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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.

Illinois Superconductor Corp. a technology start-up, came up with an innovative new superconducting filter for use in cellular base stations. It needed to estimate the demand for its filters. The manager came up with a simple chain-ratio-based forecasting model that, while simple and intuitive, was too simplistic. The company had also commissioned a research firm to develop a model-based forecast. The model-based forecast used diffusion modeling, analogy-based forecasting, and conjoint analysis to create a forecast that incorporated customer preferences, diffusion effects, and competitive dynamics.

To use the data to generate a model-based forecast and to reconcile the model-based forecast with the manager's forecast. Requires sophisticated spreadsheet modeling and the application of advanced forecasting techniques.

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.

Faeyee Electronics was an electronics company that manufactured and sold smartphones including XS and XT types. The management of Faeyee wanted to pursue the maximum contribution margin as much as possible, especially since they were faced with limited resources. It was necessary to apply analytical tools and cost accounting concepts to study this case including cost-volume-profit analysis, learning curve analysis, regression analysis, definitions of competitive products, constrained non-linear optimization, and contribution margin.

The case uses business analytics tools and cost accounting concepts, including regression models and constrained optimization approaches, to study how to maximize business outcomes, such as contribution margin and profits when limited business resources are available. The company and individuals are disguised.

This case can be used in any junior-, senior-, masters- or MBA-level managerial accounting course. Students need to have at least one course of introduction to statistics or instructors review required statistics concepts or techniques before assigning this case. Students are exposed to the challenges of deriving learning curve models, using regression analysis to study collected data and allocating limited resources to maximize contribution margin.

Corporate entrepreneurship; Intrapreneurship; Human Resources.

MBA students in Human Resource, entrepreneurship and/or PhD students in the areas of Human Resource, Corporate Entrepreneurship and/or on Intrapreneurship studies.

This case reveals that progressive change originated from individual’s positive deviance approaches, opportunistic sensitivity, ability to learn, evaluate and the ability to develop ideas on how to exploit or pursue identified opportunities (intrapreneurial behaviour).

The student will learn to deal with the complex nature of organisations and the tendencies of institutional processes to be uncertain, unpredictable, and uncontrollable; appreciate the internal workings of an organisation, the external environment; and understand the role of generative leadership, positive deviance, novelty ecosystems and intrapreneurial behaviour and the fact that connections and interactions in a social network are non-linear or non-proportional. This means that complex system predictions can be much more than simple regression predictions. They will be able to apply both bottom-up and top-down influences from proactive leadership or generative leadership events and benefit from positive results and the emergence of innovation.

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: 3 Entrepreneurship.

Agricultural Trade, Farm Management, Economics of Food Safety

Both undergraduate and postgraduate studies in Agribusiness and Agricultural Economics.

The pineapple production sector plays a very significant role in the Ghanaian horticultural industry. Production and export of fresh pineapple has been Ghana’s most developed high-value supply chain. However, the introduction of the GlobalGAP food safety standard in 2007 resulted in a fall in smallholder farmers’ participation in exportable pineapple production and subsequently led to declining trends in pineapple exports. The Ghanaian horticultural industry received quite a number of interventions over the years aimed at revitalizing the horticultural export sector and enhancing international competitiveness. However, the pineapple export sub-sector is still constrained with production and market access challenges meaning the sector struggles to survive.

The GlobalGAP standard compliance case is an appropriate way of explaining how smallholder farmers make informed decisions concerning the adoption of new farm practices. The case presents a careful evaluation of technical, institutional and socio-economic factors influencing a farmer’s decision to comply or not to comply with the GlobalGAP standard. Students should be able to apply farm management decision-making concepts and tools such as profit maximization and binary choice modelling techniques to explain a farmers’ final decisions on GlobalGAP standard compliance. This case should enable students to appreciate key factors constraining agricultural export trade performance in developing countries. The case should also contribute to students’ understanding of smallholder farmers’ decisions on food safety standards compliance, particularly GlobalGAP, and the challenges associated with the entire compliance process. Moreover, this case should provide students with possible policy considerations geared towards making food safety standards compliance easier, effective and sustainable in developing countries so as to enhance market access while ensuring food quality and safety along high-value food supply chains.

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 7 Management Science

Roger Osayende, a former management consultant, must advise the Ministry of Health of Ektu, a fictional country in Central Africa, on how to implement a new point-of-care diagnostic test for infants with HIV. In Ektu, mothers often transmitted HIV infection to infants during pregnancy, delivery, or breastfeeding due to inadequate resources to invest in prevention efforts. The existing procedure to diagnose infants with HIV required collecting dried blood samples at more than two hundred healthcare facilities around the country and transporting them to a central laboratory in the capital for testing. This process was characterized by significant delays due to long transportation times, batching of samples in transportation and processing in the lab, and concomitant congestion in the lab. This delay resulted in loss to follow-up, that is, lost patients due to mothers not collecting their infants' results. A new point-of-care device was about to be introduced, which would obviate the need for this centralized processing and the resulting diagnostic delay. The key decision under consideration is where to place the devices to maximize their effectiveness.

Understand the importance of making public health decisions based on a data-driven, logical framework   Uncover the link between operational performance of the healthcare system and health outcomes at the population level   Appreciate the relevance of operational decisions in enhancing or diminishing the effectiveness of a medical technology   Use process analysis concepts to characterize various components of delays