Barriers in digital workplaces during COVID-19 lockdowns: a phenomenological longitudinal study using actor-network theory

Abstract

We present a one-year longitudinal phenomenological study that explores how individuals perceived and overcame barriers to remote work during COVID-19 lockdowns. Our study builds upon a previous systematic literature review and utilizes actor-network theory (ANT) to analyze data collected from a survey and two rounds of interviews spaced one year apart. Through this approach, we gain insights into the networks of human and nonhuman actors that emerged and the challenges faced by remote employees. We compiled a comprehensive list of barriers to anticipate in these circumstances and identified those unique to extreme situations. These findings have implications for companies seeking to establish digital workplaces resilient to future crises.