Gitika Vyas

The beginning of this decade brought utter international chaos with the COVID-19 pandemic and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across the globe. People have been showcasing their opinions through different communication media, of which social media is the prime source. Consequently, it is important to analyze...

Technostress is often characterized in information systems (IS) research as empirical research examined to understand the underlying causes of stress and strain among information and communication technologies (ICTs) users. However, most literature on technostress has emphasized on quantitative and qualitative analysis techniques to conceptualize t...

The world is on the verge of rapid technological advancements, and acceptance. Healthcare is also influenced by recent innovations such as medical imaging and electronic patient health records. Thus, to maintain the patient's record in this digital era giant healthcare providers are adopting internet-based services such as patient portals that are...

Advancement in technology provides numerous solutions to not only legitimate businesses but to illegal trades as well. Selling substances, drugs, and prohibited merchandise and goods on the internet comes under illegal trading. The internet we surf is merely a thin layer of this deeply rooted miraculous mechanism of connecting the world. The dark w...

This paper presents a systematic literature review to provide a conceptual framework and future research directions for the identification and detection of health misinformation on social networking sites. We have found the health misinformation problem is yet to evolve and requires more exploration towards the identification of reliable techniques...

The rapid growth in information sharing on social media has defined a new information age in our society. Microblogging sites, such as Twitter, gained immense popularity during the COVID-19 pandemic. We developed an automated framework to extract the positive, negative, and neutral sentiments from tweets, and to further classify the tweets through...

By utilizing Design Science Research Methodology (DSRM), this work aims to provide an artifact for predicting patient's responses for future hospital recommendations. We used hospital consumer assessment of healthcare providers and systems (HCAHPS) survey data, Timely and effective care (TEC) data, and Hospital general information (HGI) data to bui...