One of today's grand societal challenges is to replace the current 'take-make-waste' economic model with a circular economic model that allows a gradual decoupling of economic activities from the consumption of finite virgin resources. While circular economy (CE) scholars have long lauded digital technologies such as sensors, distributed ledgers, or platforms as key enablers, our own community has not fully explored the potentials of information systems (IS) for a CE. Considering recent technological advances in software and hardware and our history of helping address wicked challenges, we believe the time is ripe to mobilise IS scholarship for a CE. Our findings from an interdisciplinary literature review show that research has primarily examined IS potentials for increasing efficiency of isolated intra-organisational processes while neglecting the larger sustainability potential of IS to establish circular material flows-that is, slow down and close material loops across entire product lifecycles. In response, we propose directions for IS research that develop our knowledge of how IS can help understand and enact circular material flows to intensify and extend use of products and components and recycle waste materials. Our directions offer pathways to building and evaluating the problem-solution pairing that could characterise a prolific CE-IS relationship.

Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste management. While these advances promise an increasingly digitalized future for collecting, sorting, and recycling waste material, little is known about the current extent of digitalization by waste management firms. Available studies focus on firms’ digitalization intentions, largely neglecting the level of actual adoption of digital technologies, and do not differentiate the level of digitalization alongside different steps of the waste management value chain. Our study reports on a cross-sectional descriptive survey that captures current digitalization efforts and strategies of 130 public and private waste management firms in Germany. We analyze their levels of digitalization along with different steps of the waste management value chain, explore their different objectives, approaches, and transformational measures with regard to digitalization. Our findings reveal that while the perceived importance of digitalization in the waste management sector continues to grow, the actual adoption of advanced digital technologies falls notably behind intentions reported in 2016 and 2017. We explore the reasons for this gap, point out so far largely ignored research opportunities, and derive recommendations for waste management firms and associations.

Research on IS solutions for environmental sustainability have evolved to a modest, but firm body of knowledge. Despite this progressive understanding about the potential of IS in enabling environmental sustainability, our academic practices seem widely unaffected by these insights. The way we do research or conduct teaching is rarely influenced by sustainability considerations. For example, before the pandemic many of us belonged to a hypermobile group that travelled 5-6 times more than the average employee. Our research is also often not aligned with environmental goals. We research digital technologies without sufficiently acknowledging the significant amounts of resources they consume. Similarly, our teaching often focuses on the effective development and use of information systems; however, rebound, second order, or spillover effects are barely covered. Based on these observations we raise the question: Are we practicing enough of what we preach? While recognizing several efforts of IS researchers, we can no longer ignore the 'environmental elephant in the room'. In our panel report, we discuss the status-quo and ideas to improve the environmental and societal impact of our academic practices and present three ideas to move forward: Leverage virtualization and limit air travel, overhaul teaching curricula, and recalibrate incentives and evaluation regimes.

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