Journal of Economics & Management Research
type: channel
description: 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
publisher: Scientific Research and Community
language: en
publication name: Journal of Economics & Management Research
issn: 2755-0214
items: Positionless Marketing Theory, Positionless Marketing Strategy and Positionless Marketing Principles
items: Financial Time Series: Adaptive Forecasting Frameworks
items: Economic Vulnerability, Land Use Planning and Human Capital in the West African Economic and Monetary Union (WAEMU): Analysis based on PASEC Data
items: Exploring Financial Motives for Earnings Management in the Economic Crisis. Evidence from Greek and German Listed Companies
items: The Ethical Implications of Artificial Intelligence in Decision-Making: Balancing Innovation with Accountability and Integrity
items: Circular Organization of Economic Processes Symmetric Model of Economic Equilibrium
items: Inherited Family Trauma Model and Its Application in Jesmyn Ward's Sing, Unburied, Sing
items: Research on Development of Software Industry and Intelligent Industry in Taiyuan City
items: The Effect of Strategic Planning and Business Performance of Micro-Small and Medium Enterprises in Kaduna State of Nigeria
items: Adaptation of Business Models in Innovative Startups: An Empirical Analysis within the LA START UP STATION Incubator
items: 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
items: External Finance or Government Subsidy? Evaluating the Impact ofMultiple-Funds on High-Tech SMEs’ Innovation in Shandong Province,China
items: Food Security in SAARC and Climate Change
items: The Impact of Influencer Mix Strategies on Engagement Rates: A Difference-in-Differences Analysis of Instagram Marketing Campaigns
items: Why Free Trade Can Derail Development in Developing Countries
items: Investigating the Impact of Strategic Business Analysis on SMEs in Nigeria
items: [Elite] Universities: The Cradle of Pending Anomalies in Various Forms? DEI + Social Media /ai as “Explosive Crisis”
items: Assessing the Similarity Between the q-Gaussian Distribution and Surprises in Earnings Forecasting
items: How Financial Data Aggregators are Revolutionizing Investment and Wealth Management and Credit Reporting
items: Perfect Harmony Ledger (PHL) a Blueprint for a Multidisciplinary, Energy-Efficient and Self-Enforcing Consensus System
items: Enhancing Family Medicine Practice Through Effective Primary HealthCare Team Formation
items: The Application of Artificial Intelligence in the Investment Field
items: The ACP Theory for Industry Agnostic Emergency Preparedness &Management
items: Inflation Adjustment Dynamics Under Fixed and Managed Flexible Exchange Rate Regimes in Nigeria: Nonlinear Autoregressive DistributedLag (Nardl) Models
items: Time Management and its Influence on Employee’s Performance in Local Government of Boyo in the North West Region of Cameroon
items: Determinants of Indian Fiscal Deficit in NARDL Model
items: Professional Relations, Trade Unionism, and Social Conflicts in Capitalism in the Democratic Republic of the Congo
items: The Algorithmic Doctor: Bridging The Transparency Gap in AI Driven Healthcare
items: Impact of Corporate Governance on Value Creation: Evidence from Tunisian Context Pre- and Post-Revolution
items: Navigating Cash Call and Revenue Challenges in Nigeria’s Oil and GasSector: Strategic Implications, Economic Impacts, and Policy Lessons

Positionless Marketing Theory, Positionless Marketing Strategy and Positionless Marketing Principles
type: item
description: 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.
subject: Articles
  topic: section
subject: Positionless Marketing Theory
  topic: keywords
subject: Positionless Marketing Strategy
  topic: keywords
subject: Positionless Marketing Principles
  topic: keywords
creator: Saurav Kumar
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-12-31
publication date: 2025-12-31
starting page: 1
ending page: 8
doi: 10.47363/JESMR/2025(6)319

Financial Time Series: Adaptive Forecasting Frameworks
type: item
description: 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.
subject: Articles
  topic: section
subject: Financial time series
  topic: keywords
subject: exhibit non-linear
  topic: keywords
subject: ARIMA and GARCH
  topic: keywords
creator: Pranavi Reddy
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-12-09
publication date: 2025-12-09
starting page: 1
ending page: 6
doi: 10.47363/JESMR/2025(6)315

Economic Vulnerability, Land Use Planning and Human Capital in the West African Economic and Monetary Union (WAEMU): Analysis based on PASEC Data
type: item
description: 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.
subject: Articles
  topic: section
subject: Human Capital
  topic: keywords
subject: Economic Vulnerability
  topic: keywords
subject: School Infrastructure
  topic: keywords
subject: Educational Resilience
  topic: keywords
subject: WAEMU
  topic: keywords
subject: Primary Education
  topic: keywords
creator: Agbessi Augustin DOTO
creator: Koffi Charles SAGBO
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-12-08
publication date: 2025-12-08
starting page: 1
ending page: 7
doi: 10.47363/JESMR/2025(6)314

Exploring Financial Motives for Earnings Management in the Economic Crisis. Evidence from Greek and German Listed Companies
type: item
description: 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.
subject: Articles
  topic: section
subject: IFRS
  topic: keywords
subject: Earnings Management
  topic: keywords
subject: Executives Compensation
  topic: keywords
subject: Debt Covenants
  topic: keywords
subject: Analysts’ Forecasts
  topic: keywords
subject: Volunteer Accounting Disclosure
  topic: keywords
creator: Sotirios Rouvolis
rights: Copyright (c) 2024 Journal of Economics & Management Research
date: 2024-12-10
publication date: 2024-12-10
starting page: 1
ending page: 17
doi: 10.47363/JESMR/2024(5)260

The Ethical Implications of Artificial Intelligence in Decision-Making: Balancing Innovation with Accountability and Integrity
type: item
description: 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…
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Ethical Decision-Making
  topic: keywords
subject: Algorithmic Accountability
  topic: keywords
subject: Innovation Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Bias Mitigation
  topic: keywords
subject: Data Ethics
  topic: keywords
subject: Stakeholder Theory
  topic: keywords
subject: Responsible Innovation
  topic: keywords
subject: Technology Acceptance Model
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Integrity in AI
  topic: keywords
subject: Regulatory Compliance
  topic: keywords
subject: Human-Centered AI
  topic: keywords
subject: Institutional Pressures
  topic: keywords
subject: Trust in AI Systems
  topic: keywords
creator: Shankar Subramanian Iyer
creator: Raman Subramanian
creator: Brinitha Raji
creator: Rajesh Arora
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-10-09
publication date: 2025-10-09
starting page: 1
ending page: 11
doi: 10.47363/JESMR/2025(6)305

Circular Organization of Economic Processes Symmetric Model of Economic Equilibrium
type: item
description: 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
subject: Articles
  topic: section
subject: economic equilibrium
  topic: keywords
subject: natural sciences
  topic: keywords
creator: Paata Leiashvily
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-10-15
publication date: 2025-10-15
starting page: 1
ending page: 9
doi: 10.47363/JESMR/2025(6)306

Inherited Family Trauma Model and Its Application in Jesmyn Ward's Sing, Unburied, Sing
type: item
description: 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.
subject: Articles
  topic: section
subject: Jesmyn Ward’s Sing
  topic: keywords
subject: translate
  topic: keywords
creator: Alexandra Tangarife
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-10-21
publication date: 2025-10-21
starting page: 1
ending page: 2
doi: 10.47363/JESMR/2025(6)307

Research on Development of Software Industry and Intelligent Industry in Taiyuan City
type: item
description: 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.
subject: Articles
  topic: section
subject: Software Industry Upgrading
  topic: keywords
subject: Intelligent Industry
  topic: keywords
subject: Digital Economy
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Industrial Software
  topic: keywords
creator: Zhiheng Ren
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-09-15
publication date: 2025-09-15
starting page: 1
ending page: 4

The Effect of Strategic Planning and Business Performance of Micro-Small and Medium Enterprises in Kaduna State of Nigeria
type: item
description: 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 entrepren…
subject: Articles
  topic: section
subject: Strategic Planning
  topic: keywords
subject: Entrepreneurship
  topic: keywords
subject: Entrepreneurship Competency
  topic: keywords
creator: Abdalla Eltom Abdalla Mohamed
creator: Harna Ismail Maikujeri
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-09-05
publication date: 2025-09-05
starting page: 1
ending page: 14

Adaptation of Business Models in Innovative Startups: An Empirical Analysis within the LA START UP STATION Incubator
type: item
description: 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.
subject: Articles
  topic: section
subject: Business Model
  topic: keywords
subject: Startup
  topic: keywords
subject: Innovation
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Lean Startup
  topic: keywords
subject: Effectuation
  topic: keywords
subject: Design Thinking
  topic: keywords
creator: Sara Ousghir
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-09-12
publication date: 2025-09-12
starting page: 1
ending page: 4

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
type: item
description: 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.
subject: Articles
  topic: section
subject: Fossil Fuel Consumption
  topic: keywords
subject: Economic Growth
  topic: keywords
subject: Fuel Subsidy Reforms
  topic: keywords
subject: Two-Stage Least Squares (2SLS)
  topic: keywords
creator: Oluwatosin Olatunji Oluyomi
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-09-24
publication date: 2025-09-24
starting page: 1
ending page: 14

External Finance or Government Subsidy? Evaluating the Impact ofMultiple-Funds on High-Tech SMEs’ Innovation in Shandong Province,China
type: item
description: 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.
subject: Articles
  topic: section
subject: High-Tech SMEs
  topic: keywords
subject: External Financing
  topic: keywords
subject: overnment Subsidies
  topic: keywords
subject: China
  topic: keywords
creator: Hongwei Cao
creator: Jing Shi
creator: Mengya Diao
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-09-06
publication date: 2025-09-06
starting page: 1
ending page: 12

Food Security in SAARC and Climate Change
type: item
description: 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.
subject: Articles
  topic: section
subject: Variability Of Food Supply
  topic: keywords
subject: Co2 Emission
  topic: keywords
subject: Temperature Change
  topic: keywords
subject: Emission from Land Use
  topic: keywords
subject: Emission from Rice and Cereals
  topic: keywords
subject: Panel Regression
  topic: keywords
subject: Panel Cointegration
  topic: keywords
creator: Debesh Bhowmik
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-07-08
publication date: 2025-07-08
starting page: 1
ending page: 11
doi: 10.47363/JESMR/2025(6)298

The Impact of Influencer Mix Strategies on Engagement Rates: A Difference-in-Differences Analysis of Instagram Marketing Campaigns
type: item
description: 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.
subject: Articles
  topic: section
subject: Influencer Marketing
  topic: keywords
subject: Engagement Rate
  topic: keywords
subject: MicroInfluencers
  topic: keywords
subject: Macro-Influencers
  topic: keywords
subject: Brand Strategy
  topic: keywords
creator: Wei Yan
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-07-21
publication date: 2025-07-21
starting page: 1
ending page: 4
doi: 10.47363/JESMR/2025(6)302

Why Free Trade Can Derail Development in Developing Countries
type: item
description: Free trade is defined as an international commerce policy that advocates for the elimination of barriers to trade between countries.
subject: Articles
  topic: section
subject: economics
  topic: keywords
subject: developing
  topic: keywords
creator: Shuyu Zhang
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-07-02
publication date: 2025-07-02
starting page: 1
ending page: 3
doi: 10.47363/JESMR/2025(6)300

Investigating the Impact of Strategic Business Analysis on SMEs in Nigeria
type: item
description: 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
subject: Articles
  topic: section
subject: Business Analysis
  topic: keywords
subject: SMEs
  topic: keywords
subject: Business Strategy
  topic: keywords
creator: Gbemileke T. Oyeniran
creator: Adeyemi Olatunbosun
creator: Babatunde I. Adio
creator: Adetoun Adeleke
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-07-08
publication date: 2025-07-08
starting page: 1
ending page: 5
doi: 10.47363/JESMR/2025(6)301

[Elite] Universities: The Cradle of Pending Anomalies in Various Forms? DEI + Social Media /ai as “Explosive Crisis”
type: item
description: 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.
subject: Articles
  topic: section
subject: DEI
  topic: keywords
subject: Advanced Technologies
  topic: keywords
subject: Universities
  topic: keywords
subject: Tektology
  topic: keywords
subject: Cyber/Systemic Approach
  topic: keywords
creator: Teodora Ivanuša
creator: Matjaž Mulej
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-07-28
publication date: 2025-07-28
starting page: 1
ending page: 4
doi: 10.47363/JESMR/2025(6)299

Assessing the Similarity Between the q-Gaussian Distribution and Surprises in Earnings Forecasting
type: item
description: The proposal of a generalization of statistical mechanics by has been widely applied across various scientific fields, including financial studies.
subject: Articles
  topic: section
subject: forecasting
  topic: keywords
subject: Earnings
  topic: keywords
creator: Yuri Becaleti dos Santos
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-08-05
publication date: 2025-08-05
starting page: 1
ending page: 9

How Financial Data Aggregators are Revolutionizing Investment and Wealth Management and Credit Reporting
type: item
description: 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.
subject: Articles
  topic: section
subject: Financial Data Aggregators
  topic: keywords
subject: Investment Management
  topic: keywords
subject: Wealth Management
  topic: keywords
subject: Credit Reporting
  topic: keywords
subject: Fintech
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Data Integration
  topic: keywords
subject: Open Banking
  topic: keywords
subject: Digital Transformation
  topic: keywords
creator: Surya Ravikumar
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-08-18
publication date: 2025-08-18
starting page: 1
ending page: 4
doi: 10.47363/JESMR/2025(6)303

Perfect Harmony Ledger (PHL) a Blueprint for a Multidisciplinary, Energy-Efficient and Self-Enforcing Consensus System
type: item
description: 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.
subject: Articles
  topic: section
subject: Traditional consensus
  topic: keywords
subject: amounts of energy
  topic: keywords
creator: Erez Ashkenazi
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-06-10
publication date: 2025-06-10
starting page: 1
ending page: 3
doi: 10.47363/JESMR/2025(6)297

Enhancing Family Medicine Practice Through Effective Primary HealthCare Team Formation
type: item
description: 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.
subject: Articles
  topic: section
subject: Primary Health Care Team
  topic: keywords
subject: Effectiveness
  topic: keywords
subject: Team Cohesion
  topic: keywords
subject: Patient Perspectives
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Health Outcomes
  topic: keywords
subject: Goal Setting
  topic: keywords
subject: Team Dynamics
  topic: keywords
subject: Resource Limitations
  topic: keywords
subject: East Africa
  topic: keywords
creator: Mteeve Brian Amugune
creator: Ian Basil Kibet
creator: Jjuuko Edrin Edrin
creator: Doreen Birungi
creator: Nyan Kyaw Swar
creator: Sewagudde Paul
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-05-05
publication date: 2025-05-05
starting page: 1
ending page: 2
doi: 10.47363/JESMR/2025(6)292

The Application of Artificial Intelligence in the Investment Field
type: item
description: 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
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Finance
  topic: keywords
subject: Investment Field
  topic: keywords
creator: Yan Pu
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-05-26
publication date: 2025-05-26
starting page: 1
ending page: 3
doi: 10.47363/JESMR/2025(6)295

The ACP Theory for Industry Agnostic Emergency Preparedness &Management
type: item
description: 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.
subject: Articles
  topic: section
subject: Global climate
  topic: keywords
subject: Emergency/Contingency
  topic: keywords
subject: Emergency
  topic: keywords
creator: Rushton Prince
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-05-05
publication date: 2025-05-05
starting page: 1
ending page: 3
doi: 10.47363/JESMR/2025(6)291

Inflation Adjustment Dynamics Under Fixed and Managed Flexible Exchange Rate Regimes in Nigeria: Nonlinear Autoregressive DistributedLag (Nardl) Models
type: item
description: 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.
subject: Articles
  topic: section
subject: E31-Inflation
  topic: keywords
subject: D520-Nominal Exchange Rate
  topic: keywords
subject: C32- NKPC
  topic: keywords
subject: Nigeria
  topic: keywords
creator: Gbenga Adeyemi
creator: Helen Nwobodo
creator: Olufemi Alawode
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-05-26
publication date: 2025-05-26
starting page: 1
ending page: 8
doi: 10.47363/JESMR/2025(6)296

Time Management and its Influence on Employee’s Performance in Local Government of Boyo in the North West Region of Cameroon
type: item
description: 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.
subject: Articles
  topic: section
subject: Time Management
  topic: keywords
subject: Employee Performance
  topic: keywords
subject: Council
  topic: keywords
creator: Eyong Ako
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-05-19
publication date: 2025-05-19
starting page: 1
ending page: 12
doi: 10.47363/JESMR/2025(6)293

Determinants of Indian Fiscal Deficit in NARDL Model
type: item
description: 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.
subject: Articles
  topic: section
subject: Fiscal Deficit
  topic: keywords
subject: Gross Domestic Product Per Capita
  topic: keywords
subject: Inflation
  topic: keywords
subject: External Debt
  topic: keywords
subject: Rate of Unemployment
  topic: keywords
subject: Income Inequality
  topic: keywords
subject: Military Expenditure
  topic: keywords
subject: Non-linear Auto Regressive
  topic: keywords
subject: Distributed Lag
  topic: keywords
creator: Debesh Bhowmik
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-04-09
publication date: 2025-04-09
starting page: 1
ending page: 10
doi: 10.47363/JESMR/2025(6)289

Professional Relations, Trade Unionism, and Social Conflicts in Capitalism in the Democratic Republic of the Congo
type: item
description: 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.
subject: Articles
  topic: section
subject: Labor Relations
  topic: keywords
subject: Trade Unionism
  topic: keywords
subject: Social Conflicts
  topic: keywords
subject: Capitalism
  topic: keywords
subject: Democratic Re- Public of the Congo
  topic: keywords
creator: Freddy ASIANI MUBIALA
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-04-10
publication date: 2025-04-10
starting page: 1
ending page: 4
doi: 10.47363/JESMR/2025(6)284

The Algorithmic Doctor: Bridging The Transparency Gap in AI Driven Healthcare
type: item
description: 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.
subject: Articles
  topic: section
subject: Artificial Intelligence (AI)
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Transparency
  topic: keywords
subject: Explainable AI (XAI)
  topic: keywords
subject: Interpretability
  topic: keywords
subject: Algorithmic Bias
  topic: keywords
subject: Trust
  topic: keywords
subject: Patient Safety
  topic: keywords
subject: Ethical AI
  topic: keywords
subject: Medical Decision-Making
  topic: keywords
creator: Paraschos Maniatis
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-04-09
publication date: 2025-04-09
starting page: 1
ending page: 7
doi: 10.47363/JESMR/2025(6)290

Impact of Corporate Governance on Value Creation: Evidence from Tunisian Context Pre- and Post-Revolution
type: item
description: 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.
subject: Articles
  topic: section
subject: Corporate Governance
  topic: keywords
subject: Value Creation
  topic: keywords
subject: Partnership Value
  topic: keywords
subject: Shareholder Value
  topic: keywords
subject: Agency Theory
  topic: keywords
subject: Stewardship Theory
  topic: keywords
creator: Ibtissem Missaoui
creator: Djafferi Djamel
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-04-10
publication date: 2025-04-10
starting page: 1
ending page: 8
doi: 10.47363/JESMR/2025(6)282

Navigating Cash Call and Revenue Challenges in Nigeria’s Oil and GasSector: Strategic Implications, Economic Impacts, and Policy Lessons
type: item
description: 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.
subject: Articles
  topic: section
subject: Cash Calls
  topic: keywords
subject: Nigeria Oil and Gas
  topic: keywords
subject: Fiscal Regime
  topic: keywords
subject: Exploration & Production
  topic: keywords
subject: Funding
  topic: keywords
subject: and JVC
  topic: keywords
creator: Gbolahan S Osho
rights: Copyright (c) 2025 Journal of Economics & Management Research
date: 2025-04-24
publication date: 2025-04-24
starting page: 1
ending page: 8
doi: 10.47363/JESMR/2025(6)287