PurposeThe purpose of this paper is to show the relevance attributed to sustainability management control tools (SMCTs) and their real use. Mainly, this study aims to shed light on the approaches, motivations and difficulties encountered in SMCTs adoption by the most sustainable Italian companies, as well as their effectiveness.Design/methodology/approachUsing a pre-structured qualitative survey method, the authors grasped information about external and internal dimensions of sustainability management in light of institutional and resource-based view theories. Data are elaborated with two methods: a regime analysis to assess the relevance of SMCTs and a descriptive analysis to investigate the “aim”, “which” and “how” of the SMCTs' use by companies listed in sustainability indices.FindingsInformal SMCTs prevailed over formal ones. There is a discrepancy between attention paid to some tools praised in the literature and their knowledge and use. In addition, a significant gap exists between what is desired and what is achieved in terms of effectiveness. Further, although sustainability management is primarily oriented towards the external perspective, SMCTs can be key to improving both the disclosure and management of sustainability.Research limitations/implicationsThe criteria for the selection of the sample resulted in a small number of analysed companies, which allowed us to gain insight into what happens inside the listed Italian companies in the most important sustainability indices. These companies have sustainability-oriented management, which also probably safeguards their advantage linked to inclusion in these indices.Practical implicationsThis paper provides food for thought for companies engaged in non-financial disclosure and for those who aim to implement SMCTs. It shows the need to reinforce formal sustainability control tools, also through dissemination of major knowledge about the implementation of these tools, and to encourage sponsorship from top levels of management.Originality/valueCompared with SMCT research using a theoretical or case study approach, this study uniquely undertakes extensive research on the perceived effectiveness of SMCTs in achieving sustainability goals and the difficulties in implementing them, thereby highlighting a discrepancy between some tools emphasised in the literature and those infrequently used in sustainability-oriented companies.

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PurposeConsidering 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.Design/methodology/approachThis 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.FindingsResults 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.Research limitations/implicationsThe 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.Originality/valueThis 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.

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Purpose In the literature on determinants of disclosure, scholars generally tend to investigate the existence of relations in “global” terms by considering the whole range of observed values pertaining to both dependent and independent variables involved in the descriptive model. Despite the different methodologies used coherently to this approach, a hypothesis can be only accepted or rejected entirely. This paper aims to contribute to the literature by proposing a data-driven method based on smooth curves, which allow scholars to detect the existence of local relations, significant in a limited interval of the dependent variable. Design/methodology/approach The employment of smooth curves is simplified by conducting a study on goodwill disclosure. The model derived by the adoption of the locally weighted scatterplot smoothing (LOWESS) curves may provide an accurate description about complex relations between the extent of disclosure and its expected determinants, whose shape is not completely captured by traditional statistic techniques. Findings The model based on LOWESS curves provided a comprehensive description about the complexities characterizing the relationship between disclosure and its determinants. The results show that in some cases, the extent of disclosure is influenced by multi-faceted local relations. Practical implications The exemplificative study provides evidences useful for standard setters to improve their comprehension about the inclination of companies in disclosing information on goodwill impairment. Originality/value The adoption of smooth curves is coherent with an inductive research approach, where empirical evidence is generalized and evolves into theoretical explanations. The method proposed is replicable in all the field of studies, when extant studies come to unclear and contradicting results as a consequence of the complex relations investigated.

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