The case concerns a real $25 million program consisting of nine concurrent projects to deliver and implement a custom-built in-store customer relationship management (CRM) system and a new point-of-sale system in 400 stores of a national retail chain. The name of the company has been disguised for confidentiality reasons. Once deployed, the new system should give Clothes ‘R’ Us a significant strategic advantage over competitors in the marketplace; it will increase in-store manager productivity, cut costs, and ultimately drive increased sales for the retail chain. The program is in crisis, however, because the product managers have just left to join a competitor. The explicit details of the program are given, including examples of best practice program governance and the real activity network diagram for the program. Detailed Excel spreadsheets are also provided with the actual earned value data for the program. Students analyze the spreadsheets and the data given in the case to diagnose the impact of the most recent risk event and past risk events that occurred in the program. Ultimately students must answer the essential executive questions: What is wrong with the program? How should it be fixed, and what is the impact in time and money to the program? In addition, qualitative warning signs are given throughout the case—these warning signs are red flags to executives for early proactive intervention in troubled projects.The goal of the case is to teach complex program oversight. Students analyze actual earned value data for a real $25 million program consisting of nine concurrent programs and assess the impact of risk events as they occur in the program. A key takeaway of the case is that relatively simple tools (Excel spreadsheets and time tracking) combined with good project planning can be used to effectively control very complex projects. Students also learn the qualitative warning signs within programs that can serve as early indicators of problems.
Influence of Point-of-Sale Tobacco Displays and Graphic Health Warning Signs on Adults: Evidence From a Virtual Store Experimental Study
