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The purpose of this paper is to examine the potential for eXtensible Business Reporting Language (XBRL) to go beyond static reporting. A taxonomy structure of information is developed for providing a knowledge base and insights for an XBRL taxonomy for integrated reporting (IR).

Design Science (DS) research, as a pragmatic exploratory research approach, is embraced to create a new “artefact” and thematic content analysis is used to analyse IR in practice.

Using XBRL for IR allows a shift from static and periodic reporting to more relevant and dynamic corporate disclosure for stakeholders, who can navigate and retrieve customised disclosure information according to their interest by exploiting the multidimensionality of IR and overcome some of its criticisms. The bi-dimensional taxonomy structure the authors’ present allows users to navigate disclosure from two different perspectives (content elements (CE) and capitals), display specific themes of interest, and drill down to more detailed information. Because of its evidence-based nature and levels of disaggregation, it provides flexibility to preparers and users of information. Additionally, the findings demonstrate the need to codify sector-specific information for the CE, so that to direct the efforts toward the development of sector-specific taxonomy extensions in developing an XBRL taxonomy for IR.

The limitations of DS research are, first, the artefact design and, second, its effects in practice. The first limitation stems from the social actors’ perspective taken into account to develop the taxonomy structure, which derives from the analysis of the reporting practices rather than a pluralistic approach and dialogic engagement. The second limitation relates to the XBRL taxonomy development process because, since the study is limited to the “design” phase being codification and structuring the knowledge base for an XBRL taxonomy, there is a need to develop a taxonomy in XBRL and then apply it in practice to empirically demonstrate the potential and benefits of XBRL in the IR context.

The taxonomy structure is targeted at entities interested in designing an XBRL taxonomy for IR. This is a call for academics and practitioners to explore the potential of technology to improve corporate disclosure and open up new projections for resurging themes on intellectual capital (IC) reporting with prospects for IC “fourth-stage” research focused on IC disclosure.

This is an interdisciplinary research employing the DS approach, which is rooted in information systems research. It is the first academic study providing pragmatic results for using XBRL in the context of IC and IR.

New Space activities offer benefits for human progress and life beyond the Earth. However, there is a risk that the New Space Economy may develop according to an anthropocentric mindset favouring human progress and survival at the expense of all other species and the environment. This mindset raises concerns over the social and environmental impacts of space activities and the accountability of space actors. This research article explores the accountability of space actors by presenting a pluralistic accountability framework to understand, inspire and change accountability in the New Space Economy. This study also identifies future research opportunities.

This paper is a reflective and normative essay. The arguments are developed using contemporary multidisciplinary academic literature, publicly available evidence and examples. Further, the authors use Dillard and Vinnari's accountability framework to examine a pluralistic accountability system for space businesses.

The New Space Economy requires public and private entities to embrace hybrid and pluralistic accountability for their social and environmental impacts. A new way of seeing the relationship between human life, the Earth and celestial space is needed. Accounting language is used to mirror and mobilise broader forms of responsibility in those involved in space.

This paper responds to the AAAJ's special issue call for examining how accountability can be ensured in the New Space Age. The space activities businesses conduct, and the anthropocentric view inspiring their race toward space is concerning. Hence, the authors advocate the need for rethinking accountability between humans and nature. The paper contributes to fostering the debate on social and environmental accounting and the accountability of space actors in the New Space Economy. To this end, the authors use a pluralistic accountability framework to help understand how the New Space Economy can face the risks emanating from its anthropocentric mindset.

This paper aims to investigate how firms disclose the presentation and content of business model (BM) information in corporate reports to manage their legitimacy in response to European Directive 2014/95.

Legitimacy theory is used to identify disclosure strategies pursued by firms in reaction to the new regulation. To understand how firms adopt these strategic responses, semiotic analysis is applied to a sample of European companies’ reports through Crowther’s (2012) framework, which is based on a mechanism of binary oppositions.

Half of the sample strategically choose to comply with the European Union (EU) Directive regarding BM information through the use of non-accounting language, figures, and diagrams. Other firms did not disclose any substantive information but managed the impression of compliance with the regulation, while the remainder of the sample dismissed the regulation altogether.

This study demonstrates how organisations use the disclosure of BM information in their corporate reports to control their legitimacy. The results support the idea that firms can acquire legitimacy by complying with the law or giving the impression of compliance with the regulation. This study provides evidence on the first-time adoption of the EU Directive, and therefore, future research can enlarge the sample and conduct the analysis over a broader time frame.

A more precise indication of the EU Directive regarding “where” firms should report BM information, “how” the description of a BM should refer to the environmental, social, governance (ESG) factors, and a set of performance measures to track the evolution of a company’s BM overtime is needed.

While there has been a notable amount of research that has applied content analysis methodologies to investigate the thematic and syntactic aspects of BM disclosure in corporate reports, only a few studies have investigated BM disclosures in relation to the EU Directive. Furthermore, the application of semiotic analysis extends beyond traditional content analysis methodologies because it considers the structure of the story at many levels, thus developing a more complete textual picture of how BMs are described, allowing an analysis of the reasons behind the disclosure strategies pursued by firms.

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.

The debate about whether corporate reports should focus on numbers or narrative is long-standing. The recent push for business model information to be included in corporate reports has revitalised the debate. Many scholars suggest this constitutes a move towards narrative-based reporting. This study aims to investigate the debate and draws a comparison with the juxtaposition of the narrative and rational paradigms. This study also investigates how accountingisation influences the way business model information is presented in corporate reports.

This study analyses data from the financial and non-financial reports from 86 globally listed companies. This study first uses content analysis to code the data. This study then uses a partial least squares-structural equation model to test how accountingisation influences how firms report their business model information.

This study finds that accountingisation and a rational paradigm shape how companies present information about their business model in their financial and non-financial reports. This suggests that the dominance of quantitative measures in accounting affects even the presentation of narrative-based information. Despite the much-touted shift towards qualitative reporting, this study argues that companies find it difficult to cast off the yoke of a traditional numbers-based mindset.

This paper contributes to the debate on numbers- versus narrative-based corporate reporting and the workings of narrative and rational paradigms. In it, this study lays out theoretical and empirical findings of accountingisation. This study also makes a case for freeing corporate reports from the shackles of an accountingisation mindset.

This study provides new insights into how companies report information about their business models and the influence of narrative and rational paradigms on financial and non-financial reporting.

Reflecting on Big Data’s assumed benefits, this study aims to identify the risks and challenges of data security underpinning Big Data’s socio-economic value and intellectual capital (IC).

The study reviews academic literature, professional documents and public information to provide insights, critique and projections for IC and Big Data research and practice.

The “voracity” for data represents a further “V” of Big Data, which results in a continuous hunt for data beyond legal and ethical boundaries. Cybercrimes, data security breaches and privacy violations reflect voracity and represent the dark side of the Big Data ecosystem. Losing the confidentiality, integrity or availability of data because of a data security breach poses threat to IC and value creation. Thus, cyberthreats compromise the social value of Big Data, impacting on stakeholders’ and society’s interests.

Because of the interpretative nature of this study, other researchers may not draw the same conclusions from the evidence provided. It leaves some open questions for a wide research agenda about the societal, ethical and managerial implications of Big Data.

This paper introduces the risks of data security and the challenges of Big Data to stimulate new research paths for IC and accounting research.

As Big Data is creating new underpinnings for organisations’ intellectual capital (IC) and knowledge management, this paper aims to analyse the implications of Big Data for IC accounting to provide new conceptual and practical insights about the future of IC accounting.

Based on a conceptual framework informed by decision science theory, the authors explain the factors supporting Big Data’s value and review the academic literature and practical evidence to analyse the implications of Big Data for IC accounting.

In reflecting on Big Data’s ability to supply a new value for IC and its implications for IC accounting, the authors conclude that Big Data represents a new IC asset, and this represents a rationale for a renewed wave of interest in IC accounting. IC accounting can contribute to understand the determinants of Big Data’s value, such as data quality, security and privacy issues, data visualisation and users’ interaction. In doing so, IC measurement, reporting and auditing need to keep focusing on how human capital and organisational and technical processes (structural capital) can unlock or even obstruct Big Data’s value for IC.

The topic of Big Data in IC and accounting research is in its infancy; therefore, this paper acts at a normative level. While this represents a research limitation of the study, it is also a call for future empirical studies.

Once again, practitioners and researchers need to face the challenge of avoiding the trap of IC accountingisation to make IC accounting relevant for the Big Data revolution. Within the euphoric and utopian views of the Big Data revolution, this paper contributes to enriching awareness about the practical factors underpinning Big Data’s value for IC and foster the cognitive and behavioural dynamic between data, IC information and user interaction.

The paper is relevant to prepares, users and auditors of financial statements.

This paper aims to instill a novel debate on Big Data into IC accounting research by providing new avenues for future research.