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The purpose of this study was to analyse the skills required by lecturers to be able to support research data management effectively; assess the research data management literacy levels amongst lecturers at Strathmore University; and suggest how research data management capacity can be strengthened to mitigate the knowledge gaps identified.

This study was conducted as a mixed methods research. Explanatory sequential mixed methods approach was used to collect, analyse and interpret quantitative and qualitative data from lecturers at Strathmore University in Nairobi, Kenya. Quantitative data was collected using questionnaires while qualitative data was collected through focus group discussions. Quantitative data was analysed using SPSS while qualitative data was analysed thematically.

The findings of this study indicate varied levels of research data management literacy amongst lecturers at Strathmore University. Lecturers understand the need of having literacy skills in managing research data. They also participate in data creation, collection, processing, validation, dissemination, sharing and archiving. This is a clear indication of good research data management. However, the study also revealed gaps in research data management skills amongst the lecturers in areas such as sharing of research data on open access journals, data legislation and securing research data.

The study has been conducted in one university in Kenya. However, the findings have been contextualised in the global landscape through suitable references.

The findings of this study may be used to attract the attention of lecturers and librarians to research data management. The findings may also be used to develop institutional policies on research data management at Strathmore University and beyond. The suggested ways of research data capacity strengthening can be adopted or adapted by other universities to enhance research data management.

This is an original study.

The purpose of this paper is to utilize legitimacy theory to test the association between the governance of credit unions and their social and environmental disclosure in a developing country, Kenya. A further examination of institutional pressures due to regulatory forces on the association between co-operative governance and credit union social and environmental disclosure (CSED) is performed.

Using a sample comprising of 1,272 credit union observations over the period 2008-2013, panel OLS regressions are performed to establish the association between co-operative governance and CSED. A comparison of the pre- and post-regulatory influences on co-operative governance and CSED is also performed.

The findings, which are in support of both legitimacy and institutional theories, depict a positive and significant association between co-operative governance and CSED. The significance of the co-operative governance score improves from the pre-regulation period to the post-regulation period. Other significant variables influencing the volume of CSED by credit unions in Kenya include credit union size and financial performance as measured by the return on assets.

The study examines CSED practices in a developing country and in organizations in a single sector. Further, CSED is measured using a self-constructed index with data being obtained from audited annual reports only.

The study highlights the need to develop CSED guidelines tailored for credit unions, and a focus on co-operative governance as a way of improving disclosure practices.

The study utilizes a sector-specific governance variable and a CSED index to examine the association between the two variables by credit unions in a developing country. The study also attempts to investigate the role of regulation on the association between co-operative governance and the volume of CSED.

This study aims to examine the effect of board-related and firm-specific drivers on quality of risk disclosure (RD) by listed firms in Kenya.

This study uses explanatory sequential mixed-method. The quantitative approach uses content analysis to measure quality of RD and panel data regression to examine the effect of board-related and firm-specific factors on quality of RD. The results of regression analysis are informed by qualitative analysis through interviews with preparers of the annual report.

The results reveal that quality of RD is low but greater in the post-regulation than in the pre-regulation period. Additionally, the results of regression and interview analysis show that board-related (board independence and board gender diversity) and firm-specific factors (firm size and leverage) positively influence the quality of RD.

This study focused on listed non-financial firms; this may affect the generalisation of the findings among financial firms.

The findings highlight the effectiveness of the Companies Act in improving RD practice in Kenya. However, the low-quality RD suggests that more consideration should be taken to review the current regulations. This study also suggests that board independence, board gender diversity, leverage and firm size are attributes that require regulatory focus to enhance quality of RD.

This study contributes to the ongoing discussions about RD to improve worldwide.

This paper adds to the limited studies investigating RD and drivers using mixed methods in developing countries. Specifically, this study develops a novel measure of RD and examines its drivers (board-related and firm-specific) using agency and institutional theories.

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).

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.

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.

This study is original in terms of its subject matter, scope and application.

The case will be useful in helping learners: to appreciate concepts in and develop the necessary understanding to apply relevant theories in crisis communications; to identify communications issues along with the evolution of a crisis; to understand the importance and role of a crisis communications team; and to develop skills in writing a crisis communications plan.

The case is a narration of the experiences of the Kenya Red Cross Society (KRCS) as it launched the Kenya drought appeal in March 2019, and the unexpected media and public backlash that ensued. The background is that of an unusual-yet-previously-predicted dry spell, consequent drought and famine, alleged famine-related deaths, mixed signals from the national and county government and a hitherto well-regarded institution (the KRCS) coming in to launch an appeal aimed at raising funds to help alleviate the effects of the prolonged drought and consequent famine in the northern parts of the country. Unfortunately, a major media and public backlash that was not foreseen by KRCS ensued, and it threatened the reputation and very existence of the organization. Drawing on interviews and secondary material in the public domain, the case focuses on how the KRCS navigates the media and public backlash that ensued following the funding appeal. The case is interesting because of the type of organization involved (a not-for-profit institution set up as auxiliary to the government and of good repute), the nature of the problem (reputational crisis and attendant risk management), the setting (a LMIC in sub-Saharan Africa) and the level of analysis (organizational rather than individual decision-making).[AQ1]

Masters level – MBA, Executive MBA, Master’s in Public Management, Master’s in Communication and/or similar courses.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of this paper is to investigate the effects of climate smart agriculture knowledge transfers. As well as to examine the application of climate-smart agricultural (CSA) knowledge such as conservation agriculture, irrigation systems, integrated soil fertility management, bioenergy and agroforestry by smallholder farmers in Kenya.

The study applied comparative research methodology to compare climate smart agriculture knowledge application between smallholder participants in farmer field schools (FFS) and no FFS participation. This study used household data from 759 randomly selected rural agricultural households in three counties in Kenya. The study applied multivariate probit model to estimate CSA knowledge application by farmers who participated in field trainings and non-FFS participation farmers.

This study established that climate smart agriculture knowledge transfer through FFS increases farmers’ application of critical aspects of climate smart agriculture knowledge practices such as irrigation system, conservation agriculture and soil and water conservation. Such aspects have been noted as effective interventions against adverse climate change effects such as persistent droughts and flooding and soil infertility. Further findings illustrated that farmers who received CSA knowledge transfers applied agricultural insurance to mitigate rising climatic risks on their farms. Knowledge transfer interventions targeting affordability through subsidizing agricultural insurance are probable and more cost-effective measures that can be used to reduce smallholder farmers’ exposure to climate change-related risks.

This study provides information that was previously unknown about climate smart agriculture knowledge transfers and application among farmers who participated in field trainings and non-FFS participation farmers by using empirical data.

Upon completion of the analysis of the case, the students will be able to distinguish between a family business and a non-family business, evaluate the professionalization strategies used by Jeff Hamilton and categorize the type of family business that Jeff Hamilton is so far using the model of professionalization developed by Dekker et al. (2013). The model classifies family firms into four types according to their level of professionalization: autocracy, domestic configuration, administrative hybrid and a clench hybrid.

The case highlights how Jeff Hamilton, a family business that began in Kenya and has grown regionally in East Africa, has professionalized its operations and, by so doing, facilitated its growth. The family business is run by Major Boke and his wife Lucy Boke and was ranked number 31 in the 2019 top 100 SME survey conducted yearly by KPMG in collaboration with Nation media group – a Kenyan media company. The dilemma revolves around decision-making in the times of the COVID-19 pandemic, where structures put in place to professionalize the business facilitated the decision-making.

The case can be taught to undergraduate and graduate-level entrepreneurship and family business courses. It can also be taught to executive education short courses on family business and entrepreneurship.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This study aims to explore factors influencing voluntary adoption of international sustainability and integrated reporting guidelines within a mandatory reporting framework. Given South Africa’s political history, the authors argue that accounting practice can be used to secure the legitimacy and transparency of businesses.

Two logistic regression equations are used to predict the likelihood of firms’ subscribing to either Global Reporting Initiative (GRI) or the Integrated Reporting (<IR>) framework, respectively. The authors consider annual, sustainability and integrated reports issued for the financial year ended 2014.

The results show a statistically and significant positive association between the adoption of the GRI’s guidelines and the level of transparency of non-financial disclosures and environmental sensitiveness. The application of the <IR> framework is also associated with the level of a firm’s transparency score and with its respective analyst following, which acts as a measure for capital markets requiring a high information environment.

This paper illustrates the development of integrated and sustainability reporting (SR) practices within an emerging market. By drawing distinctions between locally developed South African codes of corporate governance, namely, King I-III and international guidelines proxied by the GRI’s guidelines for SR, and the <IR> framework, the authors show that South African firms still adopt international guidelines despite the mandatory framework in place.

The aim of this paper is to provide a review of state-of-the-art literature on information sharing in the context of African perishable agri-food supply chains (AFSCs). In doing so, the authors hope to stimulate further research and advance both theory and practice on African perishable AFSCs, which is a relevant, but under-investigated context.

The authors’ systematic literature review covers a period of 21 years (2000–2021). After providing the bibliometric and methodological insights related to this sample of literature, the authors provide a detailed analysis and discussion of the key aspects of information sharing in African perishable AFSCs, based on a review framework grounded in the information sharing literature.

The authors’ review revealed that information sharing in African AFSCs is still in its nascent stage. Findings are based on four themes of (1) why share information (mainly to gain market access), (2) what information is shared (price and market information) (3) how it is shared (still traditional communication, with limited adoption of digital technologies?) and (4) antecedents, drivers and barriers (technology adoption and socio-economic background of Africans).

This paper outlines a research agenda for advancing the theory on information sharing in AFSCs. Furthermore, the review highlights the importance of context, supply chain structure, relationships, product characteristics and culture in studying AFSCs.

A review on information sharing in African perishable AFSCs does not appear to exist in operations and supply chain management (O&SCM) and agribusiness journals.