International Journal of Social and Educational Innovation (IJSEIro)

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

Adedeji Daniel GBADEBO — 2025-09-01

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

Emmanuel Imuede OYASOR — 2025-09-27

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

Roxana MAIER — 2025-10-01

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

Marius MARICI — 2025-10-01

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

Adedeji Daniel GBADEBO — 2025-10-01

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

Horia MIHĂLCESCU — 2025-10-01

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.