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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 chapter briefly explores selected English and general education policy documents, curricula, and textbooks within the context of Kingdom of Saudi Arabia (KSA) from a Critical Discourse Analysis perspective and examines how they have changed pre- and post-21st century. First, a policy document related to education in KSA in general (pre-21st century) is analyzed along with an English language teaching (ELT) policy document of the same period. Next, two general policy documents post-21st century are explored, followed by one related to ELT policy. Finally, one post-21st century document related to higher education is discussed. The “network of practices” within which these documents are situated are first detailed, as well as the structural order of the discourse, and some linguistic analysis of the choice of vocabulary and grammatical structures (Meyer, 2001). Issues which might be problematic to the learning and teaching identities of the students and teachers interpreting these documents are also highlighted. Finally, we consider whether the network of practices at this institution and KSA in general “needs” the problems identified in the analysis and critically reflect on the analysis.

Amid the COVID-19 world pandemic, there are few organizations that have proven to be recession proof. A Dubai-based company has managed to resist its second recession after the 2008 market downturn, with no lay-offs, cash flow problems, and over 80% customer satisfaction. NAFFCO, a world leader in manufacturing fire safety and security solutions, is the organization that beat the odds. The aim of this case study is to identify the drivers of success that contributed to the continuous growth of the organization, despite turbulences in the market condition. Six drivers were identified: (1) Situational Leadership Style, (2) Innovation through Kaizen, (3) Quality Focus, (4) Research and Development Philosophy with Knowledge Spillover Integration, (5) Esprit de corps, and finally (6) Corporate Citizenship. These drivers were cross-examined with respect to academic literature and an analysis of the deviations and commonalities have been presented. Based on the cross examination of different strategic drivers, suitable areas of future studies have been indicated to understand the magnitude of their effects including NAFFCO’s Oath!

Most decision-making problems in construction are complex and difficult to solve, as they involve multiple criteria and multiple decision makers in addition to subjective uncertainties, imprecisions and vagueness surrounding the decision-making process. In many instances, the decision-making process is based on linguistic terms rather than numerical values. Hence, structured fuzzy consensus-reaching processes and fuzzy aggregation methods are instrumental in multi-criteria group decision-making (MCGDM) problems for capturing the point of view of a group of experts. This chapter outlines different fuzzy consensus-reaching processes and fuzzy aggregation methods. It presents the background of the basic theory and formulation of these processes and methods, as well as numerical examples that illustrate their theory and formulation. Application areas of fuzzy consensus reaching and fuzzy aggregation in the construction domain are identified, and an overview of previously developed frameworks for fuzzy consensus reaching and fuzzy aggregation is provided. Finally, areas for future work are presented that highlight emerging trends and the imminent needs of fuzzy consensus reaching and fuzzy aggregation in the construction domain.

Culture and economic settings are often perceived as key influential elements in formulating the entrepreneurial ecosystem, either on the organizations level or the entire social system. In their different forms, culture and economic conditions have always been critical drivers for innovation and entrepreneurship. Understanding the community's cultural traits and economic status helps entrepreneurs map their entrepreneurial objectives and define enablers and deterrents. This chapter investigated the cultural and economic environment within the Gulf Council Countries (GCC), mapped their Corporate Social Responsibility (CSR) practices and entrepreneurial performance. It was evident that some cultural traits, such as tribalism, could play an adverse role in supporting entrepreneurship. However, the economic system, which mainly relies on oil and gas production, could be the best enabler for entrepreneurship, which has a unique nature in the GCC and receives high government reinforcement through massive capital surpluses generated from the oil revenue. The latest statistics ranking the global entrepreneurship performance indicated that the GCC lay in the middle area among other countries worldwide. Qatar came on the top of the GCC with a global rank of 22, while Saudi Arabia came last, at position 45 globally. The government legislative and economic support for entrepreneurship activities contributes to preparing a proper authoritative climate that promotes entrepreneurship and could be a golden opportunity for entrepreneurs in the GCC.