• Title/Summary/Keyword: Multi-stakeholders

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A Systematic Review: Effectiveness of Interventions to De-escalate Workplace Violence against Nurses in Healthcare Settings

  • Somani, Rozina;Muntaner, Carles;Hillan, Edith;Velonis, Alisa J.;Smith, Peter
    • Safety and Health at Work
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    • v.12 no.3
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    • pp.289-295
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    • 2021
  • Workplace violence (WPV) is an increasing cause of concern around the globe, and healthcare organizations are no exception. Nurses may be subject to all kinds of workplace violence due to their frontline position in healthcare settings. The purpose of this systematic review is to identify and consider different interventions that aim to decrease the magnitude/prevalence of workplace violence against nurses. The standard method by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA, 2009) has been used to collect data and assess methodological quality. Altogether, twenty-six studies are included in the review. The intervention procedures they report on can be grouped into three categories: stand-alone trainings designed to educate nurses; more structured education programs, which are broader in scope and often include opportunities to practice skills learned during the program; multicomponent interventions, which often include organizational changes, such as the introduction of workplace violence reporting systems, in addition to workplace violence training for nurses. By comparing the findings, a clear picture emerges; while standalone training and structured education programs can have a positive impact, the impact is unfortunately limited. In order to effectively combat workplace violence against nurses, healthcare organizations must implement multicomponent interventions, ideally involving all stakeholders.

Revisiting the Nexus of Trade Openness and Economic Growth: A Focus on the Moderating Role of Port Infrastructure

  • Lee, Jae-Ho;Pak, Myong-Sop
    • Journal of Korea Trade
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    • v.26 no.2
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    • pp.1-20
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    • 2022
  • Purpose - Multiple stakeholders-including politicians, investors, and the wider public-have questioned the value of investing in port infrastructure improvements and the contributions they can make to economic performance. Design/methodology - This paper presents an empirical study of 56 countries with seaports from the year 2006 to 2019 to determine how the quality of port infrastructure affects its contribution in terms of trade openness and economic growth. To this end, this study applies hierarchical multiple regression analysis with panel data to empirically examine the economic impact of port infrastructure quality on the relationship between trade openness and economic growth. After the 56 selected countries were categorized as developed or developing, a multi-group panel data analysis was conducted. Findings - The results of this study show that trade openness has a significant positive effect on the national economy. The findings also indicate that, although developing countries should expect greater economic growth after investing in port infrastructure, this relationship weakens as developing countries become richer. Originality/value - The findings of this study not only elucidate the relationship between trade openness and national economic growth, but they also emphasize the importance of trade openness and port infrastructure in national economic growth, particularly among developing countries.

Requirements for Operation Procedure and Plan for the Korean Aviation Safety Big-Data Platform based on the Case of FAA ASIAS (국내 항공안전 빅데이터 플랫폼 운영관리체계 수립 중점 - FAA ASIAS를 중심으로 -)

  • Kim, Jun Hwan;Lim, Jae Jin;Park, Yu Rim;Lee, Jang Ryong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.105-116
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    • 2021
  • The importance of a systematic approach to collect, process, analyze, and share safety data in aviation safety management is continuously increasing. Accordingly, the domestic aviation industry has been making efforts to build a Big-data platform that can utilize multi-field safety data generated and managed by various stakeholders and to develop safety management technology based on them. Big data platforms not only must meet appropriate technical requirements, but also need to establish a management system for effective operation. The purpose of this study is to suggest the requirements of the aviation safety big data platform operation procedure and plan by reviewing the advanced overseas cases (FAA ASIAS). This study can provide overall framework and managerial direction for the operation of the aviation safety big data platform.

Roles of Malaysian Online Newspapers in the Construction of Public Opinion on Rare Earth Risks

  • Hasan, Nik Norma Nik;Dauda, Sharafa
    • Asian Journal for Public Opinion Research
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    • v.8 no.4
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    • pp.432-452
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    • 2020
  • This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

ICT-based Cooperative Model for Transparent and Sustainable Scholarly Publishing Ecosystem

  • Jung, Youngim;Seo, Tae-Sul
    • Journal of Contemporary Eastern Asia
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    • v.21 no.1
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    • pp.53-71
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    • 2022
  • The overall purposes of this study are to identify actions taken to counter predatory publishing practices as well as to propose an ICT-based model to detect such practices. The need to raise quantitative performance metrics to support career goals has created immense pressure on researchers to publish in the literature as frequently as possible. This "publish or perish" syndrome appears to be fueling a rise in scholarly journals and conferences that provide quicker and easier routes to publication. However, such avenues sometimes involve questionable academic practices with important ethical ramifications. One notable example is the proliferation of predatory publishing, including predatory journals and fake conferences. The widening impact of such activities is beginning to prompt academic societies, publishers, and institutions to take measures. This paper discusses the issues on predatory publishing practices, and some of the actions taken by various stakeholders to address these practices. In order to build a transparent and sustainable scholarly publishing ecosystem, this study highlights multi-dimensional and specific solutions, including reforms to research ethics codes, research management rules, and legal protection from exploitative practices. This paper proposes an ICT-based cooperative model for monitoring of predatory publishers as a potential solution to create a sustainable and transparent infrastructure for a scholarly publication system guarding against misconduct in publishing practices.

Evaluation of Japan's Official Development Assistance (ODA) Projects on Flood Risk Management in Thailand

  • Jung, Minjung;Lee, Seungho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.210-210
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    • 2022
  • This study evaluates Japan's Official Development Assistance (ODA) projects in Thailand from 2011 to 2013 by deploying the Sendai Framework for Disaster Risk Reduction (SFDRR) and the Organization for Economic Cooperation Development (OECD) evaluation criteria. Special attention is placed on disaster-related development assistance activities of Japan through reviewing long-term impacts of the projects. The Japan International Cooperation Agency (JICA) has played a crucial role in transferring Japan's experiences on disaster risk management to developing countries, including Thailand. The study highlights two flood risk management projects in Thailand with the support of JICA after the 2011 floods, namely the Project for the Comprehensive Flood Management Plan for the Chao Phraya River Basin and the Project for Flood Countermeasures for Thailand Agriculture Sector. The case studies demonstrate that the projects were efficiently and effectively conducted for meeting Thailand's needs and requirements. JICA provided multi-hazards risk analysis through scientific data as well as local knowledge. However, achievements of the project did not last for long because of a lack of Thai stakeholders' commitment and JICA's post-project management. It is concluded that a development agency should consider impacts and sustainability of flood risk management projects more carefully from the stage of planning, and the practical application of the knowledge, and technologies should also be monitored progressively after the completion of the project.

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An Assessment of Coastal Area Using Geographic Information Systems and Multi-Criteria Analysis (지리정보시스템(GIS)과 다기준 분석법(MCA)을 적용한 연안지역 평가)

  • Choi, Hee-Jung;Park, Jung-Jae;Hwang, Chul-Sue
    • Journal of the Korean association of regional geographers
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    • v.13 no.2
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    • pp.143-155
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    • 2007
  • There are many conflicts or interests among various stakeholders on the development of the coastal area. The integrated methodology, which is reflective of physical conditions, socio-economic circumstances, and people's sense of values, is thus needed to solve the problems. In this study, geographical information systems(GIS) and analytic hierarchy process(AHP) that arc one of multi-criteria analysis methodologies are loosely coupled to develop better analytic procedures for coastal assessment. Socio-economic and environmental parameters of the study area, Hampyung Bay area, are converted to a GIS system-applicable format, while AHP is used to assess the relative importance level of each parameter by calculating weighting factors. After standardizing and rasterizing spatial data from various sources. the weighting factors are applied to produce the layers for each parameter. Map algebra and overlay analyses are used to create the final layer according to the decision making logic or model proposed here. Cell values of that layer could be considered as spatial alternatives. In addition to this finding, the flexibility with the weighing factors enable decision-makers to understand the procedures and alternatives in relevance with selective strategies for coastal management.

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Basic Study on Bridge Asset Management Framework and LOS for Efficient Downtown Bridge Maintenance (효율적인 도심지 교량관리를 위한 교량자산관리 체계 및 서비스수준(LOS) 개발을 위한 기초연구)

  • Kim, Gyung-Hyun;Kim, Dong-Jin;Lim, Jong-Kwon;Park, Mi-Yun;Lee, Min-Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.671-679
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    • 2016
  • Bridges, which constitute one of the key facilities in a social infrastructure, are easily accessed and used by users, so that keeping their performance above a certain level is essential. According to various cases in the U.S., Japan and Europe with a long construction history, it is expected that the maintenance cost of bridges in Korea will increase continuously in the future, so a rational decision making system based on engineering factors is necessary to optimize the performance of and maintain them by allocating the limited budget efficiently. This study is a preliminary basic study for the purpose of developing a common asset management system for managing all of the bridges and maintaining the level of service provided by them. The scope of this preliminary study is limited to bridges in urban areas. The bridge asset management system for bridges in urban areas, their level of service (LOS) and performance measure (PM) were developed by carrying out a workshop consisting of both experts and stakeholders. The analysis on the weights of the value and performance measure for each performance indicator was carried out by using the multi-attribute utility theory and the AHP method. In order to confirm the application of the weight of the performance measure and value of the performance indicator, six bridges in an example city were selected, LOS analysis was applied and its results were reviewed.

Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series

  • Byun, Jun-Hyung;Kim, Ji-Ho;Choi, Young-Jin;Lee, Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.35-47
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    • 2020
  • Box-office prediction is important to movie stakeholders. It is necessary to accurately predict box-office and select important variables. In this paper, we propose a multivariate time series classification and important variable selection method to improve accuracy of predicting the box-office. As a research method, we collected daily data from KOBIS and NAVER for South Korean movies, selected important variables using Random Forest and predicted multivariate time series using Deep Learning. Based on the Korean screen quota system, Deep Learning was used to compare the accuracy of box-office predictions on the 73rd day from movie release with the important variables and entire variables, and the results was tested whether they are statistically significant. As a Deep Learning model, Multi-Layer Perceptron, Fully Convolutional Neural Networks, and Residual Network were used. Among the Deep Learning models, the model using important variables and Residual Network had the highest prediction accuracy at 93%.

Policies to Manage Drug Shortages in Selected Countries: A Review and Implications (주요국의 수급불안정 의약품 관리제도에 관한 고찰과 한국에의 시사점)

  • Inmyung Song;Sang Jun Jung;Eunja Park;Sang-Eun Choi;Eun-A Lim;Sanghyun Kim;Dongsook Kim
    • Health Policy and Management
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    • v.34 no.2
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    • pp.106-119
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    • 2024
  • Drug shortage is a persistent phenomenon that poses a public health risk worldwide and occurs due to a range of causes. The purpose of this study is to review key policies to prepare for and respond to drug shortages in selected countries, such as the United States, Canada, and some European countries in order to draw implications. This study reviewed the reports and articles derived from search engines and Google Scholar by using keywords such as drug shortage and stock-out. Over the last decade or so, the United States have strengthened requirements on advance notification for disruption and interruption of drug manufacturing, established the Inter-agency Drug Shortages Task Force to promote the communication and coordination of responses, and expedited drug regulatory processes. Similarly, Canada established the Multi-Stakeholder Steering Committee on drug shortages by involving representatives from central and local governments and private sectors. Canada also adopted a tiered approach to the communication of drug shortages based on the assessment of the severity of the shortage problem and released a detailed information guide on communication. In 2019, the joint task force between the European Medicines Agency and the Heads of Medicines Agencies issued guidelines on drug shortage communication in the European Economic Area. The countries reviewed in this paper focus on communication across different stakeholders for the monitoring of and timely response to drug shortages. The efforts to protect public health from the negative impact of the drug shortage crisis would require multi-sectorial and multi-governmental coordination and development of guidelines.