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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.

Integrated health care delivery (IHCD), as a major issue of managed care, was considered the panacea to rising health care costs. In theory it would simultaneously provide high-quality and continuous care. However, owing to the backlash of managed care at the turn of the century many health care providers today refrain from using further integrative activities. Based on transaction cost economics, this chapter investigates why IHCD is deemed appropriate in certain circumstances and why it failed in the past. It explores the new understanding of IHCD, which focuses on actual integration through virtual integration instead of aggregation of health care entities. Current success factors of virtually integrated hybrid structures, which have been evaluated in a long-term case study conducted in the San Francisco Bay Area from July 2001 to September 2002, will elucidate the further development of IHCD and the implications for other industrialized countries, such as Germany.

Many international management scholars have expressed concern about whether societal culture changes so rapidly that research which attempts to represent it has little utility. We address this fundamental concern of international management by providing three theoretical lenses to examine the forces that produce and maintain a society's culture: functional theory, neo-institutional theory and complexity theory. We consider principles of progressive change and problems of social psychology from functional theory, the three pillars and conflicting institutional logics of neo-institutional theory and the ideas of stable equilibrium, oscillations and chaos of dynamic systems from complexity theory. Although these three theoretical lenses sometimes produce conflicting explanations of culture change, they often complement each other. Together, they provide a more realistic picture of the dynamics of the societal cultural milieu of organizations than do cultural representations that favour stability or those that completely discount the utility of any attempt at representing cultural continuity.

World Vision exists to eradicate extreme poverty. The primary fundraising mechanism that has fuelled its growth into one of the largest international non-governmental organizations (INGOs) has been Child Sponsorship, which connects over 10 million individual donors with vulnerable children around the world. However, shifts in the market, geopolitical landscape, and institutional logics have seen this once innovative product come under increasing pressure. Using World Vision New Zealand (WVNZ) as a case study, we explore the challenges of implementing social entrepreneurship strategies, including the institutional constraints of developing new business models, through hybridization. Hybridity has gained increasing attention in the field of entrepreneurship and has been offered as a sense-making frame for business model innovation within social entrepreneurship. The use of institutional logics to understand the challenges of hybrid organizing in social entrepreneurship has been invaluable. However, as with any theoretical perspective, this approach has limitations. We suggest that nuanced challenges and sources of resistance to social entrepreneurship in established sectors and organizations might usefully be explored through concepts drawn from complexity theory. Specifically, we propose the use of the concept of structural attractors, which enables the explication of convergent, unifying, and generative dynamics. Our case study findings suggest that, paradoxically, the very essence of historical success may constrain future success. To wit, when faced with changes to institutional and market conditions, WVNZ was constrained by the very construct that enabled its initial growth. The challenge that this case demonstrates is that despite ostensibly hybrid shifts occurring in the management, governance, and espoused innovation strategy of the organization, the governing structural attractor of Child Sponsorship has constrained innovation and change.

Social enterprises (SEs), part of the third sector, are hybrid organizations combining the pursuit of social scopes with commercial business solutions. In seeking for social value, they pair for-profit and non-profit features, thereby compensating for shortcomings of both the public sector and the commercial market. Therefore, the performance management of such organizations assumes a crucial relevance. Among the available tools, the balanced scorecard (BSC) aims to capture performance multidimensionality, at the same time fostering legitimacy towards stakeholders.

In general terms, the BSC has the limit to follow a linear and static logic of construction and functioning. For this reason, scholars combine it with system dynamics (SD) to create dynamic balanced scorecards (DBSCs). However, literature seems to devote scarce attention to the adoption of such analytic tools in the third sector, particularly in SEs. This chapter wants to contribute to bridging this gap by proposing a tailored application in the context of a social cooperative, active in the clothing recycle and in the re-integration of disadvantaged social categories. By referring to previous literature about DBSC, two modelling strategies are identified: the BSC-driven and the SD-driven. The latter, based on inductive reasoning, is the one privileged for the study because of its wider flexibility. The modelling outputs consider different perspectives than the ones within traditional BSCs, contain elements of circular causality and show how financial and non-financial performances interplay and co-determine each other. Insights from the proposed model can be useful to support both decision-making and stakeholder engagement.