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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 discusses how attachment theory, a theory that provides insight into the processes through which psychological and emotional bonds are developed in relationships, can be useful for understanding mentoring relationships. We develop a conceptual model emphasizing how attachment-related constructs and their relationships with mentors’ and protégés’ behaviors and emotions influence each phase of a mentoring relationship. Recognizing reciprocity in the mentoring process, the model also explains how the interpersonal dynamics of the mentor–protégé relationship influence the benefits gained by both partners. Propositions for future research on mentoring relationships are provided. We contend that examining mentoring through the lens of attachment theory can increase our understanding of the underlying factors or mechanisms that determine individuals’ involvement in mentoring relationships and differentiate successful from unsuccessful mentoring relationships. The research and practical implications are discussed.

The current chapter proposes a theoretical framework to assess the sustainability of economic growth in the Gulf Cooperation Council (GCC) States. The authors integrate insights from endogenous growth models and consider the unique socioeconomic characteristics of the GCC region to provide a comprehensive and tailored approach to understanding the determinants of economic growth and formulating effective policy measures to foster sustainable development and growth. This chapter highlights the environmental challenges faced by GCC; based on this, the authors suggested indicators to construct a theoretical framework (Economic Growth, Climatic Indicators, Energy Indicators, Social Indicators, and Economic Resources Indicators). The authors propose that policymakers and researchers in GCC States should take these factors into account when devising policies or conducting research aimed at fostering sustainable economic growth. Overall, this chapter presents significant insights for policymakers, researchers, and stakeholders involved in promoting the sustainable economic advancement of the GCC States.

Cryptocurrencies are notoriously difficult to value from a fundamental perspective. This valuation challenge is rooted in various debated issues in academia and the investments industry. For example, do cryptocurrencies and other cryptoassets have intrinsic value in the conventional sense? Can one appropriately regard cryptocurrencies as digital fiat currencies? What distinguishes cryptocurrencies such as bitcoin and ether from precious metals like gold from a financial perspective? How do cryptocurrencies compare to other cryptoassets in terms of pricing and valuation? This chapter aims to provide responses to these questions, discuss approaches to cryptoasset valuation, and identify areas for future research.

New technologies represent an important challenge for all sectors across the world, becoming a relevant opportunity for the luxury hospitality industry as well. This study empirically investigates the effects of openness to change and status consumption orientation in influencing luxury hotel guests' perceived usefulness of voice assistants when integrated with their staying. Specifically, we shed light on the potential interplay between these two constructs in shaping guests' perceived usefulness of these devices. Finding suggests that openness to changes and status consumption represents two potentially alternative aspects that managers could leverage to encourage hotel guests' perceived usefulness and vocal assistant devices. This implies that openness to change on the part of luxury hotel guests may be a necessary but not sufficient condition for these devices to be accepted. Rather, luxury hotel managers should also consider the status consumption orientation of their guests.

Mentoring has been recognized as a key developmental resource in organizational settings. As a result, we have seen a concomitant increase in research on mentoring covering a wide variety of issues. Overall, researchers are in agreement that mentoring is beneficial both to individuals' careers and to their social-emotional well-being. However, studies also suggest that these effects are not necessarily always present, and that the nature of mentoring relationships is indeed complex. Despite the burgeoning literature in this area, there have been few attempts to integrate the work on mentoring. In this paper, we provide an overview and discussion of the current mentoring literature, and potentially beneficial new research directions. Specifically, the evolution of the concept of mentoring relationships, the theories and perspectives that have been employed in the literature, individual differences included in mentoring research, the benefits of mentoring relationships, formal mentoring programs, and methodology issues are reviewed and discussed. The paper concludes by presenting a new direction for future mentoring research based on the psychological theory of attachment.