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This case studies the growth of OYO Hotels (OYO) to illustrate the operational processes necessary to succeed in the service sector. The case allows for a discussion of employee- and customer-management systems, tech-driven solutions, and profit drivers. The material unfolds OYO's growth and its solution for making economy hotels discoverable and bookable online.

The case raises a series of questions around OYO's business model, its ability to translate across global markets, and growth potential. It has been successfully taught in a second-year MBA class on the management of service operations.

We revisit the problem of redesigning the Master in Business Administration (MBA) program, curriculum, and pedagogy, focusing on understanding and seeking to tame its “wicked problems,” as an intrinsic part and challenge of the MBA program venture, and to render it more realistic and relevant to address major problems and their consequences. We briefly review the theory of wicked problems and methods of dealing with their consequences from multiple perspectives. Most characterization of problems classifies them as simple (problems that have known formulations and solutions), complex (where formulations are known but not their resolutions), unstructured problems (where formulations are unknown, but solutions are estimated), and “wicked” (where both problem formulations and their resolutions are unknown but eventually partially tamable). Uncertainty, unpredictability, randomness, and ambiguity increase from simple to complex to unstructured to wicked problems. A redesigned MBA program should therefore address them effectively through the four semesters in two years. Most of these problems are real and affect life and economies, and hence, business schools cannot but incorporate them into their critical, ethical, and moral thinking.

Fintech plays a prominent role in augmenting the financial inclusion of the population and increasing the money supply, which calls for the intervention of monetary policy. This article is an attempt to examine the relationship between the financial inclusion, fintech and monetary policy effectiveness of the Indian economy, within the framework of wealth creation and transmission mechanism through the cost of capital.

On the quarterly data retrieved from multiple sources, autoregressive distributed lagged regression is used to examine the relationship between different variables as explained in four set models; after which the Toda–Yamamoto causality test is employed to capture the direction of the relationship.

The study finds a positive relationship between financial inclusion, fintech and inflation taken as a proxy for Monetary Policy Effectiveness (MPE) in the short as well as in the long run. However, the relationship between fintech and inflation is negative once the cost of capital is included in the models. The causality test exhibits the uni-directional causality from fintech to MPE and MPE to financial inclusion. Bi-directional causality exists between wealth and MPE. Similarly, bank rate and interbank rate are bound by bi-directional causality.

Being financially included facilitates ease and boosts public access to more financial services and credit, leading to increased demand and hence inflation. Hence government and regulators need to take mindful measures to enhance the fintech development and financial inclusion to make the monetary policy effective.

As per the author's best knowledge, this is the first study to examine the relationship between fintech, financial inclusion and monetary policy effectiveness in the context of the Indian economy.