• Journal of the Korean Operations Research and Management Science Society
• /
• v.38 no.1
• /
• pp.69-87
• /
• 2013

Recently a large number of people have been using social networking and microblogging services such as Facebook and Twitter. These mediums play a pivotal communication channel in a business-to-customer (B2C) relationship. Given its importance in today's business, companies have invested in the strategic application of social network services to reach out to customers. This study provides a blueprint for mechanisms for successful execution of social network services in the context of developing an effective B2C relationship, such as customer participation behavior. The S-O-R(Stimulus-Organism-Response) framework lays out the foundation for developing our research model and provides a structured view for understanding customer participation behavior on brand loyalty. For the methodology, this study employed a mixed-method approach. Additionally, in order to provide empirical evidences, a total of 121 respondents have completed the survey. All the data were compiled and analyzed through structural equation modeling and were implemented in partial least square (PLS). To sum up, this study presented theoretical and practical implications by providing the effect of customer participation behavior on brand loyalty through B2C microblogging.

• Journal of dental hygiene science
• /
• v.14 no.2
• /
• pp.214-222
• /
• 2014

This study measures the effect of oral health promotion program based on community networking for elementary school students in community child center. The community networking were constructed of community health center, headquarters for community child center and school of dental hygiene in community. First, we were educated the student and teacher of community child center, separately. Community health center planned and evaluated the program, and school of dental hygiene ran the maintenance program once a month for 3 months and evaluated the program. The teacher of community health center were supported and monitored the children. The comparison was done in independent t-test of awareness, knowledge and behavior of children of community child center in both lower grades and upper grades and paired t-test of patient hygiene performance (PHP) index was conducted before and after oral health promotion program. As a result, PHP index and oral health knowledge increased significantly after oral health program in lower grades and upper grades (p<0.001). The positive attitude for oral health about "Whatever I do, my tooth-will be decayed" increased more in upper grades better than lower grades after oral health promotion program (p<0.05). We suggest that oral health program based on community networking should be constructed for oral health promotion of elementary school students in community child center.

• Human Ecology Research
• /
• v.52 no.4
• /
• pp.429-441
• /
• 2014

The use of smartphones has grown rapidly over a short period of time, particularly for commuting news search, smart banking, and social networking services, and has had a significant impact on the pattern of contemporary life. Further, a wide range of applications are downloaded on to smartphones. This has also led a considerable number of complaints regarding these applications. In this study, we focus on the levels of dissatisfaction that users experience with smartphone applications and their effects on consumer complaint behavior along with the moderating effects of the complaint handling process and attribution. The aim of this study is to verify whether the following hypothesis--2 (low/high dissatisfaction level of smartphone applications)${\times}2$ (poor/excellent complaint handling process)${\times}2$ (internal/external consumer attribution)--is in accordance with the betweengroup design to build a factorial design experiment. The results of this study are as follows. First, the consumer's tendency to complain significantly influenced their dissatisfaction level. Second, consumer complaint behavior is modulated by the complaint handling process. Third, the external-attribution tendency of consumers was found to lead to more dissatisfaction than the tendency for internal attribution.

• Journal of the Korean housing association
• /
• v.21 no.1
• /
• pp.31-42
• /
• 2010

The purpose of this study was to analyze behavioral patterns of elderly residents and to identify the characteristics of using furniture and home appliances by elderly-headed households. For this purpose, field studies that included observation and open-ended interview were conducted with 52 elderly-headed households. The major findings of this study were as follows: elderly-headed households need home appliances with lighter body, lower capacity and simple functions. Furniture for elderly people should be designed to minimize the inconvenience of using western style furniture, also the behavior patterns which are important to the elderly like taking medicine have to be considered. And it is necessary to design furniture and equipments properly to prevent accidents happened in housing. Lastly, because the elderly relies heavily on watching TV, it will be desirable to apply TV-friendly devices such as home networking and home automation. Research results will be useful information on product design to reflect characteristics of elderly and follow-up studies associated with each furniture and appliances and specific living behavior are needed.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.32 no.2
• /
• pp.20-28
• /
• 2024

The purpose of this study is to investigate the impact of negative emotions on the intention to share negative experiences caused by unruly passengers on flights. 163 questionnaires were collected and an SEM model was used to measure the relationship between passengers' negative emotions and sharing intentions. We empirically analyzed the impact of unruly passenger behavior on social media sharing intention through negative emotions, airline trust, and satisfaction with service recovery. Theoretically, we established a clear causal relationship between these variables. The results of this study shed light on the importance of developing a sustainable service strategy for passengers by analyzing the impact of negative emotions and sharing intentions. Based on our findings, we recognized that airlines should respond to disruptive behavior while understanding the negative emotional feelings of surrounding passengers. Therefore, this study strongly recommends that airlines should respond appropriately to in-flight disruptive behavior and ensure that passengers' negative emotions do not damage the overall reputation and image of the airline.

• KEPCO Journal on Electric Power and Energy
• /
• v.2 no.1
• /
• pp.61-69
• /
• 2016

Understanding load patterns and customer classification is a basic step in analyzing the behavior of electricity consumers. To achieve that, there have been many researches about clustering customers' daily load data. Nowadays, the deployment of advanced metering infrastructure (AMI) and big-data technologies make it easier to study customers' load data. In this paper, we study load clustering from the view point of yearly and daily load pattern. We compare four clustering methods; K-means clustering, hierarchical clustering (average & Ward's method) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). We also discuss the relationship between clustering results and Korean Standard Industrial Classification that is one of possible labels for customers' load data. We find that hierarchical clustering with Ward's method is suitable for clustering load data and KSIC can be well characterized by daily load pattern, but not quite well by yearly load pattern.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12
• /
• pp.9-20
• /
• 2021

Abstraction applied in computer networking hides network details behind a well-defined representation by building a model that captures an essential aspect of the network system. Two current methods of representation are available, one based on graph theory, where a network node is reduced to a point in a graph, and the other the use of non-methodological iconic depictions such as human heads, walls, towers or computer racks. In this paper, we adopt an abstract representation methodology, the thinging machine (TM), proposed in software engineering to model computer networks. TM defines a single coherent network architecture and topology that is constituted from only five generic actions with two types of arrows. Without loss of generality, this paper applies TM to model the area of network monitoring in packet-mode transmission. Complex network documents are difficult to maintain and are not guaranteed to mirror actual situations. Network monitoring is constant monitoring for and alerting of malfunctions, failures, stoppages or suspicious activities in a network system. Current monitoring systems are built on ad hoc descriptions that lack systemization. The TM model of monitoring presents a theoretical foundation integrated with events and behavior descriptions. To investigate TM modeling's feasibility, we apply it to an existing computer network in a Kuwaiti enterprise to create an integrated network system that includes hardware, software and communication facilities. The final specifications point to TM modeling's viability in the computer networking field.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.6
• /
• pp.2069-2085
• /
• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• Asia Marketing Journal
• /
• v.17 no.1
• /
• pp.69-95
• /
• 2015

This paper examines a highly used social networking site (SNS) by studying the behavior of more than 11 million members over a 20 month period. The importance of the most highly active members to the overall network is demonstrated by the significant fraction of total visits by extremely active members in a given period but such members have surprisingly short lifespans (an average of only 2.5 months) as social hubs. We form and test a number of hypotheses concerning these social hubs and the determinants of their lifespan. We find that the speed of achieving social hub status increases the lifespan of a social hub. The norm of reciprocity is strongly confirmed to be present in the social hub population as visits are reciprocated. We also find that increasing local dominance in terms of activities over neighboring agents leads to a longer lifespan of a social hub. Contrary to expectations, local clustering in the vicinity of social hubs is smaller (rather than larger) than overall clustering. We discuss managerial implications in the paper.

• The Journal of Information Systems
• /
• v.32 no.4
• /
• pp.69-94
• /
• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.