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Bacterial cellulose (BC) is an ideal alternative filtering material. However, current functionalization approaches for BC have not been fully discovered industrially as well as academically applying textile processing. This study aims to create a sustainable fabric-like membrane made of BC/activated carbon (AC) for applications in filtration using textile padding method, to protect people from respiratory pandemics.

Fabric-like BC is first mechanically dehydrated then AC is loaded via a textile padding step. The finishing efficacy, properties of fabric-like BC/AC and NaOH pretreatment are analyzed and characterized by scanning electron microscope (SEM), field emission scanning electron microscope (FE SEM), X-ray diffraction (XRD), CIELab color space, color strength (K/S), nitrogen adsorption-desorption isotherm including Brunauer–Emmett–Teller (BET) specific surface area and Barrett–Joyner–Halenda (BJH) pore size and volume.

This research results in a fabric-like BC/AC with pore diameters of 3.407 ± 0.310 nm, specific surface area of 115.28 m²/g and an efficient scalable padding process, which uses 8 times less amount of chemical and nearly 30 times shorter treating duration than conventional methods.

Our globe is now consuming an alarming amount of non-degradable disposable masks resulting in massive trash buildup as a future environmental problem. Besides, current disposable masks requiring a significant upfront technological investment have posed challenges in human protection from respiratory diseases, especially for countries with limited conditions. By combining a sustainable material (BC) with popular padding method of textile industry, the fabric-like BC/AC will offer sustainable and practical values for both humankind and nature.

This research has offered an effective padding process to functionalize BC, and a unique fabric-like BC/AC membrane for filtration applications.

This paper aims to explore the implications of algorithmic management on careers and employment relationships in the Nigerian gig economy. Specifically, drawing on labour process theory (LPT), this study provides an understanding of the production relations beyond the “traditional standard” to “nonstandard” forms of employment in a gig economy mediated by digital platforms or digital forms of work, especially on ride-hailing platforms (Uber and Bolt).

This study adopted the interpretive qualitative approach and a semi-structured interview of 49 participants, including 46 platform drivers and 3 platform managers from Uber and Bolt.

This study addresses the theoretical underpinnings of the LPT as it relates to algorithmic management and control in the digital platform economy. The study revealed that, despite the ultra-precarious working conditions and persistent uncertainty in employment relations under algorithmic management, the underlying key factors that motivate workers to engage in digital platform work include higher job flexibility and autonomy, as well as having a source of income. This study captured the human-digital interface and labour processes related to digital platform work in Nigeria. Findings of this study also revealed that algorithmic management enables a transactional exchange between platform providers and drivers, while relational exchanges occur between drivers and customers/passengers. Finally, this study highlighted the perceived impact of algorithmic management on the attitude and performance of workers.

The research presents an interesting case study to investigate the influence of algorithmic management and labour processes on employment relationships in the largest emerging economy in Africa.

This study aims to understand the determinants of the relationship between tax authorities and taxpayers in the digital era and how this relationship impacts tax compliance behavior, especially in the context of emerging countries like Morocco.

A qualitative methodology was adopted, involving interviews with tax inspectors and auditors, certified accountants’ experts and tax consultants. Data analysis was conducted using IRAMUTEQ software.

The research highlights that the relationship's quality and the level of mutual trust between tax authorities and taxpayers are critical in determining tax compliance in the digital era. Central factors affecting this relationship encompass effective communication, simplification of tax procedures, clarity of tax laws and the digitization of tax services. Furthermore, the study emphasizes that these dynamics and determinants significantly influence the tax compliance behavior of taxpayers in Morocco, revealing intricate connections between relational aspects and compliance attitudes.

The findings suggest that fostering a mutually trusting relationship, through improved communication, simplification and digitization, can enhance taxpayer compliance. This is valuable for policymakers and tax authorities developing strategies to improve tax systems in emerging countries.

This study contributes to the sparse literature on the relationship between tax authorities and taxpayers in the and digital era, offering new insights into factors that influence tax compliance in the post COVID-19 crisis context. Its practical recommendations provide a foundation for developing strategies aimed at improving this relationship and, consequently, taxpayer compliance behavior in emerging countries.

Income from investment properties can fluctuate depending on the state of the economy. The idea that there is always a potential exit (sale) value whenever the property stops performing at its optimum or deflation in the economy will always appeal to investors. To determine housing prices, investors would rely on a direct comparison approach (DCA) of recent substitute sales in the open market. Appraisers use this approach to develop an opinion of value when there is a plethora of recent sales to analyse.

The study was designed to establish the use of the analytical hierarchy process (AHP) approach as a support tool for deciding property appraisals. A case study of an industrial single-storey stand-alone building with grade-level parking in the south-east of Calgary, Canada, was investigated with the AHP approach. The result was cross-referenced with the DCA.

Using a consistency index of 0.077321 and a consistency ratio of 0.085912, the matrix multiplication was determined to be 0.456706. The average valuations derived from the adjusted price per square foot using the direct comparison method and the unadjusted price per square foot using the AHP were deemed the best value estimate in the light of available comparables. The implications of the findings suggest that AHP, as a quantitative technique, can support and validate the use of similar non-recent sale comparables when appraising investment properties with the DCA.

AHP is an alternative aid in quantitatively deciding the most significant value attribute for comparison before subjective adjustments. When intuitively applied in the DCA, these subjective adjustments almost always lead to an overvaluation of properties.

To transition into a green/circular economy (CE), both academics and industrialists have undertaken research into various areas of circular business models (CBM), yet despite numerous studies conducted, the ensuing discourse contains scant information regarding the barriers to CBM adoption in the built environment. Therefore, this present study explores the critical barriers hindering the adoption of CBM in the Ghanaian construction industry (GCI), establishing the criticality of the principal barriers identified.

The mixed philosophies of interpretivism and postpositivism were adopted to deductively analyse primary data collected via a survey questionnaire. A comprehensive literature review was first conducted to identify the barriers of adopting CBM in the construction industry. Data gathered from professionals with knowledge of CBM and the green/CE were then analysed using descriptive statistics and inferential fuzzy synthetic evaluation.

Emergent barriers to CBM adoption in the GCI were identified as institutional barriers (i.e. inadequate technology development and transfer, insufficient green incentives in the industry and lack of institutional framework that promote); proficiency barriers (i.e. lack of understanding of circular business models, inadequacy of expertise amongst construction professionals, unfamiliar techniques associated with circular business models and fear of greater investment cost) and cultural barriers (i.e. cultural reluctancy of clients to embrace circular urbanization, inadequate measurement tool, lack of a culture that encourages community engagement in environmental decision-making, inadequate performance information and database, lack of prior experience of stakeholders, inadequate government policies, low public awareness and lack of manufacturer and supplier support). The fuzzy synthetic analysis confirmed all the principal barriers as critical. These barriers had a respective criticality index of 3.66, 3.59 and 3.39. Evidently, the CBM adoption in the GCI faces major challenges and consequently, sector stakeholders must strategize their organizational undertakings to transition their traditional business models towards innovative circular ones.

This study provides a novel and thorough evaluation on the barriers to CBM adoption and establishes the criticality of the identified barriers. The study's findings offer essential direction to GCI stakeholders and policymakers to facilitate the shift towards a CE in accordance with the United Nations' Sustainable Development Goals (SDGs).

The rapid expansion of artificial intelligence (AI) is progressively reshaping the dynamics of human interaction, communication, lifestyle, education and professional endeavors. The purpose of the study is to comprehend and address the barriers which are impeding the implementation of Generative AI Technologies, such as ChatGPT in the educational landscape.

The study used the Fuzzy analytic hierarchy process (AHP) model to analyze the responses gathered from 149 academicians belonging to the northern states of India.

The study established that the three most important criteria that influence the adoption of generative AI in the education sector are Risk of Academic Integrity, Risk of biased outcomes and Erosion of Critical Thinking.

The present study was confined to Fuzzy AHP to extract the critical criteria influencing the decision-making. Various other techniques such as PF-Delphi and PF-CoCoSo can be used further. The results provide significant inputs for future research to understand the effect of adoption of Generative AI in different contexts including both opportunities and the challenges faced by them.

The study will be beneficial to various stakeholders including students, educators, society and policymakers as the study will highlight the importance of AI tools, introduce the various challenges associated with and explain the use of these tools as productivity-enhancing tools.

To the best of the author’s knowledge, the present study is a novice as the use of AI in Academia is unexplored and the major criteria influencing the choices have yet been undiscovered.

This study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence.

This study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM).

The results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship.

As a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.

In England, climate change and sustainability education (CCSE) is predominantly taught with a focus on knowledge in school geography and science. However, whole-school approaches to CCSE exist which encompasses curriculum, campus, community and culture. Drawing on conceptualisations of the ecological approach to teacher agency we explored the ways in which the leadership of a whole-school approach to CCSE was implemented across four case study schools.

Four case study schools were identified as having implemented CCSE across the areas of classroom, culture, campus and community, with opportunities to share good practice. During visits to each school, we completed a series of 15 interviews with teachers who had roles leading geography (n = 4) and science (n = 4) curricular; school leaders (n = 4) and sustainability coordinators (n = 3). We engaged with a range of school curricula and policy materials and toured each site.

At the heart of an effective approach to whole-school CCSE are leaders who create the conditions for teachers to achieve agency and enact curriculum making as a social practice. School leaders themselves are critical in ensuring the culture, professional norms and expectations are established and nurtured. Over time, teachers are able to identify and create spaces of agency in relation to CCSE which reach beyond their immediate communities.

This research brings together teacher agency, curriculum making and leadership practices to better understand why some schools achieve agentic cultures as part of whole-school CCSE.

This study investigates the interplay between flood risk, financial constraints and buyer behavior in the housing market. It aims to discern how flood experience influences housing choices, particularly among financially constrained buyers.

Using hedonic pricing models and probit analysis, this research examines the implicit prices of house characteristics and evaluates the determinants of housing choices, considering factors such as flood risk, financial status and past flood experience.

The study underscores that lower house prices incentivize buyers to opt for homes in flood-prone areas, thereby increasing their vulnerability to flood risks. Consequently, financial constraints exacerbate this situation, compelling low-income buyers to accept higher flood risks. However, flood experience fosters risk awareness among buyers, encouraging them to steer clear of flood-prone areas, albeit with lesser efficacy among financially constrained individuals.

This research contributes to the understanding of how flood risk and financial limitations shape housing decisions. It highlights the role of flood experience in influencing buyer behavior and emphasizes the need for targeted policies to mitigate flood-related risks in the housing market, particularly among economically vulnerable populations.

Design policy and regulations within our cities can significantly impact the accessibility and social participation of people with disability. Whilst public, wheelchair-accessible bathrooms are highly regulated spaces for this reason, very little is known about how wheelchair users use them or what wheelchair users think of current design standards.

This exploratory inquiry adopts an embodied approach to investigate the perspectives of powered and manual wheelchair users on public bathroom usage and design. The study encompasses twelve interviews, delving into how participants utilise accessible bathrooms based on mobility, disability, support levels, wheelchair types, urinary/bowel regimes and catheter use.

A thorough analysis of individual public bathroom elements (layout, toilet, handwashing and grab rails) discussed in the interviews reveals themes of safety, hygiene, planning/avoidance and privacy and dignity. Strikingly, many wheelchair users invest significant effort in planning for bathroom use or avoid public bathrooms altogether. The ongoing maintenance and regular cleaning of bathrooms, something not captured in regulatory standards, has been highlighted as something of critical importance to the ongoing accessibility and safety of public bathrooms for wheelchair users. This points to a relationship between the design and the maintenance of public bathrooms as influencers of health, well-being, community inclusion and the social participation of people with disability.

This qualitative research is exploratory and contributes to a growing body of evidence that explores how public spaces are experienced by diverse members of our communities, including people with disability. To date, there have been very few investigations into the embodied perspectives of wheelchair users about public bathroom design.

The findings can potentially drive innovative and inclusive approaches to bathroom design regulations that include operational and maintenance guidance.

The research aims to inform design regulations, standards development and practices of designers, architects, facilities managers, developers and planners, ensuring public spaces are designed to support more accessible, inclusive and socially sustainable cities.

Whilst wheelchair-accessible bathrooms have been designed and constructed for public use (in many countries) for many years, we know very little about how wheelchair users actually use them or what wheelchair users think of current design standards.