Petroutsatou, K and Giannoulis, P (2022) Analysis of construction machinery market: The case of Greece. International Journal of Construction Management, 22(9), pp. 1667-1674. ISSN 1562-3599
Abstract
Research into the construction equipment market and the predilections of its stakeholders is very limited. The aim of this article is to address that void by analysing Greek equipment market sales and its consumers over the last fifteen years from 2000 to 2015. This analysis can provide key information on market share, portfolio and products falling into decline, production decisions and forecasting. Forecasting is important for resource planning in the machinery sector. Planning in turn supports decisions and supports organizational learning. Sales analysis helps optimize production and in deciding for a stock or lean approach in everyday business. Sales analysis can indicate customers' intentions and thus anticipate future product needs. This can aid innovative product delivery by introducing a demand-driven supply network (DDSN) by building supply chains in response to demand signals. Especially within the machinery sector, there are a lot associated objectives to be considered such as client naivety, accessibility to data sales and political climate; all are factors that determine customers' habits. For this purpose, a survey was conducted that highlights basic concepts regarding equipment market characteristics. The results propose actionable recommendations for products, together with competitiveness and growth strategies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction equipment; construction output; machinery market; time series |
| Index terms: | construction output, product delivery, habit, Greece, survey, strategy, organizational learning, time series, resource planning, competitiveness, forecasting, construction equipment, market share, accessibility |
| Subjects: | market analysis, professional development, construction equipment, Geography, inclusive design, management, resource management, prediction and forecasting, data science, product delivery, operations management, health behaviours and lifestyles, data collection methods |
| Topics: | Supply Chain Management, Design Practice, Site Management, Research Practice, Geographical Context, Project Management, Information Management, Business Strategy, Plant and Equipment |
| Descriptive scope: | 5 PCTEA |
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