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The learning outcomes are as follows: How to establish credibility of data sources; measurement scales of data; the importance of descriptive statistics and generating the following based on the type of data: mean, median and standard deviation; graphical methods; and test for differences: t-test and analysis of variance.

The case is set during the COVID-19 pandemic and the South African Government’s response to the pandemic. A brief timeline is provided as part of the introduction to the case study, with the following being a timeline of the events: 14 March 2020, 114 South African citizens were repatriated from Wuhan the epicentre of the COVID-19 outbreak; 15 March 2020, South Africa’s President, Cyril Ramaphosa declares a National State of Disaster, and this includes various measures to protect against the spread of COVID-19, while the health-care system is geared up to deal with the pandemic. Among the measures implemented, travel bans from high-risk countries and closing of air-traffic, closing of land ports and banning of gatherings of more than 100 people; 23 March 2020, President Cyril Ramaphosa announced a national lockdown beginning on 27 March 2020 for three weeks; 9 April 2020, President Ramaphosa extends the national lockdown by a further two weeks. The World Health Organisation (WHO) had commended South Africa on the swift action taken to curb the spread of the virus. Individuals and organisational leaders are grappling to make sense of the spread of the virus, and the barrage of the information that is being communicated through multiple channels, formal and informal. To make sense of the information, the case is premised on getting access to the raw data and conducting the analysis based on the publicly available data. The central requirement of the case is to compare the number of positive cases per million, based on the population data contained in the data set, of South Africa to a comparable country.

Post-graduate students learning statistics as part of a degree programme. The case assumes no prior statistics knowledge and therefore is aimed at teaching the importance of the basics of statistical analysis and then progressing to tests for differences.

CSS 7: Management Science

Teaching Notes are available for educators only.

Dr. Lawrence Frazier was an emergency room physician who was an employee of Honore Staffing Services of Baton Rouge, Louisiana. He worked at Methodist Health System hospital in Grant, Georgia. He had recently added the title of ER Medical Director and served as liaison between Honore staffing and the Methodist hospital. His additional duties included overseeing the other physicians which staff the emergency room. Methodist had a bonus system in place based on obtaining 31 patients’ satisfaction surveys each month. Dr. Frazier believed that the small sample lead to erroneous results and created problems for the physicians under his supervision. He wanted to change the data collection process (e.g. sample size collected, instrument), but encountered obstacles when he broached the subject with his hospital administrators.

Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or “horse race” in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.

HRM; recruitment; managing cultural expectations in business; leadership.

Undergraduate management courses; MBA and MSc.

This case focuses on recruitment problems in Europe with an Asian dimension. A young Dutch and a young Chinese graduate are considering a career with postal, courier and logistics firm TNT – what are their concerns as graduating students in looking for a job? From the opposite perspective, the case considers how employers attract graduate recruits. The case encourages students of a wide range of cultural backgrounds to question if they are following their cultural norms, or their own personal needs, regardless of their culture. It introduces students to the concept of perceptions of employer value propositions (EVPs) and how employers can “market” themselves to employees. The case is appropriate for courses in leadership, human resource management, corporate social responsibility (CSR), managing culture, also job hunting and career workshops.

This case is aimed at projecting the importance of career choice criteria from both graduate and employer perspectives. The case examines issues of national culture and associated differences in employee and organizational expectations. The case also examines the role of CSR in attracting employees; and the particular concerns of Generation Y employees.

Teaching note.

Wall Street hedge fund manager Kim Meyer is considering investing in an SFA (slate financing arrangement) in Hollywood. Dave Griffith, a Hollywood producer, is pitching for the investment and has conducted a broad analysis of recent movie data to determine the important drivers of a movie’s success. In order to convince Meyer to invest in an SFA, Griffith must anticipate possible questions to maximize his persuasiveness.

Students will analyze the factors driving a movie’s revenue using various statistical methods, including calculating point estimates, computing confidence intervals, conducting hypothesis tests, and developing regression models (in which they must both choose the relevant set of independent variables as well as determine an appropriate functional form for the regression equation). The case also requires the interpretation of the quantitative findings in the context of the application.

Narayana, the head of Market Dynamic's (MD) Telecom vertical was working on the data analysis plan for the research on the telecom project that they had done for CWP. CWP was a well known consultant and had conducted a research with MD to generate consumer insights in the telecom space. These would help bring credibility for CWP and help in business development. CWP had requested for an early delivery and Narayana was planning to work on the analysis plan himself as his chief analyst was on leave. This case highlights the importance of an analysis plan in research. Specifically, it illustrate the role of different tools in data analysis and familiarizes participants with various tools and their applications. This case would be useful for students in Business Research and Market Research courses.

Critical analysis of observed practice.

Field study.

To expose accounting and MBA students to Lean management and the performance measures that support Lean management by presenting a case of a comprehensive and very successful Lean transformation; to give accounting and MBA students the opportunity to construct a strategy map and a balanced scorecard based on a rich case description; and to critically assess the suitability of balanced scorecards for a company that embraces Lean management.

The case describes a comprehensive transformation from conventional management to Lean management and business practices, with an emphasis on the largely non-financial performance measures used to support the transformation. Around the time of the Lean transformation, the balanced scorecard, a multi-dimensional measurement approach, was introduced to address the problems of excessive reliance on financial performance measures. Students are asked to compare and contrast Wiremold’s approach to the balanced scorecard.

Graduate or upper level undergraduate courses in cost accounting, managerial accounting and strategic management.

The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.

It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.

This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.

An asset management company must replace the manager of its two signature mutual funds, who is about to retire. Two candidates have been short-listed. The management team is divided and cannot decide which of the two candidates would make the better mutual fund manager. The retiring manager presents a linear regression model to examine success factors of mutual fund managers. This linear regression is the starting point for the subsequent analysis.

Application of linear regression analysis to analyze the performance of mutual fund managers.

First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?