International Journal of Social and Educational Innovation (IJSEIro)

DIGITAL LIBRARY SERVICES AND USER BEHAVIOR IN NIGERIAN UNIVERSITIES: AN EXPECTATION-CONFIRMATION MODEL ANALYSIS

2025-10-07T05:39:31+03:00

This study investigates the behavioral factors influencing university students’ continued use of digital library services in Nigeria, applying the Expectation Confirmation Model (ECM) as the theoretical framework. A structural equation modeling approach was employed to test a conceptual model developed from ECM constructs, such as the perceived usefulness, confirmation, satisfaction, and continuance intention, augmented by system quality and perceived ease of use. Primary data were collected via an online survey distributed across multiple universities in Lagos State, Nigeria, using random sampling techniques. The empirical findings demonstrate that confirmation significantly affects both perceived usefulness and satisfaction, which in turn influence students’ intention to continue using digital library services. Additionally, system quality and perceived ease of use emerged as significant predictors of satisfaction. The study contributes to the literature on digital service adoption in developing contexts by offering evidence-based insights that inform the design, implementation, and policy surrounding academic digital infrastructures. Recommendations are provided for enhancing system quality, managing user expectations, and ensuring equitable digital access in higher education.

RESOURCE DEPENDENCE, INSTITUTIONAL QUALITY, AND ECONOMIC GROWTH DYNAMICS: A SYSTEM GMM ANALYSIS FOR SUB-SAHARAN AFRICA

2025-10-07T05:39:31+03:00

This study investigates the dynamic relationship between natural resource dependence, institutional quality, and economic growth in Sub-Saharan Africa (SSA) over the period 1990–2023. Using a dynamic panel data model estimated through System Generalized Method of Moments (System GMM), the analysis addresses endogeneity concerns while capturing the temporal persistence of growth. Results reveal that higher natural resource dependence, measured through natural resource rents and export-based proxies, significantly hampers GDP per capita growth, which is consistent with the resource curse hypothesis. However, strong institutional quality mitigates this negative effect, with institutional improvements emerging as a key enabler of sustainable growth. Additionally, gross capital formation, trade openness, and labor force participation positively influence growth dynamics. Sensitivity analyses and robustness checks confirm the stability of the results across alternative specifications and subsamples. Policy implications emphasize the need for institutional reforms, economic diversification, and regional trade integration to unlock SSA’s growth potential. The findings contribute to a nuanced understanding of how governance and structural factors condition the developmental outcomes of resource-rich economies in Africa.

PSYCHOEDUCATION, COMMUNICATION, AND HEALTH. THE PARTICULAR CASE OF NURSES AND EXPECTANT MOTHERS

2025-10-08T05:39:42+03:00

The present study aimed to evaluate the impact of an intervention to optimize communication motivation in a group of nurses and its effects on patients. The study also aimed to use an intervention to increase self-efficacy in two distinct categories of patients (women in their last trimester of pregnancy and women at risk of miscarriage). The data obtained confirm the importance of the intervention from the perspective of communication among nurses, but not from the perspective of significant changes in motivation (although increases are also recorded in its dimensions). Regarding the level of perceived self-efficacy in the two categories of patients, following the intervention, scores for the level of self-efficacy are recorded, but these are not significant increases. These differences highlight the profound impact of health status on self-confidence and highlight the need for personalized psychological interventions tailored to the specific needs of each group.

LOVE LEARNED EARLY: HOW CHILDHOOD SOCIAL SUPPORT CAPITAL INFLUENCES ROMANTIC LOVE

2025-10-08T05:39:42+03:00

Background of the Study: It is widely believed that love is a learned behavior, with the common assumption that children who experience love and support are more likely to develop healthy, loving relationships, while those exposed to abuse may continue cycles of abuse in their own partnerships. This study aims to investigate how social support experienced in childhood influences the capacity for marital love in adulthood, addressing the potential long-term impact of early social experiences on later relational dynamics.

Method: A total of 114 adults (mean age = 38.4, SD = 6.15) participated in the study. Respondents completed self-administered, individual self-reported questionnaires, standardized and distributed online via Google Forms. The data focused on assessing the relationship between the level of social support perceived during childhood and the dimensions of love in adult relationships, including emotional intimacy, commitment, and passion.

Results: As hypothesized, the results indicated a significant positive association between the social support felt during childhood and the ability to experience and express love in adulthood. Respondents who reported higher levels of childhood social support demonstrated stronger love dimensions in their adult relationships, suggesting that a nurturing early environment contributes to healthier relational outcomes later in life.

Conclusion: The findings of this study highlight the crucial role of childhood social support in shaping an individual’s capacity for love and emotional connection in adulthood. These results underscore the importance of early positive social experiences for the development of healthy, long-lasting marital relationships, providing valuable insights for interventions and strategies aimed at fostering emotional well-being from childhood through adulthood. results highlight the importance of addressing family conflict to mitigate its potential negative effects on child development.

UNDERSTANDING THE SECOND-LEVEL DIGITAL DIVIDE IN NIGERIA: A MULTIDIMENSIONAL ANALYSIS OF SOCIAL MEDIA ENGAGEMENT

2025-10-14T05:42:03+03:00

This study examines the second-level digital divide in Nigeria by exploring how socioeconomic, demographic, and personality factors influence patterns of social media engagement beyond mere access. Using regression analysis and descriptive statistics, the research uncovers complex relationships between age, gender, education, income, and personality traits with distinct types of social media use, including entertainment, social connection, informational, political, and utilitarian purposes. Notably, a “reverse divide” emerges where lower-income Nigerians engage more intensively in informational use than their higher-income counterparts, highlighting adaptive compensatory behaviors amid resource constraints. Findings reveal that digital inequality is a dynamic interplay of economic necessity, individual agency, and contextual factors, calling for nuanced digital inclusion policies that emphasize tailored literacy programs, gender-sensitive approaches, affordable access, and relevant content to foster inclusive economic empowerment in Nigeria.

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE MARKETING MIX: FROM PERSONALIZATION TO PREDICTIVE STRATEGY

2025-10-14T05:42:02+03:00

This paper explores the concept of the marketing mix and the need to adapt it to the dynamics of the digital environment, particularly the expansion of Artificial Intelligence (AI) technologies. The four classical components of marketing (price, product, place/distribution, and promotion) are analyzed, together with the debate between conservative/dogmatic and revisionist/iconoclastic perspectives on whether the traditional model requires structural change. The revisionists ground their argument in technological advances that have also reshaped business models. The study highlights the importance of coordination and compatibility among the elements of the mix and argues that AI provides the basis for a dynamic, performance-oriented approach. Marketing research and strategic planning remain essential for ensuring the sustainability of marketing decisions in an increasingly digital context.

POPULATION GROWTH AND ITS EFFECTS ON NATURAL RESOURCES IN SOUTH AFRICA

2025-10-16T05:43:38+03:00

The aim of the paper is to investigate how population growth affects natural resources in South Africa. The growth of the population affects natural resources because individuals require resources like land, food, and water for their survival. Therefore, as the population increases quickly, it places strain on the natural resources, resulting in a negative impact on them. It is reported that there are over 7.884 billion people in the world, and this number is projected to increase further. Countries such as South Africa, Botswana and Namibia experience rapid population growth due to the presence of illegal immigrants and a high birth rate. Therefore, the available resources cannot meet the needs of every individual in the nation. The paper suggests that population growth poses a threat to natural resources and must be managed before it becomes a critical issue leading to resource depletion in South Africa. This study is solely qualitative research that utilised a desktop-based approach, particularly PRISMA method to gather data on the effects of population growth on natural resources. The primary results of this paper show that the rising population in South Africa impacts natural resources due to a higher influx of illegal immigrants who also depend on these resources for their survival. The paper also reveals that even though there are methods of birth control available, they are not being effectively utilized by individuals to regulate birth rates. Hence, the conclusion of the paper is that the increased population growth has a negative effect on natural resources due to the unmanageable influx of immigrants in South Africa. This paper recommends that the South African government needs to effectively manage the presence of illegal immigrants within the country.

A SYSTEMATIC REVIEW AND META-ANALYSIS OF ACCOUNTING INFORMATION SYSTEMS ADOPTION EFFECTS ON FIRM PERFORMANCE

2025-10-17T05:43:40+03:00

Accounting Information Systems (AIS) have become integral to modern firms aiming to enhance financial and operational performance. This meta-analytic review synthesizes evidence from 52 empirical studies conducted between 2015 and 2025 to quantitatively assess the impact of AIS adoption on firm performance. Using standardized effect size computation and rigorous publication bias assessment, the study employs random-effects meta-regression to examine how AIS adoption, firm size, and regional context influence performance outcomes. Results reveal a significant positive effect of AIS adoption on firm performance (effect size d = 0.423, p < 0.001), with larger firms and those in developed regions experiencing greater benefits. Sensitivity and robustness analyses confirm the stability of these findings across model specifications and subgroups. These insights underscore the critical role of AIS as a strategic resource and highlight the need for tailored adoption strategies that consider firm and contextual factors. Policy recommendations emphasize digital infrastructure support, regulatory enhancements, and capacity building to facilitate broader and more effective AIS implementation, especially in developing economies.

INTEGRATION OF KNOWLEDGE FROM COMMERCIAL MARKETING INTO AI‑AUGMENTED POLITICAL MARKETING: ANALYTICAL FRAMEWORK AND LITERATURE SYNTHESIS

2025-11-04T16:16:43+02:00

This article synthesizes the literature on how techniques and capabilities developed in commercial marketing travel into AI‑augmented political marketing. We group evidence into three channels of transfer—direct adoption (e.g., micro‑segmentation, A/B testing, attribution modeling), adaptation under political constraints (compliance, transparency, content governance), and capability spillovers (data infrastructures and generative content pipelines). Using a scoping review across political communication, marketing, and information systems, we map: (1) the technical repertoire (targeting, recommendation, predictive modeling, generative systems), (2) organizational enablers (data governance, absorptive capacity, boundary‑spanning teams), and (3) outcomes and risks (effectiveness, measurement validity, bias, and normative implications). We find consistent evidence for capability diffusion but methodologically heterogeneous findings on persuasive impact and causal attribution. We propose a typology of transfer mechanisms and a research agenda prioritizing external validity, auditability, and cross‑jurisdictional comparisons. The contribution is integrative—bridging siloed strands—and programmatic, by outlining standards for transparency, reporting, and evaluation pertinent to AI‑enhanced political campaigns.

EXPLORING THE SCHOOL CULTURE AND VALUES OF SUSTAINABLE, SUCCESSFUL SECONDARY SCHOOLS

2025-11-06T16:17:03+02:00

In the wake of post-apartheid educational reforms, South African secondary schools continue to grapple with persistent challenges such as underperformance, resource limitations, and socio-economic disparities, particularly in historically disadvantaged communities. Despite these systemic issues, some schools exhibit resilience and sustained success, prompting inquiry into the cultural values and practices that underpin their effectiveness. This study aimed to explore the school culture and core values that contribute to the sustainability and long-term success of secondary schools. Guided by an interpretivist paradigm, a qualitative approach was employed using a generic qualitative design. Data were collected through purposive sampling and semi-structured interviews with key school stakeholders. Thematic analysis revealed several interrelated values and practices integral to school success, including discipline, strong school ethos, community involvement, collaborative planning, teamwork, positive role modelling, monitoring and evaluation, and effective communication. These elements collectively foster a resilient school culture that promotes academic performance, teacher morale, learner wellbeing, and institutional longevity. Based on these findings, the study recommends fostering a values-driven and collaborative school culture, strengthening community engagement, promoting inclusive planning and monitoring practices, and encouraging effective communication and role modelling. The study concludes that sustainable secondary schools are built on intentional cultural practices that enable adaptability, cohesion, and long-term growth, ultimately producing not only academically successful learners but socially responsible citizens.

FINANCIAL DEVELOPMENT, GOVERNMENT FUNDING AND INFRASTRUCTURAL DEVELOPMENT IN SOUTH AFRICA

2025-11-11T16:19:18+02:00

The purpose of this paper is to identify the driving elements of the South African financial sector. While South Africa’s financial sector appears robust, there exists a dearth of empirical research investigating the determinants of its development. Thus, this work assesses how two critical factors: Infrastructure development, and government funding levels affect financial development (FD) in South Africa using annual data from 1990 to 2024. Preliminary findings show that the series are integrated, and they are cointegrated. Results from regression analysis suggest that the government funding exerts a positive and statistically significant influence on financial development across most indicators. Conversely, advanced infrastructure development, government funding and openness to trade are associated with a more developed financial sector. The implications of these findings are essential for policymakers and stakeholders in understanding the factors that drive financial development in South Africa. The study recommends that, among others, policymakers should prioritize investments in both physical and digital infrastructure, particularly in telecommunications.

THE IMPACT OF NIGERIA’S CASHLESS POLICY ON BANKING SECTOR TRANSFORMATION AND ECONOMIC DEVELOPMENT

2025-11-12T16:19:27+02:00

This study investigates the impact of the Central Bank of Nigeria’s cashless policy on the development of the banking sector, with particular emphasis on transaction volumes and costs, financial inclusion, reduction of financial crimes, and customer satisfaction. Drawing on survey data from 200 banking customers across Nigeria and employing regression analysis, the findings reveal that the cashless policy has significantly increased the volume of digital transactions while reducing costs, thereby improving efficiency. It has also broadened access to financial services, particularly for previously underserved populations, and contributed to enhanced trust and inclusion in the formal financial system. Furthermore, the adoption of digital transactions has deterred traditional cash-related crimes by enhancing traceability, although risks of cyber fraud remain. Importantly, the study finds that customer satisfaction and service delivery have improved as banks adapted to digital reforms, reflecting progress toward a more responsive and efficient banking system. The results underscore the need for complementary investments in digital infrastructure, cybersecurity frameworks, and financial literacy programs to ensure the sustainability of cashless reforms and their inclusive contribution to Nigeria’s economic development.

FACTORS INFLUENCING THE ADOPTION OF SITUATIONAL LEADERSHIP FOR LEARNER ENGAGEMENT BY SCHOOL MANAGEMENT TEAM MEMBERS IN SPECIAL SCHOOLS

2025-11-13T16:19:52+02:00

Learner engagement is widely acknowledged as a foundation for academic achievement, inclusion, and holistic development. While situational leadership has been extensively studied in mainstream education, little is known about its application in special schools where learner engagement is often challenged by diverse disabilities, cultural dynamics, and emotional needs. This study aimed to explore the factors influencing the adoption of situational leadership by School Management Team (SMT) members in special schools, with a focus on how such practices enhance learner engagement. Guided by the interpretivist paradigm, a qualitative approach and generic design were adopted. Data were collected through semi-structured face-to-face and virtual interviews with 12 purposively selected participants, comprising principals, deputy principals, and departmental heads from three diverse special schools. Data were analysed thematically using Braun and Clarke’s six-phase framework. Findings revealed that learner diversity, individual learning needs, cultural accommodation, empathy, emotional and behavioural awareness, and family contexts were central to shaping how SMT members adopted situational leadership. Leaders shifted flexibly between directive, supportive, coaching, and delegating styles to respond to learners’ unique readiness and circumstances. The study recommends strengthening professional development on situational leadership, leveraging Individualised Education Plans as leadership tools, fostering inclusive school–family partnerships, and promoting inclusive school cultures. The study concludes that situational leadership provides SMT members with a critical framework for building responsive, inclusive, and learner-centred environments in special schools. Investing in adaptive leadership development is essential to ensuring that no learner is left behind.

BRIDGING THE PERFORMANCE GAP IN EXASCALE ARCHITECTURES: MONTE CARLO APPROACHES TO HIGH-DIMENSIONAL PROBLEMS

2025-11-14T16:19:56+02:00

The paper uses Monte Carlo algorithms applications to solve large-scale and sparse linear systems that have a significant spectrum of application in the modern field of computation science. Monte Carlo techniques can be used to compute accurate approximations by building up the expected value as the trajectory of random walks and the techniques naturally lend themselves to parallel computation by splitting the trajectory among several processors. The necessity of scalable and memory and parallelism numerical approaches has become obvious as the high-performance and exascale computing architectures develop to a new level. The Neumann-Ulam stochastic methods may indeed offer a valid alternative to the traditional solvers, including direct and iterative ones. This research article uses Python-program-based applications to analyse the speed of computation on the systems of varying size (n = 100, 500 and 1000). The data indicates that the method would perform comparable in terms of accuracy with the more expensive standard direct solvers and that the absolute error can be reduced with the number of samples used. The algorithm has good scaling properties suggesting that it possibly can be efficient in running large-scale scientific and engineering tasks. The results support the general agenda of introducing probabilistic numerical approaches into the computational pipelines, especially in the context of cases where memory restrictions or heavy needs of parallelization are essential factors.

BIG DATA AS A SERVICE IN THE DIGITAL ECONOMY: A STRUCTURAL MODEL OF ADOPTION, CAPABILITIES, AND PERFORMANCE

2025-11-15T16:19:57+02:00

This study explores the determinants and performance implications of Big Data as a Service (BDaaS) adoption through an integrated theoretical lens, combining the Technology–Organization–Environment (TOE) framework, Diffusion of Innovation (DOI), Socio-Technical Systems (STS), and the Resource-Based View (RBV). Drawing on a theory-driven model, the research tests a set of hypotheses using structural equation modeling on firm-level data. The findings indicate that technological readiness, organizational capacity, and environmental pressures significantly influence BDaaS adoption. Moreover, the perceived relative advantage and compatibility of BDaaS are strong predictors of adoption decisions. Implementation success is shown to enhance advanced analytics capabilities, which in turn mediate the effect on organizational performance. Importantly, privacy and compliance concerns moderate the relationship between implementation and success, underscoring the relevance of data governance in digital transformation. This study contributes to both academic and practical understanding of how firms can leverage BDaaS for sustained competitive advantage in data-intensive environments.

INSTITUTIONALIZATION OF CRYPTOCURRENCY MARKETS: HOW REGULATORY ANNOUNCEMENTS, FORKS, AND FUTURES TRADING SHAPE BITCOIN’S PRICE BEHAVIOUR

2025-11-17T16:21:31+02:00

This study investigates the effects of legal regulation, rule changes, and regulated trading instruments on Bitcoin’s price dynamics and volatility over the period 2013–2022. Using daily time-series data from major cryptocurrency exchanges and financial databases, the study employs a Vector Error Correction Model (VECM) models to capture both short- and long-run relationships under different market regimes. Empirical results reveal that regulatory announcements in the United States and Japan significantly influence Bitcoin’s price and volatility, indicating that legal recognition and enforcement mechanisms enhance investor confidence. In contrast, rule-change events such as hard forks and halving demonstrate asymmetric effects, initially increasing volatility before stabilizing over time. The introduction of Bitcoin futures and options strengthens market maturity and institutional participation but also introduces speculative dynamics, especially during high-volatility periods. The findings underscore the dual nature of regulation: while it promotes market legitimacy and long-term stability, it can simultaneously induce short-term uncertainty and price corrections. Policy implications highlight the necessity of a coordinated global regulatory framework that balances innovation with investor protection, while future research should explore algorithmic trading behaviors, DeFi spillovers, and cross-asset contagion effects in cryptocurrency markets.