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The number of online communities has increased rapidly with the development of the Internet. Although these communities provide users with knowledge-sharing channels, the enthusiasm of the users for participation remains low. Ecosystem theory, social cognitive theory, and some other theories emphasize the importance of environmental factors and hypothesize that the behavior of users is affected by personal factors and environmental factors. In this study, the authors investigated the impact of platform environmental factors on knowledge-sharing behavior and improved the platform environment construction of online communities.

First, the authors analyzed the influencing factors of online community knowledge-sharing from the perspective of the platform environment, constructed a research model, and proposed relevant hypotheses. Then, the authors designed a questionnaire and conducted a survey, and finally tested the hypotheses by using the method of structural equation model.

The results showed that community trust, community management, community incentive, community atmosphere, and community information protection had a significant positive impact on community knowledge-sharing behavior. Community trust played a significant intermediary role in the relationship between community management, community incentive, community information protection, and knowledge-sharing behavior; community information protection only affected knowledge-sharing behavior through community trust. Additionally, community atmosphere did not directly affect knowledge-sharing behavior through the intermediary of community trust.

This study showed that theoretical supplements and practical guidance are significant for conducting research and managing knowledge-sharing in the online community. They help community managers pay more attention to the construction of an online community platform environment.

In this study, the authors analyzed the influencing factors of online community knowledge-sharing from the perspective of the platform environment and introduced community trust as an intermediary variable. The research perspective and model of this study are novel to some extent.

Knowledge sharing is critical to creating value in platform ecosystems. However, participants refrain from sharing knowledge and even engage in free-riding behavior, thereby causing the value co-destruction of the platform ecosystems. To encourage knowledge sharing among participants, it is essential to analyze the influencing factors and decision-making mechanisms of knowledge sharing in the platform ecosystems.

The study investigated the issue of knowledge sharing among participants in platform ecosystems, based on the stochastic differential game model. Considering the uncertain factors, the Nash non-cooperative game, Stackelberg leader-follower game, and cooperative game models were proposed. By utilizing system dynamics and numerical simulations, the key influencing factors and mechanisms of knowledge sharing were deeply explored, consequently providing game solutions to achieve the Pareto optimality of the ecosystem.

Participants' innovation capability and the marginal benefits of knowledge-sharing positively impact knowledge-sharing decisions, while the environmental knowledge decay rate has a negative influence. The platform subsidy mode enhances the knowledge-sharing effect, and the collaborative cooperation mode can realize the Pareto optimization of the system.

The research findings will provide theoretical support for fostering knowledge innovation and sustainable development of platform ecosystems. Managers should cultivate an innovative environment, establish fair reward mechanisms, and utilize subsidies to promote knowledge sharing, leading to higher value creation.

Utilizing the stochastic differential game model, the study proposed various game-theoretic frameworks to analyze participants' knowledge-sharing strategies. The integration of system dynamics and numerical simulations provides a practical approach to understanding the key influencing factors and decision-making processes.

New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave differently when dealing with knowledge-related activities due to divergent characteristics caused by generational discrepancy. To provide a theoretical foundation for construction companies and safety managers to improve safety management, this research explores the factors and paths impacting the NGCWs' ability to share their safety knowledge.

Based on literature review, main factors that influence the safety knowledge sharing of the NGCWs were identified. Decision-Making Trial and Evaluation Laboratory and Interpretive Structural Modeling were applied to identify the hierarchical and contextual relations among the factors influencing the safety knowledge sharing of the NGCWs.

The results showed that sharing atmosphere ranked first in centrality and had a high degree of influence and being influenced, indicating itself an extremely important influencing factor of safety knowledge sharing of NGCWs. Six root influencing factors were identified, including individual characteristics, work pressure, sharing platform, incentive mechanism, leadership support and safety management system.

The number of influencing factors of safety knowledge sharing of the NGCWs identified in this study is limited, and the data obtained by the expert scoring method is subjective. In future studies, the model should be further developed and validated by incorporating experts from different fields to improve its integrity and applicability.

The influencing factors identified in this paper can provide a basis for construction companies and safety managers to improve productivity and safety management by taking relevant measures to promote safety knowledge sharing. The research contributes to the understanding knowledge management in the context of the emerging market. It helps to answer the question of how the market can maintain the economic growth success through effective knowledge management.

This paper investigates the influencing factors of NGCWs' safety knowledge sharing from the perspective of intergenerational differences, and the 13 influencing factor index system established expands the scope of research on factors influencing safety knowledge sharing among construction workers and fills the gap in safety knowledge sharing research on young construction workers. Furthermore, this paper establishes a multi-layer recursive structure model to clarify the influence path of the influencing factors and contributes to the understanding of safety knowledge sharing mechanism.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform.

This study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively.

The findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing.

This study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.

The study aimed to investigate the relationship between the intention to avoid food waste (IAFW) and the use of food-sharing technologies, such as internet platforms and mobile applications. The study utilized a model based on the theory of planned behavior (TPB) as an extension of the unified theory of acceptance and use of technology (UTAUT2).

An online platform tool (Prolific), and online self-report questionnaires were used to gather empirical data on 309 individuals. These data were then analyzed using two-step structural equation modeling.

The model explained 76% of the variance in user adoption of food-sharing mobile applications and internet platforms, supporting seven out of the nine tested hypotheses. Effort expectancy, social influence and IAFW were found to be the significant determinants of the behavioural intention to use food-sharing mobile applications and internet platforms (BITA). IAFW partially mediated the relationship between perceived behavior control and BITA. Age played a moderator role between the adoption of food-sharing mobile applications and internet platforms. However, IAFW did not play a mediating role between environmental concerns and BITA. The facilitating condition construct had an insignificant impact on BITA.

The current study was affected by some limitations. First, the data may not be considered as statistically representative because they were gathered online. However, the varied sociodemographic backgrounds of the respondents would boost the reliability of the findings. However, it would be prudent to use caution when extrapolating these findings to other contexts and cultures. Second, environmental concerns and perceived behavior control related to the avoidance of food waste behavior, as well as other factors that affect technology acceptance, may alter with time. Data from cross-sections may cause difficulties in following such changes. Thus, we recommend that longitudinal research studies aimed at building on our findings should be conducted. A qualitative study may help gain deeper insights into the relationship between IAFW related behavior and the adoption of various technologies to share leftover food, thereby revealing further details regarding different perspectives held by various respondents.

The positive relationship between environmental concerns and IAFW underlines the significance of investing in this area to raise social awareness and public concern for environmental safety. Additional initiatives aimed at increasing public concern regarding environmental issues may increase the overall IAFW. Instead of concentrating on a single source pertaining to the avoidance of food waste, the government and policy regulations should focus on regulating and eliminating waste from all sources that generate waste. The adoption of technology to share leftover meals may be influenced by social factors. Increased advertising for food-sharing mobile apps and online platforms may persuade more users to join. Additionally, building additional platforms and mobile apps in these fields with friendlier interactions may improve the cyber environment, making it easier for people to use them. By providing information, tools and assistance to promote the reduction of food wastage, policymakers may create interventions that enhance public perception and behavior toward the reduction of food waste. In conclusion, the findings of our study indicated that the social impact and ease of use are important factors in determining the adoption of food-sharing technology. Cooperation with social influencers, policymakers and developers may lead to the development of user-friendly technology that may improve accessibility to food-sharing technology.

In order to encourage the adoption of food-sharing technology among various age groups, policymakers may create initiatives that take the specific requirements and traits of each group into consideration. Policymakers and governments may also create legislation and regulations that are tailored to guarantee food safety and health security for users of food-sharing technology, such as instructions for handling and storing food as well as safeguards against food fraud and contamination.

This study addressed practical issues related to managing and reducing household food wastage through social sharing via mobile applications and internet platforms. The proposed model, which integrated TPB with UTAUT2 in the context of food wastage and technology acceptance, contributes to the current body of knowledge.

The concept of entrepreneurship in platform enterprises has evolved and developed. The purpose of this paper is to explore how entrepreneurship in platform enterprises can be transformed into the sustainable innovation capability of enterprises based on knowledge integration.

This study adopts a questionnaire survey. The research samples are mainly from well-known domestic platform enterprises, EMBA students and professional online websites, 389 valid questionnaires were collected.

The results show that entrepreneurship has a positive impact on the sustainable innovation capability of platform enterprises, knowledge integration plays a partial mediating role between entrepreneurship and sustainable innovation capability of platform enterprises. Shared leadership plays a moderating role between entrepreneurship and knowledge integration and knowledge-sharing atmosphere plays a moderating role between knowledge integration and sustainable innovation capability of platform enterprises.

This paper emphasizes the key role of entrepreneurship in platform enterprises on the sustainable innovation capability and discusses the realization path of the sustainable innovation capability of platform enterprises from the perspective of knowledge integration, which is of great significance for developing the research system of entrepreneurship and promoting the construction of sustainable innovation capability of platform enterprises.

Sharing food through online communities is an effective channel for quickly exchanging edible food, avoiding food waste and promoting environmental sustainability. This study explores how the different characteristics of food sharing platforms influence consumers' perceptions of food safety, attitudes and intentions to engage in sharing activities.

In-depth interviews are first used to identify the key platform mechanisms that consumers pay attention to. A 2 (protection rules) × 2 (food supply sources) × 2 (transaction volume) factorial between-subjects experiment is used to design 8 scenarios in the literal description. This study finally collects a total of 604 valid samples through a web-based questionnaire to test the hypotheses after conducting manipulation checks, reliability and validity.

The results of this study show that the three variables of protection rules, food supply sources and transaction volume are the most important among all factors and have different levels of effects in reducing consumers' perceived lack of safety of food shared on online platforms and in improving positive attitudes and behavioral intentions. A moderating role in improving consumers' perceptions, food knowledge and cooking techniques, is also demonstrated.

The findings of this study make a significant contribution to the literature, which lacks research on the influence of food (un) safety on consumer perceptions through platform mechanisms in non-Western countries, as digital technology platforms can effectively connect food providers and recipients. Some practical implications for consumers regarding wasting and sharing food are also provided.

Remote working has brought forward many challenges for employees as the phenomenon is still new for most employees across the globe. Some of these challenges may be addressed by the recent adoption of digital technologies by organizations. In this vein, our study explores the impact of digital platform capability on the creativity of employees through the mediating mechanism of explicit and tacit knowledge sharing.

The data were gathered from higher education institutes (HEIs) in a developing country, Pakistan which recently saw a major disruption during the Covid-19 pandemic. The proposed hypotheses were tested through Structural Equational Modeling (SEM) and the results confirmed our hypotheses.

The findings confirmed that the digital platform capabilities impact both tacit and explicit knowledge sharing among these remote employees. Likewise, the results also supported the mediating role of both explicit and tacit knowledge sharing on the creativity of these remote workers.

Our results are significant as they confirm the impact of digitalization on remote workers’ creativity predisposition. We thus advance the academic debate on the problems of knowledge sharing in remote working. We prove that digital capabilities outweigh the challenges created due to new forms of work driven by the pandemic. It further highlights the important areas to focus on while planning human resource policies in the new normal.