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A Framework of Risk Profile in Public Healthcare System Development: A Literature Review 2nd

A Framework of Risk Profile in Public Healthcare System Deve...

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2nd International Symposium on Disaster Resilience and Sustainable Development, 2021

作者： Krutphong, Kodchakorn Tang, Jing Leelawat, Natt Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand International School of Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789811947148

Risk profile has been utilized in a variety of knowledge fields beyond disaster management or risk management it also plays as the tools in assessment process before the planning both in operation and *** public healthcare system is considered as one of the most critical stakeholders during crises such as disasters and *** risk profile in the public healthcare system requires experts to help developing it according to its *** to a limited number of reviews in the field, this review study focuses on the public healthcare system risk profile’s guideline and development from well-known research *** study also provides the SWOT analysis to realize the strengths, weaknesses, opportunities, and threats of each specific guideline for further *** research results found the ratio of the research in the keywords of the risk profile mostly in the field of medicine and rising number since 2011–*** order to develop the risk profile in such a specific area, it is necessary to use the strength part which suits with the appropriate area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk management

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Spatial Distances and Knowledge Acquisition Strategy for Patenting by Indonesian Academic Inventors 5

Spatial Distances and Knowledge Acquisition Strategy for Pat...

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5th International Conference on Advancement in Data Science, E-Learning and Information systems, ICADEIS 2023

作者： Arimbawa, I Wayan Agus Wedashwara, Wirarama Gelana, Kassahun Fauzi, Rahmat Iskandar, Ade Rahhmat University of Mataram Dept. of Informatics Engineering Mataram Indonesia Seoul National University Technology Management Economics and Policy Program Seoul Korea Republic of Telkom University School of Industrial and Systems Engineering Indonesia

ISBN: (纸本)9798350303414

Knowledge acquisition is important for innovation and adaptation of organizations including universities. New knowledge and capabilities can be acquired from inside or outside of the institution. There are large body of literature discuss the interaction of universities and the other Triple-helix model's agents, but rarely found and discuss intra helices interactions. This research explores the characteristics of Indonesian academic inventors' knowledge acquisition strategy for patenting in Indonesia. There are two points of view of this research: firstly, the study discusses the knowledge acquisition strategy of Indonesian universities in regard of the knowledge diversity among two collaborating universities and secondly, how is the magnitude of knowledge gaps between two entities influencing the decision for inhouse or out of university *** the data from Sinta, knowledge diversity index is measured using Shannon entropy index of the academic inventor' expertise, university's department, and university's division. The research recognition's gap between two collaborating inventors is measured using the difference of their Scopus' h-indices. The findings show some interesting facts of how academic inventors strategize their collaboration patterns. First, interuniversity collaborations for patenting reveal more diversity on the academic inventors' knowledge than those are in intra-university collaborations. Second, collaborations for patenting with different universities expect better knowledge spill-overs than collaborations within a university. But, this knowledge spill-over only significant at individual level but not at institutional level. It seems that individual recognition is more important than institutional recognition when choosing a collaboration partner. © 2023 IEEE.

关键词： Knowledge acquisition

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Finding the Important Elements Linked to Integration Problems in the Use of Enterprise Resource Planning systems 9

Finding the Important Elements Linked to Integration Problem...

引用

9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Kristin, Desi Maya Pranata, Dewi Sagita Bina Nusantara University BINUS Graduate Program Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics WC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

Organizations face an urgent need to become faster, more efficient, and more successful in their commercial operations, given the current state of technological evolution and the arrival of Industry 4.0. Many businesses have adopted the idea of enterprise resource planning (ERP) systems to achieve this goal. The ERP system is expected to increase worker productivity, improve business performance to maximize profitability and profits, and provide accurate and up-to-date data and information to management and stakeholders. This research aims to find new variables related to integration problems in the use of ERP systems. Using the SPSS statistical program, the data collected will be examined using quantitative exploratory factor analysis (EFA). Data processing then includes collecting demographic information from respondents, reliability testing, conducting the Kaiser-Meyer-Olkin (KMO) test, testing using an anti-image matrix, and deriving new factors using a rotation component matrix. This research seeks to identify new elements underlying ongoing integration problems in ERP system implementation. The research results show several reasons for underlying integration problems and offer in-depth information to management that can be used to analyze and evaluate the ERP system in their company appropriately in the future so that the company's performance becomes superior to the competition. © 2024 IEEE.

关键词： Profitability

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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Determining Marketing Strategy for Coffee Shops with Conjoint Analysis

Determining Marketing Strategy for Coffee Shops with Conjoin...

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2023 IEEE International Conference on Industrial engineering and engineering management, IEEM 2023

作者： Prasetyo, Yogi Tri Susanto, Krisna Chandra Asiddao, Sheree Mae A. Benito, Omar Paolo Liao, Jui-Hao Young, Michael Nayat Persada, Satria Fadil Nadlifatin, Reny Yuan Ze University International Bachelor Program in Engineering Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

Coffee has become an important part of any individual nowadays. The purpose of this study is to determine the marketing strategy for the coffee shops. This study uses several coffee attributes such as coffee type, sugar level, temperature, coffee beans, and frappe were analyzed by utilizing a conjoint approach. A questionnaire was utilized for this research which collected 500 respondents. Conjoint analysis showed that sugar level was the most important coffee attribute (43.013%), followed by temperature (37.75%), coffee type (14.701%), coffee beans (2.601%), and frappe (1.936%). Interestingly, cold cappuccino with Arabica coffee bean, less sugar, and with frappe was found to be the best combination for marketing strategy. This study can be utilized for developing the marketing strategy of coffee shops. By Understanding the relationship between the factors, coffee shops can find out which factors influence customers the most. © 2023 IEEE.

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Determination of the Factors Influencing the Response Efficacy of Filipinos Under Typhoon Conson 2021 (Jolina)

Determination of the Factors Influencing the Response Effica...

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2023 IEEE International Conference on Industrial engineering and engineering management, IEEM 2023

作者： Prasetyo, Yogi Tri Benito, Omar Paolo Liao, Jui-Hao Ismail, Nagib Gumasing, Ma. Janice J. Persada, Satria Fadil Nadlifatin, Reny International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapüa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

The Philippines is a country prone to natural disasters, such as typhoons. The present study aimed to investigate the response efficacy of the Filipino population under Typhoon Conson 2021, also known as Typhoon Jolina. A stepwise multiple linear regression was utilized to assess a variety of latent variables in the Protection Motivation Theory, such as perceived severity, self-efficacy, response efficacy, and response cost, along with an additional latent variable, geographical perspective. A sum of 388 participants voluntarily participated in a self-administered survey that consisted of 50 questions. It was found that the independent variables, such as geographical perspective, perceived severity, and self-efficacy were proven to have predictive ability on the dependent variable, response efficacy. The findings of this study could serve as a valuable guideline for planners and future researchers seeking to improve preparedness and response efficacy for typhoons. Furthermore, this study can also be employed by local government authorities to establish policies and strategies aimed at natural disaster risk protection. © 2023 IEEE.

关键词： Natural disaster protection motivation theory response efficacy stepwise multiple linear regression typhoon

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OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFI...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Alshraideh, H. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Traffic incidents are non-recurring events that disrupt normal traffic flow and can have negative impacts on traffic operations, safety, and economy. As a result, there is a growing need for developing effective and reliable Automatic Incident Detection (AID) systems to detect incidents as early as possible to minimize their impacts. Machine Learning models, such as Neural Networks and Random Forests, have been utilized to develop AID models. However, the performance of machine learning models is significantly determined by its hyperparameters that need to be tuned to improve its performance in detecting incidents accurately and quickly. In this study, incident and normal traffic scenarios were generated using traffic simulator data, which is used to train and test a Random Forest incident detection model. The proposed methodology uses VISSIM microsimulation software to generate a diverse dataset of incident and normal conditions scenarios. Traffic parameters such as flow rate, speed, and occupancy at upstream and downstream stations were used as input variables for the model. The Random Forest model was trained and tested through RapidMiner software with 5-fold cross validation. Model performance was enhanced through the model hyperparameters tunning. An improvement of 0.35% in the F-score and 0.15% in the overall accuracy was achieved compared to the default model parameters. Findings of this study suggest that the tunning of hyperparameters of Random Forest models is crucial for developing accurate AID systems. The proposed methodology and optimized hyperparameter values provided by this study can be used as a guideline for developing Random Forest models for incident detection in transportation systems. Overall, this study contributes to the development of accurate and efficient traffic incident detection systems, which could help to mitigate the negative impacts of traffic incidents and improve transportation operations, safety, and economy. © 2023 Computers an

关键词： Software testing

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Enhancement and Optimization of the Propulsion System Modules of Unmanned Aerial Vehicles

Enhancement and Optimization of the Propulsion System Module...

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2024 Asia Conference on Electronic Technology, ACET 2024

作者： Shiau, Y.R. Fang, J. Huang, Y.C. Department of Industrial Engineering and Systems Management Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung Taiwan Department of Aerospace and Systems Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung Taiwan

ISBN: (纸本)9781510681361

Unmanned aerial vehicles (UAVs) are widely used in various industries. The present study focused on the optimization of the configuration of the vertical electric ducted fans (EDFs) of UAVs to enhance the vertical takeoff and landing (VTOL) performance of UAVs, improve the configuration of their propulsion system, address the potential risk of exposed propellers, and reduce the space required between the fluid channel and the outlet in horizontal EDFs. A UAV aircraft module with a vertical EDF configuration was designed, following which structural analysis and flow field analysis were conducted using Ansys. The results of these analyses indicate that the overall flow of the designed module is smooth and stable without vortex generation and that the inlet and outlet air velocity performance of this module is excellent. The lift parameters of the rotor groups of the designed module are identical to each other;thus, the flight stability of the UAV in the air can be maintained, and the requirements for optimized design can be met. This study makes two contributions to the literature. First, the structural module of a vertical EDF propulsion system was proposed with an encapsulated impeller set hidden inside the vehicle structure to reduce the risk of propeller exposure. Second, the configuration of vertical EDF compared to the horizontal configuration shortens the airflow channel, which helps to stabilize the wind speed at the outlet, thereby increasing lifting capacity and propulsion efficiency. © 2024 SPIE.

关键词： Propellers

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PROTON CONDUCTION STUDIES ON ZIRCONIUM BASED COMPOSITE MEMBRANES FOR PEM FUEL CELL APPLICATIONS 50

PROTON CONDUCTION STUDIES ON ZIRCONIUM BASED COMPOSITE MEMBR...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Magdi, Tallah Al-Othman, Amani Shamayleh, Abdulrahim Engineering Systems Management MSc Program American University of Sharjah Sharjah United Arab Emirates Department of Chemical and Biological Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Proton exchange membrane (PEM) fuel cells have attracted significant attention due to their low operating temperature, high efficiency, and minimal emissions. Especially when hydrogen is used as fuel, water is the only product. Among the various components of PEM fuel cells, the membrane is crucial one because it enables the transfer of protons from the anode to the cathode, while ensuring that the fuel and oxidant remain separate and do not mix. Hightemperature operation (above the boiling point of water) is desired in PEM fuel cells as it enhances the kinetics and improves water management. However, the current most widely used membrane, Nafion, cannot operate at high temperatures above 90°C due to the membrane's dehydration, resulting in decreased proton conductivity and eventually, fuel cell efficiency. To overcome this issue, this study focuses on the development of new and potentially high-temperature composite membranes. Zirconium silicate, (ZrSiO4)/Polyvinylidene fluoride (PVDF) composite membranes were synthesized in this work with the following ratios: 0 wt.%, 1.5 wt.%, 3 wt.%, and 8 wt.% per mass of membrane solution via a solution casting method. Their proton conductivity was evaluated. The results showed that the addition of ZrSiO4 nanoparticles to the PVDF matrix significantly enhances the proton conductivity of the composite membranes. The highest conductivity value obtained was 2.15 x10-3 Scm-1 with a concentration of 8 wt.% ZrSiO4. The promising proton conductivity reported in this work would be an indication of these membranes' potential in PEM fuel cell applications. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Proton conductivity

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Mean-variance and Safety-first Portfolio Selection Strategy for High-volume/High-value Traded Stocks in Philippine Stock Exchange (PSE)

Mean-variance and Safety-first Portfolio Selection Strategy ...

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2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： De Guzman, T.C. Young, M.N. Prasetyo, Y.T. Persada, S.F. Nadilfatin, R. School of Graduate Studies Mapua University Manila Philippines School of Industrial Engineering and Engineering Management Mapua University Manila Philippines Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

This research evaluates the effectiveness of Mean-Variance (MV) and Safety-First (SF) portfolio selection strategies for high-volume/high-value traded stocks on the Philippine Stock Exchange (PSE). Analyzing data from 288 stocks over 7,670 trading days (30 years), we estimated stock returns, assigned probability weights, and conducted optimization models. The results show that the Mean-Variance (MV0.5) strategy achieved the best balance between risk and return, boasting the highest mean and cumulative returns with moderate volatility. The Safety-First (SF) strategy, however, yielded negative cumulative returns, indicating potential issues. The Market strategy had the lowest mean return but also the least risk, appealing to risk-averse investors. The Portfolio Mean-Variance (PMV) strategy provided a reasonable balance of returns and risk. Statistical analysis revealed that only the MV0.5 strategy outperformed market returns. These findings offer crucial insights into risk assessment and portfolio management for investors evaluating these strategies against market performance. © 2024 IEEE.

关键词： Marketplaces

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