• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.61-72
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• 2010

Spectrum scarcity problem and increasing spectrum demand for new wireless applications have embossed the importance of cognitive radio technology; the technology enables the sharing of channels among secondary (unlicensed) and primary (licensed) users on a non-interference basis after sensing the vacant channel. To enhance the accuracy of sensing, distributed spectrum sensing is proposed. However, it is necessary to provide the robustness against the compromised sensing nodes in the distributed spectrum sensing. RDSS, a fusion mechanism based on the reputation of sensing nodes and WSPRT (weighted sequential probability ratio test), was proposed. However, in RDSS, the execution number of WSPRT could increase according to the order of inputted sensing values, and the fast defense against the forged values is difficult. In this paper, we propose an enhanced fusion mechanism to input the sensing values in reputation order and exclude the sensing values with the high possibility to be compromised, using the trend of reputation variation. We evaluate our mechanism through simulation. The results show that our mechanism improves the robustness against attack with the smaller number of sensing values and more accurate detection ratio than RDSS.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.459-476
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• 2008

The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.225-235
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• 2000

Service quality has become an important factor to meet customer satisfaction in the food service industry where competition is getting severe. Organizations are focused upon strengthening customer loyalty through customer satisfaction. Therefore, this study, taking customers as subjects, is intended to analyze factors affecting customer loyalty, on the basis of service quality satisfaction. In doing. so, the analysis has been done with 232 customers who are purchasing service from the food services industry, for general information, and service quality expectation, service quality satisfaction and overall satisfaction. The results of the study are as below. 1) From a factor analysis, the service quality expectation level of customer has been categorized into 4 factors, which are named General ′General management ′, ′Food′, ′Reliability′and ′Reputation′. 2) From the factor analysis, the service quality satisfaction level of customer has been categorized into 6 factors, which are named ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′ and ′Price′. 3) After classifying customers into 3 groups according to two criteria-"will buy the service again" and "will suggest to others", a comparison has been done for the service quality expectation dimension of customers by each customer group. The result shows that the group having both the "will buy the service again" and "will buy the service again "and "will suggest to others" criteria, that is, with higher customer loyalty, tend to have higher point than other group in factors of ′Food′, ′Reliability′, ′Reputation′(p〈.05). 4) As per the dimension of customer\`s service quality satisfaction level, factors like ′Employee attitude′, ′Food′, ′Reliability′, ′Atmosphere′, ′Reputation′, and ′Price′have shown differences according to each loyalty group(P〈.001). 5) Customers′overall satisfaction level according to each customer loyalty group has been found to be more important for the group having a higher loyalty level(p〈.001) 6) From the discriminant analysis with employing judging variables, such as the customer′s service quality expectation level, service quality satisfaction level and general satisfaction level, customer loyalty groups have been identified as accurately as 68.9% of the explanatory power.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• Journal of the Korean Society of Costume
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• v.33
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• pp.201-215
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• 1997

The purpose of this study was to investigate the actual state and problems of outlet stores. And examine store attributes shopping orientations information sources according to demographic characteristics for outlet store patronage group. The questionnaires were administered to 400 women living in Taegu. The data were analyzed by using Frequency Percentage Factor Analysis MANOVA. The results of the study were as follows; 1) Outlet stores in Taegu area were run as the type of agency and dealt in most brands of their own companies, There were plenty of as-sortment and merchandise. The discount rate was 50-60% Stores' locations were scattered which made shopping environment incon-venient. 2) The store attributes were composed of five factors such as fashion & products diver-sity service store reputation convenience and price. Shopping orientation were com-posed of six factors such as self-confidence for shopping brand oriented store loyalty & near-store oriented economical self-assumed shopping and difficulty of choice. Information sources were composed of four factors such as print media & display personal information advertising and store visit. 3) There were significant differences be-tween patronage group and non-patronage group in store reputation service fashion & products diversity. Patronage group is more satisfied with these three factors. There were significant differences between patronage group and non-patronage group in brand oriented and economical Non-patronage group was more brand oriented and patronage group was more economical. There were significant difference between patronage group and non-patronage group in print dedia & display factos. Non-patronage group made more use of print media& display than patronage group as information sources. There were significant differences between patronage group non-patrpnage group in age marital status and levle of education.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1613-1627
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• 2017

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.2
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• pp.371-391
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• 2023

This study examines the impact of live commerce characteristics on customer responses in the ELM perspective. Based on ELM, the central route is composed of information completeness, accuracy, and currency, and the peripheral route is composed of streamer credibility, streamer reputation, social presence, and system quality. An online survey of female customers aged 20 to 49 who have purchased beauty products through live commerce within the past three months was conducted. The results demonstrate that information completeness and information currency exert significant impact on perceived usefulness and enjoyment. Social presence and system quality also exert significant impact on perceived usefulness and enjoyment. Moreover, perceived usefulness and enjoyment had significant impact on behavioral intention. The effect of information completeness on perceived usefulness and enjoyment was much stronger for high product involvement groups. Furthermore, the effect of streamer reputation on perceived enjoyment was much stronger for high product involvement groups. In contrast, the effect of social presence on perceived usefulness and enjoyment was much stronger for low product involvement groups. This study suggests theoretical implications for applying ELM to live commerce and practical implications for differentiated live commerce marketing strategies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.17-25
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• 2015

This research is to analyze the mediating effect of corporate reputation between the organizational slack and corporate performance in venture SMEs. That is, after controlling the firm size, firm age, social capital, environmental uncertainty, we test three hypothesis. First, we test the hypothesis that organizational slack has a positive effect on corporate reputation. Second, we test the hypothesis that corporate reputation has a positive effect on corporate performance. Third, we test the positive mediating role of corporate reputation between organizational slack and corporate performance. For this research, we administered the questionnaire surveys, and got the 250 effective data(companies) of korean venture SMEs. We use SPSS 18.0, and analysis the validity, reliability, correlation and multiple regression analysis of research model. As a result, we can find the three meaningful results. First, organizational slack, especially not absorbed slack but unabsorbed slack, has positive effect on the corporate reputation. Second, corporate reputation has positive effect on corporate performance. Third, corporate reputation has mediating effect between organizational slack, especially not absorbed slack but unabsorbed slack, and corporate performance. Although this research has some limitations of generalization because of the limited size of samples, we has meaning information related to the venture companies in the academic and business field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.1909-1928
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• 2011

Node cooperation during packet forwarding operations is critically important for fair resource utilization in Community Wireless Mesh Networks (CoWMNs). In a CoWMN, node cooperation is achieved by using fairness protocols specifically designed to detect and isolate malicious nodes, discourage unfair behavior, and encourage node participation in forwarding packets. In general, these protocols can be split into two groups: Incentive-based ones, which are managed centrally, and use credit allocation schemes. In contrast, reputation-based protocols that are decentralized, and rely on information exchange among neighboring nodes. Centrally managed protocols inevitably suffer from scalability problems. The decentralized, reputation-based protocols lacks in detection capability, suffer from false detections and error propagation compared to the centralized, incentive-based protocols. In this study, we present a new fairness protocol management scheme, called Hybrid FPMS that captures the superior detection capability of incentive-based fairness protocols without the scalability problems inherently expected from a centralized management scheme as a network's size and density grows. Simulation results show that Hybrid FPMS is more efficient than the current centralized approach and significantly reduces the network delays and overhead.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.1
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• pp.106-120
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• 2015

This study analyzed the effects of website and consumer's characteristics on price sensitivity as well as the effects of price sensitivity on repurchasing and switching intention. It ascertains differences in: website and consumer's characteristics, price sensitivity, and repurchasing and switching intention according to type of internet shopping mall. A survey was conducted from July 10 to August 20 in 2013, and 492 responses were used for data analysis. As a result, the reputation, ease of price search, and depth of product information positively influenced the price search and the interactivity of website characteristics positively influenced price importance. Product knowledge and information search of fashion consumers positively influenced price sensitivity. Also, the price sensitivity of internet fashion consumer positively influenced repurchasing intention. The price search positively affected the switching intention, while the price importance negatively affected the switching intention. Last, there were significant differences in the reputation, ease of price search, information search, price sensitivity, repurchasing and switching intention according to type of internet shopping mall.