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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.

The case revolves around a marketing/sales executive who works in the Ad Sales wing of a popular search engine. Over the course of the case, the protagonist realizes that their marketing strategy needs to refocus on a different vertical than the one they have been paying the most attention to. He had done the required data analysis and feels the data strongly points to a need for change in their strategy. However, he needs to convincing the higher management by put together a compelling pitch using storytelling elements, so that the message in his data gets across clearly, compelling them to act.

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

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 reviews the development of Dianping. After seeing Zagat's unique business model in the United States, founder Zhang Tao found that he could bring it to China and bring about local innovation. At the beginning of its establishment, the collection and promotion of comment content was the major challenge for Dianping. At the same time, Dianping faced legal issues. To solve these problems, the review mechanism of Dianping was designed to a certain extent to ensure the fairness of the review. With the advent of the mobile Internet era, Dianping began to develop a new business model. Relying on its high-quality “word-of-mouth” content and mass basis, Dianping launched group buying, online restaurant ordering, and other businesses. Dianping has always been open to strategic partners. Since 2015, Dianping has undergone historical changes, merging with Meituan. Since then, Dianping has continuously adjusted its business and organizational structure to maintain its competitiveness. Gradually, Dianping has changed from an independent business entity into a business unit of Meituan.

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.

The tech giants Alibaba and Tencent compete on many fronts. This case focuses on three areas where they have competed very hard: new retailing, mobile payment, and ride-hailing. At the beginning of 2018, Alibaba and Tencent were gathering retail investments in bids to battle each other for shoppers' digital wallets. Key to the battle is China's mobile payment market, worth more than 200 trillion RMB, where Alibaba and Tencent are going head to head. The giants are not only directly competing in the payment platform area but also extensively fighting in other areas, such as ride-hailing, where they invested in and supported Didi and Kuaidi, respectively. To enhance understanding, this case also briefly goes through the history of the two giants. The purposes, methods, and consequences of their platform competition deserve an in-depth discussion

After completion of the case study, the students will be able to understand the calculation of cost of individual sources of funds and cost of capital, examine various tools such as economic value added and cash value added analyses which help determining whether a company has added value to its shareholders or not and explore the application of Benford’s law and the Beneish M-score in detecting manipulation of numbers in financial statements.

Nimmy Jacob, a newly recruited research analyst with an equity research firm, was entrusted with tracking the “auto ancillary industry”, specifically “Minda Corporation Ltd” (MIL). MIL was a leading diversified auto components manufacturing companies in India. The company’s share price meteorically rose during February 2021–2022 (Figure 1). The company’s turnover over the past few years had grown at a compounded annual growth rate of 15% during the three preceding years. The company had in the recent past bought a 15% stake in another competitor, Pricol Ltd, for a consideration of INR 400 crores and previously had used joint ventures and acquisitions to scale up its operations. Jacob, apart from the conventional financial analysis, had to ascertain whether all the strategic decisions were adding value to the shareholders’ investments by exploring the various tools available for the same and also calculate the minimum expected rate of return for MIL. Jacob was apprehensive about the financial statements, although the numbers for the company were good. Jacob was skeptical about a high-growth company having the incentive to manipulate its earnings. Manipulations could be in the form of abnormal increase in accruals, inconsistency in expenses and high days of receivables. Therefore, Jacobs used certain analytics/statistical tools to detect any manipulation of numbers in the financial statements of the company and to ascertain apt findings about the company.

This case study is intended for discussion in corporate finance, financial reporting and analysis and financial analytics at Master of Business Administration/undergraduate level.

Teaching notes are available for educators only.

CSS1: Accounting and finance

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

The case study will help improve systemic gender-related challenges for women in STEM, male-dominated nontraditional workplaces, such as mining, and contribute to CASE FOR WOMEN database of women-centered business teaching cases.

The learning objectives are as follows: discuss gender issues in nontraditional science, technology, engineering, mathematics (STEM)–related male-dominated industries; conduct a strategic competitive strengths and weaknesses, the opportunities and threats analysis and political, economic, social, technological, legal and environmental analysis; evaluate relevant information and decision criteria to assess the options; provide recommendations for strengthening vision mission and strategy; and analyze the business model using the Business Model Canvas.

Alicia Woods (she/her), founder of Covergalls Inc., was facing an unexpected challenge during the COVID-19 worldwide pandemic restrictions and lockdowns which had created an unprecedented disruption to her business. Should Covergalls continue on its current path, or was it time to branch out?

This case is suitable for diversity, equality and inclusion, strategic management, entrepreneurship, marketing or leadership courses at the undergraduate BBA and graduate MBA level on campus or online.

Teaching notes are available for educators only.

CCS 3: Entrepreneurship.