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This study aims to investigate the factors that contribute to the overall tour experience and services provided by Top Tier Holidays. The study is mixed in nature, and the researchers have used analytical tools to analyse the data factually. Multiple regression using MS Excel is used in the study.

This case is based on the experiences of a real-life travel and tour company located in New Delhi, India. The case helps understand regression analysis to identify independent variables significantly impacting the tour experience. The CEO of the company is focused on improving the overall customer experience. The CEO has identified six principal determinants (variables) applicable to tour companies’ success. These variables are hotel experience, transportation, cab driver, on-tour support, itinerary planning and pricing.

Multiple regression analysis using Microsoft Excel is conducted on the above determinants (the independent variables) and the overall tour experience (the dependent variable). This analysis would help identify the relationship between the independent and dependent variables and find the variables that significantly impact the dependent variable. This case also helps us appreciate the importance of various parameters that affect the overall customer tour experience and the challenges a tour operator company faces in the current competitive business environment.

This case is designed for discussion with the undergraduate courses in business management, commerce and tourism management programmes. The case will build up readers’ understanding of linear regression with multiple variables. It shows how multiple linear regression can help companies identify the significant variables affecting business outcomes.

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.

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.

First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?

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.

The case has the following learning objectives:

1. understand the various types of comparisons that are possible between groups over time and across space;

2. evaluate a policy intervention using relevant data and different methods; and

3. understand the meaning of the phrase “controlling for other relevant factors” in regression and non-regression contexts.

The difference-in-differences (DID) approach is a useful tool for making meaningful comparisons. This case tries to provide a non-technical introduction to the approach using a basic comparison of crime rates among districts in Punjab (Pakistan's largest province). Being the most populous region of the country, Punjab faces many governance challenges, and street crime is one of them. (Exhibit 5 provides additional information about the geographical and administrative setting used in this case study.) In 2016, Chief Minister Shahbaz Sharif established the Dolphin (police) Force in different locations to improve urban patrolling and reduce street crime. There were debates about the effectiveness of the Dolphin Force (DF).

Those who are skeptical of DF point to various situations that were handled incorrectly by DF personnel, as well as other administrative and operational problems in the initiative. Optimists believe it is beneficial and want it to be expanded to other districts and regions. The threat of street crime claims many lives and, according to optimists, necessitates the formation of a special force. Whether the huge resources invested in the DF worth their lot or not can be known through sound statistical analysis that can identify the difference in the rate of crime because of the DF. In this instance, the case provides information to answer the following question:

Is there a significant difference in crime rates between areas where the DF is operating and districts where it has not yet been installed?

In quantitative/statistical analysis classes, the case can be used to teach the DID technique to MBA/MS Applied Statistics/Applied Data Analysis students. It can also be used in undergraduate Econometrics classes.

Teaching notes are available for educators only.

CSS 7: Management Science.

Narayana, the head of Market Dynamic's (MD) Telecom vertical was working on the data analysis plan for the research on the telecom project that they had done for CWP. CWP was a well known consultant and had conducted a research with MD to generate consumer insights in the telecom space. These would help bring credibility for CWP and help in business development. CWP had requested for an early delivery and Narayana was planning to work on the analysis plan himself as his chief analyst was on leave. This case highlights the importance of an analysis plan in research. Specifically, it illustrate the role of different tools in data analysis and familiarizes participants with various tools and their applications. This case would be useful for students in Business Research and Market Research courses.

Cases currently available on business model canvas pertain to large multi-national companies. However, this case takes the happenings at a relatively small business and applies the business model canvas there. Through the case, the authors illustrate how small Indian businesses in various small towns and cities are adapting to the disruptions in their businesses. In addition, insight regarding omnichannel operations and their implementation and decision-making at the level of such small businesses is also provided.

The case intends to acquaint participants with the business model canvas and its application in evaluating business models, identifying shortcomings and adapting business models accordingly. The case also provides an overview of how small businesses across India are adapting to the disruptions brought about by their traditional business models. The case also provides insights into omnichannel operations and the challenges of implementation.

Small family-owned establishments/businesses today are faced with an onslaught of disruptions to their prevalent ways of doing business. This case deals with one such business, Rita Cloth Store. The case follows in the footsteps of Sampa Kar, who realises the need for re-evaluating their decades-old business and rethinks their business model to adapt to the changing times and consumer habits. She must consider a number of measures to transform Rita Cloth Store as she attempts to change the decades-old business models to ensure its survival.

The case can be taught in undergraduate and post-graduate courses on entrepreneurship, business models and operations strategy.

Teaching Notes are available for educators only.

CCS 3: Entrepreneurship

EC-Creamery is an Eau Claire, WI based dairy processor selling yogurt products throughout the Midwest region of the U.S. Inaccurate forecasts have wreaked havoc in the company, leading to frequent stockouts and creating operational challenges. Your task is to draw on the information you obtain from your colleagues to develop sales forecasts, document your choices and procedures and share your thoughts and insights on issues related to forecasting and sales & operations planning.

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