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The corporate communications literature recently focused on corporate board gender diversity, specifically looking at two central aspects: gender quotas and equitable target percentages for women on corporate boards. This paper extends the debate by focusing on board gender diversity and critical mass theory.

The paper gives a conceptual viewpoint on the issues raised in the literature on board gender diversity through a critical mass theory lens.

Following the 2022 European Union (EU) directive, all EU member states will have to attain a 40% women representation on large corporate boards to achieve board gender diversity and what has been termed a “critical mass”. However, the literature indicates that gender diversity benefits may not be achieved if a critical mass is not composed of independent women directors who create a voice that produces a collective action. The authors highlight why a critical mass may not be achieved. The inconsistency in prior research linking corporate board gender diversity to economic performance may result from the critical mass of women directors not reflecting an independent collective action. However, as gender-diverse boards evolve, the authors argue that women will not just be seen as female directors but will be accepted on equal terms with their male counterparts and have an equal voice; gender will no longer be an issue and critical mass theory may then become irrelevant.

From a corporate communications perspective, this study will focus the minds of human resources (HR) professionals on the importance of the composition of women on corporate boards if the HR professionals wish to obtain the full potential benefits of board gender diversity. Theoretically, this study highlights the importance of critical mass and collective action when researching the economic benefits of corporate board gender diversity. Investment analysts may wish to look more closely at the structure of corporate boards and not just the numbers.

This paper gives a conceptual viewpoint on the critical mass theory and corporate board gender diversity, identifying that it is not just the numbers that are important but also the issue of minority independence and collective action, and this is, therefore, unique in this respect. Future research should identify if a critical mass (not just numbers) of women on corporate boards has been achieved. Only then that the linkage, based on critical mass theory, between board gender diversity and corporate performance/profitability can be made. Knowing whether board sizes are being increased to accommodate the added female directors would be also interesting, or will the new female directors replace existing male directors? However, the most important research question, once gender diversity has been achieved, could be: Is critical mass theory relevant with respect to board gender diversity?

The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of the otherwise pervasive field of bankruptcy prediction models. The authors aim to present state-of-the-art bankruptcy prediction models assembled by the field's core authors and critically examine the approaches and methods adopted.

The authors conducted a literature search in November 2022 through scientific databases Scopus, ScienceDirect and the Web of Science, focussing on a publication period from 2010 to 2022. The database search query was formulated as “Bankruptcy Prediction” and “Model or Tool”. However, the authors intentionally did not specify any model or tool to make the search non-discriminatory. The authors reviewed over 7,300 articles.

This paper has addressed the research questions: (1) What are the most important publications of the core authors in terms of the target country, size of the sample, sector of the economy and specialization in SME? (2) What are the most used methods for deriving or adjusting models appearing in the articles of the core authors? (3) To what extent do the core authors include accounting-based variables, non-financial or macroeconomic indicators, in their prediction models? Despite the advantages of new-age methods, based on the information in the articles analyzed, it can be deduced that conventional methods will continue to be beneficial, mainly due to the higher degree of ease of use and the transferability of the derived model.

The authors identify several gaps in the literature which this research does not address but could be the focus of future research.

The authors provide practitioners and academics with an extract from a wide range of studies, available in scientific databases, on bankruptcy prediction models or tools, resulting in a large number of records being reviewed. This research will interest shareholders, corporations, and financial institutions interested in models of financial distress prediction or bankruptcy prediction to help identify troubled firms in the early stages of distress.

Bankruptcy is a major concern for society in general, especially in today's economic environment. Therefore, being able to predict possible business failure at an early stage will give an organization time to address the issue and maybe avoid bankruptcy.

To the authors' knowledge, this is the first paper to identify the core authors in the bankruptcy prediction model and methods field. The primary value of the study is the current overview and analysis of the theoretical and practical development of knowledge in this field in the form of the construction of new models using classical or new-age methods. Also, the paper adds value by critically examining existing models and their modifications, including a discussion of the benefits of non-accounting variables usage.