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The learning outcome is to understand the difference between correlation and causation.

The case is set during the period of the COVID-19 pandemic, globally a search for effective treatments were underway. An initial forerunner that was being considered was Bacille Calmette-Guerin (BCG), given its effectiveness in the treatment of tuberculosis and other pulmonary-related infections. While there were a lack of randomised controlled trials, initial data from publicly related secondary data sources indicated that, in countries with BCG inoculation policies, the severity of the spread and mortality of COVID-19 was muted. The case is centered around the available information on BCG and COVID-19.

Post-graduate students learning statistics as part of a degree programme. The case assumes no prior statistics knowledge and therefore is aimed at teaching the difference between correlation and causation.

CSS 7: Management Science

Teaching Notes are available for educators only.

Literature on modes of entry has focussed on firm-level strategies. The predominant theories used are institutional theory and the resource-based view. Using an alternate approach – network theory – this paper aims to demonstrate an additional mode of entry: multiple firms entering together as an extension of an existing loose network, known as a bridging network. The extension of an external network across borders is an appropriate mode of entry in emerging markets, with no pre-existing networks or existing networks within a market that are weak, immature or missing.

A conceptual review, which develops four propositions, demonstrating that market entry with bridging networks may be the preferred mode of entry in the presence of institutional voids. Alternative modes may not be viable because of costs and risks associated with overcoming such voids.

Existing theory and case examples support the contention that market conditions facilitate firms to enter as networks rather than as singular entities. These conditions are found in markets with institutional voids and explain the dominant form of business groups in many countries and the operation of loose strategic alliances in emerging markets. Network entry facilitates market access speed may allow for local ties to remain undeveloped or be a first step in building in-country networks.

This paper heeds to the call for a network ecosystem approach to market entry, arguing that firms may enter as a collective in subsistence and emerging markets, which would explain the preponderance of business groups and loose alliances found.

Many markets are conceptualized as a stratified low- and middle-income “pyramid” of consumers. Emerging markets are sites of rapid consumer mobility, and thus the middle class there is connected to, and often supports, low-income relatives and employees. Therefore, this paper aims to establish that African income groups are not insular, but rather interrelated and have strong social ties reinforced with longstanding communal values, such as ubuntu.

Using a between-subjects experimental vignette design, the propensity of the middle class to cover low-income individuals on an insurance product was assessed.

Income strata are interrelated and can inform value propositions, which is demonstrated in this paper with insurance, where the middle class are willing to include others, depending on their social proximity, on their insurance cover.

The context for this study was personal home insurance; hence, the generalisability of the results is circumscribed. Other more tangible forms of cover, such as medical, funeral or educational insurance, may engender far stronger effects.

Marketers tend to view low- and middle-income consumers as independent. A view of their interrelation will change the design of many products and services, such as a service catered to the poor but targeted at their support networks. An example of such a service is insurance, which is traditionally hard to sell to the poor. A less atomistic approach to income strata could have implications for vicarious consumption, as well as a reconsideration of the disposable income of both groups.

The pyramid is an interconnected network of social and economic ties.

The learning outcomes are as follows: How to establish credibility of data sources; measurement scales of data; the importance of descriptive statistics and generating the following based on the type of data: mean, median and standard deviation; graphical methods; and test for differences: t-test and analysis of variance.

The case is set during the COVID-19 pandemic and the South African Government’s response to the pandemic. A brief timeline is provided as part of the introduction to the case study, with the following being a timeline of the events: 14 March 2020, 114 South African citizens were repatriated from Wuhan the epicentre of the COVID-19 outbreak; 15 March 2020, South Africa’s President, Cyril Ramaphosa declares a National State of Disaster, and this includes various measures to protect against the spread of COVID-19, while the health-care system is geared up to deal with the pandemic. Among the measures implemented, travel bans from high-risk countries and closing of air-traffic, closing of land ports and banning of gatherings of more than 100 people; 23 March 2020, President Cyril Ramaphosa announced a national lockdown beginning on 27 March 2020 for three weeks; 9 April 2020, President Ramaphosa extends the national lockdown by a further two weeks. The World Health Organisation (WHO) had commended South Africa on the swift action taken to curb the spread of the virus. Individuals and organisational leaders are grappling to make sense of the spread of the virus, and the barrage of the information that is being communicated through multiple channels, formal and informal. To make sense of the information, the case is premised on getting access to the raw data and conducting the analysis based on the publicly available data. The central requirement of the case is to compare the number of positive cases per million, based on the population data contained in the data set, of South Africa to a comparable country.

Post-graduate students learning statistics as part of a degree programme. The case assumes no prior statistics knowledge and therefore is aimed at teaching the importance of the basics of statistical analysis and then progressing to tests for differences.

CSS 7: Management Science

Teaching Notes are available for educators only.

After completion of this case study, students should be able to reflect on the concept of creating shared value and then determine whether Shesha Geza can be referred to as a shared value company and, if so, what level of shared value it demonstrates. They will be able to subjectively and objectively understand the possible meaning of when a social enterprise embarks on a strategy to scale the organisation; clarity of construct will enable managers to better plan and successfully implement scalability goals. They will also be able to recognise, once scalability goals are better understood and planned, that there are a multitude of intra-organisational levers and drivers that may contribute to the organisation’s ability to scale its operations, which are related to specific internal organisational capabilities of social enterprise companies. In addition, there are situational factors that may affect the business either positively or negatively in relation to the scalability success of which a social entrepreneur should be aware.

In April 2021, Dean Boniface and his brother, Roger, had just signed off a new informational video for their Shesha Geza innovation, a low-cost hand-washing station designed for use at commuter hubs and high-traffic areas across the African continent. The unit used diluted chlorine instead of alcohol-based sanitisers to ensure a more expedient and sustainable solution, one better suited to Africa’s logistical challenges. Boniface, the co-founder of Vue Architects, had conceptualised the idea of the hand-washing hub during South African Government’s enforced COVID-19 lockdown from 27 March 2020 to 1 May 2020. Shesha Geza’s speed to market was a key contributor to its successful response in solving a critical social need. Throughout 2020, Boniface and his team built successful partnerships and secured an impressive order pipeline within a short span. Export opportunities across Africa, installations and maintenance of a sizable number of units across South Africa and the development of a behavioural change programme aimed at hygiene in schools kept the momentum going in the business. However, a year into the business and the future sustainability of a crisis–response enterprise and the ability of a shared value enterprise to scale were playing on Boniface’s mind. He was worried about the future of the small resource-constrained business. Holding onto the mental map of everything the team had learned over the past year, Boniface was confident about one thing: “All the programmes we build around Shesha Geza are value-adds to our current business. Hand hygiene will not diminish after COVID-19; it will continue to be an important social issue across the African continent.”

This case is intended for discussion in post-graduate-level courses such as an MBA and in postgraduate courses focused on business model innovation or on creating shared value. This case is suitable for use in the environment of business courses in relation to environmental situational factors that may affect the ability to scale social enterprises or strategic implementation courses, considering the still pervasive challenge of scaling increasingly important social impact enterprises.

Teaching notes are available for educators only.

CSS 11: Strategy.