Search results

Susan works for a small S-Corporation that is experiencing issues with its incentive program. Specifically, employees find that the company's incentive program is rather ambiguous and confusing. Susan is in a position to do something about it but she is not sure what to do. Students are challenged to design an incentive program for the small company. This case exercise is appropriate for undergraduate students in Organizational Behavior or Management courses and should coincide with discussions of motivation and employee incentives. This case is based on the author's personal experiences.

The Congregation of the Blessed Virgin Mary (CBVM), a Catholic order founded in the early 1800s, was faced with a series of strategic concerns, including an aging clerical population, a changing laity, reduced finances, very limited vocations, and an evolving mission. Some of these concerns faced the Catholic Church in America as a whole (including sexual abuse, not discussed in this case) and several of these issues were also facing the Catholic Church worldwide. The serious matters facing them were threatening the continued viability of the order in America, and the guidance they were receiving from Rome - instruction to decide which of three suggested models for restructuring they would adopt - seemed to back them into a corner, requiring selection from among several strategies not devised by their membership and commitment to the selected strategy going forward. Change was necessary, but one of the major concerns of the order was that it remain consistent with its stated mission while adapting to a new environment and “operating system.” Their decisions were driven by Rome, but the decisions were not made by Rome; the CBVM was as autonomous in its decision-making as any decentralized international organization.

This case study is based on an MBA team's experience in analyzing a scrap metal recycling business and developing recommendations to improve the performance of the business. The company, Steel City Salvage, has three locations which are managed as separate business entities. The case focuses on the business repercussions of the poor integration across the three locations, and the team's choice of options to improve the integration. These options include changes in organizational structure, processes or culture/leadership style. The case allows students to see how their own experience and education may bias their selection of a preferred option.

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