Advisor

Tugrul U. Daim

Date of Award

Spring 6-10-2014

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management

Department

Engineering and Technology Management

Physical Description

1 online resource (xiv, 310 pages)

Subjects

Capability maturity model (Computer software), Offshore outsourcing, Information technology -- Management, Quality control -- Standards

DOI

10.15760/etd.1842

Abstract

Western countries' information technology and software intensive firms are increasingly producing software and IT services in developing countries. With this swift advancement in offshoring, there are many issues that can be investigated which will enable companies to maximize their benefits from offshoring. However, significant challenges can occur throughout the lifecycle of offshoring IT service projects that turn the potential benefits into losses. This research investigated CMM/CMMI best practices and their effects on managing and mitigating critical issues associated with offshore development.

Using a web based survey, data was collected from 451 Information Technology and software development firms in the US. The survey instrument was validated by an expert panel which included practitioners and researchers. The survey population consisted of Information Technology and software engineering managers who work on offshore IT and software development projects. Statistical methods including Chi Square and Cramer's V were used to test the research hypotheses.

The results of the analysis show that IT companies applying CMM/CMMI models have fewer issues associated with IT offshoring. When US IT companies utilize and incorporate different practices from TSP and People CMM into CMMI for DEV/SVC and CMMI for ACQ, they have fewer offshoring issues related to language barriers and cultural differences.

The results of this research contribute to the existing body of knowledge on the offshoring of IT services from the client management perspective and provide practitioners with increased knowledge regarding IT offshoring decisions.

Description

Statistical results are available as a PDF in the Additional Files below.

Persistent Identifier

http://archives.pdx.edu/ds/psu/12195

Share

COinS