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The increasing focus of consumers on health and environmental sustainability continues to drive the demand for organic food. Despite the recognized importance of health and environmental concerns, the differential impact of these factors on organic food purchasing decisions is evident, indicating the presence of moderating variables. This investigation attempts to delineate these contingencies within the realms of socio-environmental and individual factors, paying particular attention to subjective norms, uncertainty, and egoistic values.

Using the convenience sampling method, the primary data sample was collected by a professional market research consulting firm and included 1876 usable respondents from China. Hierarchical multiple regression analysis was utilized to verify the model and test the relationships between the constructs.

The results indicated that the path from environmental concern to organic food purchase intention was significantly influenced by subjective norms and uncertainty, both of which enhance this relationship. In contrast, egoistic values appeared to dampen this effect. Uncertainty also emerged as a key factor in the link between health concerns and organic food purchase intention, albeit with an opposite impact, weakening the relationship.

This study provides useful insights for academics and marketers to understand the complex phenomenon of organic consumer behavior. This result indicates that marketers can target reference groups to develop organic food marketing strategies.

Few studies have proposed and validated a model with these moderating factors collectively to study the purchase intention of organic food consumers in China.

Nano graphitic-carbon nitride (g-C₃N₄) is an emerging lubrication technology with excellent performance and significant potential for future applications. This study aims to investigate the effect of nano g-C₃N₄ as a lubricant additive on the wear performance of bearing steel disk.

Various mass fractions of g-C₃N₄ were introduced into the base oil. Combining tribological testing, rheological testing and surface analysis methods, the anti-wear properties and lubrication mechanisms were analyzed.

Transmission electron microscopy images revealed that the size of the nanoparticles of g-C₃N₄ ranges from 10 to 100 nm. Phase analysis of the g-C₃N₄ sample was conducted using X-ray diffraction. Further, 1.0% mass fraction of g-C₃N₄ in the base oil provides excellent anti-wear and friction-reducing performance. Compared to the base oil alone, it reduces the average friction coefficient by 63.8% and decreases the wear rate by 43.1%, significantly reducing the depth and width of the wear scar. Energy-dispersive X-ray spectroscopy and scanning electron microscope analysis revealed that the oil sample containing nano g-C₃N₄ can form a lubricating film on the sliding surface of bearing steel after wear, which enhances the lubricating properties of the base oil.

The synergistic effect of the base oil and nanoparticles reduces friction and wear and is expected to extend the service life of bearing steel. These findings suggest that incorporating nano g-C₃N₄ as a lubricant additive offers significant potential for improving the performance of mechanical components.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2024-0456/

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

The purpose of this study is to examine the impact of customers' environmental concern on corporate green innovation and its underlying mechanisms.

This study empirically examines the impact of customer environmental concern on corporate green innovation using 967 company-customer-year observations of Chinese A-share listed companies over the period 2012–2022.

The empirical results show that customer environmental concern significantly enhances corporate green innovation. Furthermore, executive environmental awareness and research and development (R&D) investment play a partial mediating role in this relationship. The heterogeneity analysis reveals that state-owned customers, customers located in the same province with the corporate and the intellectual property model cities contribute to strengthening this relationship. Moreover, corporate performance analysis shows that customer environmental concern can significantly increase corporate financial performance and sustainable performance.

This study innovatively proposes a measure of customer environmental concern and examines its impact on corporate green innovation and its underlying mechanisms. In addition, this study also proposes some insights for policymakers.

Based on the social exchange theory, this study aims to investigate the influence of green supplier development (GSD) on supplier green innovativeness (SGI), the mediating role of buyer–supplier cooperation and the moderating role of preferred customer status (PCS).

This study uses stratified regression analysis to test the hypothesized relationships with data collected from 385 Chinese high-tech manufacturing enterprises.

The results of regression analysis show that GSD has a significant positive effect on buyer–supplier cooperation and SGI; buyer–supplier cooperation plays a partially mediating role between GSD and SGI; PCS strengthens the positive relationship between buyer–supplier cooperation and SGI and enhances the mediating role of buyer–supplier cooperation between GSD and SGI.

Supplier participation in green innovation is of great significance to the green development transformation of China’s manufacturing industry. This study reveals the positive impact of GSD on enhancing SGI and provides specific suggestions for manufacturing enterprises to realize efficient supplier management and build mutually beneficial and win-win cooperative relationships.

This study enriches and expands the related research on SGI antecedents and reveals the mediating mechanism and boundary conditions therein, which better makes up for the lack of attention to GSD in the existing research on supplier management and can provide lessons and references for the subsequent related researches targeting the enhancement and utilization of SGI.

This paper aims to examine the volatility connectedness between energy and agricultural commodities across different quantiles and time horizons.

This study uses the quantile frequency connectedness approach on daily data spanning from January 2019 to November 2023.

The results indicate a sharp increase in total connectedness during the COVID-19 crisis and the Russian−Ukrainian conflict, suggesting that both the crisis and the war contribute to volatility spillover among energy and soft commodities. In fact, the findings suggest that, in the short term, the effects of the pandemic have a greater impact on dynamic risk spillover than those of the war. However, over the long term, the consequences of geopolitical tensions related to the war exert a more significant influence compared to the effects of the pandemic.

This study confirms that energy market prices and oil uncertainty play a significant role in explaining fluctuations in agricultural commodities across diverse timeframes, frequencies and quantiles. Particularly, at extreme quantiles, the results indicate that large shocks have a more pronounced impact than small shocks. These findings hold important implications for policymakers and market participants.

Although big data analytics managerial skills (BDAMS) offer opportunities for firms to foster organizational agility, existing studies present inconclusive indications of this impact, with an overlooking of the intermediate pathways involved. This study explored how BDAMS affect organizational agility by investigating the mediation effect of data-driven organizational learning (DDOL) and the moderating roles of technological and market turbulence.

This study employed mediation and moderated mediation analyses to test the hypotheses using data collected from listed Chinese firms. Furthermore, we performed a fuzzy set qualitative comparative analysis (fsQCA) as a supplementary approach to identify the configurations that lead to organizational agility.

This study shows that DDOL partially mediates the relationship between BDAMS and organizational agility. Besides, technological and market turbulence positively moderate the effect of DDOL on organizational agility and the mediation effect of DDOL. Our additional analyses also reveal several patterns of conditions that facilitate agility.

This study offers a comprehensive exploration of the relationship between BDAMS and organizational agility by verifying the mediating effect of DDOL and moderating effects of technological and market turbulence. In addition, the fsQCA results highlighted the combinatorial effects of key factors in this study, reinforcing and refining the moderated mediation results.

Online medical repositories provide a platform for users to share information and dynamically access abundant electronic health data. It is important to determine whether case report information can assist the general public in appropriately managing their diseases. Therefore, this paper aims to introduce a novel deep learning-based method that allows non-professionals to make inquiries using ordinary vocabulary, retrieving the most relevant case reports for accurate and effective health information.

The dataset of case reports was collected from both the patient-generated research network and the digital medical journal repository. To enhance the accuracy of obtaining relevant case reports, the authors propose a retrieval approach that combines BERT and BiLSTM methods. The authors identified representative health-related case reports and analyzed the retrieval performance, as well as user judgments.

This study aims to provide the necessary functionalities to deliver relevant health case reports based on input from ordinary terms. The proposed framework includes features for health management, user feedback acquisition and ranking by weights to obtain the most pertinent case reports.

This study contributes to health information systems by analyzing patients' experiences and treatments with the case report retrieval model. The results of this study can provide immense benefit to the general public who intend to find treatment decisions and experiences from relevant case reports.

Digital games have not only surged in popularity but also have sparked a renaissance, catapulting virtual adventures into the realm of cultural phenomena. It has spilled over as countless individuals find themselves drawn to the tangible pieces of the worlds they love, mulling over the procurement of game merchandise and memorabilia. These items are more than mere collectibles; they are emblems of unwavering enthusiasm for game culture. This study employs the consumer culture theory (CCT) to investigate game players’ propensity to purchase merchandise products.

In this study, social media and online forums were used to collect samples from Taiwan, obtaining 311 valid responses. Partial least squares (PLS) was employed to analyze the research model.

The findings underscore the significance of loyalty as a critical factor affecting individuals’ ethnocentrism and cosmopolitanism attitudes, which also significantly impact the likelihood of players purchasing game merchandise products.

Based on CCT, this study explores game players’ willingness to purchase game merchandise. In Asia, transforming digital game content into peripheral products is a marketing strategy. This study holds practical and academic implications, contributing to the advancement of research in this field.

In China, having a home before getting married is viewed as being a crucial indicator of the sincerity of romance. Despite recent increases in housing costs, men who have their homes ready for marriage stand out in the marriage market. This study aims to explore the association between readiness to marry, marriage age and the home that men purchase prior to marriage using the China Labor-force Dynamics Survey, the first countrywide follow-up survey with the theme of labor force.

The authors suggest new standards for determining the marital residence. In addition, contrary to the existing literature, which focuses on “Sheng Nu” (women who do not marry by the traditional marriage age in China), the authors focus on “Sheng Nan” (men who do not marry by the traditional marriage age in China).

The results show that men who own a house before marriage are reluctant to get married. The authors document robust evidence that the preexistence of the marital house decreases the willingness to marry and postpones the marriage date, regardless of location and time.

The authors document robust evidence that the preexistence of the marital house decreases the willingness to marry and postpones the marriage date, regardless of location and time.