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The purpose of this paper is to present a review of existing models and tools for evaluating the adaptability of buildings. A baseline of the current state of the art in adaptability evaluation and adaptation decision support is established; from this baseline, gaps for future research are recommended.

A literature review was conducted to identify papers describing adaptability models and tools. The identified models were characterized based on their focus (new buildings, existing buildings, building life cycle), considered variables (physical and/or context features) and degree/type of validation.

Models can be grouped as those focusing on: evaluating adaptation decisions for existing buildings; the design of new buildings for future adaptation; and understanding adaptation throughout a building life cycle. Models focusing on existing building evaluation are further in development and validation than the other model types; as such, they are more suitable for use by practitioners. Another finding is that modeling of adaptability in buildings is still in its nascent stage and that data-driven quantitative modeling is a prime area for future research.

This paper is the first comprehensive review of models and tools for evaluating adaptability. Other works have evaluated the topic of adaptability more broadly, but this is the first paper to systematically characterize existing models and tools. Based on the review future, research topics are recommended.

This paper aims to describe and demonstrate a quantitative areal openness model (AOM) for measuring the openness of floor plans. Creation of the model was motivated by the widely reported but rarely quantified link between openness and adaptability.

The model calculates values for three indicators: openness score (OS), weighted OS (WOS) and openness potential (OP). OS measures the absence of obstructions (walls, chases, columns) that separate areas in a floor plan. WOS measures the number of obstructions while also accounting for the difficulty of removing them. OP measures the potential of a floor plan to become more open. Indicators were calculated for three demolished case study buildings and for three adapted buildings. The case study buildings were selected because openness – or lack thereof – contributed to the owners' decisions to demolish or adapt.

Openness indicators were consistent with the real-world outcomes (adaptation or demolition) of the case study buildings. This encouraging result suggests that the proposed model is a reasonable approach for comparing the openness of floor plans and evaluating them for possible adaptation or demolition.

The AOM is presented as a tool for facility managers to evaluate inventories of existing buildings, designers to compare alternative plan layouts and researchers to measure openness of case studies. It is intended to be sufficiently complex as to produce meaningful results, relatively simple to apply and readily modifiable to suit different situations. The model is the first to calculate floor plan openness within the context of adaptability.

Contemporary supply chain relationships inherently rely on delegation of work between organizations and, thus, are subject to agency problems for which a wide range of governance mechanisms exist. This review of agency theory (AT), across four distinct fields, explains the connection between governance mechanisms and supply chain relationship types.

The study uses a systematic literature review (SLR) of articles using AT in a supply chain context from the operations and supply chain management, general management, marketing, and economics fields.

The authors categorize the governance mechanisms identified to create a typology of agency relationships in supply chains.

The developed typology provides parsimonious theory on different forms of supply chain agency relationships and takes a step towards a “supply chain-oriented agency theory” explaining and predicting relationship types and governance in supply chains. Furthermore, a future research agenda calls for more accurate measuring of agency costs, to examine residual gains alongside residual losses, to take a dual-sided perspective of agency relations and to adopt AT to examine more complex supply networks.

The review provides a menu of governance mechanisms and describes situations under which these mechanisms could be deployed to guide managers when developing their supply chain relationships.

The first review to combine and elaborate views from four major disciplines using AT as a lens to supply chain relationships. Expanding the traditional set of governance mechanisms provides academics and practitioners with a bigger “menu” of options to consider.

The purpose of this paper is to examine when and how organizations create agility, adaptability, and alignment as distinct supply chain properties to gain sustainable competitive advantage.

The current study utilizes the resource-based view (RBV) under the moderating effect of top management commitment (TMC). To test the research hypotheses, the authors gathered 351 usable responses using a pre-tested questionnaire.

The statistical analyses suggest that information sharing and supply chain connectivity resources influence supply chain visibility capability, which, under the moderating effect of TMC, enhance supply chain agility, adaptability, and alignment (SCAAA).

The contribution lies in: providing a holistic study of the antecedents of agility, adaptability, and alignment; investigating the moderating role of TMC on SCAAA; following the RBV and addressing calls for investigating the role of resources in supply chain management, and for empirical studies with implications for supply chain design.

Earnings forecasts provide useful numerical information concerning the expectations of a firm's future prospects and indicate management's ability to anticipate a firms changing internal structure and external environment. The accuracy of these earnings forecasts that has been given so much attention is due to the S.E.C.'s position on financial forecasts and the issuance of the Statement of Position by the AICPA. These statements are important since they, in part, have motivated researchers to the importance of forecasting financial information. Consequently, if the disclosure of earnings forecasts in financial reports is permissable, the improvement of financial forecasts should be one of the primary concerns of the AICPA, the SEC, and numerous other interested groups.

The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains.

The authors conceptualize a research model grounded in contingent resource-based view where the authors propose that BDPA capabilities affect visibility and coordination under the moderating effect of swift trust. Using ordinary least squares regression, the authors test the hypotheses using survey data collected from informants at 205 international non-government organizations.

The results indicate that BDPA has a significant influence on visibility and coordination. Further, the results suggest that swift trust does not have an amplifying effect on the relationships between BDPA and visibility and coordination. However, the mediation test suggests that swift trust acts as a mediating construct. Hence, the authors argue that swift trust is not the condition for improving coordination among the actors in humanitarian supply chains.

The major limitation of the study is that the authors have used cross-sectional survey data to test the research hypotheses. Following Guide and Ketokivi (2015), the authors present arguments on how to address the limitations of cross-sectional data or use of longitudinal data that can address common method bias or endogeneity-related problems.

Managers can use this framework to understand: first, how organizational resources can be used to create BDPA, and second, how BDPA can help build swift trust and be used to improve visibility and coordination in the humanitarian supply chain.

This is the first research that has empirically tested the anecdotal and conceptual evidence. The findings make notable contributions to existing humanitarian supply chain literature and may be useful to managers who are contemplating the use of BDPA to improve disaster-relief-related activities.

Research in escalating commitment has shown that escalation situations are primarily a function of psychological traits such as self‐justification and risk propensity. However, the extent to which these factors affect decision making is dependent upon a number of variables which include the situation, the level of commitment, and the cultural norms involved No studies to date examine the relationship between escalating commitment and cultural values. The purpose of this paper is to extend the work on escalating commitment by examining it from an international perspective. Research propositions explore cultural values and their impact on the escalation of commitment process.

Experts respond to the same incentives as people in other areas of human action, and in the same ways. This insight is a truism: Experts are ordinary people, not otherworld creatures. The disciplined pursuit of this common sense observation helps us to reach conclusions about experts that might be surprising or counterintuitive.

This study aims to stimulate scholarly attention and practical application pertaining to individuals recognized as “Docs.” Through conducting a comprehensive analysis and acquiring a profound understanding of its many connotations, the objective is to shift attitudes and approaches concerning those who are seen to possess knowledge and value within society.

For this study, culturally relevant pedagogies were used as theoretical frameworks in addition to Sankofa and concept explication being used as methodologies.

The authors identified three themes: (1) honorary cultural practice-community nomination of “professahs” and “docs,” (2) (Black) robinhoods – cultural signifiers of distinction and relatability and (3) docs as catalysts – elevating community via consciousness, trust and mentorship as significant understandings of this distinction.

The study emphasizes the importance of “Docs” in both academic and social contexts. The role of “Docs” serves to alleviate potential conflicts of being a Black intellectual. This study further reveals the ways in which Docs align with, promote or possibly undermine established frameworks of thought. Finally, this study provides institutions with opportunities to consider strategies for the utilization, recognition and integration of individuals who are frequently overlooked or undervalued.

This chapter describes three active learning activities developed for use in the introductory financial accounting class: an interview with a financial statement user, an internal control paper, and a financial statement project where students analyze two competing businesses. We gathered student surveys and direct assessment data to see if these activities add value to the introductory accounting course.

The learning activities were originally developed using Fink’s (2003) Taxonomy of Significant Learning, aligning the activities with Fink’s learning dimensions, which also support the higher order learning skills in Bloom’s revised taxonomy. Students completed surveys by comparing how well traditional class activities (i.e., homework and tests) and the new activities support the core competencies of the American Institute for Certified Public Accountants (AICPA). We also asked students open-ended questions on how they felt about these new activities. Researchers then compared pre- and postadoption assessment data to investigate the impact of the new learning activities on class completion rates and grades.

Based on faculty comments and student survey results, the three active learning assignments appear to be more effective in developing many of the AICPA’s core competencies and real world skill sets valued by professionals, providing more value than traditional teaching methods. In addition, the passing rates in the course at the Youngstown State University increased by 12% after adopting the learning innovations.