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Construction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes.

An interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted.

It is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling.

This study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

Many studies examine manufacturing performance along individual benchmarking dimensions. This study aims to develop a performance metric based on quality and output volume among other variables to assess a firm's manufacturing competitiveness in relation to its major rivals.

The relative manufacturing performance is measured by data envelopment analysis (DEA). Several key manufacturing practices are examined for their impact on performance. They are research and development (R&D) commitment, time compression during production, and degree of outsourcing. The results are based on a sample from the world automobile industry.

The empirical results suggest that a strong R&D commitment and ability to compress production time explain 37 percent of the manufacturing performance differences among major volume automobile producers. A nonlinear convex relationship is also found between outsourcing rate and manufacturing performance. The results show how the resulting performance ratings can then be utilized to assess the effects of a selected group of practices on manufacturing performance.

Since, there is a common basis for the sources of competitiveness among industries, the findings derived from this study are probably transportable to other industries. Also, the proposed metric and analytic approaches are generic and thus can be broadly applied to other industries. The results also suggest the need for further analysis of where improvements can be made within a given company, according to its firm‐specific characteristics.

Examines manufacturing performance along individual benchmarking dimensions and develops a performance metric based on quality and output volume to assess a firm's manufacturing competitiveness in relation to its major rivals.

I In a number of publications, but especially in the Boston Consulting Group's booklet Perspectives on Experience, it has been argued that a profitable corporate strategy is to maximise market share. This is because as accumulated output increases, average costs are supposed to fall substantially. This is attributed to economies of scale, technological progress, learning by doing and so forth. It is the present writer's contention that this argument is of doubtful validity. The aspect of the Boston Group's representation that has attracted considerable attention is the learning by doing aspect, but we shall begin our argument by examining the economist's view of costs.

Construction is repeatedly criticised for its low productivity based on statistical data that do not represent the output of construction adequately. The purpose of this paper is to improve the understanding of construction output – being the numerator in construction productivity calculations – by focussing on changes in quantity of the products, product characteristics and composition of the aggregate rather than as changes in price.

The research design of this study applies statistical data from the national accounts along with data from four paradigmatic case studies of social housing projects covering a period of 50 years.

The results indicate that while construction output prices have increased threefold over the past 50 years, improvements in performance can only explain approximately 20 per cent.

The developed four-step method has demonstrated its value as a means to measure changes in the characteristics of the product, but more studies on the actual figures and results over time and regions are required before solid conclusions can be drawn.

This study has added new knowledge of construction output that supports the development of a more accurate construction statistics, which in turn can assist the design of more effective and evidence-based policies for improving construction productivity.

This paper describes and demonstrates a novel performance-based methodology for addressing changes in the characteristics of the products in a longitudinally perspective, which can potentially provide a better understanding of changes in productivity.

This paper presents the results of a major survey and case study of UK manufacturing plants in six major industrial sectors: electronics, process, engineering (capital), engineering (consumer), household goods and food. The paper explores the conditions under which volume flexibility is required by manufacturing plants. The major driver of volume flexibility requirements in manufacturing plants was found to be demand variability regardless of differences in sector, product and other plant characteristics. Other major drivers of volume flexibility were demand uncertainty, short product life‐cycle, short product shelf life, supply chain complexity and action of competitors. The applicability of most of these drivers is independent of the industrial sector. Drivers may be generic or may be dependent on the contextual or sectoral characteristics specific to a plant. The requirement for volume flexibility is, therefore, dictated by the specific conditions which a plant is faced with, and the degree of volume flexibility required varies widely.

Information provided for managers by an accounting department can be divided into two broad categories: (a) information which will help managers to control future costs incurred, and (b) information which will enable managers to be well‐informed when making decisions involving a choice between alternative courses of action. Both accountants and managers need to understand the way in which costs respond to changes in the level or type of activity if appropriate information is to be presented and used effectively. Furthermore, the ability to employ techniques such as standard costing, budgetary control and marginal costing, which are commonly used in planning and controlling organisations' activities, must be based on an appreciation of the basic relationships between costs and volume.

A case‐based research approach is used to illustrate the power of modelling manufacturing performance measures and to help develop insights into the nature and problems evident when attempting to use simulation across different enterprise sectors. The research methodology used considered three specific companies, each with distinctive characteristics and attributes; a small to medium enterprise, a medium to large enterprise and a large enterprise. From a cross‐case analysis of the use of discreet‐event (DE) simulation when applied in these instances, the research attempts to develop policy implications that will provide a better understanding of how simulation studies should be approached across different manufacturing enterprises.

The study develops a mathematical model of the firm to derive theoretical foundations for the balanced scorecard concept (BSC). The model is based on several parts which are integrated into a company model. This model includes the demand function, the production function and the objective function of the firm which are depicted by traditional microeconomic concepts. Demand is presented as a function of price and customer relationship management (CRM) costs. Production is assumed to depend on labor, capital, and development and learning (D&L) costs. Simple dynamics is included both in the demand and production function. The strategy of the firm is depicted by the objective function based on profit and net sales. The output variables of the model are classified as the four perspectives of BSC. The effects of the objectives (strategies) on the importance (shadow prices) of the constraints are analysed. It is shown that a change in the objectives may alter the order of their importance. Thus, a change in the strategy should be accompanied with a change in the focus of BSC. Furthermore, non‐financial and financial performance ratios may change in opposite directions, when the strategy is shifted towards revenue maximization. Thus, inconsistencies with the interpretation of cause and effects may emerge, when the strategy is shifted. Numerical examples are presented to demonstrate the results.

ALMOST everybody who is in the position of employer or staff selector has received applications from graduates who are quite certain they have all the qualities necessary to fill the post advertised or who, writing in on the off chance, imply that they possess everything required to warrant a position specifically manufactured for them to fill. The only snag is that when a close look at their diploma is taken, it reveals that they have received it for work done in a totally useless field. We have heard of a case of an applicant with a PhD that was granted for a thesis on a subject so remote from reality that it could be compared with that music‐hall joke of the one who obtained his doctorate for a thesis on the brain power shown by performing fleas.