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thyssenkrupp Steel Europe, a major European steel company, operates a so-called push-pickling line (PPL) in Bochum, Germany. The PPL produces a particular type of steel strips that are sold to B2B customers, mainly in the automotive industry. In spring 2014, a senior vice president of thyssenkrupp Steel's production operations and one of his production managers notice that over the span of ten years the production facility regularly did not meet its planned production volumes. They set out to determine the drivers for the deviations from planned production figures with the ultimate goal to improve the production planning process at the Bochum PPL. Students will step into the shoes of Markus Schulze a production manager at thyssenkrupp Steel as he searches for performance drivers at the Bochum PPL and analyzes recent production data to build a forecasting model for production planning.

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.

This case is used in the Marketing Analytics elective at Darden. A Sticks executive team is interested in opening a second quick-service restaurant in Richmond, Virginia. But before doing so, the team wanted to gain a better sense of who were Sticks' customers, which location would attract the best customers, and how to best connect with customers. An opportunity to gather survey data presented itself. Would the demographic and psychographic assumptions the team had gathered from talking to people in stores align with the survey answers? And what would the data suggest about where to locate new stores and about what marketing channels and messages to use to promote them?

Supply chain management and particularly the significance of vendors as a strategic decision making tool.

The case is suitable for use in the following courses: MBA programs with specialisation in operations management where it can be used to teach students the significance of vendor selection and vendor rating in supply chain management (SCM); marketing research in management where it can be used to highlight the concept of multi attribute utility theory (MAUT) and its application; advanced statistics for multi criteria decision making (MCDM); and MBA/post graduate programs in management in strategic management where it can be used to introduce the concept of SWOT analysis and Porter's five forces model. An understanding of business process improvement will enable students get a comprehensive view about the case.

This case showcases the concepts of MCDM and SCM in manufacturing industry. The company wanted to select vendors and rate them in each category of raw materials in order to have a competitive advantage over competitors. Since there are multiple attributes (often contradictory in nature) based on which the vendors would be selected Kaul, Vice-President, Commercial uses multi-attribute utility theory (MAUT) to help solve the problem. The case has implications for manufacturing industry in selecting vendors to meet a raw materials need.

The case can be used to understand management concepts such as market research, supply chain management and multi criteria decision making. It can be used to: teach complexities involved in identifying attributes for vendor selection and vendor rating; help understand supply chain management in business process improvement; help students understand the application of MCDM; and help MBA students studying marketing research. The case will also be useful to students in understanding the application of MCDM in operations management. Some knowledge about cigarette manufacturing will help students to realize the depth of the case.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

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.

Organisational Development, Organisational Behaviour, Leadership Change.

Master of Business Administration, postgraduate studies, middle or senior managers on open programmes.

The case focuses on the dilemma that Douglas Lines, Nedbank’s Divisional Executive for Strategic Business Unit, South Africa, faced when a new sense of urgency was required to cultivate a culture of collaboration in Nedbank to overcome their silo-mentality.

Examine the current and recommend the preferred culture of Nedbank to enable collaboration; critically analyse and evaluate the suitability of the current structure recommend restructuring; insight into how contextual leadership contributes to collaboration in organisations; present judgement of strategies in initiating and enhancing collaboration to overcome silo-mentality.

A DVD is available with link and password. Teaching Plan and slides are available. The four learning outcomes are posed as questions for groups to discuss and model answers are provided as well as linking them to relevant literature.

CSS 7: Management Science.

Identify, compare and contrast current and aspirational organisational cultures. Describe desired leadership capacities and how these contribute to building a culture and strategy. Describe ways to align culture with strategy including building an ambidextrous organisation.

Growth remained flat for Tech SA towards the end of 2016. As a subsidiary of a global information technology services firm, Tech SA was under pressure to meet its growth plan. With this in mind, a new culture and values framework to be more innovative, collaborative and responsive had been adopted. This was to match the demands of the volatile, uncertain, complex and ambiguous world the company finds itself in. While the organisation had a tradition of serving long-standing clients and contracts to high standards, it was not used to working with radical change and disruptive innovation. To achieve this, significant changes in leadership behaviours were required. The organisation had recognised the need for these changes and a leadership development programme was devised to enable 200 of its top leaders to make the required cultural and behavioural shifts to lead in these times. Although the leadership programme was well into its second year, the targets of the growth plan had not been achieved and the leadership behaviours had not yet been instilled across the business. If the growth plan was not achieved, John would need to consider cost-cutting and retrenching. This was the last thing John wanted to do as he had worked alongside his colleagues for 12 years. What else could John do and say to the leaders to make the required changes urgently needed as a matter of survival? What would it take to deliver to existing clients and explore new products and markets?

Masters, Masters of Business Administration (MBA), Executive MBA and Executive leadership.

Teaching Notes are available for educators only.

CSS 7: Management Science.

This case introduces a framework for cost modeling. Two data sets (one for injection-molded plastic parts and another for compressors) allow students to apply the cost-driver framework in conjunction with basic spreadsheet and regression analyses. Although obviously applicable in a course on supply chain management, the case can also be used to teach competitive cost analysis for strategic decision making.

In this case study, the alternative route designs were observed to significantly decrease transportation costs and the total distance traveled. This decrease in logistics requirements almost halved the annual number of shipments and the time needed for operation and documentation activities. In addition, reduced carbon emissions made this an environmentally friendly transportation model, in line with trends in society.

The basis for this case study was the analysis of Whirlpool Turkey’s transportation system for materials used in the production of white goods. Data obtained through fieldwork and cooperation with company consultants showed that some suppliers have high annual logistics costs. This inefficiency causes time loss and increases the total distance traveled and thus carbon emissions. In the case study, the current application created inefficiency in cost and time management, and therefore, after determining the factors that increase costs, different transportation solutions were developed accordingly.

This case is particularly designed for undergraduates in the final semester of management courses that specialize in supply chain and operation management.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

The learning outcomes are to remember the overall context of global supply chain management from a stakeholder perspective, to understand the context of material handling movement in a mining industry, to apply the overall knowledge of linear programming in a supply chain context, to analyze the different constraints with flow of goods at different nodes in various location hubs and convert the same into the optimization problem and to evaluate carefully the different costs associated at different levels and then finding the optimal solution that minimizes the total cost.

This case proposes a mixed integer multi-echelon analytical model integrated with the scenario tree analysis. The integrated model is used to optimize the allocation of volumes at various stages of the supply chain of exporters of bulk materials like iron ore from Goa, India, to various countries in Asia. The scenario tree analysis is then used to evaluate decisions under certainty with demand as the stochastic parameter. The proposed integrated model has potential for collaboration in the supply chain and facilitating network design, inventory and transportation planning and policy analysis.

This course is suitable at the MBA level for the following courses: Operations Research (Focus/Session: Applications on Supply Chain Management), Supply Chain Management (Focus/Session: Global Supply Chain Management, Logistics Planning, Distribution Network), Logistics Management (Focus/Session: Transportation Planning) nd Operations Strategy (Focus/Session: Location Node Strategy).

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.