Search results

This study aims to contribute to the existing literature by presenting new knowledge about sustainable development goals’ (SDGs) reporting practices through integrated reporting (IR). This paper’s ultimate goal is to dig to light companies’ main approaches to incorporating SDG disclosures into IRs.

This study puts forward both deductive content analysis and an inductive thematic analysis on a sample of worldwide leading IR adopters to assess what SDGs they disclose and how they integrate SDGs into the reports. Meaningful narratives and graphical illustrations are selected, categorised and discussed from a symbolic/substantive legitimacy perspective.

The results of this study highlighted that although a fair number of leading IR adopters addressed SDG issues, their pathways to disclosure were not uniform. In some cases, SDGs inspired substantive changes to internal management and process, communicated through an integrated approach. However, there was a persistent trend of using SDGs as camouflage and symbolic tool to enhance company’s reputation and obtain a licence to operate.

To the best of the authors’ knowledge, this was the first study that performed a deductive/inductive thematic analysis to engender insight into the most meaningful patterns followed by leading IR reporters worldwide to disclose their contributions to SDGs and address their legitimacy.

The purpose of this paper is to share the learning concerning how services and the paid carers working in them can support people living with dementia (PLWD) and their unpaid carers to overcome social isolation. This learning comes from the key findings from a Social Return on Investment (SROI) evaluation of a Shared Lives (SL) Day support service, known as TRIO.

SROI is a form of cost-benefit analysis that captures and monetises stakeholder outcomes. The SROI evaluation included a rapid evidence review, an interview study and a questionnaire study. The learning shared is drawn from the interview and questionnaire data that explored the reported outcomes relating to social connection, which included data related to participating in meaningful activities, confidence and independence.

PLWD who accessed the SL Day support service experienced better social connection, a sense of control over their activities (including their social activities) and community presence. A key foundation of these outcomes was the meaningful relationship that developed between the PLWD, their unpaid carer and the paid carer.

This evaluation was a pilot study with a small, albeit representative sample size.

The learning suggests feasible and effective ways for paid carers to support the social connection of PLWD and their unpaid carers with their wider community.

There has been little exploration of how community-based short breaks (like SL Day support) can enhance social connection. The authors drew on a social relational model lens to illustrate how this service type had supported successful outcomes of community and social inclusion for PLWD.

The aim of the study is to highlight the perspectives of accounting professionals in Romania on adopting a single set of financial reporting standards for small and medium-sized entities (SMEs).

The study included a combination of qualitative and quantitative methodologies. A qualitative approach was employed to examine the perspectives of accounting professionals on their inclination toward international standards for SMEs or national regulations. The quantitative approach involved doing content analysis on interviews to provide empirical support for the implementation of these standards in a national context.

Romanian accounting professionals want an improvement in financial reporting, but not necessarily through the use of an international standard. And although the level of convergence between the International Financial Reporting Standard (IFRS) for SMEs and national regulations is medium, it is not desirable to apply an international financial reporting standard for SMEs.

This study stands out as one of the few papers that delve into the perspectives of accounting professionals about adopting IFRS for SMEs in a specific country, offering a unique and engaging perspective.

The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

Using a framework tailored for AI studies, this research analyses structured interview data collected from auditors based in Poland.

The study identified new constructs to complement the taxonomy of arguments for AI legal personality: cognitive strain, consciousness, cyborg paradox, reasoning replicability, relativism, AI misuse, excessive human effort and substitution.

The insights presented herein are primarily derived from the perspectives of Polish auditors. There is a need for further exploration into the viewpoints of other key stakeholders, such as lawyers, judges and policymakers, across various global contexts.

The findings of this study hold significant potential to guide the formulation of regulatory frameworks tailored to AI applications in human-centric services. The proposed sui generis AI personality institution offers a dynamic and adaptable alternative to conventional legal personality models.

The outcomes of this research contribute to the ongoing public discourse on AI’s societal impact. It encourages a balanced assessment of the potential advantages and challenges associated with granting legal personality to AI systems.

This paper advocates for establishing a sui generis AI personality institution alongside a joint accountability model. This dual framework addresses the current uncertainties surrounding human, general AI and super AI characteristics and facilitates the joint accountability of responsible AI entities and their ultimate beneficiaries.

This paper aims to analyse the impact of the European Union (EU) Directive on the quality of sustainability reporting under the institutional theory lens. Specifically, the authors evaluate what kind of institutional pressure has the highest impact on the quality of corporate disclosure on sustainability issues.

The authors build a quality index based on the content analysis of sustainability information disclosed, before and after the transposition of the Directive, by Italian and Spanish companies belonging to different industries. The authors use an OLS regression model to analyse the effect of coercive, normative and mimetic forces on the quality of the sustainability reports.

The results highlight that normative and mimetic mechanisms positively affect the quality of sustainability reporting, whereas there is no evidence regarding coercive mechanisms, indicating that the new requirements do not provide a significant contribution to the development of better reporting practices, at least in the two analysed countries.

To the best of the authors’ knowledge, this is one of the few studies assessing the quality of sustainability reporting through an analysis involving the period before and after the implementation of the EU Directive. It enriches the literature on institutional theory by analysing how the different dimensions of isomorphism affect the quality of information disclosed by companies according to the EU requirements. It contributes to a better understanding of the impact of the non-financial information Directive, and the results of this paper can be relevant for regulators, practitioners and academia, especially in view of the adoption of the new Corporate Sustainability Reporting Directive proposal.

Considering the growing interests in managerial and accounting issues related to blockchain technology (BT), the study aims at identifying the main research venues in this specific field. In particular, the purpose is to understand the spatial and temporal production and distribution of research documents, highlighting the most relevant topics, the most influential authors and research.

This research carries out a bibliometric analysis of 189 research documents in the business, management and accounting areas. Data collection and refining is carried out from the Scopus database. The data analysis is based on a hybrid literature review approach using a descriptive bibliometric method, data analysis visualization (through VOSViewer software) and thematic analysis.

Results indicate that research studies focused on BT and accounting have been growing exponentially over the last three years, with authors who previously focused on generalist themes, and are now facing more specific issues. Through cluster analysis, the authors propose the framework of accounting domain and blockchain technology (ADOB) to systematize and visualize the map of current studies about the BT in the accounting domain.

The analysis highlights some aspects less investigated at the first research stage in the field of BT and accounting, such as the growing need of new accounting and control processes to address the practical issues of BT implementation and the need for education and training to stimulate a proper use of BT by accountants and practitioners.

This study is the first to adopt a bibliometric and thematic analysis to investigate BT in the accounting domain. The authors provide significant insights that could guide and foster the use of BT for accountants and practitioners, defining future research lines and a research agenda for academic researchers.

This paper aims to investigate the non-financial reporting (NFR) practices of Hungarian listed public interest entities for 2016–2018 in terms of the required disclosure content based on the 2014/95/EU Directive (ED).

The authors apply content analysis methodology on Hungarian firms subject to mandatory reporting under the ED. The target variable in the multivariate model is the reporting quality (Q_i) measured by a combined index.

The authors find that the ED had a moderate impact on Hungary's reporting quality because the overall disclosure of the sample only increased from low to medium level. The authors found that the value of intangible assets is a determinant of the reporting quality before and after the implementation of the ED. The findings support the effect of coercive isomorphism on Hungarian NFR practices.

The limitation of the research is the number of firms examined. However, the authors covered the entire (non-bank) community of the Hungarian firms subject to the ED.

The authors suggest that reporting entities build upon the synergy between intellectual capital disclosure and NFR when elaborating their reporting strategies. The authors recommend the integration of ethical matters into corporate strategies and policies. Policymakers may consider the revision of the Hungarian regulations. The authors suggest academics embrace these topics in teaching.

To the best of the authors’ knowledge, this is the first study that investigates the impact of ED in the context of Hungary. The authors contribute to the existing literature by adding the results of the ridge regression model, highlighting the importance of intangible assets.

When complex social-ecological systems collapse and transform, the possible outcomes of this transformation are not set in stone. This paper aims to explore the role of social imagination in determining possible futures for a reformed system. The authors use a historical study of the Luddite response to the Industrial Revolution centred in the UK in the early-19th century to explore the concepts of path dependency, agency and the distributional impacts of systems change.

In this historical study, the authors used the Luddites’ own words and those of their supporters, captured in archival sources (n = 43 unique Luddite statements), to develop hypotheses around the effects on political, social and judicial consequences of a significant systems transformation. The authors then scaffolded these statements using the heuristics of panarchy and basins of attraction to conceptualize this contentious moment of British history.

Rather than a strict cautionary tale, the Luddites’ story illustrates the importance of environmental fit and selection pressures as the skilled workers sought to push the English system to a different basin of attraction. It warns us about the difficulty of a just transition in contentious economic and political conditions.

The Luddites’ story is a cautionary tale for those interested in a just transition, or bottom-up systems transformation generally as the deep basins of attraction that prefer either the status quo or alternate, elite-favouring arrangements can be challenging to shift independent of shocks. While backward looking, the authors intend these discussions to contribute to current debates on the role(s) of social innovation in social and economic policy within increasingly charged or polarized political contexts.

Social innovation itself is often predicated on the need for just transitions of complex adaptive systems (Westley et al., 2013), and the Luddite movement offers us the opportunity to study the distribution effects of a transformative systems change – the Industrial Revolution – and explore two fundamental questions that underpin much social innovation scholarship: how do we build a just future in the face of complexity and what are likely forms those conversations could take, based on historical examples?

The purpose of this paper is to introduce the papers in this special issue on humans, algorithms and data. The authors first set themselves the task of identifying the main challenges arising from the adoption and use of algorithms and data analytics in management, accounting and organisations in general, many of which have been described in the literature.

This paper builds on previous literature and case studies of the application of algorithm logic with artificial intelligence as an exemplar of this innovation. Furthermore, this paper is triangulated with the findings of the papers included in this special issue.

Based on prior literature and the concepts set out in the papers published in this special issue, this paper proposes a conceptual framework that can be useful both in the analysis and ordering of the algorithm hype, as well as to identify future research avenues.

The value of this framework, and that of the papers in this special issue, lies in its ability to shed new light on the (neglected) connections and relationships between algorithmic applications, such as artificial intelligence. The framework developed in this piece should stimulate scholars to explore the intersections between “technical” as well as organisational, social and individual issues that algorithms should help us tackle.