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This study aims to investigate the factors influencing consumer attitudes towards purchasing sustainable fashion. In particular, the authors examine the impact of self-transcendence and self-enhancement values on consumer attitudes towards purchasing sustainable fashion. The authors also examine the enablers (environmental concern, durability and fashion leadership) and barriers (fashion consciousness and price sensitivity) of sustainable fashion purchase behaviour.

The authors used a Web-based self-administered survey to collect data from 350 millennials. Partial least squares structural equation modelling was used to analyse data.

The findings indicate no substantial impact of self-transcendence values on attitudes towards sustainable fashion – while self-transcendence values exerted a notable effect on sustainable purchasing behaviour and environmental concerns. Furthermore, the results revealed no relationship between individuals’ attitudes towards sustainable fashion and their purchasing behaviour, whereas a strong relationship has been established between environmental concerns and attitudes towards sustainable fashion.

It provides empirical insights into factors that are pertinent in understating barriers and drivers of sustainable fashion behaviour among millennials.

This study uses the value-attitude-behaviour hierarchy to understand the purchase intentions of sustainable fashion, extending the range of sustainable consumption factors associated with attitudes and behaviour gaps.

This study investigates the determinants of eco-buying behavior by incorporating individual attributes such as personality traits and personal values and the theory of planned behavior (TPB). It also explores status consumption’s potential role in motivating eco-fashion purchases.

Conducted through an online survey with 436 respondents in the UK, the study utilizes structural equation modeling (SEM) to analyze the data.

The study contributes to the eco-friendly consumer behavior literature in fashion, revealing that social influence, need for uniqueness, public self-consciousness, green consumption values and prosocial attitudes significantly influence both eco-behavior and status consumption. Interestingly, while no substantial impact of status consumption on eco-behavior was observed overall, a multi-group analysis unveils distinctive perceptions and intentions. A clustering analysis identifies two significant segments (status buyers and eco-savvy fashionistas) exhibiting markedly different relationships between variables necessitating tailored marketing approaches concerning eco-fashion buying.

Theoretically, the study highlights the limitations of the TPB in capturing evolving consumer dynamics, calling for refined models that incorporate personal values and specific motivations to better understand sustainable consumption.

For “Status Buyers,” marketers should focus on their desire for uniqueness and present eco-fashion as a status symbol using social proof and influencer marketing. For “Eco-Savvy Fashionistas,” strategies should highlight environmental benefits, provide educational resources and offer tools to track environmental impact.

This study deepens our understanding of eco-friendly fashion purchases by accounting for the diverse perceptions and values that drive consumer behavior. Recognizing the heterogeneity within the sample reveals previously overlooked nuances in this complex decision-making process.

This study aims to assess the knowledge of Amhara Sayint district community in Northeastern Ethiopia towards the health impacts of climate change.

A community-based cross-sectional study was conducted from 20 July to 5 September 2022, involving 605 randomly selected households in Amhara Sayint district, Northeastern Ethiopia. Data were collected through face-to-face interviews using a pilot-tested and content-validated questionnaire administered via Kobo Collect survey tool. The data were then exported to STATA for management and analysis. A proportional odds approach of ordinal logistic regression model was fitted with a 95% confidence level to identify factors associated with the community’s knowledge towards the health impacts of climate change.

Of the total respondents, 3.47% (95% confidence interval [CI]: 2.1, 5.3) and 42.98% (95% CI: 38.9, 47) had inadequate and medium levels of knowledge towards the health impacts of climate change, respectively. Proportional odds model analysis result indicated that gender (female) (adjusted odds ratio [AOR] = 1.49; 95% CI: 1.053, 2.13), wealth status (poorest) (AOR = 1.97; 95% CI: 1.01, 3.83), educational status (unable to read and write) (AOR = 4.13; 95% CI: 1.25, 13.68) and participation status in environmental protection activities (not) (AOR = 1.78; 95% CI: 1.17, 2.71) were factors that significantly associated with inadequate and medium levels of knowledge towards the health impacts of climate change.

The result of this research is not supported by qualitative methods.

Residents of the study area know the climate is changing; however, they lack adequate knowledge towards the health impacts of climate change.

Significant number of people have inadequate level of knowledge about health impacts of climate change so relevant health education is needed.

This research is original in its focus on assessing public knowledge about the health impacts of climate change in the Amhara Sayint district, northeastern Ethiopia, a perspective often overlooked in existing studies. Its findings are crucial for guiding future research and developing targeted public health strategies and educational initiatives.

Mental health inequalities based on race and ethnicity in the USA and globally persist despite efforts to address them. The COVID-19 epidemic accentuated these inequalities and demonstrated the extent to which they are linked to social determinants. However, the organizations that are best placed to ameliorate mental health inequalities are often underfunded and under-resourced. Investment strategies that restrict funding for programmatic costs rather than general operating costs often disproportionately impact small organizations that serve communities of color. This study aims to argue that effectively addressing mental health inequalities requires investing in these organizations by applying the lessons learned from implementation science.

This study demonstrates how organizational factors such as leadership, supervision and organizational culture and climate are key to programmatic success and how implementation strategies can target these factors. As promoting health equity is increasingly recognized as a priority outcome for implementation science research, these organizational approaches can inform funders on how to support small organizations that serve marginalized communities, giving them the capacity and flexibility to address mental health inequalities.

This paper applies the findings from implementation science to consider how best to support mental health organizations, particularly those well suited to serving the mental health needs of diverse communities.

This study aims to examine the effects of the characteristics of apparel professionals on their attitude toward sustainability-related technology in the context of a developing country, Bangladesh.

A quantitative approach was used to investigate the apparel professionals’ perception of sustainability-related technology. A survey was conducted, and 204 valid responses were used in data analysis. The structural equation modeling technique was used to analyze the data.

The findings demonstrate that apparel professionals’ personal innovativeness positively impacts their knowledge of apparel technology. Knowledge of apparel technology and environmental issues in apparel manufacturing both significantly and positively impact their level of awareness of sustainability-related technology in apparel manufacturing. The findings also suggest that managers’ level of awareness of sustainability-related technology has a significant positive impact on their attitude toward sustainability-related technology.

Fishbein’s attitude theory was applied to examine how the various characteristics of apparel professionals (i.e. personal innovativeness in technology, knowledge of apparel technology, knowledge of environmental issues of apparel manufacturing) affect their awareness of and attitude toward sustainability-related technology. This study expands our understanding of the causal flow among cognitive variables of apparel professionals, including their innovativeness, knowledge, awareness and attitudes. The findings of the study can be helpful to the apparel industry to improve apparel professionals’ adoption of sustainable technology.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.

The scholarly discourse concerning the significance of relational embeddedness within multinational corporation (MNC) subsidiaries has reached a stage of maturity, albeit with fragmentation. In light of this, this paper aims to delineate hot topics that can serve as a promising research trajectory for future investigations into the phenomenon of relational embeddedness in MNC subsidiaries.

Through a systematic literature review, the authors examined 66 articles published between 1998 and 2022, sourced from two prominent databases: Scopus and Web of Science. To ensure the rigor of the investigation, the authors specifically focused on articles published in journals accredited with a minimum two-star rating according to the ABS (2021) criteria.

In the systematic review, the authors delineated four principal themes addressed in the literature concerning subsidiaries and relational embeddedness. Within these themes, the authors identified five underexplored research avenues that hold promise for future studies on relational embeddedness within the context of subsidiaries: (a) the question of the dark side of relational embeddedness, (b) the development of a global construct for relational embeddedness, (c) understanding how the social factors of relational embeddedness relate to each other, (d) the gains that local partners have in developing relational embeddedness with subsidiaries of foreign MNCs and how this relationship is moderated by the institutional environment and (e) the impact of internal.

While this study drew upon two major databases, future researchers are encouraged to explore alternative repositories to ensure the thoroughness of the findings. Another limitation of this study pertains to the chosen set of keywords, which did not encompass literature on innovation collaboration or knowledge flows within foreign subsidiaries. These areas are interconnected with the knowledge management literature and relational embeddedness, warranting attention in future investigations.

The managerial insights cater to two distinct cohorts: multinational subsidiary managers, equipping them with insights into leveraging relational strategies effectively and managers of partner companies, facilitating informed decision-making in optimizing access to subsidiary knowledge and resources.

In addition to facilitating the consolidation of fragmented literature, this study has identified five theoretical gaps that remain insufficiently explored within research utilizing the relational embeddedness framework in the context of MNC subsidiaries. Consequently, this research serves as an inaugural step for future investigations, elucidating specific avenues ripe for further exploration in the field.

Increased urbanization has resulted in physical environments, including servicescapes, dominated by functional designs, with nature’s presence becoming scarcer. While “biophilia” designs have received attention in fields like environmental psychology and architecture, studies on biophilia in servicescapes remain scant, fragmented and often contextual. The purpose of this study is to do a semi-systematic review of studies on biophilia in physical servicescape designs (interior and exterior), identify prevailing critical gaps and develop a comprehensive framework for theory advancements in biophilic servicescapes.

Drawing from a critical review of 56 servicescape studies over 33 years and incorporating theoretical frameworks from environmental psychology, this paper introduces a typology of biophilia in physical servicescapes that includes direct, indirect and human–nature relationships. Furthermore, this study develops a conceptual framework using the Stimulus-Organism-Response model to systematically synthesize biophilia’s overall applicability in servicescapes for consumers and service employees, incorporating moderating factors related to service, servicescape and user types.

This review investigates the emergence and definition of biophilia in servicescapes, examines the benefits of biophilic design for consumers and service employees and highlights key design strategies. In the absence of robust frameworks to assess biophilia’s impact on consumer and employee responses, this paper presents a comprehensive framework and offers guidelines for future research in retail environments and servicescapes.

Drawing from the synthesis of research on biophilia in servicescapes, this study introduces a framework that demonstrates how antecedent variables, including both direct and indirect biophilic elements, foster human–nature relationships that lead to affective, cognitive and behavioral responses. These effects are moderated by situational factors (e.g. service and servicescape types) and individual differences (e.g. personality, values and nature-relatedness). Ultimately, these responses influence approach or avoidance behaviors in consumers and employees, with a taxonomy detailing responses aligned with biophilia.

This article specifies the theoretical influence of future time perspective (FTP) on the behavior of the parties involved in organizational dispute resolution processes.

This study employed a novel qualitative systematic reinterpretation methodology. A software-assisted qualitative content analysis for the systematic reinterpretation of 141 academic publications on organizational conflicts, dispute resolution, and dispute system design processes was performed to elicit crucial points at which FTP that was not originally specified is theoretically emerged in those processes.

The sorted findings detail 829 critical points (themes) in those processes where FTP has theoretically emerged. The results confirm that FTP has a comprehensive theoretical presence (81.3%) in the discourse on organizational conflicts, dispute resolution and dispute system design processes. Furthermore, when the relevant parties’ FTP is operative, their conflict prevention approach is widespread, and the parties perceive workplace relationships and dispute resolution processes as dominant.

The novelty of this study is related to its effort to identify and diagnose theoretical situations within the discourse on organizational dispute resolution processes in which the effect of FTP (either positive or negative) on the present-time behavior of parties within those processes is demonstrated. This work addresses this issue through unique qualitative systematic reinterpretation, which differs from other types of research syntheses of secondary data.

The purpose of this paper is to provide an in-depth analysis of the challenges associated with using artificial intelligence (AI) in academic research and suggest various preventive measures that can be taken to address these issues and transform them into opportunities.

To develop measurement items and constructs, the authors collected 248 responses through an online survey. These responses were then used to establish the structural model and determine discriminant validity through the use of structural equation modeling with SmartPLS 4.0.9.9. Additionally, the authors used SPSS (Version 29) to create graphs and visual representations of the challenges faced and the most commonly used AI tools. These techniques allowed them to explore data and draw meaningful conclusions for future research.

This research shows that AI has a positive impact on higher education, improving learning outcomes and data security. However, issues such as plagiarism and academic integrity can destroy students. The study highlights AI’s potential in education while emphasizing the need to address challenges.

This paper emphasizes the preventive measures to tackle academic challenges and suggests enhancing academic work.

This study examines how AI can be used to personalize learning and overcome challenges in this area. It emphasizes the importance of academic institutions in promoting academic integrity and transparency to prevent plagiarism. Additionally, the study stresses the need for technology advancement and exploration of new approaches to further improve personalized learning with AI.