Artificial intelligence applied to potential assessment and talent identification in an organisational context.

Our study provides valuable insights into the relationship between artificial intelligence (AI) and Human Resource Management (HRM). We have minimised bias and ensured reliable findings by employing a systematic literature review and the PRISMA statement. Our comprehensive synthesis of the studies included in this research, along with a bibliometric analysis of articles, journals, indexes, authors' affiliations, citations, keyword co-occurrences, and co-authorship analysis, has produced robust results. The discussion of our findings focuses on critical areas of interest, such as AI and Talent, AI Bias, Ethics and Law, and their impact on Human Resource (HR) management. Our research highlights the recognition by organisations of the importance of talent management in achieving a competitive advantage as higher-level skills become increasingly necessary. Although some HR managers have adopted AI technology for talent acquisition, our study reveals that there is still room for improvement. Our study is in line with previous research that acknowledges the potential for AI to revolutionise HR management and the future of work. Our findings emphasise the need for HR managers to be proactive in embracing technology and bridging the technological, human, societal, and governmental gaps. Our study contributes to the growing body of AI and HR management knowledge, providing essential insights and recommendations for future research. The importance of our study lies in its focus on the role of HR in promoting the benefits of AI-based applications, thereby creating a larger body of knowledge from an organisational perspective.

FAMMOCN - Demonstration and evaluation of a framework for the multidisciplinary assessment of organisational maturity on business continuity.

Business Continuity Management (BCM) encompasses effective planning to respond to business interruptions and relaunch business in the short term. This study follows the Design Science Research methodology and proposes a framework to systematise Business Continuity Management and streamline the Business Continuity Plan (BCP) design and implementation. The framework defines metrics providing strategical guidance and assessment of the Business Continuity Management initiatives. The framework provides a Business Continuity Management Model, an Implementation Guide, a Self-Assessment System, and a Measurement System. The model was developed based on a systematic literature review and guidelines from Business Continuity Management frameworks and standards. In the first iteration, we demonstrated and evaluated the framework through a Focus Group with experts in Business Continuity Management. In the second iteration, it was used and evaluated by professionals with responsibilities in Business Continuity Plan implementation, representing various business sectors. As a result, the framework is useful and complete, effective and enhances governance and is scalable and adaptable to organisations. This study concludes that the framework adds value to Business Continuity Management monitoring, gaps identification, and practitioner's guidance on what needs to be planned, done, checked and acted to manage continuity.