Impact Of Disruption Research Articles

Application of simulation and machine learning in supply chain management: A synthesis of the literature using the Sim-ML literature classification framework

Stochastic modeling techniques, such as discrete-event and agent-based simulation, are widely used in supply chain management (SCM) for capturing real-world uncertainties. Over the last decade, data-driven approaches like machine learning (ML) have also gained prominence in SCM, employing methods such as supervised learning (SL), unsupervised learning (UL), and reinforcement learning (RL). As supply chains grow in complexity, hybrid models combining simulation (Sim) and ML are becoming increasingly common, and the field stands to gain from a structured review of this literature. Towards this, we developed the Sim-ML Literature Classification Framework, which includes a hierarchical taxonomy comprising five SC criteria, 22 Sim-ML classes and over 75 Sim-ML subclasses. We applied this framework to synthesize 99 papers, revealing significant diversity in how Sim-ML models are used to address supply chain challenges. Key findings include the recognition of the breadth of study objectives, identifying various forms of model hybridization achieved by combining discrete/continuous simulation techniques with SL, UL, and RL approaches, and the data flow mechanisms such as sequential and feedback methods employed by the simulation and ML elements of the hybrid model. Our findings also identify some gaps in the literature; for example, optimization is rarely incorporated into Sim-ML models. Also, most studies present Sim-ML models for addressing problems in general supply chains, likely due to the lack of access to industrial data. The review also highlights that Industry 4.0 technologies, such as digital twins and blockchain, are underrepresented in current research, as are topics like sustainability and transportation. These gaps suggest significant opportunities for future research. We provide guidelines for practitioners on applying Sim-ML models to manage supply chain drivers, mitigate the impact of disruptions, and integrate emerging technologies. Our review serves as a valuable resource for researchers, practitioners, and students interested in leveraging Sim-ML approaches in SCM.

MICROBIOME: The trials and errors of developing an experimental model to study the impact of maternal gut microbiome disruption on perinatal asphyxia.

Maternal gut microbiome impairment has garnered attention for its potential role in influencing neurodevelopmental outcomes in offspring, especially in situations that increase brain vulnerability such as perinatal asphyxia (PA). Maternal microbiome and fetal brain interplay emerge as a critical link between maternal health and offspring neurodevelopment. This study aims to generate a model to assess the impact of maternal dysbiosis triggered by gestational antibiotic administration and PA on offspring neurodevelopment. Wistar rats were subjected to antibiotics in drinking water from the 11th gestational day until birth. On the 6th postnatal day, pups were subjected to PA/normoxia, resulting in four experimental groups: control-normoxia, antibiotics-normoxia, control-asphyxia, and antibiotics-asphyxia. Early-life behavioral tests were conducted between postnatal days 7 and 9. The initial antimicrobial cocktail (ampicillin, vancomycin, neomycin, clindamycin, amphotericin-B) led to an increased number of miscarriages, poor weight gain during pregnancy, reduced offspring weight, and changes in the maternal gut microbiome compared to control. Offspring presented impaired neurodevelopmental reflexes in both PA and antibiotic groups and increased hippocampal neuroinflammation. Due to these detrimental effects, a more pregnancy-safe antibiotic cocktail was used for a second experiment (ampicillin, vancomycin, neomycin, meropenem). This resulted in no miscarriages or pregnancy-weight loss but was still linked to gut microbiome disruption. PA impaired neurodevelopmental reflexes and increased neuroinflammation, effects amplified by antibiotic administration. These preliminary findings reveal the cumulative potential of maternal dysbiosis and PA on neurodevelopment impairment, emphasizing caution in gestational antimicrobial use. Further investigations should include offspring long-term follow-up and maternal behavior and integrate probiotics to counteract antibiotic effects. This study investigates the impact of maternal gut microbiome disruptions caused by gestational antibiotic treatment and low oxygen exposure shortly after birth on the development of the rats' babies. We found that both antibiotic exposure and reduced oxygen levels led to changes in early behavior and increased inflammation of the nervous tissue in the baby rats. Although using a different, potentially safer antibiotic combination reduced pregnancy complications, it still changed the bacteria in the mother's gut and worsened early behavior. These findings show that antibiotics during pregnancy can affect the developing brain of baby rats and careful consideration should be used before prescribing them. Future research will explore longer-term effects and potential medicines.

Trade risk transmission of global cobalt industrial chain based on multi-layer network

In order to study the potential systemic risk transmission in cobalt trade, this paper combined the infectious disease model with complex networks to build a multi-layer network trade risk transmission model for cobalt trade based on the transmission of export restrictions and bilateral friction in a single country, in order to simulate the degree of impact of risk transmission in cobalt industry chain, identify key countries and risk transmission paths. The results show that multi-layer network risk transmission of global cobalt trade based on two communication forms has the characteristics of “robust and fragile”. In addition, the risk transmission situation based on bilateral frictions is mainly transmitted by core countries and direct contacts. The risk transmission based on the export restriction of a single country is mainly through direct contact, indirect contact and regional transmission. We also find that the multi-layer trade network of global cobalt trade can resist the bilateral frictional transmission mode better than the transmission mode of single country export restriction. The results can support policy makers to optimize the cobalt trade structure and mitigate the negative impact of trade disruptions.

A-205 Evaluating the Cost and Importance of Supply Chain Resilience in the Clinical Laboratory

Abstract Background Recent pandemics, epidemics and outbreaks continually underscore the critical importance of resilient supply chains in healthcare, particularly in clinical laboratories where timely access to supplies is essential for patient care. Supply chain disruptions, whether due to global crises or localized challenges, can significantly impact laboratory operations, leading to delayed diagnoses, compromised patient outcomes, and increased costs. It is estimated that 70%-80% of a patients’ EMR is clinical laboratory results. Despite this, supply chain resilience in clinical laboratories remains an under-addressed issue and remains a buzzword. Methods To evaluate the cost and importance of supply chain resilience in the clinical laboratory, we conducted a comprehensive review and interviews with 9 Healthcare Supply Chain experts analyzing the impact of supply chain disruptions on laboratory operations and patient care. Data was also collected from a diverse range of clinical laboratories, including hospitals, independent labs, and research institutions, spanning different geographic regions as well as a survey of 50 Laboratory experts with a 50% response rate. Key metrics assessed included: -Frequency and duration of supply chain disruptions. -Financial costs incurred due to disruptions, including expenses related to expedited shipping, alternative sourcing, and inventory management. -Impact on laboratory workflow, turnaround times, and patient care outcomes. -Strategies employed to mitigate supply chain risks and enhance resilience. Results Our review revealed findings regarding the cost and importance of supply chain resilience in the clinical laboratory: -Supply chain disruptions were frequent, with 85% of laboratories experiencing at least one significant disruption in the past year and 100% in experienced disruptions 2022. -The average duration of disruptions was 2-3 weeks, leading to substantial delays in test processing and patient care. -Financial costs associated with disruptions averaged $50,000 per laboratory per annum, including expenses for rush orders, and premium-priced alternatives. -Common strategies employed were increased inventory or safety stocks, multi-vendor sourcing, and supply chain mapping. Conclusions The findings of this study underscore the critical importance of supply chain resilience in the clinical laboratory. Supply chain disruptions are not just inconveniences; they pose significant risks to patient safety, operational efficiency, and financial sustainability. Investing in supply chain resilience is imperative for laboratories to fulfill their mission of delivering timely and accurate patient results. To continue to enhance supply chain resilience, laboratories must adopt a proactive approach, leveraging data-driven insights and collaborative partnerships. This includes diversifying supplier networks and fostering closer collaboration between laboratory and procurement teams.

Unraveling the dynamics of firing patterns for neurons with impairment of sodium channels.

Various factors such as mechanical trauma, chemical trauma, local ischemia, and inflammation can impair voltage-gated sodium channels (Nav) in neurons. These impairments lead to a distinctive leftward shift in the activation and inactivation curves of voltage-gated sodium channels. The resulting sodium channel impairments in neurons are known to affect firing patterns, which play a significant role in neuronal activities within the nervous system. However, the underlying dynamic mechanism for the emergence of these firing patterns remains unclear. In this study, we systematically investigated the effects of sodium channel dysfunction on individual neuronal dynamics and firing patterns. By employing codimension-1 bifurcation analysis, we revealed the underlying dynamical mechanism responsible for the generation of different firing patterns. Additionally, through codimension-2 bifurcation analysis, we theoretically determined the distribution of firing patterns on different parameter planes. Our results indicate that the firing patterns of impaired neurons are regulated by multiple parameters, with firing pattern transitions caused by the degree of sodium channel impairment being more diverse than those caused by the ratio of impaired sodium channel and current. Furthermore, we observed that the firing pattern of tonic firing is more likely to be the norm in impaired sodium channel neurons, providing valuable insights into the signaling of impaired neurons. Overall, our findings highlight the intricate relationships among sodium channel impairments, neuronal dynamics, and firing patterns, shedding light on the impact of disruptions in ion concentration gradients on neuronal function.

Safety Assurance of Maritime Autonomous Surface Ships

Abstract Safety of Maritime Autonomous Surface Ships (MASS) is inherently complex owing to the dynamic and unpredictable nature of the maritime environment. This is exacerbated by the pace of change in enabling technologies and their disruptive impact. Integral to the safety assurance of MASS is assessment and mitigation of risk. The International Maritime Organisation (IMO) defines Risk as “the combination of frequency and severity of the consequence”. The advent of software-controlled systems has introduced difficulties in quantifying frequencies; an issue which is more prevalent in the context of autonomy due to the complex interaction between control algorithms and the variabilities of the environment in which they are deployed. Within complex autonomous systems, therefore it is challenging to perform quantitative risk assessments using failure rates, which gives rise to a need for different techniques to assess risk. Novel risk assessment methodologies such as those presented in the European Maritime Safety Agency (EMSA) Risk Based Assessment Tool (RBAT) combined with conventional risk assessment techniques can offer a solution to this challenge. Compliance with legislation and standards is another cornerstone of safety assurance, which is also inherently difficult for MASS vessels owing to their having been developed for conventional vessels. A goal-based approach to legislation compliance could present an interim solution until the IMO goal-based Maritime Autonomous Systems (MAS) provides harmonisation across the industry. Whilst MASS Safety assurance is non-trivial, there are solutions to many of the challenges faced; this paper examines the predominant challenges and presents potential solutions.

Characterizing the impact of CPSF30 gene disruption on TuMV infection in Arabidopsis thaliana

ABSTRACT CPSF30, a key polyadenylation factor, also serves as an m6A reader, playing a crucial role in determining RNA fate post-transcription. While its homologs mammals are known to be vital for viral replication and immune evasion, the full scope of CPSF30 in plant, particular in viral regulation, remains less explored. Our study demonstrates that CPSF30 significantly facilitates the infection of turnip mosaic virus (TuMV) in Arabidopsis thaliana, as evidenced by infection experiments on the engineered cpsf30 mutant. Among the two isoforms, CPSF30-L, which were characterized with m6A binding activity, emerged as the primary isoform responding to TuMV infection. Analysis of m6A components revealed potential involvement of the m6A machinery in regulating TuMV infection. In contrast, CPSF30-S exhibited distinct subcellular localization, coalescing with P-body markers (AtDCP1 and AtDCP2) in cytoplasmic granules, suggesting divergent regulatory mechanisms between the isoforms. Furthermore, comprehensive mRNA-Seq and miRNA-Seq analysis of Col-0 and cpsf30 mutants revealed global transcriptional reprogramming, highlighting CPSF30’s role in selectively modulating gene expression during TuMV infection. In conclusion, this research underscores CPSF30’s critical role in the TuMV lifecycle and sets the stage for further exploration of its function in plant viral regulation.

Analysis of the Impact of Technological Disruption on the Economic Behavior of Homo Islamicus Consumers in Generation Z

Generation Z, the largest consumer group in the world including Indonesia, will play an active role in consumption trends over the next thirty years. This study aims to analyze how economic technological disruption affects the consumption behavior of Homoislamicus among Gen Z. The research employed a quantitative approach with an online questionnaire distributed to 267 Gen Z respondents at the Al-Ikhlas Dairi Islamic College. Data analysis utilized simple linear regression to test the relationship between technological disruption and Homoislamicus behavior. The findings indicate that economic technological disruption significantly influences the consumption behavior of Gen Z individuals identifying as Homoislamicus at Al-Ikhlas Dairi Islamic College. Regression analysis shows that increased economic technological disruption positively contributes to Gen Z consumption behavior, with a coefficient of 0.357. However, only approximately 11.7% of the variation in Homoislamicus behavior can be explained by this variable, underscoring the importance of further research to understand other factors influencing Gen Z consumption patterns.

Situational control and strategic choices during supply chain disruptions: case studies of SME exporters

PurposeMotivated by the severe impact of global supply chain disruptions and the lack of understanding of supply chain resilience from an SME exporter perspective in the international marketing literature, this paper sets out to explore how SME exporters achieve resilience through strategic choices related to sourcing and manufacturing during global disruptions.Design/methodology/approachThe study adopts a qualitative, multiple-case-studies approach to identify the key strategic drivers and contextual factors influencing SME exporters’ supply chain resilience. Our study adopted an SME exporter perspective and featured an unprecedented global supply chain disruption context. New Zealand (NZ) was chosen as the key home country context for the participants of this study. Five NZ SME exporters were selected for our case studies.FindingsThis study redefines buffering, bridging and a mixed strategy for an SME exporter facing global supply chain disruptions. SME exporters with high situational control are likely to pursue a buffering strategy that reduces their resource dependence on foreign suppliers and their reliance on information support from these suppliers. In contrast, when the firm perceives little control over the supply chain, it will decide upon a bridging strategy that aims to build solid relationships with supply chain partners. Exporters opt for a mixed strategy when they do not see themselves clearly in high or low situational control.Research limitations/implicationsAs global disruptions arise and evolve, supply chain uncertainty and exporters’ sense of situational control manifest differently across industries, product lines, markets and sourcing countries. It is essential to understand that firms can choose a mixed strategy based on these supply chain conditions. While our study was fortuitously timed, conducting multi-country studies could provide more comparative insights that transcend national borders. Additionally, our study did not examine organizational and capability-based factors. Future research may benefit from exploring how an SME exporter develops strategic capabilities to achieve resilience over its lifetime.Practical implicationsBusinesses see survival as the most pivotal concern during a global supply chain disruption. Many companies have had to make on-the-spot decisions about whether they should shift or redesign their supply chains in the middle of a global disruption. There is no “best strategy” for an SME exporter to take. Rather, managers should make strategic decisions based on how much control or influence they have over a particular part of their supply chain. The level of control is determined by the SME exporter’s overall resource dependencies and information needs in particular parts of their supply chain.Originality/valueWe adopt resource dependence theory and information processing theory to guide our study and place exporters' situational control in the centre of drivers to firms' strategic choices during global disruptions. We make a novel attempt to incorporate the contextual conditions of the COVID-19 pandemic into the theorization of supply chain resilience. We make managerial recommendations to help SME exporters navigate global supply chain disruption challenges.

The impact of the COVID-19 pandemic on dyslipidemia in peritoneal dialysis patients.

The coronavirus disease 2019 (COVID-19) pandemic has had a profound impacted on various aspects of society, including the healthcare system and patient care. In this context, this study aimed to evaluate the impact of COVID-19 control strategies on the lipid profile and blood sugar levels of peritoneal dialysis (PD) patients in Taiwan, a crucial focus for understanding the pandemic's influence on individuals with chronic kidney disease (CKD). A retrospective cohort study was conducted, analyzing data from the medical records of 170 PD patients who visited the nephrology division of Taipei Veterans General Hospital in 2021. The generalized estimating equations method was used to analyze the longitudinal data and assess the changes in biomarker levels over different periods. Covariates were taken into consideration in the statistical models. The study enrolled 70 (41%) males and 100 (59%) females, with an average age of 56 years old. Over 12 months in 2021, from the first period (January to April: pre-COVID-19) to the second period (May to August: COVID-19 surge), there was a notable decline in both high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels, and a significant surge in triglyceride (TG) levels. However, total cholesterol (TC) and hemoglobin (HbA1c) levels remained stable. Furthermore, the TG to HDL, TG to LDL, TC to HDL, and TC to LDL ratios were analyzed, revealing a pronounced increase during the second period. Our findings underscore the significant impact of COVID-19 pandemic-related disruptions in the healthcare system and the subsequent management strategies on dyslipidemia in PD patients while not affecting dysglycemia. These results provide valuable insights for healthcare professionals to enhance their strategies and interventions for CKD patients undergoing PD during a pandemic.

Assessing Air Quality Dynamics during Short-Period Social Upheaval Events in Quito, Ecuador, Using a Remote Sensing Framework

This study uses a remote sensing approach to investigate air quality fluctuations during two short-period social upheaval events caused by civil protests in 2019 and the COVID-19 pandemic in 2020 in Quito, Ecuador. We used data from the TROPOMI Sentinel-P5 satellite to evaluate the concentrations of two greenhouse gases, namely O3 and NO2. TROPOMI Sentinel-P5 satellite data are becoming essential in air quality monitoring, particularly for countries that lack ground-based monitoring systems. For a better approximation of satellite data with ground data, we related the remotely sensed data using ground station data and Pearson correlation analysis, which revealed a significant association between the two sources (0.43 ≤ r ≤ 0.78). Using paired t-test comparisons, we evaluated the differences in mean gas concentrations at 30 randomly selected intervals to identify significant changes before and after the events. The results indicate noticeable changes in the two gases over the three analysis periods. O3 significantly decreased between September and November 2019 and between March and May 2020, while NO2 significantly increased. NO2 levels decreased by 18% between February and March 2020 across the study area, as indicated by remote sensing data. The geovisualization of remotely sensed data over these periods supports these patterns, suggesting a potential connection with population density. The results show the complexity of drawing global conclusions about the impact of social disruptions on the atmosphere and emphasize the advantages of using remote sensing as an effective framework to address air quality changes over short periods of time. This study also highlights the advantages of a remote sensing approach to monitor atmospheric conditions in countries with limited air quality monitoring infrastructure and provides a valuable approach for the evaluation of short-term alterations in atmospheric conditions due to social disturbance events.

Technology Trends Revolutionizing the World of Work- Auto Industry Perspective based on the SDG

Aim/Purpose: Disruptive technologies impact business cycles and work practices, paving the way for new-generation manufacturing trends. Organizations are constantly working to introduce products with a higher degree of innovation, catering to customer demands in the market. Background: The automobile industry plays a significant role in applying disruptive technologies while proving value to all stakeholders. The technological disruptions in the auto sector can potentially change the relationship between consumers and the automobile while impacting business trends and work practices. Methodology: Various scholarly research material was reviewed to understand the impact of technology disruptions on manufacturing methods, work practices, employee engagement, and skill development. Secondary data analysis was conducted for this qualitative and descriptive study. Contribution: This paper helps to understand the impact created by various technologies in the auto sector on employee retention—the role of man- Machine collaboration in creating job satisfaction among employees. Findings: Besides automation and digitalization, AI, Robotics, and Mechatronics play a crucial role in the sector's evolution. The study findings help us understand the impact of technology on manufacturing and business practices. Recommendation for Practitioners: Investment in training the workforce and embracing collaboration helps employees to benefit from the real world of work. Recommendation for Researcher: To ensure the relevance of research studies, practitioners and researchers should maintain a collaborative approach, using research insights to inform business strategies. Impact on Society: Analyze how technologies like collaborative robots (cobots) are integrated into manufacturing processes and their impact on job roles and efficiency. Technology continues to evolve, so societies shall proactively address challenges and leverage opportunities to take advantage of these innovations. It is the role of government policymakers, industry stakeholders, and educators to shape the auto industry's future in a way that maximizes the benefits to society from technological innovation. Future Research: The study's scope is to be done quantitatively by covering OEMs all over India. It discussed disruptive technology in general. Specific technological advancements can be analysed to dive deep into the phenomenon. A similar study could be undertaken in another industry besides the automobile.

Adaptive strategies and sustainable investments: navigating organizations through a VUCA environment in and after COVID-19

This study delves into the resilience and adaptability of employees within the volatile, uncertain, complex, and ambiguous (VUCA) business environment, examining their readiness to manage effectively and the organizational agility in navigating change, alongside the impact of sustainable investment practices. Employing quantitative methods, a survey was conducted among employees at two pivotal moments: during and after the COVID-19 pandemic restrictions. Factorial analysis revealed a strong preference for participatory work styles and highlighted the critical need for employee involvement in significant decision-making processes. Although the value of sustainable investments was recognized, a noticeable gap was found in employees’ understanding and adaptability towards these investments. The use of the Wilcoxon test illuminated the significant impact of external disruptions, such as the pandemic, on organizational operations and preparedness. The findings underscore the imperative for organizations to champion continuous learning and training, enabling strategic and innovative responses to the challenges unique to the VUCA world. By aligning adaptive interventions with the demands of the VUCA environment, organizations can define a clear trajectory towards sustainable growth and enhance their proactive stance against sudden shifts in the business landscape.

Pandemic impacts on rural general practice: Trainees and supervision team working and learning together.

To explore the impact of COVID-19 pandemic disruptions on general practice trainees interdependent learning, from the perspectives of trainees and the whole of the practice team. Four rural general practices in Queensland that continued to supervise registrars, junior doctors and medical students through the pandemic. Twenty-three members of the general practice teams, including general practitioners, practice managers, receptionists, practice nurses, registrars, junior doctors and medical students. Audio-recorded semi-structured interviews were conducted with all participants following an initial survey. Thematic analysis and the theory of interdependent learning were used to understand how supervision and training was both disrupted and sustained during the pandemic period. Reporting is informed by the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines. Learning affordances were transformed by the rapid implementation of physical distancing and other infection control measures. Telehealth consultations and remote working impacted on the interdependent relationship between the work environment, supervision team and trainees. Practice staff identified new ways of working that arose through this period, including changes to practice team roles and the supervisory dynamic that enabled patient care and trainee learning to continue. Social connectedness was important to the trainees and the implications for future training need to be further evaluated.

ThP8.1 - Long-Term Impact of COVID-19 related disruption of NHS Elective services on Emergency Major Lower Limb Amputations

Abstract Background The COVID-19 pandemic has affected the healthcare systems worldwide since the dawn of 2020. In March 2020, the United Kingdom government announced the first national lockdown which severely disturbed all NHS healthcare elective services. Our aim is to assess the long-term impact of COVID-19 related disruption of NHS elective services on emergency major lower limb amputations. Method Patients' data for emergency major lower limb amputations (MLLA) for critical limbthreatening ischemia and diabetic foot infections performed at Aberdeen Royal Infirmary was collected through Trakcare® and divided into the control pre-pandemic group (April 2018 to March 2020) and the pandemic group (April 2020 to March 2022). The statistical analysis was conducted using the IBM SPSS software [v28.0.1.1 (14)]. Results A total of 358 patients underwent MLLA and 206 (57.5%) of these had diabetes mellitus. There was a 17% increase in the number of urgent referrals and every one in five of these finally underwent an amputation. There was an increase in the absolute number of Above- and Below-Knee amputations. There was a statistically significant increase by 33% in emergency MLLAs during the pandemic period (p-value <0.05). A total of 165 postoperative deaths up to December 2022 were recorded with 30-day mortality rate of 7.26% (n=26). Conclusion NHS vascular management groups should update themselves with evolving technologies to optimise the care provided during future unprecedented times. Furthermore, more effective measures should also be implemented to avoid delayed presentations, which can potentially lead to higher rates of major limb amputations.

The Digital Twin Immersive Design Process and Its Potential Disruption to Healthcare Design through a User-Centered Approach

This applied research proposes a solution to the static government design process for Thai healthcare architecture to better serve the needs of its elderly society. In its place, a novel real-time design process, termed the Digital Twin Immersive Design Process (DT-IDP), repurposes aspects of digital twin and virtual reality technologies into a ‘unitary’ immersive design system. This system accesses ‘experiential’ user-centered data, helping enhance the design of Thai healthcare space beyond a standardized government response. This text builds a rationale for departing from the current design process by describing the formation and advantages of the DT-IDP process. To test its credibility, the DT-IDP process is used to build and compare two digital versions of an existing healthcare space. In these spaces, participants are immersed (elderly patients n = 30; nursing staff n = 5; government healthcare architects n = 5) to assess visitor experiences based on daylighting, artificial lighting, and views of nature. Following immersion, government healthcare architects are interviewed in-depth to evaluate the process’s efficacy and their willingness to adopt it. Results confirm the potential for this process to capture ‘user-centered’ insights, otherwise unobtainable without immersion. Consequently, healthcare architects express a unanimous preference for DT-IDP, acknowledging its unique capacity to bridge a market gap through an experiential component that could better assist them in creating a superior final product. Ultimately, they assert that demand for these features could have a disruptive impact to the current healthcare design process, helping to re-envisage the design of future Thai healthcare space.

Disruption of Traditional Banking Services by Financial Technology in the Digital Economy

Under the rapid development of the digital economy, financial technology is disrupting the traditional banking industry with rapid innovation and technology application. Traditional banks have always been the core of the financial system, but with the rise of technologies such as the Internet, mobile payments and blockchain, the core functions of banks are being challenged. FinTech, with its flexibility and technological advantages, has made significant progress in areas such as payments, lending and wealth management, transforming the delivery of financial services and triggering changes in customer behavior and expectations. Traditional banks are under pressure to digitally transform themselves, while also needing to address new regulatory and security challenges. To survive and continue to play a role in this change, traditional banks need to partner with fintechs to develop new business models and innovative products. By analyzing the disruptive impact of FinTech on traditional banking services, this paper discusses the future development trends and adaptation strategies of the banking industry, aiming to provide theoretical and practical references for the industry.

Pengaruh Distrupsi Digitalisasi Terhadap Preferensi Konsumen: Studi Kasus pada Mahasiswa Tazkia di Pasar Dramaga

The purpose of this research is to analyze the influence of digital disruption on consumer preferences in product or service selection. This study utilizes the Structural Equation Modeling Partial Least Square (SEM-PLS) model. The results indicate that digital disruption significantly affects consumer preferences. Changes in consumer behavior triggered by digital advancements, such as the ease of shopping through online platforms, are crucial factors influencing consumer preferences. However, in this context, the influence of price on consumer preferences is not significant. Although important, price is not the primary factor in purchasing decisions, as other factors such as product quality, service, and halal labeling have a greater influence. Halal certification is also an important consideration for consumers, as it reflects values of halalness and cleanliness that are deemed important. This study provides valuable insights for businesses in understanding the impact of digital disruption on consumer behavior and implementing appropriate marketing strategies to enhance consumer preferences.

Paine's Yellow Fever": Opposition Politics and Pandemic Disease in the Early Republic

Abstract: This article examines the disruptive impact of Philadelphia's 1793 yellow fever outbreak on the Democratic-Republican societies that opposed the Washington administration. It demonstrates how the outbreak abruptly suspended the celebrations of the French Revolution as well as the organizing and publishing activities of the emerging opposition. People's energies were directed towards physical survival rather than political mobilization during the outbreak. Philadelphia's democratic movement lost some key leaders to the fever and it also lost momentum in building a Philadelphia-centered national opposition. After the outbreak, Democratic-Republicans regrouped, but the organizational energy had dissipated and circumstances had shifted. However, Federalists, who already had seen opposition as a diseased faction, mobilized the language of disease to denounce their political foes with a new intensity, as yellow fever became linked to transatlantic radicalism and political subversion amid the ongoing threat of yellow fever outbreaks in the 1790s and beyond.

Macroeconomic Analysis of Vietnam: Challenges and Policy Recommendations

Vietnam, a one-party socialist republic, has undergone significant economic transformation since the lifting of U.S. sanctions in 1986. Transitioning from a closed, agrarian economy to a market-oriented system, the country has achieved notable progress, advancing from one of the poorest nations to a lower-middle-income status. Despite this progress, Vietnam faces several macroeconomic challenges including high inflation, a depreciating currency, and a growing trade deficit. The COVID-19 pandemic has exacerbated these issues, leading to disruptions in business activity, supply chains, and economic instability. Additionally, severe air pollution presents a pressing concern for public health and economic productivity. This paper examines Vietnam's current macroeconomic challenges, evaluates the impact of recent economic disruptions, and proposes policy recommendations to address these issues. Recommendations include increased health spending, structural reforms to enhance green growth, and monetary policies aimed at controlling inflation and encouraging investment. The analysis highlights the need for a balanced approach to sustain economic progress while addressing critical challenges.