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1 – 10 of 195Mohammad Ghalambaz, Mikhail A. Sheremet, Mohammed Arshad Khan, Zehba Raizah and Jana Shafi
This study aims to explore the evolving field of physics-informed neural networks (PINNs) through an analysis of 996 records retrieved from the Web of Science (WoS) database from…
Abstract
Purpose
This study aims to explore the evolving field of physics-informed neural networks (PINNs) through an analysis of 996 records retrieved from the Web of Science (WoS) database from 2019 to 2022.
Design/methodology/approach
WoS database was analyzed for PINNs using an inhouse python code. The author’s collaborations, most contributing institutes, countries and journals were identified. The trends and application categories were also analyzed.
Findings
The papers were classified into seven key domains: Fluid Dynamics and computational fluid dynamics (CFD); Mechanics and Material Science; Electromagnetism and Wave Propagation; Biomedical Engineering and Biophysics; Quantum Mechanics and Physics; Renewable Energy and Power Systems; and Astrophysics and Cosmology. Fluid Dynamics and CFD emerged as the primary focus, accounting for 69.3% of total publications and witnessing exponential growth from 22 papers in 2019 to 366 in 2022. Mechanics and Material Science followed, with an impressive growth trajectory from 3 to 65 papers within the same period. The study also underscored the rising interest in PINNs across diverse fields such as Biomedical Engineering and Biophysics, and Renewable Energy and Power Systems. Furthermore, the focus of the most active countries within each application category was examined, revealing, for instance, the USA’s significant contribution to Fluid Dynamics and CFD with 319 papers and to Mechanics and Material Science with 66 papers.
Originality/value
This analysis illuminates the rapidly expanding role of PINNs in tackling complex scientific problems and highlights its potential for future research across diverse domains.
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Minglu Shao, Zhanqi Fang, Mengjie Cheng, Lipei Fu, Kaili Liao and Ailian Chang
At present, research on the preparation of corrosion inhibitors using modified pyrimidine derivatives is still blank. The purpose of this study is to synthesize a new cationic…
Abstract
Purpose
At present, research on the preparation of corrosion inhibitors using modified pyrimidine derivatives is still blank. The purpose of this study is to synthesize a new cationic mercaptopyrimidine derivative quaternary ammonium salt, known as DTEBTAC, that can be used as a corrosion inhibitor to slow down the metal corrosion problems encountered in oil and gas extraction processes.
Design/methodology/approach
A new corrosion inhibitor was synthesized by the reaction of anti-Markovnikov addition and nucleophilic substitution. The weight loss method was used to study the corrosion inhibition characteristics of synthetic corrosion inhibitors. Electrochemical and surface topography analyses were used to determine the type of inhibitor and the adsorption state formed on the surface of N80 steel. Molecular dynamics simulations and quantum chemistry calculations were used to investigate the synthetic corrosion inhibitor’s molecular structure and corrosion inhibition mechanisms.
Findings
The results of the weight loss method show that when the dosage of DTEBTAC is 1%, the corrosion rate of N80 steel in hydrochloric acid solution at 90? is 3.3325 g m-2 h-1. Electrochemical and surface morphology analysis show that DTEBTAC can form a protective layer on the surface of N80 steel, and is a hybrid corrosion inhibitor that can inhibit the main anode. Quantum chemical parameter calculation shows that DTEBTAC has a better corrosion inhibition effect than DTP. The molecular dynamics simulation results show that DTEBTAC has stronger binding energy than DTP, and forms a network packing structure through hydrogen bonding, and the adsorption stability is enhanced.
Originality/value
A novel cationic mercaptopyrimidine derivative quaternium-ammonium salt corrosion inhibitor was designed and provided. Compared with the prior art, the preparation method of the synthesized mercaptopyrimidine derivative quaternary ammonium salt corrosion inhibitor is simple, and the presence of nitrogen-positive ions, sulfur atoms and nitrogen-rich atoms has an obvious corrosion inhibition effect, which can be used to inhibit metal corrosion during oil and gas field exploitation. It not only expands the application field of new materials but also provides a new idea for the research and development of new corrosion inhibitors.
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This chapter examines the world of risk management within fintech. It initiates by emphasizing the crucial role of technology and risk assessment in shaping the fintech landscape…
Abstract
This chapter examines the world of risk management within fintech. It initiates by emphasizing the crucial role of technology and risk assessment in shaping the fintech landscape. It discusses various risk categories prevalent in fintech operations, elucidating the nuances of technology, operational, compliance, strategic, and reputational risks. A comparative analysis across different fintech sub-sectors unveils their distinct risk profiles. The narrative extends to proactive risk management frameworks, contrasting prominent models like the COSO ERM, FAIR Risk Quantification, and NIST Cybersecurity Frameworks. Integral defense measures are scrutinized, encompassing data encryption, access controls, vulnerability assessments, and incident response plans. This chapter underscores the significance of building operational resilience through robust technology infrastructure, regular system updates, disaster recovery planning, and business continuity measures. Ultimately, this chapter culminates in a comprehensive summary, offering pragmatic recommendations to fortify technology risk management in fintech.
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Christian Di Falco, Guido Noto, Carmelo Marisca and Gustavo Barresi
This article aims to provide the current state of the art of the literature on the contribution of information and communication technologies (ICTs) on the measurement and…
Abstract
Purpose
This article aims to provide the current state of the art of the literature on the contribution of information and communication technologies (ICTs) on the measurement and management of performance in the healthcare sector. In particular, the work aims to identify current and emerging ICTs and how these relate to the performance measurement and management (PMM) cycle of healthcare organizations.
Design/methodology/approach
To address the research objective, we adopted a systematic literature review. In particular, we used the preferred reporting items for systematic reviews and meta-analysis (PRISMA) methodology to select articles related to the investigated topic. Based on an initial screening of 560 items retrieved from Scopus and ISI Web of Knowledge, we identified and analyzed 58 articles dealing with ICTs and PMM in the healthcare sector. The last update of the dataset refers to February 2024.
Findings
Although we attempted to address a relevant topic for both research and practice, we noticed that a relatively small sample of articles directly addressed it. Through this literature review, in addition to providing descriptive statistics of research on ICTs and PMM in healthcare, we identified six theoretical clusters of scientific streams focusing on the topic and eleven categories of ICTs effectively tackled by the literature. We then provided a holistic framework to link technologies to the different PMM phases and functions.
Practical implications
Nowadays, the availability of ICTs to support healthcare organizations’ processes and services is extensive. In this context, managers at various organizational levels need to understand and evaluate how each ICT can support different activities to benefit most from their adoption. The findings of this study can offer valuable insights to top and line managers of healthcare organizations for planning their investments in both existing and emerging ICTs to support the various stages of development and functions of PMM.
Originality/value
Most of the current literature focusing on ICTs in the healthcare sector refers to the contribution that technology provides to clinical processes and services, devoting limited attention to the impact of ICTs on administrative processes, such as PMM. To the best of the authors’ knowledge, this represents the first literature review on the contribution of ICTs to PMM in the healthcare sector. The review, differently from other research focused on specific ICTs and/or specific PMM functions, provides a holistic perspective to understand how these technologies may support healthcare organizations and systems in measuring and managing their performance.
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Javier Martínez Falcó, Eduardo Sánchez-García, Bartolomé Marco-Lajara and Umair Akram
This research focuses on analyzing the impact of digital transformation (DT) on the green innovation performance of Spanish wineries, as well as the mediating effect of green…
Abstract
Purpose
This research focuses on analyzing the impact of digital transformation (DT) on the green innovation performance of Spanish wineries, as well as the mediating effect of green knowledge sharing (GKS) on this main relationship, as well as the moderating role of top management environmental awareness (TMEA) on the GKS-green innovation performance linkage. In addition, age, size and protected designation of origin (PDO) membership are used to increase the precision of the cause–effect relationships examined.
Design/methodology/approach
The study proposes a conceptual model based on previous studies, which is tested using partial least squares structural equation modeling, with data collected from 196 Spanish wineries between September 2022 and January 2023.
Findings
The results of the research reveal the existence of a positive and significant relationship between the development of DT and green innovation performance of Spanish wineries, as well as the partial mediation of GKS in this link and a positive moderation of TMEA in the GKS-green innovation performance bond.
Practical implications
Winery executives should prioritize aligning DT with TMEA to drive green innovation performance. Additionally, it is recommended that they actively promote GKS within their wineries to enhance sustainability performance and strengthen their competitive positioning in an eco-conscious market.
Originality/value
The originality of the study derives from its pioneering character, as the research enters unexplored terrain by investigating the role of the GKS as a mediator in the relationship between DT and green innovation performance, as no previous research has ventured in this direction.
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Alshaimaa Bahgat Alanadoly and Suha Fouad Salem
The aim of this study was to investigate the role of immersive gaming on brand coolness and brand equity, with particular emphasis on fashion gaming collaborations. We used game…
Abstract
Purpose
The aim of this study was to investigate the role of immersive gaming on brand coolness and brand equity, with particular emphasis on fashion gaming collaborations. We used game theory as a theoretical framework to analyse immersive branding strategies and gain a deeper understanding of fashion consumers’ decision-making process in gaming environments. Gender, as a significant factor affecting gamers, has been studied as a moderator that impacts the overall proposed framework.
Design/methodology/approach
A quantitative method was used to assess the significance of relationships within the proposed model empirically. The partial least squares structural equation modelling technique was implemented to assess the relationships of the framework with a sample size of 160 active Malaysian gamers.
Findings
The findings indicate that brand equity is positively associated with perceived brand coolness. Furthermore, of the three core values of online games, perceived enjoyment is most strongly associated with perceived brand coolness, ahead of the values of self-expression and perceived emotional challenge. The results of the multigroup analysis further suggest that in the fashion industry, building brand equity through online games is strongly related to perceived brand coolness among female respondents, the role of perceived brand coolness being weaker among male respondents.
Originality/value
The study contributes to the existing literature by providing a deeper understanding of the impact of immersive gaming branding practices on the overall equity of the fashion brand. The results provide insight for fashion brand managers into the significant effect on consumer behaviour outcomes of fashion-gaming collaborations.
研究目的
本研究擬探討身歷其境的遊戲體驗在品牌酷感和品牌資產上所扮演的角色; 研究特別強調裝扮遊戲的合作。研究人員以博弈論作為研究的理論框架,來分析沉浸品牌策略、和對時裝消費者在遊戲的環境中如何作出決策取得更深入的瞭解。研究人員探討了性別作為影響遊戲參與者的重要因素,這因素被視為為整個被提出的框架帶來調節的影響和作用。
研究設計/方法/理念
研究人員採用定量方法進行研究,目的為於被提出的模型內之各種關聯的意義進行以經驗為依據的評估。研究人員採用了基於偏最小平方法的結構方程模型研究法,來對一個包含160名活躍的馬來西亞遊戲參與者的樣本進行框架的各個聯繫的評估研究。
研究結果
研究結果顯示,品牌資產與品牌酷感成正相關; 而且,在網絡遊戲的三個核心價值中,感知享受與品牌酷感之間的聯繫最為強烈和密切,超過自我表現和感知情感挑戰兩者的價值; 多群組的分析結果更暗示了在時裝產業裡,透過網絡遊戲去建立品牌資產在女性回應者中是與品牌酷感有強烈密切的關係; 而在男性回應者中,品牌酷感所扮演的角色則較弱。
研究的原創性/價值
本研究使我們能更深入認識沉浸遊戲品牌的慣常做法如何影響時裝品牌的整體資產。研究結果為時裝品牌經理提供了啟示,使他們明瞭時裝遊戲的合作會給消費者行為產生重要的影響。
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The reported Kullback–Leibler (K–L) distance-based generalized grey target decision method (GGTDM) for mixed attributes is an asymmetric decision-making basis (DMB) that does not…
Abstract
Purpose
The reported Kullback–Leibler (K–L) distance-based generalized grey target decision method (GGTDM) for mixed attributes is an asymmetric decision-making basis (DMB) that does not have the symmetric characteristic of distance in common sense, which may affect the decision-making result. To overcome the deficiency of the asymmetric K–L distance, the symmetric K–L distance is investigated to act as the DMB of GGTDM for mixed attributes.
Design/methodology/approach
The decision-making steps of the proposed approach are as follows: First, all mixed attribute values are transformed into binary connection numbers, and the target centre indices of all attributes are determined. Second, all the binary connection numbers (including the target centre indices) are divided into deterministic and uncertain terms and converted into two-tuple (determinacy and uncertainty) numbers. Third, the comprehensive weighted symmetric K–L distance can be computed, as can the alternative index of normalized two-tuple (deterministic degree and uncertainty degree) number and that of the target centre. Finally, the decision-making is made by the comprehensive weighted symmetric K–L distance according to the rule that the smaller the value, the better the alternative.
Findings
The case study verifies the proposed approach with its sufficient theoretical basis for decision-making and reflects the preferences of decision-makers to address the uncertainty of an uncertain number.
Originality/value
This work compares the single-direction-based K–L distance to the symmetric one and uses the symmetric K–L distance as the DMB of GGTDM. At the same time, different coefficients are assigned to an uncertain number’s deterministic term and uncertain term in the calculation process, as this reflects the preference of the decision-maker.
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Adela Socol and Iulia Cristina Iuga
This study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic…
Abstract
Purpose
This study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic conditions and varying levels of ICT specialists.
Design/methodology/approach
The research employs a dynamic panel data model using the System Generalized Method of Moments (GMM) to analyze the relationship between brain drain and government AI readiness from 2018 to 2022. The study incorporates various control variables such as GDP per capita growth, government expenditure growth, employed ICT specialists and several governance indicators.
Findings
The results indicate that brain drain negatively affects government AI readiness. Additionally, the presence of ICT specialists, robust governance structures and positive macroeconomic indicators such as GDP per capita growth and government expenditure growth positively influence AI readiness.
Research limitations/implications
Major limitations include the focus on a specific region of countries and the relatively short period analyzed. Future research could extend the analysis with more comprehensive datasets and consider additional variables that might influence AI readiness, such as the integration of AI with emerging quantum computing technologies and the impact of governance reforms and international collaborations on AI readiness.
Practical implications
The theoretical value of this study lies in providing a nuanced understanding of how brain drain impacts government AI readiness, emphasizing the critical roles of skilled human capital, effective governance and macroeconomic factors in enhancing AI capabilities, thereby filling a significant gap in the existing literature.
Originality/value
This research fills a significant gap in the existing literature by providing a comprehensive analysis of the interaction between brain drain and government AI readiness. It uses control variables such as ICT specialists, governance structures and macroeconomic factors within the context of the European Union. It offers novel insights for policymakers to enhance AI readiness through targeted interventions addressing brain drain and fostering a supportive environment for AI innovation.
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Wanfeng Zhu, Petia Venkova Sice, Wenchun Zhang, Krystyna Krajewska and Zhangyang Zhao
The purpose of this paper is to bring into the public domain converging ways of thinking about reality and human systems, exploring parallels between the theory of Physical Vacuum…
Abstract
Purpose
The purpose of this paper is to bring into the public domain converging ways of thinking about reality and human systems, exploring parallels between the theory of Physical Vacuum and the concept of Qi in Medical Qigong science.
Design/methodology/approach
The approach adopted in this paper includes: review of the relevant literature; dialogues between the first two authors over an eight-month period; review of the findings and discussion of interpretations by all.
Findings
There is evidence for the existence of an ideal information field. This field is a real space-time torsion structure. Qi is a torsion field. It spreads with superluminal velocity and connects the whole Universe. Any entity is in a constant dynamic connection with everything else in the Universe.
Research limitations/implications
This paper offers limited discussion of the wider area of scientific discoveries.
Social implications
The findings may impact future interdisciplinary research, health/well-being practices and public policy.
Originality/value
There is no known to us publication interpreting the parallels between the theory of the Physical Vacuum and the concept of Qi.
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Dimitrios Salampasis and Georgios Samakovitis
This chapter discusses the contributions and challenges involving regulatory technology (regtech) in financial services. It explores the salient areas where regtech can and should…
Abstract
This chapter discusses the contributions and challenges involving regulatory technology (regtech) in financial services. It explores the salient areas where regtech can and should focus, observing existing and forthcoming industry, technology, and legal developments. This chapter outlines regtech use cases to clarify the shaping of that industry sector. It draws on developments in industry and academia, where significant research sets the tone and direction of technological solutions and regulatory drivers. A brief critical account of the benefits and challenges in regtech is offered. This chapter presents potential future directions, focusing on the salient areas of environmental, social, and governance (ESG), cryptocurrency, and decentralized compliance.
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