Environmental Management Initiatives Research Articles

Short-term PM2.5 forecasting using a unique ensemble technique for proactive environmental management initiatives

Particulate matter with a diameter of 2.5 microns or less (PM2.5) is a significant type of air pollution that affects human health due to its ability to persist in the atmosphere and penetrate the respiratory system. Accurate forecasting of particulate matter is crucial for the healthcare sector of any country. To achieve this, in the current work, a new time series ensemble approach is proposed based on various linear (autoregressive, simple exponential smoothing, autoregressive moving average, and theta) and nonlinear (nonparametric autoregressive and neural network autoregressive) models. Three ensemble models are also developed, each employing distinct weighting strategies: equal distribution of weight among all single models (ESME), weight assignment based on training average accuracy errors (ESMT), and weight assignment based on validation mean accuracy measures (ESMV). This technique was applied to daily PM2.5 concentration data from 1 January 2019, to 31 May 2023, in Pakistan’s main cities, including Lahore, Karachi, Peshawar, and Islamabad, to forecast short-term PM2.5 concentrations. When compared to other models, the best ensemble model (ESMV) demonstrated mean errors ranging from 3.60% to 25.79% in Islamabad, 0.81%–13.52% in Lahore, 1.08%–7.06% in Karachi, and 1.09%–12.11% in Peshawar. These results indicate that the proposed ensemble approach is more efficient and accurate for short-term PM2.5 forecasting than existing models. Furthermore, using the best ensemble model, a forecast was made for the next 15 days (June 1 to 15 June 2023). The forecast showed that in Lahore, the highest PM2.5 value (236.00 μg/m3) was observed on 8 June 2023. Other days also displayed higher and poor air quality throughout the 15 days. Conversely, Karachi experienced moderate PM2.5 concentration levels between 50 μg/m3 and 80 μg/m3. In Peshawar, the PM2.5 concentration levels were consistently unhealthy, with the highest peak (153.00 μg/m3) observed on 9 June 2023. This forecasting experience can assist environmental monitoring organizations in implementing cost-effective planning to minimize air pollution.

Investigating of Spatial Urban Growth Pattern and Associated Landscape Dynamics in Congolese Mining Cities Bordering Zambia from 1990 to 2023

This study investigates the spatial urban growth patterns of cities along the Democratic Republic of the Congo (DRC) and Zambia border, a region of significant economic importance characterized by cross-border trade. This activity has led to rapid but unplanned urban growth. The objective is to quantify the spatial expansion of Congolese cities (Kipushi, Kasumbalesa, Mokambo, and Sakania) bordering Zambia and to evaluate associated landscape changes. The methodology of this study includes the supervised classification of Landsat images with a spatial resolution of 30 m for the years 1990, 2000, 2010, and 2023. This classification was validated using field data. Subsequently, landscape metrics such as class area, patch number, Shannon diversity index, disturbance index, urban expansion intensity index, largest patch index, and mean Euclidean distance were calculated for each city and each date. The results reveal substantial landscape transformations in the border cities between 1990 and 2023. These changes are primarily driven by rapid urban expansion, particularly pronounced in Kasumbalesa. Between 1990 and 2023, forest cover declined from 70% to less than 15% in Kipushi, from 80% to 10% in Kasumbalesa, from 90% to 30% in Mokambo, and from 80% to 15% in Sakania. This forest cover loss is accompanied by an increase in landscape element diversity, as indicated by the Shannon diversity index, except in Kipushi, suggesting a transition towards more heterogeneous landscapes. In these border cities, landscape dynamics are also characterized by the expansion of agriculture and savannas, highlighted by an increase in the disturbance index. Analysis of spatial pattern changes shows that built-up areas, agriculture, and savannas exhibit trends of patch creation or aggregation, whereas forests are undergoing processes of dissection and patch attrition. Congolese cities bordering Zambia are undergoing substantial spatial changes propelled by intricate interactions between economic, demographic, and infrastructural factors. Our results underscore the need for sustainable development strategies to address urban sprawl through smart growth policies and mixed-use developments, mitigate deforestation via stricter land use regulations and reforestation projects, and enhance cross-border cooperation through joint environmental management and collaborative research initiatives.

Pengaruh Implementasi Akuntansi Lingkungan terhadap Kinerja Perusahaan: Systematic Literature Review

Environmental accounting, also known as “Green Accounting” or “Evironmental Accounting”, refers to the process by which businesses or companies incorporate environmental costs into their accounting procedures. Environmental costs are the result of actions that have an impact on the quality of the environment, whether financially or not. The aim of this research is to look at the function, application and impact of environmental accounting on environmental and business sustainability. This research method was carried out using a Systematic Literature Review (SLR). This approach is used to examine and review all research. A total of 52 articles were analyzed in this research. Research Results Environmental accounting has a positive impact on a number of factors related to the sustainability of a business entity, especially company performance through the use of social responsibility as a mediator. Research on environmental accounting Even though Indonesia is a strong country, it still needs improvement because there is not much research there and the topics discussed are limited. The results of this research have consequences for environmental management initiatives and actions that are based on green innovation or environmentally friendly principles and can develop further.

Indigenous Strategies for Managing Bush Encroachment in Rural Areas of South Africa

The integration of indigenous knowledge systems into the discussion of bush encroachment management is of paramount importance. Indigenous knowledge and formal monitoring may be mutually beneficial, and using both approaches can improve natural resource management. Savannah rangeland landscapes hold deep cultural and spiritual significance for indigenous communities, and their perceptions can provide valuable insights into creating more effective, community-driven conservation initiatives. This study was aimed at filling the existing knowledge and research gap on bush encroachment control by focusing on the integration of indigenous knowledge systems. To achieve this, the current research included three distinct non-probability sampling strategies: (1) Purposive, (2) Snowball, (3) Convenience sampling methods. The results showed that 90.3% of the participants indicated that the main encroaching species of concern was sickle bush (Dichrostachys cinerea) and it is therefore perceived as a problem in the rangeland. The majority of farmer respondents indicated that they cut the encroacher plant down, uproot all root systems, then burn the remaining roots. This is reported to be a more effective way of managing sickle bush as an encroacher plant. Both genders generally believe in the efficacy of these systems, with variations in levels of agreement. However, a gender disparity emerges in opinions on incorporating communal-based approaches, emphasizing the need to consider gender perspectives in environmental management initiatives. Therefore, considering this, the study concludes that a holistic approach, integrating both formal and informal knowledge systems, may be crucial for sustainable and effective management strategies. Given that, recognizing the diversity of perspectives within the community, particularly regarding gender differences, is essential for developing inclusive and community-driven environmental management initiatives.

Вариация оценок готовности платить в зависимости от величины снижения риска смерти от загрязнения воздуха

The present study endeavors to elucidate the variability in estimates of willingness-to-pay (WTP) concerning the mitigation of mortality risk attributable to air pollution, contingent upon the extent of the corresponding risk reduction. Through the lens of air pollution control projects, the research seeks to discern fluctuations in WTP estimates, thereby shedding light on the intricacies of decision-making processes surrounding environmental management initiatives. The salience of this inquiry stems from the escalating prevalence of methodologies employing willingness-to-pay assessments as a yardstick for evaluating the value of human life across diverse spheres of societal activity, thereby informing policy deliberations by regulatory authorities. Central to the research quandary is the recognition that alterations in the magnitude of risk reduction can engender disproportional shifts in WTP values, holding all other variables constant. This phenomenon engenders a profound reliance on the methodological framework employed, thereby exerting a substantial influence on the resultant cost-of-living appraisals. Employing the contingent valuation method grounded in stated preferences within a double dichotomous choice framework, empirical findings reveal that WTP for reducing mortality risk from air pollution escalates by 43.8 %, ascending from 11 713 to 16 839 rubles, concomitant with a twofold increase in the reduction rate, from 2.5 to 5.0 per 10,000 inhabitants. This equates to a reduction in mortality rates from 100.0 to 97.5 and 100.0 to 95.0 per 10,000 inhabitants, respectively, all else being equal. The implications drawn from these conclusions are pivotal in guiding the formulation, execution, and interpretation of research endeavors pertaining to cost-of-living assessments across diverse contexts. Furthermore, they furnish critical insights for substantiating policy decisions within regulatory bodies, thereby enhancing the efficacy and integrity of environmental management initiatives.

Assessing pollution degree and human health risks from hazardous element distribution in soils near gold mines in a Colombian Andean region: Correlation with phytotoxicity biomarkers

The assessment of human health risk due to the presence of hazardous elements in the environment is now necessary for environmental management and legislative initiatives. This study aims to determine the contamination by As, Cd, Pb, and Cr in soils near gold mines in three municipalities located in the Andean region of Colombia. One of the main objectives of the study is to explore possible correlations between the Lifetime Cancer Risk (LCR) and phytotoxicity biomarkers using a simple and rapid-response plant model, radish (Raphanus sativus L.). In the municipality of Yalí, Puerto Berrío, and Buriticá, the hazardous elements concentrations ranged from 8.1 to 35.5, 1.7 to 892, and 5.8 to 49.8 for As, 0.1 to 4.6, 0.1 to 65.2, and 0.5 to 18.2 for Cd, 18.5 to 201.3, 13.0 to 1908, and 189 to 2345 for Pb, and 5.4 to 118.4, 65.4 to 301, and 5.4 to 102.3 for Cr, respectively. The results showed that the biomarkers intracellular H2O2 concentration, antioxidant activity, and radicle elongation exhibited significant (P < 0.05) variations associated with the concentration of hazardous elements in the soils. Significant correlations (P < 0.05, r > 0.58) were found between the biomarkers and the LCR for Cd, Pb, and Cr, but not for As. The results using biomarkers reveal that soil pH and organic matter content are important variables that control the bioavailability of these elements in the soil. The use of indicators like LCR alone has limitations and should be accompanied by the use of biomarkers that allow for a better understanding of the biological system's response to exposure to potentially toxic elements. The results obtained show the urgent need to implement public policies to minimize exposure to hazardous substances in areas near gold mining projects.

Comprehensive Analysis of Landform and Land Use/ Land Cover Mapping of Waghora Watershed Using Sentinal-2B and SRTM-DEM Data

This paper aims to integrate the use of high spectral resolution a remote sensing data of Sentinel-2B imagery along with the Digital Elevation Model (DEM) derived from the SRTM stereo data to delineate the landforms and analyze the land use and land cover in Waghora watershed, Sausar tehsil, Chhindwara district, situated on basaltic terrain in northern Deccan plateau. A 30 m resolution DEM of the study area was generated, capturing terrain parameters like elevation, slope, aspect, hillshade, and drainage. Sentinel-2B (10 m) images from two seasons were collected FCC (false colour composite) and were prepared by ARCGIS software. combination of Sentinel-2B imagery, SRTM-DEM data, and ground truth verifications to delineate eight major landforms in the studied area. Slope information, extracted from high-resolution DEMs, reveals 4 distinct slope classes. The landforms, including Plateau, Escarpment, Foot Slope, Upper Pediment, Lower Pediment, Valley, Interfluve, and Mound, are characterized based on visual interpretation and geological context. Each landform exhibits unique features, elevation ranges, and dominant land use/cover types, such as single crop cultivation, forest, or degraded land. This detailed terrain analysis aids in land-use planning and environmental management initiatives. The land use/land cover analysis utilizes Sentinel-2B data to identify five classes: degraded forest, double crop, single crop, orchard, and land with and without scrubs. Dense forest dominates 24.2% of the watershed, while double crop and single crop lands cover 36.7% and 24.2% respectively. Orchards occupy a minimal 0.8% of the area, and wastelands account for 5.7%. The relationship between landforms, slope, and land use/cover reveals dominant forestation on steep escarpments, while valleys and interfluves support double cropping due to gentle slopes and depositional processesThe study elucidated connections to examine diverse biophysical phenomena. It highlights the effectiveness of employing SRTM-DEM and Sentinel-2B imagery for analyzing geomorphic characteristics and mapping land use/land cover, offering significant perspectives for land management and planning approaches.

The influence of digital platform on the implementation of corporate social responsibility: from the perspective of environmental science development to explore its potential role in public health.

This paper aims to explore the intersection of corporate social responsibility (CSR) and public health within the context of digital platforms. Specifically, the paper explores the impact of digital platforms on the sustainable development practices of enterprises, seeking to comprehend how these platforms influence the implementation of environmental protection policies, resource management, and social responsibility initiatives. To assess the impact of digital platforms on corporate environmental behavior, we conducted a questionnaire survey targeting employees in private enterprises. This survey aimed to evaluate the relationship between the adoption of digital platforms and the implementation of environmental protection policies and practices. Analysis of the survey responses revealed a significant positive correlation between the use of digital platforms and the environmental protection behavior of enterprises (), Moreover, the presence of innovative environmental protection technologies on these platforms was found to positively influence the enforcement of environmental policies, with a calculated impact ratio of (). An intermediary analysis highlighted that environmental innovation technology plays a mediating role in this process. Additionally, adjustment analysis showed that enterprises of various sizes and industries respond differently to digital platforms, indicating the need for tailored environmental policies. These findings underscore the pivotal role of digital platforms in enhancing CSR efforts and public health by fostering improved environmental practices among corporations. The mediating effect of environmental innovation technologies suggests that digital platforms not only facilitate direct environmental actions but also enhance the efficiency and effectiveness of such initiatives through technological advances. The variability in response by different enterprises points to the importance of customizable strategies in policy formulation. By offering empirical evidence of digital platforms' potential to advance CSR and public health through environmental initiatives, this paper contributes to the ongoing dialogue on sustainable development goals. It provides practical insights for enterprises and policy implications for governments striving to craft more effective environmental policies and strategies.

Assessing Environmental Performance Through Environmental Management Initiatives, Green Extrinsic and Intrinsic Motivation, and Resource Commitment in Malaysian Hotels

ABSTRACT The level of dedication that an organization has toward the preservation of the natural environment is reflected in its environmental performance. This study evaluates the role of green extrinsic and intrinsic motivation and resource commitment on Malaysian hotel employees’ environmental performance. It also examines the mediating roles of green extrinsic and intrinsic motivation and resource commitment in the relationship between green management initiatives and hotel environmental performance. Data was collected from the Four- and five-star hotel employees and tested the models and hypotheses of this study by employing partial least squares-structural equation modeling. Green extrinsic and intrinsic motivation significantly influence environmental performance. Moreover, management’s environmental initiative positively influences green extrinsic and intrinsic motivation. The self-determination theory and resource-based view theory firmly support this research.

Finding common ground: Understanding and engaging with science mistrust in the Great barrier reef region.

At a time when ambitious environmental management initiatives are required to protect and restore aquatic ecosystems, public trust in the science that underpins environmental policy and decision-making is waning. This decline in public trust coincides with a rise in misinformation, and threatens to undermine public support for, and participation in, environmental protection. Our study investigates the prevalence and predictors of mistrust in science associated with the protection and management of the Great Barrier Reef (GBR) and its catchments. Using survey data from 1,877 residents of the GBR region, we identify environmental values, perceptions, and attitudes that are associated with science mistrust. Our results include a typology of GBR science trust and scepticism. Science-sceptical respondents, representing 31% of our sample, were likely to perceive waterway management decisions as being unfair, felt less responsible, and were less motivated to contribute to improving waterway health than those with greater trust in science. Science-sceptical respondents also had differing perceptions of some threats to waterways, in particular climate change. However, similarities and 'common ground' between respondents with varying levels of trust in science included a shared recognition of the importance of waterways' ecosystem services, and a shared perception of the relative health and problems within their regions' waterways. Our findings can help to break down assumptions about science-sceptical groups in the GBR region and elsewhere. We offer recommendations to guide more constructive engagement that seeks to restore trust and build consensus on mutual goals and pathways to protect vital ecosystem functions and services.

Personality Traits and Charismatic Leader: An Innovative Perspective on Leadership

This paper explores the relationship between inherent personality traits and the emergence of charismatic leadership qualities. Drawing from established psychological models, such as the Five Factor Model, we identify key personality traits most associated with charismatic leaders, including extraversion, openness to experience, and emotional intelligence. Using both historical analysis and contemporary case studies, we demonstrate how these traits often manifest in leaders recognized for their charisma. However, we also discuss the role of environmental factors and personal experiences in shaping and amplifying these traits. Furthermore, the potential pitfalls of over-relying on charisma, to the detriment of other leadership qualities, are highlighted. Overall, the research suggests that certain personality traits, such as extraversion and conscientiousness, are associated with charismatic leadership behavior. These traits contribute to the ability of leaders to influence and mobilize others, create a positive group dynamic, and promote environmental management initiatives. Understanding the relationship between personality traits and charismatic leadership can provide valuable insights for organizations in selecting and developing effective leaders. The paper concludes with recommendations for organizations on how to foster and recognize leadership potential by considering a balance of inherent traits, cultivated skills, and contextual understanding.

Stimulating environmental performance through green human resource practice: Does green transformational leadership matter?

Businesses are essential in nations’ economic development, green practice, and environmental performance, particularly in emerging countries. Such economic development needs environmental-friendly business practices to attain higher environmental performance goals of businesses. Nevertheless, a plethora of studies centered on the direct effects of environmental management initiatives (EMI) and green innovation practices (GIP) on environmental performance (EP). Still, the direct and indirect impacts of green human resource practices (GHRPs), green transformational leadership (GTL), and other constructs were ignored. This study analyzes the direct and indirect relationships of GHRPs, EMI, and GIP toward improving EP. In addition, the study examines the moderation role of GTL between GHRPs and EP under the theoretical framework of ability, motivation, and opportunity (AMO) theory. Empirically, this present study utilized a survey method to assemble data from 535 business entities in South Africa. The analysis showed that GHRPs directly and significantly influenced EMI, GIP, and EP. EMI and GIP also directly and significantly influenced EP. Finally, GTL significantly affects the interplay between GHRPs and EP. This study’s results provide a managerial and theoretical contribution to how GHRPs, EMI, GIP, and GTL facilitate a corporate EP. The present paper enriches the theory of AMO by incorporating new variables such as GHRPs, GTL, EMI, and GIP, towards enhancing EP. Also, this study provides fresh insight into the impact of the mediation role of EMI between GHRPs and EP, mediation role of GIP between GHRPs and EP, thereby contributing to extant literature. The study emphasizes the need for businesses and managers to apply green human resource policies to make employees more committed to environmental sustainability, promoting EP in the long term.

THE CURRENT STATE OF ENVIRONMENTAL MANAGEMENT OF ENTERPRISES IN THE AGRICULTURAL SECTOR (ON THE EXAMPLE OF “KERNEL-TRADE” LLC)

The article is devoted to the analysis of the current state of environmental management of agricultural enterprises (on the example of “Kernel-Trade” LLC). The article analyzes the indicators of development of certain types of economic activity in order to determine the place of agriculture in the economy of Ukraine. Using statistical data, the author assesses the impact of agricultural enterprises on the environment (the use of mineral and organic fertilizers, liming of soils, soil gypsumization, soil treatment with pesticides, etc.) The author assesses the volume of investments and current expenditures in the field of environmental protection of agricultural enterprises in Ukraine. “Kernel-Trade” LLC is considered as one of the strongest players in the agro-industrial market, and its main financial indicators (profit, EBIDTA, social payments, gross income, net debt), its contribution to the achievement of the UN Sustainable Development Goals (namely, contribution to Sustainable Development Goal 6 – clean water and satisfactory sanitation 7 – affordable and clean energy, 12 – responsible production and consumption, 15 – protection and restoration of terrestrial ecosystems, and 17 – partnership for sustainable development) and the environmental management cycle in the field of environmental protection. Based on the analysis of statistical information from the company’s annual report, the volume of CO2 emissions by different types of activities was compared. Using the SWOT analysis, the features of the current state of environmental management of the enterprise are summarized. The scientific novelty and theoretical significance of the article’s results lies in the development of theoretical and methodical provisions for improving the management of enterprise competitiveness through the implementation of environmental management initiatives. Today, the topic of ecology is extremely relevant, since obtaining EU membership requires not only economic and political changes, but also, above all, changes in the sustainable development of the country as a whole. It is through the prism of agriculture that the authors of the article emphasized the need for changes in the approach to enterprise management on the basis of environmental sustainability in Ukraine.

Air Quality Forecasting Using Deep Learning Framework

Abstract: Air quality is a crucial environmental factor that affects human health and well-being. Accurate forecasting of air quality can aid in mitigating the adverse effects of air pollution. In this research paper, we propose a deep learning-based approach for air quality forecasting. We utilize Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BILSTM) models to capture spatial and temporal dependencies in air quality data. The existing system is analyzed, and its limitations are identified. Our proposed solution overcomes these limitations by incorporating deep learning techniques. Experimental results demonstrate the effectiveness of our approach in forecasting air quality, providing valuable insights for environmental management and public health initiatives.

The Role of Understanding, Trust, and Access in Public Engagement with Environmental Activities and Decision Making: A Qualitative Study with Water Quality Practitioners.

Advancing environmental health literacy in support of environmental management requires inclusive science communication, especially with environmental justice communities. In order to understand experiences of environmental practitioners in the realm of science communication, the Center for Oceans and Human Health and Climate Change Interactions at the University of South Carolina conducted two studies on science communication and research translation with the center's researchers and partners. This qualitative case study follows up with a select group of environmental practitioners on emergent themes from the initial work. It explores the specific topics of understanding, trust, and access and how those can become barriers or facilitators of public engagement with environmental activities and decision making. The authors conducted seven in-depth qualitative interviews with center partners whose work focuses on environmental water quality and impacts on human and environmental health. Key results indicate that the public may have limited understanding of scientific processes, establishing trust takes time, and access should be incorporated into the design of programs and activities to ensure broader reach. Findings from this research are relevant to other partner-engaged work and environmental management initiatives and provide insights on experiences, practices, and actions for equitable and effective stakeholder engagement and collaborative partnerships.

Linking hotel environmental management initiatives and sustainable hotel performance through employees’ eco-friendly behaviour and environmental strategies: a moderated-mediated model

PurposeThe purpose and current research objective is to determine sustainable hotel performance through hotel environmental management initiatives (HEMI) with the mediating influence of employee’s’ eco-friendly behaviour (EEB), and to determine the moderating role of environmental strategies (ES) in the relationship between HEMI and EEB.Design/methodology/approachA total of 95 five-star hotels were contacted, with data collected from only 30 of them. The study used only 433 questionnaires for the final analysis with SPSS 25.0 and SmartPLS 3.2.8.FindingsThe results revealed that HEMI is positively associated with sustainable hotel performance and with EEB. EEB is positively associated with sustainable hotel performance. ES significantly influence EEB, and significantly strengthen the relationship between HMEI and EEB. EEB significantly mediates the relationship between HEMI and sustainable hotel performance.Practical implicationsThe current research highlights a significant issue: how the management of the hotel industry uses HEMI, ES and EEB to improve sustainable performance. The study fills the gap in the literature and enables hotel management to concentrate on studying exogenous variables to increase sustainable performance.Originality/valueThe current research contributes to the body of knowledge by concentrating on factors that influence sustainable hotel performance. It examines HEMI influence on sustainable performance with moderating (ES) and mediating (EEB) effects, from the leans of natural resource-based view (RBV) theory.

Analysis of contingency factors and management control systems associated with sustainable management practices

Purpose: The objective of this study was to analyze how contingency factors and the use of management control systems are associated with sustainable management practices in organizations.&#x0D; Methodology: A field study (survey) was carried out through questionnaires and semi- structured interviews with managers linked to management control systems in two creative companies in the telecommunications sector. The sample has a non-probabilistic character and the data treated using the content analysis technique of Bardin (2011).&#x0D; Results: The findings shows that technology, organizational culture, suppliers and customers are contingency factors associated with sustainable management practices by the study organization. The research results indicate that the use of an interactive management control system is an essential tool. for the establishment of communication among managers and employees at operational levels of organizations, supporting the implementation of environmental management initiatives. Diagnostic control has been used to monitor goals and implement environmental management practices with a positive impact on organizational performance through indicators of cost reduction, profitability, customer satisfaction and increased sales.&#x0D; Contributions of the study: The study provided dissemination in the literature of studies on management controls from the perspective of the Contingency Theory, above all, contributing to organizations to create environmental awareness allied to the improvement of their performance with management control practices. In addition to it, the research is relevant for organizations to develop actions to reorganize their processes and meet society's pressures for sustainable practices, increasing competitiveness and improving organizational performance.

Modelling the transport of sloughed cladophora in the nearshore zone of Lake Michigan

The invasion of dreissenid mussels has profoundly altered benthic physical environments and whole-lake nutrient cycling in the Great Lakes over the past several decades. The resurgence of the filamentous green alga Cladophora appears to be one of the consequences of this invasion. Sloughed Cladophora deteriorates water quality, fouls recreational beaches, and may contribute to outbreaks of avian botulism, which have been especially severe in the Sleeping Bear Dunes National Lakeshore (SLBE) region of Lake Michigan. To help determine the fate of sloughed Cladophora, a Lagrangian particle trajectory model was developed to track the transport of Cladophora fragments in the nearshore zone based upon a physical transport-mixing model. The model results demonstrate that the primary deposition sites of sloughed Cladophora within the SLBE region are mid-depth sites not far away from their initial growth area. Because of high algae production in the nearshore waters and limited exchange between the inner and outer bay, the shoreline beach of Platte Bay appears to be particularly vulnerable to fouling, with overall three times as many accumulated particles as those along the Sleeping Bear Bay and Good Harbor Bay. The results of this model may be used to guide regional environmental management initiatives and provide insights into the mechanisms responsible for avian botulism outbreaks. This model may also inform the development of whole-lake ecosystem models that account for nearshore-offshore interactions.

Green effectual orientations to shape environmental performance through green innovation and environmental management initiatives under the influence of CSR commitment.

This study elaborates the concept of green effectuation orientations (GEOs) to enhance the environmental performance of entrepreneurial SMEs based in the Jiangsu province of China. For this purpose, we collected the data from 328 employees of entrepreneurial SMEs via a survey and analyzed it through SEM. We evaluated the GEO concept on mindset and action-based views to operationalize the construct with all subdimensions fully. Our study illustrates some unexplored domains of entrepreneurship research and comes up with the findings that (GEOs) are positively correlated with environmental performance (EP), green innovation performance (GIP), and environmental management initiatives (EMI). Additionally, the findings of this research also unveil that EMI and GIP pave the way for EP, as both mediate the relationship between GEO and EP. Last but not the least, this research study also explained the effective mechanism through which CSR commitment as a moderator can affect the relationship between GEO and EP. The findings of this study expand the spheres of effectuation theory and come up with several exciting theoretical and managerial implications. Besides, it is the first of its kind to demonstrate that GEO could enhance GIP, EMI, and EP.

When Words and Actions Don’t Match: How Greenwashing a Firm’s Supply Chain Practices Can Backfire

We study how individual-level consumer evaluations and firms' value are negatively impacted when firms' claims about their environmental supply chain management (ESCM) initiatives are revealed to be misleading. Drawing on signaling theory, we propose that consumers interpret firms' disclosure of ESCM initiatives as a signal of the company's commitment toward pro-social behaviors and that these signals positively influence consumers' purchase intentions. When, however, it becomes evident that there is a lack of signal fit, we propose that consequently there will be a negative effect on evaluations of the firm. In a pretest, based on Information Manipulation Theory we use a vignette-based experiment to evaluate consumer reactions to a comprehensive set of possible means of greenwashing environmental supply chain initiatives, We find that individual-level consumers are most sensitive to