Information and Management

• Improving tourism recommender system by endowing proactive capacity.
• Incorporating forecasting module into design of tourism recommender system.
• Introducing an AI-based forecasting model to extrapolate potential risks.
• ...

Recommender systems have been used extensively in tourism activities to aid travel decision making. However, existing systems design routes using mainly deterministic information, ignoring the negative impacts of uncertain events, likely ...

Research on information and communication technology (ICT) innovation highlights its crucial role in fostering socioeconomic development in underdeveloped regions. Prior studies have shown that the unique context of these regions can present ...

• Investigation of specific configurations of Fintech attributes leading to high Fintech use and not-high Fintech use on four Fintech types.
• A theoretical framework consisting of the three Fintech dimensions - innovation, financial ...

Fintech has attracted attention based on its fusion of technology and finance; however, how its elements should be combined and configured has yet to be explored. To fill this research gap, this study investigates specific and multiple ...

This study examines antecedents that drive platform users to manipulate artificial intelligence (AI) recommendation algorithms. Based on the persuasion knowledge model (PKM), survey data collected from YouTube and Instagram users reveal that AI ...

Leveraging the IT-enabled organizational capabilities perspective, we develop a moderated mediation model to examine the mechanisms and boundary conditions through which e-commerce capability affects decision-making performance. Using a sample of ...

In the digital era, social network service (SNS) significantly influences travel behavior. Understanding SNS spillover effects is crucial for accurate tourism demand prediction. This study introduces SNS co-occurrence similarity (SNS-COS) to ...

As remote-work employees increasingly participate in virtual meetings with personal devices in personal settings, camera use becomes discrepant among group members when someone turns it on while others are off. However, it remains unknown how one-...

One of the persistent challenges in crisis detection is inferring actionable information to support emergency response. Existing methods focus on situational awareness but often lack actionable insights. This study proposes a holistic approach to ...

Digital detox is gaining increasing attention as a method of self-control to address the adverse effects of prolonged leisure information and communication technology (ICT) use. However, the existing literature on this matter uses inconsistent ...

Our study empirically examines whether users’ personality traits accentuate or attenuate the influence of emotions in microblogs on users’ sharing behavior over time on a social media platform (Weibo in particular) during emerging infectious ...

Our study proposes and tests a method for developing domain-specific dictionaries tailored for textual analysis in information systems research. Traditionally, dictionaries have been widely used for content classification according to sentiment; ...

In the late 1990s, most organizations adopted enterprise systems (ES) to automate their core business processes. The very same organizations are presented with a new wave of opportunities to innovate with digital technologies—technologies that ...

We investigate the performance consequences of on-screen interruptions in mobile use. Drawing on capacity theory of attention, we conjecture that attention capacity may be lower in mobile use relative to PC use. A self-report instrument provides ...

Crowdfunding provides an effective way to raise small amounts of funds from a large number of backers. This study aims to explore the impact on backer behavior and subsequent funding outcomes when tangible rewards are emphasized in charitable ...