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Although several researchers have statistically analyzed references associated with education for sustainable development based on the co-citation frequency, evolutionary analysis based on high-citation references omits literature with low citation frequency, which has a significant impact on the evolution of a discipline. The purpose of this study is to understand and explore the historical processes and roots of the field of education for sustainable development and to understand the theoretical grounding of the field.

Based on education for sustainable development publications in the science citation index expanded and social sciences citation index databases from 1992 to August 2020, a new bibliometric method, reference publication year spectroscopy, was adopted to conduct a bibliometric analysis of the 58,588 cited references in 1,778 publications.

The earliest reference in the field of education for sustainable development traces back to 1732. There were 21 peaks in this field between 1732 and August 2020. Dewey’s “new three-center theory”; Bloom’s “taxonomy”; Freire’s “conscientization theory”; the “theory of planned behavior”; Kolb’s “experiential learning theory”; Wittgenstein’s theoretical concepts of “language-games,” “forms of life” and “rule-following” and Leopold’s “land ethics” laid an early theoretical grounding of educational philosophy and environmental ethics for research into education for sustainable development. The new environmental paradigm and the new ecological paradigm have become the most widely used methodological tools for understanding the values and attitudes of people toward the natural environment. Among the 50 most cited references, Lozano and Wals have published the most publications, contributing to promoting the development of research into education for sustainable development. The Journal of Cleaner Production, International Journal of Sustainability in Higher Education and Environmental Education Research have published the most publications related to the field of education for sustainable development.

The findings of this study are helpful for scholars and practitioners to understand the academic ideological roots, theoretical grounding and important influential literature in the field of education for sustainable development.

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.

We develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.

The empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.

This study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

The suppliers of experimental resources required in megaprojects are driven by short-term interests, presuming that participation in the digital platform would only increase their inputs and fail to rapidly expand their revenue, resulting in their insufficient motivation to participate. This paper aims to design effective incentives for these suppliers exhibiting the aforementioned behaviour to drive them to participate and actively share their resources on the platform.

This paper develops incentives for applying the digital platform for experimental resource sharing by using a reverse induction approach to model and solve an incomplete information game. It compares the traditional experiment management mode and the new mode of applying the digital platform, taking the degree of sharing experimental resources on the platform as the variable and constructing three incentive models. By analysing these different degrees of sharing and the different experimental and informatisation capabilities of the suppliers, it could obtain the optimal incentive scheme for changes in sharing behaviour.

The results show that the designed incentives could increase the participation of suppliers in the platform and the number of their shared resources and make the benefits of both the supplier and the demand side reach the optimal state of a win-win situation. However, a higher degree of sharing by suppliers does not yield better results. In addition, the incentive coefficients for this degree should be set based on the suppliers’ different experimental and informatisation capabilities and the ratio of input cost-sharing, so as to avoid blind inputs from both supply and demand.

This study fills the research gap regarding incentives of the digital platform of experimental resource-sharing for megaprojects; it contributes to the body of knowledge by providing a quantitative perspective of understanding the experimental resource-sharing behaviour that motivates the usage of the digital platform. Furthermore, it reveals the incentive mechanism for application in different scenarios, and quantitative analysis is conducted to provide practical insights into promoting the new experiment management mode in megaprojects for more effective incentivisation.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

The purpose of this study is to investigate reporting incentives for accounting conservatism in the context of asset and equity tunnelling and to provide empirical evidence that accounting conservatism can be reported for opportunistic reasons rather than efficiency reasons.

A cross‐sectional analysis of data from the period 2002 to 2004 is conducted.

This study provides empirical evidence that firms undertaking asset or equity tunnelling transactions report higher conservatism than firms undertaking other kinds of connected transactions. Further tests document a positive association between accounting conservatism and the private benefits gained by controlling shareholders from asset and equity tunnelling.

Contrary to the prevalent view that accounting conservatism signifies better quality accounting and benefits financial statement users, this study shows that accounting conservatism is influenced by institutional factors and the incentives of financial statement preparers. Researchers should exercise caution in interpreting higher accounting conservatism as an indication of better accounting information quality, especially in cross‐country research involving different institutions.

In order to accurately forecast nonlinear and complex characteristics of solar power generation in China, a novel discrete grey model with time-delayed power term (abbreviated as TDDGM(1,1,tα) is proposed in this paper.

Firstly, the time response function is deduced by using mathematical induction, which overcomes the defects of the traditional grey model. Then, the genetic algorithm is employed to determine the optimal nonlinear parameter to improve the flexibility and adaptability of the model. Finally, two real cases of installed solar capacity forecasting are given to verify the proposed model, showing its remarkable superiority over seven existing grey models.

Given the reliability and superiority of the model, the model TDDGM(1,1,tα) is applied to forecast the development trend of China's solar power generation in the coming years. The results show that the proposed model has higher prediction accuracy than the comparison models.

This paper provides a scientific and efficient method for forecasting solar power generation in China with nonlinear and complex characteristics. The forecast results can provide data support for government departments to formulate solar industry development policies.

The main contribution of this paper is to propose a novel discrete grey model with time-delayed power term, which can handle nonlinear and complex time series more effectively. In addition, the genetic algorithm is employed to search for optimal parameters, which improves the prediction accuracy of the model.

This study investigated the influence of teachers on undergraduate students’ development of research aspirations and the mechanisms behind this process.

Employing social cognitive career theory, the study gathered data from 232 undergraduates, developed a structural equation model via the maximum likelihood method and executed empirical testing.

The findings reveal that neither direct nor emotional mentoring independently satisfies students’ needs for self-efficacy and aspiration in research nor significantly influences research interest. Specifically, the study demonstrates that (1) research self-efficacy, outcome expectations and research interest significantly shape research aspirations; (2) an overemphasis on direct mentoring might impede research aspiration development and (3) a focus on emotional mentoring, while overlooking direct mentoring, could result in diminished research self-efficacy.

This research pioneers a comprehensive analysis of the role of teachers in shaping undergraduate research aspirations through the lens of social cognitive career theory. It underscores the critical need to both balance mentoring approaches and foster intrinsic research motivation.

The pandemic has accelerated the use of virtual learning spaces and led to rethinking post-pandemic course delivery. However, it remains unclear whether students’ online engagement in e-servicescapes can influence attachment to a place, i.e. a physical servicescape. This study conducted an exploratory study to inform place attachment and actor engagement literature in an online service context.

Quantitative survey design was used and 98 usable responses were collected from undergraduate and postgraduate students at a major New Zealand university during the COVID-19 pandemic in 2020. The questionnaire consisted of 23 items relating to three dimensions of online student engagement and 19 items referring to six dimensions of campus attachment.

Results of the exploratory study indicate that classmate community in online lectures, referring to student–student interactions, can positively influence five of the dimensions of campus attachment, including place identity, place dependence, affective attachment, social bonding and place memory, even though students are physically not on campus. However, it cannot influence place expectation. Moreover, instructor community (student–instructor interaction) and learning engagement (student–content interaction) in online lectures have insignificant impact on campus attachment.

This study emphasises the social dimension when interacting in e-servicescapes. Person-based interactions are more influential than content-based interactions for student engagement. Educational service providers should integrate the e-servicescape and the physical servicescape by encouraging more student–student interactions to contribute to service ecosystem well-being at the micro, meso and macro levels.

This study indicates that customer-to-customer interaction serves to integrate customer engagement across the digital and physical realms for process-based services like education.

To investigate the impact of cognition, emotion and other factors on positive customer engagement behaviors and to identify the differential formation processes and dynamic changes in these behaviors.

We used cognitive appraisals and coping theory as well as justice theory, to analyze comment data from the Xiaomi Community with natural language processing and binary logistic regression.

Our results indicate that cognition and emotion are unnecessary for positive customer engagement. Users expressing different cognitions and emotions exhibit varied positive engagement behaviors. The behavioral dimension was the most frequently combined, followed by the affective and cognitive dimensions. Managers should adopt material or spiritual incentives to encourage users with positive emotions and cognition to become loyal. Additionally, addressing comments with distributive justice cognition can promote positive customer engagement.

This study clarifies the complex interplay between cognition, emotion and customer engagement behaviors, providing actionable insights for brand managers to foster customer loyalty and positive customer engagement.

To have a better understanding of the heat transfer mechanisms in a sleeping bag and to investigate the factors influencing thermal resistance of a down sleeping bag.

The mechanism of heat transfer in a sleeping bag was discussed in this paper. The thermal resistances of 24 samples were investigated. Besides, the relation between fill weight and thermal resistance, and that between the air permeability of fabric and thermal resistance, as well as that between down filling rate and thermal resistance were analyzed.

The results showed that thermal resistances of samples varied from 0.35 to 0.8 m² K/W. The fill weight was the most important factor of thermal resistance of sleeping bag and the relation between fill weight and thermal resistance matched well with cubic function. A multiple regression formula was proposed, which with thermal resistance as a dependent variable and with air permeability of fabric, down filling rate, fill weight as independent variables.

Thermal properties of a sleeping bag were analyzed through simplified basic unit under simplified environment conditions, which was necessary for building the first stage of systematic study of thermal performance of a sleeping bag.