Quadri, H A (2019) Value engineering decisioneering: A risk management tool in the project management office- case study of electricity distribution companies in Nigeria. PhD thesis, University of Maryland, College Park, USA.
Abstract
The Project Management Office is in its early adopter stage worldwide most especially in developing economies. The Wall Street crash in the 1930s led to the emergence of corpo-rate governance to contain agency problems which resonates with the recent global eco-nomic recession induced by recklessness in decision making, which now requires uncon-ventional but methodical engineering approach to business decisions. The unprecedented proliferation of the PMO in the last decade is an indication of its con-tinued growth and relevance as Center of Excellence in achieving business goals. Value Engineering is a function-oriented problem-solving methodology the PMO can integrate as a risk management strategy in decision-making to optimize scarce resources for opera-tional excellence and long-term growth. The objective of this research is to propose the adoption of VE as a risk management tool in the PMO and provide a framework to facilitate its adoption and application as a risk management tool in the PMO. This will result in the discovery of a new, consistent and repeatable decision making process capable of enhancing the PMO efficiency and the overall corporate performance. This research case-studied the PMO of Abuja Electricity Distribution Company and Kano Electricity Distribution Company in Nigeria. Electricity industry in Nigeria enjoyed an excruciating monopoly for over a century, bad leadership and inept project governance led to its privatization in 2013. The quests by the new investors to discover new tools and strategies to achieve higher returns on investment heralded the establishment of the PMO to leverage its capabilities to execute change management and build leadership compe-tencies. The research revealed the major drivers propelling and constraints hindering the success-ful adoption and application of VE in the PMO. However, the research discovered that prudent integration of VE as a risk management tool in the PMO will competitively repo-sition the electricity distribution companies, ceteris paribus. This research contributed to the body of knowledge in the theoretical underpinnings of the PMO and risk management literature. However, testing and validating the effective-ness of VE methodology as a risk management tool in the PMO overtime, become the objective of further research by the researcher or other researchers.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Baecher, G B |
| Uncontrolled Keywords: | emergence; change management; decision making; governance; integration; investment; leadership; privatization; recession; risk management; value engineering; Nigeria; case study |
| Index terms: | Nigeria, electricity industry, decision-making process, case study, governance, investor, recession, efficiency, project management, privatization, risk management tool, testing, risk management, developing economy, change management, value engineering, strategy, corporate performance, electricity distribution, Abuja, emergence, body of knowledge, agency, decision-making, methodology, integration |
| Subjects: | industry analysis, systems engineering, organizational analysis, decision analysis, sociology, project management theory and practice, performance measurement, management, performance management, energy systems, value management, risk assessment, data collection methods, business, Geography, financial risk, economic development, research methods, knowledge management, professional practice, economic analysis |
| Topics: | Cost Management, Business Strategy, Research Practice, Information Management, Stakeholder Management, Governance, International Construction, Organizational Design, Project Management, Geographical Context, Engineering Principles, Risk Management, Sustainability, Quality Management |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here