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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.

The study investigates the effects of energy resource efficiency on the triple themes of sustainable development (economic, social and environmental dimensions). We adopt a quantitative research method, and the required macroeconomic data were extracted from World Development Indicators for a period of 30 years (1991–2020). The extracted data were analysed using correlation analysis and linear regression. Ultimately, the estimations from the three models produced mixed results. Energy resource efficiency (EFF) exerts a significant positive effect on economic sustainability (ECS), a significant negative effect on social sustainability (SOS) and a significant negative effect on environmental sustainability (EVS). However, claims on government (COG) exerted an insignificant negative effect on ECS, an insignificant negative effect on SOS and a significant positive effect on environmental sustainability (EVS). In practical terms, the findings are consistent with previous empirical studies, and they also validate X-efficiency theory (XET) and resource curse theory (RCT). The study concludes with implications, limitations and further research directions.

Data envelopment analysis (DEA) is used to determine the relative efficiency of the top-ranked gynecology departments in the United States as designated by the U.S. News & World Report ranking. DEA is a linear programming base procedure used to determine the relative efficiency of operating units that have similar characteristics. Efficiency scores are calculated by comparing two different input sets to the performance of each gynecological department. Ranking based on DEA more completely and accurately represents gynecological departments. Further, DEA makes it possible to fairly compare specific departments. The new ranking coupled with the efficiency score accrued by each hospital will motivate and guide hospital administrators to improve the performance of hospital gynecology departments by better utilizing expensive resources.

Among world’s economies, the circular economy (CE) has become popular especially in the European Union and China, which opens several opportunities for sustainability leaders to gain a first-mover advantage and, consequently, to pursue organizational sustainability and growth. In spite of public policy support, since CE often requires entrepreneurial innovation among complex networks of companies, most companies are still learning how to manage knowledge dynamics at the inter-organization level. The chapter starts by defining the key characteristics of CE and identifying the peculiarities in terms of inter-firm cooperative and competitive relations, which help in delineating contributions from the green supply chain literature. The second section shows – through the discussion of term maps – how multiple- and inter-disciplinary streams of research are increasingly linked by hard (i.e., information communication technologies based) and soft (i.e., relational and organizational) aspects of knowledge management. The third section provides a discussion on key hard and soft factors that characterize four knowledge dynamics, i.e., knowledge creation, knowledge storage, knowledge transfer, and knowledge sharing that can improve the adoption and integration of circular processes within inter-organizational coopetitive strategies. Particular attention is here given to the cross-analysis of outcomes from theoretical papers, case studies, and quantitative empirical researches that contribute to shaping relations between internal and external factors that might play as predictors of a successful implementation of CE principles. Finally, the last section concludes with recommendations for improving organizational and managerial capabilities to manage inter-firm knowledge dynamics while pursuing CE objectives in international business environments. Beside this guidance for practitioners, directions for further research are suggested for each pillar of the emerging conceptual model.

The circular economy is a system that aims to conserve resources at every level for as long as possible with a minimization of waste. The core concept of the circular economy is to improve resource efficiency and prevent valuable materials from leaking out of the system. Better use of increasingly scarce resources can provide both economic and environmental benefits. When excess inventory, returned products, and end-of-life products are disposed of improperly, unnecessary waste is created, often with a detrimental impact to the environment. An effective system must exist to facilitate the proper handling of these products, and secondary markets are a crucial component in this system. In this chapter, we discuss the secondary markets’ role as an important mechanism for achieving a circular economy.

It is not in doubt that pollution prevention and resource efficiency projects can sometimes make good business sense for an individual enterprise. For organizations that have previously done little to address their environmental impacts, some opportunity frequently exists to lessen those impacts while raising production efficiency and keeping their basic approach to business intact. This was the experience of many businesses during the 1980s and the origins of the suggestion that the environment was a “win-win” issue for business (Walley & Whitehead, 1996). Simply updating production equipment can offer a double dividend, which is partly why so many businesses are able to claim they are getting greener while aggregate environmental conditions deteriorate (McDonough & Braungart, 2002). The unresolved issue is whether an ongoing commitment to improve environmental performance is reflected in ongoing gains in business performance. As expressed by one advocate of eco-industrial development, the issue is not about doing the same with less but rather about doing far more with far less (Cohen-Rosenthal, 2003, p. 22).

This chapter aims to provide a comprehensive understanding of the urban outcomes of smart city projects, focusing on their primary objectives. The first objective is to facilitate the management and flow of information, data, and resources to enhance resource efficiency, sustainability, and the quality of life for citizens and stakeholders. This chapter offers insights into the urban objectives of smart city projects within the local ecosystem, with a specific emphasis on digital and key urban outcomes. It provides an overview of the digital outcomes, including the advancement of digital systems for safety and urban monitoring, the provision of customized digital services, and the promotion of citizen engagement through digital platforms. This chapter also evaluates the environmental outcomes of smart city projects, such as improved quality of life, increased urban efficiency, and contributions to a sustainable environment. To provide a well-rounded understanding, interviews with policymakers and city managers, as well as case studies from cities like London, Medellin, Helsinki, Singapore, Girona, and San Diego, are incorporated. Furthermore, this chapter incorporates data and findings from top-tier international journals to provide a clear understanding of the impact of smart cities on the local ecosystem.

This research aims to explore the potential of big data technology for sustainable management and investigate its impact on tourism. Its goal is to obtain meaningful results related to sustainable tourism to understand better how big data technology plays a role in decision-making by looking at it through the lens of various studies.

A systematic review, which is a qualitative method, was used in this study. The analysis was conducted using secondary data from the Web of Science Core Collections databases.

Big data technology has many economic benefits for businesses, but it also has managerial benefits such as forecasting, decision-making and tracking human and machine behaviour. Furthermore, big data technology offers sustainability benefits such as resource efficiency, preventive quality systems, carbon reduction and environmentally friendly production.

Big data's capabilities enable businesses to make more informed business decisions, improve overall business performance and contribute to achieving various SDGs. Big data, which aids in developing smart and sustainable tourism in the tourism sector, assists tourism managers in making economically, socially and environmentally sound decisions.

Resilience of the economy is related with its ability to cope with the challenges (e.g., economic and environmental crises). Economies need to be resilient as countries having resilient economy can enhance welfare of their people and achieve sustainable development (SD). Total factor productivity can be improved through smart technologies, smart workforce, and innovations. It requires holistic and systematic as well as strategic approach as it is directly related with the SD of the countries and welfare of their people. It is directly related with the policies covering all these main aspects with the long-term, systematic, and holistic view. Resilient economies need to enhance their resilience to keep them resilient despite of the changes which can act as threats in the future. Resilience of the economy necessitates transformation of the manufacturing industry (MI) into the sustainable, smart, circular, and global one. In this way MI's competitiveness can be enhanced. For this reason, based on an in-depth literature review, this chapter aims to examine ways for enhancing resilience of the global economy through smart, circular, and competitive MI. Specific focus is on the policies fostering the transformation of the MI into the sustainable, smart, circular, global, and innovative one. This chapter emphasizes the importance of and need for the productivity-based resilient economy. Policy makers, academics, and researchers in the relevant field can get benefit from this chapter.