Search Results (4,677)

This research explores the relationship between Product Lifecycle Management (PLM) and Industry 4.0 (I4.0) technologies with Integrated Information Management Systems (IIMS) and the impact on the Market Performance (MP) of organisations. A survey was conducted with 106 company managers with experience ranging from the strategic to the operational level of IIMS practices. The data were analysed quantitatively through Exploratory Factorial Analysis (EFA), Confirmatory Factorial Analysis (CFA), and Structural Equation Modelling (SEM). The results indicated that integrating IIMS, PLM, and I4.0 is crucial to improving the effectiveness of organisational processes. However, its direct impacts on MP are more moderate. This shows the need for companies to fully integrate IIMS with PLM and I4.0 technologies, taking advantage of the synergies observed between IoT, Automation, and AI to improve operational efficiency and information security. As for practical and sustainability implications, the research discusses the importance of data optimisation and process management, mediating impacts and investment strategies, training and organisational culture, strategic planning, and the efficient and responsible use of resources. The originality of this work is highlighted by its approach, considering the research context broadly and uniquely. SEM made this approach possible, where the structural model is evaluated entirely, resulting in how the constructs behave based on how they are modelled. In addition, the research contributes to expanding theoretical knowledge and studying the practical applications of the results in business policies. Full article

Due to the rapid development of China’s economy, the current situation of fishing villages in the southeastern coastal areas is spatial disorder caused by changes in population composition and industrial transformation. This study analyses the differences between the clan structure and the multi-stakeholder engagement model in traditional fishing villages. The main aim is to illustrate contemporary issues that fishing villages’ spaces need to deal with in governance and decision making. With the development of information technology, social media has become an important platform through which stakeholders can communicate and make decisions. The aims of this paper were as follows: (1) Identify the stakeholders involved in the governance of fishing villages; (2) explore how stakeholders participate in the planning and governance of fishing villages through social media; (3) examine the mechanisms of social media and its impact on the spatial planning of fishing villages. Through qualitative research methods such as field surveys and in-depth interviews, the following results were obtained: (1) Social media subverts the traditional fishing village governance model, and the scope of the governance subject is expanded; (2) spatial changes in fishing villages are affected by the joint influence of people, the environment, and the economy, and a social network acts as an intermediary to compensate for the deficiencies that existed in previous fishing village governance processes. Full article

This article explores the challenges surrounding the Scottish media graduate landscape after the COVID-19 pandemic. Contributing factors that impact Scotland-based students and educators include a shift in the jobs market, altering pedagogies during and post-pandemic, and social drivers including fewer students choosing media pathways of study due to the cost-of-living crisis. This study draws on insights from 40 students at five Scottish universities, all of whom graduated in the summer of 2023. The research presents a window into the mindset and expectations of this post-pandemic graduating class while drawing on current and relevant literature. In addition, the paper includes reaction from industry and academic experts in Scotland and questions what can be done to address trends surrounding the stability and sustainability of journalism education. The experts include senior broadcasters, an established media educator who has worked across further education and higher education in Scotland while also being a national news editor, and one of Scotland’s most experienced journalism educators who is the chair of the World Journalism Education Council. This work is predominantly qualitative, drawing on a mixed research approach of expert interviewing and surveys while providing recommendations for journalism educators. Full article

The global school uniform industry, primarily driven by linear production models, significantly contributes to textile waste and environmental degradation. In Australia, over 2000 tons of school uniforms are discarded annually, highlighting the urgent need for sustainable alternatives. This study explores the integration of Circular Economy (CE) principles into school uniform systems through a case study of a private school in Victoria. Using a thematic approach, the research involved a parent survey with 106 participants and a focus group with 6 parents. The study identified financial, logistical, and socio-cultural factors influencing uniform consumption and disposal behaviors. Affordability emerged as the primary motivator for adopting second-hand uniforms (86%). However, barriers such as limited sizing, hygiene concerns, quality, and social stigma hinder wider adoption. Parents also expressed dissatisfaction with the current uniform design, material breathability, and durability, particularly in warmer climates. Despite increased awareness of sustainability (61% cited environmental concerns), actionable engagement remains low due to a lack of transparency and infrastructure. The study proposes a replicable circular uniform framework based on stakeholder co-design, reverse logistics, and curriculum-based sustainability education. These findings offer practical implications for policymakers, educators, and manufacturers aiming to reduce textile waste and promote CE adoption within the education sector. Full article

As a crucial component of cultural heritage, industrial heritage possesses considerable cultural, historical, and economic significance. The key challenge for industrial heritage sites is to foster eco-conscious actions among visitors while boosting tourism spending. Based on the S-O-R theory, we constructed a relationship model between authenticity, place attachment and environmental responsibility behavior through structural equation modeling and tested it with the survey data of tourists in Maoming open-pit mine ecological park. Findings reveal that both the object-related authenticity and the existential authenticity of the experience enhance the sense of reliance and belonging to the place, with the former also directly promoting visitors’ eco-conscious actions. In contrast, experiential authenticity does not exert a direct effect on eco-conscious actions. The sense of place reliance and identity are found to be significantly and positively linked to eco-conscious behavior. Furthermore, place reliance and identity act as intermediaries in the relationship between object authenticity, experiential authenticity, and eco-conscious behavior, serving as a sequential mediating factor. The study suggests strategies such as augmenting financial support to preserve the authenticity of the site, prioritizing the enhancement of infrastructure and the creation of cultural offerings to elicit emotional responses, and reinforcing emotional bonds to encourage eco-conscious actions. Full article

Worker safety has been relatively overlooked in the rapidly growing aquaculture industry. To address this gap, industrial accident compensation insurance data—mainly from floating cage and seaweed farming—were analyzed to quantify accident types and frequencies, with a focus on human elements as root causes. Basic causes were selected based on IMO Resolution A/Res.884 and assessed through a worker awareness survey. Fault Tree Analysis (FTA), a Formal Safety Assessment technique, was applied to evaluate risks associated with these causes. The analysis identified organization at the farm site (23.3%), facility and equipment factors (22.8%), and people factors (21.4%) as the primary causes. Among secondary causes, personal negligence (13.2%), aging gear and poor maintenance (11.4%), and insufficient risk training (10.4%) were the most significant. Selective removal of these causes reduced the probability of human element-related accidents from 64.6% to 48.6%. While limited in scope to Korean data and self-reported surveys, the study demonstrates the value of combining quantitative data with worker perspectives. It provides foundational data for developing tailored safety strategies and institutional improvements—such as standardized procedures, multilingual education, and inclusive risk management—for sustainable safety in aquaculture. Full article

This paper investigates the application of open-source software and methods for forest LiDAR analysis, with a focus on enhancing forest inventory metrics in the radiata pine forests of South Australia’s Green Triangle region. A semi-systematic survey identified 22 relevant open-source tools, evaluated for their capabilities in inventory metric extraction and practicality for implementation in industrial workflows. Ground truth data from radiata pine forests across multiple development stages provided the basis for validating the tools’ precision, accuracy, and practicality. Results showed that stratified tool selection, optimized for each forest development stage, achieved high accuracy for inventory, achieving stem detection rates up to 99.1% and errors as low as 0.94 m for height and 1.18 cm for diameter at breast height (DBH) in specific cases. Additionally, we provide scripts to support future research, discuss the limitations of our approach, and propose solutions to address these gaps in future implementations. Our findings highlight the utility of open-source tools to optimize forest inventory workflows through stratified, modular approaches. Full article

Microplastics are found in Earth’s atmosphere, lithosphere, hydrosphere, pedosphere, and ecosphere. While there is a growing interest and need to solve this grand challenge in both the academic and policy realms, few have engaged with academics, policymakers, and community partners to co-identify the problem, co-design research, and co-produce knowledge in tackling this issue. Using a convergence research framework, we investigated the perception of microplastic pollution among different end users, delivered educational materials to K-12 teachers and practitioners, and identified key sampling points for assessing environmental microplastic concentrations in the Columbia River Basin, United States. Three community partner workshops identified regional issues and concerns associated with microplastic pollution and explored potential policy intervention strategies. The stakeholder survey, co-designed with community partners, identified varying perceptions around microplastic pollution across educators, government employees, non-profit employees, and industry practitioners. Pre- and post-test results of teacher workshops show increases in participants’ knowledge after taking a four-week summer class with the knowledge being translated to their students. Community partners also helped develop a unique passive sampling plan for atmospheric deposition of microplastics using synoptic moss samples and provided freshwater samples for microplastic quantification across the basin. Our study drew three major lessons for successfully conducting convergence environmental research—(1) communication and trust building, supported by the use of key-informants to expand networks; (2) co-creation through collaboration, where partners and students shaped research and education to enhance impact; and (3) change-making, as project insights were translated into policy discussions, community outreach, and classrooms. Full article

Significant weather-induced delays often plague construction projects in India’s extremely cold regions, yet comprehensive studies addressing this issue remain scarce. This study aims to fill this gap by identifying key delay factors and proposing mitigation strategies for the construction industry. Through an extensive literature review, 42 delay factors were identified and categorized into four groups. A survey of 83 experts from cold regions was conducted to evaluate these factors’ significance to contractors and subcontractors. Employing exploratory factor analysis (EFA), structural equation modeling (SEM), and artificial neural networks (ANN), the study analyzed the relationships between these factors and ranked their impact. The findings reveal that snowfall, rainfall, and low temperatures are the most significant contributors to delays, with snowfall being the most influential (significance: 1.000), followed by rainfall (0.890) and low temperatures (0.790). This research establishes a risk hierarchy and develops a predictive model to facilitate the proactive scheduling of challenging tasks during favorable seasons. This study advances the understanding of weather-induced delays in India’s cold regions and offers valuable insights for project management in such climates. However, it underscores the importance of clearly articulating its novel contributions to differentiate it within the existing literature on weather-related construction delays. Full article

The rural landscape serves as a window to showcase regional culture and can drive the development of the rural cultural tourism industry. However, driven by the rural revitalization strategy, the construction of rural landscapes in the Yangtze River Delta region faces the challenges of homogeneity and lack of authenticity. A regional evaluation of the rural landscape and strategic suggestions are key to solving this problem. Therefore, this study selected three representative villages in the Yangtze River Delta region and established a regional evaluation model of the rural landscape in the Yangtze River Delta from the perspective of the ecological–production–living concept, utilizing the analytic hierarchy process, a tourist questionnaire survey, IPA, and Munsell color analysis. The results show that (1) the core indicator of the rural landscape regionality is the life landscape, followed by the production landscape, and finally, the ecological landscape; (2) the overall satisfaction of the rural landscape is high, and the satisfaction of the water network landscape is significantly higher than other indicators; (3) the results of IPA show that what needs to be maintained are traditional dwellings and historical relics, and what needs to be improved are sign design and rural public art design; (4) Munsell color analysis shows that the characteristics the of rural landscape in the Yangtze River Delta region are diverse and inclusive. This study is of great significance for maintaining the characteristics of the rural landscape in the Yangtze River Delta region and promoting the protection of rural landscape style under different regional conditions. Full article

Despite the rapid improvement in the availability and resolution of real-time electricity data, budget development processes in mining have remained relatively unchanged. Currently, there is no standard for the evaluation of mine electricity cost budgets. This study aims to determine whether forecasting processes used by mines produce budgets of sufficient quality and resolution to be used as a tool for daily energy- and cost management. A literature review was conducted to determine a set of best practices for electricity budgeting on mines. These findings were used to develop a survey to evaluate the current state of budgeting processes on South African mines. Surveys were conducted at 41 mine business units. Survey results were processed and analyzed and found that there are significant shortcomings in complying with the identified best practices. The majority of mines produced forecasts in lower resolutions than actual available data, thereby reducing their usefulness as energy management tools. The methods currently employed by mining sites are not scalable and are vulnerable to human error. Only 7% of participating business units’ budgets passed the identified best practices. Adherence to best practices, identified in this paper, will assist mines in improving electricity cost forecasts for more proactive- and sustainable energy management. This will also assist the industry in aligning with the UN Sustainable Development Goals (SDGs) of Affordable and Clean Energy (SDG 7), Industry, Innovation, and Infrastructure (SDG 9), and Responsible Consumption and Production (SDG 12). Full article

Printed electronics employ established printing methods to create low-cost, mechanically flexible devices including batteries, supercapacitors, sensors, antennas and RFID tags on plastic, paper and textile substrates. This review focuses on the specific contribution of screen printing to that landscape, examining how ink viscosity, mesh selection and squeegee dynamics govern film uniformity, pattern resolution and ultimately device performance. Recent progress in advanced ink systems is surveyed, highlighting carbon allotropes (graphene, carbon nano-onions, carbon nanotubes, graphite), silver and copper nanostructures, MXene and functional oxides that collectively enhance mechanical robustness, electrical conductivity and radio-frequency behavior. Parallel improvements in substrate engineering such as polyimide, PET, TPU, cellulose and elastomers demonstrate the technique’s capacity to accommodate complex geometries for wearable, medical and industrial applications while supporting environmentally responsible material choices such as water-borne binders and bio-based solvents. By mapping two decades of developments across energy-storage layers and functional electronics, the article identifies the key process elements, recurring challenges and emerging sustainable practices that will guide future optimization of screen-printing materials and protocols for high-performance, customizable and eco-friendly flexible devices. Full article

How to coordinate the relationship between nature reserves and surrounding communities to achieve a win–win situation for protection and development has become an urgent issue that governments around the world need to address. The concept of community co-management emerged in this context, aiming to promote cooperation and interaction between protected areas and surrounding communities, achieve sustainable use of natural resources, and promote the healthy development of the community economy. This study conducted empirical analysis using the Xishuangbanna National Nature Reserve and surrounding communities in China as a case study. This study aims to reveal the key factors affecting the perception of the households in the surrounding communities of the national nature reserve through an in-depth analysis of their perceptions, attitudes, and actual effects on the innovative management model of community co-management. At the same time, it provides empirical evidence and theoretical support for the construction of a more reasonable, efficient, and win–win nature reserve management model. Based on field research and interviews, combined with a questionnaire survey of stakeholders, this study utilized the Q method to conduct a comprehensive analysis of household perceptions under community co-management. The research results indicate that community co-management is an effective path to promote the coordinated development of the local economy, society, and ecology. Specifically, this model not only significantly promotes employment and entrepreneurship among community residents but also achieves economic self-sufficiency and steady growth by cultivating characteristic industries and building distinctive brands. Further analysis reveals that improving residents’ well-being is the core value of community co-management. Meanwhile, system reform is seen as the key to promoting the deepening development of community co-management. This study not only helps to enhance households’ understanding and participation in ecological protection and promotes the deep integration of ecological protection and community development but also provides valuable experience and inspiration for the management of nature reserves in other regions around the world. Full article

Currently, studies in green infrastructure have developed different wetland park value evaluation systems, and various criteria to measure urban economic development have been proposed. However, these criteria are not widely adopted, and there is a lack of investigation on the relationship between wetland parks and urban economic development. The existing literature indicates that the specific impact factors of wetland parks on urban economic development have not been further explored. Therefore, this study builds on previous theoretical research to develop a conceptual model with 12 hypotheses, followed by a questionnaire survey method to obtain data. The questions have been developed for each of five variables in the conceptual model to validate the research hypotheses that have been contextually modified according to the uniqueness of different wetland parks based on previous classic scales, namely, ecological value, recreational value, resource attraction, a diversified industrial structure, and economic expectation. This study aims to investigate how wetland parks promote urban economic health through ecological value and recreational value, particularly their indirect role in fostering diversified industrial structure, resource attraction, and economic expectations. Structural equation modeling with the Statistical Package for the Social Sciences (SPSS) 26.0 and the Analysis of Moment Structures (AMOS) 24.0 has been used for validating the hypotheses. The findings in this paper highlight that recreational value has the most significant impact on a diversified industrial structure that, in turn, has a highly significant positive impact on both resource attraction and economic expectations. In addition, the influence of ecological value on urban economic outcomes largely depends on recreational value as a mediator. Two significant impact pathways have been further identified: (1) from ecological value, recreational value, and a diversified industrial structure to resource attraction; and (2) from ecological value, recreational value, and a diversified industrial structure to economic expectations. Further, the managers and developers of wetland parks need to fully preserve the ecological value of the parks and optimize their recreational value before embarking on new development projects. The theoretical contribution of this paper lies in uncovering the direct and indirect effects of ecological value and recreational value on diversified industrial structure and resource attraction, emphasizing the crucial role of recreational value in driving economic diversification. The practical implications are reflected in providing concrete pathways and strategies for urban planners and policymakers to optimize the ecological and recreational value of wetland parks, thereby promoting urban economic development. Full article

The changing climate poses a significant challenge to the dairy industry, particularly in Punjab’s Faisalabad region, a central milk production hub. Rising temperatures and humidity exacerbate heat stress, endangering rural livelihoods. This study quantifies the impacts of these climatic stressors on milk yield, evaluates smallholder farmers’ perceptions of climate risks, and projects future losses to guide adaptive policymaking. By integrating Likert-scale surveys of 450 dairy farmers with advanced panel regression models (including fixed and random effects) and a dynamic panel generalized method of moments (GMM) approach for forecasting, we analyzed eight years of milk production and climate data (2017–2024) under IPCC scenarios (+2 °C, +10% humidity). The results revealed significant declines: a 1 °C temperature increase reduced milk yields by 1.72 L per month (p < 0.01), while a 1% rise in humidity decreased output by 0.59 L per month (p < 0.01). Compounded losses under combined stressors reached 2.25 L per month, with hotter regions (Faisalabad’s semi-arid zone) experiencing the steepest declines. Farmers’ perceptions are closely aligned with empirical trends, identifying heat humidity interactions as the most critical risks. To mitigate these losses, adaptive strategies such as heat-resistant cattle breeds, humidity-responsive cooling systems, and targeted financial support for smallholders are critical. This study connects farmers’ insights with econometric modeling to provide practical strategies to enhance resilience in Punjab’s dairy sector. Full article