Search results

This study aimed to investigate the collective effects of bending load and hygrothermal aging on glass fibre-reinforced plastics (GFRP) due to the fact that stress and water absorption is inevitable during GFRP applications.

The water boiling method was used to study the moisture absorption, desorption behaviour and evaluate the performance of GFRP laminates under loading in this article. The moisture diffusion of laminates is characterized in three aging conditions (25°C, 45°C and 65°C water), along with three levels of bending load coefficients (0, 0.3 and 0.6). The moisture diffusion coefficients are determined through the curve fitting method of the experimental data of the initial process, based on the Fickian diffusion model. Moreover, the laminates’ performance is further discussed after adequate environmental aging and loading.

It was found that moisture absorption is promoted by the presence of bending load and boiling during this study. The absorption diffusion coefficient and moisture equilibrium content of the specimens increased with an increasing loading ratio and temperature. The bending strength of the laminate varied according to a contrary trend. Furthermore, the desorbed moisture content is found to be much higher after higher levels of bending load because it is harder to desorb the moisture in the interfaces and micro cracks.

Collective effects of bending load and hygrothermal aging promote the absorption and result in accelerating property degradation of GFRP. It is significant to focus on these effects on the failure of GFRP.

A novel unit was designed to simulate the various loading acted on containers in this work.

The purpose of this paper is to clarify the impact mechanisms and weighting factors of environmental, social and governance (ESG) practices on corporate value through bibliometric analysis and core interpretation of existing literature, further explore whether and under what conditions ESG practices contribute to the corporate value creation, and provide an outlook on future research directions.

Bibliometric method is used to analyze literature co-citation, burst detection and keyword co-occurrence, and literature review method is used to condense important ideas from the existing literature.

Through the review, analysis and summary of the existing literature, this paper finds that the perspectives of risk, information and strategy reflect the key pathways through which ESG practices play a role in avoiding harm and creating value for companies directly or indirectly. Macro, meso and micro factors moderate the direction and extent of the impact. Moreover, considering the relationship between ESG performance and ESG disclosure is key to understanding some contradictory findings.

The search terms limit the articles considered, and therefore, the research framework may be incomplete. Moreover, this article is primarily aimed at the research field and lacks guidance at the practical level.

This paper helps the academic community to deepen its understanding of ESG, moving beyond the question of whether ESG is linked to corporate value to further understand why and under what conditions ESG practices create value for firms.

This paper has great practical significance in motivating companies to actively participate in ESG practices.

The theoretical framework in this paper reveals the black box between enterprise ESG practices and value creation, and clarifies the research boundary of “the relationship between ESG practices and value creation,” contributing to the future research in this field.

As the scale of mega transportation infrastructure projects (MTIs) continues to expand, the complexity of engineering construction sharply increases and decision-making sustainability faces severe challenges. Decision-making for mega transportation infrastructure projects unveils the knowledge-intensive characteristic, requiring collaborative decisions by cross-domain decision-makers. However, the exploration of heterogeneous knowledge fusion-driven decision-making problems is limited. This study aims to improve the deficiencies of existing decision-making by constructing a knowledge fusion-driven multi-attribute group decision model under fuzzy context to improve the sustainability of MTIs decision-making.

This study utilizes intuitionistic fuzzy information to handle uncertain information; calculates decision-makers and indicators weights by hesitation, fuzziness and intuitionistic fuzzy entropy; applies the intuitionistic fuzzy weighted averaging (IFWA) operator to fuse knowledge and uses consensus to measure the level of knowledge fusion. Finally, a calculation example is given to verify the rationality and effectiveness of the model.

This research finally constructs a two-level decision model driven by knowledge fusion, which alleviates the uncertainty and fuzziness of decision knowledge, promotes knowledge fusion among cross-domain decision-makers and can be effectively applied in practical applications.

This study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers.

While government is known to provide political guidance and exercising its executive function, it is also has regulatory powers through laws it enacts. In fostering sustainability, it is important to inquire how government's role can be innovated to facilitate sustainability, particularly in the travel and tourism industry. By reviewing tourism governance literature and mapping governance roles in the travel and tourism industry, this chapter creates a policy framework that underscores a new approach to tourism governance. We underscore that government's role must pivot toward being more developmental than regulatory so that it can effectively stimulate the market to sustainability by fostering value creation, supporting manpower capacitation, ensuring health and safety, and protecting the environment. This can be done if government will not fix the market and promote free market policymaking.

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.

The purpose of this study is to examine the dimensionality of relational benefits in public bike sharing (PBS) and explore the mediating role of user satisfaction and engagement on the linkage between relational benefits and continuance intention.

This study used a mixed method approach. Data were collected using convenience sampling technique from 411 users of PBS in Bhubaneswar, India. In the first part of the study, in-depth interviews were conducted to identify a set of relational benefits for scale development. In the second part, CB-SEM was used to establish the reliability and validity of the scale and test the hypotheses linking relational benefits with user satisfaction, engagement and continuance intention.

The analysis suggests that relational benefit is a second order construct having five distinct yet related dimensions namely economic, convenience, environmental, identity related and health and safety benefits. Also, the impact of relational benefits on continuance intention is positively and significantly mediated through user satisfaction and engagement.

This study is conducted in only one Indian city and is limited to PBS, which, is one of the elements of green transportation and does not cover other modes of transportation. Therefore, generalization of findings beyond this region and the mode of transportation should be done with caution.

This study contributes to the extant management literature by examining the mediating role of user satisfaction and engagement on the linkage between relational benefits and continuance intention which is an unexplored area of research. The study adds to existing knowledge by exploring the dimensionality of relational benefits in PBS context.

Given the severe impact of coronavirus disease 2019 (COVID-19) on bank business activities, this study aims to examine how green brand image and online trust affect customers' continuance intention (CI) under the boundary condition of perceived effectiveness of e-services (PEES).

An extensive review of the green marketing perspective was conducted to identify the incremental contributions of the current study (e.g. extensions of online trust and PEES). The authors used the common questionnaire survey strategy for the data collection while applying the partial least squares technique for further analyses.

Using data from 460 bank customers, the findings indicated that online trust positively mediates the relationship between green brand image and CI under the moderating effect of PEES. At high levels of PEES, online trust exerts strongest effect on customers' CI.

This study responds to the emerging call for understanding the PEES role, under which online trust leads to CI in the context of the global pandemic.

The authors provide bank managers with a helpful extension of green marketing with PEES to manage online trust and customer intention, thereby increasing the managers' strategic effectiveness.

The current study explores the moderating role of PEES that plays in the green brand image, online trust and CI relationships, in responding to the pandemic situation.

In the digital age, emerging technologies have affected every industry. Information and communications technology and digital technologies have transformed traditional supply chains into smart and more resilient ones, enabling effective management of challenges. Given the importance of the two topics, namely sustainable supply chain management and Industry 4.0 in supply chain management, on the one hand, and the dearth of theoretical research performed in this area on the other, this study aims to propose a conceptual model on a sustainable digital supply chain management in manufacturing companies.

This study utilized a qualitative approach. First, an in-depth review of the relevant literature was done. Then, following a multi-grounded theory methodology, relevant data were gathered by reviewing 92 papers and conducting nine semi-structured interviews with industry experts. These data were analyzed using the MAXQDA software.

A total of 41 concepts, ten sub-components and three main components (dimensions) were extracted, and the proposed conceptual model was presented. Finally, based on this conceptual model, three propositions were suggested.

Considering that the present study was performed in the context of Iranian manufacturing companies, caution should be exercised in relation to the generalizability of the obtained results. Also, due to the problems in the digital technology infrastructure and the limited use of these technologies by manufacturing companies (emphasized by the interviewees), this study focused on the theoretical dimension of using digital technologies by these companies.

The proposed comprehensive model can help academicians as well as practitioners to focus better and explore the variables and constructs of the model, paving the way toward successful implementation of digital technologies in the manufacturing supply chain.

To the best knowledge of the authors, this study is among the first of its kind which presents a holistic and comprehensive digital supply chain model aimed at guiding companies to consider sustainability from all the main dimensions and their relevant indicators.