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The purpose of this paper is to draw upon concepts in community‐oriented policing in order to explore the distribution of citizen water‐monitoring organizations and their role in community environmental policing, in order to address the issue of environmental justice. The empirical portion of the analysis examines the distribution of these organizations across states, and the relationship of this distribution to social inequity.

This study design is cross‐sectional in nature and examines the distribution and density of 1,308 citizen water‐monitoring organizations across states. Ordinary least squares regression is used to examine the relationship between the density and social disadvantage while controlling for environmental enforcement patterns, rates of non‐compliance, water quality, region of the country, water area, and coastal states.

Race and ethnicity are negatively correlated with the density of water‐monitoring organizations across states. Median household income is positively correlated with water‐monitoring organizations across states.

This paper suggests that community environmental policing is a response to ecological disorganization. More specifically, in the case of citizen‐led water‐monitoring organizations it is critical that states with relatively large proportions of low income, black and Hispanic residents help provide resources to encourage the development of these community groups.

This paper is the first to draw upon the ideas found in the community‐oriented policing literature to examine water‐monitoring organizations. While the literature suggests that collaborative efforts between state law enforcement agencies and water‐monitoring organizations may help combat ecological disorganization, it is also the first study to suggest that environmental injustice could be an unintended drawback of community environmental policing.

The purpose of this paper is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management practices on environmental and organizational performance from a manufacturer's perspective within a supply chain context.

An environmental collaboration and monitoring performance model is theorized and assessed following a structural equation methodology. Data were collected from 159 manufacturing managers through an on‐line survey.

Environmental collaboration and monitoring practices among supply chain partners are found to lead to improved environmental performance and organizational performance.

As a first wave investigation of the impact of green supply chain management practices on performance, the study is somewhat exploratory.

Practitioners are provided with a framework for assessing the impact of environmental collaboration and monitoring practices among supply chain partners on environmental performance and organizational performance. The study provides evidence that green supply chain practices lead to improved environmental and organizational performance.

The results also have important societal implications. While green supply chain management practices enhance the economic sustainability of the firm, they also positively impact society through improvements to the overall environment.

The results of this investigation support the proposition that implementation of environmental collaboration and monitoring practices by supply chain partners are both environmentally necessary and good business. The paper provides manufacturing managers with a structured approach to improving both environmental and organizational performance through environmental collaboration and monitoring with customers and suppliers.

The purpose of this paper is to analyse the complex interrelationships among environmental drivers, Green Supply Chain Management (GSCM) approaches and performance.

A survey was sent to a sample of managers in the field of Purchasing and Supply Management in Spanish firms. Data were analysed using SmartPLS 2.0 to test a model that relates GSCM drivers, GSCM approaches and performance.

Results show that coercive and non-coercive drivers have different implications in terms of GSCM approaches. Moreover, monitoring itself is not sufficient to improve performance; firms need to adopt collaborative practices with their suppliers. Results show that whereas collaboration has a direct effect on performance, monitoring has only an indirect relationship through collaboration.

One of the main limitations of this study is the use of data from a single country (Spain). The main contribution of the paper is to show that coercive and non-coercive drivers have different effects on the GSCM approaches. Additionally, it quantifies the mediating effect of collaboration on the relationship between monitoring and environmental performance. As further research, the authors suggest the replication of this study in other countries (notably in emerging markets) and industrial sectors.

This study provides guidance to managers in the implementation of specific approaches of GSCM. For example, it shows that monitoring alone has no direct effect on performance whereas joint collaborative initiatives with suppliers have a significant effect on environmental performance.

This study analyses the implications in terms of drivers and performance for each GSCM approach (monitoring and collaboration), using a quantitative approach.

Project management generally covers many important areas such as cost, quality and time in different industrial settings, but it is deficient in relation to integration of health, safety and environmental risks. Poor knowledge of project managers about HSE management necessitates the studying on the mutual effects of HSE and project management. Hence, investigating the impact of project management on health monitoring programs, safety prevention monitoring, environmental monitoring plans and finally the effectiveness of professional health monitoring programs and determining their importance are main objectives of this research. The paper aims to discuss these issues.

A model based on structural equations was designed and developed. The constructs of this model are project management, health monitoring and safety prevention monitoring program. Based on the conceptual model, some questionnaires were prepared and distributed among the experts of strategic project management.

The results of applied structural modeling suggest that project management focuses on each aspect of HSE management, including health monitoring programs, safety prevention monitoring programs, environmental monitoring plans and effectiveness of professional health monitoring programs. HSE management can also be strengthened by empowering project management. Checking fire protection systems, using appropriate techniques to identify contamination and disposal of waste and incorporating techniques for brainstorming or other ideas creation in the group are the most important tasks in HSE-enabled project management frameworks.

Since there is still no strategic alignment model that includes components of project management and HSE management, a model for achieving this goal is vital. This paper elaborates this alignment based on literature and using a field study.

Firms are increasingly being pressured by the public, regulators and customers to ensure that their suppliers behave in a socially and ecologically sound manner. Yet, the complexity and risks embedded in many supply chains makes this challenging, with monitoring practices offering one means to attenuate supply sustainability risk. Drawing on agency theory, the purpose of this paper is to examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance.

This research uses data from a survey and archival sources from a sample of large US firms to empirically examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance.

Findings indicate that higher levels of perceived sustainability risk is related to greater monitoring of supplier sustainability practices by focal firms. Perceptions of higher operations risk are indirectly related to greater social monitoring through investment in supply improvement initiatives. Monitoring of supplier sustainability practices is also found to have a positive effect on focal firm performance.

Findings suggest that managers process operations risks and sustainability risks independently. Greater sustainability risk leads to increased sustainability monitoring, while greater operations risk leads to increased investment in supply improvement initiatives, which in turn leads to increased social monitoring. The research also indicates that behavior-oriented approaches, such as monitoring of supplier environmental and social practices, are an effective approach to improving firm sustainability performance. However, due to resource constraints, a challenge for supply chain managers is where and when to invest in behavior-oriented approaches for suppliers.

This research advances supply risk literature by exploring the effects of supply sustainability risk on the use of monitoring practices to manage supplier environmental and social behavior. Using a combination of survey and archival data to independently assess the implications of sustainability monitoring practices on firm sustainability performance, this study provides a methodology for evaluating the impact of sustainability monitoring practices on the triple bottom line in supply chain management.

Cultural heritage archives rely on environmental monitoring devices, such as dataloggers or more complex networked systems, to ensure collection preservation through collecting temperature, humidity, light and/or air quality measures. Existing systems are often costly, inflexible and do not use a modern, internet of things (IoT) approach. This paper aims to determine the suitability of currently popular general-purpose IoT devices, standards and technologies to the environmental monitoring needs of archivists, as well as identify any challenges.

This paper describes an exploratory study detailing the design, construction and usability testing of a do-it-yourself datalogger and data dashboard system, which seeks to manage previously identified trade-offs in cost, required technical skill and maintainability.

The environmental monitoring system presented met archivists’ needs well and was generally noted to be easy-to-use, efficient and an improvement on existing systems. This suggests that an IoT approach can support archivists’ needs in this area.

Potential limitations of this study include lack of archival staff with sufficient technical training to maintain such a system and the rapid pace of IoT evolution yielding unstable and constantly changing technologies.

The system design presented in this work provides a blueprint for cultural heritage organizations desiring a fuller-featured, lower cost environmental monitoring system for archival collections.

This research takes a novel user-centered, open-source, IoT approach to construct an environmental monitoring system that is designed directly from archivists’ requirements and is extensible for future needs.

This research aims to extend the “collaborative paradigm” proposed by others in prior research beyond a supply chain's core operations. To date, this paradigm has generated relatively little empirical research on peripheral, non‐core areas such the natural environment. Antecedents (both plant‐level and supply chain characteristics) of green supply chain practices (GSCP) are examined. Among possible antecedents, prior research pointed to supply chain integration – both logistical (tactical level) and technological (strategic level) – as a potentially important determinant of green practices.

Green practices are defined along the two dimensions of environmental collaboration and monitoring. The empirical analysis used data from 84 plants in North America surveyed in 2002. Validity and reliability of scales for new and existing constructs were assessed through factor analysis. Hierarchical linear regression was used to test the hypotheses for the antecedents of GSCP.

Technological integration with primary suppliers and major customers was positively linked to environmental monitoring and collaboration. For logistical integration, a linkage was found only with environmental monitoring of suppliers. Finally, as the supply base was reduced, the extent of environmental collaboration with primary suppliers increased.

Greater supply chain integration can benefit environment management in operations, and the collaborative paradigm can be extended to this domain. A limitation is that the empirical analysis focused on one industry representing a single echelon.

This is one of the few studies that conceptualize and empirically test GSCP, and consider both and separately upstream and downstream interactions in the supply chain.

This study aims to investigate the potential influence of organisational responses to conflicting institutional demands towards barriers to environmental performance (EP) monitoring of government green procurement (GGP) in Malaysia.

The paper used a qualitative methodology based on a single case study involving policymakers, procurement officials and a monitoring authority. The study data were analysed drawing on the perspectives of organisational responses to conflicting institutional demands.

The three key challenges that hindered EP monitoring of GGP in Malaysia were policy irregularities, knowledge asymmetry and communication gaps. These challenges are likely the consequences of the acquiescence, avoidance, compromise and defiance strategies commonly used in dealing with the institutional complexity faced in Malaysia’s public policy arena.

The government, at various institutional levels, may benefit from the theoretical and empirical findings of the case study. Knowledge of barriers can facilitate the policymakers in designing the monitoring process meticulously. Meanwhile, awareness of the influence of organisational responses to institutional complexity on GGP barriers can help redefine field actors’ interests and values in improving policy monitoring. In addition, reporting of the monitored EP bridges the institutional gaps between the macro-state level and the micro-organisational level of GGP, besides increasing the government’s transparency and accountability regarding green procurement.

Fewer challenges in the EP monitoring system contribute to an improved GGP policy. In turn, an improved policy may enhance public health and reduce environmental degradation.

The study contributes to the GGP monitoring and institutional theory by showing that barriers to EP monitoring culminate from the organisational response to the institutional demands faced in the policy environment. The authors argue that this is one of the few studies that have examined the barriers to EP monitoring of public policy explicated in the context of organisational responses to institutional demands.

The purpose of this paper is to provide a feasible scheme for local governments to regulate corporate environmental data fraud and to discuss whether the influence of the construction of online information disclosure platform on the environmental behavior of enterprises is better than the offline spot check.

Under the background of changing environmental fees into taxes in China, this paper conducts evolutionary game analysis between local governments and enterprises in view of the existing problem of environmental data fraud. Furthermore, through the introduction of government information disclosure platform, this paper discusses the impact of the integration of direct government regulation and indirect public concern regulation on the evolution of environmental behavior of both sides. Finally, the evolutionary game is simulated by adopting system dynamics to analyses the implementation effect of different cases on the game process and game equilibrium.

The results showed that the introduction of information disclosure platform mechanism can effectively suppress the fluctuations existing in the game play and stabilize the game. Moreover, it is worth noting that the regulatory effect of local governments investing part of the monitoring cost in the construction of online information platform is proved to be better than that of putting all the monitoring cost into offline investigation. While optimizing the monitoring cost allocation, the local government still needs to attach great importance to organically combine the attention of the public and media with the governmental official platform.

The obtained results confirm that the proposed model can assist local government in refining the effects of their environmental regulatory decisions, especially in the case of corporate data fraud under environmental tax enforcement.

Previous literature only suggested that local governments should reduce the cost of supervision to change the corporate behavior to a better direction, but no further in-depth study. Thus, this study fills the gap by discussing the positive transformation effect of local government cost allocation scheme on corporate environmental behavior.

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.

In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.

The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.

The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.