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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.

This empirical chapter contributes to international business (IB) research on the United Nations’ sustainable development goals (SDGs) by opening a new research trajectory on sustainable headquarters (HQ) buildings. This multidisciplinary study conceptualizes the notion of a sustainable HQ based on a case study and three streams of literature – research on HQs, sustainable office design and the SDGs in IB. It offers a novel angle to prior research on HQs that has largely focused on their functional roles. While IB scholars are increasingly embracing the SDGs, limited attention has been devoted to SDG 11, “sustainable cities and communities.” This chapter draws on a real-time, longitudinal, single case study of a Nordic multinational in renewable products. The authors adopt a future-facing, phenomenon-based approach to envision and reimagine the modern wooden corporate HQ building on a culturally sensitive site in the heart of Helsinki, Finland. The findings emphasize the environmental, social, economic and cultural considerations of HQ buildings. By combining HQ premises with commercial spaces, and by opening the building to citizens, sustainable HQ buildings create a lively city space and increase urban social cohesion. The use of wood as a construction material and the application of design principles that promote human–nature relationships, have a positive impact on climate and human health. By focusing on the physical building, the authors aim to change the way IB scholars understand and study the role of HQ as a part of sustainable cities.

Managing complex construction projects is a challenging task because it involves multiple factors and decision-making processes. A systematic evaluation of these complex factors is imperative for achieving project success. As most of these factors are qualitative or intangible in nature, decision makers often rely on subjective judgements when comparing and evaluating them. The hybrid techniques that integrate fuzzy set theory and the analytic hierarchy process (AHP) are able to deal with such problems. This chapter discusses various hybrid techniques of the fuzzy AHP and presents an application of these techniques to the evaluation of transportation project complexity, which is essential for prioritising resource allocation and assessing project performance. Project complexity can be quantified and visualised effectively with the application of the fuzzy AHP. This chapter enhances the understanding of construction project complexity and fuzzy hybrid computing in construction engineering and management. Future research should address the calibration of fuzzy membership functions in pairwise comparisons for each individual decision maker and develop computational tools for solving optimisation problems in the constrained fuzzy AHP. In the area of construction project complexity, future research should investigate how scarce resources are allocated to better manage complex projects and how appropriate resource allocation improves their performance.