• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• The Journal of Information Systems
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• v.26 no.3
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• pp.211-228
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• 2017

Purpose This study proposes a research model based on Expectation-Confirmation theory in order to investigate impacts of three variables(expectation confirmation, social interaction, and perceived usefulness) on continuous intention to uss SNS in MICE industry. Design/methodology/approach A survey approach was used in order to measure each latent variable in the research model. A total of 140 responses were collected from actual users of SNS in MICE industry. A structural equation modeling with SmartPLS 2.0 was conducted in order to analyze each relationship in the proposed research model. Findings The results indicated the expectation confirmation had a positive impact on the perceived usefulness, social interaction, and satisfaction. Second, perceived usefulness had a significant positive impact on satisfaction and continuous intention to use SNS in MICE industry. Thrid, social interaction had a positive influence on both satisfaction and continuous intention to use SNS in MICE industry. Finally, the relationship between satisfaction and continuous intention in SNS of MICE industry was fully supported.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.305-314
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• 2020

The paper explores the return migration choice of graduates, which takes place during the transition from higher education to the labor market. Graduate students, after a short time in temporary migration to cities for studying, have to make a decision of returning back home or staying in migration in urban areas for working. Drawing on the mechanism identified in the literature on internal migration, this empirical research tests the effects of two factors: place attractiveness and social supports factors on graduates' decision to return migration to hometown. A binary logit regression analysis was conducted with data from 502 surveyed graduates in Hanoi, Vietnam. The analysis of the motives reported by graduates indicates that return migration decisions cannot be reduced to a single dimension. Perceived attractiveness of a region such as quality of living environment, job opportunities, and social context of individuals positively impact on student' decision to return migration after graduation. The research results imply that, in a collectivistic country like Vietnam, students' choice of future career is strongly influenced by their social context, and choosing a place to work is not simply a matter of earning a higher salary or enjoying better working conditions, but is also related to family issues.

• Korean Journal of Social Welfare Studies
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• v.47 no.4
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• pp.281-307
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• 2016

This study is to analyze experiences and perceptions of care workers for enhanced user choice since the introduction of voucher in Korea. The analysis shows that as it has increased the influence of service users on care workers'employment, dismissal, labor intensity, and so on, more and more care workers appear to experience 'labor alienation'such as weakened position in the labor domain, the sense of loss and frustration in the meaning of work, and identity confusion as a care work. Because the labor alienation felt by them possibly has a negative impact on quality of social service, it suggests to address improving service users'rights as well as protecting human rights and rights to work of care workers to provide a high quality social service.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.367-374
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• 2013

Underground infrastructure systems provide essential public services and goods through buried structures including water and sewer, gas and petroleum, power and communication pipelines. The majority of existing underground infrastructure systems was installed in green field areas prior to development of complex urban built environments. Currently, there is a global trend to escalate major demand for underground infrastructure system renewal and new installation while minimizing disruption and maintaining functions of existing superstructures. Therefore, Engineers and utility owners are rigorously seeking technologies that minimize environmental, social, and economic impact during the renewal and installation process. Trenchless technologies have proven to be socially less disruptive, more environmentally friendly, energy conservative and economically viable alternative methods. All of those benefits are adequate to enhance overall sustainability. This paper describes effective sustainable solutions using trenchless technologies. Sustainability is assessed by a comparison between conventional open cut and trenchless technology methods. Sustainability analysis is based on a broad perspective combining the three main aspects of sustainability: economic; environmental; and social. Economic includes construction cost, benefit, and social cost analysis. Environmental includes emission estimation and environmental quality impact study. Social includes various social impacts on an urban area. This paper summarizes sustainable trenchless technology solutions and presents a sustainable construction method selection process in a proposed framework to be used in urban underground infrastructure capital improvement projects.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• Journal of the Earthquake Engineering Society of Korea
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• v.13 no.6
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• pp.47-57
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• 2009

Existing bridges are classified into 4 retrofit groups using the current preliminary screening method, considering key terms such as seismicity, vulnerability and social impact effect. However, some irrationality was found when the current method was applied to 442 existing bridges. As a result, it was determined that quantification and a more detailed classification of seismicity were required. The estimation of the vulnerability of box girder bridges having a long span length should be improved, as this showed a tendency to underestimate. It was also necessary to increase the level of social impact effect to that of vulnerability. In this study, an improved preliminary screening method has been proposed on the basis of the estimation results of existing bridges.

• The Journal of the Korea Contents Association
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• v.6 no.5
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• pp.161-169
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• 2006

This study is based on the sport event(mountains marathon race 2005 in Jecheon) of social and cultural impact. The results were as fallows: Factor analysis of 19 positive impact items produced five dimensions and factor analysis of 9 negative impact items produced two dimensions. As an example of results, younger generations (those in 20s and 30s) and service employees tended to perceive the impacts of the sport event more positively than other age or occupation groups. Thus, the results indicated that attitudes toward the event are likely to differ across socio-demographic characteristics.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.707-717
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• 2020

Global warming affects climate change and has an overall impact on all aspects of life. On the other hand, community behavior and disaster aspects also have an important role in people's lives. This will also have an impact on regional development. This study aims to find the effect of climate, disaster, and social community on rural development. This study uses data on the potential of rural development from PODES 2014, and 2018 data collection on climate conditions and regional status is sourced from relevant ministries. This research uses Ordinary Least Square (OLS) Regression Analysis method, then continued with CHAID analysis to find the segmentation of the role of climate, disaster, and social factors on rural development. The results of this study found that all research regressor variables significantly influence the Rural Development Index (IPD2018), with an R-squared value of 32.9 percent. Efforts need to be taken in order to implement policies that are targeted, effective, and efficient. The results of this study can be a reference for the government in determining policies by focusing on rural development that have high duration of sunshine, cultivating natural disaster warnings, especially in areas prone to natural disasters, and need to focus on underdeveloped areas.

• Journal of Korean Clinical Nursing Research
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• v.21 no.1
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• pp.1-10
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• 2015

Purpose: This study was done to identify the impact of emotional labor, social support, pay satisfaction and professional concept on burnout and intention to stay for infection control nurses and to identify the relationship between burnout and intention to stay. Methods: Participants were 146 nurses who consented and faithfully responded to the research questions. Data were analyzed using SPSS 18.0 and AMOS 20.0. Results: The variables affecting burnout and intention to stay in infection control nurses were identified. Emotional labor (B=.424) had a positive impact on burnout, social support (B=-.528), professional self-concept (B=-1.056) and pay satisfaction (B=-.072) had negative impacts on burnout, social support (B=.392)and pay satisfaction (B=.136) had positive impacts on intention to stay, and burnout had a negative impact on intention to stay. Conclusion: As a result, in order to reduce burnout in infection control nurses and increase their intention to stay, the infection control nurses themselves must invest in education and self-improvement to become specialists while hospitals and the government should make efforts to develop specialists by holding workshops and seminars. In addition, institutional procedures should be put in place so as to oblige hospitals to hire nurse specialists for infection control work in infection control units.