Red Flag Software Co.

Felix  Oberholzer-Gee; Tarun   Khanna; David  Lane; Elizabeth  Raabe

Case | HBS Case Collection | October 2005 (Revised February 2007)

Red Flag Software Co.

by Felix Oberholzer-Gee, Tarun Khanna, David Lane and Elizabeth Raabe

Abstract

In 2005, just five years after its formal launch, Beijing-based Red Flag Software was the world's second-largest distributor of the Linux operating system and was expecting its first annual profit. On a unit basis, Red Flag led the world in desktops (PCs) shipped with Linux and was No. 4 in installed servers. On a revenue basis, Red Flag was fourth overall. Within China, Red Flag held just over half of the Linux market and ran key applications for the postal system, large state-owned enterprises, and more than a million PCs. The Chinese government supported Linux as an alternative to Microsoft's Windows operating system to avoid royalty payments to foreign firms and dependence on foreign technology. Even so, Red Flag President Chris Zhao felt the same pressure many start-ups faced: How could Red Flag compete against a giant like Microsoft? And what competitive advantages could Zhao bring to bear against an experienced Linux veteran like Red Hat, a U.S.-based software company that had just announced its plan to invest to capture market share in China? Zhao worried that government support would evaporate if Red Flag performed poorly.

Keywords: Technology Platform; Competitive Advantage; Software; Business Startups; Globalized Markets and Industries; Information Technology Industry; Distribution Industry; Beijing; United States;

Format: Print

16 pages

Educators Purchase

Citation:

Oberholzer-Gee, Felix, Tarun Khanna, David Lane, and Elizabeth Raabe. "Red Flag Software Co." Harvard Business School Case 706-428, October 2005. (Revised February 2007.)

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural network algorithm—can shed light on questions related to CEO oral communication. With videos and corresponding transcripts of interviews with emerging market CEOs, we employ this synthesis of methods to discover five distinct communication styles that incorporate both verbal and nonverbal aspects of communication. Our data are comprised of interviews that represent unedited expressions and content, making them especially suitable as data sources for the measurement of an individual’s communication style. We then perform a proof-of-concept analysis, correlating CEO communication styles to M&A outcomes, highlighting the value of combining text and videographic data to define styles. We also discuss the benefits of using our methods versus current research methods.

Case | HBS Case Collection | January 2019 (Revised October 2019)

Rural Taobao: Alibaba's Expansion into Rural E-Commerce

Tarun Khanna, Ryan Allen, Adam Frost and Wesley Koo

Alibaba's Rural Taobao initiative had been launched in 2014 as a public service initiative to increase e-commerce adoption in China’s remote rural areas. In the first two iterations of the initiative, dubbed “1.0” and “2.0,” Alibaba had partnered with local businesses and young returnees to operate village stations. Village stations served as logistical and educational hubs to help villagers make online purchases. Despite significant growth in sales through village stations, the business model was operating at a loss, and competitors JD and Pinduoduo were growing quickly, threatening to challenge Alibaba by claiming the rural e-commerce markets. Bill Wang, the head of the initiative, was tasked with designing and implementing the next model for Alibaba’s future expansion into rural areas. The decision centers around whether Alibaba should copy the successes of competitors JD and Pinduoduo, escalate commitment to its original value proposition (hands-on service to villagers), or embrace an entirely new model. The case highlights the competing pressures of financial performance, CSR and corporate mission, government relations, and long-term competitive positioning that are common to major strategic decisions.

Keywords: strategy; Business growth; ecommerce; corporate social responsibility; Business and Government; emerging market; Market Platforms; Online Technology; Emerging Markets; Rural Scope; Growth and Development Strategy; Competitive Strategy; Corporate Social Responsibility and Impact; Business and Government Relations; Decision Making; China;

Citation:

Khanna, Tarun, Ryan Allen, Adam Frost, and Wesley Koo. "Rural Taobao: Alibaba's Expansion into Rural E-Commerce." Harvard Business School Case 719-433, January 2019. (Revised October 2019.) View Details

Cite View Details Educators Purchase

India's start-up ecosystem is amongst the largest globally, with a variety of funding options from angel investors, venture capital and corporate venture capital to debt. Classic consumer focused start-ups which look to leverage technology have been able to raise significant amounts of capital but the situation is more challenging for deep science and technology focused startups. This note focuses on these issues and the factors behind them.

Faculty & Research

Red Flag Software Co.

Abstract

Citation:

About the Authors

More from these Authors