Search results

Technology has come a long way in the financial industry since the days of hard share certificates. The industry has been evolving at a very fast pace and today almost everything is online. Back in 2010, Nithin Kamath decided to set up an online brokerage platform that was capable of meeting the needs of the retail customers in the most efficient way. Efficiency for him meant both execution efficiency and cost efficiency. He was able to introduce zero commission trading to consumers and yet generate revenues through a business model never considered by the leading brokers during that time. The firm has ever since been growing based on the principle of Technology first by bringing valuable services to the customers. Interestingly, the firm has spent little on marketing and the growth has been riding on the back of customer satisfaction.

The transparency and consistency of Zerodha provided them mileage and the business model certainly disrupted the Indian brokerage industry. The zero-commission model was successful in attracting consumers and provided tough competition to other brokers. However, competitive advantage coming solely from low pricing may not always be sustainable in the long run. This case explores the sustainability of the business model and looks at alternatives that are important for a long term scale-up of Zerodha.

The learning outcomes are as follows: to decipher the role of technology in the supply chain management (SCM); to understand the importance of supply chain integration with various stakeholders in the supply chain in increasing efficiency and effectiveness; and to comprehend the challenges in the implementation of technology in SCM.

This case study presents Haryana’s challenges in implementing the digitization of the supply of food grains to the public. Mr Srinivas, a consultant to the Department of Food and Public Distribution, is required to suggest the future roadmap while accounting for the challenges faced in the digitization of the distribution of grains to the public in the state of Haryana. The students are expected to use the information given in the case and exhibits to discuss and critically think about the various stakeholders involved when change initiatives are implemented on an organizational level and recommend solutions based on the voices of various internal stakeholders.

Postgraduate/Masters in Business Administration/Masters in Management.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

The purpose of this paper is to use Twitter analytics for analyzing the startup ecosystem of India.

The paper uses descriptive analysis and content analytics techniques of social media analytics to examine 53,115 tweets from 15 Indian startups across different industries. The study also employs techniques such as Naïve Bayes Algorithm for sentiment analysis and Latent Dirichlet allocation algorithm for topic modeling of Twitter feeds to generate insights for the startup ecosystem in India.

The Indian startup ecosystem is inclined toward digital technologies, concerned with people, planet and profit, with resource availability and information as the key to success. The study categorizes the emotions of tweets as positive, neutral and negative. It was found that the Indian startup ecosystem has more positive sentiments than negative sentiments. Topic modeling enables the categorization of the identified keywords into clusters. Also, the study concludes on the note that the future of the Indian startup ecosystem is Digital India.

The analysis provides a methodology that future researchers can use to extract relevant information from Twitter to investigate any issue.

Any attempt to analyze the startup ecosystem of India through social media analysis is limited. This research aims to bridge such a gap and tries to analyze the startup ecosystem of India from the lens of social media platforms like Twitter.