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Public service provision in the European Union has received great attention in the last decades. Waste management is among the most important public services and challenges for a sustainable world owing to its impact on the environment, economic development, human health, and equity. Throughout Europe, along with the circular economy, the related zero waste (ZW) framework is also rapidly spreading. This introduction provides information about research questions and methodology used to discuss the most relevant and critical issues for good management of waste service provision under the ZW framework.

The chapter illustrates the relationships between concepts, theories, and processes presented so far in the book.

The cases explored show how this model can be recognized first and foremost in publicly owned waste operators linked to the territory where the service is provided. The content that justifies and legitimizes their presence is that of the integral recovery of materials through the zero waste strategy.

Innovation, responsibility, stakeholder engagement, and knowledge sharing have been highlighted as the four key drivers of sustainable urban waste management. These drivers reciprocally reinforce each other in a virtuous exploitation system that generates a positive circular path of new managerial and technical resources and competencies, and new responsibility schemes shared among managers, policymakers, employees, and users.

Further, each key driver impacts the economic, environmental, and social performance of urban waste operators, increasing the overall impact and strengthening the effect of the other drivers in a virtuous exploitation of benefits for waste operators and stakeholders beyond the served territory.

Environment Management, Solid Waste Management.

This case is suitable to be used in advanced undergraduate and MBA/MSc level.

This case revolves around the challenges pertaining to waste management in Iran. Poor waste management practices can result in soil contamination, water pollution, and air pollution, can cause respiratory problem, and can create permanent adverse health effect. Thus, a solid waste management system is needed for safeguarding the public health, safety, and welfare. However, it seems not an easy task for the developing countries, and Iran is not an exception to this. Recycling has three particular steps: collection and processing, manufacturing, and purchasing new products which made from recycled materials which require heavy investment. Lack of investment in the Iranian recycling sector has made this issue more complicated and lagging behind. This case highlights the challenges faced by the Iranian Municipality in this regard.

The learning objectives are as follows:

• to expose students to an actual situation where they will be aware of the necessity to care for the environment and reduce and reuse the products that they are utilizing in their every days’ life;

• to highlight the need of a municipal waste management system to make route optimization for waste collection and transport system, storage, recycling plan, compost and incineration facility, proper site for landfill, etc.; and

• to emphasize the required support from all stake holders in managing waste.

to expose students to an actual situation where they will be aware of the necessity to care for the environment and reduce and reuse the products that they are utilizing in their every days’ life;

to highlight the need of a municipal waste management system to make route optimization for waste collection and transport system, storage, recycling plan, compost and incineration facility, proper site for landfill, etc.; and

to emphasize the required support from all stake holders in managing waste.

Chapter 4 focuses on how can we best measure and compare performance of waste management companies, discussing the triple bottom line perspective as a driving approach for public service provision like urban waste management. This approach contributes to extend relevant performance dimensions, broadening its scope to encompass not only cost and efficiency in waste collection and treatment but also environmental and social implications.

The concept of Circular Economy (CE) has gained significant traction in addressing the issue of Construction and Demolition (C&D) waste, which is generated because of global urbanisation and urban renewal. Therefore, this research aims to explore the applicability of CE strategies to minimise the C&D Waste Management (WM) issues in Sri Lanka considering the preconstruction stage of the building project.

The research adopted a qualitative approach, using three expert interview rounds with the Delphi technique. In each round, 17, 15 and 12 experts were involved. A manual content analysis method was used to analyse the collected data.

Findings uncovered effective strategies in CE to address the 14 issues within C&D WM and its effects on the project management iron triangle in Sri Lanka. Integrating CE strategies within the construction sector to tackle C&D WM issues can significantly contribute to establishing a more sustainable, robust and resource-conscious built environment. By adopting CE strategies such as design for adaptability of existing buildings and design for disassembly, construction projects can optimise the project's timeline, cost and quality factors.

This will help to minimise the demand for virgin materials and reduce the volume of waste generated. Using recycled materials also helps close the loop of the materials cycle, thereby contributing to the CE. Also, this research contributes uniquely by offering practical, context-driven solutions that align with Sri Lanka’s construction sector.

This study aims to fill a knowledge gap about the best ways to execute waste management regulations that support sustainability and environmental responsibility. However, the study seeks to investigate and assess how well waste management systems support sustainability and environmentally friendly behaviors.

Since the quantitative technique was used to discover and generate hypotheses about relationships between variables, it was chosen for the entirety of the study. The data collection from ready-made garments (RMG) in Bangladesh was carried out using a survey strategy that involved the distribution of questionnaires using a cluster sampling approach. The partial least squares structural equation model (PLS-SEM) was used for quantitative analysis with SmartPLS.

However, the results show the importance of waste management, green practice methods and sustainability for the company's goal of maintainable performance. On the other hand, PLS-SEM demonstrated that based on the provided t-statistics and p-values, all of the routes in the structural model are statistically significant at the level of p < 0.05. These routes also appeared to have far broader and more powerful effects. Principles of the circular economy are highlighted, as are the importance of holistic methods, awareness and education, stakeholder participation and fusing these concepts. Furthermore, it seems to affect significantly both short-term and long-term success due to its distinctiveness in sustained performance.

Much time will be required to assess waste management methods and their long-term effects. A healthcare manager may adapt research findings to practice, ensuring the study enhances management and patient care.

This research addresses a significant literature gap by providing managers and policymakers with concrete ideas on integrating sustainability into operational and strategic frameworks. In today's competitive environment, integrating stakeholder engagement and green practices into core company operations is an innovative way to achieve sustainable excellence.

This research focuses on the role of facilities management (FM) elements which are people who represent the household, and process, place and technology as the FM elements. The findings of this research include a list of suggestions to improve SSI implementation based on the FM elements. A waste separation behaviour model was established based on the findings, which was then further validated by experts in related fields.

This paper explains how the process, place and technology elements of FM moderate and influence waste separation behaviour among households. A conceptual framework is proposed, grounded on the theory of planned behaviour (TPB), and a questionnaire survey was conducted to collect primary data from 900 eligible respondents among the residents of high-rise residential units in Malaysia’s capital city, Kuala Lumpur. SmartPLS software was used to analyse the structural equation model (SEM) of the conceptual framework developed to test the moderator’s effects.

The findings show that the process, place and technology moderators significantly and positively affected the relationship between perceived behavioural control and waste separation behaviour. Process and technology moderators significantly and positively affect the relationship between moral norms and waste separation behaviour among households. This research focuses on the role of FM elements which are people who represent the household and process, place and technology as the FM elements. The findings of this research include a list of suggestions to improve Separation at Source Initiative (SSI) implementation based on the FM elements. A waste separation behaviour model was established based on the findings, which was then further validated by experts in related fields.

This study implements the case of categorical moderator type and multiple constructs toward the relationships of formative indicators and contributes to knowledge regarding the analysis of moderator variables and structural equation modelling.

The purpose of the study is to evaluate mobile apps developed to prevent food waste from the perspective of responsible production and consumption.

The study employs qualitative methods, and the dataset consists of the 1,382 content and online reviews and comments for 11 mobile apps in addition to 30 in-depth interviews conducted with consumers and restaurant managers/owners using the apps.

Mobile apps are proving to be popular with people, inviting users to fight food waste in a sustainable and responsible way. While users' main motivations for becoming food waste fighters are responsibility, positive emotions and economic sensitivity, restaurants' motivations are different, such as social responsibility, innovative business models, attracting new customers and cost orientation.

Creating digital value and contributing significantly to sustainability in the food industry, mobile apps offer different opportunities to the market. By supporting and encouraging the use of these apps, businesses can reduce food waste, prevent financial losses and offer consumers more choice and variety.

The present study aims to address this lack of empirical research based on a holistic perspective by providing a multidimensional assessment. Such an approach should contribute to a thorough understanding of the motivations that drive users and restaurants to become food waste fighters.

This study aims to understand the perception of young people regarding different communication strategies to promote proenvironmental disposal behavior. Based on the attention-interest-desire-action (AIDA) model, the study analyses how university students react to different communication approaches used by a university aiming at the correct disposal of waste.

The authors conducted a qualitative exploratory research in two steps: (i) a narrative bibliographic review and (ii) a case study. The (i) bibliographic review was conducted about proenvironmental behavior and disposal of solid waste and response hierarchy models, with emphasis on the AIDA model. The (ii) case study was executed through an in-depth interview with a manager of the environmental sanitation area and a qualitative survey with undergraduate students from a university in southern Brazil.

The findings reveal that young people tend to prefer communication strategies related to triggers for long-term memory, especially when evaluating the cognitive stage of the response hierarchy. For example, the provision of bins identified with stickers and colors is a communication strategy that leads to a memory model of associative networks. By viewing a certain color or image of an object, the individual can quickly retrieve information already known about the act of properly disposing of waste. Additionally, convenience is a key factor for the behavioral intention of properly disposing of waste to become a reality.

Few studies have identified the most effective communication strategies to promote proper disposal behavior among young people in universities. This study addresses this gap, based on the AIDA model.

The purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.

A literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.

The performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.

This study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.