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This paper aims to investigate the impacts of rumors' information characteristics on people's believing and spreading of rumors online.

This study employed a mixed-methods approach by combining qualitative and quantitative methods. In study 1, the authors explored different types of rumors and their information source characteristics through qualitative research. In study 2, the authors utilized the findings from study 1 to develop an empirical model to verify the impact of these characteristics on the public's behaviors of believing and spreading rumors by content analysis and quantitative research.

The results show that five information source characteristics – credibility, professionalism, attractiveness, mystery and concreteness – influence the spreading effect of different types of rumors.

This study contributes to rumor spreading research by deepening the theory of information source characteristics and adding to the emerging literature on the COVID-19 pandemic.

Insights from this research offer important practical implications for policymakers and online-platform operators by highlighting how to suppress the spread of rumors, particularly those associated with COVID-19.

This research introduces the theory of information source characteristics into the field of rumor spreading and adopts a mixed-methods approach, taking COVID-19 rumors as a typical case, which provides a unique perspective for a deeper understanding of rumor spreading's antecedences.

Smartphone multitasking behavior has become prevalent in our daily lives, yet factors influencing smartphone multitasking behavior have not been fully investigated. This study aimed to examine the roles of a set of demographic, personality and motivational factors on smartphone multitasking behavior, and how these factors were related to general and application-specific types of smartphone multitasking behavior.

A cross-sectional study was conducted in which 2,659 smartphone users were invited to complete an online survey on smartphone multitasking behavior. Hierarchical multiple regression analyses were used to examine the roles of demographic, personality and motivational factors on smartphone multitasking behavior.

The results showed that, in general, demographic factors, such as gender, age, occupation status, education and smartphone usage time significantly predicted smartphone multitasking behavior. People characterized by agreeableness, extraversion, neuroticism and openness to experience were more likely to multitask with smartphones. Information seeking, efficiency and habit motivations were identified as major motivational factors for smartphone multitasking behavior. The roles of demographic, personality and motivational factors differed much across varied types of application-specific smartphone multitasking behavior.

This study extends and advances the literature on media multitasking, smartphone multitasking in particular, by identifying a set of demographic, personality and motivational factors as antecedents of smartphone multitasking behavior. In addition, this study revealed the differentiated roles of the above-mentioned factors across varied types of smartphone application usages. The findings provide important implications for practitioners to tailor smartphone applications and services to different target smartphone users and use situations.

Based on uncertainty reduction theory, this study explores how perceived information transparency mitigates users' perceived uncertainty, which in turn influences their actual purchase behavior. In addition, the moderating effects of cultural tightness on the relationship between perceived information transparency and perceived uncertainty are also considered.

Users with the shopping experience on Xiaohongshu are invited to participate in the survey. Finally, 355 valid longitudinal data are collected.

The results indicate that the three dimensions of perceived information transparency (i.e. perceived product transparency, perceived seller transparency and perceived transaction transparency) can reduce users' perceived uncertainty significantly. Besides, the negative impacts of perceived product and seller transparency on users' perceived uncertainty are stronger when cultural tightness is higher. However, cultural tightness does not moderate the relationship between perceived transaction transparency and users' perceived uncertainty.

First, the authors' research extends the uncertainty reduction theory to the context of social commerce. Second, the authors' research explores the boundary condition under which perceived information transparency varies by identifying cultural tightness as the moderator of the relationship between perceived information transparency and uncertainty. Third, the authors' research enriches the understanding of the cultural tightness of China.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

Based on leadership and self-efficacy theories, this study investigates how team-level ambidextrous leadership influences employees' enterprise system (ES) use via their self-efficacy.

This study collected data from a cross-sectional survey including 218 employees working in 56 workgroups in a Chinese financial institution. The authors used a cross-level mediation analysis to test the research model.

The authors find that ambidextrous leadership influences employees' creative self-efficacy and performance self-efficacy and further improves employees' ES use. Moreover, creative self-efficacy mediates the relationship between ambidextrous leadership and explorative use, whereas performance self-efficacy mediates the relationship between ambidextrous leadership and both explorative and exploitative use.

This study first examines the relationships among ambidextrous leadership, self-efficacy and employees' ES use by developing a cross-level model. Furthermore, by considering ambidextrous leadership as an important team-level factor, this study extends a deeper understanding of ambidexterity theory of leadership in the ES context. In addition, our study extends self-efficacy theory by examining the mediating roles of the two types of self-efficacy (i.e. performance self-efficacy and creative self-efficacy) on ambidextrous leadership–ES use relationship.

Based on the knowledge-based view, this study investigates how firms' information technology (IT) capability broadens and deepens their knowledge base, which consequently improves digital innovation. By further drawing on the institutional theory perspective, this study examines how the relationships between IT capability and knowledge base are moderated by the institutional environments in which the firm operates.

This paper uses 170 samples of Chinese firms and an empirical test conducted by the authors following a hierarchical moderated regression analysis.

The results find that IT capability positively affects knowledge breadth and knowledge depth, which consequently improves digital innovation. Furthermore, the study reveals the negative moderating effects of enforcement inefficiency on IT capability–knowledge breadth relationship, and the negative moderating effects of government support on IT capability–knowledge depth relationship.

This research is one of the earliest attempts to explore the impact of the institutional environment of emerging economies on IT capability. It also clarifies the impact of knowledge breadth and knowledge depth on digital innovation.

The coal bed methane resources distribution of Handan - Fengfeng Mining area has the features of "richness in the midland and north while poorness in the south, and richness in the east while poorness in the west. Through the analysis of the geological factors causing the above phenomena, we get that: the coal metamorphism and hydrogeological condition are the major controlling factors, the former controls the north and south difference of coal bed methane resources distribution from the two aspects covering gas-generated quantity and adsorption capacity, while the latter controls the east and west difference of coal bed methane resources distribution; syncline and good cap rock conditions are necessary conditions for coal bed methane enrichment, but not the reason for causing the difference of coal bed methane resources distribution.

To improve the robustness of missile control system and reduce the error, a missile attitude adaptive control method based on active disturbance rejection control technology (ADRC) and BP neural network is innovatively proposed.

ADRC improves the performance of the missile control system by estimating and eliminating the total disturbance of the system. BP neural network adjusts the parameters of ADRC controller according to the state of the system to realize adaptive control. Based on the control system and missile dynamics model, the convergence analysis of the extended state observer and the stability analysis of the closed-loop system after embedding BP neural network are given.

The simulation results show that the adaptive control method can adjust the coefficient of error feedback rate according to the system input, output and error change rate, which accelerates the response speed of missile attitude angle and reduces the attitude angle error.

BP–ADRC further improves the robustness and environmental adaptability of the missile control system. The BP–ADRC control method proposed in this paper is proved feasible.

Different from the traditional ADRC, the BP–ADRC feedback signal proposed in this paper uses the output signal and its rate of the closed-loop system instead of the system state quantity estimated by extended state observer (ESO). This innovative method combined with BP neural network can make the system output meet the requirements when ESO has errors in the estimation of missile dynamics model.

The purpose of this study is to explore organizational social media capability in business-to-business (B2B) marketing, by focusing on what social media capability is in a B2B marketing context and how it is developed in firms engaged in B2B marketing.

This is a thematic literature review, drawing on both B2B marketing and Information Systems literature. In total, 112 academic articles from nine journals were identified and analyzed. The findings were synthesized and compiled to provide answers to the predefined research questions.

The results suggest that organizational social media capability is dependent on a deep understanding of a firm’s technological capability, i.e. recognizing the key features and categories of social media and dynamically upgrading the recognition in response to the environmental change. A four-level Social Media Capability Maturity Model (technological, operational, managed and strategic level) that collectively transfers social media’s technological capability to dynamic organizational capability is proposed.

This study contributes to an understanding of the use of social media in the context of B2B marketing from an organizational dynamic capability perspective. The model is particularly relevant to organizations that have adopted or plan to adopt a B2B social media strategy and is relevant for B2B researchers who are interested in social media research.

This study aims to investigate how information technology (IT) integration and relational ties between a firm and its supplier influence its innovation performance and how such relationships are moderated by relationship duration and institutional distance between the firm and its supplier.

Based on 153 matched-pair surveys of firms in China, the authors used regression analyses to test their hypotheses.

The authors find that IT integration and relational ties with the supplier significantly improve the firm’s innovation performance. Further, the authors find that relationship duration negatively moderates the impact of relational ties on innovation performance. Institutional distance negatively moderates the impact of IT integration, yet positively moderates the impact of relational ties on innovation performance.

This study provides a more nuanced insight into relational and institutional boundary conditions under which IT integration and relational ties affect innovation performance.