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This case uses two key theoretical notions for discussion and analysis: Policy-trade off model by Deborah Stone is adapted to the context of decision-making during the cyclone warning [Stone, Deborah. Policy Paradox: The Art of Political Decision-Making. Third, New York: W.W. Norton & Co, 2012.]. The critical success factors in disaster response- John R. Harrald’s five-stage framework is applied to analyse Case B. [Harrald, John R. “Agility and Discipline: Critical Success Factors for Disaster Response:” The ANNALS of the American Academy of Political and Social Science, 8 September 2016. https://doi.org/10.1177/0002716205285404.].

This case is written with the information collected through interviews, over three months from March 2020, with Ms Ranjana Chopra (Indian Administrative Services), a senior civil servant working for the Government of Odisha, who was associated with the event in the case. Secondary sources, including newspaper reports and meteorological bulletins from the Indian Meteorological Department, is also made use of.

Anupama Gowda was the District Magistrate of Kalinga in the state of Odisha, in the Eastern coast of the Indian peninsula. In April 2019, when the meteorological department issued a cyclone warning, she had to take a call on how to go ahead. Her team did not seem too enthused as Kalinga was away from the coast and meteorological warnings were taken as routine. The case discusses Gowda’s dilemma on whether to push for full-fledged preparations or a limited preparation at least or leave it laissez-faire. She made the decision by 24th April and “what happened” serve as Case B.

This case is intended to cover two key competencies: decision-making in ambiguity for public service professionals or bureaucrats and disaster response within a limited time period and resources. This case is useful for undergraduate-level foundational courses with decision-making under ambiguity as a component; in management, public policy and public administration disciplines. Executive training or short-term courses for early-career public service professionals (with no solid background in management/policy theory) on decision-making at the local administration level.

The decade from 2000 until 2010 was a turbulent time for Toyota Motor Company. The carmaker came under significant criticism from the United States government, consumers throughout the world, and media critics amid allegations of poor quality control and vehicle safety concerns. Problems with accelerators and brake systems were found on several of its most popular models, a situation initially exacerbated by the slow and somewhat tentative response from top management. Toyota was accused of not addressing early warning signs that appeared several years before the crisis received intense negative publicity. Toyota struggled to retain the confidence of consumers and governmental regulators, eventually recalling approximately eight million automobiles.

The learning outcomes are as follows: to be able to evaluate early warning signs/red flags through financial statement analysis; to be able to analyse company’s credit or debt servicing using a thorough process of fundamental analysis; to be able to analyse and decode the financial health of an organization through different financial tools applicable according to the industry such as default probability and financial ratios; and to be able to synthesize credit rating framework and role of credit rating agencies in the bond market.

In late January 2019, the allegation by an online investigative portal about the misuse of the Dewan Housing Finance Corporation Ltd. (DHFL) money by its promoter for buying asset abroad was the start of the fall of the non-banking finance company giant. This was followed by a series of downgrade by credit rating agencies on its debt and eventual default on its interest payment on 4 June 2019 which upset multiple portfolio investors and the regulators. Investors became sceptical about the regulator’s policy and inefficiencies of credit rating agencies in predicting the default along with asset management houses which were expected to guard investors’ interest. One investor, Shikhar Pachori, decided to scrutinize all hidden information on DHFL to investigate if DHFL crisis arises because of unknown factors which was not in control of management or if it a clear negligence on the part of all involved parties. The case tries to emphasize the aspect of Asset-Liability Management and process of credit analysis while looking for red flags which aids in identifying any stress in company’s financial or any potential default by company.

This case can be used in the advance level of post-graduate finance course or MBA program for elective/specialization courses such as Financial Statement Analysis, Financial Institutions and Market and Fixed Income.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance

Sara Lee Corporation's acquisition binge in the 1980s and 1990s left the company with a portfolio of vastly different businesses operating independently of one another. It had experienced rapid top-line growth, but at the same time cash flows had declined. Sara Lee ignored both internal and external warning signs until a major transformation plan became necessary. This case examines the company's multiple turnaround attempts. The learning objective of the case is to analyze “early stage” turnaround efforts by examining how the company found itself in decline, evaluating its attempts to improve its performance, and assessing the turnaround plan.

(1) Learn to identify a specific challenging moment when reading and analyzing a turnaround plan; (2) address the implementation problems of an early stage turnaround and discuss exit options; (3) evaluate when a change of long-held beliefs and decades-long strategy by a company is warranted; (4) evaluate Sara Lee's marketing strategies in light of the disappointed retail and wholesale customers; and (5) show the similarities in traits between turnaround managers and high-growth entrepreneurs.

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.

In China, supply chain finance (SCF) has gradually emerged as a new service for the retail industry. This case systematically discusses how JD conducts product design and risk control of supply chain finance and related financial services, and analyze the impact of supply chain finance on JD's retail operations. The case also analyzes the relationship between JD supply chain finance and traditional financial institutions, and explore the future development of retail supply chain finance.

This case presents some of the entrepreneurial challenges faced by a female leader in the technology sector who conceived a new product based on her passion to help others especially those most disadvantaged.

Upon completion of this case study, students should be able to prepare supply chain and distribution analysis that considers ethics and sustainability, integrate philanthropic efforts as part of an organizational strategy and recognize strategies to promote equity within and beyond an organization.

Connie Stacey (she/her) is an entrepreneur and president of Growing Greener Innovations, an award-winning battery energy storage company based in Alberta, Canada, with a mission to end energy poverty globally. With the emergence of COVID-19 as a global pandemic in 2020, Stacey turned her attention to an innovation called Project Rescue, a ventilator that uses non-identifying patient vitals to track data. It serves as a pandemic early warning system, addressing two key challenges: pandemic data are prone to error, and real-time information is non-existent after the pandemic has spread. This new product was conceived based on her passion to help others, especially those most disadvantaged. This multi-faceted case focuses on the many challenges that Stacey and her team needed to address. The dilemma in this case centres on establishing supply chains amid a pandemic, as well as prioritizing the corporate social responsibility elements of philanthropy and equity within her organization (and beyond).

This case is appropriate for third- or fourth-year undergraduate or graduate-level students.

In addition to “call out boxes” throughout the case and teaching note, additional readings/links/videos are outlined below. (These supplementary materials, “Teaching Tips”, are included in the teaching notes as well.)

CCS 11: Strategy.

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy

Middleby Corporation was a designer and manufacturer of commercial food processing and food service equipment for fast food as well as high-end restaurants. During the latter half of the 1990s, Middleby became increasingly unfocused as its number of product lines increased dramatically. Margins and sales slipped. At the same time, some of the company's high-profile product development initiatives ended in failure. Although Middleby's top management recognized some of these apparent warning signs, rather than take action, they seemed eager to blame the disappointing results solely on the company's overseas operations. This inaction caused Middleby's financial performance to deteriorate further, resulting in violations of its loan covenants. To finally correct the situation, Selim Bassoul was moved from his role as general manager of Middleby's Southbend plant up to chief operating officer for the entire corporation. Bassoul had taken the underperforming Southbend plant and turned it into a star performer, correcting and improving customer service, operations, and finances and establishing a clear strategic direction. Bassoul had to craft a turnaround plan for the entire company in the areas of strategy, operations, and finance. He cut the number of products substantially, fired some key customers after a customer profitability analysis, and focused product development on innovative products that saved Middleby's customers time and money. Following these changes and others, the company returned to profitability and Bassoul was named CEO. Bassoul then decided to present a major acquisition opportunity to the board of directors.

1. Successful turnarounds require three essential elements to be addressed: strategy, finance, and operations, all under the CEO's leadership. Students will learn how each element alone and in combination work to make a successful turnaround. 2. Students will learn turnaround leadership skills and see their parallel as entrepreneurial leadership skills. 3. Students will learn that decisions on products, customers, and employee motivation all affect a turnaround strategy.

This case was developed from secondary sources. The secondary sources included company websites, social media and news reports. This case has been classroom tested in multiple executive master of business administration (MBA) courses on business model innovation and entrepreneurship.

The case traces the entrepreneurial journey of Dozee, a remote patient monitoring system in India. Dozee was manufactured by Turtle Shell Technologies Private Limited, cofounded by Mudit and Gaurav. The primary customers of Dozee’s offering were households with elderly citizens and health-conscious individuals who sought preventive health care. The cofounders identified the unmet need for a convenient and user-friendly contactless health tracker. Dozee team built a thin sensor-embedded sheet and module that can be placed beneath the mattress to track sleep patterns and health vitals. They also provided data analysis and data interpretation services. After four years of conceptualization, Dozee launched its product and service in 2019. Although the initial response was lukewarm, the onset of the COVID-19 crisis led to significant changes in the health-care industry. Demand for virtual assistance and contactless monitoring devices became increasingly important elements of COVID-19 treatment. Unlike other sensor-based fitness trackers, the sheet could be easily placed under the patient’s bed to capture health vitals. Choosing to pivot from a home-based individual customer segment to a medical-grade device provider for hospitals could significantly increase the scale and scope of the offering for Dozee, but it would also place Dozee in direct competition with other health monitoring devices from different business categories.

This case is appropriate for MBA and executive-level courses related to entrepreneurship and business model innovation. The case explores issues such as digital disruption and how start-ups can design a go-to-market strategy. The case works well in the classroom, even if people are unfamiliar with the health-care industry. Participants can certainly relate to the concept of adopting artificial intelligence–enabled devices for monitoring their health. The instructor should be able to quickly engage participants in a lively discussion about Dozee’s vision and the opportunities and challenges in adopting digital solutions in health care.