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Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

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Sustainable Operations and Computers 2023年第1期4卷 200-218页

作者： Gupta, Srikant Kushwaha, Pooja.S. Badhera, Usha Chatterjee, Prasenjit Gonzalez, Ernesto D.R. Santibanez Department of Operations and Decision Sciences Jaipuria Institute of Management Jaipur India Department of Business Analytics Jaipuria Institute of Management Indore India Department of Business Analytics Jaipuria Institute of Management Jaipur India Department of Mechanical Engineering MCKV Institute of Engineering West Bengal 711204 India Post-Doctoral Fellow Management Graduate Program Universidade Paulista Indianópolis Campus Brazil Department of Industrial Engineering and CES 4.0 Faculty of Engineering University of Talca Curico Chile

The e-commerce industry has seen significant growth over the past decade as it focuses on convenience and accessibility, leading to a surge in online shopping with more and more consumers opting for it. At the same time, the e-commerce industry faces various challenges. In order to fully harness the potential of this industry, it is important to identify its benefits and challenges and focus on pathways to mitigate the challenges and harness its growth. This study utilizes the Delphi approach and involves experts from the e-commerce domain to get their opinions to identify the top ten benefits, challenges, and pathways for the e-commerce industry. Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods are subsequently, employed to prioritize the identified factors. Results of the study revealed that factors such as affordable advertising & marketing;availability and product variety;and Global reachability are the most important benefits, while technological upgradation;returns or refunds;and counterfeit products posed the greatest challenges for the industry. Government compliance check;better relationship with delivery partners;and strong data privacy and online security policies emerged as the best pathways. This study also provides valuable insights to businesses, policymakers, and researchers in the e-commerce industry on how to navigate the benefits, challenges, and pathways of this rapidly growing sector. © 2023

关键词： Electronic commerce

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Design and Analysis of a Vertical Electric Ducted Fan for Unmanned Aerial Vehicles 7

Design and Analysis of a Vertical Electric Ducted Fan for Un...

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2023 7th International Conference on Mechanical, Aeronautical and Automotive engineering, ICMAA 2023

作者： Shiau, Y.R. Fang, J. Huang, Y.C. Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

Several types of multirotor unmanned aerial vehicles (UAVs) are widely used in various industrial activities. UAVs with electric ducted fans (EDFs) have been developed to mitigate the risks associated with rotary blades, which are installed on the exterior structure of conventional UAVs and exposed to the ambient environment. Particularly, vertical EDFs have become a focus in the field of UAV design because they require less space for the flow channel compared with horizontal EDFs. In this study, a vertical EDF UAV model was developed. Structural and flow field analysis was performed in Ansys software to determine the optimal design configuration. The results confirmed that the designed model facilitated smooth air flow with favorable inlet and outlet velocity. The vehicle structure required minor adjustment to reduce the frequency of occurrence of vortices. Overall, this study made two research contributions. First, an EDF UAV model was developed to mitigate the risk of rotary blades being exposed to the ambient environment. Second, a vertical EDF system was proposed to reduce the flow channel space and maintain the outlet velocity, thereby improving the takeoff, landing, and thrust performance of UAVs. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Channel flow

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Impact of Mentoring Relationships on Perceived Quality Of Life among engineering graduate Students 67th

Impact of Mentoring Relationships on Perceived Quality Of Li...

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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023

作者： McCallum, Mariah Godwin, Ian Ma, Jiahui Barlow, Hailey Gamage, Dimantha Kottawa McCrory, Bernadette Industrial and Management Systems Engineering Department of Mechanical and Industrial Engineering Montana State University BozemanMT United States

graduate students’ experiences bring on unprecedented challenges, influenced by physical, psychological, social, and environmental factors. Through a productive and authentic mentor-mentee relationship, it was hypothesized graduate students would be more satisfied with their graduate experience. An instrument was developed using the 26-item World Health Organization Quality of Life questionnaire consisting of four health domains (physical, psychological, social relationships, environmental) and additional questions on psychosocial help and the graduate student’s satisfaction with their advisors and overall graduate school experience. Overall, graduate students who were satisfied with their mentoring experience had a higher quality of life (QoL). graduate students’ QoL was lower in social relationships (p=0.009) and psychological domains (p=0.000), similar to medical school students. Second-and third-year graduate students had lower QoL than those in the first or fourth+ year. graduate students were satisfied with their overall mentoring experience, and better mentoring experience tended to have better QoL. © 2023 Human Factors and Ergonomics Society.

关键词： Mentoring Relationship Psychosocial Help World Health Organization Quality of Life

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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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engineering graduate Students’ Attitudes Towards Social Justice 67th

Engineering Graduate Students’ Attitudes Towards Social Jus...

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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023

作者： McCallum, Mariah Barlow, Hailey Ma, Jiahui Godwin, Ian McCrory, Bernadette Industrial and Management Systems Engineering Department of Mechanical and Industrial Engineering Montana State University BozemanMT United States

In post-secondary education engineers are not formally introduced to socially just engineering. This education focuses on technical expertise, often overlooking the social impacts of engineering outputs. Using essay prompts graduate school applicants’ views were assessed on social justice. Odds ratios and Chi-Square analyses were used to associate views on social justice and self-perceived programmatic competencies. While applicants were aware of social justice issues, their main reason for applying was to further career goals. Nearly forty percent of essays suggested that engineers are responsible for optimizing systems and mentioned the department’s inclusive design competencies 33 times. Even though most applicants reported interest in management systems, roughly 31.1% of applications advocated for systems thinking to be the primary social justice mechanism. When prompted, 96.2% of respondents reported that engineers should have a professional and ethical responsibility. Increasing exposure to socially just engineering is critical in producing holistically minded engineers. © 2023 Human Factors and Ergonomics Society.

关键词： higher education social responsibility socially just engineering

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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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Relationship Between Mechanical Deformation and Contact Force Applied by Catheter Tip on Cardiac Muscle: Experimentation and Computer Modeling 5

Relationship Between Mechanical Deformation and Contact Forc...

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5th IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability, ECBIOS 2023

作者： Ijima, Yukako Masnok, Kriengsak Perez, Juan J. Gonzalez-Suarez, Ana Berjano, Enrique Watanabe, Nobuo Master's Program Global Course of Engineering and Science Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan Functional Control Systems Graduate School of Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Saitama Japan Universitat Politecnica de Valencia BioMIT Department of Electronic Engineering Valencia Spain School of Engineering University of Galway Translational Medical Device Lab Galway Ireland Functional Control Systems Graduate School of Engineering and Science College of Systems Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Department of Bio-Science and Engineering Saitama Japan

ISBN: (纸本)9798350320978

The cardiac muscle is elastic and deformable. Pushing a catheter in contact with the cardiac muscle surface to conduct focal energy-based ablative therapies, such as RF ablation, requires an adequate electrode-tissue contact surface to transfer the energy to the target site. In this regard, the relationship between the contact force (CF) and the resulting mechanical response is still unclear, in particular, the insertion depth (ID) and the diameter of the surface deformation. The objective of this study was to quantify these relationships using an ex vivo model and a computational model. A rigid bar with a 2.3 mm diameter blunt tip (mimicking a 7Fr standard ablation catheter) was placed at a perpendicular orientation on a fragment of the porcine heart. CF values ranged from 10 to 80g. We used ANSYS to build a Mooney-Rivlig model of 3 parameters based on hyperelastic material and to simulate the same conditions as in the experiments. The experimental results showed a strong linear correlation between CF and insertion depth ID ($\mathrm{R}^{2}=0.97, \mathrm{P} © 2023 IEEE.

关键词： Catheters

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Development of a Loop Animated Full-Color Metasurface Hologram with High Color Reproduction 1

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15th International Conference on Sensing Technology, ICST 2022

作者： Saito, Hiroki Yamaguchi, Masakazu Ikezawa, Satoshi Iwami, Kentaro Department of Mechanical Systems Engineering Graduate School of Engineering Tokyo University of Agriculture and Technology Tokyo Koganei184-8588 Japan

ISBN: (数字)9783031298714

ISBN: (纸本)9783031298707

This study reports a looped full-color holographic movie using dielectric metasurface that exhibits high color reproducibility. Calculations were made to separate the colors in the target image into those represented by the three de-sign wavelengths (443 nm, 532 nm and 633 nm). Then, by reproducing and superimposing their intensity distributions, we succeeded in demonstrating high color reproducibility. Silicon nitride (SiN) was selected as a metasurface mate-rial for its low absorption with a reasonably high refractive index at the visible region. Compared to conventional color holograms made of single-crystal silicon (c-Si), SiN has excellent transparency, although its refractive index is lower than that of c-Si. Therefore, fabrication with a very high aspect ratio is required. This study solves the difficulty and reports the successful color meta-surface hologram cinematic animation. In order to align the viewing angle of the RGB image, the projected images for each component were superimposed by keeping the ratio between the projected wavelength and pixel periods constant. Furthermore, Three-color metasurface holograms were arranged in a square ring to loop the cinematic animation. The average transmittance in each frame image was 84.9%, which was higher than in previous studies. Finally, a loop-moving full-color holographic image consisting of 30 frames was successfully reproduced at a maxi-mum speed of 5 frames per second. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Color

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Nonparametric Probabilistic Prediction of Regional PV Outputs Based on Granule-based Clustering and Direct Optimization programming

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Journal of Modern Power systems and Clean Energy 2023年第5期11卷 1450-1461页

作者： Yonghui Sun Yan Zhou Sen Wang Rabea Jamil Mahfoud Hassan Haes Alhelou George Sideratos Nikos Hatziargyriou Pierluigi Siano College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing 210098China IEEE Department of Electrical Engineering Tishreen UniversityLatakia 2230Syria National Technical University of Athens Athens 15773Greece Department of Management&Innovation Systems University of SalernoSalerno 84084Italy

Regional photovoltaic(PV) power prediction plays an important role in power system planning and operation. To effectively improve the performance of prediction intervals(PIs) for very short-term regional PV outputs, an efficient nonparametric probabilistic prediction method based on granulebased clustering(GC) and direct optimization programming(DOP) is proposed. First, GC is proposed to formulate and cluster the sample granules consisting of numerical weather prediction(NWP) and historical regional output data, for the enhanced hierarchical clustering performance. Then, to improve the accuracy of samples' utilization, an unbalanced extension is used to reconstruct the training samples consisting of power time series. After that, DOP is applied to quantify the output weights based on the optimal overall performance. Meanwhile, a balance coefficient is studied for the enhanced reliability of PIs. Finally, the proposed method is validated through multistep PIs based on the numerical comparison of real PV generation data.

关键词： Regional photovoltaic output prediction intervals granule-based clustering direct optimization programming nonparametric probabilistic prediction

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Closer through commonality: Enhancing hypergraph contrastive learning with shared groups

Closer through commonality: Enhancing hypergraph contrastive...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Roh, Daeyoung Han, Donghee Kim, Daehee Han, Keejun Yi, Mun Kaist Graduate School of Data Science Korea Republic of Hansung University School of Computer Engineering Korea Republic of Kaist Department of Industrial and Systems Engineering Korea Republic of

ISBN: (纸本)9798350362480

Hypergraphs provide a superior modeling frame-work for representing complex multidimensional relationships in the context of real-world interactions that often occur in groups, overcoming the limitations of traditional homogeneous graphs. However, there have been few studies on hypergraph-based contrastive learning, and existing graph-based contrastive learning methods have not been able to fully exploit the high-order correlation information in hypergraphs. Here, we propose a Hypergraph Fine-grained contrastive learning (HyFi) method designed to exploit the complex high-dimensional information inherent in hypergraphs. While avoiding traditional graph augmentation methods that corrupt the hypergraph topology, the proposed method provides a simple and efficient learning augmentation function by adding noise to node features. Furthermore, we expands beyond the traditional dichotomous relationship between positive and negative samples in contrastive learning by introducing a new relationship of weak positives. It demonstrates the importance of fine-graining positive samples in contrastive learning. Therefore, HyFi is able to produce high-quality embeddings, and outperforms both supervised and unsupervised baselines in average rank on node classification across 10 datasets. Our approach effectively exploits high-dimensional hypergraph information, shows significant improvement over existing graph-based contrastive learning methods, and is efficient in terms of training speed and GPU memory cost. The source code is available at https://***/Noverse0/***. © 2024 IEEE.

关键词： Contrastive Learning

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