In recent years, the topic of algorithmic management has received increasing attention in information systems (IS) research and beyond. As both emerging platform businesses and established companies rely on artificial intelligence and sophisticated software to automate tasks previously done by managers, important organizational, social, and ethical questions emerge. However, a cross-disciplinary approach to algorithmic management that brings together IS perspectives with other (sub-)disciplines such as macro- and micro-organizational behavior, business ethics, and digital sociology is missing, despite its usefulness for IS research. This article engages in cross-disciplinary agenda setting through an in-depth report of a professional development workshop (PDW) entitled “Algorithmic Management: Toward a Cross-Disciplinary Research Agenda” delivered at the 2021 Academy of Management Annual Meeting. Three leading experts (Mareike Möhlmann, Lindsey Cameron, and Laura Lamers) on the topic provide their insights on the current status of algorithmic management research, how their work contributes to this area, where the field is heading in the future, and what important questions should be answered going forward. These accounts are followed up by insights from the breakout group discussions at the PDW that provided further input. Overall, the experts and workshop participants highlighted that future research should examine both the desirable and undesirable outcomes of algorithmic management and should not shy away from posing ethical and normative questions.

Banks typically attempt to quantify climate-related risks, whether physical or transition ones, by adopting a top-down or a bottom-up analytical approach for the risk estimation of their borrowers. The two analytical approaches for risk estimation are regarded as mutually exclusive, when, in reality, they can complement each other in a mutually beneficial way. We discuss the challenges and opportunities of both analytical approaches with a focus on their applicability for commercial banks’ loans, and highlight directions for future research.

This edited collection explores the past, present, and future of artificiality and sustainability in entrepreneurship, the unforeseen consequences, and how to head forward to a sustainable future. First, we integrate the concepts of entrepreneurship and artificiality. We propose that entrepreneurs produce artefacts of entrepreneurship - new ventures, entrepreneurial firms, etc. - that have functions and goals set to respond to the conditions of the diverse environments in which they operate. Second, we contend that the prevailing technological environment can be perceived as an artefact that significantly impacts entrepreneurs, new ventures, and entrepreneurial firms. Digital technologies effectuated new forms of ventures such as born-digital and transformed incumbents to adopt them. Digital technologies come with virtualising our everyday environments and induce behavioral and cognitive changes, which call for new capabilities, e.g., dynamic capabilities. Finally, we conclude with further research questions to be addressed by the entrepreneurship, technology management and sustainability scholars.

The increasingly prevalent diet-related non-communicable diseases (NCDs) constitute a modern health pandemic. Higher nutrition literacy (NL) correlates with healthier diets, which in turn has favorable effects on NCDs. Assessing and classifying people's NL is helpful in tailoring the level of education required for disease self-management/empowerment and adequate treatment strategy selection. With recently introduced regulation in the European Union and beyond, it has become easier to leverage loyalty card data and enrich it with nutrition information about bought products. We present a novel system that utilizes such data to classify individuals into high- and low- NL classes, using well-known machine learning (ML) models, thereby permitting for instance better targeting of educational measures to support the population-level management of NCDs. An online survey (n = 779) was conducted to assess individual NL levels and divide participants into high- and low- NL groups. Our results show that there are significant differences in NL between male and female, as well as between overweight and non-overweight individuals. No significant differences were found for other demographic parameters that were investigated. Next, the loyalty card data of participants (n = 11) was collected from two leading Swiss retailers with the consent of participants and a ML system was trained to predict high or low NL for these individuals. Our best ML model, which utilizes the XGBoost algorithm and monthly aggregated baskets, achieved a Macro-F1-score of .89 at classifying NL. We hence show the feasibility of identifying individual NL levels based on household loyalty card data leveraging ML models, however due to the small sample size, the results need to be further verified with a larger sample size.

The global food system accounts for 25–30% of anthropogenic greenhouse gas emissions. A large share of these emissions is due to individual food shopping patterns. Despite the rising concern about the environment, many individuals fail to act upon it and change their food consumption. In this study, we attempt to motivate individuals to reduce their food-shopping-induced environmental footprint. To narrow the intention-behavior gap, we propose a novel technical system that gives automated near-term sustainability feedback on individuals’ food shopping recorded on digital receipts and communicates this feedback through the mobile application BetterPlanet, Based on a small sample (n = 8), we find a directional decrease in the overall CO2-Scores. Therefore, our study demonstrates the technical feasibility of automated sustainability feedback from digital receipts. The proposed energy-weighted CO2-Scoring Model contributes to the growing knowledge body of sustainability assessment.

Catalogue of the exhibition Ecophilia, Museo della Montagna, Torino, 09.06.2021 - 23.01.2022. Ecophilia emerges from the sphere of considerations in matters of sustainability that the Museomontagna has been exploring since 2018, fully aware of the role that mountain culture, and the institution that represents it, plays in critically tackling the environmental and social challenges of today and tomorrow. The exhibition evolves around the concept of “ecophilia”, understood, according to the definition proposed by Ruyu Hung − Professor of Philosophy of Education at the Department of Education of the National Chiayi University of Taiwan – as a guiding thread for conceiving a new sense of empathy, an affective and corporeal bond with the world, both living and non-living, with which we coexist. A goal that we can reach by shifting from an anthropocentric way of thinking to a post-anthropocentric and ecocentric one, embracing a new multi-species vision of the world, creating new narrations and constructing new constellations of opportunities. Ecophilia is the outcome of a long research path that, over the course of a year or so, involved philosophers, anthropologists and experts in sustainability and mountain culture in a multidisciplinary dialogue with the artists and the curator, the results of which are here on display for the public. The project underlines the urgency of a linguistic, cultural, educational and emotional revolution as an indispensable tool for tackling current challenges and as an extraordinary opportunity for updating our paradigms and our vision of the world. Through the work of six Piedmontese artists or artistically linked to Turin, the exhibition proposes a series of visions that overturn the traditional image with which we observe, feel and relate to mountains and the natural world in general. The works presented in Ecophilia are alternative and unusual ways of looking at and relating to mountains and nature. They shift the barycentre from which we observe the world, triggering a dynamics of de-anthropisation of thought and narrating the relationship between the human species and the outside – whether it be social, animal, vegetable or cosmic – as a moment of encounter that needs to be rethought. The viewpoints proposed bring into play and query mental, cultural and emotional processes, on both an ontological and evolutionary plane. Broadening the stance from the artistic to the social plane, Ecophilia lays the bases for observing mountains as a preferential place for the “ecopedagogy” theorised by Ruyu Hung and for a renewal of educational models. As land at the centre of contemporary environmental exigencies, the mountains of the future do not position themselves solely as an observatory on the front line for analysing the climate changes in progress but also as a preferential laboratory within which a new empathic relationship with the world can be explored. Mountains and metropolitan-mountain lands, by extension in terms of geographic surfaces and for environmental features regarding natural resources, propose themselves to be preferential future destinations where one can flee from global warming, and where one can live experiences of reconnection with both one’s own and the collective ego and where the healing power of Nature can be rediscovered, extraordinary spaces for constructing ecophilia and for looking after the world.

The idea of a circular economy has become increasingly popular among scholars, practitioners, and policy-makers. It promises to reduce greenhouse gas emissions and resource depletion for a more nature-friendly economy. Despite the increasingly widespread use of the term, the implementation of the circular economy is falling behind, as barriers persist. One promising avenue for future research stems from the potential of circular ecosystems and the systematic coordination among stakeholders to implement circularity. This review introduces the circular economy and ecosystems literature, analyzes the literature on the circular ecosystem concept, and contributes by suggesting a classification of circular ecosystems, and synthesizing main success factors in circular ecosystems literature. The classification and success factor analysis thereby decreases the current uncertainty around what a circular ecosystem is and what may make it successful.