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The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating the winning bids in various auctions concerning highway repair jobs using data on past auctions. The decision maker is faced with various professional, statistical, and ethical dilemmas.

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

The case study can be used in both undergraduate and postgraduate levels. Students pursuing Master of Science in Logistics, Supply Chain Management and those doing bachelor degrees in the same areas can have a better insight and special interest of the case. Professional boards may also use the case to empirically make students understand this area.

The railway sub-sector in East Africa – Tanzania in particular – is an important transport mode but has a declining performance. The market share is estimated at only 4 percent of the freight market. Still knowledge about traffic, particularly for freight, is scant. The main dilemma is whether traffic of the central corridor is more intra- or inter-Tanzania. The case studies techniques appropriate for meaningful traffic forecasting and through a simple regression model it resolves the freight conflicts between Kenya rail and the Central Corridor. It provides students with applied traffic forecasting tools.

The case focuses on techniques of traffic forecasting, development of traffic scenarios and on issues related to intermodal transport especially between road, rail and ocean. At the end of using this Case students should be able to: explain the methods, techniques and models used in traffic forecasting; understand intermodal linkages in international Logistics; use different approaches to make logistics market assessment; and forecast traffic in all modes using different scenarios.

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

Nicolas Dupont, the owner of Chateau de Montana, a struggling (and old) boutique hotel in Crans-Montana Ski Resort, Switzerland, wished to renovate and reposition his family-owned hotel to target higher room rates. Dupont commissioned Olga Mitireva and Yulia Belopilskaya as consultants to assess the proposition. The consultants had to extract cues for the room rate of the repositioned hotel from comparable hotels. However, the room rates varied significantly across similar hotels due to their differing characteristics and locations. It was a cognitive challenge to read the patterns from a few comparable hotels. They collected the data of 200 hotels from similar locations and simulated room prices using hedonic regression models.

The financial success of dairy farms depends critically on the price of their main output, milk. Large volatility in the price of milk poses a considerable business risk to dairy farms. This is particularly true for family-run dairy farms. The question then arises: how can a farm owner hedge the milk price risk? The standard approach to establish a price floor for a commodity such as milk is to purchase put options on commodity futures. At the Chicago Mercantile Exchange, farmers can buy put options on the price of a variety of milk products. However, the price a farm receives for its milk depends on many factors and is unique to the farm. Thus, a farmer cannot directly buy put options on the price he receives for the milk his farm produces. Instead the farmer needs to determine which of the options available for trade at the Chicago Mercantile Exchange offer the best hedge for his own milk price. The assignment in this case is to examine historical data on several prices of milk products and the milk price received by a family-run dairy farm in California. Students need to find the price that is most closely correlated to the farm's milk price and to then choose options with the appropriate strike price that serve as the best hedge for the farm's price risk.

The objective is to expose students to an interesting but simple finance application of linear regression analysis. To solve the case, students must run several simple linear regressions, then use the best regression model they find to make a prediction for the dependent price variable and analyze the prediction interval in order to achieve the desired objective outlined in the case. By completing the case, students will acquire a good understanding of their regression model and its usefulness.

To examine and create an ideal pathway model that can implement aiming to change the current improper practices in managing municipal solid waste (MSW) to sustainable practices. To acquire a better understanding of public participation and community culture helps in achieving the aim of reducing the amount of waste generation, sending less waste to landfill sites and encouraging the reuse and recycling of materials instead. To help students whom the awareness in the community regarding the importance of protecting the environment and acting in a civilization way has increased. To improve the MSW sustainability practices and enhance the waste sustainability practices together with energy and material conservation. To have more extensive knowledge and awareness of issues in waste management and some of the dilemmas managers of strategic and operations face.

Abu Dhabi’s center of waste management is known as Tadweer is a governmental entity under the Abu Dhabi Executive Council. Tadweer is responsible for managing every MSWs includes collecting, transferring, segregating, treating, recycling, reusing and tracking all kinds of wastes. CEO of Tadweer Dr Salem Alkabi called his team that manages various departments such as strategy, operations, projects and licensing. The meeting was to discuss Tadweer’s future directing and strategy for mismanagement of solid waste dumping into landfills in Abu Dhabi. Dumping in landfills is the main challenge Tadweer faced. Mr. Abdulrahman Albloushi’s strategy and business development executive director of Tadweer highlighted to Alkaabi how Tadweer could improve the waste management practices to make it more sustainable. Furthermore, assisting the center gets more benefit from the waste s instead of losing this valuable waste into landfills. Consequently, Mr. Abdulrahman must grapple with some difficult questions: how much the effectiveness in collecting waste from where it generated and removing it out-of-sight?

This case study is designed for undergraduate and postgraduate students, and executive MBA students of business management programs, especially for waste management, environmental management and strategic management courses.

Teaching Notes are available upon request.

CSS 4: Environmental management.

Odds & Edge, a micro venture based in Ahmedabad, India, has created a niche for itself in the affordable designer wear segment. Covid-19 induced lockdown pushed Odds & Edge to the brink of collapse. And because of the severe cash crunch partners need to take a call regarding the continuation or closure of the venture. The case is intended to be discussed in an entrepreneurship class for post-graduate level participants. The case setting is inside Odds & Edge and it was May 01, 2020, when Ms Jheel Jain - a partner & the protagonist, needed to decide the future of the venture. Participants will have a brief understanding of entrepreneurial traits and will also learn about the Ansoff Model of expansion in case of continuation and the different exit choices for an entrepreneur. As Odds & Edge operates in the fashion industry, students will be able to understand the concepts such as Ecopreneurship, Circular Economy, and Trashion. The case follows through the background of Ms Jain, the ideation stage, and the players in the Trashion Industry. It then moves on to the operation of Odds & Edge narrating the process, products, and partners of the venture. The case ends with the decision dilemma for Ms Jain i.e. should she continue? If yes then how could Odds and Edge expand & grow? Or Should Jheel surrender and exit? If yes then what are the probable exit choices for her?

1. to understand the concept of Ecopreneurship, Circular Economy and Trashion; 2. to identify and discuss common entrepreneurial traits; 3. to analyze the Ansoff Matrix for exploration of various expansion/growth strategies; and 4. to understand different exit strategies available to an entrepreneur.

The case is intended to be discussed in an entrepreneurship class for post-graduate level participants.

Teaching notes are available for educators only.

CCS 3: Entrepreneurship.