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The purpose of this study is to explore how digital technologies at work serve as environments for informal workplace learning in knowledge work.

Digital ethnography was used to investigate the digital environments of one public sector workplace. The data included observations, interviews and participant diaries.

The digital work environment consisted of a complex network of technologies and people connected to them. The ethnographic accounts revealed both expansive and restrictive features of the digital environment. Digital technology extended learning opportunities by providing flexible possibilities for interaction, collaboration and access to a wealth of information. On the contrary, digitally mediated presence could restrict learning if the attendance and learning remained superficial. The complexity and constant change in digital workplace environments presented challenges that could potentially restrict learning. Information overload, constant interruptions and changes were burdens that required employees’ skills to manage these challenges.

The authors take a novel approach to view the workplace as a phygital environment in which social, physical and digital environments are combined. Because digital environments are becoming increasingly essential parts of the workplace, it is important to understand how they can support learning.

Are there smart ways to find heuristics? What are the common principles behind heuristics? We propose an integrative definition of heuristics, based on insights that apply to all heuristics, and put forward meta-heuristics for discovering heuristics.

We employ Herbert Simon’s metaphor that human behavior is shaped by the scissors of the mind and its environment. We present heuristics from different domains and multiple sources, including scholarly literature, practitioner-reports and ancient texts.

Heuristics are simple, actionable principles for behavior that can take different forms, including that of computational algorithms and qualitative rules-of-thumb, cast into proverbs or folk-wisdom. We introduce heuristics for tasks ranging from management to writing and warfare. We report 13 meta-heuristics for discovering new heuristics and identify four principles behind them and all other heuristics: Those principles concern the (1) plurality, (2) correspondence, (3) connectedness of heuristics and environments and (4) the interdisciplinary nature of the scissors’ blades with respect to research fields and methodology.

We take a fresh look at Simon’s scissors-metaphor and employ it to derive an integrative perspective that includes a study of meta-heuristics.

There is an urgent need to translate climate change awareness into tangible climate adaptation strategies. The built environment is identified as one of the kick-off points in making climate change adaptation as the built environment shares a dual-way relationship. While the built environment largely contributes to the climate change-triggering factors, it also becomes highly vulnerable in the face of climate change impacts. Tied up with the interconnectedness of the built environment processes and associated systems, the involvement of numerous stakeholders from different spectrums creates the need for a holistic and multi-stakeholder approach in developing climate response strategies for the built environment. Accordingly, this study aims to identify the roles and responsibilities of the different built environment stakeholders in climate change adaptation.

The study consisted of a scoping review at the initial stage, contextualising studies based on secondary data, and semi-structured expert interviews in five different countries: the UK, Sweden, Malta, Spain and Sri Lanka. The paper summarises the findings of the individual country-level desk studies and 65 built environment stakeholder interviews representing national and local governments, communities, academia and research organisations, civil organisations, professional bodies and the private sector. The findings were validated through focus group discussions in two stakeholder seminars.

The findings summarised a set of key roles and sub-roles for each stakeholder category, considering the current status and needs. The national governments need to set a long-term vision, enabling multi-sector interventions while promoting investment and innovation in climate change adaptation. The local governments overlook local adaptation plans, while the community is responsible for decarbonising operations and practising adaptation at the local level. Civil organisations and professional bodies are the voice of the community, linking policy and practice. Academia and research are responsible for nurturing skills and new knowledge, and the private sector must contribute by adopting climate resilience into their business portfolio and corporate social responsibility.

This research is part of an Europe-Union-funded research project, Built Environment leArning for Climate Adaptation (BEACON), which aims to develop skills and competencies of the built environment professionals so that they will be adequately equipped to handle the adaptation process of the built environment needs to adapt in facing the climate change impacts.

The paper provides an in-depth analysis of the roles and responsibilities pertaining to each category of the different stakeholders in effectively adapting the built environment to withstand the climate change consequences. Demarcation of each stakeholder’s roles and responsibilities separately facilitates collaboration and coordination between the different parties and provides a more holistic approach to climate change adaptation in the built environment.

This study aims to contribute to the existing literature on corporate social responsibility (CSR) by examining the influence of national media environments on the economic consequences of CSR. Drawing on signaling theory, this study distinguishes between two country-level media environments − digital media accessibility and media freedom − of which the prior research has often implied their value in cultivating the stakeholders’ awareness about the firms’ socially responsible behavior, suggesting that they amplify the benefits of CSR actions.

This study conducts multilevel analysis with a sample of 44,222 firm-year observations representing 6,726 companies from 57 countries over the period 2003–2019.

This study finds supportive evidence that CSR is more positively related to financial gains in countries with greater digital media accessibility. This study concludes that digital media accessibility affects a firm’s reputation and legitimacy benefits derived from CSR actions, resulting in better financial performance (FP).

The findings of this paper contribute to the existing literature on the CSR–FP relationship by demonstrating the relevance of considering the media environment to better explain the link between CSR and FP. In doing so, this study enriches our understanding of the importance of the media at macro-level institutions by examining how and why these media environments cultivate a culture of CSR as a strategic tool for firms.

This study aims to provide a systemic and integrated view of how Industry 4.0 and its enabling technologies affect companies' internal and external environments. It offers a comprehensive view of the contribution about ten years after the start of the Fourth Industrial Revolution.

The study performs a systematic literature review based on Industry 4.0 management literature. Analyzing the results of the 308 final papers in the sample made it possible to build a theoretical model to explain the contribution of Industry 4.0 to the internal and external environment of the company.

The results highlight the contribution of Industry 4.0 to the processes and environment of the company by providing a systemic and integrated view, highlighting the most applied enabling technologies and their internal, external, and combined usefulness in business processes.

Finally, the paper provides a broad view of the Industry 4.0 topic ten years after its origin through an extensive literature analysis that allows us to highlight the significant studies and the areas still under-researched by researchers and opens the debate on the Industry 5.0 scenario.

The model makes it possible to appreciate the role of Industry 4.0 and its enabling technologies in companies in a broad and systemic view and to understand, from a managerial point of view, the interactions, synergies, and possibilities within processes and the reflection on the external environment.

This study aims to examine if and how an activity-based work environment affects employee workspace satisfaction – an attitude linked to important employee outcomes. By comparing perceptions before and after implementation, the research draws attention to factors that may help explain the impact of an activity-based work environment. Specifically, prior attitudes toward activity-based work environments and gender are tested.

The present study uses a longitudinal design to explore how implementing an activity-based work environment impacts employees’ workspace satisfaction (e.g. privacy, air quality, lighting, temperature, etc.). A sample of 100 employees in a government organization implementing an activity-based working environment was investigated using a longitudinal design, with employees being surveyed thrice – once before and twice after implementation.

The results indicate that when workspace satisfaction is impacted by implementing an activity-based work environment, this effect seems primarily based on employees’ prior attitude toward such work environments. In addition, employee gender emerges as a potentially important factor in workspace satisfaction, though not exclusive to the activity-based work environment.

Using a longitudinal approach – which allows for observing potential changes over time – and robust statistical methods, this study supports the importance of employees’ initial attitude toward an activity-based work environment concerning workspace satisfaction. This finding has practical implications for organizations and advances the understanding of why an activity-based work environment may positively affect workspace satisfaction for some employees while negatively affecting others.

The present paper aims to address challenges associated with path planning and obstacle avoidance in mobile robotics. It introduces a pioneering solution called the Bi-directional Adaptive Enhanced A* (BAEA*) algorithm, which uses a new bidirectional search strategy. This approach facilitates simultaneous exploration from both the starting and target nodes and improves the efficiency and effectiveness of the algorithm in navigation environments. By using the heuristic knowledge A*, the algorithm avoids unproductive blind exploration, helps to obtain more efficient data for identifying optimal solutions. The simulation results demonstrate the superior performance of the BAEA* algorithm in achieving rapid convergence towards an optimal action strategy compared to existing methods.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bidirectional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bi-directional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm.

The rigorous evaluation of our proposed BAEA* algorithm with the BAA* algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The originality of this paper lies in the introduction of the bidirectional adaptive enhancing A* algorithm (BAEA*) as a novel solution for path planning for mobile robots. This algorithm is characterized by its unique characteristics that distinguish it from others in this field. First, BAEA* uses a unique bidirectional search strategy, allowing to explore the same path from both the initial node and the target node. This approach significantly improves efficiency by quickly converging to the best paths and using A* heuristic knowledge. In particular, the algorithm shows remarkable capabilities to quickly recognize shorter and more stable paths while ensuring higher success rates, which is an important feature for time-sensitive applications. In addition, BAEA* shows adaptability and robustness in dynamically changing environments, not only avoiding obstacles but also respecting various constraints, ensuring safe path selection. Its scale further increases its versatility by seamlessly applying it to extensive and complex environments, making it a versatile solution for a wide range of practical applications. The rigorous assessment against established algorithms such as BAA* consistently shows the superior performance of BAEA* in planning shorter paths, achieving higher success rates in different environments and cementing its importance in complex and challenging environments. This originality marks BAEA* as a pioneering contribution, increasing the efficiency, adaptability and applicability of mobile robot path planning methods.

Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience.

A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience.

Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience.

To the best of the authors’ knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters.

Exploring the intrinsic connection between the ecological environment and the digital economy and empirically testing how the level of digital economic development affects the ecological environment. Using the entropy weighting method to analyze the weights of the indicators in the digital economic development level and ecological environment system to explore the factors that have the greatest impact on the ecological environment in the indicator system of the digital economic development level so as to deepen the theoretical understanding of the relationship between the level of development of the digital economy and the ecological environment. Explore the regional heterogeneity of the level of development of the digital economy to promote the healthy development of China’s ecological environment proving the difference in the level of development of the digital economy in the east west and central regions of China and the difference in the effect on the ecological environment.

Based on the panel data of 30 provinces in China from 2013 to 2021 this paper fits the index system of digital economy development level with three factors. A digital infrastructure digital industry and digital application combines environmental pollution and energy consumption to construct ecological environment indicators and explored the impact of digital economy development level on the ecological environment by using the entropy weight method and the random effect model.

The findings indicate that the degree of digital economic development has a positive and significant impact on promoting the healthy development of the ecological environment, in which the digital industry has the greatest impact on the ecological environment. Meanwhile, the improvement of industrial structure also has a positive effect on the improvement of the ecological environment, whereas the level of human capital inhibits the healthy development of the ecological environment, and the governmental support fails to effectively and significantly promote the improvement of the ecological environment. Furthermore, the empirical research indicates that the level of digital economy development has obvious regional heterogeneity on the healthy development of the ecological environment: the eastern and central regions have a significant effect, while the western region has a less significant effect.

Although domestic and foreign scholars and experts have conducted sufficient studies on the ecological environment and the development level of digital economy respectively, there are few studies on the empirical analysis of the positive significance and regional heterogeneity of the impact of the development level of digital economy on the ecological environment, which can be supplemented and referred to in this study. At the same time, it also provides intellectual support for our country to achieve high-quality development of digital economy and efficient governance of ecological environment.

Through Bourdieusian sociology, this study aims to interpret a globalized symbolic environment ward by the States and dominated by organizations through the States’ Nobilities enticing and the Euro-American influences disseminated by the cultural circuit of capitalism in the inculcation and incorporation of a class habitus conniving with this logic of domination.

This study has developed a theoretical essay based on the contributions of Bourdieusian sociology to discuss and understand the following concepts and their respective relationships: symbolic environment, globalization, organizations, State, State Nobility, Euro-American influences, cultural circuit of capitalism and class habitus.

The arguments built throughout this theoretical essay recognized how class habitus on environment contributes to organizations establishing themselves as a space that consolidates and replicates the domination logic. As indicated, the State Nobility is an intermediary element between dominant organizations and the State, as dominated.

This theoretical essay signals that less harmful alliances between organizations, the State Nobility and the State could culminate in social, environmental and economic scenarios provided with more inclusion, diversity and preservation.

This study presents an in-depth conceptual analysis to hold power structures responsible as direct and indirect drivers of environmental problems, with their different proportions and severity levels, affecting the planet.

This study proposes an alternative lens to debate and question how much the results presented by the contemporary world order compensate (if in any way) the damage that invades and deteriorate environmental assets.