Fetterhoff III, O G (2004) Comparative evaluation of strategic construction-market forecasting methodologies. PhD thesis, University of Florida, USA.
Abstract
The relative historical stability of the U.S. economy and its strong influence on the construction industry have allowed large U.S. design and construction firms to naturally grow and adapt to the slow changes of the construction-market. But business changed suddenly for many large firms in 2001. The economic recession, combined with the market fallout from the events of September 11, 2001, delayed or cancelled many design and construction projects. Despite these historic events, investor expectations prevailed, sending these firms searching to find new and alternative markets. This research sought to examine many of the challenges a marketing professional is confronted with when searching for new competitive markets. These challenges generally include questions regarding the key predictive indicators of construction activity, the methods of market forecasting, and the classification and selection of new potential markets. This research was also intended to initiate decisions regarding the spatial structure of a large design and construction firm. A review of the literature provided many different management approaches to strategic construction-market forecasting. Over 250 different indicators (in over 56 categories) were identified that could potentially influence construction activity within a given market. The literature review also provides an overview of the variety of forecasting methodologies that can be used to forecast and classify construction activity. Historical data were collected for all of Florida's 67 counties for the period 1990 through 2002. A new momentum forecasting methodology is presented that was derived from Sir Isaac Newton's three laws of motion. This unique forecasting approach (along with five other existing approaches) is used to forecast construction-market activity at the county level. The best key indicators of future nonresidential construction activity at the county level were found to be the total annual tax collections, the total annual assessed value of commercial land, and the total annual number of wage and salary jobs in a county. The current industry practice of using housing starts as a key indicator was found to be one of the least accurate indicators of nonresidential construction activity in the State of Florida relative to the other methods tested. A direct forecasting methodology (using a single variable) was found to be the most accurate predictor of future nonresidential construction activity. This was the simplest of all the forecasting methodologies used, and consistently outperformed the more complex statistical multivariate-regression techniques. The new momentum methodology was found to be a highly accurate alternative forecasting methodology that is less complex but more meaningful than the traditional statistical regression approaches.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | O'Brien, W J and Smith, M T |
| Uncontrolled Keywords: | construction activity; market; residential; construction firms; construction project; forecasting; marketing; markets; recession; professional |
| Index terms: | housing, construction project, methodology, stability, literature review, construction firm, markets, key indicator, land, construction industry, marketing, design and construction, construction activity, investor, recession, forecasting |
| Subjects: | sociology, industry analysis, structural engineering, research methods, production management, real estate economics, contractual arrangements, data analysis and analytics, construction operations, project delivery, economic analysis, prediction and forecasting, construction type, business, organization |
| Topics: | Procurement, Engineering Principles, Project Management, Construction Technology, Stakeholder Management, Research Practice, Business Strategy, Site Management, Urban Studies |
| Descriptive scope: | 4 PCTA |
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