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Data used to develop the case included primary data from employees and supervisors of a commercial floorcovering manufacturing plant in Northwest Georgia. The case company is not disguised.

The survey was developed using existing instruments from the Organizational Behavior and Human Resources Literature. Instruments were listed in Exhibits 2 through 7. The survey administration had the support of the Vice President for Resources and Facilities, and employees and their supervisors were given time to complete the surveys. The data gathered was analyzed by the researcher using SPSS statistical software.

Established in 1957, J&J started as a family-owned business but had grown and diversified its product offerings by focusing on commercial flooring. It survived several economic downturns and remained competitive in a market dominated by more prominent flooring manufacturers. J&J Industries strived to empower its 800 employees with various incentive programs. Employees remained loyal to J&J; many had worked for the company for over 15 years. However, management wanted to measure the impact of empowering and initiatives on employee performance and satisfaction to determine the real power of employee incentive programs. The Resources and Facilities Vice President employed Professor Lopez, a Management Professor, to develop a survey to measure these constructs and analyze the data to guide future incentive programs. Data from the employee and supervisor survey was provided along with the statistical analysis results for interpretation and recommendations for VP Fordham.

The target audience for this case is primarily students in a research methodology course and students studying quantitative regression analysis and interpretation. The focus is predominantly on graduate-level students in Master of Business Administration or Master of Accounting programs in business. Graduate students should have completed courses in management or organizational behavior, business statistics or quantitative methods or data visualization and cleaning as background knowledge for this case. Specifically, students should understand regression analysis and know when and how the tool is used for managerial decision-making.

In April 2015, Shannon Enberg, Managing Director of Real Assets at the United Kingdom Telecom and Technology Pension Scheme (UKTTPS), received a startling memo from the fund's board of directors. In a nutshell, the board sought to reduce the fund's multimillion-pound annual expenditure on management fees by asking all managing directors to drastically cut the number of private managers being used to manage UKTTPS assets. Enberg was told to cut the number of her external managers in half, but given the illiquidity of her private equity investments in commercial property, she would be allowed to make the decision to rehire each manager (or not) as each of her investments matured. UKTTPS had two investments in closed-end property funds that had just liquidated their final holdings at the end of 2014. Both managers had new funds being raised that could recycle the investment proceeds, but now that she was being forced to cut back, Enberg wondered whether either was really worth rehiring.

Students are expected to integrate decision-making tools and frameworks to create decisions under uncertainty. Students are expected to understand the general business process of fuel retail industry.

PT. Pertamina Retail (PTPR) is a subsidiary of PT. Pertamina, an Indonesian state-owned oil and natural gas company. In the first quarter of 2020, PTPR’s sales volume decreased due to the COVID-19 pandemic’s large-scale social restrictions. Iin Febrian was just appointed as President Director in March 2020; he must formulate a survival strategy facing COVID-19 pandemic uncertainties. The case elaborates on PTPR’s decision to expand immediately or hold. Scenarios and expected values have been given to simplifying the calculation of a decision tree. The case also challenges students to think critically on providing a strategy to survive during the COVID-19 pandemic and beyond using decision tree analysis and BCG Matrix or Ansoff Matrix.

BA level and MBA program in Decision Analysis Course or Strategic Management Course.

Teaching notes are available for educators only.

CSS 11: Strategy.

In the early months of the 2007-08 financial crises, a loan manager faces a real estate financing decision. Should he approve a bullet structure three-year loan to a longstanding client, a legendary Texan developer? The developer, who near retirement downsized his business, is seeking financing for his only project: residential or commercial development on an attractive piece of land in suburban Houston. The loan manager considers the decision in light of the mortgage market turmoil, seeing commercial projects as safer, but also factoring that the residential market could bring higher returns if the market stabilizes soon. The manager collects the data and asks an analyst to assess the risks; that ultimately requires assessing the economics of both projects from both the bank's and the developer's perspectives. The bank could still change the interest rate on the loan to receive adequate compensation for the risk it carries, but the loan manager knows that doing so will change their long-term client willingness to take on the loan.

Edward Rowan, 89 year-old patriarch and the Rowan family were trying to decide if they should start a vineyard in the Nova Scotia Annapolis Valley. Edward had a life-long dream of starting a vineyard on this five-acre farm. Edward, his son David and granddaughter Mary along with their respective spouses had agreed to be partners and provide financing to start the vineyard. The time had arrived to make a decision because they had to order the vines by the end of the month. While they have an extended family to provide free labor for planting, pruning and harvesting along with free access to the necessary machinery, they wanted to be sure that they did not lose money on the venture. They recognized the first four to five years would not generate profits, but they wanted to ensure that in the long term the venture would be viable.

This case was developed from an interview with Donna Rowan, a documentary review of the family’s estimates as well as an interview with the owner of a well-established vineyard in the Annapolis Valley. Secondary sources were used to provide information on the industry and average costs to operate a vineyard. The case uses a partial disguise with respect to the names of family members. The case was tested at the Atlantic Schools of Business student case competition where ten teams from different Atlantic universities participated. The authors were not judges and all suggested changes have been incorporated in the case.

The relevant courses are: managerial accounting undergraduate programs; intermediate accounting and entrepreneurship courses in undergraduate programs; second-level accounting and entrepreneurship courses in MBA programs; and professional accounting programs’ CPA.

The case deals with marketing research study undertaken to introduce a new product in the market. The company was planning to introduce Cerenity, a toilet seat sanitizer for women who frequently use shared restrooms. The case discusses the conclusive study undertaken involving quantitative marketing research. The research team carried out quantitative survey and collected the data. It applied various quantitative research methods such as factor analysis, multiple regression, cluster analysis and conjoint analysis for analysis the collected and drawing managerial inferences.

After completing this case, students should be able to: identify and compute relevant cash flows in relation to a real estate project and compute the net present value (NPV). Determine the target return or cost of capital (by looking at historical economic indicators). Design or formulate a sensitivity analysis to determine the drivers of the project value. Evaluate real estate and other investments taking qualitative and quantitative factors into consideration. Demonstrate the computation of a break-even rate to determine the minimum or maximum revenue or cost required for a project to be viable.

This case study is about the Golden Beak Securities Pension Fund that wanted to invest in a Hostel Project in one of the universities in Ghana. Most universities in Ghana faced an acute shortage of on-campus accommodation. Also, the Government of Ghana, in 2017, implemented a programme to make Senior High School in Ghana free. This was expected to increase the number of students who will enter the existing universities. The project was therefore seen as strategic, as it would help ease the pressure of on-campus accommodation while providing diversification for the pension fund. As part of the investment committee’s (IC) quest to improve the skill set available to it, especially in relation to real estate investments, Esi Abebrese was appointed as one of the members of the IC of GSB. Her main task was to collect information on key macroeconomic variables, as well as granular information on project costs and revenues and conduct investment appraisal. Esi was scheduled to make a presentation to the IC on the 15th of October 2019 following which the Committee will debate and make a decision. The project had an estimated cost of GH¢52m with a total number of 3,424 student beds and ancillary facilities. Undertaking the project required moving funds from investments in money market securities with one of the banks in Ghana. The investments in the money market securities were currently yielding about 16% a year. The determination of the cost of capital was critical and Esi and Nana eventually settled on a long-term weighted average cost of capital of 14%. This was after considering the trend of inflation, monetary policy rates, treasury rates, stock market returns and a report on returns on commercial real estate properties in Ghana. An exit capitalisation rate of 20% was also estimated for the purposes of determining the value of the property at the end of the investment horizon. Esi also obtained estimates of cost and revenue for the project and proceeded to carry out a feasibility analysis on the project. This consisted of an NPV analysis and sensitivity analysis on various factors to determine the drivers of the project value. The IC had to take several factors (both quantitative and qualitative) into consideration before making a decision. Esi believed that these factors included the diversification of the fund’s assets, the return on investment, potential oversupply of hostel accommodation, the social responsibility of providing student accommodation and the impact of any prolonged shutdown of the university.

Masters/advanced undergraduate.

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 1: Accounting and Finance.

At the end of the case students will be able to:

1. Relate risk as one of the 12 principles in project management contemplated in the international standards of the PMBOK Seventh Edition guide.

2. Determine high-level risks by articulating the WBS and RBS of a construction project.

3. Perform a qualitative and quantitative analysis of the probability and impact of risks through the heat map tool and the Expected Monetary Value (EMV) technique.

4. Propose the different response strategies contemplated in the risk management through the formulation of a response and contingency plan.

MORESA S.A.S was a family company founded in 1994, whose value proposition focused on construction and permanent advice for the execution of innovative and contemporary projects with more than 27 years of experience in the city of San José de Cucuta, department of Norte de Santander, Colombia. The objective of the case is to Relate risk as one of the 12 principles in project management contemplated in the international standards of the PMBOK Seventh Edition guide; Determine high-level risks by articulating the WBS and RBS of a construction project; Perform a qualitative and quantitative analysis of the probability and impact of risks through the heat map tool and the Expected Monetary Value (EMV) technique and propose the different response strategies contemplated in the risk management through the formulation of a response and contingency plan. The teaching case is designed for academic programs in areas of knowledge of civil engineering, architecture and at postgraduate level such as: Master’s in civil engineering, Master’s in risk management, Master in project management or MBA. For this case, an expert judgment was developed with professionals belonging to different areas of knowledge. Likewise, secondary information was collected from the organization's strategic documents and the analogous estimation through the historical records of the project portfolio developed by the construction company. Finally, the case, classified in the Built Environment, a challenge that project managers must face in VUCA environment through risk management.

The teaching case is designed for academic programs in areas of knowledge of civil engineering, architecture and at postgraduate level such as: Master’s in civil engineering, Master’s in risk management, Master’s in project management or MBA. In the modules of risk management, project management, international standards, the case guides the applicability of methods and artifacts used in risk management considering the process identification, quantitative, qualitative analysis, and development of response strategies and contingency plans.

Teaching notes are available for educators only.

CSS 2: Built Environment.

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

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.