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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 parental financial socialization and life satisfaction and the mediating roles of desirable financial behavior in the association between parental financial socialization and life satisfaction of college students in India. Furthermore, this research also explores the moderating effects of parents’ socioeconomic characteristics (education, income and professions) in the association between parental financial socialization and desirable financial behavior.

A sample of 1,161 college students was collected in India. Parental financial socialization is measured by direct parental teaching in this study. The first stage moderated mediation model is performed to examine the direct and indirect effects through financial behavior of parental financial on life satisfaction as well as the moderating role of parents’ socioeconomic characteristics.

The mediation analysis shows that parental direct teaching is positively associated with young adults’ financial behavior, which in turn contributes to their life satisfaction. Furthermore, this study also finds negative moderation effects of parental education on the association between parental direct teaching and children's financial behavior.

This study extends the knowledge of family financial socialization in the context of India. Moreover, it examines the mediation roles of desirable financial behavior in the association between parental direct teaching and children’s life satisfaction. Furthermore, this paper explores the potential influence of parents’ education, income and professions on children’s financial behavior and life satisfaction.

This paper aims to examine and compare the associations between financial capability and financial anxiety (FA) before and during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, financial capability is measured by three indicators: financial knowledge, financial behavior and financial confidence. This study also examines and compares the association among different income groups before and during the pandemic.

Data are from 2018 to 2021 National Financial Capability Study (NFCS). Structural equation modeling (SEM) is employed to examine the direct and indirect associations between financial capability factors and FA. Furthermore, this paper also conducts multi-group SEM for three income groups to examine the heterogeneous effects of household income.

Both before and during the pandemic, financial knowledge is directly positively and financial behavior is directly negatively associated with FA. In addition, both financial knowledge and financial behavior are positively associated with financial confidence, which in turn is negatively associated with FA. However, when taking the indirect effects into consideration, the total effects of financial capability factors on FA are all negative. Furthermore, the pandemic has intensified the negative association between financial behavior and FA rather than financial knowledge or financial confidence. Multi-group SEM shows that the positive direct effects of financial knowledge are only significant in the low-income group, while the negative direct effects of financial behavior are only significant in the low- and middle-income groups before the pandemic. However, direct effects of financial knowledge and financial behavior are significant in all income groups during the pandemic.

First, this study specifies a construct, financial confidence, to proxy perceived financial capability. Second, it examines the mediating role of financial confidence in the association between the other two financial capability factors (financial knowledge and financial behaviors) and FA. Third, it also compares the associations between financial capability factors and FA before and during the COVID-19 pandemic.

The purpose of this paper is to investigate the effect of plasma electrolytic oxidation (PEO) coatings and sealed PEO coatings on the corrosion resistance and cytocompatibility of a novel Mg-1Zn-0.45Ca alloy in simulated body fluid (SBF).

The microstructure, corrosion resistance and cytocompatibility of PEO coatings and phosphate conversion-treated PEO coatings were investigated and was compared with the bare Mg alloy.

The hot-extruded Mg-Zn-Ca alloy exhibit inhomogeneous microstructure and suffered from localized corrosion in the SBF. The PEO coating after phosphate conversion treatment offers enhanced protectiveness to the Mg alloy within an immersion period of up to 60 days, which is significantly improved compared with the performance of the PEO-coated Mg alloy, but the cytocompatibility was slightly decreased.

This work offers new perspective in balancing the protectiveness and cytocompatibility of bio-materials.

To remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.

Regarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.

The results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.

First, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.

The use of digital technology is crucial for building resilience and shaping competitive advantages in project-based organizations (PBOs). The purpose of this study is to explore the impact of digital elements on organizational resilience and resilience enhancement paths in PBOs represented by the construction industry in the context of digitization.

This study uses multivalue-set qualitative comparative analysis (mvQCA). First, we collect digitization keywords from the annual reports of PBOs in the construction industry and classify them as process digitization, digital technology application and production intelligence while also considering word frequency statistics as antecedent conditions. Second, through a literature review and the use of the data collected, we define organizational resilience as the ability of organizations to defend, resist, recover and develop. Then, we use the mvQCA approach to examine how digital antecedent variables collectively advance PBO resilience.

By collecting data on 79 listed Chinese construction companies and utilizing mvQCA, we identify five combinations of conditions that produce high levels of organizational resilience, and the solution coverage is 1. These methods are (1) digital technology application-oriented, (2) process digitalization-oriented, (3) digitized multifactor coupling, (4) process digitization and digital technology application-driven and (5) process digitalization and production intelligence-driven.

These findings have important theoretical and practical implications for revealing the digital-driven path to high levels of PBO resilience. In theory, this study enriches the research on organizational resilience and expands the application scope of organizational resilience theory and the QCA method. Furthermore, this study provides new ways and ideas for PBOs to effectively integrate and utilize internal and external digital resources to increase their levels of organizational resilience.

The purpose of this paper is to solve the abrupt deterioration of lubricant performance in high-temperature conditions.

Three silver pyrazolyl methyl pyridine complexes with different morphologies were synthesized. A four-ball tribometer was used to assess the tribological characteristics as an additive for pentaerythritol oleate both independently and compound with 1-hexyl-3-methylimidazolium bis(trifluoromethane sulfonyl)imide.

The results showed that when silver complexes and ionic liquids (IL) act independently, sheet silver complex 1 and rod silver complex 2 exhibit good lubricating performance; the optimal antifriction concentration of the ILs is 0.25 Wt.%. The tribological results of the compounds additive of ILs and silver complexes indicate that the wear scar diameter of compound 1 decreased by 16.914%, the wear volume reduced by 7.44% and the lubrication effect surpassed that of the two substances individually; rod compound 2 exhibited an antagonistic effect, intensifying wear; compound 3’s lubrication effect fell between that of the two individual components.

The compound of sheet silver complexes and ILs effectively solves the agglomeration problem of micro/nano lubricant additives. When the interface fails, self-repair is completed, improving the stability and antiwear performance of the lubricating oil.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0128

The aim of this study is to analyze the influence mechanism of real estate enterprises' status on debt default risk and explore the heterogeneity effect of the characteristics of enterprises.

Against the background of the “three red lines” regulation of the financing of real estate enterprises and the COVID-19 pandemic, the authors select 123 real estate enterprises listed on China's Shanghai and Shenzhen A-shares markets from the first quarter of 2021 to the second quarter of 2022 as a research sample. The social network analysis method and Z-score financial risk early warning model are used to measure real estate enterprises' status and debt default risk. The authors construct a panel regression model to analyze how the status of real estate enterprises influences their debt default risk.

The results show that the status of real estate enterprises negatively and significantly affects their debt default risk. Economic policy uncertainty and financing constraints play negative moderating and mediating roles, respectively. Further research has found that the effect of real estate enterprises' status on debt default risk is characterized by heterogeneity in equity characteristics, i.e. it is significant in the sample of nonstate-owned enterprises but not in the sample of state-owned enterprises.

It is helpful for real estate enterprises to attach importance to the value of social networks, and the authors provide policy suggestions for real estate enterprises to constantly improve their risk management systems.

Using economic policy uncertainty as the moderating variable and financing constraints as the mediating variable, the authors analyze how the status of real estate enterprises influences debt default risk, which contributes to a better understanding of the formation of the debt default risk of real estate enterprises.

As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of other countries? Currently, there is a notable absence of comprehensive comparative analyses addressing this issue. The purpose of this study is to fill this gap by systematically reviewing the development trajectory of research on the data factor market from a governance perspective.

In this study, the authors used Citespace software to conduct bibliometric analyses on a corpus of 1,304 international publications and 1,249 Chinese publications. These analyses encompassed various dimensions, including publication quantity and trend analysis, cocitation analysis and keyword cooccurrence analysis, while also facilitating a comparative examination of research disparities between Chinese and international literature.

There are significant differences between Chinese and international data factor market studies in terms of governance environment, governance entities, governance technology and governance mechanism. The authors strongly advocate the promotion of cross-border research collaboration to advance the research and application of data factor market governance.

The authors have innovatively proposed a framework for data factor market governance. Building upon this framework, the authors conducted a comprehensive comparative analysis of research disparities between Chinese and international literature, thereby unveiling emerging research trends in the field of data factor market.