• Culinary science and hospitality research
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• v.16 no.2
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• pp.15-30
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• 2010

This study investigates the effect of seriousness and controllability of service failure on perceived fairness, reliability, satisfaction and loyalty of customers. The result of the study is as follows. First, it was expected that a control-attribute and a seriousness-attribute would have an negative(-) impact on perceived fairness-attribute; however, the result showed that both did not have an negative impact on it. Next, a fairness-attribute of a procedure had a significant effect on trust, and a fairness-attribute of interaction and a fairness-attribute of distribution had a significant effect on trust and satisfaction. Lastly, trust had a significant effect on satisfaction while satisfaction had a significant effect on loyalty. Based of the result of this study, food-service enterprises need to perform a fast process of a recovery to overcome service failure rather than confirming a control-attribute and a seriousness-attribute of service failure. Also, they should set up a process of the recovery in the order of trust, satisfaction, and loyalty and check if this process is promptly carried out.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.1992-2008
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• 2018

Mobile opportunistic network is a kind of ad hoc networks, which implements the multi-hop routing communication with the help of contact opportunity brought about by the mobility of the nodes. It always uses opportunistic data transmission mode based on store-carry-forward to solve intermittent connect problem of link. Although many routing schemes have been proposed, most of them adopt the greedy transmission mode to pursue a higher delivery efficient, which result in unfairness extremely among nodes. While, this issue has not been paid enough attention up to now. In this paper, we analyzed the main factors that reflect fairness among nodes, modeled routing selection as a multiple attribute decision making problem, and proposed our Fairness-aware Routing Strategy, named FARS. To evaluate the performance of our FARS, extensive simulations and analysis have been done based on a real-life dataset and a synthetic dataset, respectively. The results show that, compared with other existing protocols, our FARS can greatly improve the fairness of the nodes when ensuring the overall delivery performance of the network.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.200-214
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• 2024

Amid the flood of data, social network analysis is beneficial in searching for its hidden context and verifying several pieces of information. This can be used for detecting the spread model of infectious diseases, methods of preventing infectious diseases, mining of small groups and so forth. In addition, community detection is the most studied topic in social network analysis using graph analysis methods. The objective of this study is to examine signed attributed social networks and identify the maximal balanced cliques that are both absolute and fair. In the same vein, the purpose is to ensure fairness in complex networks, overcome the "information cocoon" bottleneck, and reduce the occurrence of "group polarization" in social networks. Meanwhile, an empirical study is presented in the experimental section, which uses the personal information of 77 employees of a research company and the trust relationships at the professional level between employees to mine some small groups with the possibility of "group polarization." Finally, the study provides suggestions for managers of the company to align and group new work teams in an organization.

• Journal of the Korean Society of Food Culture
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• v.32 no.6
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• pp.549-557
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• 2017

As many companies are performing brand management as a marketing strategy to establish long-term relationships with their customers, consumers decide the actual purchasing behavior by understanding the brand attributes of the relevant company based on an evaluation standard of the products. This paper provides the basic data for improving the competitiveness of the coffee shop market continuously, and analyzes the influential relationships between each variable by limiting the brand attributes of the coffee shop and the price fairness factor that would be expected to affect the consumers' purchasing behavior as the cause variables. The results showed that the-out of brand attribute factors of the coffee shop, the brand awareness and perceived quality had significant effects on the price fairness while the influence of the shop image on the price fairness was not verified. In addition, all the brand awareness, shop image, and perceived quality had significant effects on the purchasing behavior while the statistical significance between price fairness and purchasing behavior was verified. The rationality of the price presented by the coffee shop could be judged depending on the quality perceived by the consumers. Similarly, once consumers classified the propriety of price and then perceived that a suitable price had been set up regarding the quality and service provided by the coffee shop, it was highly possible for them to include it in their actual purchasing behavior, despite the higher price than other brands'. Further research on the psychological variables affecting the purchasing behavior by securing more diverse consumers to understand their purchasing behavior for a wide range of research subjects and the generalization of research results, will provide useful data for establishing marketing measures necessary to form strong relationships between consumers and brand in the currently-saturated coffee shop market.

• Journal of the military operations research society of Korea
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• v.35 no.1
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• pp.63-82
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• 2009

The purpose of this study is to analyze the problems of current rules and regulations on the source selection for weapon system in defense acquisition project and suggest several techniques to ensure objectivity and fairness. As an application example, Helicopter source selection was presented. It was analyzed and compared through technique application and strength and weakness analysis of AHP, PROMETHEE and Attribute Transformation. The decision making techniques which make all conditions satisfactory in all situations are nonexistent. Thus, it is estimated that we can maintain the objectivity in the source selection of weapon systems by applying suitable decision making techniques in accordance with the patterns of evaluation item.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6B
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• pp.551-563
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• 2011

Water resource projects need an enormous national budget. Therefore, a reasonable and reliable decision making is required for the planning of water resource projects, but decision making has been mostly performed by economic analysis. The objective of this study is to develop a Multi-criteria Decision Making(MCDM) model which can assess the project in various aspects for the selection of preferable alternative and determination of investment priority in water resource projects. In this study, the criteria involves economic feasibility, policies, vulnerability, and sub-items which have weights obtained from the expert survey for the consistent evaluation. We also derived the utility function considering risk trend of each item based on the expert survey. Then, the total score was estimated by weights of each item and utility score of each attribute. The results show that vulnerability is a major contributor for the criteria. This study will contribute to the selection of proper water resource projects considering efficiency of project and fairness for vulnerable area.