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The learning outcomes are as follows: educate the students about the challenges in the development sector in general and in work of organizations working for women empowerment in particular; understand the overall concept of women empowerment vis-à-vis social entrepreneurship; explain the importance of technology in entrepreneurship, social entrepreneurship and development sector especially in marginalized communities in developing countries; and learn operational-level resource management in a resource-constrained setting of a non-profit sector.

Kaarvan Crafts Foundation (referred to as Kaarvan henceforth) worked for women empowerment in Pakistan with a focus on creating economic opportunities for rural women entrepreneurs. The case shares different initiatives by Kaarvan for creating opportunities for economic empowerment of rural women entrepreneurs. The main focus of the case is a program “Digitize to Equalize” in which Kaarvan offered digital literacy training to rural women entrepreneurs. The program involved developing an ecommerce platform where rural women entrepreneurs could sell their handicrafts and other products. A comprehensive training activity was designed as part of the program to facilitate trainees to sell their products on a purpose-built website. The training covered different activities ranging from using smartphones, basic product photography to order handling. Even in the initial phase, the challenges were somewhat unexpected for the team as they grappled with diversity of learning among the trainees. Few trainee women were able to learn the skills quickly and requested their trainers from Kaarvan to train them on widely popular skills of social media marketing. At the same time, other trainees were struggling with basic skills and needed more time to get basics right. Because the program had limited resources, Kaarvan’s management found themselves in a fix. The mission-oriented organization wanted to ensure the best possible opportunities for the trainees but the resources did not permit to create separate cohorts for different training areas.

In terms of complexity, this case study is suited for business students enrolled in senior undergraduate, graduate programs and executive MBA programs.

Teaching Notes are available for educators only.

CSS 7: Management Science.

Management: human resources management.

Undergraduate and postgraduate.

This case gives critical insights in the complex issues surrounding the management of employment relationship in Africa, specifically focusing on Botswana. It is set in the context of explosive industrial relations involving Debswana Diamond Mining Company and the Botswana Mine Workers Union over the contentious issues of pay bonus and collective bargaining. Failure to reach an amicable compromise by both parties' results in a debilitating strike which costs the company millions of funds and affected it's the corporate image contrary to its well crafted social responsibility. More painfully, the end game is a loss of employment and dreams shattered for 461 dismissed workers who depended solely on this work as their only source of income.

At the end of reading the case students are expected to: understand the limits of managerial prerogative and the right to manage; appreciate the inherent conflict of interests between labour and capital; consider more equitable compensation schemes in dealing with collective bargaining; and discuss the concept of social responsibility in the context internal customers-employees.

Teaching note.

Discussing statistical error and research design problems and the organizational implications of delivering “good news” at all cost.

This case can be used on basic courses of Public Policy, Marketing Research and Quantitative Methods.

MIDEPLAN on July 2012 showed the results of the CASEN (Caracterización Socio-Económica or Socio-Economical Characterization) survey of 2011. The results showed that poverty was lowered by 0.6 per cent and was greatly highlighted by the media. Opposition coalition and academics started to ask questions about statistical error, which was not yet known. It was revealed that the government asked Comisión Económica para América Latina y el Caribe (CEPAL), a public organization dependent on the United Nations (UN) that was helping Chile to manage the CASEN survey, to review the results and incorporate a variable “y11,” but academics questioned it due to comparability reasons. The statistical error was revealed and it was 0.8 per cent. On October 2012, CEPAL decided to stop helping Chilean institutions.

The key analysis and conclusions which should arise as a result of teaching this case are: The relevance of the statistical error as a key component of research to evaluate data; the importance of fully implementing research design and accuracy of every step to reach valid results; analyze and discuss organizational implications of delivering “good news” at all cost.

Teaching Notes are available for educators only. Please contact your library to gain login details or email pfarias@unegocios.cl to request teaching notes.

Strategic decision making in cooperation projects. The decision deals with the process of generating a strategy for R&D and technological innovation in developing countries, through international cooperation.

Students of programs of strategic management, business policy and management of international cooperation. Target courses include: strategic management seminars, international cooperation seminars, MBA.

The case shows the process carried out by a team led by Braulio Perez Astray, manager of the innovation department of the Foundation University of A Coruna (Spain) and Radhames Mejia, executive vice-rector of the Pontifical Catholic University Madre y Maestra (Dominican Republic) to design the strategy for R&D and Technological Innovation of the Dominican Republic. It describes the tasks and responsibilities undertaken in the INPOLTEC Project, the result of the international cooperation between Spain and the Dominican Republic. It included the involvement of the Administration of Government of both countries, the contributions of the scientific community and a significant sample of Dominican companies, as well as the advice of Spanish experts and technologists in the field of innovation and technology policy. The case arises from the position of Braulio Perez Astray, leader of the project. The objective of this case is to analyze the potential transfer of this experience to other countries in Central America and Caribbean.

The learning objective is to facilitate students to investigate the decisions in the strategic process in the field of innovation and to reinforce the focus of international cooperation as a mechanism for strategic support in stimulating the flow of knowledge in science and technology.

Teaching notes are available. Please consult the librarian for access.

The learning outcomes are as follows: understand the mechanism of sourcing and allocation of funds in the Indian banking industry; compare financial indicators of Yes bank with the industry average and interpret the hidden stress; understand the role of NPAs in the banking industry and analyze Yes bank’s performance; and identify the possible red signals in the business model of Yes bank.

The case narrated the story of Yes bank which was considered as one of the most promising and rising banks of India. The stock of Yes bank had been the preferred investment choice for many investors because of its outstanding performance in almost all the important parameters of the industry since 2005. Since its inception, investors favored the stock with an assumption that this new generation bank had a unique as well as a sustainable banking model. However, after the year 2016, Reserve Bank of India (Indian central bank and banking regulator) found huge under-reporting of non-performing assets (NPAs) in the three (i.e. 2015–16, 2016–17 and 2018–19) out of its four annual regulatory inspections, casting doubt in the way Yes bank functioned. Risk and aggression seemed to be the two most important aspects of Yes bank’s culture and this case tried to narrate the same through various financial indicators. The ratio comparison with the industry average indicated the possible gray areas of Yes bank, which was once considered as the most promising bank of India. Unfortunately, even the change of guard at the helm of Yes bank did not change the fate of the bank.

MBA/PGDBA/Executive MBA.

Teaching Notes are available for educators only.

CSS 1: Accounting and Finance.

thyssenkrupp Steel Europe, a major European steel company, operates a so-called push-pickling line (PPL) in Bochum, Germany. The PPL produces a particular type of steel strips that are sold to B2B customers, mainly in the automotive industry. In spring 2014, a senior vice president of thyssenkrupp Steel's production operations and one of his production managers notice that over the span of ten years the production facility regularly did not meet its planned production volumes. They set out to determine the drivers for the deviations from planned production figures with the ultimate goal to improve the production planning process at the Bochum PPL. Students will step into the shoes of Markus Schulze a production manager at thyssenkrupp Steel as he searches for performance drivers at the Bochum PPL and analyzes recent production data to build a forecasting model for production planning.

The case of Bertelsmann China: Supply Chain for Books (A) focuses on one the world's leading media companies to illustrate a widespread problem in the supply chain strategy in extremely fast growing markets. Students learn about the basic challenges of supply chain strategy in an international context. The case covers important fields of management theory. Supply chain designs well as cost and performance drivers are revised by the use of frameworks.

After completing this case, students should be able to: identify and compute relevant cash flows in relation to a real estate project and compute the net present value (NPV). Determine the target return or cost of capital (by looking at historical economic indicators). Design or formulate a sensitivity analysis to determine the drivers of the project value. Evaluate real estate and other investments taking qualitative and quantitative factors into consideration. Demonstrate the computation of a break-even rate to determine the minimum or maximum revenue or cost required for a project to be viable.

This case study is about the Golden Beak Securities Pension Fund that wanted to invest in a Hostel Project in one of the universities in Ghana. Most universities in Ghana faced an acute shortage of on-campus accommodation. Also, the Government of Ghana, in 2017, implemented a programme to make Senior High School in Ghana free. This was expected to increase the number of students who will enter the existing universities. The project was therefore seen as strategic, as it would help ease the pressure of on-campus accommodation while providing diversification for the pension fund. As part of the investment committee’s (IC) quest to improve the skill set available to it, especially in relation to real estate investments, Esi Abebrese was appointed as one of the members of the IC of GSB. Her main task was to collect information on key macroeconomic variables, as well as granular information on project costs and revenues and conduct investment appraisal. Esi was scheduled to make a presentation to the IC on the 15th of October 2019 following which the Committee will debate and make a decision. The project had an estimated cost of GH¢52m with a total number of 3,424 student beds and ancillary facilities. Undertaking the project required moving funds from investments in money market securities with one of the banks in Ghana. The investments in the money market securities were currently yielding about 16% a year. The determination of the cost of capital was critical and Esi and Nana eventually settled on a long-term weighted average cost of capital of 14%. This was after considering the trend of inflation, monetary policy rates, treasury rates, stock market returns and a report on returns on commercial real estate properties in Ghana. An exit capitalisation rate of 20% was also estimated for the purposes of determining the value of the property at the end of the investment horizon. Esi also obtained estimates of cost and revenue for the project and proceeded to carry out a feasibility analysis on the project. This consisted of an NPV analysis and sensitivity analysis on various factors to determine the drivers of the project value. The IC had to take several factors (both quantitative and qualitative) into consideration before making a decision. Esi believed that these factors included the diversification of the fund’s assets, the return on investment, potential oversupply of hostel accommodation, the social responsibility of providing student accommodation and the impact of any prolonged shutdown of the university.

Masters/advanced undergraduate.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 1: Accounting and Finance.

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.

Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable competitive advantage (SCA), a long-term competitive advantage that is extremely difficult to duplicate by another firm, when it meets four criteria (i.e. not imitable, are rare, valuable and not substitutable). In the context of this case, we believe there are three sources of SCA to be discussed using RBV – the major league soccer (MLS) team player roster, the use of artificial intelligence (AI) technologies to exploit this roster and the league’s single-entity structure: • MLS players: it has been widely acknowledged that a firm’s human resource talent, which includes professional soccer players (Omondi-Ochieng, 2019), can be a source of SCA. For example, from an RBV perspective, a player on the Los Angeles Galaxy roster: > cannot play for any other team in any other league at the same time (not imitable and are rare), > would already be a competitive player, as he is acquired to play in the highest professional league in the country (valuable) and > it would be almost impossible to find a clone player matching his exact talent characteristic (not substitutable) anywhere else. Of course, the roster mix of players must be managed by a capable coach who is able to exploit these resources and win championships (Szymanski et al., 2019). Therefore, it is the strategic human resource or talent management strategies of the professional soccer team roster that will enable a team to have the potential for an SCA (Maqueira et al., 2019). • Technology: technology can also be considered a source of SCA. However, this has been a source of contention. The argument is that technology is accessible to any firm that can afford to purchase it. Logically, any MLS team (or for that matter any professional soccer team) can acquire or build an AI system. For many observers, the only obvious constraint is financial resources. As we discuss in other parts of the case study, there is a fan-based assumption that what transpired in major league baseball (MLB) may repeat in the MLS. The movie Moneyball promoted the use of sabermetrics in baseball when making talent selection (as opposed to relying exclusively on scouts), which has now evolved into the norm of using technology-centered sports analytics across all MLB teams. In short, where is the advantage when every team uses technology for talent management? However, if that is the case, why are the MLB teams continuing to use AI and now the National Basketball Association (NBA), National Football League (NFL) and National Hockey League are following suit? We believe RBV theorists have already provided early insights: > “the exploitation of physical technology in a firm often involves the use of socially complex firm resources. Several firms may all possess the same physical technology, but only one of these firms may possess the social relations, cultural traditions, etc., to fully exploit this technology to implementing strategies…. and obtain a sustained competitive advantage from exploiting their physical technology more completely than other firms” (Barney, 1991, p. 110). • MLS League Single-Entity Structure: In contrast to other professional soccer leagues, the MLS has one distinct in-built edge – its ownership structure as a single entity, that is as one legal organization. All of the MLS teams are owned by the MLS, but with franchise operators. The centralization of operations provides the MLS with formidable economies of scale such as when investing in AI technologies for teams. Additionally, this ownership structure accords it leverage in negotiations for its inputs such as for player contracts. The MLS is the single employer of all its players, fully paying all salaries except those of the three marquees “designated players.” Collectively, this edge offers the MLS unparalleled fluidity and speed as a league when implementing changes, securing stakeholder buy-ins and adjusting for tailwinds. The “socially complex firm resources” is the unique talent composition of the professional soccer team and most critically its single entity structure. While every team can theoretically purchase an AI technology talent management system, its application entails use across 30 teams with a very different, complex and unique set of player talents. The MLS single-entity structure though is the resource that supplies the stability required for this human-machine (technology) symbioses to be fully accepted by stakeholders such as players and implemented with precision and speed across the entire league. So, there exists the potential for each MLS team (and the MLS as a league) to acquire SCA even when using “generic” AI technology, as long as other complex firm factors come into play.

This case relied on information that was widely reported within media, press interviews by MLS officials, announcements by various organizations, journal articles and publicly available information on MLS. All of the names and positions, in this case, are actual persons.

MLS started as a story of dreaming large and of quixotic adventure. Back in 1990, the founders of the MLS “sold” the league in exchange for the biggest prize in world soccer – the rights to host the 1994 Fédération Internationale de Football Association World Cup before they even wrote up the business plan. Today, the MLS is the highest-level professional men’s soccer league competition in the USA. That is a major achievement in just over 25-years, as the US hosts a large professional sports market. However, MLS has been unable to attract higher broadcasting value for its matches and break into the highest tier of international professional soccer. The key reason is that MLS matches are not deemed high quality content by broadcasters. To achieve higher quality matches requires many inputs such as soccer specific stadiums, growing the fan base, attracting key investors, league integrity and strong governance, all of which MLS has successfully achieved since its inception. However, attracting high quality playing talent is a critical input the MLS does not have because the league has repeatedly cautioned that it cannot afford them yet to ensure long-term financial sustainability. In fact, to guarantee this trade-off, the MLS is one of the only professional soccer leagues with an annual salary cap. So, the question is: how does MLS increase the quality of its matches (content) using relatively low cost (low quality) talent and still be able to demand higher broadcast revenues? One strategy is for the MLS to use AI playing technology to extract higher quality playing performance from its existing talent like other sports leagues have demonstrated, such as the NFL and NBA. To implement such a radical technology-centric strategy with its players requires the MLS to navigate associated issues such as human-machine symbioses, risking fan acceptance and even altering brand valuation.

The case is written and designed for a graduate-level (MBA) class or an upper-level undergraduate class in areas such as contemporary issues in management, human resource management, talent management, strategic management, sports management and sports marketing. The case is suitable for courses that discuss strategy, talent management, human resource management and brand strategy.