1,010 research outputs found

    A Multi-Criteria Decision-Making Framework to Evaluate the Impact of Industry 5.0 Technologies: Case Study, Lessons Learned, Challenges and Future Directions

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    Smart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies

    GPT models in construction industry: Opportunities, limitations, and a use case validation

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    Large Language Models (LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study's objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry

    Natural and Technological Hazards in Urban Areas

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    Natural hazard events and technological accidents are separate causes of environmental impacts. Natural hazards are physical phenomena active in geological times, whereas technological hazards result from actions or facilities created by humans. In our time, combined natural and man-made hazards have been induced. Overpopulation and urban development in areas prone to natural hazards increase the impact of natural disasters worldwide. Additionally, urban areas are frequently characterized by intense industrial activity and rapid, poorly planned growth that threatens the environment and degrades the quality of life. Therefore, proper urban planning is crucial to minimize fatalities and reduce the environmental and economic impacts that accompany both natural and technological hazardous events

    Interaction of Customer Satisfaction and Digital Service Retention: Evidence of PLS from Indonesian Islamic Banking

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    The Indonesian Islamic banking sector has been transformed by integrating technology in banking services to satisfy customers for retention and market share post-COVID-19. This study, therefore, investigates the impact of Islamic banking digital service quality post-COVID-19 in Indonesia on customer satisfaction and retention. This study applied the construction of an electronic service quality model (E-S-Qual) and a banking service quality model (BSQ) focusing on digital services in Islamic commercial banks in Indonesia after the COVID-19 pandemic. This study also used an explanatory method by collecting survey data from customers of Islamic banks in Indonesia. PLS-SEM analysis tool with SmartPLS tool version 4 was utilized to search for hypothetical evidence. This study uncovered the effect of ease of use, efficiency, interoperability, privacy security, responsiveness, reliability, service cost, and service portfolio on ISBC customer satisfaction. In addition, among the significance of ISBC customer satisfaction on customer retention intention, there was a mediating effect of Islamic financial literacy. Islamic banks, consequently, must maintain a digital service system to meet customers' financial needs through quality control of system infrastructure and continuous network maintenance. Moreover, the demand for strategies to strengthen new digital services through adding features and promoting the advantages of digital financial services is needed to gain market share in the Indonesian financial market

    NEMISA Digital Skills Conference (Colloquium) 2023

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    The purpose of the colloquium and events centred around the central role that data plays today as a desirable commodity that must become an important part of massifying digital skilling efforts. Governments amass even more critical data that, if leveraged, could change the way public services are delivered, and even change the social and economic fortunes of any country. Therefore, smart governments and organisations increasingly require data skills to gain insights and foresight, to secure themselves, and for improved decision making and efficiency. However, data skills are scarce, and even more challenging is the inconsistency of the associated training programs with most curated for the Science, Technology, Engineering, and Mathematics (STEM) disciplines. Nonetheless, the interdisciplinary yet agnostic nature of data means that there is opportunity to expand data skills into the non-STEM disciplines as well.College of Engineering, Science and Technolog

    Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

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    This ļ¬fth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different ļ¬elds of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modiļ¬ed Proportional Conļ¬‚ict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classiļ¬ers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identiļ¬cation of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classiļ¬cation. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classiļ¬cation, and hybrid techniques mixing deep learning with belief functions as well

    Exploring the determinants of digital transformation in its different stages in Dutch SMEs: A digital dynamic capabilities perspective

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    Digital transformation (DT) has become a crucial strategic imperative for organizations seeking to thrive in the rapidly evolving business environment. While digital transformation has been extensively studied in large organizations, there remains a need for more available evidence in the context of (Dutch) SMEs and how organizations go through different DT phases. This dissertation aims to address this gap by adopting a digital dynamic capabilities perspective to explore the determinants of digital transformation in Dutch SMEs and investigate how these determinants change over the different digital transformation phases. This thesis has met these aims by integrating an extensive review of the relevant literature and implementing a qualitative study. The latter includes nine interviews with experts from different Dutch SMEs and an expert panel to validate these findings. The primary conclusions produced by this study include five internal determinants, five external determinants, three sub-capabilities, each of the sensing, seizing, transforming, and safeguarding digital dynamic capability clusters, and five desired digital transformation outcomes. ā€˜Digital safeguardingā€™ has emerged as a novel capability cluster focusing on skills required from the implementation onwards. In conclusion, this study has contributed to a deeper understanding of the differences in the digital transformation determinants and capabilities between large organizations and SMEs. Moreover, this thesis has identified that boundaries between the different digital transformation phases could be fading due to the continuity of digital transformation. Simultaneously, this research has practical relevance as these findings could support Dutch SMEs in navigating their digital transformations. Alternatively, the study could help Joanknecht, a Dutch financial advisory firm, improve its consultancy services. Looking ahead, future researchers should seek to validate and expand upon the presented findings.

    Strategies Community Bank Managers Use to Address Rising Financial Regulations Compliance Costs

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    Increasing financial regulations compliance costs have the potential for adverse business outcomes for community banks. Community bank managers are concerned about increasing financial regulations compliance costs because it is the number one predictor of community banksā€™ failures. Grounded in the resources-based view theory, the purpose of this qualitative single case study was to explore strategies that community bank managers use to mitigate increasing financial regulations compliance costs. The participants were 10 community bank managers and senior staff of a community bank in Maryland who successfully mitigated increasing financial regulations compliance costs. Data were collected using semistructured interviews and reviewing the organizationā€™s internal documents. Through thematic analysis, four themes were identified: training, leadership, proactive approach to regulations, and organization retooling. A key recommendation is for community bank managers to stimulate employeesā€™ innovation and creativity skills through the mediating role of a transformational leadership style. The implications for positive social change include the potential for community banks to improve revenues and profits so they can contribute to the development of the local community they serve

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    Strategies Community Bank Managers Use to Address Rising Financial Regulations Compliance Costs

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    Increasing financial regulations compliance costs have the potential for adverse business outcomes for community banks. Community bank managers are concerned about increasing financial regulations compliance costs because it is the number one predictor of community banksā€™ failures. Grounded in the resources-based view theory, the purpose of this qualitative single case study was to explore strategies that community bank managers use to mitigate increasing financial regulations compliance costs. The participants were 10 community bank managers and senior staff of a community bank in Maryland who successfully mitigated increasing financial regulations compliance costs. Data were collected using semistructured interviews and reviewing the organizationā€™s internal documents. Through thematic analysis, four themes were identified: training, leadership, proactive approach to regulations, and organization retooling. A key recommendation is for community bank managers to stimulate employeesā€™ innovation and creativity skills through the mediating role of a transformational leadership style. The implications for positive social change include the potential for community banks to improve revenues and profits so they can contribute to the development of the local community they serve
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