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This paper aims to focus on the decision-making process of integrated system design. Buildings can benefit from different system integration working toward the unified goal of providing the needed conditions and improving the comfort level of occupants. It is important to engage all system needs and priorities in the design by keeping goal into consideration. Even though there is vast potential in the coordination of system design decisions, there is a need to increase the transparency of the decision-making process by developing methods to incorporate multi-dimensional design attributes.

This is achieved by considering all system design priorities with respect to decision attributes, as well as the inter-system inputs based on information and knowledge. Data were collected through interviews, collaboration meetings and design document reviews, which helped to facilitate triangulation.

This paper presents the findings of a case study of deep retrofit design process that seeks to reduce energy consumption through integrated system decisions with several system combinations. In addition, such design decisions highlighted the fact that the values need to be flexible at the system level.

This paper presents an in-depth analysis of a single case study. Multiple case studies are being investigated for the future of this research.

This paper presents the methods used for integrated design process priorities that will enable design teams to make decisions that lead to improved energy performance in retrofit projects.

The case study building in this paper is a showcase building with cutting edge technologies and techniques, as well as a scalable and collaborative design process. It is an example of a best-in-class retrofit process designed through whole building design principles within the target budget. The paper demonstrates system design selection criteria that are embraced by value prioritization.

This chapter assesses how gender and disability status intersect to shape employment and earnings outcomes for working-age adults in the United States.

The research pools five years of data from the 2010–2015 Current Population Survey to compare employment and earnings outcomes for men and women with different types of physical and cognitive disabilities to those who specifically report work-limiting disabilities.

The findings show that people with different types of limitations, including those not specific to work, experienced large disparities in employment and earnings and these outcomes also varied for men and women. The multiplicative effects of gender and disability on labor market outcomes led to a hierarchy of disadvantage where women with cognitive or multiple disabilities experienced the lowest employment rates and earnings levels. However, within groups, disability presented the strongest negative effects for men, which created a smaller gender wage gap among people with disabilities.

This chapter provides quantitative evidence for the multiplicative effects of gender and disability status on employment and earnings. It further extends an intersectional framework by highlighting the gendered aspects of the ways in which different disabilities shape labor market inequalities. Considering multiple intersecting statuses demonstrates how the interaction between disability type and gender produce distinct labor market outcomes.

This study explores a pedagogical approach to teaching students a collaborative information delivery process in the context of BIM. The objectives were to understand how students approach this complex, open-ended problem of planning their collaborative process and then identify strategies for improving their process through a plan-do-check-act cycle and reflecting on the applicability of industry standards.

The authors present a longitudinal case study based on qualitative data from the 3 consecutive years of teaching a senior undergraduate course in a construction engineering program.

The findings offer a rich picture of how students approached this collaborative process and emphasize the complex nature of teaching BIM as information management process. The authors present instances of how students made sense of BIM standards through applied experience. The findings also demonstrate the value of an outcome-based approach whereby knowledge is gained through an iterative plan-do-check-act cycle. Here, the BEP and model deliverables served only as vehicles to test and apply a range of skills by making them more explicit.

The research contributes to the literature on mechanisms that support students in planning, managing and improving collaborative information strategies in a BIM context. Specifically, the authors illustrate a tension in how to pedagogically deploy industry-oriented process planning methods to establish relevance for students in order to effectively engage in interdisciplinary teams.

In this paper, the authors argue that teaching students how to plan, design and enact effective BIM collaboration information delivery is firmly nested within pedagogical management and communication skills. The authors illustrate with examples how students make sense of BIM approaches by making them concrete and meaningful to their own experience.

The Stanford School of Organizational Sociology has influenced the development and direction of healthcare organizations as a field of research in several very significant ways. This chapter will provide a focused review of the major paradigms to develop from work at Stanford from 1970 to 2000, much of which involved the study of processes and structures within and surrounding healthcare organizations during this period. As a subarea of organizational theory and health services research, healthcare organizations embrace both theory-based research and applied research, and they borrow concepts, theories, and methods from medical sociology, organizational theory, healthcare administration and management, and (to a more limited extent) health economics and decision theory. The bulk of this chapter will focus on four major themes or paradigms from research on healthcare organizations that grew from work by faculty and students within the Stanford School of Organizational Sociology: Health Care Outcomes, Internal Organizational Dynamics, Organizations and Their Environments, and Organizational Systems of Care and Populations of Care Providers. Following our examination of these four paradigms, we will consider their implications for current and future debates in health services research and healthcare policy.

In this study, we use the well-researched and validated Big Five model of personality traits to examine accounting students’ career interests in auditing. Using the person-job fit literature as a springboard for our study, we investigate the influence of accounting students’ personality traits on their career interests in auditing using a research survey. We uncover a general “trait gap” (i.e., lack of fit) between accounting students’ own personality traits and their perceptions of the ideal auditor, which presents implications for workplace readiness. Additionally, analysis focusing on students who particularly want to work in auditing indicates that those with more auditing work experience are more likely to identify auditing as their preferred job. Furthermore, results indicate that accounting students higher on openness to experience tend to view auditing jobs as more desirable. Finally, accounting students who prefer the auditing career path perceive the ideal auditor as extroverted, agreeable, and open to experience. We extend prior findings in the accounting education literature surrounding personality traits and their impact on student career choices. Because advising students for a career path suiting their traits and talents is important for each student and the accounting profession, our study’s insights into the “matching process” add value to career advising.

The purpose of this study was to use the Lussier (1995) generic success versus failure (S/F) prediction model to develop a real estate industry specific model (S/F = f[industry experience, age, advisors, planning, capital]). Using logistic regression analysis, the Lussier model (p = .028) and the real estate agency model (p = .001) are significant predictors of business success and failure. The Lussier model accurately predicted 84 percent of the surveyed successful and failed matched pairs agencies as being successful or failed and the real estate model predicted 74 percent. The Lussier model explained 68 percent of the variance of contributing factors to success versus failure and the real estate model explained 56 percent. Implications are discussed.

Social scientists have long been interested in how political institutions affect economic performance. Nowhere are these effects more apparent today than in the current U.S. financial meltdown. This article offers an analysis of the meltdown by showing how government regulation among other things helped cause it. Specifically, the article shows how regulatory reforms closely associated with neoliberalism created perverse incentives that contributed significantly to the increased lending in the mortgage market and increased speculation in other financial markets even as such behavior was becoming increasingly risky. The result was the failure of mortgage firms, banks, a major insurance company, and eventually the market for short-term business loans, which triggered a general liquidity crisis thereby thrusting the entire economy into a severe recession. Implications for future research are explored. The article also offers a few policy prescriptions and an assessment of their political viability going forward.

In the managerial and organizational cognition (MOC) literature, cognition is often studied by considering the observable characteristics of decision-makers. However, these studies have largely neglected cognitive differences stemming from the cultural, national, ethnical, and geographical (CNEG) characteristics of decision-makers – ones that are commonly studied in the field of international business (IB) research. Despite the contributions of IB research within the domain, the advancements have not found their way to the broader literature on MOC. In order to remedy this deficiency, this chapter seeks to introduce the work conducted within the IB field on the cognitive differences and the resultant cognitive distance stemming from decision-makers’ CNEG characteristics. This work has generated original insights on: (1) cognitive distances; (2) cognitive structures; (3) the legacy of the home country; and (4) tolerance to cognitive differences. As a result, this chapter strengthens the foundations for cumulative knowledge building by providing an integrative understanding of cognitive research based on the characteristics of managers.