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1 – 3 of 3The author employed a five-step approach: Data (e.g., qualitative primary and secondary data) collection (about a major project at the examined organisation), Critical thinking…
Abstract
Research methodology
The author employed a five-step approach: Data (e.g., qualitative primary and secondary data) collection (about a major project at the examined organisation), Critical thinking (in order to determine the dilemma), Setting learning objectives (e.g., with respect to the Bloom's taxonomy), Testing (in order to confirm the teaching plan) (e.g., with research assistants and doctoral candidates), and Ensuring clarity (e.g., especially for the case narrative).
Case overview/synopsis
The site manager at a UNESCO World Heritage Site by the name Ephesus in Türkiye (Turkey) was considering who would update the site management plan. UNESCO was regularly asking for updates. Would site management outsource the management plan from a firm? For example, the site management had had an outside firm develop the management plan and Ephesus had become a UNESCO World Heritage Site. Otherwise, would the site management rely on their own experience this time? Was there another way?
Complexity academic level
The educators could use the case study to introduce graduate students to “the value conception” in “marketing management” courses and to “the social exchange school of thought” in “marketing theory” courses. The learning objectives develop over the tension between owning and outsourcing main responsibilities of a scientific field as well as the tension between claims and objective evaluations. “The value conception” in “the social exchange school of thought” could improve planning in favour of humanity in a way that the United Nations could recognise (e.g., “value-based planning”). Corresponding discussions motivate a main question about the future: What is marketing for?
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Keywords
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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Keywords
Organizational restructuring strategy such as downsizing and rightsizing and their effects on organizational performance.
Abstract
Subject area
Organizational restructuring strategy such as downsizing and rightsizing and their effects on organizational performance.
Study level/applicability
The case can be taught to graduate students of a business administration program for change management or human resources management courses.
Case overview
The case discusses a structural change strategy followed by a crisis management situation of a Pakistani state-owned enterprise with hierarchical structures, unclear work roles and workplace corruption and its shift toward a profitable company with rebranded mission and values. With the management takeover by the Abraaj Group, several issues were identified as major blocks to K-ELECTRIC’s performance. Drastic changes included information technology advancement, investment in infrastructure of generation capacity, marketing campaigns and corporate social responsibility initiatives with a record profit in 2011-2012, for the first time in 17 years. But, the greatest challenge to quality service and profitability was faced by the human resources department, to retrench 4,459 workers by offering a voluntary separation scheme to non-core management staff in 2009. However, disregarding the successful impact on business performance, only 300 workers (approximately) had accepted the package in early 2010, while the rest questioned the decision of outsourcing non-core jobs and demanded reinstatement with the company, followed by a series of protests in January 2010. K-ELECTRIC needed to make some sensitive and timely decisions to ensure efficient and quality service to its customers as its top agenda.
Expected learning outcomes
The outcomes include: to understand the challenges faced by a recently privatized public utility service to become lean and efficient without compromising on its public mission of providing electricity to the residents of the city; to analyze the factors that influence choice of restructuring strategies and their effects on the employment relationship and organizational performance; to recognize the critical role of leadership in choosing a voluntary downsizing strategy and analyzing the sense of urgency needed to execute the decision; and to recognize the role of legal and organizational consultancy needed in critical decision-making to prevent workplace violence.
Supplementary materials
Teaching notes and teaching guide.
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