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Collaboration is challenging in highway building projects since there are always a number of stakeholders involved, each with different responsibilities, backgrounds, objectives, and competing interests. The basis for addressing collaboration problems in building projects is knowledge. Knowledge management (KM) can benefit greatly from the distinctive characteristics of BIM (building information modeling). Therefore, the purpose of this study is to investigate knowledge collaboration in highway construction projects that is enabled by BIM. It first explores the motivations behind and difficulties with using BIM for knowledge-based collaboration. Next, it looks for possible ways to overcome those difficulties. It employs a large highway project as a study case in China. It uses in-depth interviews with a range of contractors working on this project to comprehend the difficulties they face in working together and investigate ways that BIM-supported KM can help stakeholders collaborate more effectively. Ultimately, it creates a conceptual model for knowledge-driven collaborative management within the BIM environment, offering both a theoretical framework and useful direction for knowledge-based collaboration amongst various stakeholders. The study explores the advantages of BIM characteristics in knowledge collaboration, which provides empirical evidence for the transformation from traditional IT-based knowledge collaboration to BIM-based knowledge collaboration in large and complex highway projects. Full article

In this work, conceptual approximations of the Boussinesq equation were introduced and analyzed, resulting into a very accurate and well-applicable model for horizontal unconfined aquifers during the pure drainage phase, without any recharge and zero-inflow conditions. The model was constructed by employing a variety of methods that included wave solution, variable separation, and series expansion, and its analysis and performance against the Boussinesq equation, at early and later times, providing fruitful insights enlightening the main mechanisms and physical characteristics of the drainage phase. The modeled non-linear forms were finally linearized, concluding with explicit analytical expressions that accurately incorporated most of the basic characteristics regarding the evolution of the water table and the outflow from the exact Boussinesq equation under different initial conditions. The endeavors of this work can be utilized for theoretical and modeling purposes related to this problem. Full article

The urban knowledge network in China has undergone in-depth development in recent decades, intimately connecting the position characteristics of cities in the knowledge network to their knowledge production performance. While existing research focuses predominantly on the unidirectional relationship between network position and the knowledge production of cities, there is a notable dearth of studies exploring the bidirectional relationship between the two constructs. By proposing a conceptual framework, this paper empirically examines the interplay between network position and knowledge production of cities through simultaneous equation models. The results revealed a mutually reinforcing relationship between network position and knowledge production, and this relationship exhibits heterogeneous characteristics and spillover effects. Specifically, cities in the periphery block and the central-western region benefit more from the effect of network position on knowledge production, while cities in the core block and the eastern region benefit more from the effect of knowledge production on network position. Moreover, the interactive effect between network position and knowledge production of cities is significantly affected by the network position characteristics and knowledge production performance of their neighboring cities in geographically adjacent regions and relationally adjacent regions. These findings enhance the understanding of urban network externalities and the connotations of the knowledge production function. Full article

The significance of the interconnection between water and energy, known as the water–energy (WE) nexus, is highly regarded in scientific publications. This study used a narrative review method to analyze the existing WE nexus studies performed before 2024 in 26 European countries. The aim of this study is to provide a comprehensive analysis of the existing WE nexus to identify research gaps and to report a conceptual overview of energy consumption related to groundwater use phases, ranging from the tapping to distribution. This information is valuable as a guideline for any future estimates in this field. The results indicate that the WE nexus in 26 European countries comprises a variety of topics, including the water supply system, wastewater treatment, hydropower, desalination, and biofuel production. Most of the focus has been on fossil fuel production, while water supply and desalination were considered rarely. Italy and Portugal had the largest WE nexus. It is highlighted that there have been no studies on the WE nexus focusing on the groundwater supply system that consider the conceptual hydrological model or hydrodynamic processes. In this work, a view of these aspects was provided by taking into account different hydrogeological and hydraulic scenarios that may affect the amount of energy required for groundwater exploitation. Most scientific publications have focused on quantitative analysis. In the future, it will be necessary for WE nexus models to place a greater emphasis on governance and the implications of the WE nexus approach. Full article

Photovoice is a participatory action research (PAR) method that employes photographic language to explore individuals’ stories and living contexts. This study explores the representations of young participants, both immigrants and non-immigrants, concerning integration—defined within Berry’s (1997) framework as a bidirectional process of cultural and social adaptation between migrants and host communities—and the lack of integration within their neighborhood in Reggio Emilia, Italy. The participants included 12 young individuals (6 migrants and 6 locals) aged 19 to 29, two peer researchers, and one researcher. Over the course of two weekly three-hour meetings, participants captured and discussed photos depicting their perspectives on integration. The findings highlighted diverse conceptualizations of integration. Participants emphasized the reciprocal relationship between migrants and locals, illustrating how positive interactions with schools, workplaces, and public spaces facilitate integration. Additionally, successful migrants were seen as models of empowerment. Conversely, themes such as poverty, loneliness, discrimination, and the impact of war emerged as significant barriers to integration. This study underscores the dynamic and interactive nature of integration, as experienced by young people in multicultural settings. It highlights how Photovoice methodology can effectively capture nuanced perspectives on integration, foster mutual understanding, and facilitate intergroup relationships. The method fosters personal and community reflection, actively engaging its audience in critical discussions about integration. Full article

Rural communities can be conceptualized as spatial organisms interconnected by optimized resource utilization systems. Investigating the efficient utilization of rural resources and spatial construction methods grounded in resource metabolism is a pivotal step toward achieving the ecological transformation of rural spaces. This paper examined rural settlements in the Shandong Plain as a case study, exploring the relationships among three scales: village, neighborhoods, and courtyards. This analysis was based on elucidating the interaction mechanisms between “space and resource” and the integration of key resources and spatial elements. From the perspective of resource circulation and metabolism, this study aimed to elucidate the equilibrium of each resource element within three resource metabolism subsystems: the agricultural production system (core element), the ecological technology system (technological link), and the human life system (spatial carrier) in Shandong Plain’s villages, considering general climatic conditions. To achieve this, this research utilized the resource production volume, the utilization and transformation volume of resource metabolism technology facilities per unit area, and the average per capita resource consumption as fundamental measurement units. The concept of a rationing relationship is introduced to clarify resource allocation. Combining the aforementioned research on spatial resource metabolism in ecological villages in Shandong Province with the material flow analysis method, this study constructed a bottom–up spatial model of resource metabolism at three scales, courtyards, neighborhoods, and villages, under various resource metabolism scenarios. This study is anticipated to significantly contribute to the theoretical understanding of rural habitat environments, offering novel methods and perspectives for constructing ecological rural settlements. Full article

The article contains a description of the design solutions proposed by the authors for a hybrid wind turbine bearing, in which the sliding part takes over the load to the turbine shaft after reaching the shaft rotation speed, ensuring hydrodynamic lubrication of the plain bearing and relieving the rolling bearing. This allows for low starting resistance of the power plant and ensures quiet operation during use. Two conceptual solutions of a hybrid bearing were presented, differing in the shape of the plain bearing journal. A mechanism for automatic switching of the load between a rolling and a plain bearing was developed. A solid simulation model of this mechanism was built in the Autodesk Inventor—Dynamic Simulation software Inventor Professional 2023 environment, and its operation was simulated. The results confirmed the usefulness of using this design in shaft-bearing systems of wind turbines with a vertical axis of rotation. Based on the simulation, the speed at which the thrust roller bearing will be released was determined. Technical parameters of a plain bearing with a spherical journal shape were calculated. The height of the lubrication gap and the shaft rotational speed at which the bearing load capacity index reaches a critical value were determined. Full article

The shift in consumer dietary patterns from meat-based to plant-based food products has become a prominent trend worldwide. This shift is driven by various factors, including concerns about personal health and environmental awareness. Despite the global growth of the plant-based food industry, developing nations tend to be slow with adopting non-meat-based diets. This is mainly due to high levels of food insecurity and meat being the main source of protein, especially in countries like South Africa where food consumption is needs-based, and consumers are unaware of the environmental footprint of meat production. This paper is part of a two-phase study and reports on the quantitative results, which were obtained during the second phase. The main aim of this study was to investigate the factors that influence consumers’ decisions to choose plant-based food products. The factors that were selected were informed by the thematic results from phase 1, which involved focus groups that explored consumers’ opinions and behaviours towards plant-based lifestyles. By means of survey distribution, 426 online questionnaires were distributed among young consumers in South Africa. A conceptual model with six hypotheses was tested and the data were analysed using SmartPLS 4.1.0.8. The findings indicated the product taste and product knowledge are the most important factors that drive young consumers’ decisions to choose plant-based food products. The study further found that product quality, affordability, social influence, and product packaging play a role but to a lesser degree. Food marketers can utilise these findings and implement marketing strategies that can assist with persuading consumers to choose plant-based food products and adopt a healthier, more sustainable lifestyle. Full article

Energy system planning has evolved from a narrow focus on engineering and supply works towards addressing more complex, multifactorial challenges. Increasingly challenged by climate change, extreme events, economic shocks, and altered supply demand patterns, the analysis of energy systems requires holistic approaches based on data-driven models, taking into account key socio-economic factors. We draw insights from reviewing the literature, indicating the need to cover the following major gaps: the shift to transdisciplinary approaches, incorporating environmental system analysis; resilient and sustainable energy designs based on flexible portfolios of renewable mixes; the integration of socio-economic aspects, economic analyses and behavioural models to ensure energy systems are not only technically sound but socially acceptable and viable; the need for stakeholder engagement considering the human angle in energy security and behavioural shifts. Responding to these pressing challenges and emerging needs, the Global Climate Hub (GCH) initiative, operating under the UN Sustainable Development Solutions Network, offers a conceptual framework, leveraging transdisciplinary approaches. In this Concept Paper, we present for the first time the idea of the GCH as a framework that we believe has the potential to address the modern holistic needs for energy system analysis and policymaking. By setting the conceptual/theoretical ground of our suggested approach, we aim to provide guidance for innovative combinations of cutting-edge models, socio-economic narratives, and inclusive interaction with relevant stakeholders for the development and the long-term implementation of sustainable pathways. Full article

The contemporary post-COVID-19 corporate environment of instant response and hybrid work settings motivates employees to learn to adjust their expectations. This new corporate working model incorporates flex locations and flex schedules by working at home 1–2 days per week and staying connected for non-urgent requests, even outside business hours. This work setting empowers employees to prioritize work accordingly and to accommodate the fluid schedules of their coworkers. As a result, this new hybrid workplace requires leaders and their teams to face new challenges in terms of communication, coordination, and team connection to remain effective. This research examines the experiences of employees in an SME that applied a hybrid work policy following the post-pandemic crisis, bringing additional complexity to their modern work system. This study investigates employees’ views on the changing work environment as important evidence for HR management to incorporate into future organizational practices. To understand the various principles at play and provide more granular results, this paper includes a business case study (N = 25) where semi-structured interviews were used to identify the views and concerns of employees regarding hybrid work settings. The scope of this case study was to collect empirical data regarding this new agile way of working while understanding participant thinking. The findings suggest that while there are clear benefits in terms of efficiency and flexibility in hybrid work settings, there are also challenges related to social interactions and non-verbal clues. This study enhances conceptual and empirical understanding and supports contemporary research on the future of work. Full article

This study aims to comprehensively investigate the impact of green consumption on adopting a sustainable lifestyle. Based on the theory of planned behavior (TPB), a simple conceptual model is developed, and hypothesized relationships are tested in the context of a developing country—India. Using proportionate stratified random sampling, data were collected from 422 respondents from five districts in Tamil Nadu, southern India. First, the psychometric properties of the survey instrument were tested by PLS-SEM, and hypotheses were tested using path analysis. The findings show that (i) green product literacy (GPL) is not associated with green product purchase attitude (GPPA), (ii) green product orientation (GPO) is positively related to GPA, and (iii) social influence is positively associated with GPA. The results also indicate that GPA is a precursor to green purchase behavior (GPB), resulting in a sustainable lifestyle. This study found that social influence strengthens the positive effect of GPO on GPPA. From a practical standpoint, this study can provide valuable insights for policymakers, businesses, and organizations aiming to promote sustainable lifestyles by encouraging green consumption. As with any survey research, common method and social desirability biases can be significant limitations. However, every effort has been made to minimize these biases. To the best of our knowledge, the conceptual model is developed and tested for the first time, particularly in the context of a developing country—India. Thus, this study makes a unique contribution to the literature on sustainability. Full article

In the central region of Chile, the Mega-Drought together with the demographic increase near the coast threatens groundwater availability and the hydrogeological functioning of coastal wetlands. To understand the hydric relationship between an aquifer and a wetland in a semi-arid coastal region of Central Chile (Valparaíso, Chile), as well as its geoenvironmental effects, four data collection campaigns were conducted in the wetland–estuary hydric system and surroundings, between 2021 and 2022, including physical, hydrochemical, and isotopic analyses in groundwater (n = 16 sites) and surface water (n = 8 sites). The results generated a conceptual model that indicates a hydraulic connection between the wetland and the aquifer, where the water use in one affects the availability in the other. With an average precipitation of 400 mm per year, the main recharge for both systems is rainwater. Three specific sources of pollution were identified from anthropic discharges that affect the water quality of the wetland and the estuary (flow from sanitary landfill, agricultural and livestock industry, and septic tank discharges in populated areas), exacerbated by the infiltration of seawater laterally and superficially through sandy sediments and the estuary, increasing salinity and electrical conductivity in the coastal zone (i.e., 3694 µS/cm). The Del Sauce subbasin faces strong hydric stress triggered by the poor conservation state of the riparian–coastal wetland and groundwater in the same area. This study provides a detailed understanding of hydrological interactions and serves as a model for understanding the possible effects on similar ecosystems, highlighting the need for integrated and appropriate environmental management. Full article

Planning, managing and optimising surface water quality is a complex and multifaceted process, influenced by the effects of both climate uncertainties and anthropogenic activities. Developing an innovative and robust decision support framework (DSF) is essential for effective and efficient water quality management, so it can provide essential information on water quality and assist policy makers and water resource managers to identify potential causes of water quality deterioration. This framework is crucial for implementing actions such as infrastructure development, legislative compliance and environmental initiatives. Recent advancements in computational domains have created opportunities for employing artificial intelligence (AI), advanced statistics and mathematical methods for use in improved water quality management. This study proposed a comprehensive conceptual DSF to minimise the adverse effects of extreme weather events and climate change on water quality. The framework utilises machine learning (ML), deep learning (DL), geographical information system (GIS) and advanced statistical and mathematical techniques for water quality management. The foundation of this framework is the outcomes from our three studies, where we examined the application of ML and DL models for predicting water quality index (WQI) in reservoirs, utilising statistical and mathematical methods to find the seasonal trend of rainfall and water quality, exploring the potential connection between streamflow, rainfall and water quality, and employing GIS to show the spatial and temporal variability of hydrological parameters and WQI. Three potable water supply reservoirs in the Toowoomba region of Australia were taken as the study area for practical implementation of the proposed DSF. This framework can serve as a comprehensive mechanism to identify distinct seasonal characteristics and understand correlations between rainfall, streamflow and water quality. This will enable policy makers and water resource managers to enhance their decision making processes by selecting the management priorities to safeguard water quality in the face of future climate variability, including prolonged droughts and flooding. Full article

Research has demonstrated that engagement in any learning environment improves learning and may even boost performance. Consequently, numerous scholars have examined various approaches to raising student engagement in learning. Gamification is one such approach because it is thought to increase motivation and reduce cognitive load to ultimately improve learning outcomes. However, some studies have called into question its benefits, prompting more research to be conducted to properly understand the phenomenon. Hence, the study examined gamification’s influence on motivation and cognitive load for enhancing learning engagement. The study was underpinned by the integration of the Attention, Relevance, Confidence, and Satisfaction (ARCS) model, self-determination theory (SDT), and cognitive load theory (CLT) in developing a conceptual framework. A sample of 407 university students who participated in five gamified courses were involved in the study. The data collected through a questionnaire were analyzed using SmartPLS structural equation modeling software. According to the study’s findings, both motivation and cognitive load influence engagement in learning, with cognitive load being the stronger influence. The study contributes to our knowledge by elucidating the relationship between gamification and students’ cognitive load and motivation to learn, as well as how these elements ultimately engage students in the learning process. Full article

Precisely delineating the spatiotemporal heterogeneity of water conservation services function (WCF) holds paramount importance for watershed management. However, the existing assessment techniques exhibit common limitations, such as utilizing only multi-year average values for spatial changes and relying solely on the spatial average values for temporal changes. Moreover, traditional research does not encompass all WCF values at each time step and spatial grid, hindering quantitative analysis of spatial heterogeneity in WCF. This study addresses these limitations by utilizing an improved water balance model based on ecosystem type and soil type (ESM-WBM) and employing the EFAST and Sobol’ method for parameter sensitivity analysis. Furthermore, a space–time cube of WCF, constructed using remote-sensing data, is further explored by Emerging Hot Spot Analysis for the expression of WCF spatial heterogeneity. Additionally, this study investigates the impact of two core parameters: neighborhood distance and spatial relationship conceptualization type. The results reveal that (1) the ESM-WBM model demonstrates high sensitivity toward ecosystem types and soil data, facilitating the accurate assessment of the impacts of ecosystem and soil pattern alterations on WCF; (2) the EHSA categorizes WCF into 17 patterns, which in turn allows for adjustments to ecological compensation policies in related areas based on each pattern; and (3) neighborhood distance and the type of spatial relationships conceptualization significantly impacts the results of EHSA. In conclusion, this study offers references for analyzing the spatial heterogeneity of WCF, providing a theoretical foundation for regional water resource management and ecological restoration policies with tailored strategies. Full article