Cross-sectional data is pervasive in information systems (IS) research. This editorial reviews
cross-sectional studies, summarizes their strengths and limitations, and derives use cases of …

Fake news has led to a polarized society as evidenced by diametrically opposed
perceptions of and reactions to global events such as the Coronavirus Disease 2019 …

Online platforms such as Amazon's Mechanical Turk (MTurk) are increasingly used by
researchers to collect survey and experimental data. Yet, such platforms often represent a …

In this study, we explore the impacts of big data's main characteristics (ie, volume, variety,
and velocity) on innovation performance (ie, innovation efficacy and efficiency), which …

Over the past 2 decades, many social scientists have expanded their data-collection
capabilities by using various online research tools. In the 2011 article “Amazon's Mechanical …

The current COVID-19 crisis has seen governments worldwide mobilising to develop and
implement contact-tracing apps as an integral part of their lockdown exit strategies. The …

Qualitative comparative analysis (QCA) allows researchers to study how configurations of
conditions lead to outcomes and, thereby, richly explain the dynamics of complex digital …

Employees in organizations face technostress that is, stress from information technology (IT)
use. Although technostress is a highly prevalent organizational phenomenon, there is a lack …

GenAI-driven technologies such as ChatGPT influence activities in all areas of life and are
used in private and work contexts. This study uses an individual-centered perspective to …

The dramatic increase in social media use has challenged traditional social structures and
shifted a great deal of interpersonal communication from the physical world to cyberspace …