Search results

In this case, lessons from the Chicago Benchmarking Collaborative illustrate key principles of collaborative action and the importance of using data to achieve SMART goals.

In 2015, the Chicago Benchmarking Collaborative (CBC) was a network of seven agencies in Chicago, Illinois, serving 12,000 low-income residents. Each of the agencies had early childhood, school-age children, and adult education programs. At the prompting of the Chicago Community Trust, they came together to (1) benchmark their education programs outputs and outcomes; (2) learn and share best practices through developing a common set of metrics and measurements and implementing these measurements into a case management software system; and (3) share the costs of the case management software system to be used for program evaluation and continuous quality improvement.

Three aspects of CBC are particularly noteworthy. First, there are no joint program activities or clients among these agencies. Their exchange is limited to sharing data and other information. This makes CBC distinct from collaborations formed to begin a program or to advocate for a policy. Second, the group requires each agency to enter data on a timely basis and to set SMART goals based on the data reports. The agencies are held mutually accountable for their work to achieve their own SMART goals during the year and report on progress. Third, CBC used monetary incentives to ensure that data entry and SMART goal action remained a priority for each agency.

The manager of the Sony VAIO personal computer in China has been given two segmentation studies. One study is country-specific and product-specific. The other is a global segmentation study, which covers all regions and all of Sony's many consumer electronics. Which segmentation study should the manager rely on---or is there a way to rely on both? After deciding which study is best, which consumer should the manager target, and with what position?

To provide a basis for students (with the help of their lecturer or professor) to answer the following questions: What are the general purposes of a market segmentation study, and what are some of the associated challenges? Is it better for a segmentation study to provide information about the likelihood of category purchase or the likelihood of brand purchase? What are the plusses and minuses of a global versus local segmentation study, and what are the marketing implications of each?

The learning outcomes are as follows: developing an understanding of financial statement analysis among students; students would be able to calculate various ratios, understand their meaning and interpret them to take a financial decision; and exploring the relationship between financial leverage and risk.

Amtek Auto is a leading auto-components manufacturer established in 1988 which entered into bankruptcy in through the order of Reserve Bank of India in 2017. The company started with a humble beginning and later on the promoter decided to expand exponentially both through organic as well as inorganic growth in past 15 years. To grow a company kept on taking debt which made it riskier and deteriorated its financial position over a period. The case covers a 10-year timeline from 2008 to 2017. It gives an opportunity to analyze its financial statements to understand how its decisions shaped its performance

The case aims for students to take a comprehensive view of the financial statement analysis of Amtek Auto including the following: vertical and horizontal analysis; comprehensive ratio analysis including liquidity, profitability, leverage and turnover ratios with special emphasis on debt as a double-edged sword; analysis of Armtek Auto’s financial performance over a period of 10 years.

Teaching Notes are available for educators only.

CSS 1: Accounting and Finance.

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

Learning outcomes are as follows: Understand performance appraisal process and tools; apply theory X and Theory Y in managing resistance to performance evaluation; identify the causes and symptoms of resistance; identify and apply managing resistance approaches.

After attaining the height of success in terms of imparting quality education and contributing to the creation of many learned persons of the society, Public school Sukkur was facing the downward trending success for many reasons. After the takeover of management control by Sukkur IBA University, the school was upward trending for quality education, state of the art infrastructure, advanced educational lab, modern teaching methodologies. With such a change, resistance was a must. Both Active and Passive resistance from the stakeholders was impeding the success of newly named IBA-Public School Sukkur. Particularly, the resistance against the implementation of the Performance Appraisal tool and its administration. With the resistance from employees, Chang, Principal IBA Public School Sukkur had to come up a solution for the smooth administration and implementation of Performance Appraisal and manage the resistance from the employees and ensure the continuous improvement through performance appraisal.

Case study is applicable for the MBA students.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 7: Management Science.

The case describes the dilemma of Mr Mehta, Regional Head HR of AXZ, a large IT company in India. Mr Mehta had received an appeal from an employee Mr Rajesh Kumar who alleged that he was wrongly appraised by his manager Mr Yogesh Desai. Both Desai and Kumar have presented their perspectives to Mr Mehta. While Mr Mehta understands Mr Desai's challenges in performance appraisal process, he also is concerned about Rajesh, who is a talented employee with rare skill sets. Apart from the case specific issues related to the two employees, Mr Mehta is also concerned about the problems arising from the current performance appraisal system, especially after AXZ acquired UTVC, which had a very different performance appraisal system. The case also provides an opportunity to discuss the challenges associated with bell curve implementation and discrimination in performance appraisal processes in organizations.

Laura Green, Director of Event Planning at the Nova Waterfront Hotel in Baltimore, had been through the hiring process many times. She was comfortable with Nova's selection and behavioral interviewing processes. They had only interviewed two candidates for the open senior event manager position, yet they had been discussing what decision to make for two and a half hours. Normally, these kinds of meetings wrapped up in 30 minutes with a clear consensus. Today, they were gridlocked, unable to agree on a path forward. Green suggested that they all “sleep on it.” They would get together first thing in the morning, when they were fresh, and decide what to do.

The data for this case were collected via personal interviews with employees of the hotel and from information on the company's website, other company resources, and publicly available information about the company. Only the hotel's name, parent company's name, and people's names have been disguised to protect the confidentiality and anonymity of the individuals. The author has no relationship to the host organization or protagonist.

This case is appropriate for an undergraduate or graduate course in Human Resources Management, Organizational Behavior, or Recruiting and Selection.

This case may be used to illustrate, analyze, and evaluate the selection process and interviewing approaches (e.g. behavioral interviewing). The importance of selection, best practices for selection, candidate assessment methods, best practices for candidate interviews, and common biases which affect the fairness of selection processes are reviewed.

The case is presented as descriptive in nature and primarily involves exploratory research.

Ashraf, a young graduate from Bangalore, India, started a chain of lifestyle shops, his family business in Khartoum, Sudan. To modernize the shops, Ashraf approached a small finance bank for financial assistance. However, after submitting the required documents and with a good credit score, he was denied a loan. The bank officials had mentioned that the loan automation software did not approve the application. Hence, the bank personnel said that they could not do anything further. Disappointed, Ashraf sought the help of his professor, John, to understand why the software rejected his application. Professor John explained to Ashraf the advantages and disadvantages of automation. In the process, Ashraf understood the significance and compelling need to address “Algorithm Bias,” a situation in which specific attributes of an algorithm cause unfair outcomes. The case place students in Ashraf’s position to help them understand the advantages and issues of applying automation through artificial intelligence.

The case suits graduate-level courses like business analytics, financial analytics and business intelligence.

Through the case, the students will be able to: Understand the role of algorithms in business and society. Understand the causes, effects and methods of reducing algorithm bias. Demonstrate the ability to detect algorithm bias. Define policies to mitigate algorithm bias.

An estimate of the fair rate of return on capital is a critical input into tariff regulation. A too high estimate will lead to high tariffs for consumers; a too low estimate will not provide adequate incentives for investment. The Airport Economic Regulatory Authority of India has issued a consultation paper for finalizing the norms and procedure for estimating the fair rate of return. It now needs to reconcile the differing view and approaches of different stakeholders.

Premal Seth, Head, Human Resources, of Technosol, sat in his Bengaluru office at 9 pm dreading the traffic he would have to negotiate if he stepped outside to catch a bite and equally dreading going up for coffee to the coffee shop 100 meters from his office. It was the first week of April (the week after the finalization of performance appraisals and ratings of all employees) and he would often bump into known and unknown people within the company who were disappointed, upset, sad, or plain angry at how the manager had ranked him/her or how unfair the performance management system was. Deciding not to get up at all, he focused on the various pending grievance emails. As he was going through them, an email from Vasundhara Rao, a senior subject matter expert, located in Ahmedabad, caught his attention (for details about the case characters, refer Exhibit 1).