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The Scottish economy was experiencing steady growth prior the hit of the COVID-19, with the pandemic causing the government to announce extreme lockdown measures with unprecedented impact on small and medium-sized enterprises (SMEs). Whilst some of the industry sectors in Scotland took a lighter hit, a large part of the organizations had to either adapt or completely disrupt their business. An essential aspect of their survival, risk management (RM) was among the areas requiring the most significant acceleration. This study compared the RM practices implemented by Scottish SMEs prior and after the outbreak as well as examined the attitudes of key decision-makers in the SMEs in relation to risk, including their perceived readiness for another crisis of similar significance.

An online survey based on ISO 31000 RM guidelines was distributed to 232 Scottish SMEs. Based on the official government reports and existing knowledge on how SMEs around the world have handled crisis events within the past 20 years, the authors developed the hypothesis that crisis events significantly accelerate SMEs' RM implementation. Around 13 items were tested in relation to the hypothesis and responses were tested via two-tailed T-test to establish significant statistical difference.

The research provides insight into the current state of risk management practices implemented by Scottish SMEs. As expected, SMEs showed significant difference in their RM implementation prior and after the COVID-19 outbreak. Whilst this has been viewed as a positive, motivations, priorities and approaches in managing risk demonstrated by the SMEs is questionable with views to their sustainable long-term recovery. The study highlights the lack of confidence instilled within the SMEs that they can handle another crisis of similar significance and provides directions for further investigation and improvements with the aim of helping the SMEs prepare better to mitigate the consequences of future crisis events.

In academic sense, the study offers a tested universal framework and a detailed questionnaire for assessment of RM strategy, applicable to organisations of various type, size and geography. Several implications with regards to managerial practices have been highlighted, including the neglect of the SMEs’ own internal environments and its significance in their risk strategies, the predominantly reactive approach to RM displayed by most Scottish SMEs as well as the neglect of compliance risk leading to potential quality and customer satisfaction issues preventing SMEs from full post-crisis recovery.

Child labour abolition is one of the four essential human rights identified by the International Labour Organisation and sustainable development goals. Although public organisations and governments have implemented a variety of actions to control business activity and protect children’s rights, cases of child labour adoption continue to be documented. This paper aims to establish multinational companies’ disclosure procedures regarding child labour and to identify some potential determining factors.

A content analysis approach is used on sustainability reports from multinational companies throughout the world to assess the overall amount of disclosure concerning child labour adoption and to generate a child labour disclosure (CLD) score. In addition, to better understand this issue, an empirical investigation was conducted on a sample of 85 multinational companies to identify the factors that influence CLD.

The findings show that there is a low degree of disclosure on this issue throughout the world and that stakeholder engagement has a positive impact on disclosure levels. In contrast, the existence of a corporate social responsibility (CSR) committee and a CSR-based compensation policy has a negative influence on CLD.

The statistical results provide a unique viewpoint as they illustrate the amount of CLD using impression management theory, confirming the notion of negative event omission and text manipulation in developing the business image. These findings have important implications for literature development, as well as for managers, policymakers and stakeholder groups.

This study is motivated by the rising regulatory demand for new digital solutions enabling searchable and comparable sustainability corporate information. It aims at uncovering the antecedents of the technological major benefits highlighted by the ongoing scientific debate on the digitalization processes implemented by firms. Therefore, this paper focuses on the factors related to the emergence of digital accounting, reporting and disclosure of sustainability corporate information.

Following the Technology-Organization-Environment framework, the authors review and classify the factors identified by current academic literature that may enable or constraint the use of digital solutions for collecting, reporting and disclosing corporate non-financial information. A total of 86 sources were retrieved from Scopus and Web of Science and reviewed following a systematic approach.

Results show an increasing interest in the digitalization of corporate sustainability accounting and reporting and highlight some related drivers with a predominance of technological and environmental enablers (e.g. compatibility, stakeholders pressure) along with organizational constraints (e.g. need for technical and training programmes) influencing the ongoing adoption of new technologies for both internal and inter-organizational purposes.

The authors provide several research directions for enhancing the academic interest in corporate accounting digitalization.

This paper offers practical contributions to regulators and companies concerning the challenges they should face in applying new technologies for non-financial reporting purposes.

To the best of the authors’ knowledge, this is the first systematic literature review on the enablers and constraints of digitalization of sustainability accounting, reporting and disclosure.

Using AI to strengthen creativity and problem-solving capabilities of professionals involved in innovation management holds huge potential for improving organizational decision-making. However, there is a lack of research on the use of AI technologies by innovation managers. The study uses the theory of appropriation to explore how specific factors – agile leadership (AL), innovation orientation (IO) and individual creativity (IC) – impact innovation managers' use of generative AI tools, such as ChatGPT (CGA).

The research model is tested through a large-scale survey of 222 Italian innovation managers. Data have been analyzed using structural equation modeling following a two-step approach. First, the measurement model was assessed to ensure the constructs reliability. Subsequently, the structural model was analyzed to draw the conclusions on theorized model relationships and their statistical significance.

The research findings reveal positive associations between IO and IC with CGA, demonstrating that innovation managers who exhibit strong innovation orientations and higher Individual Creativity are more likely to adopt and personalize ChatGPT. However, the study did not confirm a significant association between AL and CGA.

Our findings have important implications for organizations seeking to maximize the potential of generative AI in innovation management. Understanding the factors that drive the adoption and customization of generative AI tools can inform strategies for better integration into the innovation process, thereby leading to enhanced innovation outcomes and improved decision-making processes.

This study introduces a comprehensive bibliometric analysis of the foreign direct investment (FDI) literature by multinational corporations (MNCs) focusing on emerging economies to identify the most influential authors, journals and articles in FDI research and reveals the fields' conceptual and intellectual structures. The purpose of this paper is to address these issues.

The study analyzed 533 articles published between 1974 and 2020 in 226 academic journals indexed in the Web of Science (WoS) and Scopus databases. We used the R language for statistical computing to map author collaboration, co-word and develop a conceptual and intellectual map of the field.

The results show that, although the FDI literature has many authors, few dominate the field. The International Business Review (IBR) and International Journal of Emerging Markets (IJoEM) are the main sources of the publications. Moreover, bibliometric laws show that our dataset follows the Lotka law of scientific productivity and Bradford law of scattering, identifying the core journals. Finally, FDI by MNCs in emerging economies research is divided into four sub-research themes related to (1) FDI determinants, (2) entry mode, (3) MNCs and FDI performance and (4) the internationalization process.

The current article provides several starting points for practitioners and researchers investigating FDI. It contributes to broadening the vision of the field and offers recommendations for future studies.