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A consulting team to an international food packaging company (SDYesBox) is attempting to decide which algorithm is the most useful for selecting two national markets in Central America and the Caribbean. SDYesBox wants to work closely with its immediate customers – manufacturers in the dairy and food industry and their customers (retailers) – to develop and market innovative products to low-income consumers in emerging markets; the “next big opportunity for the dairy industry” according to SDYesBox.

New product development and market selection in emerging markets in Latin America.

Five algorithms are “on the table” for assessing 14 countries by 12 performance indicators: weighted-benchmarking each country by the country leader's indicator scores; tallying by ignoring indicator weights and selecting the countries having the greatest number of positive standardized scores; applying a conjunctive and lexicographic combination algorithm; and using a “fluency metric” of how quickly consumers can say each country aloud. At least one member of the consulting team is championing one of these five algorithms. Which algorithm do you recommend? Why?

Learners gain skills, insights, and experience in alternative decision tools for evaluating and selecting choices among emerging markets to enter with new products for low-income (bottom of the pyramid) products ands services.

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

This case replaces UVA-M-0837. It can be used in a variety of marketing and strategy classes to understand how (1) at a macro level, a shift in consumer and environmental factors can impact firm strategy and (2) at a micro level, an e-mail-based marketing campaign designed to address these changes can impact firm-level performance.

The case puts the students in the position of CEO Robert Huth as he is preparing for a board meeting. He had taken David's Bridal from a loss in 1996 to sales of over $1 billion by 2011, but he was concerned about future growth. People were waiting longer and longer to get married and, once they decided to, were spending much less than in the past, so the industry had seen year-over-year declines since 2007. How would David's Bridal establish its brand in the minds of a new generation of brides who shopped, purchased, and decided differently than had brides in past generations?

The case is designed to be used with the digital business model framework developed by Peter Weill and Stephanie Woerner of Massachusetts Institute of Technology (MIT) (Weill and Woerner, 2015) and is referred to as the W & W framework. This approach provides a useful structure for thinking through the strategic options facing environments ripe for digital transformation.

Research for this case was conducted through face-to-face interviews with the protagonist, as well as through a review of their business planning documents and other data and documentation provided by the founder. Some of the market and industry data were obtained using secondary research and industry reports. Interviews were digitally recorded and transcribed to ensure accuracy.

The case follows the story of Kurt Waltenbaugh, a Minnesota entrepreneur who shared the dream of using data analytics to reduce costs within the US health-care system. In early 2014, Waltenbaugh and a physician colleague founded Carrot Health to bring together their personal experience and expertise in both consumer data analytics and health care. From the beginning, they focused on how to use data analytics to help identify high-risk/high-cost patients who had not yet sought medical treatment. They believed that they could use these insights to encourage early medical interventions and, as a result, lower the long-term cost of care.

Carrot’s initial success found them in a consultative role, working on behalf of insurance companies. Through this work, they honed their capabilities by helping their clients combine existing claims data with external consumer behavioral data to identify new potential customers. These initial consulting contracts gave Carrot the opportunity to develop its analytic tools, business model and, importantly, to earn some much-needed cash flow during the start-up phase. However, they also learned that, while insurance companies were willing to purchase data insights for one-off market expansion projects, it was much more difficult to motivate them to use data proactively to eliminate costs on an ongoing basis. Waltenbaugh believed that Carrot’s greatest potential lay in their ability to develop predictive models of health outcomes, and this case explores Carrot’s journey through strategic decisions and company transformation.

This case is intended for either an undergraduate or graduate course on entrepreneurial strategy. It provides an effective introduction to the unique structure and constraints which apply to an innovative start-up within the health-care industry. The case also serves as a platform to explore the critical criteria to be considered when developing a digital transformation strategy and exposing students to the digital business model developed by Weill and Woerner (2015) at MIT (referred to in this instructor’s manual as the W&W framework). The case was written to be used in an advanced strategy Master of Business Administration (MBA) class, an undergraduate specialty health-care course or as part of a health-care concentration in a regular MBA, Master of Health Care Administration (MHA) or Master of Public Health (MPH). It may be taught toward the end of a course on business strategy when students are building on generic strategy frameworks and adapting their strategic thinking to the characteristics of specific industries or sectors. However, the case can also be taught as part of a course on health-care innovation in which case it also serves well as an introduction to the health-care payments and insurance system in the USA. Finally, the case can be used in a specialized course on digital transformation strategy in which case it serves as an introduction to the MIT W&W framework.

The case is particularly well-suited to students who are familiar with traditional frameworks for business strategy and business models. The analysis builds on this knowledge and introduces students interested in learning about the opportunities and challenges of digital strategy. Equally, the case works well for students with clinical backgrounds, who are interested in how business strategy can influence changes within the health-care sphere. Finally, an important aspect of the case design was to develop students’ analytical confidence by encouraging them to “get their hands dirty” and to carry out some basic exploratory data analytics themselves. As such, the case requires students to combine and correlate data and to experience the potentially powerful combination of clinical and consumer data. Instructors should find that the insights from these activities give students unique insights into the potential for of data analytics to move health care from a reactive/treatment ethos to a proactive/intervention ethos. This experience can be particularly revealing for students with clinical backgrounds who may initially be resistant to the use of clinical data by commercial organizations.

After reading and discussing the case study, students should be able to identify the reasons why the company needed to digitise and how this links to the company’s strategy around technology and innovation, analyse the digitalisation implementation process followed in the case study by using an organisational change management model and make recommendations and propose a solution for the protagonist to consider for the successful roll-out of the digitalisation project.

DRA Projects is part of the DRA Global business based in South Africa. The company is known locally in the mining and engineering industry for its project development, delivery, execution and operations capabilities. Digital transformation is a key strategic focus in the industry, as clients seek digitised integrated systems. For this client offering, J.C. Heslinga, managing director of DRA Projects, was tasked with leading the digitalisation of the project delivery system. From July 2020 until July 2022, Heslinga led the implementation team through different organisational change stages. As the next phase included rolling out digitalisation to pilot projects and engaging employees and clients in the new process, Heslinga wondered if enough was done to ready the business for this change. The end users would be executing the changes, so their adoption will be imperative for successfully rolling out digitalisation. The case study concludes with Heslinga pondering the approach needed for the next phase. The case study focuses on the digitalisation implementation process through the lens of organisational change. The case study presents an opportunity to analyse and identify the theories and models used in organisational change within a real-life business context. The organisational change learnings can be adapted to help students with any transformation changes in similar business scenarios.

Postgraduate- and master’s-level students and business executives attending short courses will benefit from the learnings. The learnings can be applied to improve decision-making, organisational behaviour and strategic implementation using the fundamental principles of organisational change.

Teaching notes are available for educators only.

CSS 6: Human resource management

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

This case is intended for courses in strategic management, entrepreneurship and innovation at the undergraduate or postgraduate level.

The case is about challenges faced by Linda Portnoff, the Co-founder and Chief Executive Officer of Riteband, a Sweden-based fintech startup. In March 2020, Portnoff was conducting beta testing of Riteband’s app, which experts considered the world’s first stock exchange for music trading. After completing a PhD, Portnoff who was working as a Research Analyst, left her job to pursue entrepreneurship. Through Riteband, Portnoff helped to resolve pain points of artists who were forced to give the copyright of their music tracks or albums to distributors, in lieu of funds or promotional campaigns that distributors arranged for them. Portnoff invested in developing a patent-pending machine learning-based algorithm that based on several parameters could predict the likelihood of a music track or an album to become a success. Based on this prediction and royalty that artists were interested in sharing with fans, shares were issued to investors, who were also fans of the artists. As Portnoff identified an innovative business opportunity to trade music on a stock exchange based on Riteband’s machine learning algorithm, competition in Riteband’s strategic group was also becoming intense. Consequently, Portnoff was facing challenges of establishing competitive advantage of Riteband. Furthermore, as women in general faced challenges in raising funds for their startups, and even though Portnoff obtained some funding for Riteband, but overall, funding was a challenge for her as well. Moreover, as machine learning was a technical aspect for artists and potential investors, Portnoff also faced challenges to monetize on its machine learning algorithm.

By the end of the case study discussion, students should be able to: understand the principles of cross-industry innovation and explain the creation of new business opportunities based on cross-industry innovation; differentiate between direct and indirect competitors through strategic group analysis and further critically analyze the competitive advantage of business over other direct competitors; determine ways of reducing gender biases in venture capital funding; describe how machine learning works and further formulate ways to monetize a business through machine learning; and demonstrate the application of the value proposition canvas and business model canvas.

CSS 3: Entrepreneurship; CSS 11: Strategy.

The learning outcomes are as follows: to assess the competitive position of a small business-to-business (B2B) company to remain competitive in a developing country; to identify and shape the business opportunity that represents serving small and medium enterprises that would lead to competitive positioning in the B2B environment; and to compare innovation and commercialization projects through strategic dimensions related to managing a technology company in a way that fosters business profitability and growth.

Margarita Kaplun, founder and CEO of Kapter, a small company providing country-wide technical and consultant services on thermography to industrial hubs in Mexico, had positioned the company as a reputed provider. However, the company had experienced razor-thin margins. Margarita needs to decide whether they pursue the following grant to fund a project on technology development that will source the competitive position or pursue a commercial project that help them achieve a larger customer base to reap higher income.

The case is oriented for an undergraduate audience, attending entrepreneurship, innovation and industrial organization courses. It depicts issues of technology-based entrepreneurship and is suitable for students in business, management and engineering.

Teaching notes are available for educators only.

CSS 11: Strategy.

This compact case provides a relatively large data set that students explore using visualization and a Tableau dynamic dashboard that they create. Students were asked to describe what the data set contained in relation to employee attrition experience of Baca Beverage Distributors (BBD). The application and managerial questions are set in human resources and a company that is facing high attrition during the pandemic.

BBD shared their data and problem scenario for this compact case. The protagonist, Morgan Matthews, was the authors’ contact and provided significant clarification and guidance about the data. Both the company and the protagonist have been disguised. Some of the job positions have been rephrased. All names of employees, supervisors and managers have been replaced with codes.

During the 2020–2022 pandemic years, BBD experienced, like many companies, a higher than usual employee turnover rate and Morgan Matthews, Director of People, was concerned. Not only was it time-consuming, expensive and disruptive but the company had prided itself on being a good place to work. Were they hiring the right people, people that fit the company culture and people that fit the positions for which they were hired? The company had been using the Predictive Index [1] when on-boarding employees. In addition, there were results from self-reviews and manager reviews that could be used. Morgan wondered if data visualization and visual analytics would be useful in describing their employees and whether it would reveal any opportunities to improve the turnover rate. Before seeking a solution for the high turnover, it was important to step back and learn what the data said about who was leaving and the reasons they gave for leaving.

This compact case can be used in courses that include visualization using Tableau and dashboards. As it is a compact case, it requires less preparation time from the students and less class time for discussion. The case is for students who have been recently introduced to business analytics, specifically visualization and data storytelling with Tableau. For this reason, significant guidance has been provided in the case assignment. The level of the case can be adjusted by the amount of guidance provided in the case assignment. Courses include introduction to business analytics, descriptive analytics and visualization, communication through data storytelling. The case can be used for all modalities – in person, hybrid, online. The authors use it here for visualization and dynamic dashboards but using the same data set and compact case description, exploratory data analysis could be assigned.

Supplementary material for this article can be found online.

After discussing this case, students will be able to understand the challenges faced by social entrepreneurs in starting a health-tech start-up in Africa; create and evaluate lean business models of health-tech companies as a social enterprise; evaluate how health-tech start-ups were developing innovative business models and supply chain networks to make prescription drugs accessible and available in Africa; understand how inorganic growth strategies can help health-tech start-ups scale up; and evaluate what promises investors were seeing while investing in social enterprises in the health-care sector in Africa and what social wealth they were creating.

In August 2022, Gregory Rockson (Rockson), social entrepreneur and founder of for-profit health technology (health-tech) social enterprise in Ghana, mPharma, stated that he had plans to replicate the company’s business model, which provided people access to drugs and at affordable prices, to other African nations, beyond the company’s existing footprint. However, analysts pointed out that the fragmented drug supply chain and poor regulation in the health-care market across Africa could act as a challenge for mPharma to replicate its business model successfully across the African continent. People in Africa were forced to pay higher prices to buy life-saving drugs due to the continent’s fragmented drug supply chain. To add to their woes, pharmacies struggled to keep life-saving and life-sustaining medicines in stock. Often, patients traveled miles to a pharmacy only to find out that the drugs they needed were not in stock. In addition to this, the markets were flooded with counterfeit drugs. And the Covid-19 pandemic only exacerbated the situation. mPharma managed the prescription drug inventory for pharmacies and drug suppliers using its proprietary vendor management information system. By using the technology infrastructure it had built, the company connected patients, pharmacies and hospitals through a cloud-based software. The system enabled doctors to track in real-time which drugs were available and at which location, thus giving patients reliable access to medicines. Patients registering with mPharma with their prescriptions and medical history received an alert on their mobile phones notifying them where the drugs they needed were available. mPharma bought drugs from major drug manufacturers such as Novartis International AG, Pfizer Inc. (Pfizer) and Bayer AG, on behalf of the pharmacies. This enabled the pharmacies to save on the up-front costs of stocking the drugs, reduced supply constraints and ensured availability of drugs to consumers in these underserved markets. The company had a consignment model wherein member pharmacies had to pay only for what they sold. Most pharmacies forecast the number of drugs they needed and purchased them from mPharma at pre-agreed rates. The company took the inventory liability to prevent pharmacies from going out of stock. As mPharma used its purchasing power to buy drugs in large quantities from drug manufacturers and suppliers, it was able to help patients realize cost savings of 30% to 60% in the purchase of medicines. mPharma was focusing on achieving its ambitious goal of dominating the health-care market in Africa in future. However, analysts felt that the company would face challenges related to poor regulation in the health-care market, high prices of drugs and the fragmented pharmacy retail market in the continent.

This case is intended for use in MBA/MS level programs as part of a course on Social Entrepreneurship, Sustainability, Business Model Innovation, Disruptive Business Models, and Supply Chain Management in the Drug Industry.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

LifeBank is primarily focused on tackling the challenge of maternal mortality in Nigeria and other African countries by providing women access to blood, thereby tackling the challenge of gender inequality. The company employed both men and women at its workplace providing equal opportunities for men and women.

Discuss how women entrepreneurs are solving social problems in developing countries using technology and innovation.

Analyze the challenges faced by women entrepreneurs in getting the right human capital, raising funds and managing growth for their social business.

The case discusses how social entrepreneur Temie Giwa-Tubosun (Temie) founded LifeBank, a medical distribution company, to provide access to blood, medical oxygen and vaccines to hospitals in Nigeria. The company used technology to provide information to health providers about which blood bank stored the blood type they needed and delivered it quickly and safely to help save lives.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

After a successful transition from a projects-based IT business services company to a platform-driven analytics company, Saama's core leadership team gathered in 2017 to brainstorm the next phase of its growth. The year before, the team had decided to narrow its target market to the life sciences vertical. Saama now had to decide how to execute on this focused strategy by choosing a growth pathway within the life sciences vertical. Saama's leadership team was considering three alternatives: acquiring new customer accounts, developing existing customer accounts, or developing new products by harnessing artificial intelligence (AI) and blockchain technologies. The team had to evaluate these growth pathways in terms of both short- and long-term revenue potential, as well as their potential for sustaining Saama's competitive advantage.