This study applies and builds on the Use and Gratification (U&G) theory to explore consumer acceptance of applied artificial intelligence (AI) in the form of Chatbots in online shopping in China. Data were gathered via an anonymous online survey from 540 respondents who self-identified as frequent online shoppers and are familiar with Chatbots. The results of the data analysis provide empirical evidence indicating that utilitarian factors such as the “authenticity of conversation” and “convenience”, as well as hedonic factors such as “perceived enjoyment”, result in users having a positive attitude towards Chatbots. However, privacy issues and the immaturity of technology have had a negative impact on acceptance. This paper provides both theoretical and practical insights into Chinese attitudes toward Chatbots and may be of interest to e-commerce researchers, practitioners, and U&G theorists.

The COVID-19 pandemic triggered a strict 100-day lockdown period in Spring of 2020 in China. One of the consequences of the lockdown was the disruption of the food supply chain for the millions of people confined to their homes. The well-established online food delivery service (OFDS) in China were disrupted by pressure to scale up rapidly to resolve the last mile of food delivery. The importance of the OFDS during periods of crises became apparent, as did the realization that uninterrupted food distribution was only possible due to the presence and scalability of the existing delivery network. Focusing on the importance of an established OFDS as a foundation for food distribution, this paper seeks to explore factors that affect consumers’ perception and acceptance of the retail food delivery system in urban China. By applying the extended theory of planned behavior (TPB), mean value calculation, univariate linear regression, and multiple linear regression have been adopted to test the hypotheses. Data obtained online from 260 participants demonstrate that the software’s characteristics concerning hedonic motivation (HM), convenience motivation (CM), perceived ease of use (PEOU), navigational design (ND), information quality (IQ), privacy and security (PS), restaurant credibility (RC), and perceived severity (Psev) have positive and significant impacts on customers’ intention to use (ITU), and thus, affects the actual use (AU) of the application in a positive way. The findings of this research contribute to the existing literature by consolidating, validating, and extending the TPB model, especially under the large-scale public health crisis circumstances. Customized practical insights are provided to emphasize developing HM, CM, Psev, and RC factors with maximal marginal effects that promote consumer acceptance; this is a prerequisite to the development of a robust OFDS. which can be repurposed during periods of crises to provide sustainable last-mile food delivery networks.

Purpose: The purpose of this paper is to develop initial evidence about the nature and features of crowdfunding in China, given it is largely unregulated regulatory frameworks. Design/methodology/approach: The paper used extensive desk research using data collected from the public and private sectors, after which the data was analyzed parallel to existing academic literature, that is, institutional context by Bruton et al. (2014). This paper uncovered patterns of development, profiling crowdfunding platforms, examining the regulatory landscape and providing antecedents of successful crowdfunding projects in China. Findings: When the traditional financial markets are hard to reach, micro, small and medium enterprises (MSMEs) were starved for capital. Crowdfunding can play a major role in funding and risk sharing. It is an innovative and dynamic vehicle for MSMEs as well as enthusiastic investors in China. Since its initial introduction to China in 2009, crowdfunding has gained substantial popularity in a relatively short period. Currently, there is still not an identifiable guideline on how to delineate the significance of the crowdfunding platform. The development of crowdfunding in China faces a few unresolved key issues. As researchers exploring this phenomenon in new ways, crowdfunding platforms can be enhanced in a manner that benefits the capital seeker, investors and society as a whole. Originality/value: There is a dearth of information on start-up crowdfunding in Asia. With little data available to analyze, so this paper hopes to contribute to knowledge and provide valuable information to researchers and industry representations. Crowdfunding represents a potentially disruptive change in the way that new ventures are funded. This paper represents an initial analysis in the study of new ventures in China. Finally, the authors provide recommendations for entrepreneurs, investors and policymakers as well as researchers and practitioners with suggestions about yet unexplored avenues of research.

This study examines users’ perceptions of Chatbots in China, with a particular focus on the factors influencing their acceptance and usage. Grounded in the Technology Acceptance Model (TAM), we analyze data from 542 online responses to explore the roles of Perceived Authenticity, usefulness, and risk in shaping user behavior toward AI-driven Chatbots. Using linear regression and mediation analyses, our findings indicate that both Perceived Authenticity and Perceived Usefulness positively impact users’ behavioral intentions, while Perceived Risk has a negative influence. Notably, Perceived Usefulness serves as a mediator between behavioral intentions and both Perceived Authenticity and Perceived Risk. These results contribute to the growing body of research on AI and e-commerce by providing empirical evidence of the key factors affecting Chatbot adoption. The study offers valuable implications for developers and marketers, suggesting that enhancing Perceived Authenticity and usefulness while addressing Perceived Risks can improve user acceptance. These insights are particularly pertinent for AI practitioners aiming to refine Chatbot technology and expand its application across various sectors.

This study explores the relationships among knowledge sharing, adaptability, and performance, and furthermore seeks to address a gap in the existing literature on how those relationships may vary between organizational sectors. Economic sustainability for firms of all sizes and sectors is likely to depend to a large extent on the creation of a sustainable organizational culture built on collaboration, innovation, and adaptability. The importance of knowledge management in developing sustainable and higher functioning organizations is well accepted in the literature. Likewise, the ability of organizations to realize competitive advantage by adapting and responding in a timely manner to changes in the landscape is well supported. Building on previous research, this study further examines how organizations in different sectors may experience that interaction differently. Based on data gathered through 720 online surveys and subjected to empirical analysis, the findings suggest that work groups that are more agile can more readily realize the benefits of a knowledge sharing organization culture. Further, in contrast to the main body of existing literature, the findings indicate that there is little difference in these benefits among organizations operating in different sectors, notably, within the context of mainland China. These findings may be of interest to those with an interest in knowledge sharing, organizational agility, organizational behavior, sustainable organizations, collectivistic cultures, to practitioners with an interest in developing higher functioning organizations, and to social scientists in related research areas such as cultural studies and psychology.

This paper explores the relationship between consumers’ public self-consciousness, purchase behavior, post-purchase regret, and time-limited promotions in e-commerce. Time-limited flash sales have become a common promotion strategy in e-commerce, particularly in China, the largest e-commerce market. Firstly, the effect of public self-consciousness on consumers’ impulsive purchase tendency and post-purchase regret is examined. Secondly, this paper extends the scope of previous studies and investigates how time pressure affects the relationships between self-consciousness, impulsive buying tendency, and post-purchase regret. Data were gathered via an anonymous online survey of 580 online shoppers and subjected to empirical analysis including validity testing and ANOVA. The results provide both practical and theoretical contributions to existing models and offer empirical evidence showing the positive relationships between public self-consciousness and impulse buying, between public self-consciousness and post-purchase regret, and between impulse buying and post-purchase regret.