International Journal of Management and Sustainability Practices

Sustainable facility management (FM) is one of the important thing for higher education institutions (HEIs), particularly in South Africa, because of aging infrastructure, constrained budgets, and deferred maintenance continue to affect the service delivery in a required way. To address the issue, the present study has developed a predictive model for sustainable FM using one of the mu ltivariate technique named multiple linear regression, by collecting the data from 326 participants across five campuses of the Tshwane University of Technology. A self-structured questionnaire was prepared and utilized to collect the responses on FM practices, which were later analyzed using various statistical techniques such as exploratory factor analysis (EFA), Pearson correlation, and multiple linear regression (MRA). With the help of Exploratory Factor Analysis (EFA), six valid construct were confirmed, namel y Strategies Used in Facility Management, Lean Six Sigma (LSS), Root Causes of Poor Facility Management, Facility Defaults, Factors Contributing to Poor Fa cility Management, and the Sustainable Facility Management Scheme. The regression model was found to be statistically significant with F- Statistic =29.247 & p-value<0.001 and accounted for 31.6% of the variation in sustainability outcomes. Strategies used in FM and LSS had positive effects on sustainability, whereas facility defaults, root causes, and poor management factors exerted significant negative influences showing inverse relationship with sustainability outcomes. The findings of the study highlights the importance of utilizing the dual approach which combines the implementation of structured quality frameworks with the resolution of systemic inefficiencies. The present study presents a validated model (via EFA and MRA) to support the facility management decision -making in higher education institutions of India and, therefore, identifies some significant areas for future research, which include leadership, financial mechanisms, and digital facility management technologies.

The study explores the role of Artificial Intelligence in influencing the learning and teaching process in business schools by through quantitative technique of Interpretive Phenomenological Analysis. The outcome shows that analytical capabilities a nd making of decisions are enhanced through AI. However, it also develops doubts about superficial engagement, cognitive dependency, and ethical ambiguity. The paper advocates the requirement of using AI in a manner where it acts as a catalyst to management learning by enhancing critical thinking

Entrepreneurship is growing at an accelerated pace and is viewed as a natural way to cater to the economy, create new jobs, and conceptualize new ideas to life. To help such kind of growth, successive central and state governments and many other private players have launched skill development programs that guide aspiring youth to learn how to begin entrepreneurial journey. These programs mostly focus on imparting technical skills, financial acumen, digital self-efficacy, and preparation of business plan. However, training focussing legal awareness is rarely provided. Most budding entrepreneurs begin their work without knowing the iota of basic laws that apply to business environment. This constraint of legal awareness can create serious problems, such as lacunae in business registration, unknowingly compromising tax and labour laws, facing contract issues, or losing their rights over their ideas due to weak protection of intellectual property. These challenges may affect their survival and hinder growth of the startups, even though if the business idea is unique. This paper aims to study that how the lack of legal awareness in skill development programs creates hindrance for budding entrepreneurs. It can provide insight that why legal awareness is just helpful and important for managing a progressive business. The paper highlights the gaps in current skilling programs and recommends ways to incorporate simplistic legal awareness into them. It further discusses how legal understanding can help budding entrepreneurs avoid common mistakes in conflict with law and build stronger, safer startups. Lastly, the paper concludes with suggestions for improving training systems by adding basic legal education and involving legal experts, educators, and policymakers into skill building programs. The aim is to support a startup culture in India that is not only smart and innovative but also legally compliant and prepared for long-term success.