The Self-Tuning Enterprise: How Alibaba uses Algorithmic Thinking to Constantly Reinvent Itself

Author: 
Reeves, Martin
Responsibility: 
Zeng, Ming, jt. author
Venjara, Amin, jt. author
Publisher: 
Harvard Business School Press
Date published: 
2015
Record type: 
Journal Title: 
Harvard Business Review
Source: 
Harvard Business Review, Vol. 93, No. 6, June 2015, pp. 76-83
Abstract: 

Information service company Alibaba.com Ltd. is used to illustrate the self-tuning strategy for modulating a firm's rate of experimentation depending on circumstances. When Alibaba was founded, Internet penetration growth was uncertain. At each stage of the company's evolution, Alibaba generated new business models and allowed them to run as separate units. The emphasis was on identifying and molding strategic opportunities rather than executing plans. With systems that support feedback and fluidity, the firm is able to adapt to change; the separate business units launch co-creation sessions the moment a relevant market stimulus is perceived. In this manner, Alibaba is able to succeed in unpredictable environments.

Language: 

CITATION: Reeves, Martin. The Self-Tuning Enterprise: How Alibaba uses Algorithmic Thinking to Constantly Reinvent Itself . : Harvard Business School Press , 2015. Harvard Business Review, Vol. 93, No. 6, June 2015, pp. 76-83 - Available at: http://library.africa-union.org/self-tuning-enterprise-how-alibaba-uses-algorithmic-thinking-constantly-reinvent-itself

Printer-friendly version Send by email