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Consumers by and large today look for economic growth and benefits without compromising on socio-environmental well-being. Having said that, it is imperative to note that consumers' consciousness may not essentially lead to sustainable purchases. This chapter aims to examine the role of both sustainable purchase intention and post-purchase dissonance in the relationship between consumers' sustainability consciousness and consumers' evangelism. With the increased role of social media pervading our lives, trusted sources' recommendations play a significant role in co-creating products. Thus, research on consumers' evangelism (especially sustainability-conscious consumers) would help marketers develop successful strategies. This study expands to the extant literature on sustainability-conscious consumers vis-a-vis consumer evangelism. We collected responses from 227 respondents to examine hypotheses, by means of structural equation modelling (SEM). The study indicates sustainable purchase intention does mediate the relationship between sustainability-conscious consumers and consumer evangelism. On the other hand, we also note that post-purchase dissonance is not a significant moderating construct between sustainability-conscious consumers and consumer evangelism.

External relational capital is the value created by an organization’s relationships with outside stakeholders, such as customers. This study introduces and examines the concept of sustainable enclothed cognition to support it, aligning rational reasons, personal values and emotions with sustainable clothing choices not only fosters envisioning sustainable learning from a user perspective but also holds the potential to help companies quickly adapt and find alternative solutions, thereby minimizing production impacts on the environment and promising the future for sustainable fashion in the industry.

This study aims to explore how sustainable enclothed cognition, combined with envisioning sustainable learning, can enhance external relational capital in the fashion industry by fostering deeper connections between fashion brands and environmentally conscious consumers. Data collection took place between May and September 2021. A survey of 211 young workers was conducted, and the data were analyzed using partial least squares-structural equation modeling (PLS-SEM).

The findings demonstrate that prioritizing sustainable enclothed cognition can satisfy consumer demands, strengthen customer relationships and enhance competitive positioning in the fashion industry. Furthermore, the study provides actionable strategies for implementing envisioning sustainable learning, highlighting its transformative role in turning consumer alignment into external relational capital. This insight inspires a new perspective on the potential of sustainable learning in the fashion industry.

This research offers a deeper understanding of how companies can strategically manage their external customer relationships by using sustainable enclothed cognition to drive eco-innovation and enhance relational capital in the sustainable fashion industry. Findings support that textile companies provide fresh insights into their innovative capacity by aligning consumer rational reasons, values and emotions with learning practices. The study also underscores the pivotal role of envisioning sustainable learning in embedding sustainability into the core of fashion industry practices, delivering both theoretical and practical guidance on achieving long-term business success through sustainability.

Executive decisions regarding capital financing are an important management aspect, especially during financing constraints and growth opportunities. The current study examines the impact of managerial skills of a company on capital financing decisions. Furthermore, it analyzed this nexus in financing constraints and growth opportunity situations.

The authors use the GMM (generalized method of moments) estimation approach on a dataset of 20,651 firm-year observations of Chinese A-share companies from 2010 to 2019.

The authors’ findings are compatible with management signaling and reputation enhancement theories, since they show that managerial skill is connected with more substantial debt financing. Managers with high management skills are likely to have more debt financing as they can foresee the economic future of their companies and tactfully convey private information, lowering information inequality and enhancing their reputation. Furthermore, the authors also show that firms with restricted financial resources and growth opportunities make this relationship stronger. Capital structure and managerial skill findings are unaffected by alternative specifications, omitted factors, industry group bias and endogeneity.

This study sheds fresh light on the essential manager personality trait of managing ability and how it influences complicated corporate decision-making, particularly in the tough environment due to financing constraints and competitive growth. The authors argue that high-ability managers are compelled to use debt financing not only to lessen information asymmetry but also to guarantee that the market finds their superior ability. This work contributes significantly to the managerial ability literature and the capital structure literature supporting signaling theory.

Recent progress in additive manufacturing methods alleviated manufacturing constraints on devices. Topology optimization (TO) methods can leverage these reduced limitations and this paper aims to study the use of these algorithms in induction heating for injection molding.

In this paper, TO is used to reduce the volume of ferrite in an injection molding tool while aiming at maximizing the performance of the device. Characteristics of the proposed solution such as efficiency and power density are compared to the ones of the original device.

The study shows that it is possible to reduce significantly the amount of ferrite used without impacting the efficiency. The thermal performances of the proposed solution present also slight improvements compared to the original solution.

Optimization algorithms are important for understanding how to design efficient electrical devices. In this paper, the application of TO for injection molding applications presents a new perspective in designing such components.

This study aims to investigate the ecological awareness of Chinese consumers towards fast fashion and examine the effect of social sustainability claims on green brand image and purchase intentions in China, considering China’s unique environmental policy landscape and its significant role in the global fast fashion industry. The study explores the role of altruistic values in promoting sustainability within the well-known fast fashion brand “H” and how they shape brand image, consumer satisfaction and brand equity.

The study collected data from 257 Chinese participants and used a serial mediation model through the PROCESS macro in SPSS to analyse the correlation between green brand image, created through sustainability claims and consumer purchase intentions. The model also assessed the intermediary effects of brand image, satisfaction and equity.

The findings of the research indicate a direct and positive relationship between green brand image and consumer purchase intentions, emphasising the need for clothing and textile industry marketers to strategically promote altruistic values in their sustainability efforts and highlighting the importance of ecological awareness in shaping consumer behaviour in the Chinese context. This approach enhances green satisfaction and green brand equity and ultimately leads to higher green purchase intentions.

This study provides significant insights into the effectiveness of incorporating social sustainability claims in advertising to improve a brand’s green image and influence consumer behaviour. It emphasises the importance of altruistic values in sustainability strategies, offering valuable guidelines for marketers in enhancing green satisfaction and brand equity, thereby boosting consumer purchase intentions in the context of green branding and sustainability advertising. Focussing specifically on the Chinese market, this research sheds light on the impact of ecological awareness among Chinese consumers within the fast-fashion industry. Given China’s substantial role in shaping global fast-fashion production and its evolving environmental policies, this focus adds significant depth to our understanding of sustainability claims’ influence within this crucial consumer base.

This paper aims to analyse how local agri-food systems (LAFS), compared to other production models, can offer innovative responses to the important environmental challenges facing food production under the twin transition. These responses are more conducive to community inclusion and local development.

The paper combines territorial development, clusters and industrial districts literature with studies on agri-food industry environmental problems and twin transition technologies to develop an agri-food systems typology. This typology is based on a territorial approach to environmental challenges of food production and serves to illustrate the ways in which LAFS can provide innovative responses to these challenges.

The study allows to visualise the differences between LAFS and other agri-food production models, showing how the operationalisation and implementation of digitisation occur at territorial level and how rural communities are involved in the process. The theoretical proposal emphasises not assuming that technology is inherently beneficial but ensuring that its implementation is inclusive and generates social value for the communities.

The paper aims to enrich future research by adopting a territorial perspective to study the twin transition challenges associated with food production systems.

Waste classification plays an important role in reducing pollution, promoting waste recycling and resource utilization. This paper aims to explore the multiple reasons that affect the performance of waste classification governance.

Content analysis of the existing waste classification policies is conducted using the Latent Dirichlet Allocation (LDA) model. Based on this analysis, influencing factors are identified through the technology-organization-environment (TOE) research framework. The condition configurations and action paths that cause differences in governance performance are derived using the fuzzy-set qualitative comparative analysis method (fsQCA).

The results show that there are spatial and temporal disparities in waste classification policies among different provinces/cities. In most situations, the implementation effect of policy combinations is better than that of a single type of policy, with mandatory policies playing a key role. Additionally, a single influencing factor cannot constitute the bottleneck of high governance performance. Policy topics coordinate with environmental and technical factors to influence governance performance. Finally, in light of China's actual governance situation, several targeted implications are proposed for the practical optimization of local government waste classification governance.

This paper presents a novel approach by integrating multiple heterogeneous data sources from both online and offline channels, adopting a public-government perspective and applying the fsQCA method to investigate the combined effects of technical, organizational and environmental factors on waste classification governance performance across 31 provinces and cities in China.

This systematic literature review presents the state of the field of fashion and crisis communication. The quantitative coding offers insight into dominant and emergent themes in one of the most crisis-prone industries. This review also offers a framework for future research.

This study uses a systematic literature review approach. 205 academic articles were gathered in total using the search term “fashion industry crisis”. Subsequently, they were quantitatively coded using the Diers-Lawson (2016) Crisis Communication Code Book.

Findings show an increase in the fashion industry crisis with clear emergent themes such as sustainability, emphasising the truly global and multidisciplinary nature of the industry. Findings also reveal a genuine lack of theoretical grounding, with over 80% of the articles coded using no crisis communication theory. The findings also suggest value co-creation ought to be a priority for this agenda moving forward, as it overlaps with emerging themes and is a practical tool and concept to support crisis prevention and management through an extension of the Stakeholder Relationship Model (SRM) Model.

As a largely under-researched area in crisis communication, the findings present a new opportunity to explore fashion within its context and contribute. At this point, the research field is lacking, and there is room for theory testing and hypothesis building. The findings and themes from the research present a development of the original SRM model, SRM Val-Co.

As well as research implications, the proposed framework provides practical solutions for the future of the fashion industry.

As a largely under-researched area in crisis communication, the findings demonstrate a new opportunity to explore fashion within its context and contribute because there is a dearth of research and a lack of theoretical development. Therefore, the proposed framework provides practical solutions for the fashion industry’s future. The findings and themes from the research present a development of the original SRM model, SRM Val-Co.

Manufacturing systems have undergone radical changes because of the implementation of physical and digital innovating technologies with high levels of connectivity, interoperability and autonomy. In this regard, the objective of this study was to investigate whether industrial engineers graduated in recent years in Brazil are prepared or not to work in companies and industries within the scope of Industry 4.0 technologies in a way that they positively contribute to the implementation and management of such technologies.

To achieve these objectives, a literature review and a survey on managers of the industrial sector acting in Brazil were carried out as the research strategies. The data collected were analyzed through a quantitative approach by means of the structural equations modeling method.

The hypothesis that the competencies of industrial engineers currently graduating in Brazil have a positive impact on the implementation and management of Industry 4.0 technologies has been confirmed. Predicting the evolution of production scenarios, understanding the interaction between organizations and their impacts on competitiveness and keeping abreast of technological advancements, organizing them and putting them to the service of business and societal demands were the competencies that obtained the highest factor loadings in the construct of industrial engineer competencies. In addition, cloud manufacturing, automation and robotization were the competencies that obtained the highest factor loadings in the industry 4.0 construct.

The analysis of skills development stands out as a source of competitive advantage for companies that intend to transition to a production system aligned with the principles of Industry 4.0, considering the training of professionals in an emerging economy context.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.