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This research was performed with the aim of determining if the emptying of latrines in a flood‐prone urban slum area would be a sustainable and profitable business for private‐sector service providers.

Monte‐Carlo analysis was used to evaluate the economic sustainability of a proposed public‐private waste transportation service. A GIS‐assisted route analysis was also performed, with participation by private and public sector stakeholders.

The analysis also showed that if a low‐cost subscription service is implemented in the area, the commercial service providers will operate at a loss in all cases, unless changes are made in the truck fuel efficiency, the operating hours of discharge sites, and the transportation network.

The research was based on service provider operations costs extrapolated from previous studies and updated through informal interviews. A thorough and transparent review of cost accounting procedures is necessary to validate the results.

This study identified challenges and potential solutions which must be addressed by practitioners in order to ensure success of a subscription‐based service.

This study adds to the existing literature by demonstrating the applicability of an analytic modeling technique based on Monte‐Carlo simulation and provides an example of how academic research can be tightly coupled with practitioner needs in order to have a direct impact on operational humanitarian projects.

Internet use has a high environmental footprint that is often overlooked by end users. This paper contributes to limiting the negative environmental footprint of Information Technology (IT) use by understanding the relationship between environmental concerns and use of IT amongst users who are aware of the environmental footprint of IT use. Second, the paper argues that taking environmental concerns into account in technology acceptance studies is relevant, even in studies concerning ordinary IT (i.e. IT not commonly classified as “green” technology).

The authors conduct two vignette-based surveys in two different countries: the USA and Belgium. Partial least squares structural equation modeling (PLS-SEM) is used to analyse the effect of environmental concerns on the intention to use the webcam during online meetings and binary logistic regression is used to analyse the relationship between environmental concerns and reported actual use of webcams.

The higher the respondents' environmental concerns, the higher their intention to use internet systems in a more environmentally responsible way, provided the respondents are aware of the environmental footprint of internet system use. Moreover, the higher the respondents’ environmental concerns, the more likely they are to use internet systems in a more environmentally responsible way.

This study is the first to distinguish “Greening of IT Use” from “Greening of IT” and “Greening by IT” and to show that environmental concerns has an impact on the way end users (intend to) use internet systems, provided the users are aware of the environmental footprint of that use.

Green lean six sigma (GLSS) is a sustainable development approach that leads to improved patient care with improved safety and quality of service to patients. This study aims to identify, study, model and analyze GLSS success factors for the Indian health-care facility.

Interpretive structural modeling (ISM) and Impact Matrix Cross-Reference Multiplication Applied to a Classification analyses have been used to understand the hierarchical structure among the GLSS success factors. This enabled the development of dependency relationships between success factors, in particular, which factors support the development of other factors.

Specifically, this study found that the success factors “commitment of management” and “financial availability” are the most critical to GLSS implementation success, as they support the development of all other success factors. Meanwhile “embedding sustainable measures at each stage of the service”; “the capability and effectiveness of real-time data collection”; and “feedback and corrective actions” most directly support the GLSS implementation in the health-care facility and serve as the final indicators of implementation progress.

The major implication of this research work lies in suggesting a direction for practitioners to execute the GLSS approach through a systematic understanding of classification and structural relationships among different enablers. This study also facilitates health-care managers to explore different GL wastes in hospitals and challenges to sustainability pursuits in health-care that assist in an organization’s efforts toward sustainable development.

This research work is the first of its kind that deals with the identification and analysis of the prominent factors that foster the inclusive implementation of GLSS within the health-care facility.

This chapter draws on previous work calling for a narrative criminology sensitive to fictional stories about how we have instigated or sustained harmful action with respect to the environment. It begins by offering some defining features of narrative criminology, before turning to two examples of narrative criminological work focused on environmental crime and/or harm. One analyzes a corporate (offender's) website; the other examines attorneys' stories of environmental wrongdoing. Together, they depict a cultural narrative in the US of the causes, consequences, punishments (or lack thereof) and corporate representations of environmental harm. Next, this chapter turns to a discussion of examples of depictions or representations of environmental harm and protection in the literature. Here, the focus is on fictional works that are explicitly environmental – where the subject, plot and message centre on one or more environmental issues, such as a particular harm, its cause or causes and possible responses thereto. Finally, this chapter considers ‘allegories of environmental harm,’ examining literature that is less overtly environmental. As an illustration, it suggests an interpretation of the American children's story, Muncus Agruncus: A Bad Little Mouse (Watson, 1976), as a cautionary tale of Western hubris in the face of environmental catastrophe – with the goal of demonstrating how green criminologists have attempted to identify environmental lessons and messages in works with ostensibly other or broader messages. Overall, the intent is to acknowledge both that cultural narratives (and our interpretation of them) change and to demonstrate (the importance of) human agency to transform those narratives (and our interpretation thereof).

This paper describes the sustainability partnership between the City of Vancouver and the University of British Columbia (UBC) and, in particular, the co-curricular Greenest City Scholars graduate student internship program, which has been developed by the two organizations. Through the program, UBC graduate students work on projects at the City that help to advance sustainability targets. The paper aims to explore the successes, challenges and lessons learned from the program.

This case study uses literature and document review, observations, program participant evaluation surveys and project impact survey feedback.

The Greenest City Scholars program model has contributed to the sustainability goals at UBC and the City of Vancouver and has supported the partnership between the two organizations. The program has grown over its five-year history and is considered to be a central part of the partnership. Breadth of student participants from across the university and high participation from City departments have been achieved. The model is now being adapted to be delivered within other partnerships.

The experiences presented in this case study can help other higher education institutions understand how a co-curricular graduate student work experience program could help to bolster their own sustainability partnerships.

This paper makes a contribution by providing insight into the use of a graduate student program to advance the goals of a university–community sustainability partnership.

The aim of this paper is to better understand European consumers' behaviour in relation to Short Food Supply Chains (SFSCs), so as to provide insights to support their development as part of a sustainable food system. Specifically, it aims to analyse consumer purchase patterns, motivations and perceived barriers and to identify patterns of behaviour amongst different consumer groups.

An online consumer survey was conducted in 12 European countries (n = 2,419). Quantitative data analysis, including principal component analysis (PCA) and cluster analysis, was undertaken using SPSS.

Four consumer clusters are named according to their behavioural stage in terms of SFSC engagement: Unaware Unengaged, Aware Unengaged, Motivationally Engaged and Executively Engaged. Unaware Unengaged and Aware Unengaged are in the non-engagement phase of behaviour. Motivationally Engaged are motivationally activated to engage in the behaviour but fail to do so consistently. Executively Engaged is the fully engaged cluster, being motivated to act and purchasing local food on a frequent basis. The results show an interesting interplay between motivations and barriers, i.e. higher scores for motivations and lower scores for barriers do not necessarily translate into higher purchase frequency.

The research gleans insights into the contextual factors that may inhibit SFSC purchases in different consumer segments. It offers practical implications for policymakers and others seeking to develop SFSCs as part of a sustainable food system.

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.

The nature of policework is uniquely challenging to officers’ mental health, producing detrimental outcomes such as higher rates of suicide, substance abuse and divorce compared to other occupations. This is especially true in small and rural police departments, where officers often have broader responsibilities and cover a larger geographic area than their counterparts who work in large urban departments. Given the limited resources available to small and rural police, the purpose of this study is to explore the mental health services available to officers in small and rural police departments.

We used a mixed methods approach. First, we surveyed 349 small and rural Pennsylvania police chiefs about the mental health services in their department. Of these chiefs, 53 participated in subsequent in-depth qualitative interviews about officer awareness of the mental health services available to them, what resources they thought would be helpful to officers and what barriers exist to prevent officers from seeking help.

Quantitative results indicated that 22% of small and rural police departments had no mental health programs available to officers; Critical Incident Stress Management and Employee Assistance Programs were most commonly available. Budget size and the presence of a union influenced whether a department had mental health programs available to officers. Qualitative interviews found that although most departments provided some mental health services, officers were unlikely to use them. Chiefs expressed a need for improved services that officers might be more likely to use.

Given the lack of resources available in small and rural police departments and the lack of adoption of some resources, we recommend peer assistance, general wellness programs and telehealth as feasible options for officer mental health.

Small and rural police comprise the bulk of policing in the USA, yet remain understudied. This study focuses on small and rural police.

Green signaling refers to the notion that environmentally friendly purchases signal consumers' prosociality and willingness to pay more, thus enhancing their social status. This study investigated the green signaling effect among Gen Z and Millennial consumers on social media by adopting costly signaling theory.

A series of experimental studies were conducted to test the hypotheses. Thus, a 2 (organic vs. nonorganic) × 2 (luxury vs. non-luxury) between-subjects design was used in Study 1 (150 participants) and a 2 (organic vs. nonorganic) × 2 (high vs. low brand authenticity) between-subjects design was employed in Study 2 (148 participants).

The results of Studies 1 and 2 confirmed the mediating role of perceived status in the relationship between apparel greenness and purchase intention. However, brand label and authenticity did not have a moderating influence. The overall findings confirmed the green signaling effect of organic apparel in the social media marketing context.

This study contributes to the existing literature by suggesting a cultural capital perspective for promoting green products among Gen Z and Millennial consumers. It also encourages marketers to implement green messaging on social media, highlighting the amount of resources and efforts invested in sustainable production.

This study adopted existing brands to test the hypotheses, using images of female influencers.

This study aims to evaluate the color accuracy of HP Jet Fusion 580 3D printing, comparing 3D-printed outcomes against original digital input colors.

A custom cyan, magenta, yellow and black (CMYK) and red, green, blue (RGB) color chart was applied to the top, bottom and side surfaces of a 3D model. Four of each model were 3D-printed on a HP Jet Fusion 580, and half the samples were finished with a cyanoacrylate gloss surface finish, while half were left in raw form. A spectrophotometer was used to document CIELAB (L*a*b*) data, and comparisons made to the original input colors, including calculation of ΔE.

The CMYK samples were significantly more accurate than RGB samples, and grayscale samples in both color spaces were the most accurate of all. Typically, CMYK swatches were darker than the input values, and gloss samples were consistently darker than raw samples. The chromaticity (a*b*) range was found to be significantly smaller than what can be achieved digitally, with highly saturated colors unable to be produced by the printer.

This is the first study, to the best of the authors’ knowledge, to characterize the full color spectrum possible with the HP Jet Fusion 580, recommending that designers use the CMYK color space when applying colors and textures to 3D models. A quick-reference color chart has been provided; however, it is recommended that future research focus on developing a color management profile to better map digital colors to the capabilities of the printer.