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The purpose of this study is to explore the usefulness of popular reporting (PR) in an Italian city as a dialogic accounting tool for promoting citizens’ engagement with digital platforms. This study aims to contribute to the debate on democratic accounting technologies with a focus on PR and digital platforms, using the theoretical lens of dialogic accounting.

A longitudinal case study is used to analyse the implementation and evolution of PR in the city of Turin, Italy and explore how the city involved its citizens with digital platforms.

This study contributes to the debate on public accountability through dialogic accounting tools.

Multiple sources (surveys, interviews and interventionist workshops) are used to analyse Turin, Italy as a longitudinal case study.

This study offers practical reflections for legislators, politicians and public managers who need new knowledge and empirical analysis of the effective implementation of the PR as a tool for dialogue and empowering public accounting to hold continuous dialogue with the citizens.

PR can be considered a useful dialogic accounting tool for politicians, managers and government experts to encourage citizens’ engagement in a pluralistic society.

This study addresses the implications of smart city development paths (techno-centric and human-centric) by investigating the evolution of a city strategy, focusing on how different actors in a dialogue centred on strategic planning documents for Saint Petersburg, Russia, visualised the smart city and then made it calculable.

The authors conducted a case study based on a documentary analysis supported by ethnographic elements relying on the smart city conceptual proposals, the approved city strategy and the artifacts of expert discussions leading to the strategy implementation plan.

Through the lens of dialogue theory, the authors show how government and non-government actors in different organisational settings devised techno-centric smart city calculations, which arose despite an initial human-centric vision.

While the case study allowed the study to illustrate the depth and richness of the context of the authoritarian Russian state where the role of citizens in public decision-making is rather limited, different and even contrasting results could be produced in other contexts.

There is a gap between a smart city vision and its grounding in calculations. Thus, the human-centric elements require special attention, and the organisation of the dialogue on smart city strategy must enable plurality of voices besides those of government actors.

The case suggests viewing the human-centric and techno-centric perspectives not as dichotomous, but rather emerging consecutively throughout the journey from an initial strategic vision to its implementation in the city's calculations.

This paper aims to contribute to discussion around the need for improved models for change in a rapidly changing world. It also aims to provide insights for further discussion around how a Nordic management approach can relate to the need for new change ideas. Since Lewin proposed that change requires unfreezing, moving and refreezing, several changes in models have been introduced. Many models include similar factors such as the need for a vision, a clear process and to motivate change. These change factors are investigated in this paper and related to a fast-paced, uncertain and volatile environment

Based on a collaborative research approach, engaging with leaders in five organizations, all headquartered in the Nordic countries, this paper examines problems with traditional change models in a contemporary context as well as how these challenges could be handled.

This paper concludes that leaders still find value in traditional models but see that these models need to be adapted to include elements of more recent research. This paper suggests tweaks in traditional change factors and ends with a proposition with a renewed model for change.

The ideas in this paper could be seen as a bridge between traditional and modern models – a bridge that seems to be needed in practice. It draws on action research and close relationships with top management, as they are working with change – potentially giving the study a unique angle on a practical, widespread problem: succeeding with change

In this paper, we contribute to the theorizing of patient involvement in organizational improvement by exploring concepts of “learning from patients” as mechanisms of organizational change. Using the concept of metaphor as a theoretical bridge, we analyse interview data (n = 20) from participants in patient engagement activities from two case study organizations in Ontario, Canada. Inspired by classic organizational scholars, we ask “what is the organization that it might learn from patients?”

Patient involvement activities are used as part of quality improvement efforts in healthcare organizations worldwide. One fundamental assumption underpinning this activity is the notion that organizations must “learn from patients” in order to enact positive organizational change. Despite this emphasis on learning, there is a paucity of research that theorizes learning or connects concepts of learning to organizational change within the domain of patient involvement.

Through our analysis, we interpret a range of metaphors of the organization, including organizations as (1) power and politics, (2) systems and (3) narratives. Through these metaphors, we display a range of possibilities for interpreting how organizations might learn from patients and associated implications for organizational change.

This analysis has implications for how the framing of the organization matters for concepts of learning in patient engagement activities and how misalignments might stymie engagement efforts. We argue that the concept and commitment to “learning from patients” would be enriched by further engagement with the sociology of knowledge and critical concepts from theories of organizational learning.

The research aims to provide a longitudinal case study to understand how digital transformation can be embedded in municipal reporting frameworks. The central role of such technology becomes increasingly evident as citizens demand greater transparency and engagement between them and governing institutions.

Utilising a longitudinal case study methodology, the research focusses on Turin’s Integrated Popular Financial Report (IPFR) as a lens through which to evaluate the broader implications of digital transformation on governmental transparency and operational efficiency.

Digital tools, notably sentiment analysis, offer promising avenues for enhancing governmental efficacy and citizenry participation. However, persistent challenges highlight the inadequacy of traditional, inflexible reporting structures to cater to dynamic informational demands.

Embracing digital tools is an imperative for contemporary public administrators, promoting streamlined communication and dismantling bureaucratic obstructions, all while catering to the evolving demands of an informed citizenry.

Different from previous studies that primarily emphasised technology’s role within budgeting, this research uniquely positions itself by spotlighting the transformative implications of digital tools during the reporting phase. It champions the profound value of fostering bottom-up dialogues, heralding a paradigmatic shift towards co-creative public management dynamics.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.