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Current prices, future estimates, and price statistics cannot reflect specific transaction experience generated by enterprise management. Instead, overt transaction data in accounts continue to constitute evidence of management decision-actions, even after apportioned among fiscal periods. And the interrelation of enterprise capital employed productively, and the income generated by its use, will continue whether or not accounts are kept. Yet, the significance of factual integrity for enterprise transaction experience is strongly influenced by the functional logic inherent in accounting.

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.

Accounting’s definition of accountability should include attributes of socioenvironmental degradation manufactured by unsustainable technologies. Beck argues that emergent accounts should reflect the following primary characteristics of technological degradation: complexity, uncertainty, and diffused responsibility. Financial stewardship accounts and probabilistic assessments of risk, which are traditionally employed to allay the public’s fear of uncontrollable technological hazards, cannot reflect these characteristics because they are constructed to perpetuate the status quo by fabricating certainty and security. The process through which safety thresholds are constructed and contested represents the ultimate form of socialized accountability because these thresholds shape how much risk people consent to be exposed to. Beck’s socialized total accountability is suggested as a way forward: It has two dimensions, extended spatiotemporal responsibility and the psychology of decision-making. These dimensions are teased out from the following constructs of Beck’s Risk Society thesis: manufactured risks and hazards, organized irresponsibility, politics of risk, radical individualization and social learning. These dimensions are then used to critically evaluate the capacity of full cost accounting (FCA), and two emergent socialized risk accounts, to integrate the multiple attributes of sustainability. This critique should inform the journey of constructing more representative accounts of technological degradation.

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

Part V analyzes the details of how to assess materiality. It first tackles qualitative versus quantitative criteria and the role of professional judgment. It then analyzes the selection of quantitative threshold, to expand to the choice of benchmarks. It contrasts the whole financial statements with subaggregates, line items, and components.

Specific sections contrast IASB, FASB, SEC, and other guidance on materiality applied to comparative information, interim reporting, and segment reporting.

The section on estimates mingles complex guidance coming from accounting, auditing, and internal control over financial reporting to explain how the management can improve its assessment of materiality concerning estimates.

After explaining the techniques to move from individual to cumulative misstatements, the part tackles verification ex post, and finally summarizes the intricacies of whether immaterial misstatements are permissible and their consequences.

This chapter documents an exchange between Leonard Savage, founder of the subjective probability approach to decision-making, and Karl Popper, advocate of the so-called propensity approach to probability, of which there is no knowledge in the literature on probability theory. Early in 1958, just after being informally tested by Daniel Ellsberg with a test of consistency in decision-making processes that originated the so-called Ellsberg Paradox, Savage was made aware that a similar argument had been put forward by Popper. Popper found it paradoxical that two apparently similar events should be attributed the same subjective probability even though evidence supporting judgment in one case was different than in the other case. On this ground, Popper rejected the subjective probability approach. Inspection of the Savage Papers archived at Yale University Library makes it possible to document Savage’s reaction to Popper, of which there is no evidence in his published writings. Savage wrote to Popper denying that his criticism had paradoxical content and a brief exchange followed. The chapter shows that while Savage was unconvinced by Popper’s argument he was not hostile to an axiomatically founded generalization of his theory.

This study investigates the determinants of students’ intention to major in accounting (IMA) in pre-recessionary, recessionary, and post-recessionary time periods. By examining four factors (perceived professional ethics (PE), job market consideration (JMC), social influence (SI), and self-efficacy (SE)) in accordance with the theory of planned behavior (TPB), we address two primary research questions. The first question concerns whether the four factors are related to students’ IMA before, during, and after the recession. The second deals with whether there is a shift in the relative importance of the factors between the pre-recessionary, recessionary, and post-recessionary periods. We use structural equation modeling and multigroup analysis of structural invariance to analyze these issues. The results show that all four factors have significant structural weights in each period, with the exception of perceived PE in the pre-recessionary period. In terms of students’ IMA over the three periods, perceived PE, JMC, and SI become factors of greater importance during the recessionary and post-recessionary periods, while SE decreases in relative importance.

Purpose – This chapter builds on our personal experiences of researching primary schools. The chapter begins by discussing some important subjective accounts of conducting qualitative research, and the unavoidable (often unexpected) dilemmas that confront researchers whilst ‘in the field’. This provides the backdrop against which our own experiences of conducting research will be considered.

Methodology/approach – Whilst it is vital and necessary for researchers to abide by the relevant code(s) of ethical conduct, the authors argue that the contingent nature of qualitative research necessitates a degree of personal ethical discretion. The ethical frameworks of bodies such as the British Educational Research Association and the British Sociological Association are prima facie generalised, and cannot cover all ethical potentialities. Ethically sensitive researchers not only will be vigilant in adhering to the guiding framework, but will also be acutely aware of the situated nature of many ethical issues.

Findings – Researchers can never be fully prepared for the ethical issues they will confront in the field. However, the authors believe that if researchers share the eccentricities of their empirical experiences with others in their field, then researchers can be better prepared for the ethical challenges awaiting them. As such, this chapter draws upon our own fieldwork experiences in a rural village school in Norfolk and in a series of suburban/rural primary schools in North East England. The chapter does not offer a series of recommendations, but rather an exploration of the practical lessons that the authors have taken from the field.

Kerr's (1975) examination of the “folly of rewarding A while hoping for B” led him to encourage organizations to align reward system and desired employee behavior. Since then, much of the accounting and control literature has increasingly reduced the reward system to one of its components – incentive compensation plans – and has increasingly ceased to examine other behavioral levers used by corporations, thus implicitly or explicitly treating measurement and reward as a sufficient condition to obtain desired employee behavior. This chapter considers the complexity of the reward system (including its inevitable subjective dimension) and discusses its role, in connection with other important managerial levers, in corporations’ broader efforts to shape employee behavior. The chapter concludes with a review of literature streams in economics and psychology, suggesting that an intense incentive alignment approach may be self-fulfilling and hence counter-productive.

Purpose – Drawing from social psychology and economics, I propose several mechanisms that may affect ownership stakes among entrepreneurs, including norms of distributive justice, negotiation constraints, and network constraints. The processes are explored empirically for a representative dataset of entrepreneurial teams.

Methodology/Approach – Between 1998 and 2000, entrepreneurial teams were sampled from the U.S. population for the Panel Study of Entrepreneurial Dynamics. I analyze the distribution of ownership stakes at both the individual and group levels.

Findings – The results suggest that principles of macrojustice, affecting the distribution of resources in teams as a whole, deviate considerably from principles of microjustice, affecting the resources received by individual entrepreneurs. While aggregate inequality increases in teams that have a diverse set of members, the effect is not reducible to discrimination on the basis of individual status characteristics. Instead, the relational demography of teams – characterized in terms of the degree of closeness in network ties and homogeneity in demographic attributes – serves as a uniquely social predictor of between-group variation in economic inequality.

Originality/Value of the paper – Empirical research on inequality has paid little attention to the process of group exchange in organizational start-ups, where entrepreneurs pool resources and skills in return for uncertain or indirect payoffs. This paper offers both theoretical frameworks and empirical analyses to shed light on economic inequality among entrepreneurs.