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This chapter reviews marketing scholarship on environmental sustainability. The literature covers several themes of both consumer behavior and firm-level topics. Consumer issues include their assessment of efficacy and the extent to which they are aware and sensitive to environmental issues. Numerous interventions and marketing appeals for modifying attitudes and behaviors have been tested and are reported. Consumers and business managers have both been queried regarding attitudes of recycling and waste. Firm-level phenomena are reflected, including how brand managers can signal their green efforts to their customers, whether doing so is beneficial, all in conjunction with macro pressures or constraints from industry or governmental agencies. This chapter closes with a reflection on the research.

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.

All disasters produce wastes of some kind, be it the trees fallen by a cyclone, a house destroyed by an earthquake, a beach coated by an oil spill, or animals killed by a flood. Postdisaster responses also produce wastes – from the human excreta of people staying in the camp to day-to-day household wastes. The issue of management of wastes created by disasters is becoming an increasingly important issue to be addressed in postdisaster response due to their scale, complexity, and cost. The cost of disaster waste management (DWM) has crossed the billion dollar mark in some of the major disasters, which is necessitating and prompting the emergence of a separate stream of expertise in DWM. In January 2011, the Joint Unit of the United Nations Environment Programme and Office for Coordination of Humanitarian Affairs (OCHA) came out with Disaster Waste Management Guidelines (2011).

Currently, waste is regarded as a symptom of inefficiency. The generation of waste is a human activity, not a natural one. Currently, landfilling and incinerating wastes are common waste management techniques; but the use of these methods, in addition to wasting raw materials, causes damage to the environment, water, soil, and air. In the new concept of “Zero Waste” (ZW), waste is considered a valuable resource. A vital component of the methodology includes creating and managing items and procedures that limit the waste volume and toxicity and preserve and recover all resources rather than burning or burying them. With ZW, the end of one product becomes the beginning of another, unlike a linear system where waste is generated from product consumption. A scientific treatment technique, resource recovery, and reverse logistics may enable the waste from one product to become raw material for another, regardless of whether it is municipal, industrial, agricultural, biomedical, construction, or demolition. This chapter discusses the concept of zero landfills and zero waste and related initiatives and ideas; it also looks at potential obstacles to put the ZW concept into reality. Several methods are presented to investigate and evaluate efficient resource utilization for maximum recycling efficiency, economic improvement through resource minimization, and mandatory refuse collection. One of the most practical and used approaches is the Life Cycle Assessment (LCA) approach, which is based on green engineering and the cradle-to-cradle principle; the LCA technique is used in most current research, allowing for a complete investigation of possible environmental repercussions. This approach considers the entire life cycle of a product, including the origin of raw materials, manufacturing, transportation, usage, and final disposal, or recycling. Using a life cycle perspective, all stakeholders (product designers, service providers, political and legislative agencies, and consumers) may make environmentally sound and long-term decisions.

This chapter explores two business and innovation strategies to increase sustainability in a small-medium enterprise. The two strategies, one addressing the improved sustainability of an existing product line and the other addressing the development and implementation of a new product line, employ different supply chain sustainable practices and utilize different dynamic capabilities.

The chapter describes how sustainable supply chain management practices, sustainable new product development processes, and theories of dynamic capabilities interact to support a sustainable and differentiated strategy in the Alcass organization.

The models of sustainable supply chain management and sustainable new product development are applied to “more sustainable” products and “new sustainable” products, by raising different relevant practices as well as different supporting dynamic capabilities.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

This chapter discusses the profound and influential impact the construction industry has on the national economy, together with the huge negative effect it has on the environment. It argues that by adopting smart and industrialised prefabrication (SAIP), the Australian construction industry, and the construction industry globally, is well positioned to leverage the circular economy to advance future industries with less impact on our natural environment. It discusses aspects of the application of digital technologies, specifically building information modelling, virtualisation, augmented and virtual reality and 3D printing, coupled with reverse logistics as a proponent for advancing the circular economy through smart, digitally enabled, industrialised prefabrication. It further postulates a framework for SAIP for the circular economy.