Search results

User-generated content (UGC) refers to semantic and behavioral traces created by users on various social media platforms. While several waves of platforms have come and gone, the long-term sustainability of UGC activities has become a critical question that bears significance for theoretical understanding and social media practices.

Based on a large and lengthy dataset of both blogging and microblogging activities of the same set of users, a multistate survival analysis was applied to explore the patterns of users' staying, switching and multiplatforming behaviors, as well as the underlying driving factors.

UGC activities are generally unsustainable in the long run, and natural attrition is the primary reason, rather than competitive switching to new platforms. The availability of leisure time, expected gratification and previous experiences drive users' sustainability.

The authors adopted actual behavioral data from two generations of platforms instead of survey data on users' switching intentions. Four types of users are defined: loyal, switcher, multiplatformer and dropout. As measured by the transitions among the four states, the different sustainability behaviors are thereby studied via an integrated framework. These two originalities bridge gaps in the literature and offer new insights into exploring user sustainability in social media.

Although prior studies have studied the relationship between online consumers' attitudes and buying behaviour, the research focussing on online consumers' impulse buying behaviours and exploring the role of celebrity endorsement is limited. Drawing on the social presence and the social facilitation theory, this paper establishes a research model based on the stimuli–organism–response (S–O–R) model and the motivation theory. It explores how live streamers impact online consumers' impulse buying behaviours under specific social and cultural backgrounds, with celebrity endorsement as a moderating variable.

To test the research model, the online questionnaire method has been conducted in this study. This paper utilises Chinese online consumers as samples and promotes an online survey. Using the variance-based structural equation modelling and partial least squares path modelling (SEM-PLS), 433 valid questionnaires have been analysed on SmartPLS.

First, live streamers' attractive appearance positively correlates with online consumers' hedonic attitude and positively impacts their utilitarian attitude to live shopping. Second, live streamers' real-time interaction positively affects consumers' utilitarian attitudes because of their professional marketing and communication skills. Third, their hedonic and utilitarian attitudes positively influence online consumers' impulse buying behaviours. Finally, this paper presents that celebrity endorsement negatively moderates the relationship between online consumers' hedonic attitudes and impulse buying during live shopping.

This research combines the S–O–R model and the motivation theory and analyses related social influencing factors to study online consumers' impulse buying behaviours. Meanwhile, it explores the celebrity endorsement factor as a moderate role and identifies the different effects between live streamers and celebrities in live shopping, which is of great significance to the strategy of live shopping marketing and the literature on online consumers' behaviours.

As China shifts from a “human capital demographic dividend” to a “demographic dividend” as a source of economic growth, this paper examines the influence of social security system improvement on enterprises efforts to attract talent and enhance innovation ability.

This study uses a sample of Chinese listed firms from 2008 to 2019 to analyse the influences of social security contributions on enterprise innovation, and the mediating effect of human capital accumulation. The OLS, DID test, placebo test, 2SLS are used to test the research questions.

The authors find a significant positive correlation between social security contributions and enterprise innovation because social security contributions improve the accumulation of human capital, helping enterprises to attract talent, which in turn has a positive impact on corporate innovation. The positive correlation between social security contributions and enterprise innovation is more significant in private enterprises, STAR Market and GEM listed companies and labour-intensive enterprises.

These findings provide a theoretical basis for the formulation of relevant policies and the current reform of social security collection in China. The findings also have practical significance for the sustainable development of China's economy given its ageing population.

This study provides a new perspective, that is, from the perspective of human capital accumulation, to discuss the impact of social security contributions on enterprise innovation, and enriches the relevant literature on the economic consequences of social security contributions and the influencing factors of corporate innovation.

This study conducts a systematic literature review on the determination of urban land value to offer a comprehensive understanding of the methods, datasets, themes and factors of land value. The study aims to identify research gaps and suggest directions for future research in urban land value.

The study adopts the systematic literature review (SLR) approach to synthesize the literature on urban land value. The SLR is structured according to a three-stage protocol, involving planning, conducting and reporting to ensure transparency and reproducibility. Quantitative bibliometric analysis and qualitative hierarchical thematic analysis are used to assess the evolution of research and to identify key themes and factors.

The study reveals an unbalanced research focus on developed economies and residential land in urban land value literature. A hierarchical framework categorizes 644 factors into 25 subthemes and 8 themes across physical dimensions (e.g. land attributes and structure attributes) and market dimensions (e.g. land market and macroeconomic conditions). Two primary estimation methods – regression and residual – are identified, each suitable based on data availability. The literature’s evolution is driven by advances in empirical methods. An extensive catalog of databases is compiled, and a corresponding menu of methods is discussed with a focus on empirical identification strategies.

The study is limited by the focus on urban land value and the exclusion of agricultural, recreational and transportation land. Future research should expand to other land types and integrate new data sources and advanced methodologies such as machine learning to enhance empirical robustness.

The systematic review provides a foundation for practical applications and policy discussions on land value estimation and taxation. It offers a useful catalog of land value databases and a menu of land evaluation methods. They are useful for real estate businesses to perform accurate land evaluations and investment appraisals. They can also assist governments in determining precise land value for tax assessments and public policy formulation.

This paper is among the first to apply the SLR approach to urban land value – the price of an essential asset owned by households, businesses and governments. A key contribution is the identification of two distinct evolution patterns of literature: a “pine tree” pattern, showing linear, accumulative growth using homogeneous methodologies (e.g. regression methods) and a “palm tree” pattern, where diverse methods (e.g. residual methods) form independent branches. This analysis provides a new perspective on how methodological homogeneity influences the structure of research themes, offering insights into the dynamics of knowledge development in the field and in general.

The purpose of this paper is to understand how the contextual factors of health crisis information needs are different from a general health context and how these factors work together to shape human information needs.

This study collected the COVID-19-related questions posted on a Chinese social Q&A website for a period of 90 days since the pandemic outbreak in China. A qualitative thematic approach was applied to analyze the 1,681 valid questions using an open coding process.

A taxonomy of information need topics for a health crisis context that identifies 8 main categories and 33 subcategories was developed, from which four overarching themes were extracted. These include understanding, clarification and preparation; affection expression of worries and confidence; coping with a challenging situation and resuming normal life; and social roles in the pandemic. The authors discussed the differences between a health crisis and a normal health context shaping information needs. Finally, a conceptual framework was developed to illustrate the typology, nature and triggers of health crisis information needs.

First, only the Baidu Zhidao platform was investigated, and caution is advised before assuming the generalizability of the results, as the questioners of Baidu Zhidao are not representative of the whole population. Furthermore, since at the time of writing the COVID-19 is still in an emerging and evolving situation (Centers for Disease Control and Prevention, 2020), the collected data included only a relatively small sample size compared to the post-pandemic period, and this might have impact on the interpretation of the study’s findings.

The study’s taxonomy of information needs provides a reference for indexing and organizing related information during a disaster.

The study helps authoritative organizations track and send information in social media and to inform about policies related to the pandemic (e.g., quarantine and traffic control policies in our study) to the right people in the right regions and settings when the next disaster emerges.

The taxonomy of information need topics for a health crisis context can be used to index and organize related information during a disaster and support many information agents to enhance their information service practices. It also deepens the understanding of the formation mechanism of information needs during a global health crisis.