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Risk managers have more tools than ever to help protect their companies from risk. Complex financial instruments, intricate mathematical models, and access to massive amounts of data can help the risk manager structure a multifaceted strategy to decrease volatility and protect the company from a catastrophic event. However, these tools have their own risks that can complicate a risk manager's job.

Analyzing corn price volatility helps students understand four best practices for risk managers, regardless of the specific risks they face or the strategies they employ: quantify the company's exposure; understand the nature of the risk; understand how the hedge works in practice; and separate hedging and speculation.

In early December 2013, Roxann Biller, Associate at the Chicago-based private equity firm Delta Quantitative Real Estate Capital, was asked to assess the risk associated with the firm's first potential overseas investment. Haifu Sentā Gendaino (HSG) was a large multi-tenant logistics property located in the Gaikando area of Tokyo. High-quality tenants currently occupied the property, so at first glance the risks of investing in the property seemed minimal. However, Biller knew that she had to consider the potential drawbacks. This would mean gaining a better understanding of each tenant, trying to forecast the future condition of the Tokyo logistics market, and considering what new risks her firm would face because the property's cash flows were in a foreign currency.

Forecasting.

The case is intended for Postgraduate level management students.

The purpose of this case study is to explain various forecasting techniques, their applicability and the importance of forecasting to the students. This case also explains the management situations where the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions. The case is focused on the district of Etah of the state of Uttar Pradesh in India. The real-life situation of elections in this district of an Indian state has been taken to explain the critical nature of forecasting accuracy in a management situation where the manager has only one chance to execute his project. Discussion in this case is limited to explaining various techniques available for forecasting and their applications and does not provide a solution to a management problem.

The students are expected to understand various forecasting methods and the managerial situations where these can be applied. The case also explains situations where it becomes extremely important to have fairly accurate estimates of future requirements and the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions.

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CSS 9: Operations and Logistics.

In early 2018, Diana Mulhall was undertaking a career change that would eliminate the need for frequent business trips to Toronto. As a result, she wondered whether she should sell her condo in the heart of the Canadian city or keep it as a rental property to generate income for herself. The housing market in Toronto was booming, so Mulhall believed that the condo would fetch top dollar as a sale. She also thought it would be easy to attract tenants if she kept it as a rental. She had invested in rental property before but never outside of her hometown of Chicago, so Mulhall needed to identify the key risks associated with being a landlord in Toronto.

The learning outcomes are as follows: to understand and develop the framework for the selection of location; to understand the resource-based theory (RBT) of entrepreneurship and develop the framework for RBT; to project a firm’s growth path in terms of achieving size; to analyze the important obstacles for same; and to calculate and forecast accurate market demand and customer footfall.

Abdul Jabbar Soomro recently quit his corporate job to achieve one of his dreams. He had always wanted to establish his own business venture and to be a successful entrepreneur. After completing his MBA in 2005, he started his career with one of the multinational companies at a very handsome salary. However, after 10 years of a corporate job, he left the job and started his own food venture. He faced a lot of challenges from his family, but he pursued his dream and started searching for the best location. By October 2015, he was all set and ready for the inauguration of his branch. He received a very positive response from market, and the number of customers kept on increasing on a daily basis. The major reasons behind his success were the environment, ambiance and product quality as promised. After two years of successful operations, Abdul Jabbar Soomro was wondering either to start a new branch or to proceed for expansion and better space management at the existing branch. He was unable to accommodate all the customers at his existing space.

BBA

Teaching Notes are available for educators only.

CSS: 3 Entrepreneurship

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.

Josh Williams is a Student at the NAU who has driven buses on campus and wants to improve the transportation on campus. He is convinced that purchasing a new type of bus that is more fuel efficient, has larger capacity, better designed for boarding, and has a longer life is worth the higher purchase cost. He sets out to prove it by creating a discounted cash flow (DCF) analysis. Since many of the estimates for the DCF analysis are uncertain, he decides to perform a Monte Carlo simulation (MCS) analysis. Students are asked to step into Josh’s role and perform the analysis.

Josh Williams was a Student in the authors’ MBA program. Both authors teach in this program and one author was the Advisor for Net Impact and worked with Josh to present his idea to the university administration. The authors have changed a name or two but otherwise, the case describes a real situation in a real organization without disguise.

The authors have used this case in a first semester MBA-Applied Management course, Decision Modeling and Simulation. Students already have experience with DCF analysis and have been introduced to MCS. With this case, students apply MCS at the conclusion of a three-week module on predictive analytics. Students have run at least two MCS models and have become comfortable with the software. The case would also be appropriate for a senior-level undergraduate course such as business analytics or management science. It might also be useful for other courses that include the MCS modeling technique learning objectives such as project management.

This case provides an opportunity for students to perform an MCS analysis. MCS is useful when many of the inputs to a DCF analysis (or any model) have been estimated and the modeler is concerned that the estimates are uncertain and could perhaps be a range of values. MCS can be used to understand the effect of this uncertainty on NPV which in turn may affect the decision. The case could also be used without MCS focusing just on the DCF analysis with deterministic sensitivity analysis.

This case consists of conversations with six prominent venture capital investors in the United States. The topics covered include investment strategies and relationships with entrepreneurs in the United States and around the world.

Through this case, students will not only learn about the latest development of this emerging industry, IoT, but also gain a systematic understanding of “ecosystem strategy” and get to know a new corporate growth model called “co-creation”.

This case describes why and how Advantech Co., Ltd. (hereinafter referred to as Advantech) has transformed in the age of the Internet of Things. Aware of the ecosystem attributes of the IoT industry and committed to the company’s principle of “altruism”, Advantech strategically positioned itself as an “IoT platform provider” and an “enabler” for IoT applications. After carrying out a reform in terms of internal management, external cooperation, and development model, Advantech has evolved from an industrial computer maker to an IoT solution provider. Since the launch of the “co-creation model” at the end of 2016, Advantech has drawn attention from many excellent companies in traditional industries. With the Internet of Everything close at hand, Chairman KC Liu is well aware there are many challenges to overcome as Advantech strives to build an industrial IoT ecosystem, the “evolution” continues.

MBAs, EMBAs and senior executives.

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CSS 11: Strategy

The learning outcomes of this case study are as follows: It presents an opportunity for the instructors to introduce the concept of decision-making on matters involving risk (like scaling the business) using in-depth market research techniques. The case’s central idea is to make the students understand the growth of the online service delivery model, with a specific example of home-cooked food that also improves social welfare. It is expected to provide the participants with an opportunity to understand the decision-making by the leaders in newly established companies. It enables future managers to analyze a venture’s pros and cons before deciding to expand.

Chef Junction is an online food delivery platform that allows customers to order hygienic home-cooked food prepared by handpicked home chefs in Bhubaneswar. This city in eastern India is one of the fastest-growing metros, is regarded as a study hub, and provides ample employment opportunities making it one of the sought-after destinations for the migrant youth population. The idea behind Chef Junction is to cater to the healthy food needs of the young by utilizing the culinary productivity of the home cooks, empowering the latter by opening up an extra source of income. These chefs prepare delicious healthy food, usually not listed for sale with online food delivery apps. Chef Junction earned revenues by adding an order-dependent commission on the price quoted by chefs and accepting a flat delivery charge from the customers. This offer was very lucrative for home chefs who could join the platform with zero investment and flexible working hours. The customer’s pockets were also handled when several offers and discounts were rolled out through an attractive pricing strategy. Chef Junction expected to improve its patrons’ health quotient by ensuring the nutrition of the home-cooked food, thus contributing to social welfare. With food being delivered from home to home amalgamated with social welfare and empowerment of home chefs, especially women, this case study is an apt example of a sustainable work-from-home model that has proved effective in crisis times. The pertinent question is: “How feasibly can CJ’s business model grow towards an expansion as the demand increases?”

This case study has been prepared keeping in mind the teaching pedagogy for graduate and postgraduate management programs in strategic management, operations research, entrepreneurship and marketing management. It is also expected to be useful for training courses such as management development programs, faculty development programs and executive programs, in discussing service operations in general and online delivery logistics, in particular for working executives and industry practitioners.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.