Case studies

When a consultant recommends an overhaul of the HR compensation practices that the family business is known for and prizes, what should be the next steps?

Evaluating business advice when it is contrary to one's strengths, values, and beliefs.

This case looks at a new start-up company, d.light Design, as it was seeking to go to market in India with its solar-powered LED lamps in 2009. Sam Goldman, founder and chief customer officer of d.light, was in New Delhi, India; his business-school friend and co-founder Ned Tozun was in China, the site of the company's manufacturing plant.

One of the key decisions Goldman and Tozun needed to make was whether d.light should focus on just one distribution channel in India, or multiple channels. The startup had limited capital, so it needed to get the distribution question right to generate revenue quickly.

The case thus combines an entrepreneurial problem with an emerging-market, or bottom-of-the-pyramid, channel design challenge. This case does not focus on product design or manufacturing challenges but rather on questions of:

• The constraints d.light faced in creating an aligned distribution channel. These constraints can have legal, environmental, and/or managerial foundations

• Demand-side misalignments in the channel structure that will occur if d.light chooses one or another of the considered channels in the case, namely, (a) the RE (rural entrepreneur) channel, (b) the village retailer channel, or (c) the centralized shops channel

• • What mix of channels—or what single channel—d.light should focus on in the Indian market

• • The financial return possible based on d.light's current cost structure and overhead expenditures in India

The constraints d.light faced in creating an aligned distribution channel. These constraints can have legal, environmental, and/or managerial foundations

Demand-side misalignments in the channel structure that will occur if d.light chooses one or another of the considered channels in the case, namely, (a) the RE (rural entrepreneur) channel, (b) the village retailer channel, or (c) the centralized shops channel

• What mix of channels—or what single channel—d.light should focus on in the Indian market

• The financial return possible based on d.light's current cost structure and overhead expenditures in India

• Assess channel benefit demand intensities for chosen target market segments

• Assess channel alignment constraints that can limit the channel designer's ability to optimize the channel to meet identified end-user demands for channel benefits

• Use these ideas to defend a choice of one or more possible channel structures as appropriate parts of a company's overall channel system

• Analyze financial opportunity in this situation, given cost parameters and possible market penetration estimates

Assess channel benefit demand intensities for chosen target market segments

Assess channel alignment constraints that can limit the channel designer's ability to optimize the channel to meet identified end-user demands for channel benefits

Use these ideas to defend a choice of one or more possible channel structures as appropriate parts of a company's overall channel system

Analyze financial opportunity in this situation, given cost parameters and possible market penetration estimates

Todd Wilson, manager of partner development at Educational Technology Corp., needed to determine the targeting, positioning, and selling strategy for its innovative Interactive Mathematics software for the college market. This required determining what types of colleges to target and which stakeholders to focus on within institutions. His task was complicated by the unclear objectives of nonprofit institutions and the differing motivations of teachers, students, and college administrators in adopting software-based learning technology. Highlights the difficulties in innovation adoption within large nonprofit institutions and the challenges in marketing to institutions with complex decision-making processes, multiple influencers, and conflicting motivations.

Examines the launch of Xigris, a breakthrough new pharmaceutical product for the treatment of sepsis. The newly appointed head of marketing for Xigris is reviewing the launch plan.

Supplements the (A) case.

Looks at the introduction of statistical process control (SPC) into a distribution center servicing a department store chain. Focuses on the receiving process in the distribution center and describes the introduction of SPC methodology. Discusses run charts, pareto diagrams, and control limits.

To introduce statistical process control.

Fiserv, a pioneer in electronic payments, would like to increase the number of consumers who receive bills electronically. Currently, adoption is relatively low. To help guide their efforts, Fiserv managers have done extensive customer research and have segmented the market based on customer perceptions of e-billing. Students must recommend which segments to target and why. To support their recommendations, students must calculate the likely financial costs and benefits of adoption, estimate the likely returns for targeting different segments, and make targeting and positioning recommendations based on these calculations. Because Fiserv's direct customers are billers (such as utilities and credit card companies) and its end users are individual consumers, the case allows a focus on both B2B and B2C issues.

This case gives students the opportunity to estimate the relative profitability of different segments and to make targeting and positioning recommendations based on these calculations. It highlights the importance of assessing segments based on both quantitative and qualitative considerations. It also emphasizes the potential difficulties associated with targeting multiple segments at once.

This case looks at an important business task: forecasting a new product. The case can be used to teach finance, marketing (new product introduction), and healthcare strategy. The product is one of Amgen's most important new products: denosumab. On the surface, the case is fairly easy; students simply have to do some simple mathematical calculations. However, the challenges of forecasting quickly become apparent; every forecast depends on some critical assumptions, and the answer can vary dramatically.

Highlight the importance of forecasting as a business task. Give students the opportunity to create a forecast, using logical assumptions to generate an answer. Illustrate how dramatically forecasts can vary. Demonstrate why sensitivity analysis and customer understanding are both critical when trying to forecast a new product launch.

EuroPet S.A. was a multinational company operating gas stations in many European countries. There was a growing propensity for supermarkets to attach gas stations to their retail operations, which was developing into a major threat to EuroPet. As a result, in the mid-1990s, the company began to develop and brand its own convenience stores co-located with its gas stations. However, the company was spending much more on advertising the convenience stores than its competitors did. Management now had to decide if the increase in sales attributed to advertising efforts justified the advertising spend by analyzing the market data from one large metropolitan area: Marseille, France.

Students will learn: how to use cross-tabs and other marketing research tools to identify segmentation descriptors; how to analyze data and interpret results; and how these research results could guide new product development and positioning strategies in order to effectively target relevant customer segments.

A senior product manager for a telecommunications company has been asked to propose ideas for generating new revenue from video gamers who use his company's Internet services. The manager has commissioned the development of “experience maps” for three subsegments within the gamer segment. The experience maps, which are reproduced in the case, provide students with an opportunity to generate customer insights based on real qualitative data.

After students have analyzed the case, they will be more comfortable analyzing unstructured consumer insight data with limited direction, as well as with the inductive reasoning necessary to develop marketing insights based on qualitative research results. They will also have a better understanding of how customer insights can drive product development decisions and a greater understanding of experience maps as a consumer research tool