Search results

Social media provides a convenient way to popularise first aid knowledge amongst the general public. So far, little is known about the factors influencing individuals’ adoption of first aid knowledge on social media. Drawing on the information adoption model (IAM), this study investigates the joint effects of cognitive factors (e.g. perceived information usefulness (PIU)), affective factors (e.g. arousal (AR)) and social factors (e.g. descriptive norms (DN)) on first aid knowledge adoption (KA) and examines their antecedent cues from the perspective of information characteristics.

The data were collected from 375 social media users, and the structural equation model was adopted to analyse the results.

The results indicate that PIU, AR and DN all have positive direct effects on first aid KA. Additionally, the study highlights the positive synergistic effect of AR and PIU. Furthermore, the study suggests that AR is determined by message vividness (MV) and emotional tone (ET), whilst DN are determined by peer endorsement (PEE) and expert endorsement (EXE).

Our research is groundbreaking as it delves into the adoption of first aid knowledge through social media, thus pushing the boundaries of existing information adoption literature. Additionally, our study enhances the IAM by incorporating emotional and social elements and provides valuable insights for promoting the spread of first aid knowledge via social media.

Social media platforms offer users the opportunity to engage with fact-checking posts aimed at countering misinformation surrounding political figures. However, limited research considers how the efficacy of fact-checking messages hinges on individuals’ perceptions and acceptance of the information, with user comments and individuals’ pre-existing partisan viewpoints both presenting possible barriers to positive reception of fact-checking messages.

To bridge this research gap, this study conducted a 2 (misinformation exposure types: partisan worldview-consistent misinformation vs partisan worldview-inconsistent misinformation) × 4 (correction exposure types: a fact-checking post with no comments vs a fact-checking post with negative comments vs a fact-checking post with positive comments vs no fact-checking post) between-subject online experiment.

We found significant main effects of user comments and partisan worldview on political misbelief and political attitudes. Importantly, among participants exposed to worldview-inconsistent misinformation, negative comments significantly decreased voting support compared to positive comments or no comments.

This research is significant for the theoretical examination of the interaction between user comments and partisan worldview in influencing the effectiveness of political fact-checking messages. In addition, it has practical implications for fact-checking organizations and comment moderation in the fight against political misinformation.

This study presents original research examining the impact of social media user comments beneath a fact-checking post on beliefs in misinformation and evaluations of political candidates. While prior research has demonstrated how partisan worldview affects the effectiveness of corrections, the interaction between social media user comments and partisan worldview has not yet been explored.

The purpose of this study is to examine how users’ intention to adopt online banking is influenced by perceived trust (PT), awareness (AWE) and social influence (SI) and to assess whether customer relationship management (CRM) moderates the impact of these factors on adoption intentions.

Data were collected from 565 respondents in Pakistan using a stratified sampling technique. The analysis was conducted using Partial Least Squares Structural Equation Modeling with SmartPLS-4 to examine the proposed relationships.

This study’s findings reveal that PT, AWE and SI do not directly influence users’ intention to adopt online banking. Trust impacts intention through perceived ease of use, while AWE and SI affect intention via both perceived usefulness and ease of use. CRM negatively moderates SI but positively moderates the effects of PT and AWE on users’ intention.

This study explores the novel role of CRM as a moderator, offering fresh insights into how CRM enhances the impact of PT, AWE and SI on online banking adoption.

This research used the technology acceptance model (TAM) to explore the effect of customer relationship management, financial literacy and social influence on users’ intentions to adopt online banking. Furthermore, it explores the moderating role of personal innovativeness in technology in this context.

The measuring scale in this study was refined iteratively through talks with domain experts. A digital survey was used to gather data from 524 respondents, and PLS-SEM was used for analysis.

The findings reveal that customer relationship management and financial literacy significantly impact perceived usefulness and perceived ease of use but not the intention to adopt online banking. Perceived usefulness and perceived ease of use significantly influence intention, whereas personal innovativeness and social influence do not. Additionally, the moderation effects of personal innovativeness between customer relationship management, financial literacy, social influence and intention are insignificant.

This innovative study introduces personal innovativeness in technology as a moderator in the perspective of online banking adoption, setting new standards in the field. This important point has not been covered in previous studies.

There is a general assumption that the early involvement of the contractor contributes to value in construction projects. While early contractor involvement (ECI) may improve the value, some studies identify challenges with ECI. This paper aims to identify the main parameters that can be used to determine the optimal time for contractor involvement and examine how these parameters can be used by clients to develop a systematic method for finding the optimal timing for involvement.

Literature studies, interviews, workshops and focus-group meetings identified six main parameters essential for developing a method to determine the ideal timing for ECI.

The six identified parameters are activity, complexity, criticality, technical competencies, relational competencies and uncertainty. These parameters can be used to identify the gap between the available competency in the project team and the needed competency to perform an activity.

Although clients have ways to identify the optimal time for contractor involvement, these ways are mainly subjective and based on in-house practice. By evaluating these six parameters, a more systematic and objective method for early involvement can be developed.

The main purpose of the study was to analyse the mediating effects of psychological safety (PS) and psychological availability (PA) on the relationship between leader trustworthiness (LT) and intrapreneurial behaviour (IB) among employees from the manufacturing industry in Ghana.

A sample of 291 who were employees from five manufacturing companies in the industrial hub of Ghana provided data for the study. A closed-ended questionnaire, specifically a seven-point Likert-type scale, was the instrument used for the data collection. The seven hypotheses developed were tested using a structural equation model.

The study established that LT was related to PS and PA but not IB. Like PS, PA was found to be related to IB. Similarly, both PS and PA were related to IB. Again, both PS and PA fully mediated the relationship between LT and IB. Also, gender had a confounding effect on IB.

LT yields direct positive outcomes such as PS and PA as well as indirect IB for employees and organisations. For organisations, especially in the manufacturing sector, to have employees who are psychologically safe, psychologically available and intrapreneurial, there should be a focus on trustworthy leaders. The leaders should be encouraged to be transparent and communicate by way of their actions and inactions and trustworthy values. Leadership training, colleague supervisor support and participation in professional and or management development programmes should be used to acquire trustworthy values.

This study investigated the mediating roles of PS and PA on the relationship between LT and IB among employees of manufacturing firms in Ghana, which has not received the needed attention in the literature despite the challenges manufacturing firms encounter.

Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.

An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.

Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.

The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.