Corporate social responsibility (CSR) continues to receive greater attention in the current business world. Many studies on CSR focus on manufacturing or industrial companies by examining external CSR activities from external stakeholders’ perceptions. However, academic institutions such as higher education institutions (HEIs) remain highly unexplored in the context of internal corporate social responsibility (ICSR). Employees are the most valuable and vital assets for every business organization. Therefore, this study focuses on CSR’s internal dimensions to determine its impact on social performance in HEIs in Ghana. Recognizing the social exchange theory (SET), we specifically examined the effects of five internal CSR dimensions (i.e., health and safety, human rights, training and development, workplace diversity, and work-life balance) on social performance. We used a multi-case approach to assess internal CSR activities in private and public Ghanaian universities. We purposely selected three public universities and one private university because of their varying contexts and academic mandates. We used structured questionnaires to collect data from both teaching and non-teaching staff of the selected universities. Structural equation modeling (SEM) was used to assess the data. We found that health and safety, workplace diversity, and training and development positively and significantly impact social performance. At the same time, human rights and work-life balance have an insignificant effect on social performance. Thus, ICSR practices have a substantial influence on both employees’ and organization’s performance, and hence this study gives important implications for both researchers and practitioners

This study attempts to examine the impact of corporate sustainability on firm performance by examining the indirect effect of sustainability-oriented supplier partnership and green innovation capabilities of a firm. The data acquired to address the research question is collected from management personnel, officers, and experts in the Ghana manufacturing sector using a list provided by the Association of Ghana Industries. Data acquired are tested for convergent validity and construct reliability and further examine the measurement model. The structural model is examined using partial least square structural equation modeling techniques. The empirical study supports seven (7) out of eight (8) stated hypotheses. Findings indicate that a sustainability-oriented supplier partnership indirectly influences the effect of social sustainability practices on a firm’s performance. In the same view, the outcome revealed that a sustainability-oriented supplier partnership does not positively influence the relationship between environmental, economic sustainability, and firm performance. Green innovation capabilities indirectly influence the effect of social and economic sustainability on firm performance except for environmental sustainability and firm performance. The findings of the study contribute to the literature by providing insights into the indirect effect of supplier–partnership and green innovation capabilities on firm performance, especially in the manufacturing sector.

The study of technology acceptance is a constantly developing field, perhaps, resulting from the ever evolvement of new technologies. Models and theories have been developed to address and determine technology user acceptance behaviour. The study adopted the UTAUT model, which is considered parsimonious and comprehensive because of its eclectic nature. The study thus examined the critical predictors of behavioural intentions and the relationships that exist among the predictor variables in the ICT adoption context in the University for Development Studies, Tamale in Ghana. The study surveyed 100 respondents using self-administered questionnaire. The findings of the study indicate that the adopted model for the study explains 67.3% of the variation in behavioural intention to adopt ICT. It also found that facilitating conditions exert the strongest influence on behavioural intention than the rest of the predictor variables in the research context. Whereas performance expectancy was the least influential, social influence and effort expectancy were second and third respectively. Theoretically, the study fills the dearth of application of technology acceptance models in understanding the critical determinants of behavioural intention in Universities’ staff ICT adoption context. It also provides valuable implications for management of Higher Institutions of Learning.