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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.

On the path to accomplishing task work, teams may face disruptive events like budget issues, equipment failures, and membership change that trigger adaptation. While recently researchers have clarified the team adaptation nomological network, our objective is to extend theory by providing a roadmap about various ways in which temporal considerations may complicate the impact of adaptation triggers on team adaptation and in turn adaptive outcomes.

We present three adaptation temporal considerations (i.e., timing, duration, and frequency) that may change the way team adaptation unfolds in response to a given adaptation trigger. We further explore and offer propositions about how the impact of adaptation timing, adaptation duration, and adaptation frequency differ by the type of adaptation trigger (i.e., task-based or team-based) experienced by the team.

By examining adaptation to task-based or team-based triggers from a temporal perspective researchers may better explain why the timing of when the team adapts across its lifecycle (adaptation timing), how long the team takes to adapt (adaptation duration), and the recurrent need to adapt (adaptation frequency) is more or less likely to lead to positive adaptive performance outcomes.

Organizations may benefit from setting up teams for success by helping members understand that there are inherent differences in the adaptation triggers they face including temporal expectations. Organizations may see value in providing initial and on-going support to teams so they are better able to adapt when needed and mitigate negative effects due to adaptation timing, adaptation duration, and adaption frequency.

Our purpose in this chapter is to examine the implementation of a set of lesson frameworks to set conditions for teachers to deal with the complex challenges related to writing instruction in a high-stakes testing environment. These lessons provided a flexible framework for teachers to use in tutorials and in summer writing camps for students who struggle to pass the state-mandated tests, but they also build shared understandings about writing as a complex adaptive system.

We look to two sources for our theoretical framework: the study of complex adaptive systems and research-based writing instruction. In the chapter we summarize insights from these sources as a list of patterns that we want to see in powerful writing instruction. The analysis presented here is based on open-ended interviews of 17 teachers in one of the partner districts. The results of an inductive analysis of these transcripts is combined with a summary of 9th and 10th grade test results to inform the next iteration of this work.

Our findings suggest a shift toward patterns that imply shared understandings that writing and writing instruction require dialogue, inquiry, adaptability, and authenticity. These lesson frameworks, rather than limiting teacher’s flexibility and responsiveness, provide just enough structure to encourage flexibility in writing instruction. Using these frameworks, teachers can respond to their students’ needs to support powerful writing.

This set of lesson frameworks and the accompanying professional development hold the potential to build coherence in writing instruction across a campus or district, as it builds shared understandings and practices. We look forward to further implementation, adaptation, and documentation in diverse contexts.

This chapter integrates organization design and sustainability concepts to describe an accelerated transformational change at the Fairview Medical Group (United States).

A case study of the transformation at Fairview Medical Group’s primary care clinics was developed from interviews and first-person accounts of the change. Objective data regarding outcomes was used to evaluate the effectiveness of the redesign process.

The Fairview Medical Group developed an innovation and change capability to transform 35 primary care clinics in six months. All of the clinics were certified by the state of Minnesota as complying with their healthcare standards. Clinical outcomes, costs, and employee and physician engagement also increased. All of the improved measures are sustained.

Healthcare reform in the United States struggles because the organization design challenges are great and the change difficulties even greater. Fairview’s experience provides important evidence and lessons that can help advance our understanding of effective healthcare and create more sustainable healthcare systems. This chapter provides healthcare system administrators evidence and alternatives in the pursuit of implementation.

This chapter discusses a bottom-up design strategy to support the principles of Universal Design and Universal Design for Learning adapted for online course development. The concept of Universal Design demands a holistic, bottom-up instructional design model for online course development that integrates technology, accessibility, recent instructional and learning theories, and a participatory postmodern worldview. This study is intended for faculty, instructional designers, administrators, assistive technology staff, and Web multimedia software vendors associated with higher education. The research assists these target audiences to design and develop online courses that are accessible without special adaptation or modification. The components of Universal Design for online learning support newer emergent approaches to instructional design, various programming solutions used in the software engineering field for efficiency, Universal Design for Learning, and legal guidelines associated with accessibility.

The aim of this chapter is to stimulate debate and critical thinking about the relevance and effectiveness – especially for ‘non-core’ areas – of prevailing methodological approaches to entrepreneurial ecosystems (EE) research and policy development and to argue for the exploration of critical realism (CR) as a potential framework for researchers, practitioners and policymakers. I argue that prevailing theoretical and methodological frameworks are insufficient to enable researchers to adequately understand the dynamics of diverse EE or for policymakers to act appropriately on research findings. I posit CR as an alternative framework, providing a ‘lens’ through which researchers, policymakers and other ecosystem stakeholders can collaboratively explore the role of context and its interplay with agency. CR addresses the disadvantages associated with deterministic models of entrepreneurship and ‘Valley envy’ policy prescriptions, thus generating more meaningful insights for policy and practice, especially in relation to ‘non-core’ areas.

A nurse home care scheduling system is described. The objective is to provide medical care at patients’ homes using the fewest number of nurses possible to deliver the required care. The heuristic scheduling system is easy to implement as a computerized adaptive system. As such, it is easy to use on a daily basis and easy to update as new data related to completed treatment and new requests are obtained. A case study illustrates the advantages of implementing such a system.

This research contributes to understanding emotional and political challenges experienced by middle managers as they work with contradictions inherent in leading change from the middle. Focus group data from 27 such middle managers based in the UK indicate that, once they have been assigned roles and tasks for leading change, underlying dynamics and processes influence the degree to which they become capable (or unable) to shape and navigate that change. A proposed conceptual framework, illustrated by a case vignette, provides a base of existing knowledge for understanding and explaining these dynamics. We also construct a model of the key tensions that are integral to middle managers leading change. A further contribution to practice involves elaborating the importance of collaborative effort across hierarchical and vertical boundaries, despite emotional and political tensions that undermine middle managers’ roles as change agents.