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This study examines the association between financial education and budgeting behavior among college students. Under the guidance of the extended theory of planned behavior, we use a comprehensive measure of budgeting behavior and explore mediating factors between financial education and budgeting behavior.

Financial education was measured by both frequency and intensity of taking courses in finance and economics in college. Data from a sample of college students across China were analyzed using structural equation modeling and serial mediation analysis to explore the mediating roles of attitudes, subjective norms, perceived control and budgeting intentions in this relationship between financial education and budgeting behavior.

Budgeting intentions alone did not mediate the relationship between financial education and budgeting behavior. However, the serial mediation involving attitudes, subjective norms and budgeting intentions was significant.

The findings of this study have significant implications for financial educators, universities, governments and families. Financial educators should prioritize budgeting in curricula and aim to enhance students’ budgeting attitudes and intentions. Universities should enhance their financial education offerings, while governments and families should foster supportive environments and positive norms and attitudes around budgeting.

This research contributes a nuanced measurement of budgeting, analyzes the link between financial education and budgeting behavior among college students and highlights the roles of various components of the theory of planned behavior. It extends the theory by identifying how financial attitudes, subjective norms and budgeting intentions mediate the relationship between financial education and budgeting behavior.

This study aims to examine the association between mobile payment usage and financial anxiety and explore the mediating role of financial behavior. Moreover, this research also compares the moderating effects of financial education and financial knowledge.

A sample of 18,584 consumers from the 2021 National Financial Capability Study in the USA was analyzed. Structural equation modeling (SEM) was employed to explore indirect associations between mobile payment usage and financial anxiety. Two undesirable financial behaviors, overspending and overindebtedness, were used as mediators between mobile payment and financial anxiety. Moreover, multi-group analyses were conducted for two financial knowledge groups and two financial education groups to examine the heterogeneity. A robustness test is employed to ensure the reliability of the results.

The SEM results showed that the positive association between mobile payment and financial anxiety was mediated by overspending and overindebtedness in a parallel multiple mediation relationship. In addition, financial knowledge moderated the relationships between financial behaviors (overspending or overborrowing) and financial anxiety, while financial education moderated the associations between mobile payment use and overspending and between overspending and financial anxiety.

This study is limited by its use of cross-sectional data, which restricts conclusions on causality and temporal dynamics. Additionally, the study does not account for the potential bidirectional relationship between financial anxiety and mobile payment usage, which warrants further exploration. The mediating variables examination focus mainly on overspending and overindebtedness, suggesting the need to explore other factors like budgeting and saving. Finally, the study’s findings may not generalize to other populations, highlighting the need for research in diverse cultural contexts.

Consumers should be cautious of increased financial anxiety linked to overspending and debt. Platforms can help by enabling spending limits, sending alerts and providing detailed expenditure analysis. Stricter controls on loans and government regulations may also be needed to curb overindebtedness. Additionally, financial knowledge does not mitigate these risks, so even knowledgeable users should be cautious. Financial education programs should address debt management alongside overspending to provide a more comprehensive understanding of financial well-being.

This study explored the association between mobile payment use and financial anxiety and how undesirable financial behaviors like overspending and overindebtedness mediate this process. Furthermore, multi-group analyses were employed in financial education subsamples and financial knowledge subsamples. Based on the findings, implications were discussed for individual users, government regulation and education programs of mobile payment.

This study aims to examine companies’ socially responsible behaviors by studying the relationship between different proxies of corporate environmental responsibility (CER) and earnings management (EM) with emphasis on companies’ pro-environmental behavior and business ethics domain.

This meta-analysis synthesized the results from 31 studies with 110,024 firm-year observations concerning the relationship between CER and EM. The study has used corporate environmental disclosure index, corporate environmental performance ratings (CEPR), corporate environmental performance indicator and environmental regulations as proxies for CER to investigate the meta-results. Furthermore, the research then used emission level (measured using per capita CO₂ in metric tons), human development index for economic development, number of environmental mandatory policies (measured using Carrots and Sticks Report 2023) and western vs eastern culture as moderator variables.

The findings of this study revealed a significant negative relationship between CER and EM. Among different combined proxies of CER, CEPR reveal a significant and negative relationship with EM. Furthermore, the study suggests that future studies can explore this understudied area using proxies of EM, i.e. real EM, earnings persistence, value relevance and accounting conservatism.

This study offers insights to managers for transparent auditing and supports CER as a long-term sustainability plan. The regulators need to develop a global framework for environmental responsibility that does not compromise the quality of nonfinancial disclosers.

The findings of this study provide valuable insights for investors to make more informed decisions regarding green investments and suggest implications for policymakers to promote policies related to environmental sustainability and corporate transparency, thereby benefiting both investors and society. On a global scale, this study contributes to discussions concerning the alignment of corporate behavior with long-term environmental and financial integrity.

The meta-analysis addresses the long-standing two-decade debate of 2003–2023 on whether companies use CER as a transparency tool or use it as a greenwash to conceal their unethical earnings practices. To the best of the authors’ knowledge, this is the first meta-analysis to provide a comprehensive view to measure CER using different proxies to examine corporate ethical earnings behavior.

This paper aims to investigate the vertical cooperative relationship between the core enterprise and the manufacturer within the platform ecosystem, specifically analyzing the optimal decision-making processes of both parties under the original equipment manufacturer (OEM) and original brand manufacturer (OBM) modes.

This paper uses game theory to analyze the problem, considering factors such as brand value difference, cross-selling and platform empowerment. It constructs the game models for both OEM and OBM modes and discusses the selection strategies for the cooperation mode.

The results indicate that the choice of cooperation mode by the manufacturer and the core enterprise depends on the relative size of their brand values. In cases of inconsistent choices, cooperation can be improved by designing a transfer payment contract. When the brand value is constant, the product price is comprehensively affected by cross-selling revenue, price elasticity coefficient, cost coefficient of sales effort and cost coefficient of platform empowerment. The enterprise reduces the price only when the potential revenue brought by increasing product sales exceeds the marginal profit brought by increasing product pricing; otherwise, it raises the sales price.

The platform ecosystem is emerging as a future direction for business mode development. However, there is a paucity of research on the cooperation modes between manufacturers and core enterprises within the platform ecosystem.

This paper aims to reveal the green governance role played by stock connect in transition economies from the perspective of corporates’ environmental violations and provides implications for the coordination and optimization of subsequent stock market liberalization and green transformation policies in pursuit of carbon peaking and carbon neutrality goals.

With the data of Chinese listed enterprises, this paper takes the Shanghai-Hong Kong Stock Connect or Shenzhen-Hong Kong Stock Connect in China as a quasi-natural experiment and applies the multi-period difference-in-difference (DID) model to identify the impact of stock market liberalization on the corporates’ environmental violations.

The findings reveal that the stock market liberalization significantly restrains the corporates’ environmental violations. These findings are robust to a series of sensitivity tests, including excluding two-way effects, adjusting the year of policy implementation, replacing the core variables, introducing the regional fixed effects and excluding the interference effect of other relevant policies during the sample period. Furthermore, the stock market liberalization is beneficial for upgrading information disclosure quality, improving internal governance capability, strengthening environmental protection incentives, and thus restrains corporates’ environmental violations. Meanwhile, heterogeneity tests show that the inhibitory effects are more significant in those grouped samples which is large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden.

We make two marginal contributions to the current literature. First, this paper enriches the literature on the factors influencing corporate environmental violations by focusing on how the macro-level financial policy influences the micro-level corporate environmental violations. One the one hand, prior studies mainly focused on the consequences of corporate environmental violations; however, there is still a puzzle that the effect of stock market liberalization cannot be fully justified to influence corporate environmental violations. The findings help explain this puzzle by examining that stock market liberalization can restrain corporate environmental violations. Moreover, prior studies mainly focused on corporate share price (Yunsen Chen et al., 2022), market liquidity (Han Kim and Singal, 2000), information disclosure (Liang, Lin, and Chin 2012), corporate governance (Bae and Goyal, 2010) and corporate violations (Lingyun Xiong et al., 2021), but not on corporate environmental violations. We assume that the suppression effect of stock market liberalization on corporate environmental violations can help reduce corporate environmental violations, improve corporates’ awareness of environmental compliance. Second, this paper contributes to a better understanding of the literature on stock market liberalization by investigating the restraining effect of Stock Connect on corporate environmental violations from the perspective of information channel, corporate governance channel and motivation channel, which is of practical significance. Moreover, we investigate the differences in the inhibitory effects of stock market liberalization on different enterprises' environmental violations, from firm size, property rights, enterprise assessment results, tax burden to geographical location, which is conducive to the construction of a green financial system and the promotion of sustainable economic development. Our results show that firms which are large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden tend to compliance with environmental laws. These findings emphasize the importance and benefits of Stock Connect.

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.

In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.

The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.

In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/

This paper aims to focus on the research progress of intelligent self-healing anti-corrosion coatings in the aviation field in the past few years. The paper provides certain literature review supports and development direction suggestions for future research on intelligent self-healing coatings in aviation.

This mini-review uses a systematic literature review process to provide a comprehensive and up-to-date review of intelligent self-healing anti-corrosion coatings that have been researched and applied in the field of aviation in recent years. In total, 64 articles published in journals in this field in the last few years were analysed in this paper.

The authors conclude that the incorporation of multiple external stimulus-response mechanisms makes the coatings smarter in addition to their original self-healing corrosion protection function. In the future, further research is still needed in the research and development of new coating materials, the synergistic release of multiple self-healing mechanisms, coating preparation technology and corrosion monitoring technology.

To the best of the authors’ knowledge, this is one of the few systematic literature reviews on intelligent self-healing anti-corrosion coatings in aviation. The authors provide a comprehensive overview of the topical issues of such coatings and present their views and opinions by discussing the opportunities and challenges that self-healing coatings will face in future development.

This paper aims to propose a new ultrasonic detection method for stainless steel weld defects based on complex synergetic convolutional calculation to solve two problems in the ultrasonic detection of austenitic stainless steel weld defects. These include ignoring the nonlinear information of the imaginary part in the complex domain of the signal and the correlation information between the amplitude of the real part and phase of the imaginary part and subjective dependence of diagnosis model parameters.

An ultrasonic detection method for weld defects based on complex synergetic convolution calculation is proposed in this paper to address the above issues. By mapping low-density, 1D detection samples to a complex domain space with high representation richness, a multi-scale and multilevel complex synergetic convolution calculation model (CSCC) is designed to match and transform samples to mine amplitude changes, phase shifts, weak phase angle changes and amplitude-phase correlation features deeply from the detection signal. This study proposed an Elite Sine-Cosine Sobol Sampling Dung Beetle Optimization Algorithm, and the detection model CSCC achieves global adaptive matching of key hyperparameters in 19 dimensions. Finally, a regulative complex synergetic convolutional calculation model is constructed to achieve high-performance detection of weld defects.

Through experiments on a self-developed Taiyuan intelligent detection and information processing weld defect dataset, the results show that the method achieves a detection accuracy of 92% for five types of weld defects: cracks, porosity, slag inclusion and unfused and unwelded components, which represent an average improvement of 11% relative to comparable models. This method is also validated with the PhysioNet electrocardiogram public dataset, which achieves better detection performance relative to the other models.

This method provides a theoretical basis and technical reference for developing and applying intelligent, efficient and accurate ultrasonic defects detection technology.

This paper aims to address the issue of privacy leakage indirectly caused by non-private data shared by travellers on location-based social media (LBSM) in data mining.

This paper proposes a privacy-preserving location data collection approach based on local differential privacy (LDP) and validates the feasibility of the approach through experiments on three real-world public check-in datasets.

The experimental results demonstrate the effectiveness of our proposed approach, which preserves privacy while retaining over 90% of the data utility.

This research has the potential to assist tourism practitioners in establishing improved collaborations with trusted third parties, enabling the exploration of user location data insights without undue concerns regarding indirect privacy breaches during data mining, thereby enhancing travellers’ experience and aiding businesses’ decision-making.

This paper is likely to be the first to represent a promising solution for addressing privacy leakage concerns related to non-sensitive data in data mining. It provides a location data collection technology that strikes a balance between user privacy and data utility for tourism practitioners.

This paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.