Search results

1 – 10 of 797
Case study
Publication date: 1 January 2024

John McVea, Daniel McLaughlin and Danielle Ailts Campeau

The case is designed to be used with the digital business model framework developed by Peter Weill and Stephanie Woerner of Massachusetts Institute of Technology (MIT) (Weill and…

Abstract

Theoretical basis

The case is designed to be used with the digital business model framework developed by Peter Weill and Stephanie Woerner of Massachusetts Institute of Technology (MIT) (Weill and Woerner, 2015) and is referred to as the W & W framework. This approach provides a useful structure for thinking through the strategic options facing environments ripe for digital transformation.

Research methodology

Research for this case was conducted through face-to-face interviews with the protagonist, as well as through a review of their business planning documents and other data and documentation provided by the founder. Some of the market and industry data were obtained using secondary research and industry reports. Interviews were digitally recorded and transcribed to ensure accuracy.

Case overview/synopsis

The case follows the story of Kurt Waltenbaugh, a Minnesota entrepreneur who shared the dream of using data analytics to reduce costs within the US health-care system. In early 2014, Waltenbaugh and a physician colleague founded Carrot Health to bring together their personal experience and expertise in both consumer data analytics and health care. From the beginning, they focused on how to use data analytics to help identify high-risk/high-cost patients who had not yet sought medical treatment. They believed that they could use these insights to encourage early medical interventions and, as a result, lower the long-term cost of care.

Carrot’s initial success found them in a consultative role, working on behalf of insurance companies. Through this work, they honed their capabilities by helping their clients combine existing claims data with external consumer behavioral data to identify new potential customers. These initial consulting contracts gave Carrot the opportunity to develop its analytic tools, business model and, importantly, to earn some much-needed cash flow during the start-up phase. However, they also learned that, while insurance companies were willing to purchase data insights for one-off market expansion projects, it was much more difficult to motivate them to use data proactively to eliminate costs on an ongoing basis. Waltenbaugh believed that Carrot’s greatest potential lay in their ability to develop predictive models of health outcomes, and this case explores Carrot’s journey through strategic decisions and company transformation.

Complexity academic level

This case is intended for either an undergraduate or graduate course on entrepreneurial strategy. It provides an effective introduction to the unique structure and constraints which apply to an innovative start-up within the health-care industry. The case also serves as a platform to explore the critical criteria to be considered when developing a digital transformation strategy and exposing students to the digital business model developed by Weill and Woerner (2015) at MIT (referred to in this instructor’s manual as the W&W framework). The case was written to be used in an advanced strategy Master of Business Administration (MBA) class, an undergraduate specialty health-care course or as part of a health-care concentration in a regular MBA, Master of Health Care Administration (MHA) or Master of Public Health (MPH). It may be taught toward the end of a course on business strategy when students are building on generic strategy frameworks and adapting their strategic thinking to the characteristics of specific industries or sectors. However, the case can also be taught as part of a course on health-care innovation in which case it also serves well as an introduction to the health-care payments and insurance system in the USA. Finally, the case can be used in a specialized course on digital transformation strategy in which case it serves as an introduction to the MIT W&W framework.

The case is particularly well-suited to students who are familiar with traditional frameworks for business strategy and business models. The analysis builds on this knowledge and introduces students interested in learning about the opportunities and challenges of digital strategy. Equally, the case works well for students with clinical backgrounds, who are interested in how business strategy can influence changes within the health-care sphere. Finally, an important aspect of the case design was to develop students’ analytical confidence by encouraging them to “get their hands dirty” and to carry out some basic exploratory data analytics themselves. As such, the case requires students to combine and correlate data and to experience the potentially powerful combination of clinical and consumer data. Instructors should find that the insights from these activities give students unique insights into the potential for of data analytics to move health care from a reactive/treatment ethos to a proactive/intervention ethos. This experience can be particularly revealing for students with clinical backgrounds who may initially be resistant to the use of clinical data by commercial organizations.

Details

The CASE Journal, vol. ahead-of-print no. ahead-of-print
Type: Case Study
ISSN: 1544-9106

Keywords

Case study
Publication date: 23 June 2021

Arpita Agnihotri and Saurabh Bhattacharya

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

Abstract

Study Level/Applicability

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

Subject Area

This case is intended for courses in strategic management, entrepreneurship and innovation at the undergraduate or postgraduate level.

Case Overview

The case is about challenges faced by Linda Portnoff, the Co-founder and Chief Executive Officer of Riteband, a Sweden-based fintech startup. In March 2020, Portnoff was conducting beta testing of Riteband’s app, which experts considered the world’s first stock exchange for music trading. After completing a PhD, Portnoff who was working as a Research Analyst, left her job to pursue entrepreneurship. Through Riteband, Portnoff helped to resolve pain points of artists who were forced to give the copyright of their music tracks or albums to distributors, in lieu of funds or promotional campaigns that distributors arranged for them. Portnoff invested in developing a patent-pending machine learning-based algorithm that based on several parameters could predict the likelihood of a music track or an album to become a success. Based on this prediction and royalty that artists were interested in sharing with fans, shares were issued to investors, who were also fans of the artists. As Portnoff identified an innovative business opportunity to trade music on a stock exchange based on Riteband’s machine learning algorithm, competition in Riteband’s strategic group was also becoming intense. Consequently, Portnoff was facing challenges of establishing competitive advantage of Riteband. Furthermore, as women in general faced challenges in raising funds for their startups, and even though Portnoff obtained some funding for Riteband, but overall, funding was a challenge for her as well. Moreover, as machine learning was a technical aspect for artists and potential investors, Portnoff also faced challenges to monetize on its machine learning algorithm.

Expected learning outcomes

By the end of the case study discussion, students should be able to: understand the principles of cross-industry innovation and explain the creation of new business opportunities based on cross-industry innovation; differentiate between direct and indirect competitors through strategic group analysis and further critically analyze the competitive advantage of business over other direct competitors; determine ways of reducing gender biases in venture capital funding; describe how machine learning works and further formulate ways to monetize a business through machine learning; and demonstrate the application of the value proposition canvas and business model canvas.

Subject codes

CSS 3: Entrepreneurship; CSS 11: Strategy.

Case study
Publication date: 15 November 2019

Mohanbir Sawhney, Birju Shah, Ryan Yu, Evgeny Rubtsov and Pallavi Goodman

Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services…

Abstract

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.

Details

Kellogg School of Management Cases, vol. no.
Type: Case Study
ISSN: 2474-6568
Published by: Kellogg School of Management

Keywords

Case study
Publication date: 20 January 2017

Peter Eso, Peter Klibanoff, Karl Schmedders and Graeme Hunter

The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating…

Abstract

The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating the winning bids in various auctions concerning highway repair jobs using data on past auctions. The decision maker is faced with various professional, statistical, and ethical dilemmas.

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

Details

Kellogg School of Management Cases, vol. no.
Type: Case Study
ISSN: 2474-6568
Published by: Kellogg School of Management

Keywords

Case study
Publication date: 17 November 2017

Anton Ovchinnikov and Scotiabank Scholar

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…

Abstract

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.

Details

Darden Business Publishing Cases, vol. no.
Type: Case Study
ISSN: 2474-7890
Published by: University of Virginia Darden School Foundation

Case study
Publication date: 27 February 2024

Wen Yu

With the development of inclusive financial business in China in recent years, this case describes the credit risk control of “mobile credit”, a smart online credit platform…

Abstract

With the development of inclusive financial business in China in recent years, this case describes the credit risk control of “mobile credit”, a smart online credit platform launched by Shanghai Mobanker Co. Ltd. (referred to as “Mobanker”, previously named as “Shanghai Mobanker Financial Information Service Co., Ltd.”) which provides technical services for inclusive finance industry.

Details

FUDAN, vol. no.
Type: Case Study
ISSN: 2632-7635

Case study
Publication date: 4 December 2018

Vipul Kumar Singh

It intends to help the learners assess the scenarios of volatility in the Indian capital market which was caused by unpredictable market forces. It also helps in understanding how…

Abstract

Learning outcomes

It intends to help the learners assess the scenarios of volatility in the Indian capital market which was caused by unpredictable market forces. It also helps in understanding how analysts struggle to predict the direction of the market and what options strategies can be recommended to be deployed by the investors to maximize returns in such compelling scenarios.

Case overview/synopsis

This case study presents snapshots of high volatilities caused by the market and economic forces in the Indian capital market. It depicts how analysts struggled to predict the direction of the market; and how high volatility can put them in trouble. It also exemplifies as to how by selecting the apt strategies, investors maximize their immediate returns in a volatile period and can produce large returns in a short time.

Complexity academic level

The best time to discuss the case is during the completion of options strategies in the course of Derivatives or Portfolio/Investment Management.

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.

Subject code

CSS 1: Accounting and Finance.

Details

Emerald Emerging Markets Case Studies, vol. 8 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 20 January 2017

Anton S. Ovchinnikov

This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to…

Abstract

This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition about what drives churn. The associate must generate a list of the customers most likely to churn and the top three reasons for that likelihood.

Case study
Publication date: 5 May 2022

Mir Mohammed Nurul Absar, Sadia Akhter and Ritu Srivastava

This case study discussion will enable students to: • Understand and evaluate the steel industry’s nature, opportunities, threats and challenges in an emerging market such as…

Abstract

Learning outcomes

This case study discussion will enable students to: • Understand and evaluate the steel industry’s nature, opportunities, threats and challenges in an emerging market such as Bangladesh.• Review the techniques used to analyse competition and attractiveness of an industry using Porter’s five forces model. • Identify the corporate-level strategic decisions that can impact the survival and growth of a single business/product company in a highly competitive market. • Evaluate amongst different types of corporate-level growth strategies and their appropriate applications. • Synthesise various internal, industry and market-related information into the selection and justification of any particular corporate-level growth strategy.

Case overview/synopsis

BSRM group established Bangladesh’s first-ever steel mill in 1952. For around 70 years, BSRM had been leading the steel industry of Bangladesh with a single product – long steel. Over the recent decade (2010–2020), Bangladesh had been one of the world’'s fastest-growing economies. As the economic development was closely tied with the consumption of steel products, per capita steel consumption in Bangladesh became more than double. Moving from 24 kg in 2010, per capita steel consumption became 55 kg in 2021. Industry experts predicted the per capita steel consumption to be 75 kg by 2024, indicating an enormous scope for the steel industry to grow. Moreover, the industry’s growth momentum was predicted to continue until the nation became a developed one in 2041. This growth momentum kept attracting new competitors to this business. Nevertheless, BSRM maintained the market leadership by dint of its first mover’s advantage, superior quality, branding, innovation and large-scale operations and ultimately accumulated substantial free cash flow over the years. Now, Aameir Alihussain, the Managing Director and CEO of BSRM, was concerned about managing the growth of his business. Would BSRM continue to concentrate on producing steel and building forte by the backward and forward integration of the value chain? Or should the firm opt for some related diversification? Alternatively, was it the right time for BSRM to consider opportunities for unrelated diversification? While opportunities were many, the amount for investment was limited. Thus, Alihussain was in a dilemma pursuing the right corporate-level growth strategy for the overall sustainability of his business in the long run.

Complexity academic level

This case can be taught in the corporate-level strategy chapter of a core course on strategic management at the undergraduate programs. This case would facilitate students to comprehend the context of corporate-level strategies in managing the growth of a business in an emerging market.

Supplementary materials

Teaching Notes are available for educators only.

Subject code

CSS 11: Strategy.

Details

Emerald Emerging Markets Case Studies, vol. 12 no. 2
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 20 January 2017

Péter Esö, Graeme Hunter, Peter Klibanoff and Karl Schmedders

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…

Abstract

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.

Details

Kellogg School of Management Cases, vol. no.
Type: Case Study
ISSN: 2474-6568
Published by: Kellogg School of Management

Keywords

1 – 10 of 797