Factors Affecting Users\u27 Dynamic Message Deleting Intention on Social Networks: An Empirical Study Based on Impression Management Theory

Social dynamics is a social networking service that allows users to input updates including letters, pictures, videos and share them with their social friends. Previous research mainly focus on the application of dynamic messages in the fields of communication science and economics. Based on impression management theory, this paper studies the influencing factors of users\u27 dynamic message deleting intention on social networks. The results show that impression management performance and social network fatigue significantly affect user\u27s intention to delete the dynamic messages. While message sender factors, such as self-monitoring, interpersonal interaction and image promotion; social platform factors such as information overload and social overload, indirectly influence the deleting intention through intermediary variables. This paper makes up for the lack of relevant empirical research, making users more social flexibility and effectiveness, thereby enhancing social validity, and have some practical implications for social networking services platforms

Understanding User Acceptance of Micro-Blog Services in China Using the Extended Motivational Model

The growing popularity of micro-blogs has drawn an increasing amount of attention from users keen to expand friendship, facilitate information sharing and information seeking. Given the extensive use of micro-blog services, there is a pressing need to understand users’ behavioral intentions in micro-blog services. Although there are some studies exploring the factors explaining micro-blog users’ acceptance, none of research has been reported from both of the technological characteristics and network effects of micro-blog services. This study extended motivational model with socio-technical approach as a theoretical framework to examine the roles of technological factors and network effect factors in determining micro-blog users’ behavioral intentions. This study suggests that interactivity, convenience, accessibility, network size, existing social contacts, performance expectancy, sense of belonging and hedonic expectancy together provide a strong explanation for micro-blog use intention. The results of this study provide directions for system administrators and service providers to achieve higher levels of micro-blog usage by developing multi-faceted strategies

Did the widespread haze pollution over China increase during the last decade? A satellite view from space

Widespread haze layers usually cover China like low clouds, exerting marked influence on air quality and regional climate. With recent Collection 6 MODISDeep Blue aerosol data in 2000–2015, we analyzed the trends of regional haze pollution and the corresponding influence of atmospheric circulation in China. Satellite observations show that regional haze pollution is mainly concentrated in northern and central China. The annual frequency of regional haze in northern China nearly doubles between 2000 and 2006, increasing from30–50 to 80–90 days. Though there is amarked decrease in annual frequency during 2007–2009 due to both reduction of anthropogenic emissions and changes of meteorological conditions, regional pollution increases slowly but steadily after 2009, and maintains at a high level of 70–90 days except for the sudden decrease in 2015. Generally, there is a large increase in the number of regional-scale haze events during the last decade. Seasonal frequency of regional haze exhibits distinct spatial and temporal variations. The increasing winter haze events reach a peak in 2014, but decrease strongly in 2015 due partly to synoptic conditions that are favorable for dispersion. Trends of summer regional haze pollution aremore sensitive to changes of atmospheric circulation. Our results indicate that the frequency of regional haze events is associated not only with the strength of atmospheric circulation, but also with its direction and position, as well as variations in anthropogenic emissions

UNDERSTANDING PERCEIVED PLATFORM TRUST AND INSTITUTIONAL RISK IN PEER-TO-PEER LENDING PLATFORMS FROM COGNITION-BASED AND AFFECT-BASED PERSPECTIVES

In this study, we drew from the existing online trust model to develop a specific model of online lending platform trust from the perspectives of cognition-based trust and affect-based trust. Trust between lenders and borrowers have been discussed a lot but there are no empirical studies focusing on trust toward lending platforms. The dearth of the relevant studies on this aspect indicates the great need for the present study. This study aims to incorporate the Technology Acceptance Model with additionally context-specific factors to propose a research model. Perceived platform trust is divided into three dimensions: technology expectancy, cognition-based trust and affected-based trust. To test the model, we collected data from 300 users with different educational levels on p2p lending platforms in China. The structure of demographic features of our samples is analogous to that of the overall p2p market in China at the end of 2012. The finding suggested that positive reputation and social influence had few impacts on trust toward lending platforms and perceived institutional risks. The finding of this research provided a theoretical foundation for future academic studies as well as practical guidance for both borrowers and lenders lending on p2p platforms

Did the widespread haze pollution over China increase during the last decade? A satellite view from space

Widespread haze layers usually cover China like low clouds, exerting marked influence on air quality and regional climate. With recent Collection 6 MODISDeep Blue aerosol data in 2000–2015, we analyzed the trends of regional haze pollution and the corresponding influence of atmospheric circulation in China. Satellite observations show that regional haze pollution is mainly concentrated in northern and central China. The annual frequency of regional haze in northern China nearly doubles between 2000 and 2006, increasing from30–50 to 80–90 days. Though there is amarked decrease in annual frequency during 2007–2009 due to both reduction of anthropogenic emissions and changes of meteorological conditions, regional pollution increases slowly but steadily after 2009, and maintains at a high level of 70–90 days except for the sudden decrease in 2015. Generally, there is a large increase in the number of regional-scale haze events during the last decade. Seasonal frequency of regional haze exhibits distinct spatial and temporal variations. The increasing winter haze events reach a peak in 2014, but decrease strongly in 2015 due partly to synoptic conditions that are favorable for dispersion. Trends of summer regional haze pollution aremore sensitive to changes of atmospheric circulation. Our results indicate that the frequency of regional haze events is associated not only with the strength of atmospheric circulation, but also with its direction and position, as well as variations in anthropogenic emissions

UNDERSTANDING THE ROLE OF COMMITMENTS IN EXPLAINING CROWDFUNDING INVESTING WILLINGNESS: ANTECEDENTS AND CONSEQUENCES

Crowdfunding is a new financing channel for small- and medium-sized enterprises and start-ups to raise funds for innovation projects online. Despite its rapid development, few empirical research has been performed to identify individuals’ motivations to continuously invest in crowdfunding. The high practical significance and lack of research indicate the importance of the present study. This study aims to apply Meyer & Allen’s three-component model of commitment to construct a research model, incorporating context-specific antecedents. The results of our survey of 186 actual funders of the crowdfunding platforms in China indicated that affective and calculative commitment are the main drivers of funders’ continuous investments in crowdfunding. Calculative commitment was proved to have a positive influence on affective commitment. Further, perceived self-worth and trust performed well as antecedents of both affective and calculative commitment, though trust played a negative role in the latter, which differed from the three other paths. And also, perceived critical mass was significantly associated with calculative commitment. The results of this research provided theoretical implications for future research and practical implications for the success of crowdfunding platforms

Dynamics of CrO3–Fe2O3 catalysts during the high-temperature water-gas shift reaction: molecular structures and reactivity

A series of supported CrO3/Fe2O3 catalysts were investigated for the high-temperature water-gas shift (WGS) and reverse-WGS reactions and extensively characterized using in situ and operando IR, Raman, and XAS spectroscopy during the high-temperature WGS/RWGS reactions. The in situ spectroscopy examinations reveal that the initial oxidized catalysts contain surface dioxo (O═)2Cr6+O2 species and a bulk Fe2O3 phase containing some Cr3+ substituted into the iron oxide bulk lattice. Operando spectroscopy studies during the high-temperature WGS/RWGS reactions show that the catalyst transforms during the reaction. The crystalline Fe2O3 bulk phase becomes Fe3O4 ,and surface dioxo (O═)2Cr6+O2 species are reduced and mostly dissolve into the iron oxide bulk lattice. Consequently, the chromium–iron oxide catalyst surface is dominated by FeOx sites, but some minor reduced surface chromia sites are also retained. The Fe3–-xCrxO4 solid solution stabilizes the iron oxide phase from reducing to metallic Fe0 and imparts an enhanced surface area to the catalyst. Isotopic exchange studies with C16O2/H2 → C18O2/H2 isotopic switch directly show that the RWGS reaction proceeds via the redox mechanism and only O* sites from the surface region of the chromium–iron oxide catalysts are involved in the RWGS reaction. The number of redox O* sites was quantitatively determined with the isotope exchange measurements under appropriate WGS conditions and demonstrated that previous methods have undercounted the number of sites by nearly 1 order of magnitude. The TOF values suggest that only the redox O* sites affiliated with iron oxide are catalytic active sites for WGS/RWGS, though a carbonate oxygen exchange mechanism was demonstrated to exist, and that chromia is only a textural promoter that increases the number of catalytic active sites without any chemical promotion effect

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

Logo embedding plays a crucial role in various e-commerce applications by facilitating image retrieval or recognition, such as intellectual property protection and product search. However, current methods treat logo embedding as a purely visual problem, which may limit their performance in real-world scenarios. A notable issue is that the textual knowledge embedded in logo images has not been adequately explored. Therefore, we propose a novel approach that leverages textual knowledge as an auxiliary to improve the robustness of logo embedding. The emerging Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in both visual and textual understanding and could become valuable visual assistants in understanding logo images. Inspired by this observation, our proposed method, FashionLOGO, aims to utilize MLLMs to enhance fashion logo embedding. We explore how MLLMs can improve logo embedding by prompting them to generate explicit textual knowledge through three types of prompts, including image OCR, brief captions, and detailed descriptions prompts, in a zero-shot setting. We adopt a cross-attention transformer to enable image embedding queries to learn supplementary knowledge from textual embeddings automatically. To reduce computational costs, we only use the image embedding model in the inference stage, similar to traditional inference pipelines. Our extensive experiments on three real-world datasets demonstrate that FashionLOGO learns generalized and robust logo embeddings, achieving state-of-the-art performance in all benchmark datasets. Furthermore, we conduct comprehensive ablation studies to demonstrate the performance improvements resulting from the introduction of MLLMs

EXPLORING THE ROLE OF SWITCHING COSTS IN EXPLAINING MICRO-GROUP ADHERENCE FROM THE SOCIO-TECHNICAL PERSPECTIVE

Micro-group is a commonly used function provided by most of China micro-blog platforms though which friends or people with common interests can share conversations like an online community. In this study, we draw from established socio-technical theory in Information Systems to develop an integrated model of customers’ adherence to micro-groups from the view of switching cost. The results of the empirical analysis confirmed that switching cost increases when the user perceived that the system was secure, full-functional or when there is a high level of network size, information value and network status. In the same way, greater switching cost was also found to have a positive influence on user adherence to micro-groups. Based on the findings, strategies to help micro-group site develop an enhanced “lock-in” effect are proposed

Examining information sharing in Enterprise 2.0: Applying theory of attachment

With its immense potential for enriching communication, promoting information sharing, enabling collaboration and improving job performance, Enterprise 2.0 becomes one of the most promising technological innovations in the business domain. Although，more and more firms are implementing Enterprise 2.0 to promote knowledge sharing and collaboration among employees in recent years. There is only a few empirical research has been performed to identify individuals’ information sharing through Enterprise 2.0. The high practical relevance and lack of research indicate the importance of this study. This study aims to apply the Attachment Theory to propose a research model that incorporates eight variables to predict individuals’ willingness of information sharing through Enterprise 2.0 applications. To test the model, structural equation modelling is employed to analyse data collected from respondents who have experience of using Enterprise 2.0 in a top-raking Chinese Internet survey platform. The findings of this research provide application designer and firm managers with effective methods to promote individuals’ willingness of information sharing through Enterprise 2.0.This research also provides a theoretical foundation for academics and practical implications for the development of Enterprise 2.0