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This study seeks to comprehend how sociomateriality influences the openness paradox within the context of open strategising.

We adopted a qualitative approach and developed a case study as a research method. The data included 10 semi-structured interviews, direct observation and documentary analysis, including virtual documents, collaborative platforms and communication systems.

We found that sociomateriality influences the transition between openness and closure in open strategy (OS) dimensions, namely inclusion, participation and transparency, once organisational practitioners actively build on social relationships and engage with material elements within this paradoxical context.

The primary limitation was the challenge of managing extensive data, especially tracking all meetings and interactions. Nonetheless, we aimed to provide a comprehensive view and meaningful insights from the data. Future research could employ mixed methods to achieve a more holistic understanding of the phenomenon.

By understanding the role of formalisation and legitimation played by sociomateriality during open strategising, practitioners can navigate the complexities of balancing openness and closure, fostering innovation and engagement while ensuring the legitimacy of strategising. Recognising the coexistence of exclusions in social practices enables society to comprehend this paradox and highlight the need to address it, fostering an inclusive environment and promoting balanced openness in various social contexts.

Our study contributes to the OS literature by highlighting the role of sociomateriality in shaping the openness and closure interplay. Additionally, we emphasise the importance of formalisation and legitimation practices involving materiality in the balance between openness and closure in a context where openness is deemed essential for strategic success.

This study introduces diagrammatic morphology as a novel method for analysing the synergistic interactions within school mapping. It seeks to reshape the evaluation of school mapping typologies, focusing on the interconnectedness of learning activities, social interactions, and spatial configurations. Aims: (1) To develop the morphological evaluation procedures for school mapping. (2) To evaluate the Iranian Middle Schools' Interior Architecture (IMSIA) using the diagrammatic morphological method.

This qualitative study has been conducted in two steps: A review of the morphological method for school mapping evaluation. A case study analysis of fifty-five IMSIA samples.

The spatial typology of IMSIA were categorized into four distinct models. These models included ten distinct pattern categories within twenty-one different types. The case study evaluation identified three levels of synergistic complexity within the school mapping: primary, intermediate, and advanced. The advanced level displayed the strongest connection to pedagogies among the analysed models.

This research innovatively evaluates the synergistic context of schools based on the assemblage theory through an occupational analysis of the Iranian middle schools' interior architecture mapping diagrammatic morphological method.

Better identification of comfort preferences and occupant behaviour drivers is expected to improve buildings’ user-centred designs and energy operations. To understand the underline drivers of occupant behaviours in office buildings, this study aims to evaluate the inter-relationships among occupant energy behaviours, indoor environmental quality satisfaction, user control and social-psychological factors influencing occupant behaviours in New Zealand offices.

Using an occupant perception survey, this study identifies the occupant behaviour patterns based on multi-domain comfort preferences. A case study was conducted in five office spaces of a university in Auckland, New Zealand. Data were collected from 52 occupants and analysed using descriptive and binary logistic regression analysis. Indoor environmental quality, user control, motivational, opportunity and ability factors were the independent variables considered. A model to predict the behaviours using environmental, building and social-psychological aspects was developed.

The results showed that the primary sources of indoor environmental quality discomfort were related to thermal and air quality, while occupants’ indoor environmental quality satisfaction correlated with their comfort preferences. The outcomes emphasise how the connection between building systems and occupants’ comfort preferences affect the choice of occupant behaviours in offices. Also, the primary occupant behaviours were drinking hot and cold beverages, opening/closing windows and internal doors and adjusting clothing. The binary logistic regression analysis showed that occupants’ perceived user control satisfaction is the main driver for increasing window actions. No other independent variable showed a statistically significant association with other behaviours.

This study adopted a novel approach to assess the combined effects of comfort preferences, occupant energy behaviours and various environmental, building and socio-psychological factors for modelling energy-saving behaviours in office buildings.

The purpose of this study is to predict the thermal protective performance (TPP) of flame-retardant fabric more economically using machine learning and analyze the factors affecting the TPP using model visualization.

A total of 13 machine learning models were trained by collecting 414 datasets of typical flame-retardant fabric from current literature. The optimal performance model was used for feature importance ranking and correlation variable analysis through model visualization.

Five models with better performance were screened, all of which showed R2 greater than 0.96 and root mean squared error less than 3.0. Heat map results revealed that the TPP of fabrics differed significantly under different types of thermal exposure. The effect of fabric weight was more apparent in the flame or low thermal radiation environment. The increase in fabric weight, fabric thickness, air gap width and relative humidity of the air gap improved the TPP of the fabric.

The findings suggested that the visual analysis method of machine learning can intuitively understand the change trend and range of second-degree burn time under the influence of multiple variables. The established models can be used to predict the TPP of fabrics, providing a reference for researchers to carry out relevant research.

The findings of this study contribute directional insights for optimizing the structure of thermal protective clothing, and introduce innovative perspectives and methodologies for advancing heat transfer modeling in thermal protective clothing.

The purpose of this study is to develop black pigmented ceramic stoneware bodies that integrate various aspects of material composition and color potential. Recent research has explored black pigmented calcium aluminosilicate glass (BPCG), a specialized material known for its unique properties, which holds promise for transforming the color capabilities of traditional ceramics.

In this investigation, initially composite ceramic sample (B-1) was prepared by milling process prior to sieve analysis to attain the particle size within 44 microns. Microanalysis and morphology and thermography were studied by energy-dispersive X-ray spectroscopy, scanning electron microscope and thermogravimetric analysis and found Sample-B-1 received attractive properties like firing shrinkage, porosity, bulk density and firing strength along with good pyro-plastic properties at various temperatures like 950°C, 1050°C, 1000°C and 1180°C. Furthermore, BPCG-assisted pigmented ceramic composites were synthesized with B-1 matrix. CIE lab investigation of the attributed composites (C-series) within selective soaking range of 5–20 min was performed, and the investigation found that prominent black hue appeared (L: 24.09, a*: −0.17, b*: −0.49) for C-10 containing appeared phases of Di-Co-Silicide (26%), Ni-Chromite, Stilpnomelane (rich in iron) as obtained by X-ray diffraction studies.

Ceramic material played a significant role in the realms of art and craft, as well as in technology. The artistic facet reveals concepts or ornamentation, while the craft echoes both traditional and functional appeal. Technology, on the other hand, involves the logical implementation behind the creation.

This C-10 Sample comprised the lower percentage of mullite which attributed that the BPCG homogeneously mixed in the matrix of base (B-1) and appeared as spinal staff. Therefore, BPCG was a potential candidate for ceramic metallization, and this traditional metallization processes often faced some challenges like uniformity and mixing in the ceramic composite domain practices. This study aimed to open up new avenues for artistic decoration and bridging the gap between traditional craftsmanship and modern technology. Furthermore, BPCG’s role in color assessment through shocking techniques added an exciting concept for the ceramic practitioners, designers or ceramic educators.

This paper aims to address the imperative of establishing adaptive sustainable supply chain management (SSCM) within the context of export food supply chains (EFSC) in Jordan, with potential global applicability. The research introduces a new conceptual framework validated through the analytic hierarchy process (AHP), prioritizing critical factors based on five expert opinions. The practical and managerial outcomes emphasize achieving sustainable supply chain performance through quality-driven sustainability (QDS), encapsulated in a practical framework (SSCQM). Employing the concept of QDS, this study aims to develop a novel decision framework for Sustainable Supply Chain Quality Management (SSCQM).

Conducted as an empirical qualitative study in Jordan, the research employs a systematic literature review to identify research gaps and establish the initial conceptual framework. A pilot case is subsequently conducted to refine the framework, followed by Case Studies of four Triads, elucidating network relationships between suppliers, manufacturers and customers. A total of 32 semi-structured interviews, complemented by observations, tours and document analysis, individually explored each case during the exploratory stage. Cross-analysis of the four cases at the explanatory stage provides empirical insights, and data triangulation, literature review and validation using NVivo enhance the robustness of the findings.

The amalgamation of the three perspectives, when treated individually, results in the integrated category of QDS influencing sustainability (SUST) performance, evident in economic, environmental and social dimensions. Various sustainable initiatives have emerged through the relationships within the Triad, comprising a company, supplier and customer in the supply chain and its broader environment, including society, aiming for enhanced sustainable development and SUST performance. Recognizing the urgency of Supply Chain Management (SCM) in the Middle East, where global supply chains are susceptible to disruptions leading to food shortages and insecurity, this research investigates the state of EFSC in the export food industry in Jordan. The novel decision (SSCQM) framework equips managers and policymakers with knowledge and practices applicable to focal actors in Triads within their EFSCs, particularly in developing countries, thereby contributing to enhancing the export food industry’s sustainability.

This research provides empirical and contextual justifications for the supply chain-quality model (SSCQM) that advocates for business organizations how a desirable, sizeable and significant outcome/shock can be triggered via embedding quality elements in an international supply chain specifically in Jordan. The research also offers significant implications for practising supply chain experts in terms of how they can effectively utilize the supply chain quality to align other players in the supply chain, revenue potential, customer retainability and employee retention to achieve superior organizational performance. The research selectively encompasses three key perspectives of supply chain networks (SCN), total quality management (TQM) and SUST to elucidate the essence of SCM.

This research contributes towards filling the gap as a lack of empirical research.

Heritage education is currently a consolidated discipline, which advocate for a holistic vision of heritage. In this sense, this research aims to study the heritage conceptions, perceptions and learning context amongst primary and secondary students, comprehensively and fully.

This research focuses in Andorra, a country in the Pyrenees, where there are three different education systems. This allowed the study to obtain a sample of 1,235 primary and secondary students, throughout a structured questionnaire that was previously designed and validated ad hoc.

In general terms, the results show that around half of the students have a holistic view of heritage; however, natural and historical elements are highlighted as the ones they learn from the most, especially through visits in situ. Moreover, the students’ perceptions of heritage show that over a 90% of students believe it is important to safeguard because it is connected to nature and culture preservation.

This research is included in a greater scope project that also considers other agents in the education community that belong to formal and non-formal spheres. In addition, it is the first investigation where the field of heritage education is studied globally in an entire country, considering primary and secondary education students.

This paper investigates the relationship between the sustainable finance disclosure regulation (SFDR) and the performance of unlisted real estate funds.

While existing literature has primarily focused on the impact of voluntary sustainability disclosure, such as certifications or reporting standards, this study addresses a significant research gap by constructing and analyzing the financial J-Curve of 40 funds under the SFDR. The authors employ a panel regression analysis to examine the effects of different SFDR categories on fund performance.

The findings reveal that funds categorized under Article 8 of the SFDR do not exhibit significantly poorer performance compared to funds categorized under Article 6 during the initial phase after launch. On average, Article 8 funds even demonstrate positive returns earlier than their peers. However, the panel regression analysis suggests that Article 8 funds slightly underperform when compared to Article 6 funds over time.

While investors may not anticipate lower initial returns when opting for higher SFDR categories, they should nevertheless be aware of the limitations inherent in the existing SFDR labeling system within the unlisted real estate sector.

To the best of our knowledge, this study represents the first quantitative examination of unlisted real estate fund performance under the SFDR. By providing unique insights into the J-Curves of funds, our research contributes to the existing body of knowledge on the impact of sustainability regulations in the financial sector.

Occupant behavior can lead to considerable uncertainties in thermal comfort and air quality within buildings. To tackle this challenge, the use of probabilistic controls to simulate occupant behavior has emerged as a potential solution. This study seeks to analyze the performance of free-running households by examining adaptive thermal comfort and CO2 concentration, both crucial variables in indoor air quality. The investigation of indoor environment dynamics caused by the occupants' behavior, especially after the COVID-19 pandemic, became increasingly important. Specifically, it investigates 13 distinct window and shading control strategies in courtyard houses to identify the factors that prompt occupants to interact with shading and windows and determine which control approach effectively minimizes the performance gap.

This paper compares commonly used deterministic and probabilistic control functions and their effects on occupant comfort and indoor air quality in four zones surrounding a courtyard. The zones are differentiated by windows facing the courtyard. The study utilizes the energy management system (EMS) functionality of EnergyPlus within an algorithmic interface called Ladybug Tools. By modifying geometrical dimensions, orientation, window-to-wall ratio (WWR) and window operable fraction, a total of 465 cases are analyzed to identify effective control scenarios. According to the literature, these factors were selected because of their potential significant impact on occupants’ thermal comfort and indoor air quality, in addition to the natural ventilation flow rate. Additionally, the Random Forest algorithm is employed to estimate the individual impact of each control scenario on indoor thermal comfort and air quality metrics, including operative temperature and CO2 concentration.

The findings of the study confirmed that both deterministic and probabilistic window control algorithms were effective in reducing thermal discomfort hours, with reductions of 56.7 and 41.1%, respectively. Deterministic shading controls resulted in a reduction of 18.5%. Implementing the window control strategies led to a significant decrease of 87.8% in indoor CO2 concentration. The sensitivity analysis revealed that outdoor temperature exhibited the strongest positive correlation with indoor operative temperature while showing a negative correlation with indoor CO2 concentration. Furthermore, zone orientation and length were identified as the most influential design variables in achieving the desired performance outcomes.

It’s important to acknowledge the limitations of this study. Firstly, the potential impact of air circulation through the central zone was not considered. Secondly, the investigated control scenarios may have different impacts on air-conditioned buildings, especially when considering energy consumption. Thirdly, the study heavily relied on simulation tools and algorithms, which may limit its real-world applicability. The accuracy of the simulations depends on the quality of the input data and the assumptions made in the models. Fourthly, the case study is hypothetical in nature to be able to compare different control scenarios and their implications. Lastly, the comparative analysis was limited to a specific climate, which may restrict the generalizability of the findings in different climates.

Occupant behavior represents a significant source of uncertainty, particularly during the early stages of design. This study aims to offer a comparative analysis of various deterministic and probabilistic control scenarios that are based on occupant behavior. The study evaluates the effectiveness and validity of these proposed control scenarios, providing valuable insights for design decision-making.