Search results

This research seeks to simultaneously test the effect of attitude towards the behavior of following the “Stay at Home” policy, subjective norm, perceived behavioral control, perceived susceptibility and perceived severity on people's intention to follow the “Stay at Home” policy during COVID-19 pandemic.

The data were collected through an online survey with 148 respondents in the Greater Area of Jakarta, Indonesia. The data were then analyzed using multiple regressions.

The findings show that attitude towards the behavior, subjective norm and perceived behavioral control positively and significantly affect intention to follow “Stay at Home” during the COVID-19 pandemic. However, perceived susceptibility and perceived severity of COVID-19 do not significantly influence the intention to follow “Stay at Home” during the COVID-19 pandemic.

This research was limited to the Greater Area of Jakarta, Indonesia. Furthermore, sampling was done through convenience sampling. Therefore, future research should be conducted in a different context to test the generalization of this research's findings.

To encourage citizens' adherence to the stay-at-home policy during the COVID-19 pandemic, they must be directed to have positive attitudes toward the policy. Financial and non-financial supports are critical to ensure citizens' ability to sufficiently observe the policy sufficiently. Another important aspect is the influence of leaders and public figures to consistently call for obedience consistently.

This is the first research that studies citizens' behavior related to the “Stay at Home” policy requisitioned by the government to hinder the spread of COVID-19.

This research aims to test the effects of attitude, perceived behavioral control (PBC), subjective norm and perceived quality of official coronavirus disease 2019 (COVID-19) websites on intention to use official COVID-19 websites.

This study collected data using an online questionnaire. It involved 120 Indonesians who used official COVID-19 websites. The data were analyzed using the multiple regression analysis.

This research found that intention to use official COVID-19 websites is significantly and positively affected by the quality of the website, attitude and subjective norm. PBC does not influence intention to use official COVID-19 websites.

This research was only conducted in the context of Indonesians. Furthermore, a convenience sampling technique was applied. Future research should be done in a different context with larger samples to test the generalization of this research's findings.

To improve intention to use official COVID-19 websites, people must be directed to have a positive attitude toward the website. The developer must ensure the quality of the website. It is also essential to involve leaders and public figures whose opinions might be able to sway citizens to use official COVID-19 websites consistently.

This research is the first one of its kind that studied citizens' intention to use official COVID-19 websites.

This research investigates factors affecting the intention to sort waste. Specifically, this research aims to develop a waste-sorting intention model by extending the theory of planned behavior (TPB) model and to test the model to ensure the model's goodness-of-fit, validity and reliability.

This research used a quantitative research methodology. Data were collected from 460 respondents using an online questionnaire. Some statistical analyses were performed to analyze the data: descriptive statistics, factor analysis, confirmatory factor analysis-structural equation modeling (CFA-SEM), SEM and Cronbach's alpha analysis.

The result shows that the intention to sort waste was directly affected by attitude, subjective norms, perceived behavioral control (PBC), moral obligation and facility support. Environmental concerns, waste-sorting knowledge and time availability indirectly influenced the intention to sort waste. The testing indicated that the proposed model was fit, valid and reliable.

The model provides a more comprehensive understanding of waste-sorting intention. The central and local governments can use the results to encourage waste-sorting intention in the community.

This research is believed to be the first study to develop and test the waste-sorting intention model that extends the TPB model by incorporating moral obligation, facility support, policy and regulation support, environmental concerns, waste-sorting knowledge and time availability into the traditional TPB model.

This study assesses the current landscape of business continuity management (BCM) research while exploring research trends, structures and delineating potential future directions.

A comprehensive bibliometric analysis was conducted on 360 articles from the Scopus and Web of Science databases using Biblioshiny software. A meta-synthesis was employed to aggregate and synthesize findings from the bibliometric results.

The results demonstrate a notable increase in publication numbers since the onset of the pandemic, reaching a peak in 2022 with a total of 342 articles. A collaborative bond among scholars transcends geographical boundaries and national affiliations. The analytical results propose avenues for future research, addressing crucial areas such as the integration of business continuity management systems (BCMS), the development of BCM frameworks and a comparative analysis of business impact analysis (BIA) frameworks through pertinent theories.

The study contributes theoretical and practical implications, serving as a valuable resource for academics and practitioners seeking to deepen their understanding of BCM’s role in business recovery and preserving organizational continuity in the face of disruptions.

This study pioneers a comprehensive approach by integrating bibliometric analysis and qualitative meta-synthesis, providing a consolidated overview of BCM research. Additionally, it presents future research proposals in this area.

Recently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities.

The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed.

The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed.

This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance.

There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.

Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.

This is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.

The structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.

Further, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.

The empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.

The purpose of this study is to explore the potential impact of blockchain technology on supply chain performance (SCP). This study further delves into the enablers of blockchain adoption (BA) in SCM and investigates both the direct and mediated effects of blockchain assimilation on garnering a competitive edge in the supply chain and bolstering innovation proficiency, ultimately enhancing SCP.

This study used a quantitative approach, leveraging partial least squares structural equation modelling. Empirical data were sourced from 500 validated data sets obtained through questionnaires.

The results indicate that technological readiness and knowledge sharing are key drivers for integrating blockchain into supply chains, with technology readiness displaying a substantially stronger influence. Furthermore, BA significantly enhances supply chain innovation capabilities (SCIC), competitive performance (CP) and overall supply chain efficiency. Notably, both SCIC and CP mediate and amplify the positive effects of blockchain on SCP, emphasising the vital role of innovation and competition in optimising the benefits of blockchain.

To the best of the authors’ knowledge, this study is the first to bridge the gap in the literature connecting SCM and blockchain. The established model augments the theoretical discourse on the SCM-blockchain, offering scholars a validated framework that can be adapted and built upon in future studies.