• Journal of Information Technology Services
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• v.15 no.2
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• pp.21-33
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• 2016

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.225-234
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• 2019

The study aims to explore key dimensions of service quality of E-Retailing of Islamic banks in the Kingdom of Saudi Arabia. The convenience sample size consists of 373 respondents who regularly use online Islamic banking facilities in Saudi Arabia was used. For measuring the consumers' perspective, a four-factor E-SERVQUAL scale; namely efficiency, system availability, fulfillment, and privacy was used. Exploratory Factor Analysis and Confirmatory Factor Analysis are used to test the model fitness. Structural equation modelling is utilized to determine the impact of E-service quality dimensions on customers' satisfaction. The results of the study reveal that 1) reliability as a dimension of E-retailing of Islamic banks made a significant impact on customers' overall satisfaction; 2) there is a positive significant relationship between responsiveness and customers' overall satisfaction. One unit increased in responsive leads to 0.763 unit increases in the overall satisfaction of the customer; and 3) ease of use is the most important dimensions of service quality of E-retailing of Islamic banks. One unit increases in Security/ Privacy leads to 0.473 unit increases in overall satisfaction. There is a positive impact of good E-service on customers' satisfaction, but it does not override unsatisfactory performance in other areas.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.92-101
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• 1998

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers, service firms need to build an effective and ongoing service qualify information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. Accordingly, the purpose of the present study is twofold. 1. How to get the information on the service quality. 2. How to build a SQIS. An analysis is conducted of SQIS into input, process and output staging. One of numerous examples from financial service-sector firms is given to show SQIS can be developed to improve service qualify. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.17-28
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• 2001

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers(CRM), service firms need to build an effective and ongoing service quality information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. The purpose of the present study is twofold. 1. How to nicely get the information on the service quality. 2. How to build a SQIS. One of numerous examples from financial service-sector firms is given to show that SQIS can be developed to improve service quality. This paper investigates SQIS of a Korean commercial bank as an example. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.76-92
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• 2001

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers(CRM), service firms need to build an effective and ongoing service quality information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. The purpose of the present study is twofold. 1. How to nicely get the information on the service quality. 2. How to build a SQIS. One of numerous examples from financial service-sector firms is given to show that SQIS can be developed to improve service quality This paper investigates SQIS of a Korean commercial bank as an example. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.203-223
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• 2014

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer's responses to the previously recommended item. In specific, our proposed system predicts the user's emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer's emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer's arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer's reaction data including facial expressions and body movements, which can be measured using Microsoft's Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers' responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers' responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

• Knowledge Management Research
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• v.20 no.1
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• pp.175-194
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• 2019

In order to overcome the limitation of market orientation concept, Narver et al. (2004) have extended the original concept into two dimensions, responsive market orientation (RMO) and proactive market orientation (PMO), respectively. Yet, there has been very limited empirical studies that analyzed the differential effects of each market orientation on firm outcomes, especially in the Korean context. We analyze the impact of RMO and PMO on the new product performance in the perspective of SMEs and examine the moderating effect of external factors such as environmental uncertainty and market similarity. The results of this study show that both RMO and PMO have a significant positive effect on the new product performance of SMEs. Also, environment uncertainty shows a negative moderating effect on the relationship between RMO and new product performance, whereas it has positive moderation with PMO. This suggests that focusing on potential customers' needs rather than current needs helps improve firm performance as the competitive environment surrounding the firm becomes more uncertain. Lastly, market similarity showed a positive moderating effect on the relationship between RMO and new product performance, but not on PMO.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.271-283
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• 2015

The purpose of current study was to find differences of selected attributes and visitors of responses according to their lifestyle as perceived by Pocheon Yidong-BBQ-Galbi Festival participants. Survey method was employed and total 370 data was used for statistical analysis. The results of factor analysis showed that three factors were extracted from lifestyle(Activity, Example, Commonness), and four factors were found from festival selection attribute(Food, Service, Program, Cleanliness). In addition, three clusters(Outgoing personality, Gentle character, Normal character) were extracted from the result of cluster analysis. The result of chi-square shows that selection attributes are significantly different by clusters of festival. Therefore the festival host need to focus on various kinds of BBQ along with diverse foods and activities to make attractive cultual experience festival for visitors who visited with family. Additionally, all selection attributes except clearness have significantly influence on responsive relationship. Thus, the organizer should make an effort to provide high quality of various selection attributes. Current study will be contribute to develop various and fascinating local festival expecially related to food.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.71
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• pp.325-350
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• 2016

As the new competitive environment become more global, technologically oriented and customer driven, as customers continually demand higher quality, faster response, and greater reliability of products and services, the new global market demands a more customer responsive behaviour by companies and firms have responded with innovative products and improved manufacturing processes to manufacture products. Further, the shift from traditional manufacturing and purchasing to JIT manufacturing and purchasing requires customers and suppliers to shift from adversarial relationships to strategic partnerships, and information sharing, so as to attain flexibility, reliability, and speed. SCM practices such as supplier collaboration and information sharing is considered as a key to attaining supplier network responsiveness and enhancing the product innovation and the market access time. The current research investigates the effect of SCM practices on supplier network responsiveness, the product innovation and the market access time of export companies. Thus by providing empirical evidence of the said relationships, this study offers useful guidelines for measuring and improving the supplier network responsiveness of a firm, facilitating further research in the area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2157-2177
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• 2024

Demand response (DR) refers to the customers' active reaction with respect to the changes of market pricing or incentive policies. DR plays an important role in improving network reliability, minimizing operational cost and increasing end users' benefits. Hence, the integration of DR in the microgrid (MG) management is gaining increasing popularity nowadays. This paper proposes a day-ahead MG scheduling framework in conjunction with DR and investigates the impact of DR in optimizing load profile and reducing overall power generation costs. A linear responsive model considering time of use (TOU) price and incentive is developed to model the active reaction of customers' consumption behaviors. Thereafter, a novel multi-swarm sine cosine algorithm (MSCA) is proposed to optimize the total power generation costs in the framework. In the proposed MSCA, several sub-swarms search for better solutions simultaneously which is beneficial for improving the population diversity. A cooperative learning scheme is developed to realize knowledge dissemination in the population and a competitive substitution strategy is proposed to prevent local optima stagnation. The simulation results obtained by the proposed MSCA are compared with other meta-heuristic algorithms to show its effectiveness in reducing overall generation costs. The outcomes with and without DR suggest that the DR program can effectively reduce the total generation costs and improve the stability of the MG network.