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The collaborative filtering algorithm is a classical and widely used approach in product recommendation systems. However, the existing algorithms rely mostly on common ratings of items and do not consider temporal information about items or user interests. To solve this problem, this study proposes a new user-item composite filtering (UICF) recommendation framework by leveraging temporal semantics.

The UICF framework fully utilizes the time information of item ratings for measuring the similarity of items and takes into account the short-term and long-term interest decay for computing users’ latest interest degrees. For an item to be probably recommended to a user, the interest degrees of the user on all the historically rated items are weighted by their similarities with the item to be recommended and then added up to predict the recommendation degree.

Comprehensive experiments on the MovieLens and KuaiRec datasets for user movie recommendation were conducted to evaluate the performance of the proposed UICF framework. Experimental results show that the UICF outperformed three well-known recommendation algorithms Item-Based Collaborative Filtering (IBCF), User-Based Collaborative Filtering (UBCF) and User-Popularity Composite Filtering (UPCF) in the root mean square error (RMSE), mean absolute error (MAE) and F1 metrics, especially yielding an average decrease of 11.9% in MAE.

A UICF recommendation framework is proposed that combines a time-aware item similarity model and a time-wise user interest degree model. It overcomes the limitations of common rating items and utilizes temporal information in item ratings and user interests effectively, resulting in more accurate and personalized recommendations.

To enhance the understanding of the antecedents of students' career adaptability, this study employs the crossover model to explore the potential transfer of career adaptability from headteachers to students and the underlying mechanisms involved.

This study examined the proposed moderated mediation model using matched survey data collected from 37 headteachers and 1,598 students in Chinese higher vocational colleges.

Headteachers’ career adaptability is positively related to students’ career adaptability via students’ psychological capital. An increased frequency of headteacher–student interactions strengthened the indirect relationship between headteachers' career adaptability and students' career adaptability.

The findings suggest that, under certain conditions, headteachers’ career adaptability could be transferred to students via students’ psychological capital.

With the diversification of professional values, an increasing number of individuals voluntarily choose positions that demand less than their personal knowledge, skills and educational background, a phenomenon known as voluntary overqualification. This study aims to explore the reasons for discerning the motivations driving voluntary overqualification, define its conceptual content and develop the measurement scale for voluntary overqualification.

Through five phases, and using both qualitative and quantitative approaches, the authors constructed a scale comprising three dimensions: earnings-oriented, life-oriented and meaning-oriented to measure voluntary overqualification. Following the steps of scale development, the conceptual connotation and structural dimensions of voluntary overqualification were systematically coded and mined based on grounded theory. The scale’s reliability and validity were measured through exploratory and validation factor analyses. Finally, the validity of the voluntary overqualification scale was verified through the selection of professional identity and subjective well-being.

This study defined connotations and structural dimensions of voluntary overqualification based on grounded theory, resulting in a measurement scale with three dimensions and 13 items. These dimensions include earnings-, life- and meaning-oriented voluntary overqualification. Empirical testing of predictive validity used professional identity and subjective well-being as outcome variables.

This study provides a theoretical foundation and an effective measurement tool for subsequent research in voluntary overqualification by focusing on a new type of voluntary overqualification, defining its connotations and developing a complete set of scales.

The purpose of this paper is to examine the influences of positive-framed and negative-framed green advertising on pro-environmental WTP. This study also explores the impacts of regulatory focus, environmental concern and pleasant level on green advertising effectiveness.

Data are collected from a within-participant between-group online experiment in China. The generalized estimating equation (GEE) is employed to investigate the impact of green advertising on WTP. Grouped regression and mediation analyses are conducted to explore the influences of regulatory focus, environmental concern and pleasure on advertising efficacy.

The experimental outcomes indicate that green advertising significantly increases participants’ pro-environmental WTP, and negative-framed advertising is more effective than its positive-framed counterpart. Prevention focus heightens receptivity to green advertising, and the relation of environmental concern to advertising effectiveness is inverted U-shaped. Pleasure mediates the effect of green advertising on the WTP, and this mediating role is influenced by emotional intensity when advertising is negatively framed.

Evidence suggests that green advertising may propel pro-environmental WTP by raising environmental awareness, but such a relationship remains severely understudied. As such, this study pioneers in exploring the impact of different-framed green advertising on pro-environmental WTP, extending the concept of green advertising to environmental management. By considering the influences of regulatory focus, environmental concern and pleasure, this study raises practical implications for designing green advertisements, such as increasing the usage of visual elements.

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

This paper aims to study the direct synthesis of imino methyl ether amino resin using commercially available formaldehyde, melamine and methanol through one-step two-stage catalysis.

Initially, melamine undergoes a reaction with formaldehyde to form hydroxylmethylation melamine in a basic setting. Subsequently, hydrochloric acid is incorporated to facilitate the etherification process. The study delves into the impact of various factors during the etherification phase, including the quantity of methanol, the temperature at which etherification occurs, the number of etherification cycles and the amount of catalyst used, on the synthesis of imino methyl-etherified amino resins. Ultimately, the most favorable conditions for etherification are identified through comparative analysis to evaluate the resulting synthesized products.

The methyl-etherified amino resin, characterized by a stable structure and consistent performance, was efficiently synthesized through a one-step, two-stage catalytic process. Optimal conditions for the etherification stage were determined to be a reaction temperature of 35°C, a melamine to methanol ratio of 1:24 and an addition of hydrochloric acid ranging from 2.2 mL to 2.5 mL. Remarkably, the resulting resin notably enhanced the water resistance, salt resistance and gloss of the canned iron printing varnish coatings.

Amino resins, known for their broad applications across numerous industries, face sustainability and operational efficiency hurdles when produced through traditional methods, which predominantly involve the use of a 37% formaldehyde solution. To tackle these issues, our research introduces an innovative method that add 37% formaldehyde to facilitate industrial production. The use of 37% liquid formaldehyde in this paper has two benefits: first, it is convenient for industrial application and production; Second, it is convenient to provide mild reaction conditions at lower concentrations because the amino group is relatively active, which is convenient for the preservation of the amino group and integrates it with a one-step, two-stage catalytic process. The primary objective of our study is threefold: to reduce the environmental footprint of amino resin synthesis, to optimize the use of resources and to improve the economic viability for its large-scale production. By employing this new strategy, we try to provide a more sustainable and efficient manufacturing process for amino resins.

In the wake of the COVID-19 outbreak understanding the behavioral dynamics and role of knowledge-oriented leadership (KOL) in driving knowledge worker performance (KWP) is paramount for organizations striving to adapt and thrive in the post-pandemic era. Drawing on the path-goal theory, this study explores the impact of KOL on KWP. In addition, this study seeks to examine both the direct and indirect influences of KOL on KWP via digital orientation (DO) and digital citizenship practices (DCP), especially for higher education institutions (HEIs) located in China.

The sample consisted of 319 academic staff from HEIs in China. The study used Smart-PLS 4.0 for analytical examination.

The results indicate that the impact of knowledge-oriented leadership on KWP is negligible. Furthermore, DCP and DO partially mediate the relationship between KOL and KWP. The findings of this research have practical implications for Chinese HEIs and organizations across industries, providing insights into how to navigate the complexities of the post-pandemic work environment and effectively harness digitalization to optimize the KWP.

The implications of this research extend beyond the HEIs, providing organizations in various industries with evidence-based strategies to promote effective leadership, foster digital skills, and cultivate a culture of digital citizenship in the post-pandemic work landscape.

Despite the increasing significance of KOL in the higher education sector, there is a dearth of studies establishing a relationship between KOL and KWP in HEIs. The present study seeks to fill this gap by examining the association among KOL, KWP, DO, and DCP in HEIs during the post-pandemic. This research provides significant contributions to the existing literature on the topic by scientifically exploring the association between KOL and KWP by examining the intervention mechanism of both digital citizenship practices and digital orientation.

This study aims to determine whether knowledge creation processes (KCPs) – knowledge exchange and knowledge integration affect digital innovation (DI), including information technology (IT)-enabled capabilities (ITECs) as a mediator and absorptive capacity (AC) as a moderator.

With a survey data set of 390 employees from Pakistani software small- and medium-sized enterprises (SMEs), the current study employed Structural Equation Modeling (SEM) using Smart Partial Least Squares to estimate the structural relationships in the conceptual model.

The results confirm that KCPs – knowledge exchange and knowledge integration positively enhance software SME's DI; ITECs play a partial mediating role in the linkage between KCPs and DI; AC positively moderates the relationship between knowledge integration and ITECs, and ITECs and DI, while AC doesn’t moderate the relationship between knowledge exchange and ITECs. The AC positively moderates the mediating role of ITECs amongst KCPs (knowledge exchange and knowledge integration) and DI, respectively.

This research uniquely integrates the knowledge-based view and dynamic capability theory to present a comprehensive framework that explains the interdependencies between knowledge process, ITECs and AC in driving DI. This approach advances the understanding of how software SMEs can strengthen internal knowledge and IT resources to achieve superior innovation outcomes.

This study aims to investigate the mechanism of knowledge management within multinationals during the post COVID-19 era, with particular consideration given to the relationship between the cultural intelligence of top managers and knowledge-oriented leadership using fear of COVID-19 as a moderating factor.

Derived from upper echelons’ theory and research on knowledge management success (KMS), a theoretical model and associated hypotheses have been developed and tested. Structural equation modeling was used with statistics collected from 288 top managers and executives of multinational corporations dominated by knowledge-intensive industries through a network investigation.

Results indicate that the levels of executives’ cultural intelligence and knowledge-oriented leadership contribute to KMS, while knowledge-oriented leadership acts as a mediator between them. In addition, the fear of COVID-19 of senior executives negatively affects both the direct and mediated influence of cultural intelligence on KMS.

The current research uses an empirical approach to examine cross-border KMS. Further research is needed to develop more comprehensive measurement tools for KMS and more detailed research by further developing the subdimensions of cultural intelligence. In addition, this paper used cross-sectional research that limits the capability to establish causal relationships over time.

The research explores the “human side” of the key antecedents of KMS, fills the gap in research about the impact of cultural intelligence and knowledge-oriented leadership on the achievement of KMS, paves the way for emerging knowledge-oriented leadership from the initial phase to the mature phase and contributes to the literature on environmental uncertainty and crisis, using the COVID-19 as a representative context.

The purpose of this study is to examine knowledge management (KM) infrastructure and processes on automobile manufacturing firm innovative performance through the mediating role of agile project management (APM) practice.

The data collection involved purposive and convenience sampling techniques to gather information from 692 employees employed in various public and private automobile manufacturing firms operating in Pakistan. To test the hypothesis, data analysis was conducted using Smart PLS software version 4, using the partial least squares and structural equation modeling technique.

The result revealed that knowledge management infrastructure and processes has a positive and significant effect on firm innovative performance. Moreover, agile project management practices positively and significantly mediate the relationship between knowledge management infrastructure and processes and firm innovative performance.

The performance of high-tech automobile manufacturing firms can be enhanced by implementing agile project management practices, especially when stimulated by external factors such as innovation. In an increasingly dynamic environment, innovation acts as a favorable factor that amplifies the positive impact of agile methodologies on firm performance.

Researchers can use these findings to identify knowledge gaps that need to be addressed in future studies and understand how strategies relate to processes within the KM-APM framework. This study provides practitioners with insights on applying KM practices in an APM context to enhance knowledge performance. Practitioners can use the framework to plan KM activities that support corporate strategy across all organizational layers, ensuring the appropriate knowledge is conveyed at each level.