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Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

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IEEE engineering Management Review 2025年

作者： Ratna, Silvia Saide, Saide Rater, Salya Svyazhanovna, Baizakova Saule Herzavina, Herzavina Faculty of Information Technology Department of Informatics Engineering and Department of Information Systems Banjarmasin Indonesia State Islamic University of Sultan Syarif Kasim Riau Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau Department of Information Systems Faculty of Science and Technology Indonesia PRO Knowledge Indonesia Pekanbaru Indonesia Universitas Pahlawan Tuanku Tambusai Indonesia Lembaga Enreach UIN Suska Riau Indonesia Politeknik Aceh Selatan Department of Informatics Engineering Aceh Indonesia Information Communication Technologies Robotics in Arkalyk Pedagogical Institute Master of Natural Sciences Educational Program for the Informatics Computer Science Kazakhstan Universitas Pahlawan Tuanku Tambusai Department of Informatics Engineering Indonesia National Taiwan University of Science and Technology Taiwan

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys was adopted and received feedback from sixty (160) Indonesian companies or about 28.07% of response rate. © 1973-2011 IEEE.

关键词： customer knowledge transfer disruption information system/technology (IS/IT) responding knowledge management resource-based view (RBV) Supply chain (SC) sustainability supply chain knowledge transfer

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Mining the Sentiment of Online Gaming from Social-Media: A Consumer Insight

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Procedia Computer Science 2024年 234卷 1069-1075页

作者： Reny Nadlifatin Satria Fadil Persada Gilbert Aldrich Gunawan Yogi Tri Prasetyo Michael Nayat Young Anak Agung Ngurah Perwira Redi Kukuh Lukiyanto Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya 60111 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta 11480 Indonesia School of Industrial Engineering and Engineering & Management Mapua University 658 Muralla St. Intramuros Manila 1102 Philippines Industrial Engineering Department Faculty of Engineering and Technology Sampoerna University Jakarta 12780 Indonesia

The gaming industry has changed since advanced technologies and hardware specifications were able to create the possibility of gaming with connective network or known as online gaming. Some communities are accepting positively, and others are contradicted. Thus, there is an urgency to know the insight from their sentiment. The present research extracts 10 thousand sentiments at social media with sentiment text analysis. The text is interpreted into six based emotions namely anger, disgust, fear, joy, sadness, and surprise. The mining analysis by lexicon valance aware dictionary and sentiment reasoner (VADER) projects the Joy emotions as the domination result with 94.74%. Positive joy expression on online gaming is revealed by extracting the sentiment analysis. In total, ten thousand data were collected from the corpus, which resulted in the happy sentiments that were experienced.

关键词： Sentiment Social media Online gaming Text analysis

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‘Do I Belong Here, There, or Elsewhere?’: The Materiality and Intangible Benefits of Technology in Digital Nomads' Place-Belongingness

‘Do I Belong Here, There, or Elsewhere?’: The Materiality ...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Hesam Mohseni Marcos Antonio de Almeida Daniel Schneider António Correia Faculty of Information Technology University of Jyväskylä Jyväskylä Finland Systems Engineering and Computer Science Program (PESC) Federal University of Rio de Janeiro Rio de Janeiro Brazil Postgraduate Program in Informatics (PPGI) Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (数字)9798350354423

ISBN: (纸本)9798350354430

The advent of digital technology has contributed to experiencing liquid lifestyles and flexible work arrangements with different mobility routes and targets. Escaping the exhausting routine of commuting to and from work has been a key driver of digital nomadism, a phenomenon that has become increasingly widespread across the globe and is often centered around cross-border travel and expatriate settlement. Due to their frequent mobility, digital nomads face unique challenges in fostering a sense of place-belongingness compared to most other types of workers. Despite the popularity of digital nomadic work/life in the current public discourse, there is no standardized guidebook for understanding how digital technology already supports or could potentially support the sense of place-belongingness among these voluntary migrants. Motivated by this line of research, in our paper, we propose an initial guide with practical methodological considerations on how to investigate this phenomenon using qualitative and quantitative materials. Such studies can assist strategists and organizations in attracting new talent and fostering more inclusive environments.

关键词： Liquids Standards organizations Organizations Mediation Faces

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Association of the Factors Affecting Risk Score in HIRADC Form of a Thermal Power Plant 24

Association of the Factors Affecting Risk Score in HIRADC Fo...

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6th International Conference on Management Science and Industrial engineering, MSIE 2024

作者： Uayan, Christian Jay A. Prasetyo, Yogi Tri Novendah, Ierenne Ayuwati, Irene Dyah Cahigas, Maela Madel L. Nadlifatin, Reny School of Industrial and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila1002 Philippines School of Graduate Studies Mapúa University 658 Muralla St. Intramuros Manila1002 Philippines International Bachelor Program in Engineering Yuan Ze University 135 Yuan-Tung Road Chung-Li32003 Taiwan Department of Industrial Engineering and Management Yuan Ze University 135 Yuan-Tung Road Chung-Li32003 Taiwan University of Surabaya Surabaya60284 Indonesia School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia

ISBN: (纸本)9798400717130

In devising an effective Hazard Identification, Risk Assessment and Determining Controls plan of a company, it is crucial to understand the factors that relate with the Inherent and Residual Risks to prioritize the implementation of controls. In this study, the Process Area, Activity, Hazard Category, Inherent Risk Score and Residual Risk Score are brought into Chi-Squared Test to identify which factors are closely associated with Inherent and Residual Risk Scores. Moreover, the factors and range of scores were assessed into categorical level through Phi coefficient analysis. Chi-Squared Test dictates that there is a close relationship between Process Area and the Inherent Risk Score while Activity is closely associated with the Residual Risk Score. Results suggest that the thermal power plant is putting more effort into activities that involve high-level risks especially those that directly affect the environment. © 2024 ACM.

关键词： Thermoelectric power plants

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Mammogram Breast Cancer Classification Based on Deep-Convolutional Neural Network

Mammogram Breast Cancer Classification Based on Deep-Convolu...

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International Seminar on Application for Technology of information and Communication (ISemantic)

作者： Avissa Aurellia Amadea Christy Atika Sari Eko Hari Rachmawanto Wellia Shinta Sari Mohammed S. Noori Mohamed Ayad Alkhafaji Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Study Program in Information Systems University of Dian Nuswantoro Semarang Indonesia Department of Computer Engineering Technology Northern Technical University Mosul Iraq Department of Computer Science National University of Science and Technology DhiQar Iraq

Based on WHO’s data, breast cancer is one of the most deadly diseases that has claimed many victims, especially women. This disease begins with the presence of an undetected and eventually turns into malignant (cancer). This happens due to ignorance of the importance of having a medical check-up even though in good health. Doctors and researchers can prevent the development of tumor cells through treatment that begins with radiological examinations to identify the possibility of a person being affected by this disease. One of the most frequently used techniques is Mammography. This technique can detect the presence of tumor cells using advanced technology and several methods in displaying the patient’s diagnostic results on low-dose X-rays in the form of mammogram images. The technology is inseparable from the methods used to identify the presence of tumor cells. In this study, we have proposed the CNN method based on the deep-CNN model to identify mammogram images in the detection of breast cancer cells with average evaluation results in terms of accuracy, precision, recall, specificity, and f-measure on mammogram image datasets of 99.52%, 99.72%, 99.31%, 99.72%, and 99.5%. These results showed that this method has a good performance in breast cancer detection.

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Exploring Augmented Reality's Influence on Cognitive Load and Emotional Dynamics within UAV Training Environments

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IEEE Transactions on Learning Technologies 2025年 18卷 581-592页

作者： Rahimi, Fatema Sadeghi-Niaraki, Abolghasem Song, Houbing Wang, Huihui Choi, Soo-Mi Sejong University Department of Computer Science and Engineering Convergence Engineering for Intelligent Drone XR Research Center Seoul Korea Republic of Department of Information Systems BaltimoreMD21250 United States St. Bonaventure University Cybersecurity Program St. BonaventureNY14778 United States

This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, EEG data gathering, and post-experiment questionnaires. Twelve participants, selected based on their English proficiency and lack of prior knowledge of the course material, engaged in AR-based learning, while a baseline reading condition was included to contextualize cognitive and emotional engagement. The study findings indicate that the AR group's participants demonstrated notably elevated attention and meditation levels, indicating heightened engagement and focus that is advantageous for efficient assimilation and retention of knowledge. Furthermore, AR learners reported feeling less tired and exhausted, which may have mitigated the negative emotional states that are frequently connected to learning activities. However, no significant differences in negative emotions were observed between the reading and AR groups. These results emphasize the value of customized AR environments for education goals and the need for more study to maximize learning outcomes and affective experiences in AR learning contexts. © 2008-2011 IEEE.

关键词： engineering education

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Customer Preferences for Online Games: A Conjoint Analysis Approach with Market Segmentation 22

Customer Preferences for Online Games: A Conjoint Analysis A...

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Proceedings of the 2022 6th International Conference on Software and e-Business

作者： Rogel Angelo Rebualos Yogi Tri Prasetyo Irene Dyah Ayuwati Satria Fadil Persada School of Industrial Engineering and Engineering Management Mapua University Philippines and School of Graduate Studies Mapua University Philippines School of Industrial Engineering and Engineering Management Mapua University Philippines and International Program in Engineering for Bachelor Yuan Ze University Taiwan Department of Information Systems Institut Teknologi Telkom Surabaya Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Indonesia

ISBN: (纸本)9798400700095

Online games display a unique market with a promising economy; hence many developer companies are exploring and have been utilizing this technology because of good possibility in recent years. This study aimed to determine the composition of online game attribute that is most preferred by customers using a Conjoint Analysis Approach. This study utilized different attributes such as graphics, player-to-player interaction, character creation freedom, game accessibility, monetization, storyline, and business model. An orthogonal design of conjoint analysis was utilized to assess customer preference for online games. A survey was proposed to a community of online game players and segmented among their gender, age, and income. The results showed that business model was the most considered attribute while accessibility and monetization were the least preferred. The findings of this study could be beneficial to both technology corporations developing products that fit their target customers and customers making most of their investment.

关键词： market segmentation preference conjoint online games

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Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach

Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruc...

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IEEE International Symposium on Biomedical Imaging

作者： Maya Fichmann Levital Samah Khawaled Yufei Chen John A. Kennedy Moti Freiman Autonomous Systems Program Faculty of Mathematics College of Electronics and Information Engineering Tongji University Shanghai China Faculty of Nuclear Medicine Rambam Health Care Campus Faculty of Biomedical Engineering Technion – Israel Institute of Technology Haifa Israel

The measurement of uncertainty in deep learning (DL) based reconstruction of Positron Emission Tomography (PET) images is imperative for its successful application in clinical settings, as it is vital for making informed clinical decisions. To address this issue, we propose a fully non-parametric Bayesian framework for uncertainty estimation in DL-based Ultra Low Dose PET image reconstruction. Our framework combines an Adam optimizer with stochastic gradient Langevin dynamics (SGLD) to sample from the underlying posterior distribution. The Bayesian Low Dose (LD) PET reconstruction approach shows a better correlation of the predicted uncertainty to the Dose Reduction Factor (DRF), as compared to the benchmark Monte-Carlo Dropout 95 percentile score (r 2 =0.9174 vs. r 2 =0.6144 on 10, 631 examples at the inference phase). Furthermore, statistically significant improvement was achieved in SSIM, PSNR and NRMSE measures for DRF’s 4, 10, 20, 50 and 100 (paired t-test with p < 0.01).

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Use of Conjoint Analysis Filipino Consumer Preference on Attributes of Fixed Line Internet Service Providers 22

Use of Conjoint Analysis Filipino Consumer Preference on Att...

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Proceedings of the 2022 6th International Conference on Software and e-Business

作者： Justine Kyle Chan Nattakit Yuduang Yogi Tri Prasetyo Irene Dyah Ayuwati Satria Fadil Persada School of Industrial Engineering and Engineering Management Mapua University Philippines and School of Graduate Studies Mapua University Philippines School of Industrial Engineering and Engineering Management Mapua University Philippines and International Program in Engineering for Bachelor Yuan Ze University Taiwan Department of Information Systems Institut Teknologi Telkom Surabaya Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Indonesia

ISBN: (纸本)9798400700095

Internet has evolved from a basic communication medium into wide networks of communication networks where it has become integrated in people's daily lives. Not only that, because of the recent pandemic, the demand for internet has been rapidly increasing. With the integration of internet to our day to day interactions, choosing a provider that is inclined with consumers preference and usage should be the basis. This study aims to determine the Filipino consumer preference on choosing Fixed line internet service providers using Conjoint analysis. The method uses survey questionnaires that is disseminated across the regions of the Philippines. The data gathered from the survey are analyzed using SPSS. The result shows that out of all the attributes considered internet speed is the top priority of the consumers followed by pricing and brand. Overall, this study is beneficial in developing market strategies for companies in the telecommunications industry.

关键词： Internet Service Provider Internet ISP Conjoint Analysis Attributes

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Physarum Route Optimization: Bio-inspired Strategies for Mobile Robot Navigation

Physarum Route Optimization: Bio-inspired Strategies for Mob...

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IEEE Latin American Robotics Symposium, LARS

作者： Dieisson Martinelli André Schneider de Oliveira Vivian Cremer Kalempa Graduate Program in Electrical and Computer Engineering Universidade Tecnológica Federal do Paraná (UTFPR) Curitiba Brazil Department of Information Systems Universidade do Estado de Santa Catarina (UDESC) São Bento do Sul Brazil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

The objective of this project is to explore the applicability of a bioinspired approach, derived from the behavior of the Physarum polycephalum fungus, in optimizing trajectory navigation for mobile robot structures. The precise organism Physarum, which has the capability to quick locate efficient paths among factors in complicated environments, serves as a herbal version for constructing inspired trajectory algorithms. In this project, the development of a trajectory set of rules is proposed, that’s as compared to conventional trajectory introduction techniques, aiming to introduce a novel approach to cellular robot navigation. This work is presented thru a aggregate of experimental observations and computational simulations that show the effectiveness of this bioinspired approach in trajectory choice. As a end result, an set of rules is developed that mimics the behavior of the Physarum and, similarly to conventional navigation algorithms, paves the manner for research and improvement.

关键词： Shortest path problem Navigation Heuristic algorithms Memory management MIMICs Dynamic scheduling Organisms Trajectory Mobile robots Resource management

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