Research Roadmap Research Articles

Transforming the remittance industry: harnessing the power of blockchain technology

PurposeThis study employs an interpretivist approach to investigate how blockchain technology can transform the remittance industry.Design/methodology/approachWe collected data from blockchain experts with extensive experience, compellingly demonstrating the revolutionary impact of blockchain technology on the remittance sector.FindingsDespite experiencing rapid growth, the global remittance sector still faces challenges such as high costs and lengthy transaction times. However, blockchain technology, known for disrupting emerging industries, offers a decentralized and secure mechanism for containing, storing and managing information. By leveraging rapid block confirmations, blockchain reduces settlement times in remittance transactions, enabling value transfers between parties with just a crypto wallet.Research limitations/implicationsThe implications of this study are profound for theorists, as it validates existing theoretical frameworks, identifies specific pain points and explores exciting opportunities presented by blockchain technology. Additionally, we provide a roadmap for future research and innovation, bridging theory and practice and setting the stage for advancement, fostering knowledge, innovation and the successful integration of blockchain technology in the remittance industry.Originality/valueAnalysis highlights a unanimous consensus among experts regarding the transformative potential of blockchain technology in the remittance industry. This consensus serves as a strong impetus for practitioners to swiftly adopt blockchain-based solutions, capitalizing on opportunities such as stable coin issuance, elimination of intermediaries in foreign exchange trading, access to liquidity and the exploration of new business models. Successfully addressing challenges like congestion and limited reach will ensure seamless integration.

Consumer acceptance of robotic surgeons in health services

Over the course of the preceding half-century, specific advancements in robotic technologies have been assimilated into the continuum of human life in a seamless manner, demonstrating the profound impact of robotics on society. Nevertheless, the actual consumer response to service robots remains a subject of ongoing research, with scant attention paid to it thus far. This study focuses on the potential factors influencing the acceptance of robots in the realm of health services. Specifically, a model has been developed to explain individuals’ willingness to use a robot as a surgeon to correct visual impairment in one eye. The Partial Least Squares Structural Equation Modeling (PLSc-SEM) technique is deployed to validate the proposed hypotheses. The model proposed exhibits a robust explanatory power concerning the intention to utilize the robot surgeon, as evidenced by a high R-squared value of 0.817. The findings show the influence of effort expectancy, performance expectancy, social influence, and perceived risk on the intention to adopt robot services. However, the emotional dimensions, specifically pleasure and arousal, were not observed to exert any significant impact on the intention to employ the proposed robot surgeon. The proposed and tested model serves as a roadmap for future research and holds significant practical implications for the industry, paving the way for a more robot-friendly future in health services.

A review of digital twins and their application in cybersecurity based on artificial intelligence

The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and efficiency over traditional engineering methods. Industry 4.0, factories of the future, and digital twins continue to benefit from the technology and provide enhanced efficiency within existing systems. Due to the lack of information and security standards associated with the transition to cyber digitisation, cybercriminals have been able to take advantage of the situation. Access to a digital twin of a product or service is equivalent to threatening the entire collection. There is a robust interaction between digital twins and artificial intelligence tools, which leads to strong interaction between these technologies, so it can be used to improve the cybersecurity of these digital platforms based on their integration with these technologies. This study aims to investigate the role of artificial intelligence in providing cybersecurity for digital twin versions of various industries, as well as the risks associated with these versions. In addition, this research serves as a road map for researchers and others interested in cybersecurity and digital security.

Casimir Effect in MEMS: Materials, Geometries, and Metrologies-A Review.

Casimir force densities, i.e., force per area, become very large if two solid material surfaces come closer together to each other than 10 nm. In most cases, the forces are attractive. In some cases, they can be repulsive depending on the solid materials and the fluid medium in between. This review provides an overview of experimental and theoretical studies that have been performed and focuses on four main aspects: (i) the combinations of different materials, (ii) the considered geometries, (iii) the applied experimental measurement methodologies and (iv) a novel self-assembly methodology based on Casimir forces. Briefly reviewed is also the influence of additional parameters such as temperature, conductivity, and surface roughness. The Casimir effect opens many application possibilities in microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS), where an overview is also provided. The knowledge generation in this fascinating field requires interdisciplinary approaches to generate synergetic effects between technological fabrication metrology, theoretical simulations, the establishment of adequate models, artificial intelligence, and machine learning. Finally, multiple applications are addressed as a research roadmap.

Computational Fluid-Structure Interaction in Microfluidics.

Micro elastofluidics is a transformative branch of microfluidics, leveraging the fluid-structure interaction (FSI) at the microscale to enhance the functionality and efficiency of various microdevices. This review paper elucidates the critical role of advanced computational FSI methods in the field of micro elastofluidics. By focusing on the interplay between fluid mechanics and structural responses, these computational methods facilitate the intricate design and optimisation of microdevices such as microvalves, micropumps, and micromixers, which rely on the precise control of fluidic and structural dynamics. In addition, these computational tools extend to the development of biomedical devices, enabling precise particle manipulation and enhancing therapeutic outcomes in cardiovascular applications. Furthermore, this paper addresses the current challenges in computational FSI and highlights the necessity for further development of tools to tackle complex, time-dependent models under microfluidic environments and varying conditions. Our review highlights the expanding potential of FSI in micro elastofluidics, offering a roadmap for future research and development in this promising area.

Summary and Roadmap of Breast Cancer Research in the Veterans Affairs.

Women are the largest growing population of Veterans within the U.S. Department of Veterans Affairs (VA) Health Care System. Among women Veterans, breast cancer is the most common malignancy (30% of all cancers), yet little is known about the unique needs of women Veterans with cancer and how to provide them with high quality care. The VA health care system has initiated multiple system-wide systemic efforts, including launching the Breast and Gynecologic Cancer System of Excellence (BGSOE) to address this knowledge gap. This report summarizes the outcomes of the inaugural 2023 VA Women's Cancer Research Conference, which assembled 37 multidisciplinary clinicians, scientists, the VA and civilian partners with a shared goal of advancing VA breast cancer research. Conference objectives were to build a collective vision for improving: (1) referral patterns for breast cancer treatment and patient-level outcomes and (2) molecular and genetic testing patterns across the breast cancer continuum among women Veterans. The meeting hosted 15 speakers at the Houston VA Medical Center. Future research priorities for women Veterans with cancer were identified from discussions and a post-conference survey. We then administered a 13-question post-conference survey to conference attendees. Respondents ranked the research priorities. The survey results show that the cross-cutting cancer research priorities designed to transform cancer care for women Veterans at the VA fit into 5 broad areas of study, including (1) care quality for treatment, (2) improving treatment, (3) care quality of molecular and genetic testing, (4) risk reduction through risk assessment and germline genetic testing, and (5) establishing strategic partnerships. Our data elucidate areas for further investigation to improve the delivery of cancer care.

Secure UAV (Drone) and the Great Promise of AI

UAVs have found their applications in numerous applications from recreational activities to business in addition to military and strategic fields. However, research on UAVs is not going on as quickly as the technology. Especially, when it comes to the security of these devices, the academia is lagging behind the industry. This gap motivates our work in this article as a stepping stone for future research in this area. A comprehensive survey on the security of UAVs and UAV-based systems can help the research community keep pace with, or even lead the industry. Although there are several reviews on UAVs or related areas, there is no recent survey broadly covering various aspects of security. Moreover, none of the existing surveys highlights current and future trends with a focus on the role of an omnipresent technology such as AI. This article endeavors to overcome these shortcomings. We conduct a comprehensive review on security challenges of UAVs as well as the related security controls. Then we develop a future roadmap for research in this area with a focus on the role of AI. The future roadmap is established based on the identified current trends, under-researched topics, and a future look-ahead.

Comprehensive Understanding of Elemental Doping and Substitution of Ni‐Rich Cathode Materials for Lithium‐Ion Batteries via In Situ Operando Analyses

This review explores the challenges and advancements in the development of high‐energy lithium‐ion batteries (LIBs), particularly focusing on the electrochemical and structural stability of Ni‐rich cathode materials. Despite their potential to increase the energy density of LIBs, these cathode materials encounter issues such as irreversible phase transitions and structural degradation during cycling, which ultimately affect their electrochemical performance. Elemental doping/substitution has emerged as promising strategies to address these challenges. However, the precise mechanisms underlying their performance enhancement remain unclear. The objective is to elucidate the complex reaction mechanisms triggered by doping and substitution in Ni‐rich cathode materials by employing in situ operando analyses to uncover their effects on electrochemical behavior and structural integrity during cycling. This comprehensive investigation aims to clarify the roles of elemental dopants or substituents in the crystal structures of Ni‐rich cathode materials, thereby offering valuable insights for the structural engineering of cathode materials in high‐energy LIBs. By elucidating these intricate mechanisms, this review provides a practical roadmap for future research and significantly contributes to LIB technology by guiding material design and optimization strategies in the development of advanced LIBs.

Global Trends in Blue Carbon Research in Mangroves

Objective: To identify the central themes and research trends on blue carbon in mangroves through a bibliometric analysis of the existing global scientific literature. Design/Methodology/Approach: A total of 1,128 scientific documents from the period 1986-2023 were analyzed, obtained from the Scopus database. The Bibliometrix package in R Studio and VOSviewer were used for processing. Results: The results, encompassing 4,602 authors, 94 countries, 64 research areas, and 346 journals, indicated an exponential growth (R² = 0.99) in mangrove carbon research. The most productive author, country, research area, and journal were Lovelock, L. C., the United States of America, environmental sciences, and Science of The Total Environment, respectively. The studies focused on four thematic clusters: carbon storage, sedimentation, carbon dynamics, and climate change and anthropogenic impact. Topics related to blue carbon, carbon stores, climate change, restoration, and remote sensing are currently of significant interest to the scientific community. Study Limitations/Implications: While Scopus covers a vast number of peer-reviewed journals, it may omit some relevant research on the topic. Although the main research themes were identified, more in-depth information on each of them is still needed. Findings/Conclusions: Four globally relevant themes in blue carbon research in mangroves were identified, providing a roadmap for researchers to strategically direct efforts and funding in future scientific investigations.

E-CARGO/RBC Research Guide: A Road Map for Researchers

E-CARGO/RBC Research Guide: A Road Map for Researchers

Mapping the Research Landscape of Intra-Articular Knee Injections: A Bibliometric Analysis Using the Scopus Database.

Intraarticular injection of osteoarthritis knee is one of the treatment options for pain management and delays the need for knee surgery. Various materials have been promoted for the procedure, ranging from corticosteroid to viscosupplement to the more recent autologous biological materials. Despite the increasing attention and interest in regard to the material selection, efficacy, safety, and effect of this intervention, a comprehensive bibliometric analysis using the Scopus database has yet to be conducted. In this bibliometric analysis, we reviewed the Scopus database from 2003 to 2023 to investigate the literature on intraarticular injection for the treatment of knee osteoarthritis. A total of 1,318 articles that satisfied the selection criteria were included in this review. The trend of intervention shows changes since 2006, with corticosteroid injection and hyaluronic acid as the main topics of publication before 2006. However, starting in 2010, there has been a noticeable shift towards biological agents, such as plasma-rich proteins, and autologous materials, including marrow aspiration and stromal vascular fraction. This shift reflects the increasing interest in regenerative medicine and the potential of these newer therapies to provide improved outcomes. The overwhelming majority of the articles were authored by researchers and clinicians from across European countries, the United States of America (USA), and Australia. Similarly, most of the articles with the highest number of citations were authored by researchers and clinicians from these regions. This comprehensive bibliometric analysis using Scopus in the domain of intraarticular injection has the potential to act as a roadmap for researchers, clinicians, and policymakers, facilitating informed decision-making, promoting collaborative initiatives, and guiding the development of future studies to further advance the options of knee intraarticular injection, specifically in the management of knee osteoarthritis.

Integrating organic fertilization and soil tillage techniques to enhance the nutritional attributes of “Royal” grapes (Vitis vinifera L. cv.)

AbstractIn the context of global efforts to improve food quality against the backdrop of climate change and increasing demands for food, this study sought to investigate the influence of tillage and fertilization methods on essential nutritional components. Thus, this extensive investigation into the variability of organic acid, sugar, and vitamin content within berries over the years 2020 to 2022 shows the critical influence of agricultural practices on the nutritional quality of grape. Our findings revealed significant fluctuations in the levels of various organic acids, with oxalic and propionic acids seeing a notable increase in 2022, while tartaric, citric, and maleic acids decreased. Similarly, a significant rise in sucrose, glucose, and fructose levels was documented by 2022, alongside a variable trend in vitamin content. The PCA results revealed a clear impact of tillage and organic amendments on the biochemical composition of Royal grapes. Heatmap findings confirmed the results obtained from PCA and showed that certain treatments resulted in high organic acid content, while others resulted in high sugar content. However, disc harrow and olive blackwater 2021 followed by disc harrow and Antep radish 2021 and no‐tillage broccoli 2020 were the best treatments with a balanced distribution of organic acids, soluble sugars, and vitamins among all treatments. On the other hand, chisel and olive blackwater '20 was the treatment with the lowest ratio of organic acids, sugars, and vitamins, followed by chisel and Antep radish 2020. These results show that the concentration of organic acids, soluble sugars, and vitamins in grapes is more affected by the tillage method than the type of organic fertilizer used. To sum up, our study holds valuable implications for viticulture and agriculture at large, highlighting the potential to tailor farming practices for enhanced nutritional outcomes. Such advancements not only promise to elevate the quality of agricultural produce but also contribute to the broader objective of achieving food security and nutritional adequacy, thus offering a roadmap for future research and practice in sustainable agriculture and viticulture.

The Updated SERC AI and Autonomy Roadmap 2023

AbstractThe first Systems Engineering Research Center (SERC) Artificial Intelligence (AI) and Autonomy Research Roadmap was developed in 2020 and published in the first quarter 2021 special INSIGHT issue on Systems Engineering and AI. This roadmap development was heavily informed by the INCOSE Future of Systems Engineering (FuSE) initiatives. Following on in 2020, INCOSE and the SERC collaborated with the Association for Advancement of AI (AAAI) to execute two workshops entitled “AI meets Systems Engineering.” These resulted in version two of the roadmap which was published as an introductory chapter to the book “Systems Engineering and Artificial Intelligence.” In 2020 through 2023 the SERC hosted four SE4AI/AI4SE workshops with the U.S. Army that have further informed research and application at the intersection of AI and SE. This paper presents the updated version of the roadmap resulting from engagement across those four workshops. It is provided as a means to inform the SE community of the critical research needs and related applications emerging at the intersection of AI and SE.

Predicting Customer Loyalty in the Airline Industry: A Machine Learning Approach Integrating Sentiment Analysis and User Experience

Ensuring customer loyalty is crucial for the success of any airline service provider in today's competitive environment. This study employs machine learning techniques to predict the likelihood of customers revisiting airline services, emphasizing the role of emotional connections in fostering loyalty. By analyzing feedback comments and satisfaction ratings, we explore how sentiments expressed by customers correlate with their propensity to return. Using sentiment analysis and features extracted through the Linguistic Inquiry and Word Count (LIWC) methodology, we categorize sentiments into various dimensions, integrating these with user experience (UX) elements for a comprehensive predictive model. Our methodology includes a robust data collection process, involving an initial survey of 17,000 valid responses and a follow-up survey one year later. We evaluate multiple classifiers, including Decision Tree, Random Forest, and XGBoost, through five-fold cross-validation. Results reveal that XGBoost achieves the highest accuracy of 85% in predicting return visits, highlighting the predictive power of machine learning in understanding customer behavior. These findings offer significant insights for airlines, enabling them to tailor services and strategies to enhance customer satisfaction and loyalty. Our study underscores the importance of sentiment analysis and UX in predicting customer loyalty, providing a roadmap for future research and practical applications in the airline industry.

Advancements in catalysts for zero-carbon synthetic fuel production: A comprehensive review

The quest for sustainable and environmentally friendly energy sources has intensified the focus on zero-carbon synthetic fuel production. Catalysts play a pivotal role in this process, enhancing the efficiency and feasibility of transforming renewable energy sources into synthetic fuels. This comprehensive review delves into recent advancements in catalyst development for zero-carbon synthetic fuel production. It examines the innovative materials and techniques that have emerged to optimize catalytic performance, including nanostructured catalysts, hybrid materials, and biomimetic approaches. The review highlights the significant progress made in understanding and manipulating catalyst properties to achieve higher activity, selectivity, and stability under various reaction conditions. It also explores the integration of advanced characterization techniques and computational modeling in catalyst design, providing insights into the molecular-level interactions and mechanisms driving catalytic processes. Special attention is given to the development of catalysts for key reactions such as water splitting, carbon dioxide reduction, and hydrogenation. The review discusses the challenges associated with scaling up these technologies and the potential environmental impacts, offering a balanced perspective on the feasibility of widespread adoption. Furthermore, the review addresses the synergistic effects of combining different catalytic materials and the potential of using earth-abundant elements to reduce costs and enhance sustainability. The role of electrochemical and photochemical catalysts in driving efficient energy conversion processes is also explored, showcasing the versatility and potential of these technologies in achieving zero-carbon fuel production. In conclusion, this review underscores the transformative potential of advanced catalysts in the quest for sustainable synthetic fuels. It provides a roadmap for future research and development, emphasizing the need for interdisciplinary approaches and collaborative efforts to overcome existing challenges and accelerate the transition to a zero-carbon energy landscape. The advancements in catalyst technology not only promise to revolutionize synthetic fuel production but also contribute significantly to global efforts in mitigating climate change and reducing reliance on fossil fuels.

THE EVOLVING STRATEGIES OF FASHION BRANDS TOWARDS CUSTOMER ENGAGEMENT

Customer engagement has been explored in organizational behavior as well as in advertising literature. Talking about customer engagement, when it comes to fashion retail and marketing, fragmented research has been seen on various aspects of customer engagement. This paper aims to bridge this gap by putting together the research done so far in both traditional and digital marketing in fashion. The paper also attempts to understand the path forward for brand interaction vis-à-vis customer. Driven by advancements in technology and shifting customer behavior, the fashion industry has undergone dramatic changes in the recent years. Marketing strategies have evolved taking clues from these changes in the retail environment. By examining the changing landscape of fashion brand customer engagement, this paper seeks to identify key trends with the goal of outlining a roadmap for further research.

Harnessing immunity: Immunomodulatory therapies in COVID-19.

An overly exuberant immune response, characterized by a cytokine storm and uncontrolled inflammation, has been identified as a significant driver of severe coronavirus disease 2019 (COVID-19) cases. Consequently, deciphering the intricacies of immune dysregulation in COVID-19 is imperative to identify specific targets for intervention and modulation. With these delicate dynamics in mind, immunomodulatory therapies have emerged as a promising avenue for mitigating the challenges posed by COVID-19. Precision in manipulating immune pathways presents an opportunity to alter the host response, optimizing antiviral defenses while curbing deleterious inflammation. This review article comprehensively analyzes immunomodulatory interventions in managing COVID-19. We explore diverse approaches to mitigating the hyperactive immune response and its impact, from corticosteroids and non-steroidal drugs to targeted biologics, including anti-viral drugs, cytokine inhibitors, JAK inhibitors, convalescent plasma, monoclonal antibodies (mAbs) to severe acute respiratory syndrome coronavirus 2, cell-based therapies (i.e., CAR T, etc.). By summarizing the current evidence, we aim to provide a clear roadmap for clinicians and researchers navigating the complex landscape of immunomodulation in COVID-19 treatment.

Accuracy of Electronic Health Record Documentation of Parental Presence: A Data Validation and Quality Improvement Analysis.

Parental presence in the neonatal intensive care unit (NICU) is known to improve the health outcomes of an admitted infant. The use of the electronic health record (EHR) to analyze associations between parental presence and sociodemographic factors could provide important insights to families at greatest risk for limited presence during their infant's NICU stay, but there is little evidence about the accuracy of nonvital clinical measures such as parental presence in these datasets. A data validation study was conducted comparing the percentage agreement of an observational log of parental presence to the EHR documentation. Overall, high accuracy values were found when combining two methods of documentation. Additional stratification using a more specific measure, each chart's complete accuracy, instead of overall accuracy, revealed that night shift documentation was more accurate than day shift documentation (76.3% accurate during night shifts, 55.2% accurate during day shifts) and that flowsheet (FS) recordings were more accurate than the free-text plan of care (POC) notes (82.4% accurate for FS, 75.1% accurate for POC notes). This research provides a preliminary look at the accuracy of EHR documentation of nonclinical factors and can serve as a methodological roadmap for other researchers who intend to use EHR data.

Home country influence in cross-border mergers and acquisitions by emerging market firms: a systematic review

PurposeEmerging market firms (EMFs) are increasingly expanding their global presence through cross-border mergers and acquisitions (CBMAs). While such deals are distinct from those by advanced market firms, there is a need for a comprehensive understanding of how emerging home markets form this distinctiveness. This study aims to remedy this gap.Design/methodology/approachThe authors conduct a systematic literature review of 84 empirical papers. Through a broad search string and seven exclusion criteria, the authors carefully select studies on country-level home factors of CBMAs by EMFs.FindingsAfter summarizing paper volumes, journals and context factors of home/host countries and industries, the authors highlight different strands of institutional theory as the prevailing perspective and pre-M&A issues as the foremost theme. CBMAs by EMFs are influenced by distinct home-exclusive factors, and the mechanisms linking home-country factors to CBMAs by EMFs show significant inconsistencies across studies.Originality/valueThis review focuses on home country influence and thus goes beyond general characteristics of CBMAs by EMFs. The authors highlight more diverse types of home country factors and CBMA outcomes and, more importantly, take a closer look at involved mechanisms. Doing so, the authors identify gaps and disparities that have limited the understanding of home country influence in CBMAs by EMFs. To correct this, the authors offer a comprehensive roadmap for future research, contributing to EMF studies in particular and CBMA and international business research in general.

Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities

Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities