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This case study is designed to enable students to analyze the competitive landscape of a business impacted by technological disruption; evaluate the viability of an organic growth strategy using stakeholder analysis; evaluate the revenue and cost structure of Apollo 24/7 and decide on the future investment strategy; and analyze funding strategies of traditional hospitals versus pure digital players.

To extend its reach, Apollo Hospitals Enterprise (Apollo Hospitals), a leading private sector brick-and-mortar hospital chain in India known for using state-of-the-art technology, launched a unified virtual mobile platform Apollo 24/7 in February 2020, 45 days into the COVID-19 pandemic. The management believed that the digital platform had a unique ecosystem that could not be replicated. The analysts were optimistic about the impact of the decision on the future performance of Apollo Hospitals, as it was expected to lead to higher penetration and increased revenue. They also anticipated the unlocking of value, as and when the venture capitalist (VC) would invest in Apollo Hospitals. However, with increasing operating expenses on account of burgeoning technological and marketing expenses, things did not seem to go going as planned. Three years later, in February 2022 after the Q3 of financial year 2023 results. Suneeta Reddy, the company’s managing director found herself pondering whether the digital platform could boost Apollo Hospitals’ profitability in addition to expanding its reach and increasing affordability when the company missed the analyst estimates. In India, which was then the second most populous country, “incremental access” and “affordability” were what mattered to the patients, However, for the investors and analysts, it was quarter-on-quarter performance. The change in the macroeconomic environment stalled the company’s plan of raising money from VCs.

Furthermore, the financing dilemma also plagued Reddy. She knew there was a difference between financing for conventional businesses that for digital businesses. She also had to take decide between short-term profitability with which investors were obsessed versus long-term sustainability, which involved taking care of stakeholders’ interests.

This case study is basically aimed at postgraduate courses and executive management courses.

Teaching notes are available for educators only.

CSS11: Strategy.

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.

Operations Management

MBA/Post Graduate

This case attempts to highlight a very common resource allocation dilemma in a real-life scenario. The majority of today’s problems are solved by the methodology of trial and error. This case shows how a generic trial-and-error solution, if buttressed by a proper quantitative methodology, can have substantial impact on the bottom-line of an organization. The case concentrates on three disparate focus areas in a didactic fashion, namely, the ability to retrieve raw data and convert it into a utilizable form if a quantitative method is to be applied; the ability to comprehend the resource constraints of a typical real-life situation; and the skill required to develop and solve an optimization problem in Excel Solver, a product which can easily be accessed by any practitioner.

Expected learning outcomes are as follows: students learn to formulate a Mixed-Integer programming model; to interpret optimal solutions and appreciate the application of “Optimization”; to recommend a resource allocation strategy; and to understand the importance of cost minimization in organizations.

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: 9: Operations and Logistics