Browsing by Author "Santos, Vítor Manuel Pereira Duarte dos"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Artificial intelligence applied to potential assessment and talent identification in an organisational contextPublication . França, Tiago Jacob Fernandes; São Mamede, Henrique; Barroso, João Manuel Pereira; Santos, Vítor Manuel Pereira Duarte dosOur study provides valuable insights into the relationship between artificial intelligence (AI) and Human Resource Management (HRM). Using a systematic literature review and the PRISMA statement, we have minimised bias and ensured reliable findings. Our comprehensive synthesis of the included studies, 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 key 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 knowledge on AI and HR management, 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.
- Data governance & quality management: innovation and breakthroughs across different fieldsPublication . Bernardo, Bruno Miguel Vital; São Mamede, Henrique; Barroso, João Manuel Pereira; Santos, Vítor Manuel Pereira Duarte dosIn today’s rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company’s success in a rapidly changing market. Data are also used to support most organizational activities and decisions. As a result, information, effective data governance, and technology utilization will play a signi cant role in controlling and maximizing the value of enterprises. This article conducts an extensive methodological and systematic review of the data governance discovering its key concepts, frameworks, and maturity assessment models. Our goal is to establish the current baseline of knowledge in this eld while providing differentiated and unique insights, namely by exploring the relationship between data governance, data assurance, and digital forensics. By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical de nition and application of data governance initiatives.