Management (Montevideo) (Journal)
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Forensic Marketing and Organizational Effectiveness: Does it Matter for the Nigerian Banking Industry?
Get PDFPurpose: This insightful research developed into a forensic marketing and organisational effectiveness nexus. Specifically, forensic marketing was disaggregated into data-based marketing and marketing intelligence, while organisational effectiveness was measured by.Method: Eighty-four (84) bank executives of listed commercial banks were sampled using a well-structured questionnaire, while the Pearson Product Moment correlation (PPM) coefficient was used to analyse the data sourced.Result: Data-based marketing is positively and significantly related to organisational effectiveness (r=0.507, p<0.05). Also, marketing intelligence improves organisational effectiveness significantly (r=0.788, p<0.05).Conclusion: Forensic marketing (data-based marketing and marketing intelligence) are strategic tools for achieving organisational effectiveness.Recommendations: Bank executives are advised to place more attention on forensic marketing as it helps to reduce financial irregularities. Also, there is a need for Nigerian banks to invest more funds in data infrastructure and continuous training of bank utility staff in data analytics and, at the same time, integrate market intelligence into their strategic decision-making process.Originality/Contribution: The research is unique in positioning forensic marketing as both a fraud-mitigating and performance-inducing strategy. Also, the research offers an in-depth understanding of how data-driven marketing and marketing intelligence can serve not only as a tool for improving organisational performance but also as an efficient tool for reducing financial misconduct and organisational inefficiency. Lastly, the research originality centres on expanding the strategic scope of marketing beyond traditional promotional functions to cover a wider performance and risk management model
A Study of Housing Price Drivers in China\u27s New First-Tier Cities
No full textOver the past two decades, urban housing prices in China have surged dramatically, prompting extensive research into the underlying causes. Despite scholarly efforts, a comprehensive analysis of the factors influencing housing prices in newly-designated first-tier cities remains elusive. This study aims to bridge this gap by examining a range of determinants impacting housing prices within these rapidly growing urban areas.Utilizing a detailed conceptual framework, the research identifies key influences such as financial expectations, market demand, and the availability of public services. The findings suggest that these factors play a substantial role in driving housing prices upwards, reflecting the rising purchasing power and urbanization trends in these cities. Interestingly, the study also highlights that limited land supply—often considered a primary driver of housing costs—does not significantly impact pricing in the context of new first-tier regions.This analysis underscores the complexity of the housing market dynamics in China, suggesting that policymakers should consider a broader range of influencing factors when addressing housing affordability and stability in these burgeoning urban centers. As a result, the study contributes valuable insights for stakeholders aiming to better understand and navigate the challenges of housing prices in China\u27s evolving urban landscape
Management Approaches in the Tourism Sector in the Hospitality Industry Through the Prism of Adaptive and Innovative Approaches
Get PDFIntroduction: The syncretisation of differentiated managerial paradigms – ranging from classical dispositions to systemic and situational approaches – predetermines the capacity of hospitality enterprises to manoeuvre effectively within a turbulently evolving market landscape, ensuring a heightened degree of reactive adaptability to exogenous challenges of diverse provenance and intensity. The institutionalisation of adaptation strategies within this context emerges as an imperative component of an antifragile operational framework for entities within the hospitality sector, wherein intensive technological transformation and the dynamic evolution of consumer preferences continuously modify dominant managerial practices. Innovation-driven trajectories in the hospitality domain are reflective not only of the specific exigencies of target clientele and their solvency levels but also of the relativised parameters of market conjuncture, collectively underscoring the exigency of a polyphonic, multiparadigmatic discourse for the optimisation of adaptive matrices and the formation of viable innovation clusters.Objective: The principal aim of this investigation is summarizing patterns of efficacy inherent in the utilisation of a multiparadigmatic methodology of business management within the hospitality sphere, with an emphasis on the construction of sustainable adaptive mechanisms for enterprises confronting the exigencies of a postmodern operational environment. In parallel, the study seeks to identify adaptive strategies and innovative constructs capable of enhancing competitiveness, transforming operational processes, and meeting the evolving demands of consumers.Methods: The methodological apparatus employed encompasses a synthetic amalgamation of comparative analysis, systematisation, generalisation of empirical data, and structured surveying.Results: The analysis of survey data substantiates that the segmental structure of the hospitality market exhibits a pronounced predisposition toward autonomous hotel units, which constitute 80% of the total sample, whereas motels comprise 10% (122 entities), national hotel chains 5% (61 entities), hostels 4% (49 entities), and international hotel chains a mere 1% (12 entities). The implicit dominance of the classical management paradigm – employed by 512 establishments – attests to a deeply entrenched institutional inertia within prevailing governance models. Simultaneously, it has been identified that 39.6% of independent hotels articulate a high degree of decision-making flexibility, serving as an indicator of their latent adaptive potential. The principal impediments to the implementation of a multiparadigmatic approach are identified as resistance to organisational transformation (39.4% in independent hotels) and the complexity of integrating conceptually disparate managerial doctrines (39.3% in motels and 34.5% in hostels). Notably, in the category of international hotel chains, the capacity for rapid responsiveness to environmental fluctuations is defined as the key vector of adaptation (59.8%), a figure that resonates with similar tendencies among independent hotels (49.5%).Conclusions: The analysis of innovation drivers reveals that intensifying competitive pressures, shifts in consumer behaviour, and aspirations for revenue augmentation serve as the predominant motivational determinants, with such factors being most acutely actualised in international hotel chains. Concurrently, it has been established that hostels and motels face greater impediments arising from constrained resource endowments and insufficient qualification levels among personnel.
Moral Principles in Finance: Challenges and Risks in the Context of Contemporary Commerce
Get PDFIntroduction: The study is based on an empirical study of the importance of ethics in accounting as an important element of ensuring the transparency of financial reporting and trust in economic systems. In the modern business environment, accounting professionals face a number of challenges and threats, including: conflict of interest, managerial pressure, the use of aggressive tax schemes, distortion of financial reporting, manipulation of financial data, challenges of digital transformation.Methods: This empirically based study summarizes scientific, theoretical, and practical approaches to defining the role of accounting ethics in the business environment.Results: The main standards of ethical responsibility according to the Code of Ethics for Professional Accountants (IESBA) and the key factors of ethical violations that cause global financial scandals are identified. The ethical principles of global accounting practice and the features of the application of international standards in the USA, Germany, Australia, Canada and Japan are considered. A comparative analysis of tax evasion in 2024 showed that economically developed regions have higher rates than underdeveloped ones. The importance of corporate culture and the transfer of innovations in the formation of accounting ethics is emphasized. Unethical practices undermine the image of companies and deter investment.Conclusions: Key areas for developing universal ethical standards for accountants in a global context have been identified. Adherence to ethics, use of control, audit, and innovation in a competitive environment are factors of successful business, strengthening trust, transparency, and integrity of financial information
An Exploration of the Influencing Factors of Virtual Influencers on Consumers\u27 Purchase Intentions
Get PDFIntroduction: In the developing landscape of digital marketing, virtual influencers’ (VIs) computer-generated features powered by artificial intelligence (AI) are reshaping the way brands connect with consumers. As these digital personas gain traction on social media platforms, their potential to influence consumer behavior, particularly purchase intention (PI), is becoming increasingly relevant. Despite their growing popularity, there remains limited empirical research on the factors that drive consumer responses to VIs. Objective: This research explores the key attributes of Vis such as credibility, informative value (IV), human-likeness (HL), attractiveness, and entertainment value that influence consumer engagement (CE), and PI.Method: Using a structured questionnaire, data were collected from 523 social media users who had prior exposure to VIs. The data was examined using a structural equation model (SEM) and statistical methods, including Reliability analysis, Descriptive statistics, and Confirmatory Factor Analysis (CFA). Result: The results from the SEM revealed that perceived credibility (PC) (β = 0.41, p< 0.001) had the strongest positive impact on CE, which significantly influenced PI. IV and HL also positively contributed to engagement. While attractiveness and entertainment value (A&EV) significantly affected consumer engagement, they had no direct effect on PI. Conclusion: This research enriches AI-driven influencer marketing literature by providing theoretical insights and actionable implications, guiding brands toward evidence-based strategies. It establishes a foundation for leveraging VIs more effectively in modern, data-informed marketing and CE campaigns
Modeling and Forecasting Stock Closing Prices: A case study of L’Oreal listed on the French stock exchange
Get PDFIntroduction: Financial forecasting has long sought to model stock price dynamics through statistical and econometric approaches. This study focuses on predicting L\u27Oréal’s daily stock closing prices using a linear regression framework, grounded in the assumption that fundamental market indicators can effectively capture short-term price variations.Objective: The aim is to evaluate the predictive capacity of a multivariate linear regression model based on fundamental variables—Open, High, Low prices, and trading Volume—over a 25-year historical dataset.Method: Daily OHLCV data from 2000 to 2025 were obtained from Yahoo Finance. The dataset was divided into training (80 %) and testing (20 %) subsets. Model performance was evaluated using Mean Squared Error (MSE = 1,238) and the coefficient of determination (R² = 0,9987). Market regime shifts, such as the 2008 and 2020 financial crises, were included to assess model robustness.Results: The model achieved high predictive accuracy with a Mean Absolute Percentage Error (MAPE = 0,55 %). Among predictors, High and Low prices were the most influential (β = 0,845 and 0,723, respectively), while Volume showed no statistical significance (p > 0,05). Residual analysis revealed minor deviations from normality but no signs of autocorrelation.Conclusions: The results demonstrate that linear regression remains a valid and interpretable method for forecasting blue-chip stock prices. The model’s precision suggests potential for integration into algorithmic trading systems. However, incorporating volatility-based adjustments is recommended to enhance stability during market turbulence. Future studies could compare linear and nonlinear models across sectors to assess generalizability
Public Administration in the Context of Global Challenges
Get PDFIntroduction: the study explored Ukraine’s public administration within the context of global challenges, focusing on war, digitalisation, migration, and economic instability. The objective was to assess the effectiveness of governance strategies and identify systemic issues requiring reform.Method: a descriptive design was applied using content analysis, comparison, and synthesis. Literature was selected through the PRISMA method, resulting in 54 sources published between 2018 and 2024. Data were coded and categorised using Microsoft Excel, enabling structured interpretation and cross-comparison.Results: the findings revealed superficial integration of socio-economic sectors, insufficient legal adaptation, and weak crisis response mechanisms. Public administration expenditures were inefficient, with over 50 % allocated to salaries and operational costs. Although digital tools like Diia enhanced service delivery, challenges persisted in cybersecurity and trust. Key recommendations included eliminating functional duplication, implementing project-based budgeting, and strengthening civil society engagement.Conclusions: Ukrainian public administration demonstrated partial adaptability but remained vulnerable to complex internal and external pressures. Strategic reforms, digital innovation, and international experience exchange were deemed essential for improving resilience and transparency. The study highlighted the need for systemic, integrated approaches to sustain effective governance in a continuously evolving global environment.
Digital transformation and financial education in post-pandemic higher education: A systematic review
Get PDFIntroduction: Financial education, intertwined with digital literacy, plays a crucial role in promoting financial resilience and inclusion. However, challenges such as low digital financial literacy and regional disparities persist. Objective: This systematic review aims to analyze the strategies implemented by universities worldwide to integrate digital transformation into financial education, focusing on its impact on vulnerable student populations. Methods: The study followed the PRISMA guidelines for systematic reviews. A comprehensive search was conducted in Scopus using Boolean operators to identify relevant empirical studies and systematic reviews published between 2020 and 2024. Out of 359 initial articles, 15 met the inclusion criteria after a rigorous screening process. Thematic synthesis and quality assessment were performed using ATLAS.ti and the MERSQI tool. Results: The findings highlight that digital transformation enhances financial literacy and inclusion, particularly through tools like fintech and biometric systems. However, disparities exist, with rural and low-income students facing greater challenges. Studies from BRICS countries and China demonstrated the potential of digital finance to reduce income gaps, while research in Mexico and Poland revealed barriers such as self-exclusion and digital fatigue. Conclusions: Digital financial literacy is essential for modern higher education, requiring curricular integration and institutional cultural shifts
The Impact of Political Risks on the Effectiveness of Public Policy
Get PDFPublic policy is one of the areas for regulating socio-economic, cultural, and environmental challenges that affect citizens\u27 quality of life. The article aims to study the impact of political risks on the effectiveness of public policy in Ukraine. To achieve this goal, the authors examines the state of research on the problems of modern public policy and the political risks Ukraine faces. OpenAlex, Scopus, and Google Scholar databases were used to collect literature. 5,756 results were obtained by keywords. After removing 1,876 duplicates, screening, and thematic analysis, another 2,805 sources were rejected. 1,075 remained, which were evaluated according to the following criteria: topic, connection with the Ukrainian context, presence of challenges, language (English), date (from 2016), and methodology. As a result, 54 sources were included in the analysis. The VosViewer software was used to process the literature available in the OpenAlex database for the systematic literature analysis. The results emphasise that systemic corruption in public authorities is a significant risk. The high expropriation risk, which primarily concerns sanctioned assets, is also noted. High political violence risks were also reported, indicating instability that could escalate into internal conflicts or other political confrontations. Security risks are relatively moderate and inferior to public risks associated with economic processes. The conclusions summarise that the studied indicators demonstrate a high level of political and financial risks, which generally harm the conduct of public policy in Ukraine. An exceptionally high level of political violence and default threat may lead to governmental instability and problems implementing long-term political strategies
Trade Opportunities between Argentina and Uruguay: Identification of Strategic Sectors Based on Export Indicators (2022–2024)
Get PDFIntroduction: the trade relationship between Argentina and Uruguay, marked by productive complementarities and structural asymmetries, provides a favorable context for identifying strategic sectors that can strengthen Argentina’s regional export insertion. Geographical proximity, institutional ties within MERCOSUR, and longstanding economic connections reinforce the need for indicator-based analysis.Objective: this study aims to identify the strategic sectors with the greatest potential for Argentina’s commercial insertion into the Uruguayan market during the 2022–2024 period. Based on a quantitative analysis using foreign trade indicators, the objective is to provide empirical evidence to guide both public policy and business decision-making, with the goal of strengthening regional integration, diversifying Argentina’s export supply, and enhancing its competitive positioning within the framework of MERCOSUR.Methods: a quantitative and comparative methodology was applied using official foreign trade data for the period 2022–2024. The analysis focused on the 37 main tariff lines exported by Argentina to Uruguay, classified according to the MERCOSUR Common Nomenclature (at the 8-digit level), using four indicators: Herfindahl-Hirschman Index, Grubel-Lloyd Index, Trade Overlap Index, and the Symmetric Revealed Comparative Advantage Index. Additionally, the Trade Intensity Index and the Bilateral Trade Complementarity Index were calculated to contextualize the structural dynamics.Results: findings confirm a predominantly inter-industry trade pattern, with moderate concentration and low structural overlap, revealing structural advantages for Argentina’s export supply. Pet food was identified as a strategic sector due to its high revealed comparative advantage, limited domestic competition in Uruguay, and direct access to consumers. The analysis also showed exceptionally high bilateral trade intensity and moderate structural complementarity between the two economies.Conclusions: the methodological approach proved effective in detecting export opportunities based on quantitative indicators. The findings provide evidence to support targeted trade promotion policies and offer a replicable framework for assessing strategic sectors in other regional markets