Trotz der Relevanz und des Reifegrads des Forschungsbereichs Chief Information Officer (CIO) gibt es nur wenige Studien, die den aktuellen Wissensstand objektiv und umfänglich zusammenfassen. Die vorliegende Arbeit schließt diese Forschungslücke und präsentiert eine umfassende Literaturübersicht über das CIO-Forschungsfeld unter Verwendung der Hauptpfadanalyse. Anhand einer quantitativen und qualitativen Analyse von 438 Forschungsbeiträgen werden die zentralen Arbeiten in der CIO-Forschung und verschiedene Forschungsrichtungen identifiziert. Es zeigt sich, dass sowohl etablierte Forschungsrichtungen, wie z. B. ‚Entwicklung der CIO-Rolle‘ und ‚Hierarchische Position und Beziehungen des CIOs‘, als auch neu entstehende Forschungsrichtungen, wie z. B. ‚CIO als Business Enabler‘, wachsende Aufmerksamkeit auf sich ziehen. Auf der Grundlage der Ergebnisse werden vielversprechende weitere Wege auf dem Gebiet der CIO-Forschung aufgezeigt, z. B. solche, die den Einfluss neuerer Technologien untersuchen. / Despite the relevance and maturity of research related to the Chief Information Officer (CIO) role, there are few studies that objectively and comprehensively summarize the current state of the art. This paper fills this research gap and presents a comprehensive literature review of the CIO research field using main path analysis. Based on a quantitative and qualitative analysis of 438 research articles, the central contributions in CIO research and different research directions are identified. Our results show that both established research directions, such as ‘CIO Role Development’ and ‘CIO Hierarchical Position and Relationships’, and emerging research directions, such as ‘CIO as Business Enabler’, are attracting growing attention. Based on the results, we derive promising further directions in the field of CIO research, e.g., such as those investigating the impact of new technologies.

The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research agenda for social BI. By means of a literature review we systematically explored previous work and developed a framework. It contrasts social media characteristics with BI design areas and is used to derive the social BI research agenda. Our results show that the integration of social media (data) into a BI system has impact on almost all BI design objects.

The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research agenda for social BI. By means of a literature review we systematically explored previous work and developed a framework. It contrasts social media characteristics with BI design areas and is used to derive the social BI research agenda. Our results show that the integration of social media (data) into a BI system has impact on almost all BI design objects.

Despite the availability of numerous models for knowledge translation into practice and policy, research uptake remains low in resource-limited countries. This study was aimed at developing a model to facilitate research uptake in healthcare practice and policy development. The study used a two-phase exploratory sequential approach (QUAL→QUAN). Qualitative data were collected through semi-structured interviews with a total of 21 participants, categorised as researchers (6), frontline workers/practitioners (7), programme/policy managers (4), and directors/senior managers (4) from government, private sector and academic institutions of higher learning (universities and colleges). Quantitative data were collected through an online cross-sectional survey, administered to 212 respondents who conducted research studies in the Mpumalanga Province between 2014 to 2019. The most significant findings seem to be lack of awareness of research findings and champions to lead engagements among research stakeholders on research uptake. In addition, the research has established a failure by researchers to align public health research projects to existing local contexts and available resources. Conversely, there is a growing propensity of using informal research without consideration of data quality issues. It was further observed that establishing and sustaining beneficial collaboration between all research stakeholders is required to promote effective research uptake for practice and policy development. The survey results established a total of 13 components: four individual factors (support, experience, motivation & time factor); four organisational factors (research agenda, funding, resources & partnerships), and five research characteristics factors (gatekeeping, local research committees, accessibility of evidence, quality of evidence & critical appraisal skills). However, the Spearman’s correlation coefficient revealed that of the 13 factors, only six factors had a significant positive correlation with research uptake, namely: support, experience, motivation, time factor, resources, and critical appraisal skills. Consequently, a model for institutionalising research uptake is proposed. The roles of local research committees have been clarified, and a logical framework has been incorporated with pathways and channels of engagements to enable successful implementation of the research uptake model. / Health Studies / Ph. D. (Public Health)