Search results

The learning outcomes of this study are to recall the fundamental concept of revenue management in the hotel industry (remembering); explain the various performance measures used to evaluate room revenue in hotels (understanding); use revenue management strategies to improve room revenue in hotel operations (applying); and examine and evaluate the optimal solution for revenue enhancement, considering factors such as capacity management, duration control and differential pricing (analyzing).

This case study delves into the challenges faced by Hotel King’s Cross, a business hotel located in Pune, Maharashtra, in the year 2022. A week before Christmas Eve, Soham Dande, the hotel’s revenue manager, sought a meeting with Rohan Chopra, the director of sales and marketing, to discuss “revenue optimization for the hotel.”

During their meeting, Dande mentioned that the hotel had fallen behind its budgeted room sales targets for 2022 across various metrics, such as room booking nights, occupancy percentage, average room rate and revenue per available room. Furthermore, the hotel was trailing behind its competitors. The situation was compounded by the management’s decision to raise the targets for 2023 by 5%–7%, factoring in upcoming events, competitive performance and pandemic-related losses over the past two years. Chopra faced the dilemma of formulating an action plan to achieve the ambitious 2023 targets and establish Hotel King’s Cross as a market leader.

Students undertaking executive development programs and graduate-level courses in non-profit hospitality and tourism management, as well as revenue management courses in the executive MBA, management development and graduate MBA programs, may all benefit from this case study.

Teaching notes are available for educators only.

CSS12: Tourism and hospitality.

Management of Innovation and Technology/Management Information Systems.

Information Systems.

SER (Sugar, Energy & Rum) was a company belonging to the Grupo Pellas Corporation. The company operated in four countries, had six subsidiaries, employed more than 25,000 people, had more than 43,500 manzanas of sugarcane crops in Nicaragua alone and had global annual sales of more than US$400m. In 2008, due to the negative effects of the crisis on the company’s business model (increasing costs due to higher prices for fuel and decreasing income because of low international sugar prices), the company decided to implement a business intelligence (BI) system to optimize its processes to reduce costs and increase productivity. At that time, the company had more than 100 years of data, information systems that fed into their main business processes and a culture that appreciated data as the basis for decision-making. However, there were inconsistencies among data systems, users received highly complex reports in Excel or green screens and process monitoring happened long after the tasks had been completed. As a response, SER used extract–transform–load to collect and clean data that would be used in the BI system (the case leaves the questions regarding the systems selection unsolved for discussion). Based on their business model, they selected the most critical processes and defined key performance indicators to measure the impact of changes in those processes. They considered graphic design as a tool to make the system more accepted by users and worked together with users so that reports only offered the most important information. The result was improved costs and productivity. They decreased manual time spent by 14 per cent, automated time spent by 10 per cent, and eliminated 1,556 hours of dead time for equipment in the field, which allowed them to increase productivity by US$1m just in sugar. They saved 20,000 trips from the fields to the factories, which represented more than US$1m in savings by monitoring the weight of wagons loaded with sugarcane in real time. They improved client perceptions about the company both locally and internationally by implementing a sugar traceability system.

The case “Business Intelligence at the Grupo Pellas SER Company” has as its objective to respond to the question: How does a company make its BI system implementation successful? As such, the case: Discusses what a BI system is and what it provides to a business analyses challenges, benefits and context when implementing a BI system; analyses success factors and recommendations in the BI system implementation process; analyses the process of implementing a BI and highlights the importance of the system priority questions and technological alternatives.

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 11: Strategy

After reading this case study, the students will be able to identify the various choices available in social e-commerce using network marketing, interpret data-driven decisions in social e-commerce and evaluate their role in scaling business, analyse cost and revenue management in value segments, evaluate technology adoption among the masses using appropriate communication structures and develop customer relationships and manage their sentiments in the era of social media.

DealShare became a unicorn in 2022 and targeted the rural and low-income groups. Based on a networking model for customer acquisition and a hyperlocal supply chain model, DealShare is increasing its customer base at a rapid pace. However, profitability was still a challenge, and converting high volume into high value continued to be a daunting task. This case study delves deep into the challenges co-founder Sourjyendu Medda and the DealShare team faced. It seeks to address key issues: how should DealShare leverage customer network for faster customer acquisition and how should they increase ticket size and profitability? As a data-driven business, what advantages does DealShare have in influencing customers’ buying behaviour using data? Dependence on social media could have a cascading effect on “word of mouth”. How can they manage customer complaints and increase engagement?

This case study has the potential to be used in different settings. In strategic cost management, this case study can demonstrate strategies for cost management in the value-conscious segment. This case study can be used in marketing management courses while teaching “positioning” in business-to-consumer markets and CRM. For second-year management students, this can be used in entrepreneurship and strategic management courses to demonstrate the network effect in social e-commerce start-up businesses. This case study is also relevant for various course modules in graduate management programmes to demonstrate the power of data-driven decision-making in business.

Teaching notes are available for educators only.

CSS 8: Marketing

This case was successfully taught in a second-year MBA marketing course on the science of behavior change. It would be suitable for first-year MBA and executive education programs. The material would work well on courses on women in business, women as leaders and women in data science. The female protagonist creates a tech platform and uses a data-driven model.

Marketing – it was used in a module around leveraging existing insights and creating new ones in marketing strategies. The course is structured around a “pathway to behavior change” framework. This case focuses on the analysis segment of the model, introduces targeted behavioral challenge(s) and lends itself to identifying consumer insights, biases and behaviors. It uses that analysis to learn about the market, competition and gaps to fill.

This case uses a startup in the retail industry to explore the leverage of behavioral science to enrich a business model and structure a marketing campaign. The material unfolds the testing of an innovative process and use of persuasion to align business practices with human behavior and scale. In addition, it gives the opportunity to discuss how a minimal tech solution could bring in market data and provide a test platform to larger clients.The founder of Rohvi, Sara Whiffen, created a platform that allowed shoppers to buy clothing items from local retail stores, use them and after a few wears, return the items for partial store credit. The business model was based on Whiffen’s experience in the automobile industry with used cars. Following her first few years in the business, Whiffen had to make some decisions around engaging clients on two sides – retailers and consumers. How can an innovative startup leverage behavioral science to persuade multiple stakeholders?

• Learn marketing concepts in material and a tech platform featuring a female protagonist and team; • practice evaluating a product and capturing value using behavioral science; • understand consumer/business biases and practice forming and delivering a persuasive message; • learn to leverage and create new insights to aid behavior change in business-to-consumer (B2C) and business-to-business (B2B) contexts; • analyze behavioral insights to identify new opportunities in a competitive marketplace; • unfold a framework to explore consumer motivation in recommerce; and • explore the use of experimentation in changing consumer behavior and improving decision-making.

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

Females need to be represented in core business education curriculum such as data analysis in addition to classes focused on social equity and business. This all female executive team pursued an innovative process built on a technology platform using a data-driven model to gain enterprise clients. The material offers an opportunity to explore sustainability.

CSS 8: Marketing

Ontela, a technology start-up company, has introduced an innovative service called PicDeck that improves the mobile imaging experience for wireless subscribers. Ontela sells PicDeck to wireless carriers, who in turn private-label the service to their subscribers. Ontela must decide which customer segments it should target for the service and how to create a positioning strategy and a marketing communication plan to promote it. It must also consider the value proposition of the PicDeck service for wireless carriers (its direct customers), who need to be convinced that the service will lead to higher monthly average revenue per user (ARPU) and/or increased subscriber loyalty. Part A of the case provides qualitative information on customer personae that represent different customer segments. Students are asked to develop a targeting and positioning strategy based on this qualitative information. Part B provides quantitative data on customer preferences that can be used to identify response-based customer segments, as well as demographic and media habits information that can be used to profile the segments. Students are asked to revise their recommendations based on the additional quantitative data.

The case reinforces the principles of data-driven customer segmentation, discusses the appropriate criteria for selecting segments, and provides a deeper understanding of the benefits and drawbacks of different approaches to identifying and evaluating segments. The case illustrates how the results of data-driven segmentation may run counter to approaches that rely on “gut feel” or qualitative information alone.

Ontela, a technology start-up company, has introduced an innovative service called PicDeck that improves the mobile imaging experience for wireless subscribers. Ontela sells PicDeck to wireless carriers, who in turn private-label the service to their subscribers. Ontela must decide which customer segments it should target for the service and how to create a positioning strategy and a marketing communication plan to promote it. It must also consider the value proposition of the PicDeck service for wireless carriers (its direct customers), who need to be convinced that the service will lead to higher monthly average revenue per user (ARPU) and/or increased subscriber loyalty. Part A of the case provides qualitative information on customer personae that represent different customer segments. Students are asked to develop a targeting and positioning strategy based on this qualitative information. Part B provides quantitative data on customer preferences that can be used to identify response-based customer segments, as well as demographic and media habits information that can be used to profile the segments. Students are asked to revise their recommendations based on the additional quantitative data.

The case reinforces the principles of data-driven customer segmentation, discusses the appropriate criteria for selecting segments, and provides a deeper understanding of the benefits and drawbacks of different approaches to identifying and evaluating segments. The case illustrates how the results of data-driven segmentation may run counter to approaches that rely on “gut feel” or qualitative information alone.

This case presents the staffing problem of Manuel Garcia, president of Saint Catherine School (SCS). He needed to incentivize quality teachers to stay with the school but he faced three challenges. First, the school is located in a far flung city in Mindanao, Philippines. Second, the city is economically depressed and the parents are price-sensitive. Third, the school is dependent on tuition revenue and collections barely cover school expenditures. Manuel would have to find creative solutions and defend his decision to the teachers and the Board of Trustees.

The researchers relied on primary data to write the case although the Chairman opted that the school name and all the characters names be disguised. The researchers interviewed individually the Chairman of the Board, President, Vice Chancellor for Academics, University Registrar, Finance Director, and Human Resource Manager of the school. The researchers also interviewed faculty members as a group. The information on the exhibits were culled from reports presented by the administrative team.

The short case is a learning tool for students taking a degree in educational leadership and management. It can be used as part of an integrating module for graduate students. By this time, students would have had prior lessons in financial, trend, and ratio analysis. The case can also be used to reinforce lessons in the following courses at the undergraduate or graduate level: human resource management, data-driven decision making, financial resource management, educational policy, and even communication. Further, the case is suited for school administrators attending executive development programs. Running a school is more than managing the curriculum. There is a business side that has to be considered. This case helps teachers-turned-administrators consider the financial implications of human resource management decisions. In this instance, salaries and benefits.

HP sells configure-to-order products. With millions of part combinations going into an order, the challenge is deciding which parts to keep in the portfolio to balance costs with revenues. The case explains how one would approach this problem before product introduction, but focuses on managing the existing portfolio.

Students will develop a systematic, data-driven approach to decide on the best product portfolio to sell for a configure-to-order business. Which SKUs are candidates for a “global core” product offering? For an extended offering? For elimination?

New entrepreneurial businesses are one of the key drivers of innovation and economic development. However, one of their greatest obstacles is accessing capital, especially since they are often initially unprofitable and lack tangible assets in the first few years of operation. Since debt financing from banks can be difficult for them to obtain, their capacity for growth can be limited. This case introduces students to Kabbage, a company that reduced the barriers associated with start-up and microbusiness lending by using a fully automated, data-driven platform. Kabbage made instant decisions on whether these businesses should qualify for a line of credit by reviewing its clients’ electronic data, analyzed quickly and accurately using specific algorithms.

Given the applied nature of the case, the data were gleaned from a wide range of secondary sources, specifically popular business press which was verified for authenticity.

This case can be used in a variety of undergraduate courses. Some course examples include small business management, introduction to entrepreneurship or entrepreneurial finance.

This case introduces the context of seaport logistics supply chain management with a focus on the issues of risk management in handling and transportation of dangerous goods (DG). The authors present the following learning objectives under the overarching framework of Bloom’s Taxonomy as follows: To understand the severity of handling and transportation of DG in the export supply chain context. To understand the relevance of multi-criteria decision-making in risk assessment. To apply Delphi Technique to appropriately explain the process of risk assessment in a supply-chain context.

It was midnight on December 21, 2020, and Nishadh Amonkar, Chief Executive Officer, Yorokobi, was still awake recollecting his telecon with Tushar Rane, the Head-Materials, Western Maharashtra site of Crop Life Pvt Ltd. The organization was developing and manufacturing pesticides and other specialty chemicals for its clients worldwide. As new and diverse products were being manufactured in the organization, transportation of the products was becoming challenging. The case highlights the need for a data driven risk assessment approach to manage supply chains that were prone to product driven risks such as the handling and transportation of DG.

This course is suitable at the Master of Business Administration level for the following courses: Supply Chain Management (Focus/Session: Supply Chain Risk Management), Logistics Management (Focus/Session: Risks in Logistics and Supply Chain), Research Methodology (Focus/Session: Application of Delphi Technique).

Teaching notes are available for educators only.

CSS 9: Operations and logistics.