Non-linear revenue creating business platform for IT service companies using cloud computing

The Indian Information Technology (IT) & Business process outsourcing (BPO) companies are going through an inflection point. They have been growing revenue by over 20% on a yearly basis for the last decade. This revenue growth has been fueled by a proportionate increase in employee headcount. Their ability to maintain the growth rate is in question, partly due to the difficultly in increasing the headcount and partly due to competition from multinational IT Service companies growing their business in India. In order to continue to grow, the Indian IT companies need to change their business model and look for nonlinear revenue growth, which is independent of the resource deployed or effort spent. Cloud computing provides a new strategic option for growth for the Indian IT-BPO companies. This thesis looks into Business Service Platform based on cloud computing and how the IT companies can leverage it to generate nonlinear revenue. It also explores ways to implement the business platform, along with risks and challenges involved. The IT companies would need to change their current sales and marketing process, along with talent recruitment guidelines and training content in order to successfully roll out the platforms, on which its future growth is dependent.

Department dc:contributor.department

Sloan School of Management.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Sinha, Prasanta, S.M. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Michael Cusumano.

• Sloan School of Management.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/73420

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/73420