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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.

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.

Marketing.

The courses in which this case can be used include e-business, e-commerce, digital marketing, retailing and marketing strategy. This case can be used to teach MBA students. This case is also having the equal relevance for the executive programmes.

AaramShop is digitizing the Grocery General Trade ecosystem. There are of millions of neighbourhood kirana stores spread across all the cities of India. AaramShop is bringing these neighbourhood kirana stores online, and making them not only e-commerce-ready but also capable of using technology to take their stores to the next level in terms of service and delivery. The case lists out the issues and challenges faced by AaramShop.

This case challenges the participants to understand the new business model in the e-commerce space. The participants can look at the different angles of the business model proposition, namely, how AaramShop approach delivers on the retailer proposition, consumer proposition and the brands proposition. The participants can also be sensitized about the obstacles in making the business model more successful. These obstacles can be posed by the retailers, consumers or brands. The case will lead to a discussion about the logistics model opportunity available to Aaramshop.com.

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 8: Marketing

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.

Growth strategies, marketing strategy, resources-based value theory, alliance network model, logistic and supply chain.

This case can be used in undergraduate and graduate classes as well as development programmes for managers in small to medium-size enterprises. The case suits courses in business, strategy, marketing and freight forwarding.

Union National Air, Land and Sea Shipping Co (LLC) (UNASCO) is a small to medium-sized freight forwarding company based in the United Arab Emirates (UAE). It has three offices, two in Dubai and one in Abu Dhabi. UNASCO handles commercial imports/exports from/to many destinations, including Europe, Asia, the USA, India, the Far East, Gulf Cooperation Council (GCC), the Middle East (ME) and Africa. UNASCO has been in business for more than 35 years and has run the business smoothly. Recently, the company has faced several internal and external challenges that impact business performance. These challenges are high operating expenses, stiff competition and low market demand. Due to these challenges, the sales staff is being pressured to generate more income to ensure that the company is not experiencing a loss. Now, UNASCO is uncertain how to sustain the business.

The learning outcomes are as follows: to learn about the freight forwarding industry, the competitive landscape and the challenges surrounding it; to enable the participant to generate a list of strengths, weaknesses, opportunities and threats (SWOT) for UNASCO and to gain skill at using SWOT analysis; to increase the participant’s ability to evaluate a situation and effectively communicate remedies about it both in writing and verbally; to enable the participant to analyse a problem using the Fishbone Diagram cause and effect tool; to enable the participant to use the Six Thinking Hats technique to make more reliable and sounder decisions; to gain skill at using Porters Five Forces tool, understand the competitiveness of UNASCO’s business environment, and identify the potential for business growth; and to gain skills at developing a marketing strategy using the 4Ps model.

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.

This case describes an innovative response-modeling project at INTUIT. The case can help students understand the basics of (and the issues surrounding) response modeling, an important tactic in data-base marketing.

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.

This teaching case is specially designed for students who are in their advanced stage of their undergraduate business degree program. It can also be used in a Master of Business program.

This teaching case documents that roller coaster ride of failures and success of OneLogix (a niche logistic service providers) from its birth in 2000 till present day. It seeks to present a rich contextual information about how difficult it is for businesses to survive and become profitable in South Africa.

On completion of the case, students will be able to analyze the external environment of an organization, determine what factors will impact the organization’s profitability and survivability, analyze the evolution of an industry, apply and discuss how the evolution of an industry can affect an organization’s profitability and survivability, explain the difference between entrepreneurial versus efficiency management approach, discuss how each approach will conflict the other and identify ways that can harmonize the two approaches, explain strategies for organization to develop capabilities to be responsive to changes in its business environment and compose and apply strategies according to the contextual information provided within the teaching case.

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

After the completion of this case study, students will be able to understand the importance of being close to local people when embarking on social business; understand that clear purpose and good decision-making can lead to great outcomes; and learn that innovation is crucial to ensure sustainability of both business and impact.

The case highlights the journey of Laiterie du Berger (LDB), a social enterprise in the agribusiness industry and the challenges faced as it expands and innovates. LDB’s roots lie in its commitment to social impact, aiming to uplift the Fulani livestock farmers and address socioeconomic issues. The company’s business model prioritizes people over profits, focusing on sustainable development and poverty alleviation. The LDB case showcases the challenges and opportunities in the agribusiness industry. LDB’s commitment to social impact, demonstrated through its support for farmers and sustainable farming practices, has been integral to its success. As the company expands and innovates, it faces critical decisions that require balancing financial growth with social responsibility. By embracing development, innovation and collaboration, LDB can continue to be a catalyst for positive change in the agribusiness industry while staying true to its roots and the principles that have defined its journey.

This case study is designed for bachelor’s and master’s degree students in the field of entrepreneurship and innovation, as well as MBA students. The case focuses on social entrepreneurship with the example of an agribusiness company located in Senegal, prioritizing social impact and quality of life. The case study explores the dynamics of the sector, including expansion strategy, innovation initiatives and the dilemma of balancing social mission and profit that social entrepreneurs may be facing. By analyzing this real-world situation of LDB, students will have the opportunity to enhance their decision-making skills.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship

The case is written on the basis of published sources only.

Doodlage, a start-up incorporated in 2012 by Kriti Tula, Paras Arora and Vaibhav Kapoor, used discarded waste to create sustainable fashion products. It had a first-mover advantage in recycled fashion goods in the first 10 years of its existence. The company contributed to sustainable fashion by providing an alternative to fast fashion production, creating enormous clothing waste and environmental degradation. In the first quarter of 2022, it saved and reused 15,000 m of fabric waste. From 2018 to 2021, the company grew 150% annually, targeting the right customers and regions to expand its business. It ensured that postproduction industrial waste and postconsumption garments were used to produce clothes. It also confirmed that the waste generated in its fabric screening process was used to create stationery items and other valuable accessories.

However, the sustainable fashion model that gave the company a competitive advantage became obsolete in 2022 due to increasing competition in the industry as various players using unique ideas entered the market. The company is encountering operational and logistical challenges that are affecting its performance. The demand for its products was also subdued due to high prices of upcycled and recycled clothes and less consumer spending post-COVID pandemic. The competitors of Doodlage offered multiple products produced using environmentally friendly farming and manufacturing techniques, attracting sustainable purchasers. What should be the new portfolio of products for the company to explore future growth opportunities? Considering their vast price, can consumers be encouraged to buy upcycled clothes? How should the company ride the winds of change in the industry?

The instructor should initiate the class discussion by asking questions such as how frequently do you shop for clothes? Do you care about the fabric of your apparel? After you discard your clothes, do you think about where these goods finally end up? Data on the amount of total waste generated in the fashion industry should be communicated to students to connect it with the importance of the concept of circular economy. Post this, the instructor should introduce the business model of Doodlage to bring the discussion into the context of the fashion industry before going ahead to discuss the company’s dilemma.