Technological Capabilities Research Articles

Разноуровневые стратегии развития: арктический нефтегазовый вектор

The balanced development of the hydrocarbon potential in the Arctic is currently a strategic priority for Russia. Given the present conditions of the global energy sector, alongside new geopolitical challenges and trends towards low-carbon and ecologically balanced development, there is a need for a system of coordinated strategies across the industry, regional, and corporate levels. To effectively develop Arctic oil and gas resources, it is necessary to ensure technological sovereignty, which involves equipping oil and gas companies with domestically produced equipment and software. Strategies should also focus on the development of industries that produce high value-added products, particularly in the petrochemical sector. Public administrators and corporate managers responsible for key decisions must have a clear, long-term vision for the development of the Arctic oil and gas sector and employ established methodological approaches in strategy design. The goal of this study is to substantiate the specific characteristics of multilevel strategies and assess the feasibility of using a matrix approach when designing strategic alternatives relevant to the current economic environment. The research methodology is based on the approaches, methods, and tools of strategic management and planning, with a particular focus on methods for designing strategic alternatives. The novelty of the research lies in the development of a system of criteria for comparing strategies and their target priorities at the industry, regional, and corporate levels. The study identifies current trends and challenges arising from the energy transition, stringent sanctions policies, and growing technological capabilities. It proposes an approach to designing alternative strategies of related and unrelated diversification for oil and gas companies. Developing a holistic concept of coordinated industry and corporate strategies is identified as a promising area for further research.

Exploring the antecedents of knowledge transfer among stakeholders in green building projects: From the configuration perspective

With the rapid development of green buildings around the world, knowledge transfer among stakeholders is of great significance in promoting the innovation and application of green building technologies. However, due to the complexity and specificity of green building projects, current studies have not fully established a comprehensive understanding of how elements from various dimensions (i.e., subject, relationship, context, and activity) collectively impact knowledge transfer among stakeholders in green building projects. Therefore, this study aims to explore the key factors that affect knowledge transfer among stakeholders in green building projects and how these factors work together to enhance the effectiveness of knowledge transfer (EKT). Firstly, the key factors influencing knowledge transfer were pinpointed: cognitive differences, connection strength, organizational climate, information technology capability, transmit willingness, receive willingness, perceived policy support, and richness of transfer channels. Then, an examination of the collected valid samples was conducted through configuration analysis utilizing the fuzzy set qualitative comparative analysis (fsQCA) method. The findings reveal five configurations, categorized as strong connection-driven, policy support-driven, and both-driven. Lastly, some combination strategies were outlined for different categories to assist green building companies in enhancing EKT. This study not only enhances the existing green building literature by developing a framework of factors that influence knowledge transfer among stakeholders, but also provides a reference for corporate executives to choose the best strategies to enhance EKT in green building projects.

Technical Progress And Technological Dependence In Developing Economies

This study aims to analyse the concept of endogenous technical progress and its implications for the development of emerging markets. The discussion focuses on the ability of developing countries to assimilate and adapt external technologies and the importance of building internal research and development capacities. The analysis examines the challenges these countries face in achieving sustainable technological autonomy and the impact of multinational companies on the technological evolution of local industries. The role of state intervention is explored as a crucial factor in overcoming the limitations imposed by international competition and fostering an environment conducive to technological innovation. The study highlights the need for integrated strategies, combining the adoption of external innovations with efforts to strengthen domestic technological capabilities, aiming for independent and sustainable economic growth.

중소벤처기업의 조직 내부역량 및 외부 환경동태성이 해외진출 결정의도에 미치는 영향 연구 : 해외네트워크 지향성 조절효과 중심

The international expansion of small venture companies is regarded as a crucial strategy for the survival and growth of these firms, particularly as it serves as a motivation for companies with limited resources and capabilities to enter foreign markets. In light of the increasing emphasis on the significance of internationalization for small venture companies within the current business environment, this study aims to identify the key factors influencing the intention to pursue international expansion among domestic small venture companiess. To this end, a research model was established, wherein internal organizational capabilities and external environmental dynamism were treated as independent variables, while international network orientation was considered a moderating variable. A survey was conducted with a total of 264 executives and managerial personnel (CEOs, executives, and department heads) from small venture companies to test the proposed hypotheses. The study first examined the causal relationship between internal organizational capabilities and external environmental dynamism (including market dynamism and technological dynamism) on the intention to engage in international expansion. Secondly, it assessed the moderating effect of international network orientation on the relationship between internal organizational capabilities, external environmental dynamism, and the intention to expand internationally. The findings of this research are as follows: First, internal organizational capabilities (including CEO global orientation, technological capabilities, market information utilization, and investment attraction capabilities) and market dynamism positively influence the intention to pursue international expansion, while technological dynamism was found to have a negative impact. Second, the study demonstrated the importance of international network orientation in moderating the relationship between internal organizational capabilities and the intention to expand internationally, thereby contributing new insights to the existing literature. Based on the results of this study, several implications for enhancing international expansion are proposed. First, the global orientation of the CEO emerges as the most critical factor in the decision-making process for international expansion, highlighting the need for dedicated programs to support CEOs in this endeavor. Second, small venture companies should focus on strengthening their internal organizational capabilities—specifically in terms of human resources, technology, market knowledge, and investment capabilities—while also developing strategies to expand their external networks for successful internationalization. Finally, it is essential for relevant institutions to collaborate in establishing training programs for market experts that are suitable for a knowledge-based society, thereby facilitating the international expansion of small venture companies.

Ride-hailing technology mitigates effects of driver racial discrimination, but effects of residential segregation persist

We assess racial disparities in the service quality of app-based ride-hailing services, like Uber and Lyft, by simulating their operations in the city of Chicago using empirical data. To generate driver cancellation rate disparities consistent with controlled experiments (up to twice as large for Black riders as for White riders), we estimate that more than 3% of drivers discriminate by race. We find that the capabilities of ride-hailing technology to rapidly rematch after a cancellation and prioritize long-waiting customers heavily mitigates the effects of driver discrimination on rider wait times, reducing average discrimination-induced disparities to less than 1 min-an order of magnitude less than traditional taxis. However, our results suggest that even in the absence of direct driver discrimination, Black riders in Chicago wait about 50% longer, on average, than White riders because of historically informed geographic residential patterns. We estimate that if Black riders in the city had the same wait times as White riders, the collective travel time saved would be worth $4.2 million to $7.0 million per year.

Функционирование умного сельского хозяйства в АПК городской агломерации

The article describes the possibilities and feasibility of using digital technologies in agriculture; population growth trends in the world and the need to use smart technologies to ensure increased labor productivity in the industry. The article identifies barriers to the implementation of digitalization in agriculture: lack of accessible infrastructure (broadband and incomplete Internet coverage in the re-gions); partial use of digital technology capabilities; lack of financial resources for the implementation of technologies; distrust of digital technologies; the presence of a large number of reporting forms in the industry; lack of information on digital technologies and the results of their use; low qualification of personnel in the field of digital technologies. The article reflects digital technologies for the formation of smart agriculture in the agro-industrial complex in modern conditions. The produc-tion and financial indicators of the Krasnodarskoye educational farm of the Kuban State Agrarian University over the past 5 years are analyzed as successfully demonstrating the experience of functioning of smart agriculture in the agro-industrial complex of the Krasnodar urban agglomeration.

Research on China-Laos Cooperation to Combating Cross-Border Telecom Network Fraud

Telecom network fraud has arisen as a significant transnational crime impacting China and Laos, capitalizing on legal, jurisdictional, and technical discrepancies between the two nations. This paper analyzes the collaborative initiatives between China and Laos to address cross-border telecom network fraud, highlighting significant joint operations carried out from 2016 to 2024. The magnitude of telecom network fraud is shown by the extradition of over 2,500 criminals from Laos to China, which has averted millions of dollars in financial damages via collaborative law enforcement initiatives. The study analyzes significant hurdles, including jurisdictional limitations, technology inadequacies, and political factors that influence the effectiveness of joint operations. This paper proposes improved strategies for real-time digital evidence-sharing, the formation of joint task forces, enhanced financial intelligence monitoring, and expedited extradition processes through the analysis of case studies and ongoing collaborative efforts. By enhancing technological capabilities, offering training, and bolstering political support, China and Laos can establish a more robust framework for addressing telecom network fraud and ensuring regional security.

Refik Anadol’s AI-Based Digital Art and Its Intellectual Connotations

This article delves into the digital art produced by the internationally renowned Turkish artist Refik Anadol and his team, emerging at the intersection of diverse disciplines such as mathematics, physics, computer science, and aesthetics, within the context of its intellectual connotations. This qualitative study encompasses 26 projects featured on the Refik Anadol Studio’s website. In addition to the projects, we utilize as data sources the videos, visuals and texts that are available on the website, Anadol’s social media posts, audience comments, interviews, academic articles, and news and critiques related to his works. We analyze the works in the context of the artistic creation process, the nature of the technological collaboration, the relationship established with memory, time, space and audience, particularly in the context of the meanings they signify, and we assess the data we obtain along with their philosophical connections. In short, Anadol transforms public data such as images, sounds, and social media posts that constitute collective memory into art with the aid of digital technology capabilities, especially artificial intelligence, creating in these works molecular, fluid, transient intermediate spaces by superimposing different temporal and spatial layers, images, and realities. Through art, he opens up for discussion questions such as what is the position of the artist in the age of artificial intelligence; how art can help us understand the relationship between the virtual and the real; and what it means to experience memory in the digital age. The heterotopic spaces he constructs in his works offer utopian imagery which suggests a life based on peace, optimism, and relationship shared among humans, nature, and other forms of existence.

The Impact of Technological Innovations on Agricultural Productivity and Environmental Sustainability in China

Agricultural productivity in China is a fundamental driver of food security and economic growth. Yet, the sector faces profound challenges due to environmental degradation and climate change, which threaten sustainable agricultural practices. This research examines the effects of technological innovations on agricultural Total Factor Productivity and environmental sustainability in China from 2012 to 2022. The study seeks to understand how technological advancements, when considered alongside socioeconomic variables, impact agricultural output while balancing ecological integrity. Employing a comprehensive methodological framework, this research integrates fixed-effects, random-effects, and multilevel mixed-effects models to analyze crucial factors including rural education, technological capability, and environmental conservation initiatives. The study further utilizes structural equation modeling to evaluate both the direct and indirect effects of these determinants on productivity. The results demonstrate that technological innovations substantially enhance agricultural productivity, particularly in provinces with higher socioeconomic development. Additionally, sustainable farming practices and tailored policy interventions are identified as vital in addressing regional productivity imbalances. The research concludes by underscoring the necessity for the continued integration of environmental considerations and emerging technologies to ensure the sustainability of agricultural growth in the long term.

Adoption Drivers of Digital Platform for Coal Production Planning: an Extended UTAUT Model Using PLS-SEM Analysis

In 2022, the coal production industry encountered unprecedented challenges accompanied by a substantial global commodity price surge. The operational impact of this situation surpasses current technological capabilities of coal companies, particularly in optimizing coal blending scenarios. A pivotal aspect of digital transformation involves integration of new digital platform for production planning. This study employs the Unified Theory of Acceptance and Use of Technology in conjunction with decision theory to identify key factors influencing the platform adoption at a coal mining company. Structured questionnaires were utilized, followed by analysis using the SmartPLS 4.0.9.9 software. Findings reveal that both Performance Expectancy and Effort Expectancy positively influence users’ behavioral intention to adopt digital platform for production planning. Behavioral Intention, in turn, significantly impacts actual usage behavior. Unanticipated situational factors and others' attitudes were found to have negligible mediating effects, while variables such as age and experience showed no moderating influence on the pathways from behavioral intention to usage behavior. Companies are advised to improve digital platform performance through functionalities enhancements and pilot testing to reduce perceived effort and stimulate behavioral intention. Additionally, fostering a positive organizational mindset through routine motivational communications can further stimulate usage behavior.

The Dilemma and Transformation of Teacher Roles in the Context of ChatGPT

Artificial intelligence such as ChatGPT has had a huge impact on the development of education. With the development and application of ChatGPT in the field of education, the issue of teacher roles being challenged has received widespread attention. This article discusses the development issues and transformation paths in the context of ChatGPT. This article believes that the role of teachers faces some challenges under the impact of artificial intelligence and urgently needs to adapt and transform. These issues include the weakening of teacher authority, alienation of teacher-student relationships, insufficient self-awareness of teacher roles, and a gap between knowledge and practice in teacher teaching practice. Based on this, this article analyzes that teachers need to transform from the original single teaching mode to guides, learning partners, "pilots" collaborative educators, integrators of teaching resources, and cultivators of knowledge construction for student learning. Therefore, to help teachers achieve better identity conversion, this article proposes the following suggestions. Teachers should fully understand their educational attributes, actively explore scientific educational methods, enhance their educational technology capabilities, integrate new-era educational resources, and help students become the leaders of learning.

Legal and Economic Analysis of Fair Use in the Process of Artificial Intelligence Creation in Data-Driven Era

In the era of digitalization, AI-generated content has emerged as a pivotal component within the creative industries, thereby instigating extensive deliberations concerning copyright protection and fair use. This study aims to scrutinize and analyze the equitable use of AI-generated content from both a legal and economic standpoint. This paper does a thorough review of the literature to introduce basic ideas about AI content creation and fair use. It then divides existing research into four separate areas: technical analysis, legal case analysis, economic impact analysis, and policy adaptation research. Despite notable advancements in both technological capabilities and legislative frameworks surrounding AI-generated content, there remains a dearth of comprehensive understanding, particularly with regard to its economic implications and policy implementation. Consequently, this study posits a significant research question on how to strike a balance between the fair usage of AI-generated content and upholding copyright protection in order to foster sustainable development within the creative industries. The findings presented herein offer novel perspectives and insights that can inform future policymaking endeavors as well as academic investigations.

Marketing and IT capability as mediators: The role of digital marketing and orientation on SMEs marketing performance

The aim of this research is to examine the correlation linking digital marketing and the digital sphere orientation on marketing performance of MSMEs in Indonesia. Then, how information technology capabilities and marketing capabilities can be mediating variables between these three variables. This research uses a quantitative approach. This research falls under the category of exploratory research. The population in this study was 2,766; the research sample came from 338 MSMEs that are Go-Food partners spread across 4 districts on the island of Madura, Indonesia. The findings of the study indicate that digital marketing and digital orientation significantly influence the marketing performance of MSMEs. Information technology and marketing capabilities can be mediating and are variables that support other variables. The impact of this research is practical for Small and Medium Enterprises because, by improving marketing performance, they can maximize and develop their marketing capabilities. Information technology and marketing capability are widely used in research involving large companies. This research brings information technology capability within the scope of MSMEs because digital marketing has been widely applied to improve marketing performance. Then, this research has a practical implication to contribute to the role of information technology and marketing capability to answer how digital marketing impacts marketing performance.

Software tools for organizing cloud computing in psychophysiological research based on eyetracking data

The architecture and web version of the software complex have been developed, which significantly expands the diagnostic capabilities of model-oriented information technologies for the assessment of the neurophysiological state. The complex provides cross-platform cloud computing, increases the productivity and efficiency of scientific research, using methods of non-parametric identification of the oculomotor system based on eyetracking data, which is achieved thanks to a new concept of cloud computing organization. Cloud computing technology has been further developed thanks to the proposed concept that combines the principles of PaaS (Platform as a Service) and SaaS (Software as a Service). The key feature of this software complex is its undemanding hardware on the client side thanks to the use of cloud computing, and its modular structure, which allows it to be easily scaled. Compared to other similar services, the complex has several advantages: it provides effective work in research and educational areas, supports several programming languages for improving algorithms, and also allows the use of ready-made identification methods through specially developed GUI interfaces. In addition, it offers social capabilities and a high level of abstraction that optimizes the research process.

Why Does Institutional Opening-up Promote the Enhancement of Innovation Capabilities in Chinese Enterprises?

China’s involvement in global economic governance has been a progressive and step-by-step ascent. While the domestic and international environment has undergone major changes, the process of economic globalization has taken on new trends, and China has entered a new stage of high-level opening up. This paper’s theoretical analysis suggests that high-level opening up helps enhance the quality of foreign capital utilization, thereby addressing the challenges associated with the lower technological benefits of previous foreign capital utilization and further facilitating the enhancement of innovation capabilities in Chinese enterprises. Guided by this theoretical framework, this study has measured the level of opening up in Chinese provinces from 2013 to 2022 using web crawling technology. Econometric tests conducted with Chinese enterprise panel data reveal that: firstly, First, it effectively promotes the improvement of the total innovation output of enterprises and significantly improves breakthrough innovation capabilities. This result still holds true under a series of robustness and endogeneity tests; secondly, it mainly improves local advantages and high-quality international The attraction of foreign capital and multinational companies enables local companies to achieve breakthroughs and catch-up in core technologies by learning and competing with advanced foreign companies, thereby enhancing their technological innovation capabilities; thirdly, for companies in different industries and different ownership attributes The impact of improving innovation capabilities may vary. This study helps promote a new paradigm of innovation-driven development in the context of high-level opening-up.

Digital core on a chip: Surfactant flooding in low-permeability reservoir

The development of hard-to-recover reserves every year requires ever-more-innovative industrial and laboratory approaches for efficient production of hydrocarbons. Oil industry has recently turned to the use of microfluidic technology to investigate the flow paths and interactions of reservoir fluids under high pressures and temperatures. The present study describes elaboration of a digital core on a chip, i.e. a microfluidic chip with the structure that replicates the void space of a selected reservoir and is designed based on the computed tomography images of core samples. Similarity of core samples and 2D generated structure was controlled through average pore diameter and structure morphology. The manufactured micromodels were used for surfactant compositions screening aiming to demonstrate the technology capabilities for further testing of various enhanced oil recovery (EOR) chemicals.Thus, several surfactants were examined in bulk employing standard screening procedures (stability evaluation, interfacial tension (IFT) measurements and phase behavior test with oil), and then were investigated in transparent microfluidic chips. Visualization of fluid flow in the porous structure is a primary advantage of microfluidics application for EOR. Hence, surfactant coreflooding-on-a-chip enabled correlation of IFT behavior of various surfactants with recovery efficiency, fast detection of in-situ emulsification and fluid flow distribution analysis in the porous media. Generally, symbiosis of two advanced technologies, i.e. microfluidics and digital core modeling, facilitated significant speed up of laboratory tests and reduce of their cost.

Flow Structure and Periodic Processes in a Disc-Shaped Vortex Chamber of a Hydrodynamic Cavitator

Introduction. The essence of the acoustic – cavitation processes is that the liquid is passed through sound with a pressure at the wave surface of more than 3 bar that causes local breaks of the liquid in the vacuum phase of the wave and the collapse in the manometric phase. The opposite walls of each cavern in the collapse approach at a speed exceeding two speed of sound, due to which a high energy density is achieved at the meeting point, and what is especially valuable is the mutual transitions of energies from one form to another, unattainable under normal conditions, and, moreover, as inside cavitation area and near it. The novelty of the work is confirmed by the results of a periodic information and patent analysis, and by four patents received for inventions on the topic under consideration.Aim of the Study. The study is aimed at improving the acoustic-cavitation qualities of a disk-shaped vortex chamber used as a liquid whistle.Materials and Methods. In the study, there were used numerical modeling of flows in the FlowVision program, experimental determination of flow rates using a pitot tube, film method, removal of frequency response using SpectraPLUS 5.0, and visualization of flows and processes on optically transparent devices by the method of color indicators in stroboscopic lighting high-speed video shooting.Results. The mechanism of sound generation and noise in the flow transiting through the device has been found. The corrective effect of pump pulsations f = 300 Hz on the sound generation mechanism was revealed. The disc-shaped character of the device, which encloses the input flow in cross section from three directions, contributes to creating a more expressive acoustic signal, forming two conjugate torus vortices along the shell that ensures uniformity of the circumferential flow, attenuation of longitudinal high-frequency oscillations f = 200 kHz, and the creation of periodic zones of increased pressure along the shell. The concentrated tangential entrance to the device determines the central asymmetry of the flows in it and a number of processes that create acoustic noise.Discussion and Conclusion. The frequency of the useful acoustic signal in the vortex chamber is proportional to the speed of the transit flow, and the amplitude is proportional to the dimensions of the device. Along with the useful signal created by the interaction of the peripheral and input parts of the transit flow, noise of similar frequencies is created in the device. Other sources of noise generation are due to the presence of a concentrated tangential input. The formation of two conjugate torus vortices along the shell can be used as a means of controlling the process of interaction between parts of the transit flow. The disc-shaped vortex chamber combines the functions of sound generation and the ability to create a centrifugal field, which expands its technological capabilities.

E-nose detection of changes in volatile profile associated with early decay of ‘Golden Delicious’ apple by Penicillium expansum

The ability of an electronic nose system to differentiate alterations in the volatile organic compound (VOCs) profile caused by early spoilage of ‘Golden Delicious’ apples due to Penicillium expansum was thoroughly evaluated. Three strains of this mould species (M639, pe2280 and pe2278) were individually used to inoculate ‘Golden Delicious’ apples, resulting in four different batches: (i) M639, (ii) pe2280, (iii) pe2278 and (iv) a control group (inoculated with sterile water). Volatile compounds were identified and quantified by gas chromatography/mass spectrometry (GC/MS), and signals from an electronic nose system (E-nose) were recorded for each batch with three different growth diameters: early stage (10 mm), middle stage (20 mm) and late stage (40 mm). A strong correlation was observed between the responses from multiple E-nose biosensors and the aromatic profile associated with fungal alterations in apples. Using linear discriminant analysis (LDA) models based on E-nose sensor data from the specified batches, we successfully differentiated healthy and infected samples, specifically three distinct groups: control, M639+pe2280 and pe2278. Remarkably, the recognition rates for total external samples exceeded 87% and reached 97% for samples in the early stage of fungal infection. These results validate the online capability of E-nose technology for the non-destructive evaluation of apple storage processes.

Ethical boundary decisions in intensive care medicine

Ethical decision-making is acornerstone of intensive care and emergency medicine. In acute scenarios, clinicians often face rapid, high-stakes decisions concerning life and death, made more challenging by time constraints and incomplete information. These decisions are further complicated by economic constraints, limited resources, and evolving technological capabilities. What decision-making aids and factors can be employed in ethical borderline cases within intensive care medicine? Fundamental ethical principles such as patient autonomy, beneficence, non-maleficence, and justice form the basis for medical treatment decisions. Evaluating the patient's will through advanced directives or proxy consensus is crucial, although advanced directives can be ambiguous. Assessing quality of life is increasingly important, with instruments such as the Clinical Frailty Scale (CFS) being utilized. For older patients, aholistic approach is recommended, focusing on overall health rather than chronological age. In patients with advanced underlying diseases, amultidisciplinary dialogue is essential. Decision-making in intensive care medicine requires careful consideration of medical, ethical, and individual factors. Despite advances in artificial intelligence and prognostic models, human judgment remains crucial. During periods of resource scarcity, ethically sound triage protocols are required. The challenge lies in applying these principles and factors in clinical practice while respecting the individuality of each patient.

Theranos: the Ethics of Innovation and Deception in Healthcare Technology

The case of Theranos, a health technology company founded by Elizabeth Holmes, presents a profound ethical dilemma that exemplifies the consequences of misrepresentation in healthcare innovation. This analysis examines the company's fraudulent claims regarding its blood-testing technology, which promised groundbreaking results using minimal blood samples. Initially lauded for its potential, Theranos attracted significant investment and partnerships before facing growing scrutiny due to internal whistleblower accounts and investigative journalism. The ethical issues at the core of this case involve the deliberate falsification of leadership's technological capabilities, which leads to harm to patients and significant financial losses for investors. The methodology of this study involved a comprehensive review of academic literature identified through Google Scholar, applying inclusion criteria that focused on ethical analysis, corporate leadership, and regulatory oversight. The selected documents were analyzed using Atlas.ti to code critical themes such as corporate misrepresentation, stakeholder rights, and regulatory failures. Utilizing a multi-faceted ethical analysis—incorporating utilitarian, deontological, virtue ethics, and rights-based perspectives—this study explores the failures of corporate leadership in adhering to professional and ethical obligations. It critically evaluates the responses by stakeholders, including actions taken by regulatory bodies and law enforcement, and discusses the lessons learned for the broader health technology sector. The study concludes by recommending more robust internal governance, transparent leadership, and proactive regulatory oversight as essential measures to prevent future ethical lapses in the industry. The analysis contributes to understanding ethics' critical role in maintaining trust and accountability within healthcare innovation.The case of Theranos, a health technology company founded by Elizabeth Holmes, presents a profound ethical dilemma that exemplifies the consequences of misrepresentation in healthcare innovation. This analysis examines the company's fraudulent claims regarding its blood-testing technology, which promised groundbreaking results using minimal blood samples. Initially lauded for its potential, Theranos attracted significant investment and partnerships before facing growing scrutiny due to internal whistleblower accounts and investigative journalism. The ethical issues at the core of this case involve the deliberate falsification of leadership's technological capabilities, which leads to harm to patients and significant financial losses for investors. The methodology of this study involved a comprehensive review of academic literature identified through Google Scholar, applying inclusion criteria that focused on ethical analysis, corporate leadership, and regulatory oversight. The selected documents were analyzed using Atlas.ti to code critical themes such as corporate misrepresentation, stakeholder rights, and regulatory failures. Utilizing a multi-faceted ethical analysis—incorporating utilitarian, deontological, virtue ethics, and rights-based perspectives—this study explores the failures of corporate leadership in adhering to professional and ethical obligations. It critically evaluates the responses by stakeholders, including actions taken by regulatory bodies and law enforcement, and discusses the lessons learned for the broader health technology sector. The study concludes by recommending more robust internal governance, transparent leadership, and proactive regulatory oversight as essential measures to prevent future ethical lapses in the industry. The analysis contributes to understanding ethics' critical role in maintaining trust and accountability within healthcare innovation.