Case studies

In this return on investment (ROI) for customer relationship management (CRM) case scenario, students must calculate the ROI for analytic CRM enabled by an enterprise data warehouse. The case is based upon a real-life consulting engagement with a major Fortune 100 telecommunications company. In this case the executive management team's strategic objective is to grow the customer base by 5 percent annually by customer acquisition. The internal rate of return calculated from the data given in the case is more than 800 percent for one year, and sensitivity analysis shows this is a robust projection, suggesting it should be funded without question. However, the strategy of the firm is customer acquisition in an environment of high customer churn. As a result of these dynamics, the revenues and net income of the firm are actually decreasing by hundreds of millions of dollars each year. A better solution would realize that the executive team has the incorrect strategic objective. Customer acquisition is the wrong approach in an environment of high customer churn and executives should focus on customer retention and cross-sell and up-sell to high-value customers. The case discussion therefore takes students beyond CRM ROI to focuses on the key strategic concepts of customer relationship management.

Students learn how to calculate return on investment (ROI) for analytic customer relationship management (CRM) initiatives. The case also discusses in detail the difference between operational CRM and analytic CRM. The case solution is relatively straightforward with a very good ROI. However, the true learning of the case is for students to understand the strategic context of analytic CRM and to question assumptions in any ROI model.

In 2008 San Francisco International Airport (known by its three-letter airport code, SFO) had announced a $383 million plan to renovate and reopen Terminal 2. Assistant deputy director of aviation security Kim Dickie and her team had selected Quantum Secure's SAFE software suite as the new Terminal 2 credentialing system, but she needed to develop a business case quickly that would convince senior management to give the green light to fund the purchase. The case describes a scenario that occurs frequently in the real world, in which a decision offers some real but qualitative value in ways that are difficult or impossible to quantify. The discussion and analysis gives students the opportunity to consider the factors that will drive the internal rate of return (IRR), net present value (NPV), and discounted payback period calculations without constructing comprehensive spreadsheet models. Analyzing the case suggests the limits of such approaches in cases where perceived value is difficult to quantify. The case prepares students to evaluate and justify purchasing requests when interacting with financial gatekeepers such as CFOs and CEOs by introducing a framework to analyze the quantifiable benefits of a capital expenditure while keeping in mind important intangible benefits.

After analyzing the case, students should be able to: Understand how return on investment (ROI) calculations work, with an emphasis on identifying incremental effects Decide how to use results from similar entities making similar purchases to estimate the incremental benefit of a proposed solution Identify and use the best data available in making assumptions Justify the validity of benefits that are difficult to quantify in conjunction with the presentation of a traditional ROI analysis

Israeli entrepreneur and inventor Dov Moran envisioned the creation of a mobile device that was a small, stand-alone, fully functional mobile phone that could be slipped into a variety of enclosures, or “jackets,” that would provide added functionality and better reflect the personalities of its users. As the development of the Modu phone began to take shape, Moran and his team decided that to ensure the success of the new phone's much anticipated launch, Modu would develop and market the accessory jackets itself. The question now was which of the eight jackets to develop and what factors should be considered in making that decision. The case is about how to estimate optimal product-line extensions after accounting for experience curve and cannibalization effects of products that share similar features, cost, and price. This will require quantitative analysis that estimates the effect of the experience curve and cannibalization on cost, revenues, and ultimately, profit. The issue is how to optimize profits by choosing an ideal set of products.

• Understand the importance of quantitative analysis in launching product-line extensions while taking into account demand and cost side interactions

• Combine both qualitative and quantitative data in choosing a targeted segment

• Reflect on the strategic and financial considerations in choosing a segment for a new technology product

• Evaluate the implications of experience curve and cannibalization when introducing product-line extensions and their impact on the decision under consideration

Understand the importance of quantitative analysis in launching product-line extensions while taking into account demand and cost side interactions

Combine both qualitative and quantitative data in choosing a targeted segment

Reflect on the strategic and financial considerations in choosing a segment for a new technology product

Evaluate the implications of experience curve and cannibalization when introducing product-line extensions and their impact on the decision under consideration

This case features the challenges of a startup in the crowdfunding space in 2015 as its leadership assesses potential sources of growth for the company s future. Founded in Israel in 2012 by a renowned venture capitalist, OurCrowd was a venture capital crowdfunding platform that strove to connect high-growth startups raising capital with accredited private investors from around the world. Its value proposition was to democratize an inefficient market for private equity that had historically been dominated by a small number of highly connected venture capital firms (VCs). The case asks students to put themselves in the shoes of OurCrowd s head of investor community as he prepares for a meeting with the company s board of directors to discuss potential strategies for growth: Should the company partner with the incumbent VCs it initially sought to disrupt, emphasize marketing its Portfolio Reserve fund, strive to provide its investors and investees with higher value-added services, target a broader swath of investors by aggressively marketing the platform in international markets, or attempt to go up-market and pursue increasingly larger deals with later-stage companies? Through assessing these options and discussing this case, students will learn about incentive problems in two-sided markets as well as how different types of crowdfunding platforms create value for users.

Describes the events leading up to the imposition of the London congestion charge. Views about the congestion charge, both pro and con, are presented. Also discusses, in general terms, the economics of traffic congestion, pointing out that an unregulated market for driving will not reach the social optimum. Contains sufficient data to estimate the deadweight loss in an unregulated market and the reduction of the deadweight loss due to the imposition of the congestion charge in 2003.

To provide a good illustration of how an unregulated market with negative externalities can lead to an overprovision of a good (in this case driving). Also, to show how an externality tax (in this case, London's congestion charge) can lead to an improvement in social welfare.

This case focuses on the challenge of quantifying the return on investment (ROI) of a large technology project, enterprise resource planning (ERP), in the nonprofit environment of the San Diego City Schools. The school district does not generate a profit, so traditional revenue enhancement arguments do not work. Instead, the case discusses the internal processes re-design and system consolidation enabled by the new ERP system. The system ROI is composed of two major components: cost savings from removal of legacy applications and productivity improvements. The cost containment benefits are relatively straightforward to quantify, but do not justify the system. The productivity improvements are harder to quantify, and many can be categorized as soft benefits. Furthermore, many of the productivity and cost-saving benefits will not be realized without personnel reductions, which are especially difficult in school districts and government agencies. The case debrief therefore discusses the tradeoffs quantifying soft benefits and productivity improvements, best practices for management decision making, and the organizational change necessary to realize the ROI.

The case teaches students how to analyze ROI for a large enterprise IT system in nonprofit or government organizations. Financial ROI is applicable for the hard cost benefits but some benefits are more difficult to quantify, and students learn how to factor these into the decision making as well. In addition, organizational change can be particularly challenging in the government or nonprofit context; the case enables a discussion of strategies for workforce re-deployment in these settings.

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.

Julie Smith, brand manager for dog food manufacturer Pedigree, has to determine how best to jump-start growth in the slumping business. The (A) case centers on the debate over which type of strategy to pursue, brand building versus in-store activity, while the (B) case focuses on the concept of cause marketing as a growth strategy.

The case examines the common challenge of building a very well-established business, and can be used to teach established business growth strategy, advertising, and cause marketing.

The first across-the-table negotiation between Google and China concluded successfully in 2006, when Google received a license to establish a local domain (google.cn) targeted at Chinese Internet users and not subject to the “Great Firewall.” During these negotiations both Google and the Chinese government struggled to reach an outcome that would be acceptable to their constituents. Google was caught between pleasing its shareholders and preserving its reputation for free access to information, while China was balancing the desire for cutting-edge search technology and the concern that liberal access to information would undermine its political-economic model. In the end, the negotiation resulted in Google operating two domains in China: Google.com and Google.cn. In early 2010, Google announced that its corporate infrastructure had been the target of a series of China-based cyber attacks and accused the Chinese government of attempting to further limit free speech on the web. These incidents led to a public conflict and private negotiations between Google and the Chinese government, which culminated in July 2010 when the Chinese government renewed the google.cn license knowing that Google was redirecting all Chinese customers search to its google.hk.com site This case concerns the changes in Google and the Chinese government's environment that led to Google withdrawing services from google.cn and the Chinese government saving face by renewing the google.cn license. The case is based on the publicly reported events surrounding two series of negotiations between the U.S. technology giant Google and the Chinese Government regarding Google's license in China.

In January 2019, Benedict Clarke needed to address the vacancies at retail shopping center Tulaberry Plaza. The rise in online shopping forced Tulaberry's anchor tenant into bankruptcy and weakened the outlook for retail more generally. Clarke must devise a plan that presents the most logical and profitable way forward for the shopping center. The case asks students to make leasing decisions from the perspective of the property owner, Clarke, giving them an appreciation for both the quantitative and qualitative factors that influence optimal leasing decisions.