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Microblogging as one kind of social media application provides an important information sharing platform. Adaptive information sharing is the combination of adaptive information technologies (IT) use behavior and information sharing behavior and subsequently refers to adaptive use of IT oriented to information sharing. The purpose of this paper is to understand adaptive information sharing in the context of microblogging from the perspective of cognitive switching.

A research model was developed and survey data were collected. The partial least squares structural equation modeling was employed to verify the research model.

Adaptive information sharing is positively impacted by other people’s use, discrepancies and deliberate initiatives among which other people’s use is the key determinant. Meanwhile, task self-efficacy positively moderates the effect of other people’s use on adaptive information sharing.

Developers of microblogging should as far as possible create learning atmosphere and learning culture. With learning atmosphere and culture, more and more users could keep on learning from observing other people. Consequently, more and more users would be willing to try new features of microblogging to share information.

This study examines adaptive information sharing by extending adaptive IT use behavior from the levels of technology, system and feature to the information level, presenting a new lens for adaptive IT use and information sharing alike.

During the coronavirus disease 2019 (COVID-19) pandemic, public health risk communication has been a vital work. Students account for a large proportion of the population and are often highly mobile; thus, they face a high risk of contagion and spreading the disease. Therefore, risk communication to this group during the pandemic has been essential. This research examines the relationship between risk communication to students and their appropriate behaviors (compliance with COVID-19 preventive measures and COVID-19 information sharing).

This research used structural equation model (SEM) and generalized structural equation model (GSEM) to analyze the data collected from students during the COVID-19 pandemic.

The findings revealed that risk communication in mass media was positively associated with students' compliance with preventive measures and sharing pandemic-related information. Additionally, their compliance behavior was positively associated with their information-sharing behavior.

This research offers some implications regarding the containment of a highly-infectious virus, especially for the context when the risk of outbreak is high and an effective vaccine is not available, by focusing on risk communication and compliance and information-sharing behaviors.

This research is one of the early attempts to examine the risk communication to students, their compliance with preventive measures and their information-sharing behavior during a pandemic.

This study aims to understand how information-sharing in live-streaming is formed through a motivational perspective. The authors provide a framework to explain how live-streaming services and attachment affect viewers' information-sharing decision.

This study uses a survey-based method to collect data and partial least squares to analyze them.

The proposed hypotheses are largely supported. The results show that information-sharing intention is influenced by both attachment to a creator and attachment to a group. These attachments are positively affected by live-streaming services. The findings contribute to live-streaming literature by conceptualizing motivation and motivational feedback as service and attachment respectively.

The findings suggest that live-streaming managers emphasize social-technical features and relationship development with others (creators, group members) to motivate viewers' participation in live-streaming.

This study addresses the gap of lacking a systematic consideration of motivation in the live-streaming context. As such, the authors conducted empirical research that describes the information-sharing through the motivation from service and feedback from attachment.

Despite the wave of enthusiasm for building information modelling (BIM) as a platform for information sharing, issues from the context of information-sharing behaviours still exist. The purpose of this paper is to explore the behavioural factors for successful information sharing in BIM projects in Malaysia.

Based on a literature review, a questionnaire was designed containing seven identified behavioural factors and their sub-elements. Data were collected through a questionnaire survey with 42 experienced BIM practitioners. In addition to that qualitative semi-structured interviews were conducted with nine construction practitioners in the Malaysian construction industry. Initially, a descriptive statistical analysis was adopted, followed by multivariate analysis that was employed to examine the possible effect of demographic attributes (i.e. nature of organisation and work experience in BIM) on the behavioural factors.

The analytical results indicated that communication, accountability and trust were the top three behavioural factors influencing successful information sharing. Additionally, the majority of the behavioural factors on information sharing were found to be not significantly dependent on both, the nature of organisations and the level of BIM experiences. Overall, the success of information sharing in the digital environment (i.e. BIM) depends on organisational behaviour supported by the collaborative constructs.

Due to the fact that BIM implementation in Malaysia is still in its infancy, this study was limited to local context with small-scale BIM practitioners. Therefore, their views may not represent all BIM-related stakeholders in the industry.

The success of information sharing in BIM projects is a result of a combination of various factors, and this study provides construction practitioners with information on the behavioural factors, which could assist them in creating collective and collaborative information sharing in a digital environment.

Despite the fact that this study is country specific, the paper presents a new perspective on the behavioural context of information sharing in BIM projects. The findings further extend the current BIM literature by providing an insight into what it takes for project teams to reinforce their information sharing in the Malaysian digital environment through improvements in behaviours.

Sharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.

A research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.

The analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.

This research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

Social media has progressively upgraded an interactive domain via online sociability and information-sharing. This study aims to formulate an information-sharing intention model by identifying the decisive role of intrinsic and extrinsic motivations.

Empirical data from 508 participants were collected to examine the structural model using structural equation modeling.

Results indicate that information-sharing intention is strongly promoted by intrinsic and extrinsic motivations. Furthermore, perceived herding, perceived crowd and intrinsic motivation boost substantially extrinsic motivation. Perceived herding is of utmost importance to extrinsic motivation, whereas emotional appeal and informative appeal are of paramount importance to intrinsic motivation. Moreover, source trust and exhibitionism are underlying motivations for intrinsic motivation.

The findings provide useful guidelines for practitioners to urge users into information-sharing via social media.

This study contributes significantly to the current literature by developing an effective mechanism of information-sharing through social media based on the motivational theory.

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

Although empirical tests of effective lean-team leadership are scarce, leaders are often blamed when lean work-floor initiatives fail. In the present study, a lean-team leader’s work values are assumed to affect his or her team members’ behaviors and, through them, to attain team effectiveness. Specifically, two of Schwartz et al.’s (2012) values clusters (i.e. self-transcendence and conservation) are hypothesized to be linked to team members’ degree of information and idea sharing and, in turn, to lean-team effectiveness. The paper aims to report the examination of these hypotheses.

Survey responses (n=429) of both leaders and members of 25 lean-teams in services and manufacturing organizations were aggregated, thereby curbing common-source bias. To test the six hypotheses, structural equation modeling was performed, with bootstrapping, linear regression analyses, and Sobel tests.

The positive relationship between lean-team effectiveness and leaders’ self-transcendence values, and the negative relationship between lean-team effectiveness and leaders’ conservation values were partly mediated by information sharing behavior within the team.

Future research must compare the content of effective lean-team values and behaviors to similar non-lean teams.

Appoint lean-team leaders with predominantly self-transcendence rather than conservation values: to promote work-floor sharing of information and lean-team effectiveness.

Human factors associated with effective lean-teams were examined, thereby importing organization-behavioral insights into the operations management literature: with HRM-type implications.

The purposes of this study are to examine how contractual and relational governance mechanisms influence total value created in a buyer–supplier relationship and to investigate how supplier’s information sharing and information sharing asymmetry between two exchange parties differentially moderate these associations.

The study is conducted with a sample of 110 buyer–supplier matched dyads in various industries in Vietnam.

This study confirms that contractual governance and relational governance have curvilinear effects on total relationship value. Governance mechanisms have distinct interactions with supplier’s information sharing and information sharing asymmetry to influence total relationship value.

Future study could expand the sample to various countries to investigate the role of cultural factors in the effects of contractual and relational governance.

This study draws implications for supplying managers about how to govern a relationship with a buying firm with which they are sharing information. It also provides implications about how to use contractual and relational governance to control the effects of supplier’s information sharing and information sharing asymmetry, on total relationship value.

This study extends the information sharing literature by looking into the effect of supplier’s information sharing on both parties’ relationship value. It contributes to the governance literature by investigating curvilinear effects of contractual and relational governance on relationship performance.