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This study aims to understand the relationship between social audit (SA) and sustainable corporate social responsibility (SCSR). Furthermore, this study will investigate the mediating effect of corporate social innovation (CSI) on the relationship between SA and SCSR and the moderating impact of community participation (CP) on the relationship between CSI and SCSR.

This research was conducted in Odisha, a state in India, with 448 respondents and a response rate of 89%. The convenience sampling technique was used, and questionnaires were prepared in English and translated into regional languages during data collection. Psychological separation and Harman’s single-factor test were used to avoid common method bias. Exploratory factor analysis and confirmatory factor analysis were performed step by step to validate the proposed model.

The current study indicates that SA positively impacts SCSR. Findings from the analysis show that CSI partially mediates the relationship between SA and SCSR. Furthermore, this study indicates that CP moderates the relationship between CSI and SCSR.

This study is one of its kind concerning the variables considered, and it can work as a stepping stone for upgrading the delivery mechanism for corporate social responsibility (CSR) programs, which can solve the fundamental problems faced in society more effectively. It will provide new paths for future researchers to study in the area of audit and CSR.

The purpose of this study is to conduct a comprehensive review of ChatGPT in the education sector. By delving into the published literature, the research aims to uncover the benefits, drawbacks, present applications and prospective uses of ChatGPT for various stakeholders.

The research employs quantitative methodologies. Utilizing the Scopus database, the authors applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to gather data. Additionally, the study includes a bibliometric analysis conducted through the VOSviewer visualization tool and R Studio to achieve the research objectives.

ChatGPT is making a transformative impact on the education sector. A thorough literature review revealed that ChatGPT has several benefits and drawbacks for students and educators. Additionally, the study sheds light on present applications of ChatGPT and explores its prospective uses for its key stakeholders.

PRISMA methodology in systematic reviews faces challenges in handling publication bias and evaluating study quality. Systematic reviews are limited by their inability to comprehensively cover all relevant research and depend on the quality of included studies. Bibliometric analyses may oversimplify research landscapes, neglecting qualitative insights. The research relies on existing literature, introducing potential biases due to varied accessibility. The study’s focus on the Scopus database and time constraints may exclude recent significant studies.

The study has several recommendations for educational institutions, students, educators, administrative staff and ChatGPT service providers. These recommendations collectively aim to provide comprehensive guidance to stakeholders, fostering an environment where ChatGPT can effectively transform the education sector.

This research conducts a comprehensive examination of ChatGPT in the education sector, with a primary emphasis on exploring its prospective uses for students, educators and administrative staff. By highlighting the potential benefits, the study aims to provide key stakeholders with opportunities to leverage ChatGPT for the transformation of the education sector.

Under a rapidly changing and disruptive environment, the need for resilient, sustainable and survival-oriented performances is currently urgent. To deal with these challenges, the reconfigurable capabilities of blockchain technology (BT) can support supply chains (SC) to be resilient and survive during disruptions while maintaining sustainability goals. Through the lens of the dynamic capability view (DCV), this study aims to investigate the impact of adopting the dynamic capabilities of BT to achieve the resilient–sustainable–survival (RSS) paradigm under a disruptive context.

This study follows the DCV to develop theoretical hypotheses and adopts structural equation modeling to examine and analyze the impact of BT’s capabilities on the triple aspects of the RSS paradigm. It uses the partial least squares technique to evaluate the weight of the correlations among the constructs, test the dependencies of its relationships and assess the model’s power for predicting the outcome variables.

Based on the empirical evidence from the manufacturing and assembling SCs, this study provides insights into the interplay of the sensing, seizing and transforming capabilities of BT, and the most needed ones to fit the expectations of the RSS model. It shows that such capabilities can have a significant impact and can be a powerful tool that contributes to the enhancement of the RSS’s aspects in SC networks.

This study represents one of the initial queries to conceptualize the RSS model of the SC within a disruptive context. For researchers, it adds more understanding of the deployment of the DCV in the technology adoption area. For practitioners, it helps identify the capabilities of BT and their potential to fit the expectations for the RSS paradigm.

The main objective of this study is to analyze consumers’ willingness to pay (WTP) for country-of-origin (COO) labels of two processed food products, disentangling the value of information (VOI) that consumers place on COO information from the value they place on specific countries of origin.

A convenience sample of 96 university students completed a face-to-face experiment that included a multiple price list and a discrete choice experiment. Data are analyzed employing interval censored regressions, and random parameter logit models.

Our results indicate that, on average, consumers place a higher value on origin information when a country name is explicitly mentioned. Furthermore, COO information is, on average, more relevant to consumers for products with low involvement than for products with high involvement. Finally, the effect of ethnocentrism is heterogeneous across product categories.

Mandatory COO labeling may or may not reinforce domestic bias, depending on the rationale behind consumer support. If consumers are driven by blind ethnocentrism, it may lead to market inefficiencies. However, if they use COO as a cue to align their stated preferences with their choices, it will not. For this alignment to occur, consumers must be fully informed about product attributes, which requires new and smart methods of communicating product attributes.

The present study contributes to the literature on COO food labels, being the first in Italy to disentangle the VOI consumers place on origin information itself from the value they place on specific countries of origin. In addition, it is the first study that applies this methodology across different product categories, each of which has a different level of cultural sensitivity to consumers.

This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.

This study delves into 17th-century colonial port cities – Madras, Bombay, and Calcutta – examining the impact of British imperialism on urban sustainability and heritage conservation. It explores historical development, spatial organization, and connectivity.

This study intricately explores the interplay among urban sustainability, morphology, and heritage conservation using space syntax analysis. It focuses on examining White and Black Town dispersion during British imperialism.

The investigation reveals varying degrees of dispersion of White and Black Towns, with Calcutta exhibiting the most consistent distribution among the three cities. These findings underscore the profound influence of British imperialism on the spatial organization of colonial port cities, offering valuable insights into their historical evolution and layout.

While this study provides valuable insights, it is limited by its focus on the colonial period and the specific cities of Madras, Bombay, and Calcutta. The findings may not be directly generalizable to other contexts or time periods. Additionally, the study’s reliance on historical data sources may present data accuracy and completeness challenges.

This study contributes to understanding colonial port cities, guiding sustainable urban development, heritage preservation, and equitable resource access for global sustainability. By focusing on the historical impact of British imperialism, the research provides original insights into the spatial dynamics of these cities, contributing to the broader discourse on urban sustainability and heritage conservation.

Elderberry (Sambucus nigra) fruits are rich in bioactive components, specifically in anthocyanins. In this study, freeze-dried and powdered elderberry fruits were added to milk, yoghurt and kefir samples at ratios of 5, 10 and 15% (w/w) to fortify these dairy products at home scale, and final products were monitored to understand the behaviour of bioactive compounds.

The action of bioactive compounds was examined before and after in vitro gastrointestinal digestion by the analysis of total anthocyanin content, total phenolic content and antioxidant activity assays as well as the HPLC-PDA system on the first day of preparation. Moreover, the effect of three days of storage on individual phenolic compounds was evaluated.

Kefir samples exhibited the highest total anthocyanin content levels among prepared products (255±4-702±65 µmol cyanidin-3-glucoside eq/100 g), which is followed by yoghurt samples. Individual phenolics in samples prepared at the same concentrations behaved almost similarly with each other during gastric digestion phases (p > 0.05), whereas intestinal digestion phases caused significant differences, and phenolics in yoghurt samples exhibited higher values than others (p < 0.05). The stability of bioactive compounds in samples tended to decrease during storage; however, as observed during gastrointestinal digestion, yoghurt and kefir samples provided better matrices than milk to maintain the presence of bioactive compounds (p < 0.05).

Previous studies have indicated that elderberry fruits contain high levels of bioactive compounds, and these fruits have been used to fortify different food matrices. However, this research paper investigates the interaction between three selected dairy products and elderberry powder with each other for the first time.

This study investigates antecedents determining the inclination to engage in future environmental entrepreneurial activities. Building on passion research and social cognitive theory, the authors explore the role of environmental passion for environmental entrepreneurial intention, drawing attention to the mediating role of environmental self-efficacy.

A regression-based path analysis for mediation to test the developed hypotheses on a sample of 139 young individuals is applied.

The results demonstrate a significant positive effect of environmental passion on environmental entrepreneurial intention. The mediation analysis shows a positive direct and indirect effect of passion on intention, concluding that self-efficacy is a partial mediator. The results further suggest that environmental entrepreneurial intention is related to gender. In contrast, covariates like age, entrepreneurial exposure and entrepreneurship education have no significant effect.

The results have implications for practitioners and policymakers who aim to further entrepreneurship for environmental sustainability. It underlines the need to take emotional antecedents seriously, suggests policy for creative and interdisciplinary education with respect to its challenges and emphasizes the roles of teachers in fostering passion.

The results provide a deeper contextualized understanding of passion, self-efficacy and intention in environmental entrepreneurship. These results offer an original perspective of entrepreneurship as a conduit to channel energy, concerns and passionate interests in the natural environment. The study presents theoretical implications for passion theory by extending sources of passion and clarifying the direction of self-efficacy in entrepreneurship.

This study aims to understand the current production scenario emphasizing the significance of green manufacturing in achieving economic and environmental sustainability goals to fulfil future needs; to determine the viability of particular strategies and actions performed to increase the process efficiency of electrical discharge machining; and to uphold the values of sustainability in the nonconventional manufacturing sector and to identify future works in this regard.

A thorough analysis of numerous experimental studies and findings is conducted. This prominent nontraditional machining process’s potential machinability and sustainability challenges are discussed, along with the current research to alleviate them. The focus is placed on modifications to the dielectric fluid, choosing affordable substitutes and treating consumable tool electrodes.

Trans-esterified vegetable oils, which are biodegradable and can be used as a substitute for conventional dielectric fluids, provide pollution-free machining with enhanced surface finish and material removal rates. Modifying the dielectric fluid with specific nanomaterials could increase the machining rate and demonstrate a decrease in machining flaws such as micropores, globules and microcracks. Tool electrodes subjected to cryogenic treatment have shown reduced tool metal consumption and downtime for the setup.

The findings suggested eco-friendly machining techniques and optimized control settings that reduce energy consumption, lowering operating expenses and carbon footprints. Using eco-friendly dielectrics, including vegetable oils or biodegradable dielectric fluids, might lessen the adverse effects of the electrical discharge machine operations on the environment. Adopting sustainable practices might enhance a business’s reputation with the public, shareholders and clients because sustainability is becoming increasingly significant across various industries.

A detailed general review of green nontraditional electrical discharge machining process is provided, from high-quality indexed journals. The findings and results contemplated in this review paper can lead the research community to collectively apply it in sustainable techniques to enhance machinability and reduce environmental effects.