The study is anchored in Diffusion of Innovations theory, the classic framework developed to explain how new ideas and technologies spread through social systems. Rather than treating adoption as a purely individual decision, the authors extend the theory to the institutional level, asking how organisational learning and sustainable leadership condition the uptake of AI learning tools, technology-enhanced pedagogy, and digital literacy practices. This is a notable theoretical move. Most diffusion research focuses on the adopter, but in universities the environment in which students and staff encounter innovation is deliberately constructed by leaders who allocate resources, set priorities, and model behaviour over long time horizons.

Sustainable leadership, in this context, refers to a style of educational management that goes beyond short-term project wins. Drawing on a growing body of literature, the authors frame it as leadership that protects and renews the human, financial, and knowledge resources of an institution so that improvements endure after the champions of a reform move on. In practice, that means sustained investment in continuous professional development, knowledge-sharing mechanisms between staff, and organisational learning routines that convert individual expertise into collective capability. The study’s central claim is that these practices are significantly associated with higher levels of student engagement when learning moves into smart, technology-rich environments.

The numbers behind that claim are striking. Using partial least squares structural equation modelling, the researchers found that sustainable leadership was significantly associated with student engagement, with a path coefficient of 0.405 and a p-value below 0.001, indicating a relationship very unlikely to be due to chance. Even more telling is the explanatory power of the overall model. The constructs in the study accounted for 51.2 percent of the variance in sustainable leadership and 65.4 percent of the variance in student engagement. In social science research, where models explaining a quarter of the variance are often considered respectable, an R-squared of 0.654 for engagement is unusually high and suggests that the framework captures much of what drives students’ involvement in digitally transformed courses.

Yet the study also delivers a sobering result on the equity front. The authors hypothesised that gender inclusion would moderate the relationship between sustainable leadership and student engagement, amplifying the benefits of good leadership for students of all genders. The data did not support this. The moderation effect was not statistically significant, with a coefficient of 0.056 and a p-value of 0.136. In plain terms, gender inclusion, at least as measured in this study, did not change the strength of the link between leadership and engagement. The finding does not mean gender equity is irrelevant; rather, it suggests that the mechanisms connecting leadership to engagement may operate similarly across genders, or that inclusion initiatives have not yet matured to the point where they alter the engagement equation.

That null result sits within a broader and sometimes uncomfortable literature on gender in higher education. Recent scholarship has documented persistent digital gender gaps in knowledge, attitudes, and skills across dozens of countries, alongside well-documented resistance to gender mainstreaming policies in universities. Studies of gender equality plans have described how power dynamics and institutional logics can hollow out well-intentioned reforms, a phenomenon some researchers have labelled genderwashing in leadership. Against this backdrop, the finding that gender inclusion did not significantly moderate engagement outcomes invites a careful reading: formal inclusion commitments may be necessary but not sufficient, and their effects may be indirect, working through the leadership and organisational learning conditions that the study identifies as central.

The methodological approach deserves attention for readers wondering how such conclusions are reached. A structured questionnaire was distributed to students and lecturers, and the responses were processed in two complementary tools: SPSS for conventional statistical analysis and SmartPLS for partial least squares structural equation modelling, a technique well suited to testing relationships among latent constructs such as leadership, engagement, and digital literacy that cannot be observed directly. The authors report that participants gave informed consent, that data were anonymised, and that the study received ethics approval from Universiti Kuala Lumpur in accordance with the Declaration of Helsinki. The quantitative data are not publicly available but can be requested from the corresponding author.

What elevates the study beyond a single institutional snapshot is the breadth of the framework it assembles. The authors integrate AI learning innovation, technology-enhanced pedagogy, educator competency, digital literacy, and student adaptability within a single model, and they position organisational learning and sustainable leadership as the institutional engines of digital transformation. This integration matters because these elements are usually studied in isolation. Educator competency research tends to focus on training; adaptability research tends to focus on student psychology; AI adoption studies tend to focus on the technology. By linking them, the study implies that engagement in smart learning environments is a systemic property: capable, digitally literate educators and adaptable students thrive when leadership sustains the conditions for both.

The practical implications for university leaders are concrete. The authors argue that institutions should strengthen sustainable leadership and organisational learning practices to support the effective integration of digital technologies. That translates into leadership support for staff experimenting with AI educational tools, formal knowledge-sharing mechanisms so that successful teaching innovations spread beyond a single classroom, and continuous professional development that keeps educator competency ahead of the technology curve. The emphasis on durability is deliberate: a pilot project that collapses when its sponsor leaves, or an AI platform adopted without training, fails precisely because the surrounding leadership system was not built to sustain it.

For the wider debate about equity and innovation in higher education, the study offers a nuanced message. Innovation adoption in universities is not a race to buy the newest tools; it is a diffusion process whose speed and fairness depend on institutional structures. Sustainable leadership emerges as the strongest lever for student engagement, while gender inclusion requires deeper embedding than policy statements alone can achieve. As universities continue their digital transformation, the research suggests that the smartest investment may not be in smarter technology but in the leadership and learning cultures that determine whether that technology actually reaches, and engages, every student.

Subject of Research: Sustainable leadership, gender inclusion, and student engagement in technology-enhanced higher education

Article Title: Bridging equity and innovation: Sustainable leadership and gender inclusion in smart learning environments

Article References: Tezerjany, S. F. K., & Mason, C. (2026). Bridging equity and innovation: Sustainable leadership and gender inclusion in smart learning environments. SN Social Sciences, 6(10), Article 477. https://doi.org/10.1007/s43545-026-01726-9

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01726-9

Keywords: sustainable leadership, gender inclusion, smart learning environments, student engagement, higher education, digital transformation, Diffusion of Innovations theory, organisational learning, PLS-SEM, AI educational tools, digital literacy, educator competency

The research arrives at a moment when employee well-being has moved from the periphery of business scholarship to its center. Across the globe, scholars, administrators, and policymakers are paying closer attention to how workers feel, and for a pragmatic reason. As the study’s authors note, employees represent the vehicle through which enterprise goals are attained. When staff in universities, hospitals, firms, or government agencies are exhausted, insecure, or undervalued, organizational performance inevitably suffers. In academic settings, where lecturers and administrative staff carry heavy teaching loads, research expectations, and institutional service duties, the stakes of well-being are particularly high, because the quality of education delivered to students depends directly on the condition of the workforce that provides it.

At the heart of the study sits the concept of decent work, a framework with roots in international labor discourse that captures whether employment offers fair income, security in the workplace, social protection, opportunities for personal development, and the freedom to express concerns and organize. Decent work is not merely about pay. It is a multidimensional construct that measures whether a job treats people with dignity, whether conditions are safe, whether hours are reasonable, and whether workers see a future in what they do. In the Nigerian public university context, where funding pressures, staffing shortfalls, and industrial disputes have periodically disrupted academic life, assessing how decent work relates to the psychological state of employees carries clear practical significance.

The second key concept, sustainable leadership, describes a style of management that looks beyond short-term results. Sustainable leaders are expected to protect and renew their organizations over the long run, developing people, preserving institutional knowledge, acting ethically, and considering the broader social and environmental consequences of decisions. In recent years, an expanding literature has suggested that sustainable leadership can buffer employees against stress, strengthen engagement, and create conditions in which well-being flourishes. The Nigerian research team set out to test whether this popular claim holds in their setting: does sustainable leadership moderate, meaning strengthen or weaken, the statistical relationship between decent work and employee well-being?

To answer that question, the researchers adopted a positivist research philosophy, which in practice meant a deductive design: hypotheses were formulated in advance, and structured questionnaires were used to gather standardized data from a large sample of respondents. The research population comprised 7,962 employees drawn from eight public universities across the South-South and South-East geopolitical regions of Nigeria. Using Taro Yamane’s formula, a widely applied statistical method for determining sample size from a known finite population at a specified confidence level, the team calculated a required sample of 381 participants.

Sampling design matters enormously in studies of this kind, and the researchers chose a systematic sampling technique, selecting respondents at fixed intervals from an ordered list. This approach served two purposes. First, it ensured that enough academic departments were covered within each university, giving the sample breadth across disciplines and job roles. Second, it minimized bias in the distribution of respondents, reducing the risk that the results would overrepresent a single faculty, cadre, or institutional culture. Data analysis was carried out with two complementary software platforms: SPSS version 25.0 for descriptive and classical statistical procedures, and SmartPLS 4.1, a specialized package for structural equation modeling using partial least squares, which is well suited to testing how multiple constructs relate to one another and whether an interaction effect, such as moderation, is statistically significant.

The results were clear on the first question and sobering on the second. The analysis revealed that decent work has a significant relationship with employee well-being in the studied universities. In other words, when employees perceive their work as fair, secure, protective, and developmental, their self-reported well-being rises. This finding aligns with a broad body of occupational health psychology suggesting that the structural features of a job, not only individual dispositions, shape how workers feel. It also carries a direct implication for university administrators and Nigerian policymakers: investing in the tangible quality of employment, from fair remuneration to safe conditions and career development, is a measurable lever for improving the lives of academic staff.

The second finding, however, cuts against expectations. Sustainable leadership did not play any significant moderating role in the relationship between decent work and employee well-being. Statistically, this means that the strength of the link between good working conditions and well-being did not depend on how sustainably employees perceived their leaders to behave. Good work predicted well-being regardless of leadership style, and the presumed amplifying effect of sustainable leadership was absent. For the authors, this result is a caution against treating leadership variables as universal enhancers of every positive workplace relationship, and it suggests that in resource-constrained public institutions, the material and structural realities of employment may simply outweigh stylistic differences in how managers lead.

The study is, by its authors’ account, the first to investigate the relationship between decent work and employee well-being with sustainable leadership as a moderating variable in Nigerian public universities, which gives the null finding particular value. Negative and null results are underreported in management research, yet they are essential for correcting theoretical overreach. If sustainable leadership cannot strengthen the well-being effects of decent work in one large, carefully sampled public-sector context, researchers elsewhere should be prompted to test the boundary conditions of moderation models rather than assume they generalize across cultures, sectors, and economic circumstances. Replication in other regions of Nigeria and in other national settings would help determine whether the pattern is context-specific or more general.

The work was approved by the Research and Ethics Committee of the Department of Business Administration at Alex Ekwueme Federal University, Ndufu-Alike, under protocol number DBA-ERC000138, and conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki, with informed consent obtained from all participants. The authors declare no competing interests and received no external funding. Published open access, the study invites scrutiny and reuse under a Creative Commons license. Its message for organizations is ultimately constructive: the surest path to a healthier workforce may run not through the personality or philosophy of leaders, but through the concrete, measurable decency of the jobs people are asked to do every day.

Subject of Research: The relationship between decent work, sustainable leadership, and employee well-being in Nigerian public universities

Article Title: Moderating role of sustainable leadership in the relationship between decent work and employee well-being of selected public universities in southern Nigeria

Article References: Neji, D. O., Edeh, F. O., Sam, T. H., Egwu, K. C., Lim, T. Y., Heng, C. H., Zayed, N. M., Ikpor, I. M., & Okwu, P. I. (2026). Moderating role of sustainable leadership in the relationship between decent work and employee well-being of selected public universities in southern Nigeria. Discover Psychology. https://doi.org/10.1007/s44202-026-00861-x

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00861-x

Keywords: decent work, employee well-being, sustainable leadership, public universities, Nigeria, organizational psychology, structural equation modeling, academic staff, human resource management, workplace well-being, leadership studies, occupational health