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This case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), classification and regression trees (CART), random forests, graduate boosted trees (xgboost), neural networks, and support vector machines (SVM).

The case is suitable for an advanced data analysis (data science, machine learning, and artificial intelligence) class at all levels: upper-level business undergraduate, MBA, EMBA, as well as specialized graduate or undergraduate programs in analytics (e.g., masters of science in business analytics [MSBA] and masters of management analytics [MMA]) and/or in management (e.g., masters of science in management [MScM] and masters in management [MiM, MM]).

The teaching note for the case contains the pedagogy and the analyses, alongside the detailed explanations of the various techniques and their implementations in R (code provided in Exhibits and supplementary files). Python code, as well as the spreadsheet implementation in XLMiner, are available upon request.

Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services had expanded across the world, growing rapidly in the United States, China, India, Europe, and Southeast Asia. Even as these services expanded and gained popularity, however, the pickup experience for drivers and riders did not always meet the expectations of either party. Pickups were complicated by traffic congestion, faulty GPS signals, and crowded pickup venues. Flawed pickups resulted in rider dissatisfaction and in lost revenues for drivers. Uber had identified the pickup experience as a top strategic priority, and a team at Uber, led by group product manager Birju Shah, was tasked with designing an automated solution to improve the pickup experience. This involved three steps. First, the team needed to analyze the pickup experience for various rider personas to identify problems at different stages in the pickup process. Next, it needed to create a model for predicting the best rider location for a pickup. The team also needed to develop a quantitative metric that would determine the quality of the pickup experience. These models and metrics would be used as inputs for a machine learning.

In May 2016, Sarita Digumarti, Chief Operating Officer of Jigsaw Academy in Bengaluru, India, faced a challenging situation. Jigsaw Academy provided online courses in data analytics and Big Data at the beginner, intermediate and advanced levels for students as well as working professionals. It was perceived that plenty of students from premier institutions in India had a high level of theoretical knowledge about the process involved in number crunching and data analysis; however, the hands-on experience on actual business problems or actual data sets was a major limitation with these students. Given the rapid growth of the analytics sector and the limited number of academic institutions offering analytics courses, there was a lack of availability of the right skills in the analytics market. Jigsaw Academy seized this opportunity and started offering relevant courses. All efforts were made to enhance the number of students enrolling for the courses, which in turn resulted in improving its customer base. Realizing the demand of industries for employees skilled in the analytics sector, Jigsaw Academy wanted to grow its brand equity and to achieve this through business to business (B2B) collaborations and/or alliances. However, expansion through B2B has its own challenges. Given the competitive landscape of analytics market, Jigsaw Academy was wondering whether they should opt for B2B channel, and if yes, the question was related to the process of choosing potential B2B partners.

The authors have collected the data from primary sources as well as secondary sources. Primary sources include field visits and audio-recorded interviews conducted with key departmental heads in the organization. Secondary sources include data retrieved from the company website and the relevant information available about the industry with the assistance of the internet. Except the founder’s name, all other names are disguised to protect the individual’s privacy as per instructions from the founders of Jigsaw Academy.

This case can be used at the graduate or MBA level in courses such as entrepreneurship, sales and distribution management, strategic alliances and mergers.

This case was designed to facilitate discussion of how a cyberattack was remediated by a major public university. Students are challenged to think through how to best manage the remediation project, including the application of best practices such as risk management, stakeholder management, communication plans, outsourcing/procurement management, and cyberattack remediation. The Phoenix Project was a success from multiple perspectives, and as such provides a useful example of how to manage an unplanned, mission-critical project well.

This case can be used to help students achieve the following objectives: To project financial statements and assemble different pieces of financial information to create a valuation model (objective #1, create), To calculate a value for Arcor shares, supporting the estimated value with the chosen assumptions and methodologies (objective #2, evaluate), To draw connections between four different approaches to valuation (DCF, EVA, RV and VI), contrasting them and weighting their advantages and limitations (objective #3, analyze), To examine the relationship between forecasted financial statements and valuation (objective #3, analyze), To discuss the calculation of the Weighted Average Cost of Capital in a new situation as is an emerging economy, with the corresponding country-risk adjustment (objective #4, apply), To discuss the sources of value creation in a family-owned private company in a developing economy (objective #4, apply), To understand the dilemma that the head of a company was facing, identifying the three possible financing alternatives discussed in the text as follows: corporate bonds, earnings reinvestment and an IPO (objective #5, understand). To recall basic facts, as the main character’s opinion on the direction of the local economy or the fact that Arcor already complies with the information requirements of a public company (objective #7, remember).

This case is based on the valuation of the world’s largest candy maker, Arcor S.A.I.C., originally a Latin American company, which remains a private family business. The key problem presented by the case is the use of different valuation approaches to price Arcor shares, in view of a possible Initial Public Offer. The case illustrates the application of four main valuation approaches as follows: Discounted Cash Flow (DCF), Economic Value Added (EVA), Relative Valuation (RV) and Value Investing (VI). Additionally, it includes a fundamental analysis of eight years of historical financial information and the preparation of forecasted financial statements. Set in a developing economy, the Arcor case introduces the complexities of calculating the cost of capital with the inclusion of country risk, as well as the financial analysis distortions caused by an environment of high inflation.

The Arcor case is appropriate to be used in graduate courses of Corporate Finance, Valuation or Private Equity.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

India's diagnostics business valued at USD 10 billion was growing at 20% annually. Several players with different business models competed. Dr. Lal PathLabs, the world's largest histopathology centre led with a menu of 3,500 tests, 1,600 collection centres and 7,000 pick-up points. Its Initial Public Offer had been oversubscribed 33.41 times and the team at Dr. Lal PathLabs was excited about expanding its international footprint. Two overseas companies were incorporated in Netherlands and Nepal. Yet, there were enormous unmet needs in India alongside potential for public-private partnerships. Trade-offs over portfolio choice and regional versus international footprint needed thinking through.

The primary teaching objective is to discuss the capital raising efforts of a firm under financial distress. It also provides supporting data to calculate cost of capital, DuPont/modified DuPont values and Altman’s Z-Score that can appropriately be incorporated into the discussion. Case-B provides information and data of the company’s recent performance and to changes in bankruptcy law in India. Overall, this case study provides ample scope to discuss, understand and provide the solution to the following key corporate finance themes as follows: 1. Analyzing accounting statements and examine potential earnings quality issue. 2. Predicting default and bankruptcy using qualitative analysis, financial ratios, traditional and modified DuPont models and Altman’s Z score model. 3. Examining the capital raising efforts of a distressed firm, which has already defaulted on borrowings. 4. To explore the impact of changes in regulation on the turnaround efforts of the firm as well as on the promoters of the firm.

Since 2005, Amtek Auto moved at a breathtaking speed with the goal of reaching $10bn in sales, from the current level of about $1.2bn. The group had acquired more than a dozen companies spending about Rs.5,000cr. ($850m) during this period primarily through borrowed funds. However, the market and business expansion was not happening as expected. The company’s capacity utilization was just about 40% (approx.) during much of this period. The mounting fixed costs of operation and debt servicing grew to the level of unsustainability, led the firm to default on its borrowing. Now the company had to quickly recapitalize itself to run its operations and retain the premier position in auto component industry. The company and its promoters were considering various methods of debt restructuring, asset sale and further equity infusion.

Introductory and elective level corporate finance.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance.

Mahindra Trucks and Buses forayed into India's commercial vehicles sector in 2005. However, they had to battle numerous supply chain challenges associated with introducing a new product (a new truck brand) in the market and to gain a noticeable foothold in the market. In this case, we attempt to align customer brand stickiness with the supply chain expectations from a new product. In particular, we deliberate how the needs of all actors in the supply chain must be met and their interactions must be accounted in developing a robust supply chain. Finally, a supply chain is successful when demand can be matched with supply and the customer's service level can be achieved.

After studying and analyzing this case, students will be able to evaluate the strategic alternatives for growth for a small entrepreneurial business in an emerging market, analyze the trade-offs between maintaining continuity and change in the growth strategy adopted by an organization and synthesize an appropriate growth strategy for managing the trade-off between continuity and change in an organization.

It was late April 2022, and Mohammad Hamza – the founder and marketing head of Engineering & Environmental Solutions (E&E Solutions) – disconnected the call of his sales manager. His mind was fixated on how to craft the strategy for the next phase of the company’s growth. The deadline for their biggest tender was at the end of May 2022. Should he commit all the company’s reserves to this project or pursue global markets? Launched in 2015, E&E Solutions had come a long way from being a start-up with just one product to a full-blown manufacturer and environmental monitoring equipment service provider. Growing pollution and strictness in compliance propelled the demand for environmental monitoring equipment in India, poised to reach $342m by 2025. E&E Solutions leveraged its technological capabilities in Internet of Things and sensors producing low-cost monitoring equipment to gain an edge in an evolving market and bootstrapped its way to almost $5m annual turnover in 2021. However, the last review meeting brought many concerns for the next growth phase. E&E Solutions had so far focused on the domestic market, catering to the demands of private as well as government clients. A significant cause for concern had been the small order size of private players, averaging $2,000 and a lower net margin of 8%. Moreover, the company had been missing out on opportunities to bid for large government contracts owing to stringent bidding credentials required (such as turnover of at least 50%–80% of the project value and previous similar order experience with a range of at least 70% of the project value). Furthermore, the COVID-19 pandemic had stalled their efforts to tap a promising global environmental monitoring market (predicted to be $44bn by 2030). As Hamza and his team sat in their board room for a discussion, they had two alternatives. Either continue focusing on the domestic market, especially the big government contracts (more than $12m order size) or explore the markets in other emerging economies with demand for similar products (such as Middle East and North Africa region) more aggressively. Hamza was, however, wondering if they could do both, for he knew that to qualify for big government contracts, they needed to scale up. He was also getting restless after missing his target of reaching $20m in five years, especially since India’s ecosystem for start-ups and the small business sector had witnessed favorable policies and support from the government. He started pondering how to leverage his organization’s strengths and continuities to achieve the required pace and scale of change. His thoughts wandered around dividing the cash reserves of $500,000 to fuel growth without reducing the R&D budget. After all, R&D has been E&E Solutions’ forte since its inception and has been pivotal in creating its differentiation.

This case study can be used for core strategic management course at the undergraduate and graduate level of management programs. It can also be used in advanced strategy courses like strategic change, entrepreneurship and small business management offered in MBA programs.

Teaching notes are available for educators only.

CSS 11: Strategy

Management of Innovation and Technology/Management Information Systems.

Information Systems.

SER (Sugar, Energy & Rum) was a company belonging to the Grupo Pellas Corporation. The company operated in four countries, had six subsidiaries, employed more than 25,000 people, had more than 43,500 manzanas of sugarcane crops in Nicaragua alone and had global annual sales of more than US$400m. In 2008, due to the negative effects of the crisis on the company’s business model (increasing costs due to higher prices for fuel and decreasing income because of low international sugar prices), the company decided to implement a business intelligence (BI) system to optimize its processes to reduce costs and increase productivity. At that time, the company had more than 100 years of data, information systems that fed into their main business processes and a culture that appreciated data as the basis for decision-making. However, there were inconsistencies among data systems, users received highly complex reports in Excel or green screens and process monitoring happened long after the tasks had been completed. As a response, SER used extract–transform–load to collect and clean data that would be used in the BI system (the case leaves the questions regarding the systems selection unsolved for discussion). Based on their business model, they selected the most critical processes and defined key performance indicators to measure the impact of changes in those processes. They considered graphic design as a tool to make the system more accepted by users and worked together with users so that reports only offered the most important information. The result was improved costs and productivity. They decreased manual time spent by 14 per cent, automated time spent by 10 per cent, and eliminated 1,556 hours of dead time for equipment in the field, which allowed them to increase productivity by US$1m just in sugar. They saved 20,000 trips from the fields to the factories, which represented more than US$1m in savings by monitoring the weight of wagons loaded with sugarcane in real time. They improved client perceptions about the company both locally and internationally by implementing a sugar traceability system.

The case “Business Intelligence at the Grupo Pellas SER Company” has as its objective to respond to the question: How does a company make its BI system implementation successful? As such, the case: Discusses what a BI system is and what it provides to a business analyses challenges, benefits and context when implementing a BI system; analyses success factors and recommendations in the BI system implementation process; analyses the process of implementing a BI and highlights the importance of the system priority questions and technological alternatives.

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 11: Strategy