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In the face of fast technological improvements, higher education institutions must strike a balance between leveraging existing strengths and pursuing new opportunities to succeed. This study examines how organisational ambidexterity affects digital efficacy in Zimbabwean state universities, with a focus on the moderating influence that digital skills play. A cross-sectional research design was employed to collect data from 110 academic and administrative staff at three Zimbabwean state universities through digital platforms. The findings show a positive relationship between organisational ambidexterity and digital efficacy, with digital skills significantly moderating the relationship. Universities with ambidextrous staff have higher levels of academic excellence, research productivity, and stakeholder satisfaction. Due to limited time and funds, the study only focused on three state universities, but it would be interesting to explore private universities in the future. This research provides valuable insights for Zimbabwean state universities to enhance their digital capabilities. By fostering a balance between exploitation and exploration of digital innovations and investing in digital skills development, universities can improve their digital competence and competitiveness. The study contributes to enhancing digital efficacy within the higher education sector, informing strategic decisions, and providing valuable insights for university leaders, policymakers, and scholars grappling with the challenges of digital transformation. This research contributes to the existing literature on digital transformation in higher education, particularly within resource-constrained environments. The study provides novel empirical evidence based on data collected from university staff interacting through digital platforms.

This study investigates the use of artificial intelligence (AI) to improve operational performance in Zimbabwean road haulage enterprises, with a focus on driver training as a moderator. As the logistics industry faces new difficulties, AI technologies have great promise for increasing efficiency and decision making. However, the usefulness of these technologies is determined by the skill levels of the drivers using them. This study demonstrated how extensive driver training improves the capacity to comprehend AI-generated insights, resulting in better route management, lower operating costs, and increased safety. This study examines how AI affects key performance variables such as cost savings, productivity, customer happiness, and environmental sustainability, using real data from road haulage companies. Key findings demonstrate how AI is transforming decision-making, improving operational effectiveness, and optimizing routes. The research highlights several noteworthy obstacles in addition to their obvious advantages, such as budgetary limitations, difficulty in obtaining pertinent data, and the need for more regionalized AI solutions. The findings, which are based on case studies and performance data from diverse enterprises, indicate that (i) organizations that invest in both AI and driver training benefit from a synergistic impact, resulting in higher operational outcomes, (ii) there is need to combine technical improvements with human experience to achieve maximum performance in Zimbabwe's competitive road-haulage market and finally (iii) this study offers helpful recommendations for successfully integrating artificial intelligence (AI) into haulage processes, along with insights into best practices and alternative approaches to overcome current obstacles. This study emphasizes the importance of context-specific solutions in emerging regions, enhancing the expanding corpus of knowledge on AI applications, particularly in logistics.

The study aims to develop a framework for stakeholder management planning to guide entities in using holistic structured and tailored approaches that effectively guide stakeholder management. The study was inspired by perceived inadequacies of current frameworks to provide actionable solutions to stakeholder management planning. The study is underpinned by pragmatism and involves mixed methods research consisting of quantitative and qualitative approaches. A stratified random sampling method is used with the target population being 55 companies listed on the Zimbabwe Stock Exchange covering the period 2019-2023. The theoretical framework was anchored on the stakeholder theory by Edward Freeman (1984).  Questionnaires (n=215) are analysed using SPSS version 26 while 12 semi-structured interview guides are analysed using NVIV0 version 14 with 10 local corporate governance practitioners validating the framework. The Quantitative techniques used are Cronbach alpha, exploratory factor analysis, regression and ANOVA.   Findings were that variables from the study namely the definitive / latent criteria, communication, engagement and collaboration sub-plans are sufficiently positively related to stakeholder management planning and several sub-themes emerged around them to produce a holistic framework of stakeholder management planning. The framework is expected to see the improvement of stakeholder management planning in practice.

The purpose of the study was to explore the challenges and strategies of cultivating and promoting inclusivity and diversity in the energy sector. Grounded in the interpretivist research paradigm, a qualitative approach was adopted specifically using descriptive multiple case study design. In-depth interviews were conducted from sixteen purposively selected participants from the energy industry in Chipinge district, Zimbabwe. Data was analyzed using the thematic data analysis technique.  The study found out that the work environment in the energy industry was partially inclusive. There is evidence of both success stories and challenges with regards to inclusivity in the energy sector. The main challenges faced by the energy sector in promoting inclusivity include resource inadequacies, unconscious biases, resistance to change, communication barriers, tokenism, lack of knowledge and commitment from managers, strategic misalignment, policy deficiency and gender disparities in leadership roles. The strategies that can be employed to cultivate an inclusive work environment are the development of comprehensive policies, cultural transformation through management training, deliberate inclusion in procurement and infrastructure design, regular employee surveys, inclusive leadership programs, and mentorship initiatives. The findings contribute to the broader discourse on fostering inclusivity in the workplace by equipping all stakeholders with full knowledge and understanding of inclusive workplace dynamics. The study also contributes to the body of knowledge by shedding light on the challenges faced by the energy sector and strategies for accelerating the embracing of inclusivity in the energy sector. Furthermore, the study adds to the underexplored discourse of diversity management in Southern Africa and brings a grounded qualitative voice to the broader literature.