Journal of Economics & Management Research
Journal of Economics & Management Research is an open access peer-reviewed journal from the publishers of Scientific Research and Community (SRC) which publishes articles in the form of written, video and power-point presentations from the arena of Economics & Management Research. The journal focuses to build up accessing the complete content of articles freely from online for reader’s perusal. Article acceptance will be in the form of Research, Review, Case Reports, Analysis, Magazines, Editorials, Opinion, Communications, Mini-Review, Short Communications, Picturized, Book Review, Video type and Power Point Presentations (PPTS). You can submit your article through online: https://www.onlinescientificresearch.com/submit-online or through Email attchment: economics@onlinescientificresearch.info
Positionless Marketing Theory, Positionless Marketing Strategy and Positionless Marketing Principles
The term Positionless Marketing was first coined by Saurav Kumar in his researches on marketing and consumer behaviour particularly based on artificial intelligence. The Marketing has evolved beyond static roles and siloed teams. In today’s hyper-dynamic environment, customer expectations demand more: speed, relevance, empathy, and personalization. That is where the Positionless Marketer thrives. Enabled by Positionless Marketing, modern marketers are no longer confined to the limitations of marketing assembly lines. They can now execute any marketing task instantly and independently, from audience segmentation to campaign creation to performance optimization. While this shift is powered by AI, automation, and real-time data, the underlying success still depends on one thing: understanding people. This is where Dale Carnegie’s timeless book: “How to Win Friends & Influence People,” published in 1936, becomes surprisingly modern. With more than 30 million copies sold, Carnegie’s principles remain essential for anyone trying to build meaningful relationships, including marketers. At its core, Positionless Marketing is about just that: forging genuine, personal connections at scale. Research Objective: How the core habits from Carnegie’s classic, map directly to the practice of Positionless Marketing and provides Positionless marketing theory, Positionless marketing strategy and Positionless marketing principles. Research Methodology: The study explains by using Dale Carnegie’s habits how positionless marketing can be emphasized and provides Positionless marketing theory, Positionless marketing strategy and Positionless marketing principles. Originality Value: The research first to foster a unique way of explaining the positionless marketing.
Copyright (c) 2025 Journal of Economics & Management Research
Financial Time Series: Adaptive Forecasting Frameworks
This paper analyzes various machine learning techniques applied to complex financial time series data for predictive analytics. It details essential data preprocessing and feature engineering, followed by a comparative evaluation of diverse algorithms, highlighting their effectiveness in dynamic market forecasting. The iterative evaluation process demonstrates a robust modeling feedback mechanism crucial for optimizing predictive accuracy in volatile environments. This work provides insights valuable for advancing Business with AI strategies, particularly in financial decision-making and risk management.
Economic Vulnerability, Land Use Planning and Human Capital in the West African Economic and Monetary Union (WAEMU): Analysis based on PASEC Data
This article examines the factors that influence the human capital of primary school students in six WAEMU countries, considering both the economic vulnerability of households and land use planning. Drawing on theories of human capital, intergenerational poverty, and educational resilience, it uses PASEC 2019 data and adopts a three-level multilevel model supplemented by a binary logit model to analyze factors of educational resilience. The results show that economic vulnerability significantly reduces human capital, while better spatial planning and favorable educational practices (preschool education, interest in reading, urban or private schooling) strengthen it. The study highlights the importance of an integrated approach combining social, educational, and territorial policies to reduce educational inequalities and strengthen human capital in the WAEMU region.
Exploring Financial Motives for Earnings Management in the Economic Crisis. Evidence from Greek and German Listed Companies
The study examines the impact of economic crisis and focuses on the reasons for cases of earnings management. More specifically, it analyses whether executive compensation, analysts’ forecasts and violation of debt covenants are important motives for accounting fraud. It also examines whether voluntary disclosure of financial information could improve the quality of financial information or confuse investors. The paper examines listed companies in the Greek and German stock markets from 2007 to 2009 to find out how these two economies reacted after the introduction of IFRS. Thus, it would be interesting to find out whether Germany, a strong EU economy, was able to eliminate earnings management motives, as most would predict, while also examining whether Greece, a weak economy, was able to achieve similar results. The results of the study provide useful insights as they confirm that companies that provide additional accounting disclosures perform better in both countries. However, the remaining results suggest that credit covenant violations, executive compensation and bonuses, and analyst forecasts remain strong motivators for earnings management in both countries studied. In this order, it seems that IFRS need to introduce and maintain improved mechanisms to overcome such phenomena.
Copyright (c) 2024 Journal of Economics & Management Research
The Ethical Implications of Artificial Intelligence in Decision-Making: Balancing Innovation with Accountability and Integrity
As Artificial Intelligence (AI) technologies become increasingly embedded in critical organizational decision-making processes, questions of ethics, accountability, and integrity have risen to the forefront of academic and industry discourse. This study investigates the ethical implications of AI in decisionmaking, with a specific focus on how organizations can balance technological innovation with moral responsibility and regulatory accountability. Guided by an integrated theoretical framework that combines Ethical Decision-Making Theory, Stakeholder Theory, the Technology Acceptance Model (TAM), and the Responsible Innovation Framework, this research provides a multidimensional perspective on AI ethics in practice. A quantitative research methodology was employed, gathering data from 395 stakeholders including AI developers, corporate leaders, ethics compliance officers, public regulators, data scientists, and end-users across sectors such as finance, healthcare, education, and government services. The study examines stakeholder perceptions on key ethical dimensions of AI implementation—algorithmic transparency, data privacy, bias mitigation, informed consent, accountability mechanisms, and the inclusiveness of AI design. A structured survey instrument was used to assess how these variables influence organizational trust, adoption willingness, and public acceptance of AI-driven decisions. The findings are expected to demonstrate that organizations that embed ethical safeguards and transparent governance frameworks within their AI systems can significantly enhance stakeholder trust, user engagement, and regulatory compliance. The study also highlights critical challenges, including the opacity of black-box algorithms, the absence of global ethical standards, the underrepresentation of marginalized groups in algorithmic training data, and the tensions between innovation speed and ethical reflection. Additionally, it explores how external institutional pressures—such as media scrutiny, customer expectations for ethical AI, investor demand for ESG-compliant practices, and evolving legal mandates—act as catalysts for adopting ethical AI governance models. This research makes several key contributions. First, it bridges a significant gap in the empirical literature on AI ethics by quantitatively analyzing perceptions across diverse industries and stakeholder categories. Second, it offers a conceptual model for balancing innovation with ethical accountability that can guide practitioners, policymakers, and technologists in AI strategy formulation. Third, it provides a framework for integrating responsible AI principles into corporate governance and digital transformation strategies. The study ultimately advocates for the co-evolution of ethical standards and AI capabilities to ensure that technological progress does not come at the expense of human values, social justice, or democratic integrity
Circular Organization of Economic Processes Symmetric Model of Economic Equilibrium
On the basis of dialectical analysis of basic economic categories a new understanding of economic value, price formation and general equilibrium has been proposed. Market economy appears as the form of a complex, non-linear, functionally closed and causally open system of economic actions. Such systems have a number of unique properties that are well studied by second-order cybernetics. The self-organization of a market economy is carried out through the recursive processes. Recursive processes in the economic system, as well as in other complex nonlinear dynamical systems, generate "eigenvalues" ("fixed points"). These "eigenvalues" are the equilibrium prices and quantities of goods to which through the recursive processes tend the actual prices and quantities, thus providing a tendency to the general equilibrium. However, due to constant influence on the system of random external factors, the general equilibrium is never achieved. On the base of created model the hidden relationships among the gross profit, gross saving, gross investment and gross consumption in debt, as well as the relationships among the other economic parameters are revealed. "Circularity is not a flaw but a feature. It transforms a vicious circle into a creative one." Heinz von Foerster "The whole is greater than the sum of its parts. Systemic properties are emergent and cannot be predicted from the properties of individual components." Ludwig von Bertalanffy "Production is also immediately consumption, consumption is also immediately production." Karl Marx
Inherited Family Trauma Model and Its Application in Jesmyn Ward's Sing, Unburied, Sing
Jesmyn Ward’s Sing, Unburied, Sing is a polyvocal narrative that touches on death, institutional racism and multi-generational trauma. The novel explores the trials and tribulations of a broken Mississippi family through the perspective of a twelve year old boy named Jojo, his mother Leonie, and a ghost by the name of Richie. Inherited family trauma is at the forefront of this novel as it unveils the effects of slavery and how stress factors and behavioral responses translate across generations.
Research on Development of Software Industry and Intelligent Industry in Taiyuan City
This research report focuses on the theme of development of software industry and intelligent industry in Taiyuan City. Through on-site inspections of local enterprises in Taiyuan and demonstration parks and innovation bases in advanced areas such as Beijing, Suzhou, Wuxi, and Nanjing, the current situation, existing problems, and future paths of software and intelligent industry development in Taiyuan City are analyzed. The report points out that Taiyuan City has achieved certain results in policy support, infrastructure, and talent cultivation, but compared with developed areas, there are still problems such as incomplete industrial ecology, small enterprise scale, insufficient cross-border integration, and talent shortage. To this end, the report proposes suggestions such as strengthening top-level design, optimizing industrial layout, focusing on key areas (such as artificial intelligence and industrial software), and improving element guarantee. It also draws on the experience of Suzhou Nano city, Wuxi Xue Lang Town, Nanjing Software Valley, etc., to provide feasible solutions for Taiyuan to build a new highland for the development of software and intelligent industries in the central region.
The Effect of Strategic Planning and Business Performance of Micro-Small and Medium Enterprises in Kaduna State of Nigeria
The overarching objective of this study is to measure the effect of strategic planning on performance of Micro-Small and medium enterprises in Kaduna state as focal point. In recent times, entrepreneurial competencies and strategic planning dimension’s role has been acknowledge as prime and imperative factors and tools for MSMEs performance. In spite of this imperative factors there are insufficient research evidence on the roles, values and produce of strategic planning for MSMEs. Past studies has also shown that many researchers use one dimensional measure of strategic planning, which is not in line with the multi-dimensional nature of strategic planning. This present study therefore intends to close this gap. This study aims to identify the entrepreneurship competency and strategic dimensions that an entrepreneur needs to acquire to operate his/her business successfully particularly the owners of the enterprises. The study used both survey and descriptive research designed and questionnaire was distributed to MSMEs in Kaduna Metropolis. The study population for this study was 480 owners of MSMEs in Kaduna metropolis. The sample size was derived using taro Yamane and the sample was arrived at 234.however, 185 questionnaires was retrieved with only 133 were properly filled which was used as a base for the purpose of data presentation and analysis. The research model was interrogated using SPSS-21 version and results revealed that there is a significant positive relationship between strategic planning dimensions and entrepreneurial competencies on the performance of MSMEs. Both strategic planning dimensions and entrepreneurial competencies has positive relationship with performance of operators/owners of MSMEs in Kaduna Metropolis. In general, this finding supported the view that competency can override predisposition of individual entrepreneur. The study recommended that every MSMEs owners should engage in strategic planning process so as build the needed entrepreneur’s competency and create a synergy between the markets and the business activities for high performance.
Adaptation of Business Models in Innovative Startups: An Empirical Analysis within the LA START UP STATION Incubator
This article examines how innovative startups adapt their business models in an environment marked by high uncertainty. Based on a case study conducted with companies supported by the LA START UP STATION incubator, the analysis highlights an iterative adjustment process relying on approaches such as Lean Startup, Effectuation, and Design Thinking. The results emphasize the importance of experimentation, market feedback, and strategic flexibility to ensure product-market fit.
The Role of Fossil Fuel Subsidy Reforms in the Nexus Between Fossil Fuel Consumption and Economic Growth in Nigeria: Evidence fromTwo-Stage Least Squares (2SLS) and Granger Causality Approaches
The fossil fuel reformes has become a global imperative strategy to achieve the modern economic growth objectives in the face of rapid changes in industrial revolution, and socio-economic challenges, with focus to the developing economies. This motivated the empirically analysis of the role of fossil fuel subsidy in the nexus between fossil fuel consumption and economic growth in Nigeria from 1973 to 2024. This Study employs a Two stage least squares (2SLS) to resolve the endogeneity problem in the previous studies and also estimate ordinary least squares and Granger causality as a robustness check for the existing studies. Findings reveal that a 1% increase in PMS fuel consumption through the instrumental variables during the partial fuel subsidy removal has increased economic growth by 37.22% whereas, a 1% increase in PMS fuel consumption through the instrumental variables during the full fuel subsidy removal has decreased the economic growth by 0.34% in this study. This study recommends emphasize on premium motor spirit price, exchange rate, number of refineries, and real GDP per capita in the pursuit of fuel subsidy reform to directly and indirectly promotes fuel consumption and economic growth by the Nigeria energy stakeholders, especially the government.
External Finance or Government Subsidy? Evaluating the Impact ofMultiple-Funds on High-Tech SMEs’ Innovation in Shandong Province,China
This paper addresses the challenge of evaluating the influence of external finance and government subsidies on innovation in high-tech SMEs, within a financial policy-driven context in China. Using a firm-level panel dataset from 2011 to 2020, we aim to shed light on this issue. Our results show that both types of funding positively impact high-tech SMEs’ innovation, and government subsidies can strengthen the positive impact of external finance on high-tech firms’ innovation. We also find that private firms’ innovation benefits more from external financing than state-owned firms. Furthermore, an additional analysis of in-depth interviews with policy-makers, about the impact of fiscal policy in Shandong province in China, enhance the validity and generalizability of our findings. Our study reveals that government subsidies play an active monitoring role by providing insurance to firm managers against innovation failures and providing new insights to both policy-makers and firm managers.
Food Security in SAARC and Climate Change
The paper tries to examine the impact of climate change indicators (e.g., CO2 emissions, N2 O and CH4 emissions from land use, rice and cereals, temperature change and food inflation rate) on the variability of food supply in kilo calorie per capita per day in SAARC during 2000-2021 by applying panel regression and panel cointegration and vector error correction methods. The paper found that there is significant impact of emissions from land use, rice and cereals and emissions from CO2 respectively according to fixed effects model. The Pedroni, Kao and Johansen-Fisher panel cointegration among the variables assured long run association and there are significant short run causalities from food price inflation rate and from temperature change to variability of food supply respectively. The long run causality implies that the incremental variability of food supply is significantly positively related with incremental emissions from land use and incremental CO2 while significantly negatively related with emission from rice and cereals. It was found from VECM that the incremental variability of food supplyin kilo calorie per capita per day showed significant negative relation with incremental temperature change and significant positive relation with incremental food price inflation rate respectively.
The Impact of Influencer Mix Strategies on Engagement Rates: A Difference-in-Differences Analysis of Instagram Marketing Campaigns
The rise of social media has positioned influencer marketing as a cornerstone of contemporary brand strategies, yet the comparative effectiveness of microinfluencers (10,000–99,999 followers) versus macro-influencers (≥100,000 followers) remains inadequately debated. This study extends the discourse by introducing a novel "mix strategy"—where brands collaborate with both micro- and macro-influencers and evaluates its impact on engagement rates compared to single-influencer approaches. Leveraging simulated data from the "2022 Social Media Influencers" dataset on Kaggle, this research applies a Difference-in-Differences (DID) model to estimate the causal effect of the mix strategy. The eventual findings reveal that the mix strategy of one micro- and one macro- influencer significantly outperforms the single-influencer strategy, which could increase the engagement rates by approximately 1.2 percentage points. This research advances influencer marketing literature by offering empirical evidence of the mix strategy’s efficacy and provides actionable insights for optimizing brand marketing strategies on social media and future influencer endorsement plans.
Why Free Trade Can Derail Development in Developing Countries
Free trade is defined as an international commerce policy that advocates for the elimination of barriers to trade between countries.
Investigating the Impact of Strategic Business Analysis on SMEs in Nigeria
This paper examines the critical role of business analysis in shaping small and medium-sized enterprises’ strategies for better odds of success in the everevolving Nigerian economy and within the competitive markets. Business analysis ability, as a knowledge-supporting factor, focuses on understanding consumer needs, planning, data collection, analysis, and presentation to decision-makers. The process begins with strategic planning and meticulous data collection, facilitating a deep understanding of the business and consumer behavior and process potential. Analytical skills unearth the true potential of organizational processes, particularly in product creation, resulting in distinctive and highly valued products. Such products align with theories like the resource-based view or VRIO theory, driving increased sales volume—a key performance metric. By leveraging analytical capabilities, Nigerian SMEs can navigate complex market dynamics, create value-driven businesses, and differentiate themselves from competitors thus increasing the odds of success. This paper sets the stage for further research into the impact of business analysis on organizational success within dynamic market landscapes
[Elite] Universities: The Cradle of Pending Anomalies in Various Forms? DEI + Social Media /ai as “Explosive Crisis”
The current era revealed the true dimensions of DEI in combination with influence of social media / AI in the sacred, secret/untouchable environments of [elite] Universities and beyond. These interpretation / short commentary / diagnostics – using 103 years old Bogdanov’s Tektology (Tektologia) – of Crisis management/tackling DEI is unique, revolutionary/controversial in some selected viewpoint, and beyond the state of art. Arguably, absolute perfection is out of reach (=inevitable existence of some uncertainties and nescience) and will always remain such. “There are no Secrets Better Kept Than the Secrets That Everybody Guesses.” G. B. Shaw.
Assessing the Similarity Between the q-Gaussian Distribution and Surprises in Earnings Forecasting
The proposal of a generalization of statistical mechanics by has been widely applied across various scientific fields, including financial studies.
How Financial Data Aggregators are Revolutionizing Investment and Wealth Management and Credit Reporting
In an era dominated by digital transformation, financial data aggregators have emerged as essential enablers of innovation across the financial services industry. These platforms serve as bridges between disparate financial systems, collecting, normalizing, and presenting data from a multitude of financial sources including banks, investment platforms, credit institutions, and other financial entities. This consolidation empowers financial institutions, wealth managers, and individuals with a comprehensive overview of financial positions and transactional histories, fundamentally altering the way investment strategies are devised, wealth is managed, and credit is assessed. This paper explores in depth the transformative impact of financial data aggregators on three interconnected domains: investment management, wealth management, and credit reporting. Through a comprehensive examination of their technologies, applications, and implications, this study demonstrates how aggregators are shaping a more transparent, efficient, and inclusive financial ecosystem. Additionally, it discusses the ethical, regulatory, and security considerations essential for the sustainable integration of these technologies.
Perfect Harmony Ledger (PHL) a Blueprint for a Multidisciplinary, Energy-Efficient and Self-Enforcing Consensus System
The Perfect Harmony Ledger (PHL) is a next-generation blockchain consensus mechanism that enforces a “law of nature” on every state update. Every transaction or block update preserves a global invariant across all dimensions of the state, ensuring that the system evolves in one unique, irreversible trajectory. By integrating ideas from dynamical systems, recursive cryptography (SNARKs), adaptive control, quantum-inspired optimization, evolutionary algorithms, topology, and swarm intelligence, the PHL architecture achieves robust, energy-efficient, and adaptive consensus. This paper details the theoretical foundation, presents a unified architectural blueprint including detailed diagrams, and provides a roadmap for developing and deploying the PHL.
Enhancing Family Medicine Practice Through Effective Primary HealthCare Team Formation
This correspondence highlights the importance of team cohesiveness, patient perspectives and community engagement in enhancing primary health care team effectiveness. It emphasizes the need for clear goals while advocating for a supportive environment that prioritizes team dynamics, ultimately leading to improved health outcomes in resource-limited settings.
The Application of Artificial Intelligence in the Investment Field
The application of artificial intelligence technology in the financial sector has brought about significant transformations across the entire financial industry, giving rise to innovative financial services such as intelligent financial advisory, intelligent credit assessment and monitoring and intelligent customer service. However, the application of AI technology in financial sector also faces a series of challenges and difficulties. To enhance core research and development capabilities, it is necessary to integrate and utilize big data resources, build and improve a secure and widely shared data ecosystem, establish and optimize multiple risk prevention mechanisms, and improve the risk control level of AI technology. Reforms and improvements in financial regulatory mechanisms are needed to achieve comprehensive oversight of the application of AI technology in the financial sector, providing favorable conditions for promoting innovative and standardized development in the financial industry
The ACP Theory for Industry Agnostic Emergency Preparedness &Management
Global climate change is real. Gun violence in the United States is endemic and unfortunately, a regular part of life. Flash mob crime is trending. Pandemics continually prove they will return deadlier. As humans expand on planet Earth, we encroach on areas which have not been exposed to human touch. The Earth, much less the universe, has proven it can and does host extinction events on a recurring basis. That said, humans have to live, work, and hopefully thrive in a tenuous world and the consequences of natural and or human actions associated with their (human) existence. Emergency & Risk Management as a coping mechanism is not in step with natural and current societal changes. Thus, a new way to address crisis and consequence is needed, such as the Adaptive Contingency Process Theory or ACP.
Inflation Adjustment Dynamics Under Fixed and Managed Flexible Exchange Rate Regimes in Nigeria: Nonlinear Autoregressive DistributedLag (Nardl) Models
This study investigates the dynamics of inflation adjustment under fixed and managed flexible exchange rate regimes in Nigeria. Using quarterly secondary data, the analysis spans 1981–1986 for the fixed exchange rate period and 1987–2023 for the managed flexible exchange rate period. The dependent variable is the consumer price index (CPI), while the independent variables include the nominal exchange rate (NEXRT), fixed and managed flexible exchange rates, and real gross domestic product (RGDP). Economic challenges, such as the Central Bank of Nigeria's (CBN) inability to maintain a fixed exchange rate due to declining foreign exchange reserves and rising demand for dollars, prompted the shift to a managed exchange rate regime. The ADF and PP unit root tests reveal that CPI is stationary at level (I(0)), while NEXRT and RGDP are stationary after first differencing (I(1)). The ARDL bounds test confirms a long-run relationship among the variables, indicating co-integration. Employing the NARDL model, the findings reveal that under the fixed exchange rate regime, short-run disequilibria are corrected by 53% in the long run, with statistical significance (p = 0.0008). For the managed flexible exchange rate regime, deviations are corrected by 85% in the long run, also statistically significant (p = 0.0000). The study recommends that monetary authorities enhance dollar availability to support policy objectives and curb inflationary pressures.
Time Management and its Influence on Employee’s Performance in Local Government of Boyo in the North West Region of Cameroon
Purpose: To examine the effect of time management on employee performance in Local Government organizations (Councils) in Boyo Division, Cameroon. Methodology: Data for the study was gotten from primary sources. 80 structured questionnaires were administered to employees of the Councils who were selected through the stratified sampling technique. Data was analyzed using descriptive and inferential analysis and presented using tables. Findings: The results suggest that time management has a significant influence on employee performance. It also showed that there exists a significant correlation between the punctuality and employee performance. Originality: This study demonstrates that time must be treated with care by all since time management of employees influences the productivity of the bottom line of the organization and that the management and employees of councils should be able to identify primary objectives so that they can put in place those time management strategies that best satisfy them.
Determinants of Indian Fiscal Deficit in NARDL Model
In this paper the author showed the trends of fiscal deficit and examined the short run and the long run nexus between fiscal deficit and gross domestic product per capita, inflation rate (CPI), external debt (% of GDP), unemployment rate (% of labour force), income inequality (income share difference between top 10% and bottom 50%), and military expenditure respectively during 1950-51-2023-24 in India by applying Non-linear Auto Regressive Distributed Lag model. It found that the estimated NARDL (3,4,4,2,0,4,0,0,0,0,0,1) model revealed both positive and negative changes of GDP per capita, inflation rate, & external debt which produced both negative and positive impacts on fiscal deficit respectively. The positive and negative changes of unemployment, income inequality and defense expenditure created positive impact insignificantly. Cointegration equation showed convergent but relation between positive change in inflation at lag 1 is only significant on fiscal deficit and the rests are insignificant. The positive and negative changes in the long run are symmetrical that’s why the cumulative dynamic multiplier shocks from positive and negative changes from all determinants have created explosive symmetrical impacts on fiscal deficit. The model is stable, non-normal, heteroscedastic and serially correlated.
Professional Relations, Trade Unionism, and Social Conflicts in Capitalism in the Democratic Republic of the Congo
This paper explores the dynamics of labor relations, trade unionism, and social conflicts in the Democratic Republic of the Congo (DRC) within the context of capitalism. Through a literature review and visual data, we analyze the challenges and opportunities faced by trade unions, the common types of social conflicts, and the impact of economic policies on labor relations. The results show that, despite a challenging environment, trade unions play a crucial role in defending workers’ rights. However, legislative reforms and better enforcement of labor laws are necessary to improve working conditions and reduce social conflicts.
The Algorithmic Doctor: Bridging The Transparency Gap in AI Driven Healthcare
Artificial intelligence (AI) is rapidly transforming healthcare, offering the potential to improve diagnostic accuracy, personalize treatment plans, and optimize resource allocation. However, the increasing complexity and opacity of AI algorithms, particularly in deep learning models, pose a significant challenge to trust, accountability, and ultimately, patient safety. This research investigates the transparency gap in AI-driven healthcare, exploring the perceptions of healthcare professionals and patients regarding the explainability and interpretability of AI-based diagnostic and treatment recommendations. Through surveys, we examine the factors contributing to the transparency gap, the impact on trust and adoption, and potential strategies for bridging this gap through explainable AI (XAI) techniques and improved communication. The findings highlight the urgent need for enhanced transparency in AI-driven healthcare to ensure responsible and ethical deployment of these powerful technologies.
Impact of Corporate Governance on Value Creation: Evidence from Tunisian Context Pre- and Post-Revolution
The purpose of this study is to investigate the impact of governance mechanisms on value creation for Tunisian companies listed on the Tunis Stock Exchange from 2007 to 2016. Our findings suggest that, prior to the revolution, governance did not significantly affect value creation. However, after the revolution period, several governance factors were found to have a positive influence on value creation, with the exception of control block ownership which had a negative impact. These outcomes highlight the importance of implementing mandatory laws based on good governance principles to enhance corporate governance practices in Tunisia.
Navigating Cash Call and Revenue Challenges in Nigeria’s Oil and GasSector: Strategic Implications, Economic Impacts, and Policy Lessons
The Nigerian oil and gas industry is vital to its economy, contributing significantly to its revenue and foreign exchange earnings. Central to this industry is the mechanism of cash calls, a financial instrument utilized in joint venture agreements between the Nigerian National Petroleum Corporation (NNPC) and international oil companies (IOCs) for funding exploration and production activities. It performs a pivotal role in sustaining operations and driving growth in the sector. However, significant drawbacks include corruption and governance issues, security concerns, environmental and social impacts, regulatory and policy framework limitations, and the imperative for economic diversification. Examining these challenges in detail sheds light on the complex landscape of the industry and proposes potential solutions for its sustainable development. Hence, this research paper explores the future outlook of the Cash call mechanism in the Nigerian oil and gas industry.