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Background: In a competition for scarce resources, higher education institutions in developing countries have lost to other priorities. The article examines specific barriers to innovation in the higher education context. A thorough understanding and removal of these impediments paves a way to innovation in developing countries, specifically Zimbabwe. Objectives: Firstly, the study sought to evaluate the barriers to innovation in higher education and secondly recommend strategies to improve the innovation capabilities of the institutions. Method: A survey strategy was adopted to collect data from 240 purposefully selected academics at four state universities in Zimbabwe with a 66.6% response rate. Results: The results indicate that the lack of funding for research is the biggest barrier to innovation in higher education with a 46% representation. Along the same spectrum, the lack of incentives is also another barrier with an account of 21% of the participants who participated. The organisational structure is also a pertinent barrier with 24% representation. Lastly, the organisational culture accounts 9% of the participants. Conclusion: Adequate resource allocation and funding is crucial to the success and transformation of the higher education system. Implementing policies that align with the strategic goals of the institutions is imperative to bring about innovation not only in Zimbabwe but also in other developing countries too. Contribution: Higher education institutions should provide adequate funding for research and reassess their organisational cultures and structures for them to be on the cutting edge. [ABSTRACT FROM AUTHOR]

Background: In a competition for scarce resources, higher education institutions in developing countries have lost to other priorities. The article examines specific barriers to innovation in the higher education context. A thorough understanding and removal of these impediments paves a way to innovation in developing countries, specifically Zimbabwe. Objectives: Firstly, the study sought to evaluate the barriers to innovation in higher education and secondly recommend strategies to improve the innovation capabilities of the institutions. Method: A survey strategy was adopted to collect data from 240 purposefully selected academics at four state universities in Zimbabwe with a 66.6% response rate. Results: The results indicate that the lack of funding for research is the biggest barrier to innovation in higher education with a 46% representation. Along the same spectrum, the lack of incentives is also another barrier with an account of 21% of the participants who participated. The organisational structure is also a pertinent barrier with 24% representation. Lastly, the organisational culture accounts 9% of the participants. Conclusion: Adequate resource allocation and funding is crucial to the success and transformation of the higher education system. Implementing policies that align with the strategic goals of the institutions is imperative to bring about innovation not only in Zimbabwe but also in other developing countries too. Contribution: Higher education institutions should provide adequate funding for research and reassess their organisational cultures and structures for them to be on the cutting edge.

Background: Despite the increasing interest and investment in big data analytics (BDA), many organisations find the implementation and use of the tools challenging. This is attributed to the cumbersome nature of some of the tools. Objectives: From both business and academic domains, this study sets out to provide a model that enables, supports, and makes the selection and use of BDA tools easier. Method: The qualitative methods from the perspective of an interpretive approach were employed in the study. The actor-network theory (ANT) was applied as a lens to underpin the phenomenon being studied and gain a deeper understanding of why things happen in the way that they confusedly do, in the selection and subsequent use of BDA tools. Results: The research revealed that five factors, organisational requirements, top-down versus bottom-up approach, the role of stakeholders, the usefulness of BDA, and organisational structure, primarily influence the selection and use of BDA tools in organisations. Conclusion: Empirically, the factors bring fresh perspectives to support the decision in appropriately managing BDA deployment for organisational purposes. Contribution: The main contribution of this study lies in the use of the decisions support model, to practically and theoretically provide a guide for managers in the organisation, in selecting BDA for decision support purposes. From an academic perspective, the study contributes to the advancement in the use of ANT for analysis in information system (IS) research.

Background: Despite the increasing interest and investment in big data analytics (BDA), many organisations find the implementation and use of the tools challenging. This is attributed to the cumbersome nature of some of the tools. Objectives: From both business and academic domains, this study sets out to provide a model that enables, supports, and makes the selection and use of BDA tools easier. Method: The qualitative methods from the perspective of an interpretive approach were employed in the study. The actor-network theory (ANT) was applied as a lens to underpin the phenomenon being studied and gain a deeper understanding of why things happen in the way that they confusedly do, in the selection and subsequent use of BDA tools. Results: The research revealed that five factors, organisational requirements, top-down versus bottom-up approach, the role of stakeholders, the usefulness of BDA, and organisational structure, primarily influence the selection and use of BDA tools in organisations. Conclusion: Empirically, the factors bring fresh perspectives to support the decision in appropriately managing BDA deployment for organisational purposes. Contribution: The main contribution of this study lies in the use of the decisions support model, to practically and theoretically provide a guide for managers in the organisation, in selecting BDA for decision support purposes. From an academic perspective, the study contributes to the advancement in the use of ANT for analysis in information system (IS) research. [ABSTRACT FROM AUTHOR]

Background: Many state-owned enterprises (SOEs) in South Africa face the serious problem of knowledge-unfriendly organisational cultures, structures and human resource management (HRM) practices that hinder the reduction of the risks associated with tacit knowledge loss. Objective: The article examines the role of HRM in facilitating knowledge-driven organisational cultures and structures for the reduction of tacit knowledge loss in South African SOEs. Methods: The study deployed an exploratory sequential mixed methods research design to examine the role of HRM in facilitating organisational cultures and structures that are supportive of knowledge management (KM). In the qualitative phase, data were collected through interviews with 20 purposively selected HR managers in nine SOEs. In the quantitative phase, a questionnaire was distributed to 585 randomly selected employees in three state-owned companies. The instrument was considered reliable with a Cronbach’s alpha of 0.94 and a response rate of 25%. Results: The research findings revealed that a majority of organisational cultures and structures in SOEs did not facilitate or assist to propel and support KM activities, behaviours and practices. On a positive note, human resource managers acknowledge that they have a crucial role to play in influencing culture management and structural designs in their companies to boost KM activities, behaviours and cultures. Conclusion: Numerous SOEs did not exhibit certain knowledge-driven behaviours and cultures because of a lack of structures to drive KM. Human resource managers did not exert their role in driving and influencing such knowledge-based behaviours, cultures and structures to lessen potential tacit knowledge loss.

Background: Many state-owned enterprises (SOEs) in South Africa face the serious problem of knowledge-unfriendly organisational cultures, structures and human resource management (HRM) practices that hinder the reduction of the risks associated with tacit knowledge loss. Objective: The article examines the role of HRM in facilitating knowledge-driven organisational cultures and structures for the reduction of tacit knowledge loss in South African SOEs. Methods: The study deployed an exploratory sequential mixed methods research design to examine the role of HRM in facilitating organisational cultures and structures that are supportive of knowledge management (KM). In the qualitative phase, data were collected through interviews with 20 purposively selected HR managers in nine SOEs. In the quantitative phase, a questionnaire was distributed to 585 randomly selected employees in three state-owned companies. The instrument was considered reliable with a Cronbach's alpha of 0.94 and a response rate of 25%. Results: The research findings revealed that a majority of organisational cultures and structures in SOEs did not facilitate or assist to propel and support KM activities, behaviours and practices. On a positive note, human resource managers acknowledge that they have a crucial role to play in influencing culture management and structural designs in their companies to boost KM activities, behaviours and cultures. Conclusion: Numerous SOEs did not exhibit certain knowledge-driven behaviours and cultures because of a lack of structures to drive KM. Human resource managers did not exert their role in driving and influencing such knowledge-based behaviours, cultures and structures to lessen potential tacit knowledge loss. [ABSTRACT FROM AUTHOR]

Background: The productivity of healthcare institutions is impacted by the nursing workforce and plays a vital role in the provision of effective and efficient patient care. Knowledge management plays a vital role in nursing practice. This study seeks to extend the frontier of knowledge by addressing the paucity of literature on knowledge management in nursing care delivery in Nigeria. Objectives: The study empirically identified crucial knowledge management enablers from extant literature and investigated their influence on patient care in clinical nursing. Method: A cross-sectional survey design using a stratified sampling method was employed. A self-administered questionnaire was used to collect quantitative data from 196 registered nurses in a selected teaching hospital in South West Nigeria. A total of 186 valid responses were analysed using structural equation modelling (SEM). Result: The result of this study indicated that there is a direct and significant relationship between information technology (IT) and patient care. Organisational structure and organisational culture did not directly affect patient care. However, together with IT support, the knowledge management enablers were found to significantly affect patient care in clinical nursing. Conclusion: There is a need for nursing management to develop a flexible organisational structure and knowledge friendly culture including the implementation of functional technical infrastructure, to leverage knowledge management effectiveness in patient care in teaching hospitals in order to facilitate and strengthen service delivery by nurses.

Background: The productivity of healthcare institutions is impacted by the nursing workforce and plays a vital role in the provision of effective and efficient patient care. Knowledge management plays a vital role in nursing practice. This study seeks to extend the frontier of knowledge by addressing the paucity of literature on knowledge management in nursing care delivery in Nigeria. Objectives: The study empirically identified crucial knowledge management enablers from extant literature and investigated their influence on patient care in clinical nursing. Method: A cross-sectional survey design using a stratified sampling method was employed. A self-administered questionnaire was used to collect quantitative data from 196 registered nurses in a selected teaching hospital in South West Nigeria. A total of 186 valid responses were analysed using structural equation modelling (SEM). Result: The result of this study indicated that there is a direct and significant relationship between information technology (IT) and patient care. Organisational structure and organisational culture did not directly affect patient care. However, together with IT support, the knowledge management enablers were found to significantly affect patient care in clinical nursing. Conclusion: There is a need for nursing management to develop a flexible organisational structure and knowledge friendly culture including the implementation of functional technical infrastructure, to leverage knowledge management effectiveness in patient care in teaching hospitals in order to facilitate and strengthen service delivery by nurses. [ABSTRACT FROM AUTHOR]