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Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Attribution bias can be costly to firms because it hinders decision makers’ ability to infer the real cause of prior events and take corrective action to improve future performance. This study extends prior research by examining whether and how the presence of variance reporting from accounting systems affects firm profitability through a labor cost management decision that is highly susceptible to attribution bias. Our results support the prediction that the presence of variance reporting (process feedback) increases the likelihood of belief revision and corrective action related to the systematic error, and thus increases overall profitability for the firm. The findings of our study propose a solution to attribution and learning problems observed when decision makers are responsible for both cost management and bids as documented in prior literature.

Motivated by both prior experimental work and by field observations, we consider the performance of two different sealed bid versions of the silent auction. These are important institutional alternatives to the more familiar ascending price silent auction. In a new series of laboratory experiments, we investigate the effects of the different institutions both on aggregate efficiency and upon aggregate revenue generation.

To transform donations “in kind” into cash, charities of all sizes use auctions and raffles. Despite this, neither the theory nor the practice of efficient fund-raising – and, in particular, charity auctions – has received sufficient attention from economists, especially the fact that participation in fund-raisers is endogenous. We describe, in detail, the design and implementation of an experiment to examine 15 charity auction mechanisms. While some of the mechanisms have already received attention from both theorists and empiricists, ours is the first comprehensive examination of all existing mechanisms and the first to explore the potential of a few new formats. Our analysis focuses on participation differences among the formats and how theory and supplemental survey data can help explain some of these differences.

We report an experiment conducted to gain insight into factors that may affect revenues in English auctions and lotteries, two commonly used charity fund-raising formats. In particular, we examine how changes in the marginal per capita return (MPCR) from the public component of bidding, and how changes in the distribution of values affect the revenue properties of each format. Although we observe some predicted comparative static effects, the dominant result is that lottery revenues uniformly exceed English auction revenues. The similarity of lottery and English auction bids across sales formats appears to drive the excess lottery revenues.

We present results of several experiments that deal with endogenous entry in auctions and auction valuation. One observation that is constant across all the experiments we report is that laboratory subjects have a difficult time evaluating potential gains from auctions. Even after they are given some experience with particular auctions, the uncertainty inherent in the auctions (the probability of winning as well as the potential gains from winning) makes it difficult for subjects to compare different auction mechanisms. This highlights the need for new experimental procedures to be used for testing theories that involve endogenous auction entry in the laboratory.

Most decision-making problems in construction are complex and difficult to solve, as they involve multiple criteria and multiple decision makers in addition to subjective uncertainties, imprecisions and vagueness surrounding the decision-making process. In many instances, the decision-making process is based on linguistic terms rather than numerical values. Hence, structured fuzzy consensus-reaching processes and fuzzy aggregation methods are instrumental in multi-criteria group decision-making (MCGDM) problems for capturing the point of view of a group of experts. This chapter outlines different fuzzy consensus-reaching processes and fuzzy aggregation methods. It presents the background of the basic theory and formulation of these processes and methods, as well as numerical examples that illustrate their theory and formulation. Application areas of fuzzy consensus reaching and fuzzy aggregation in the construction domain are identified, and an overview of previously developed frameworks for fuzzy consensus reaching and fuzzy aggregation is provided. Finally, areas for future work are presented that highlight emerging trends and the imminent needs of fuzzy consensus reaching and fuzzy aggregation in the construction domain.

The few management accounting pricing methods in the management accounting literature are ineffective in helping small firms use their idle capacity during lingering economic recessions, and some of these methods may even worsen this problem.

Extending the traditional break-even-cost-volume-profit model, we derive a more effective pricing method, the break-even-full-capacity-utilization (BEFCU) model, to handle this problem. Seeking full capacity utilization, the BEFCU model has two characteristics: (a) highlighting the importance of the exigent fixed cost category for utilizing idle capacity and (b) using a functional cost structure that focuses on a hierarchy of value drivers in the firm's value creation process. Accordingly, under the BEFCU model, management has an instrumental pricing continuum extending from the minimum acceptable BEFCU sale price to the regular sale price.

To demonstrate its practicality, the authors apply the BEFCU model to an actual job shop. This model integrates certain strategies based on built-in flexibility in commitments with suppliers and customers and maintaining a mode of conservatism in accounting for plant assets. The model can also help small tooling companies currently seeking entrance into China; it may take a while for these companies to gain a foothold in this new market because copyrights and other legalities are rarely enforced (Bunkley, 2004).