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1 – 3 of 3Xiaojia Guo, Hao Chen and Peng Jiang
This case describes a real-time crisis experienced by the co-founder (Mr Yang) of a multi-national Chinese company operating in Vietnam during the 2014 Vietnam riot. After the…
Abstract
Subject area
This case describes a real-time crisis experienced by the co-founder (Mr Yang) of a multi-national Chinese company operating in Vietnam during the 2014 Vietnam riot. After the strike broke out, Mr Yang made several critical decisions to protect and save both his factory and employees.
Study level/applicability
This case is applicable to graduate-level management courses such as: Business ethics, Decision-making, Business Communication and Cross-Cultural Management. Students should have some knowledge in Decision-Making concepts (e.g. “bounded rationality”); in Cross-Cultural Management concepts (e.g. “culture norms”); and in Strategic management theory such as “institution-based view” (e.g. formal vs informal institutions).
Case overview
Part A of the case introduces the main character (Mr Yang) and his factory in Vietnam, the escalation of the strike and the course of the crisis. It also elaborates the important critical decisions Mr Yang made to save both his factory and employees. Part B of the case describes the rescue of Mr Yang and his Chinese employees, his actions after the crisis and strategic positioning in future business. Part C of the case introduces the aftermath of the riot and Mr Yang's reflection regarding the crisis.
Expected learning outcomes
The instructors may emphasize different learning objectives in different courses. Business Ethics: help the students learn to recognize, clarify, speak and act on their values when conflicts arise. Decision-Making: helps the students understand the logic of sense-making in crisis and the concept of bounded rationality. Business Communication: helps the students learn to raise issues in an effective manner and learn to deliver their own responses effectively. Cross-Cultural Management: helps the students identify and analyze the many ways in which managers can voice and implement their values in the face of critical moments in a different cultural environment.
Supplementary materials
Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
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Jasmin Lin, Qin Yang and Marcel C. Minutolo
This case study was built from secondary data such as news articles and videos. Several drafts of the case study with teaching note were tested in classroom settings and shared at…
Abstract
Research methodology
This case study was built from secondary data such as news articles and videos. Several drafts of the case study with teaching note were tested in classroom settings and shared at a case writing conference. The case was revised based on feedback from students and roundtable discussions from the conference.
Case overview/synopsis
“What’s next: Ever Given after the Suez Canal incident (Evergreen Marine Corporation in, 2022)” explores the situation of the firm Evergreen Marine Corporation, a world-leading cargo shipping company headquartered in Taiwan, and its efforts to deal with challenges stemming from a pandemic and the global supply chain transition. The case provides background on the latest changes in global business environments, the Suez Canal Incident stemming from the grounding of Ever Given and firm-specific information, which would help students to understand the context affecting Evergreen Marine Corporation’s (EMC) strategic decisions. The case enables students to evaluate EMC’s overall position and to analyze the actions that they can take to deal with these challenges in a dynamic global environment.
Complexity academic level
This case would be appropriate for a course in strategy or international business, especially with the topic of international supply chain management.
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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;…
Abstract
Learning outcomes
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.
Case overview/synopsis
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.
Complexity academic level
This case is meant for MBA students.
Social implications
Teaching Notes are available for educators only.
Subject code
CCS 11: Strategy
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