Continuous Innovation Research Articles

Future Development Analysis Based on the Price Reduction Trend of Tesla

The electric vehicle (EV) market is developing rapidly, while the complexity of the market is growing along with the growing prosperity of the market, continuous technology innovation, and frequent policy adjustments. As a leading pioneer in the electric vehicle market, Tesla's development trends have had a significant impact on the market and other companies in the market. Tesla's price cut may especially affect the brand positioning of other companies in the industry, and they follow its price cut strategy, leading to a price war in the whole market. It urges them to adjust their strategies to maintain their market position and profitability. Therefore, the paper elaborates and focuses on Tesla's financial data from 2021 to 2023 and price reduction strategies, and uses key financial indicators, such as revenue growth, cash flow, and return on investment, to predict the future development trajectory of Tesla. This paper, through Tesla's financial analysis and future trends, provides reference and guidance for investors, markets, or companies seeking to follow suit.

Transthyretin Cardiac Amyloidosis: Insights into Wild-Type Variants and Familial Amyloid Cardiomyopathy

Transthyretin (TTR) cardiac amyloidosis is a progressive condition characterized by amyloid fibril deposition in the heart, leading to heart failure. This review focuses on insights into wild-type (ATTRwt) and familial (ATTRm) variants of TTR amyloidosis. The pathophysiology involves TTR tetramer destabilization, monomer misfolding, and amyloid fibril formation. Therapeutic advances, including TTR stabilizers like tafamidis and Diflunisal, and gene-silencing agents such as patisiran and inotersen, show promise in managing the disease. Despite these advancements, early diagnosis remains challenging, and side effects of current therapies necessitate the development of safer, more effective treatments. Future research should focus on novel therapies, improved diagnostic methods, and personalized treatment strategies to enhance patient outcomes. This review underscores the importance of continued innovation and collaboration in tackling TTR cardiac amyloidosis.

Digital Innovations and Competitive Advantage of Commercial Banks in Kenya

Purpose: The purpose of the study was to ascertain the role of digital banking technological innovations in enhancing competitive advantage among commercial banks in Kenya. Specifically, the study sought to examine the influence of digital technological innovations for market, digital banking innovations for differentiation, digital innovations for customer satisfaction and the influence of ICT infrastructure on competitive advantage of commercial banks in Kenya Methodology: Descriptive research design was adopted for the present study. The study was carried out in Kenya, covering all the 39 solvent commercial banks in Kenya as of 31st March 2024. The study adopted the census data collection method from the headquarters of the 22 solvent commercial banks belonging to Tier 3. Four key officers including the sales manager, loan officer, relationship manager, and risk manager totaling to 88 were sampled to participate in the study. Findings: The findings indicate that there is a significant relationship between market positioning and competitive advantage (B = 0.292, p = 0.003). On the other hand, Differentiation is established to have a negligible influence on competitive advantage in this model (B = 0.027, p = 0.852). Customer Satisfaction comes out strongly, as a factor that defines competitive advantage (Coefficient = 0.247, P = 0.046). Unique Contribution to Theory, Policy and Practice: The study recommends that Kenyan commercial banks invest in continuous digital innovation, particularly in mobile and Internet banking, to strengthen market positioning, improve brand perception, and offer personalized services. Banks should also enhance their ICT frameworks for better service delivery, data protection, and adaptability to market changes. Emphasizing mobile banking innovations and staying updated with emerging digital trends will help banks reduce customer acquisition costs, expand their customer base, and maintain a competitive edge in a dynamic industry.

Blockchain Consensus Mechanisms: A Bibliometric Analysis (2014–2024) Using VOSviewer and R Bibliometrix

Blockchain consensus mechanisms play a critical role in ensuring the security, decentralization, and integrity of distributed networks. As blockchain technology expands beyond cryptocurrencies into broader applications such as supply chain management and healthcare, the importance of efficient and scalable consensus algorithms has grown significantly. This study provides a comprehensive bibliometric analysis of blockchain and consensus mechanism research from 2014 to 2024, using tools such as VOSviewer and R’s Bibliometrix package. The analysis traces the evolution from foundational mechanisms like Proof of ork (PoW) to more advanced models such as Proof of Stake (PoS) and Byzantine Fault Tolerance (BFT), with particular emphasis on Ethereum’s “The Merge” in 2022, which marked the historic shift from PoW to PoS. Key findings highlight emerging themes, including scalability, security, and the integration of blockchain with state-of-the-art technologies like artificial intelligence (AI), the Internet of Things (IoT), and energy trading. The study also identifies influential authors, institutions, and countries, emphasizing the collaborative and interdisciplinary nature of blockchain research. Through thematic analysis, this review uncovers the challenges and opportunities in decentralized systems, underscoring the need for continued innovation in consensus mechanisms to address efficiency, sustainability, scalability, and privacy concerns. These insights offer a valuable foundation for future research aimed at advancing blockchain technology across various industries.

Omnichannel Based Integrated Marketing Communication At Tripatria Innovation Marketing Program

This study explores the application of an Integrated Marketing Communication (IMC)-based omnichannel approach in Tripatria's Innovation Marketing Program. This program aimed to increase brand awareness and consumer trust through an integrated online marketing strategy. The program, conducted over six months, successfully engaged general consumers and healthcare professionals, leading to increased interactions on social media and product purchases. The findings highlight the significant impact of a well-executed omnichannel strategy on consumer behavior and brand perception and emphasize the need for continuous innovation and adaptation in marketing strategies to remain competitive in the dynamic healthcare market. Future research should investigate the long-term effects of such marketing programs on customer loyalty and retention.

Current Applications of Raman Spectroscopy in Intraoperative Neurosurgery.

Neurosurgery demands exceptional precision due to the brain's complex and delicate structures, necessitating precise targeting of pathological targets. Achieving optimal outcomes depends on the surgeon's ability to accurately differentiate between healthy and pathological tissues during operations. Raman spectroscopy (RS) has emerged as a promising innovation, offering real-time, in vivo non-invasive biochemical tissue characterization. This literature review evaluates the current research on RS applications in intraoperative neurosurgery, emphasizing its potential to enhance surgical precision and patient outcomes. Following PRISMA guidelines, a comprehensive systematic review was conducted using PubMed to extract relevant peer-reviewed articles. The inclusion criteria focused on original research discussing real-time RS applications with human tissue samples in or near the operating room, excluding retrospective studies, reviews, non-human research, and other non-relevant publications. Our findings demonstrate that RS significantly improves tumor margin delineation, with handheld devices achieving high sensitivity and specificity. Stimulated Raman Histology (SRH) provides rapid, high-resolution tissue images comparable to traditional histopathology but with reduced time to diagnosis. Additionally, RS shows promise in identifying tumor types and grades, aiding precise surgical decision-making. RS techniques have been particularly beneficial in enhancing the accuracy of glioma surgeries, where distinguishing between tumor and healthy tissue is critical. By providing real-time molecular data, RS aids neurosurgeons in maximizing the extent of resection (EOR) while minimizing damage to normal brain tissue, potentially improving patient outcomes and reducing recurrence rates. This review underscores the transformative potential of RS in neurosurgery, advocating for continued innovation and research to fully realize its benefits. Despite its substantial potential, further research is needed to validate RS's clinical utility and cost-effectiveness.

Redefining Entertainment Horizons: Epic Games and Netflix’s Quest for Future Dominance

In the rapidly evolving and ever-changing media and entertainment landscape, Epic Games, Inc. And Netflix, Inc. are seen as innovators in the industry. This paper analyzes the strategic layout of Epic Games and Netflix in the market competition, focusing on how they compete for dominance in digital entertainment. Built on its Unreal Engine and extensive gaming ecosystem, Epic Games is committed to pushing the frontiers of gaming technology and expanding into virtual and augmented reality. Netflix, by contrast, has strengthened its global leadership in streaming through continued innovation and content diversification. This article provides a thorough analysis of their business model, strategy, and required changes, and explores how these factors have helped them continue to dominate the market. Finally, the paper summarizes the trends of Epic Games and Netflix in the future digital entertainment market and evaluates their potential opportunities and risks in the global competition.

How to expand the thermos cup market through network publicity and product positioning

With the steady growth of the global stainless steel thermos cup market, social platform marketing plays a key role in enhancing brand influence and product sales. Through the study of Standly's case, this paper first describes the strategy of making thermos cups into "fashion accessories", and Stanley has achieved remarkable market expansion by increasing the attention of female consumers; Then, the actual effect of this strategy is analyzed, that is, the sales volume of its star product Quencher series has increased greatly. Finally, suggestions on using new technologies and social media marketing are put forward to meet the needs of consumers and enhance brand influence. It is concluded that continuous innovation and optimization of market positioning are the key to maintain the leading position in the competition of vacuum flask industry. Research on marketing strategy is very important for enterprises to succeed in the rapidly changing market. It can not only help enterprises identify market opportunities and optimize resource allocation, but also meet customer needs, enhance brand influence, and ultimately promote the sustainable development and growth of enterprises.

Using Technology Readiness Levels (TRLs) in UAS development

In the dynamic world of aeronautical technology, the development of uncrewed aircraft systems (UAS) is an area of continuous expansion and innovation. Technological progress in this sector can be measured by the Technology Readiness Levels (TRL) Scale, which provides a standardized framework for assessing the technological maturity of a product or system. The TRL scale is widely used in industry and research to guide the systematic development of new technologies from concept and initial research to operational implementation and commercialization. This scale can also be successfully used in the research, development, and deployment of an uncrewed aircraft system.

Navigating Technological Risks: An Uncertainty Analysis of Powertrain Technology in Hybrid-Electric Commuter Aircraft

Abstract This study addresses the uncertainties in hybrid-electric powertrain technology for a 19-passenger commuter aircraft, focusing on two future Entry-Into-Service timeframes: 2030 and 2040. The methodology is split into a preliminary optimization of aircraft design based on nominal technology scenarios followed by Monte Carlo simulations to investigate the impact of diverse technology projections and distribution types. Advanced surrogate modeling techniques, leveraging deep neural networks (DNN) trained on a dataset from an aircraft design framework, are employed. Key outcomes from this work reveal a marked increase in computational efficiency, with a speed-up factor of approximately 500 times when utilizing surrogate models. The results indicate that the 2040 entry-into-service (EIS) scenario could achieve larger reductions in fuel and total energy consumption—20.4% and 15.8% respectively—relative to the 2030 scenario, but with higher uncertainty. Across all scenarios examined, the hybrid-electric model showcased superior performance compared to its conventional counterpart. The battery-specific energy density is proved to be a critical parameter of the aircraft’s performance across both timeframes. The findings emphasize the importance of continuous innovation in battery and motor technologies to target toward greater system-level efficiency and reduced environmental impact.

Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems

AbstractThe use of biomass as a renewable energy source for electricity generation has gained attention due to its sustainability and environmental benefits. However, the intermittent electricity demand poses challenges for optimizing electricity generation in thermal systems. Time series forecasting techniques are crucial in addressing these challenges by providing accurate predictions of biomass availability and electricity generation. Here, wavelet transform is applied for denoising, convolutional neural networks (CNN) are used to extract features of the time series, and long short‐term memory (LSTM) is applied to perform the predictions. The result of the mean absolute percentage error equal to 0.0148 shows that the wavelet CNN‐LSTM is a promising machine‐learning methodology for electricity generation forecasting. Additionally, this paper discusses the importance of model evaluation techniques and validation strategies to assess the performance of forecasting models in real‐world applications. The major contribution of this paper is related to improving forecasting using a hybrid method that outperforms other models based on deep learning. Finally, future research directions and potential advancements in time series forecasting for biomass thermal systems are outlined to foster continued innovation in sustainable energy generation.

A IMPORTÂNCIA DA FORMAÇÃO CONTINUADA PARA PROFESSORES NA EDUCAÇÃO BÁSICA

This study addresses continuing education for teachers, which is highlighted as an essential process for improving knowledge. Continuing education for teachers is currently seen as a process for improving knowledge, involving actions directed at professionals who educate, teach, learn, research, and evaluate. This study aimed to discuss continuing education for teachers within educational policies in Brazil, emphasizing its importance and analyzing the current Brazilian educational context. The methodology was based on bibliographic research, using Google Scholar as the main source. The results make it clear that this review article can intensify the reflection on the importance of continuing education in Brazil, exposing its relevance for a deeper understanding of the educational reality and the teaching-learning process. Continuing education appears as a decisive tool, supporting the work of teachers and driving the evolution of teaching and learning. It is known that the teacher is not a finished product, but a subject in constant transformation, requiring continuous improvement to face the challenges of modern education. Therefore, each teacher must be an eternal learner, breaking with stagnant traditions and embracing a journey of continuous innovation, as only in this way will we be able to transform the Brazilian educational scenario, propelling it towards new spheres of excellence and relevance.

Progress in carbon dioxide capture, storage and monitoring in geological landform

Carbon Capture and Storage (CCS) is recognized as a potent strategy for managing the accumulation of human-generated CO2 in the atmosphere, helping to alleviate climate change’s effects. The CO2 gas is captured from the point source through methods such as pre-treating fossil fuels, oxy-fuel combustion, or post-combustion capture; thereafter; it is transported to a storage location and injected into geological formations. This article provides an overview of carbon dioxide capture and sequestration, focusing on its key principles, technologies, associated risks, and challenges. Direct Air Capture (DAC) and Scalable Modelling, Artificial intelligence (Al), Rapid Theoretical calculations SMART technologies are detailed as emerging and promising approaches to CO2 capture. Numerous pilot and commercial projects commissioned to manage carbon dioxide emissions are presented. Additionally, the paper explores approaches combining geological, geophysical, geochemical, and environmental monitoring techniques to ensure the secure and sustainable storage of CO2 underground. These are essential to address uncertainties, minimize risks, and build public confidence in CCS as a viable climate mitigation strategy. The successful deployment of these technologies on a global scale will require continued innovation, particularly in the areas of monitoring, risk management, and public engagement. Emerging technologies such as AI and SMART systems could play a crucial role in enhancing the efficiency and safety of CCS operations. However, the integration of these advancements with existing infrastructure and regulatory frameworks remains a challenge. Ultimately, a multi-disciplinary approach, combining technological, economic, and regulatory perspectives, will be vital to realizing the full potential of CCS in combating climate change.

Demystifying Higher Education: An Analysis of Competing Perspectives in Institutional Theory

Abstract This paper scrutinises and interprets the competing perspectives arising from institutional analysis in higher education studies. Contradictory views in this field include the perception of converging trends versus escalating diversification, and the view of universities as entities resisting change contrasted with those characterised by continual evolution or innovation. These different viewpoints are methodically examined, informed by a wide range of literature on institutional theory and institutional analysis in higher education. In endeavouring to reconcile these divergent perspectives, this paper illuminates the intricacies of institutional behaviour in higher education. The theoretical discussions also pave the way for developing a holistic approach to institutional analysis in the field of higher education research.

Part II: Enhancing Breastfeeding Experience and Self-Efficacy in Opioid-Dependent Breastfeeding Mothers—Results From the PeriWell Intervention

Objective:The PeriWell project integrates the Positive Direction Model and the Tri-Core Breastfeeding Model into a virtual support program tailored to peripartum mothers in substance use recovery. PeriWell addresses the unique challenges this population faces by offering tailored, wraparound support. This manuscript, part of a two-part series, highlights the project’s outcomes, demonstrating significant implications for maternal health practices by fostering an environment of empowerment and lactation wraparound support.Methods:This longitudinal quality improvement (QI) project spanned 24 months (2019–2021) during the COVID-19 pandemic. It involved 15 peripartum mothers in substance use recovery engaging in a virtual, single-site program. The project was approved as a QI initiative by the Institutional Review Board (IRB reference 2018-19, #89), ensuring ethical adherence and participant safety. Participants provided voluntary consent and were recruited from obstetrics and gynecology offices in Upstate New York. To evaluate participants’ confidence and belief in their breastfeeding abilities, we received author permission and utilized the validated Breastfeeding Self-Efficacy Scale-Short Form (Dennis & Faux, 1999; Dennis, 2010), guiding the tailored support provided.Results:Results indicated a significant increase in prenatal breastfeeding confidence correlated with the PeriWell approach (r= .782,n= 14,p< .001). Participants reported improved self-confidence in latching techniques and a greater appreciation of the time commitment required for successful breastfeeding. Correlational relationships provided valuable insight to enhance and amplify breastfeeding support. The findings advocate for the inclusion of targeted specialized interventions in maternal care to better meet the needs of expecting individuals.Conclusion:Cultivating a supportive peripartum environment is fundamental to maternal-child healthcare, and the PeriWell project demonstrated the efficacy of integrating tailored, virtual peripartum and breastfeeding support for expecting and postpartum mothers in substance use recovery. This quality improvement project improved maternal and infant health outcomes, such as breastfeeding self-efficacy, and highlighted the importance and value of specialized, wraparound lactation support for vulnerable populations. These findings underscore the need for continued innovation in maternal health services, particularly through empowerment and promoting breastfeeding success in recovery settings.

Operational Excellence: Process optimization for competitive edge

This study explores the concept of operational excellence and the role of process optimization in gaining a competitive edge for organizations. Operational excellence involves the continuous improvement of business processes to increase efficiency, reduce waste, enhance quality, and improve overall performance. The study reviews established methodologies such as Lean, Six Sigma, and Total Quality Management (TQM) that provide structured approaches to achieving operational efficiency. It also examines the impact of emerging technologies, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), in driving data-driven decision-making and enhancing process optimization. Additionally, the study highlights the importance of leadership in fostering a culture of continuous improvement and collaboration across departments, ensuring alignment with strategic objectives. The integration of sustainability into operational strategies is discussed as a means to not only improve efficiency but also meet corporate social responsibility goals. The relationship between process optimization and innovation is also explored, showing how operational excellence can free up resources for research and development (R&D) and foster a culture of innovation. Despite the focus on these established practices and technologies, the study acknowledges limitations, particularly the challenges faced by small and medium-sized enterprises (SMEs) and service oriented sectors in implementing these strategies. The study concludes that operational excellence, supported by technological advancements and a strong organizational culture, is essential for organizations to navigate competitive markets, improve customer satisfaction, and achieve long-term success. This research offers valuable insights for businesses aiming to enhance operational performance and sustain their competitive advantage through continuous process optimization and innovation.

Enhancing Drug Solubility, Bioavailability, and Targeted Therapeutic Applications through Magnetic Nanoparticles

Biological variability poses significant challenges in the development of effective therapeutics, particularly when it comes to drug solubility and bioavailability. Poor solubility across varying physiological conditions often leads to reduced absorption and inconsistent therapeutic outcomes. This review examines how nanotechnology, especially through the use of nanomaterials and magnetic nanoparticles, offers innovative solutions to enhance drug solubility and bioavailability. This comprehensive review focuses on recent advancements and approaches in nanotechnology. We highlight both the successes and remaining challenges in this field, emphasizing the role of continued innovation. Future research should prioritize developing universal therapeutic solutions, conducting interdisciplinary research, and leveraging personalized nanomedicine to address biological variability.

Machine Learning Applications in Stock Price Prediction

With economic fluctuations, investors focus on the stock market where scientific investment strategies become increasingly crucial. This article utilizes linear regression to predict stock price trends, achieving an R value close to 1, indicating high accuracy in the model's predictions. Additionally, logistic regression and random forest classification models were employed to predict stock price movements, revealing a superior performance with the random forest model achieving an AUC value of 0.64. By employing a combination of regression and classification algorithms, this study offers a diverse perspective on stock price prediction, highlighting the importance of scientific forecasting in financial markets. The findings demonstrate that integrating multiple predictive models enhances the accuracy and reliability of stock price predictions, providing investors with precise market information to facilitate rational investment decisions. Furthermore, this research contributes valuable insights for future studies in stock market prediction, promoting continuous innovation and development in the theoretical and methodological aspects of this field. The results underscore the potential of advanced machine learning techniques in financial forecasting, offering a robust framework for understanding market dynamics and improving investment strategies. This study serves as a reference point for both academic research and practical applications, driving forward the evolution of predictive modeling in finance.

Evolution of water technology from a structural perspective

Rivers are cradles of human civilisations and continual innovations in water technologies are the key to sustainable human development. Yet, limited research has explored the interactive dynamics among different technologies, hindering our ability to effectively manage technological transition. This paper presents a framework that conceptualizes water technology as a complex adaptive system containing three interrelated sub-systems: water demand, water supply, and water management. The interactions among these sub-systems were measured using three network-based metrics: intensity, brokerage, and efficiency. Patents registered in the World Intellectual Property Organization from 1863 to 2020 were used as the data source. It was found that 40,304 patents from 44 countries were registered, with 40% of them belonging to the water management sub-system, followed by water supply (35%), and water demand (25%). Technological development in the three sub-systems presented linear growth over the past 160 years, focusing on water treatment, hydroelectric power, hydraulic engineering and water monitoring. The water-demand sub-system was identified as the structural “bottleneck” with the highest brokerage value, which was considered crucial for knowledge transfer between the other two sub-systems. Overall, the water technology system is characterized by slow development, skewed spatial coverage, categorical homogeneity, and structural imbalances, limiting our ability to address the escalating global water threats.

Challenges and opportunities in geographical indication registered gastronomic products: Erzurum Rosette

Erzurum Rosette holds significant cultural value as a traditional dessert widely produced and consumed in Erzurum. Limited knowledge exists regarding the difficulties encountered by producers and the influence of Geographical Indication (GI) registration on production and marketing. This study aims to enhance the recognition of Erzurum Rosette, assess its production process to comply with the standards of the Turkish Patent and Trademark Office (TPTO), and explore its potential as a sustainable tourist product. A qualitative analysis was conducted on six producers of Erzurum Rosette. The information was gathered through semi-structured interviews that focused on demographic data, understanding GI, production challenges, and the influence of GI registration on sales. Responses were examined using thematic coding and statistical analysis. The study revealed that this traditional dessert production involves both male and female producers and that the producers have significant professional experience. General materials for production can be easily obtained, but obtaining the necessary special iron molds poses a significant challenge. Producers with a comprehensive understanding of GI have reported increased sales and market access after registration, but those with limited understanding have seen minimal impact. Common challenges include material supply and equipment availability, particularly regarding the procurement of iron molds. Sales and marketing strategies are generally effective, but continuous innovation is necessary for market expansion. Addressing supply chain issues and increasing awareness of GI benefits for producers are crucial for the sustainability and promotion of Erzurum Rosette. Improving support for local production and targeted training initiatives can help preserve traditional production methods and enhance the potential of Erzurum Rosette as a cultural and tourism value.