Purpose Cyber-bullying is a form of harassment that is perpetrated using electronic media. The practice has become increasingly common especially with the growing ubiquity of social media platforms. Most cyber-bullying cases inevitably occur on Facebook because it is the most preferred social media platform. However, little is known about cyber-bullying research in Kenya. This paper aims to analyse the quantity, quality, visibility and authorship trends of scholarly publications on cyber-bullying from and/or about Kenya. Design/methodology/approach This study was conducted as a systematic literature review. A meta-analysis approach was used. Bibliometrics approaches were used to conduct the analysis. Data on the publications was collected from Google Scholar using Harzing's “Publish or Perish” software and then analysed and presented using Microsoft Excel, Notepad and VOSviewer. Findings The study yielded 359 research publications on cyber-bullying in Kenya. There was a gradual increment in the number of publications, peaking in 2018. Nearly half of the publications have not been cited indicating low uptake of research on cyber-bullying in Kenya. It also emerged that most of the research has been published on subscription channels thereby restricting their visibility, access and use. Minimal collaboration in research on cyber-bullying in Kenya was also observed since 67.4% of the publications were written by a single (one) author. The authors conclude that the quantity, quality and visibility of research on cyber-bullying in Kenya is low. Originality/value This is an empirical study. The findings can be used to promote and mainstream research on cyber-bullying in Kenya.

Purpose Big data analytics is a set of procedures and technologies that entails new forms of integration to uncover large unknown values from large data sets that are various, complex and of an immense scale. The use of big data analytics is generally considered to improve organisational performance. However, this depends on capabilities of different organisations to provide the resources required for big data analytics. This study aims to investigate the influence of big data analytics on organisational performance of Technical University of Kenya (TUK) and Strathmore University (SU). Design/methodology/approach This study was conducted as a mixed method research to enable a deep understanding of the concept. Primary data was collected through structured questionnaires and interviews with clientele and information communication technology staff from the TUK and SU, both in Nairobi, Kenya. Secondary data was collected through interviews and questionnaires. Data was analysed and presented using descriptive statistics. Findings The findings revealed that most of the variables of organisational performance such as innovativeness, creativeness, effectiveness, productiveness and efficiency are affected positively by conducting big data analytics in both institutions. The results demonstrate that the TUK showed a negative relationship between big data analytics and competiveness and profitability while SU showed a positive relationship between the two variables. In terms of regression analysis, the findings revealed that SU showed a good relationship between independent and dependant variables while the TUK had a weak influence. Originality/value This study is original in terms of its subject matter, scope and application.

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PurposeThe fourth industrial revolution (4IR) has changed the way people operate. All sectors of the economy have been affected by this technological advancement. However, little is known of how 4IR technologies are used in Africa. This paper aimed to investigate how 4IR technologies can be harnessed to support sustainable development in Africa. The objectives of the study were to: examine the infometric patterns of research production on 4IR technologies for sustainable development in Africa; explore the perception of 4IR technologies and their potential for sustainable development in Africa; investigate the extent to which 4IR technologies have been harnessed to support sustainable development in Africa; determine the factors influencing the use of 4IR technologies for sustainable development in Africa; and identify the strategies which can be used to harness 4IR technologies for sustainable development in Africa.Design/methodology/approachThe study applied a mixed methods research approach. Quantitative data was collected through bibliometrics analysis while qualitative data was collected by use of systematic literature review. Data was collected from Google Scholar using Harzing's “Publish or Perish” software and analysed using Microsoft Excel, Notepad, VOSviewer and Atlas.ti and presented using tables, graphs and figures.FindingsThe study retrieved 914 research publications on 4IR and sustainable development in Africa. It emerged that production of research on the subject has increased gradually over the years. The findings reveal that Africa is aware of the potential of 4IR for sustainable development. In fact, it emerged that 4IR technologies are being used to support education, health services, tourism, e-commerce, records integrity and project management. Some of the factors that inhibit the use of 4IR for sustainable development Africa include lack of relevant policies, low skill levels in 4IR technologies, inadequate infrastructure and lack of stakeholder involvement. This study recommends the development of policies in 4IR, capacity building and upgrading of infrastructures. The findings can be used by governments in Africa to harness 4IR technologies for sustainable development.Originality/valueThe research is original in scope and coverage.

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