 2009

The most concerning issue of these days is the energy crisis caused by increasing threat of dependence on imported oil and volatile market trend. Under these circumstances, the PHEV(plug-in hybrid electric vehicle) is drawing attention for the next generation's car which could give a chance to decrease the dependence on imported oil and reduce the environmental impact of vehicle. The fueling cost of PHEV, one of the core factor of decision about buying car, should be calculated in the circumstances of Korea to make sure that PHEV has competitive power in real market. The fuel cost saving of PHEV versus CV(conventional vehicle) is simulated and discussed in the condition of increasing gasoline cost, electricity rate, and city-gas rate. In conclusion, the PHEV60-FS shows the best economic feasibility when gasoline price goes up. The PHEV20 has the most stable economic feasibility as electricity rate increases. The fuel cell cogeneration system for RPG could be an alternative for charger of PHEV in the near future.

• Proceedings of the Korea Contents Association Conference
• /
• 2004.11a
• /
• pp.483-488
• /
• 2004

Comparison of prices and specifications is a very important informations for the decision of buying selected goods. It is hard to get informations of comparison of prices and specifications at the spot on off-line shopping. In this paper, we propose a system that provides optimized information of goods by PDA mobile phones and other mobile devices. The proposed system consists of a server that include a search robot and clients that can read barcode. When a client send the barcode information scanned by a camera attached his/her mobile device, the server sends the information of the goods to the client.

• Journal of Multimedia Information System
• /
• v.4 no.4
• /
• pp.271-278
• /
• 2017

There has been an influx of traders and researchers eager to gain a better understanding of the market due to the rapid growth of the FOREX market. Traders with varying degree of experience are also often inundated with information, analysis methods as well as trading rules when making a trading decision on buying/selling a currency exchange pair. Thus, this paper reviews the current computational tools and analysis methods used within the FOREX trading community and proposes the development of a web-based trading platform with e-learning features to support beginners. Novice traders could also benefit from the use of the proposed e-learning trading platform as it helps them gain valuable knowledge and navigate the FOREX market in real-time. Even experienced traders would find it useful as the platform could be used for actual trading and acts as a reference point to understand the reasoning behind the certain technical analysis implementation that are still unclear to them.

• The Journal of Information Systems
• /
• v.22 no.4
• /
• pp.85-115
• /
• 2013

Digital knowledge and information goods as experience goods have some unique characteristics such as close to zero reproduction and distribution cost, high price volatility, and low price acceptability. For the reasons, the pricing policies of digital knowledge goods are very difficult and complicate. Also, most consumers of digital goods have experienced cognitive dissonance after buying decision. The purpose of this paper is to investigate what factors affect the price acceptability level and cognitive dissonance of digital knowledge goods buyers. This paper suggest a structural model that was established by the cognitive dissonance theory and S-O-R(Stimulus-Organization-Response) model. The model is consisted of four exogenous variables and three endogenous variables. The empirical test and statistical analysis suggest following results and practical implications. The variables such as product involvement and perception of price fairness that have positive roles to price acceptability have strong influence on the all the three endogenous variables. But the variables such as sale proneness and price mavenism that have negative roles to price acceptability have little influence on the all the three endogenous variables. In the model, the payment intention was very important mediating variable between exogenous variables and two dependent variables, ie. price acceptability and cognitive dissonance. These results imply that the digital knowledge portals must have some differentiated pricing policies to the customers who have price consciousness and price mavenism. Also, they need some special promotions to whom have positive attitude to the value of digital goods.

• Asia pacific journal of information systems
• /
• v.14 no.1
• /
• pp.59-77
• /
• 2004

Even though B2B EC is becoming popular, there have been not so much studies about performance evaluation methodology for B2B systems. In this paper, after analyzing buyer-carts systematically focusing on the buyer's interactional efforts on the typical buying processes of each buyer-cart, we propose a quantitative performance evaluation model. For this, we categorize buyer-carts in B2B EC as s-cart, i-cart, and b-cart depending upon its residing sites: seller, intermediary, and buyer sites. And after proposing the desired features of buyer-carts in B2B EC as identification, collection, trashing, ordering, payment, tracking, recording, purchasing decision support, and transmission of records to e-procurement systems, we derive a performance evaluation model by calculating detail sub-processes from the desired features' viewpoints. By setting variables from a survey on the actual condition of using buyer-carts in companies in Korea, we try to evaluate the performance of buyer-carts in B2B EC. In this paper, we suggest a new methodology of performance evaluation for B2B systems, and show that the b-cart platform is more efficient than other buyer-carts especially in B2B EC.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.10
• /
• pp.5120-5142
• /
• 2018

Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area. Existing studies carried out for review spam detection have exploited feature engineering approach; however limited number of features are considered. This paper proposes a Feature-Centric Model for Review Spam Detection (FMRSD) to detect spam reviews. The proposed model examines a wide range of feature sets including ratings, sentiments, content, and users. The experimentation reveals that the proposed technique outperforms the baseline and provides better results.

• Journal of the Korean Home Economics Association
• /
• v.46 no.9
• /
• pp.7-19
• /
• 2008

This research aims to analyze rational decision behavior in different stages of purchasing for consumers buying household appliance goods and deals with differences in socio-demographic features and relevant variables among completely rational, intermediatedly rational, and irrational groups as well as variables differentiating those groups. First, one third of purchasers for Kimchi refrigerators was the rational consumer while a half of purchasers for side-by-side refrigerators and washing machines was. Second, there was no significant differences in satisfactions levels after purchase between rational and irrational groups among purchasers of side-by-side refrigerators but between completely and intermediately rational groups in the case of Kimchi refrigerators. Rational groups of consumers for Tromm washing machines rely on various places for purchase and also show the high level of intention for repurchase. Third, in studies of variables differentiating rationality in purchase behavioral patterns of consumers, rational choices turn out to prevail (1) among purchasers of married, college graduated, employers, and high income in the case of side-by-side refrigerators, (2) among buyers of male, old-aged, college graduated, non-employers, low, income, and hurrying to purchase in the case of Kimchi refrigerators, and (3) among buyers of old-aged, high income, not hurrying to purchase, and visiting numerous stores in the case of Tromm washing machines.

• Management & Information Systems Review
• /
• v.27
• /
• pp.1-30
• /
• 2008

The objective of this paper is to gain a better understanding of factors influencing digital piracy and the use of paid services on the web. A model identifying and describing various factors which affect decision$\sim$makers' attitude toward sharing digital products and online behavioral intentions is constructed based on established theories of human behavior. The relationship between the continuous intention of sharing the products and the intention to use online services is also discussed. Findings show that a independent relationship exists between illegal and legal behaviors, which means stopping piracy by individuals can not lead to their buying of the products. Also while the attitude toward piracy was significantly related to the continuous intention of piracy behaviors, did not necessarily lead to the use intention of online services. The data also show that beliefs concerning consequences of digital piracy were significant enough to alter one's behavioral attitude. There was a significant relationship between perceived consequences and the intention to pirate digital products or to use paid services. The results also show that while the effect of economical and ethical factors were ascertained, that of social and legal factors have not been found. Self$\sim$efficacy has a moderating effect on the relationship between the attitude toward piracy and both intentions of online behavior. The implications of the findings to research and practice are discussed.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.2
• /
• pp.221-228
• /
• 2020

This study suggests an alternative to the conventional collaborative filtering method for predicting consumer choice, using case-based reasoning. The algorithm of case-based reasoning determines the similarity between the alternative sets that each subject chooses. Case-based reasoning uses the inverse of the normalized Euclidian distance as a similarity measurement. This normalized distance is calculated by the ratio of difference between each attribute level relative to the maximum range between the lowest and highest level. The alternative case-based reasoning based on similarity predicts a target subject's choice by applying the utility values of the subjects most similar to the target subject to calculate the utility of the profiles that the target subject chooses. This approach assumes that subjects who deliberate in a similar alternative set may have similar preferences for each attribute level in decision making. The result shows the similarity between comparable alternatives the consumers consider buying is a significant factor to predict the consumer choice. Also the interaction effect has a positive influence on the predictive accuracy. This implies the consumers who looked into the same alternatives can probably pick up the same product at the end. The suggested alternative requires fewer predictors than conjoint analysis for predicting customer choices.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.939-945
• /
• 2020

This study aims to develop propositions about the factors that influence the purchase intention of private label products. These factors are: in-store promotion, visual merchandising, store image, and customer value. This study elaborates on some of the results of previous studies that have examined the factors that influence purchase intention of private label products that have been published on Google Scholar and indexed by Scopus between 1991- 2020, to develop a proposition. This paper fills a lack of Studies which discuss purchase intention from a consumer behavior perspective. From the perspective of consumer behavior, purchase intention is influenced by three factors, namely: intrinsic factors including: consumer value, extrinsic factors including: in-store promotions, visual merchandising and store image, and consumer factors. This paper defines purchase intention as the effort and strong urge to buy a particular product in the future, the possibility of considering buying the product, the decision to rebuy the product and the desire to recommend the product. The main findings of this research are several propositions, namely: in-store promotion, visual merchandising and store image directly affect customer value and purchase intention. The following propositions are: In-store promotion, visual merchandising and store image influence purchase intention mediated by customer value.