• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.437-443
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• 2023

We investigates MICE participants's evaluation on the application of smart tourism technology by comparing their importance and performance. Date were collected from MICE participants who had attended in hybrid MICE in recent five years, The three dimensions of smart tourism technology were event management, extension of contents, and community. We found that event management and community affected on overall satisfaction of MICE participants. The result of paired t-test revealed that there were significant differences in audience interaction, webinar, virtual showcase, communication by social hub, virtual marketplace, and matchmaking The importance-performance matrix also indicated that matchmaking, virtual marketplace, audience interaction, communication by social hub, and webinar were major weakness and should be improved in the future.

• Journal of the Korean Home Economics Association
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• v.32 no.5
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• pp.15-28
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• 1994

The purposes of this study are to define the family life events as a input factor of system model and to understand structural characteristics of the family life events in the modern multilateral society have and orientation of the management system leads a satisfactory life. This study attempted through the relation of cause and effect among the components of management system by Deacon & Firebaugh systems theory. The findings of this study are as follows: 1) As for the influence of family life events on the orientation of home management behavior the influential family life event on overall the orientation of home management behavior was social problem of family members($\beta$= -128). 2)Family life events which have influence on the family life satisfaction were financial problem and trouble with husband members problems demand for housework and everyday affairs. 3) The subdivison of home management behavior which influenced on the overall family life satisfaction were communication and decision originality the use of resources and the flexibility of plan. 4) Results of path analysis revealed that relation of cause and effect out of family life events resources the patterns of home management behavior and family life satisfaction the family life events made the family life satisfaction higher because they had negative effect on the family life satisfaction directly but changed total effect into positive one by family management behavior.

• Asian Journal for Public Opinion Research
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• v.1 no.4
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• pp.249-267
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• 2014

Social media is being increasingly utilized in disaster relief work to identify safety issues, locate displaced-victims, and seek or provide support for those who need help. The presence of social media in disaster management has changed significantly in recent years, as it was not prevalent in the 2008 Wenchuan earthquake, but had become a powerful force in the 2013 Ya'an earthquake. This paper discusses the development of social media in disaster management via making a comparison between how it functioned in the two earthquakes. It examines the following aspects: who are the stakeholders that use social media in the earthquake management; how do they adopt this means in response to the earthquakes; and what are the outcomes of adopting social media with regards to public engagement and collaboration in an emergency event. As Sina Weibo acts as the equivalent of China's Twitter, the methodology relies on an analysis of posts in Weibo. The outcomes primarily show that: (1) authorities, celebrities and the public actively adopted social media for the purpose of information dissemination and resource mobilization; and (2) social media users are both content consumers and content generators in the times of earthquakes. The study concludes that social media as a backchannel communication tool is helpful for government institutions, corporations, and nonprofit organizations to build relationships with their stakeholders in the disaster management cycle. The result will interest academics and emergency management practitioners who are concerned with improving disaster communication.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.69-81
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• 2003

To manage a cluster of distributed server systems, a number of management aspects should be considered in terms of configuration management, fault management, performance management, and user management. System performance monitoring and reporting take an important role for performance and fault management. In this paper, we present distributed system architecture modeling of a performance monitoring and reporting tool. Modeling architecture of four subsystems are introduced: node agent, data collection, performance management & report, and DB schema. The performance-related information collected from distributed servers are categorized into performance counters, event data for system status changes, service quality, and system configuration data. In order to analyze those performance information, we use a number of ways to evaluate data corelation. By using some results from a real site of a company and from simulation of artificial workload, we show the example of performance collection and analysis. Since our report tool detects system fault or node component failure and analyzes performances through resource usage and service quality, we are able to provide information for server load balancing, in short term view, and the cause of system faults and decision for system scale-out and scale-up, in long term view.

• The Korean Journal of Emergency Medical Services
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• v.24 no.3
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• pp.65-78
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• 2020

Purpose: The purpose of the study was to investigate the core competency and educational needs of paramedic students in disaster management. Methods: A self-reported questionnaire was completed by 207 paramedic students between June 1 and October 29, 2017. The study instrument included disaster preparedness (15 items), disaster management core competency (26 items), disaster education needs (26 items). Data were analyzed using t-test, ANOVA, and Duncan's multiple range test using IBM SPSS 24.0. Results: The students reported that only 13% had experienced or witnessed disasters; however, 95.2% would be willing to help in the event of a disaster. Their disaster preparedness was 1.84 points on a 3-point scale. We did see differences in disaster preparedness by background: hospital practice (F=5.352, p=.001); fire-fighting practice (F=8.994, p=.000). The students had a core competency of disaster management at 3.25 points on a 5-point scale with differences depending on major satisfaction (F=3.760, p=.006). The level of student demands for disaster education was 4.29 points. Conclusion: If variety of educational environments are provided for disaster-related learning and training, the core competency of disaster management for paramedic students will improve. The students will be available as disaster management experts in various fields, even after graduation.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.120-126
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• 2021

The article analyzes the possibility of using information and innovation experience in training public administration specialists, and also explores the system of training public administration and management specialists abroad. It was determined that in the European Union, Japan and other developed countries, three concepts of qualified personnel training will be developed: the concept of specialized training is focused on the present or near future and is relevant for the respective workplace; the concept of multidisciplinary training is effective from an economic point of view, as it increases intra-production and non-production mobility of an employee; the concept of learner-centered learning with the aim of developing human qualities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.249-261
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• 2022

Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

• Industrial Engineering and Management Systems
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• v.13 no.3
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• pp.297-303
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• 2014

Stock pre-positioning is one of the most important decisions for preparing the stage of emergency logistics planning. In this paper, a mixed integer model for stock pre-positioning is derived to support an emergency disaster relief response against the event of earthquake. A maximum response time limit, budget availability, multiple item types, and capacity restrictions are considered. In the model, the decision of the distribution centers to cover a disaster area and the amount of supplies to be stocked in each distribution center are simultaneously determined to maximize the total expected relief demand of the disaster areas covered by the existing distribution centers. The proposed model is applied to a real case with 33 disaster areas and 16 distribution centers in Indonesia. Several sensitivity analyses are conducted to estimate the fluctuation on the emergency stock pre-positioning planning by changing the maximum response time and budgets.

• The Journal of Fisheries Business Administration
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• v.47 no.4
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• pp.1-13
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• 2016

Fish mortality is the most important success factor in aquaculture management. To analyze the effect of mortality considering biological and economic condition is a important problem in land-based aquaculture. This study is aimed to analyze the effect of mortality for duration of cultivation in land-based aquaculture. This study builds the mathematical model that finds the value of decision variable to minimize cost that sums up the water pool usage cost, sorting cost, fingerling cost and feeding cost under critical standing corp constraint. The proposed mathematical model involves many aspects, both biological and economical: (1) number of fingerlings (2) timing and number of batch splitting event, based on (3) fish growth rate, (4) mortality, and (5) several farming expense. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.