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Sustainable development (SD) does not usually form part of the curriculum of ICT-related study programs such as Computer Science, Information Technology, Information Systems, and Informatics. However, many topics form a bridge between SD and ICT and could potentially be integrated into ICT-related study programs. This paper reports the findings of a study into which specific topics in the field of SD have the greatest potential to motivate students on ICT-related study programs to engage with the topic of sustainability.

In this exploratory study, the authors evaluated Bachelor’s and Master’s courses that introduced the topic of SD to students on ICT-related study programs. The evaluation focuses on the insights that the students gained into sustainability and the extent to which their motivation to engage with the subject was increased. The evaluation combines qualitative and quantitative approaches.

The authors identify five thematic clusters with the greatest potential to motivate students to engage with the topic of sustainability: A conceptual model of the positive and negative impacts of ICT; Reports on the recycling of ICT hardware; Examples of using ICT to reduce greenhouse gas emissions with a focus on the substitution of virtual for physical presence; Statistical data on post-industrial seemingly dematerialized economies and the contradiction with regard to the total material demand of such economies; Evidence for rebound effects that lead to increasing demand for goods or services that are produced with less energy input or can be consumed faster.

ICT is a transformational and to a certain extent disruptive technology. It is therefore important to discuss the development of ICT and its applications in the context of SD. Several authors have pointed out the need to integrate the topic of sustainability into ICT courses at universities and similar, but few have discussed how this can be done in practice. Our study is the first to explore which topics have the greatest potential to motivate students on ICT-related programs to engage with the area of SD.

The Italian government addressed the first wave of its COVID-19 outbreak with a series of social restrictions and calculative practices, all branded with the slogan #istayathome. The hashtag quickly went viral, becoming both a mandate and a mantra and, as the crisis played out, we witnessed the rise of the Italian social movement #istayathome. This study examines how the government's calculative practices led to #istayathome and the constituents that shaped this social movement.

The authors embrace social movement theory and the collective identity perspective to examine #istayathome as a collective action and social movement. Using passive netnography, text mining and interpretative text analysis enhanced by machine learning, the authors analysed just over 350,000 tweets made during the period March to May 2020, each brandishing the hashtag #istayathome.

The #istayathome movement gained traction as a response to the Italian government's call for collective action. Thus, people became an active part of mobilising collective responsibility, enhancing the government's plans. A collective identity on the part of the Italian people sustained the mass mobilisation, driven by cohesion, solidarity and a deep cultural trauma from COVID-19's dramatic effects. Popular culture and Italy's long traditions also helped to form the collective identity of #istayathome. This study found that calculative practices acted as a persuasive technology in forming this collective identity and mobilising people's collective action. Numbers stimulated the cognitive, moral and emotional connections of the social ties shaping collective identity and responsibility. Thus, through collective identity, calculative practices indirectly influenced mass social behaviors and the social movement.

This study offers a novel theoretical perspective and empirical knowledge to explain how government power affects people's culture and everyday life. It unveils the sociological drivers that mobilise collective behaviors and enriches the accounting literature on the effects of calculative practices in managing emergencies. The study contributes to theory by providing an understanding of how calculative practices can influence collective behaviors and can be used to construct informal networks that go beyond the government's traditional formalities.

In the face of numerous explanations for why AI-driven decision support systems (DSS) have failed to deliver on their promise of improving organizational decision-making, this paper problematizes the under-theorized mismatch between the design of DSS and the actual decision-making processes that the technology is supposed to support. We examine this mismatch by studying the implementation of a DSS in the intensive care unit (ICU) of a large academic hospital.

Based on 27 months of ethnographic fieldwork, we contend that the studied DSS was designed on the assumption that individual intensivists are responsible for making life-critical discharge decisions at one particular moment in time.

However, our study of actual decision-making practices reveals that discharge decision-making is instead a protracted process, involving multiple actors fragmented across time and space. To account for these complexities, we advocate for a “dynamic routines” perspective, which highlights the actual patterns of action pursued throughout a clinical decision-making process.

Our application of this perspective contributes to a more granular understanding of discharge decision-making, which can help future DSS designers better grasp the peculiarities and complexities—or “anatomy”—of the decision-making process. We also suggest integrating an “anticipatory ethnographic approach” into the design and pre-implementation phases of future DSS to help bridge the current gap between design assumptions and actual decision-making practices.

The aim of this study is to investigate both the path taken by companies in order to survive in a competitive environment and the factors that have favoured or limited their development.

The study was carried out using a retrospective approach. Empirical evidence was gathered using a descriptive survey and data collected during previous research programs involving 100 SMEs located in the Veneto region (Italy).

The findings show that a lack of organizational capabilities is one of the main factors limiting development in SMEs. The companies investigated appear to follow similar paths and performance measurement systems (PMS) could play a key role as a potential driver of managerial development in SMEs.

The study refers solely to Italian SMEs located in the Veneto region. Conclusions on the role played by PMS as a system for supporting development were based on a theoretical study; an ad hoc empirical study would be useful for further investigation of this topic.

The study emphasizes the important role played by organizational capability for favouring the competitiveness and survival of SMEs. The study indicated that in SMEs managerial developments usually come later, following changes in strategy. Firms could prevent managerial crisis by implementing managerial systems.

Traditionally the growth of SMEs is measured by turnover and number of employees. This study highlights the importance of investigating not only quantitative, but also qualitative growth to analyse development in SMEs. PMS is presented as a key managerial system that can support qualitative growth and promote the competitiveness of SMEs.