{"id":640,"date":"2025-01-06T10:10:25","date_gmt":"2025-01-06T09:10:25","guid":{"rendered":"https:\/\/www.verticeconsulting.fr\/?p=640"},"modified":"2025-01-07T12:07:30","modified_gmt":"2025-01-07T11:07:30","slug":"management-multigenerationnel-en-entreprise-une-approche-globale-pour-maximiser-la-performance-collective-en-2025","status":"publish","type":"post","link":"https:\/\/www.verticeconsulting.fr\/en\/management-multigenerationnel-en-entreprise-une-approche-globale-pour-maximiser-la-performance-collective-en-2025\/","title":{"rendered":"Multigenerational management in companies: a global approach to maximising collective performance in 2025"},"content":{"rendered":"
\"Management<\/figure>\n\n\n\n

At the beginning of 2025, the world of work is undergoing an unprecedented metamorphosis, characterised by the omnipresence of generative artificial intelligence (1), the overhaul of post-Covid professional practices and the emergence of new aspirations at work. In this environment, managing multi-generational teams is a crucial challenge, requiring an innovative methodology that is in tune with current issues.<\/p>\n\n\n\n

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  1. Deciphering contemporary generational interactions<\/u><\/strong><\/li>\n<\/ol>\n\n\n\n

    Generation Z (~ 18-30 years old) excels in the spontaneous exploitation of generative AI solutions. They are particularly vigilant when it comes to the ethical considerations associated with technological innovations, seeking harmony between digitisation and human relationships, while demonstrating a heightened social and ecological awareness.<\/p>\n\n\n\n

    Millennials or Generation Y (~ 30-45 years old) are remarkably flexible when it comes to AI solutions, and know how to use them to good effect. Their participative leadership is enriched by technological contributions, encouraging independence in an interconnected world and work-life harmony.<\/p>\n\n\n\n

    Generation X (~ 45-60 years old) is gradually integrating AI solutions while preserving the primacy of human expertise in the face of robotisation. They form a bridge between heritage and modernity, emphasising the value of sincere human exchanges.<\/p>\n\n\n\n

    Senior employees (~ aged 60 and over) share their professional know-how, enhanced by digital tools, and act as guardians of ethics in an automated environment, adopting technological innovations with discernment.<\/p>\n\n\n\n

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    1. Contemporary challenges of multigenerational management<\/u><\/strong><\/li>\n<\/ol>\n\n\n\n

      The incorporation of AI is transforming professional synergies. AI-powered collaborative platforms are streamlining exchanges, automating routine operations and catalysing collective inventiveness through customised interactions. At the same time, workplaces are being transformed into sophisticated mixed-use spaces, encompassing intelligent offices (2) and exchange zones enhanced by augmented reality (3), as well as disconnected havens and interfaces tailored to generational preferences.<\/p>\n\n\n\n

      Managerial skills need to be reinvented, with leadership enhanced by the mastery of AI decision-making tools. The balance between automation and human relations is becoming crucial, requiring a high level of relational intelligence and ethical management of personal information.<\/p>\n\n\n\n

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      1. Solutions tailored to today's needs<\/u><\/strong><\/li>\n<\/ol>\n\n\n\n

        To stimulate cross-generational innovation, organisations need to initiate AI-enhanced creative marathons, hybrid collaborative workshops and technological knowledge transfer systems. Career development must be based on lifelong learning, via AI-enhanced individualised curricula, targeted learning sequences and exercises in virtual environments.<\/p>\n\n\n\n

        The fulfilment and motivation of teams can be optimised thanks to global initiatives including personalised monitoring of comfort at work, regulation of digital stress and respect for technological sobriety, thereby strengthening collective solidarity.<\/p>\n\n\n\n

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        1. Performance assessment and KPIs 2025<\/u><\/strong><\/li>\n<\/ol>\n\n\n\n

          To assess the effectiveness of intergenerational management, it is essential to monitor key indicators such as the rate of adoption of AI tools by generation, the impact of automation on productivity and the level of intergenerational collaboration. Innovative tools such as real-time HR analytics (4), the analysis of work interactions enhanced by technology (augmented analysis (5)) and the measurement of the environmental impact of working practices make it possible to monitor these indicators effectively.<\/p>\n\n\n\n

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          1. Future horizons<\/u><\/strong><\/li>\n<\/ol>\n\n\n\n

            Emerging innovations suggest a growing adoption of emotional AI (6), a move towards more agile structures and intensified personalisation of work experiences. The development of distinctive human skills, notably relational intelligence and inventiveness, is proving to be a determining factor.
            <\/p>\n\n\n\n

            In conclusion, multigenerational management in 2025 is based on a hybrid approach, harmoniously combining technology and the human dimension. The prosperity of organisations depends on their ability to shape a unifying professional environment, enhancing the strengths of each generation while exploiting the potential of technological innovations. The combination of human expertise and artificial intelligence, coupled with the preservation of fundamental values, is becoming crucial to optimising collective performance and anticipating future changes.<\/p>\n\n\n\n

            (1) Generative AI<\/strong> :<\/p>\n\n\n\n

            Generative artificial intelligence is a type of AI (<\/em>a general term for machines that reproduce the way humans think) that generates images, text, video and other media in response to prompts.<\/em><\/p>\n\n\n\n

            Further information: <\/em>Coursera \u2013 20\/12\/2024 \u2013 \u201cWhat Is Generative AI? Definition, Applications, and Impact\u201d <\/em><\/a><\/p>\n\n\n\n

            (2) Intelligent office :<\/strong> :<\/p>\n\n\n\n

            An intelligent office is an office space equipped with innovative work technologies that enhance the employee experience, boost productivity, reduce costs and increase energy efficiency.<\/em><\/p>\n\n\n\n

            Further information: IBM \u2013 08\/01\/2024 \u2013 \u00abWhat is a smart office?\u00bb<\/a><\/em><\/p>\n\n\n\n

            (3) Augmented reality <\/strong>:<\/p>\n\n\n\n

            Augmented Reality (or AR) is a technology that enables virtual elements to be integrated in 3D (in real time) within a real environment. The principle is to combine the virtual and the real and give the illusion of perfect integration to the user.<\/em><\/p>\n\n\n\n

            Further information: ARTEFACT \u2013 \u00abWhat is augmented reality?\u00bb<\/a><\/em><\/p>\n\n\n\n

            (4) HR analytics<\/strong> :<\/p>\n\n\n\n

            Human resources management has not escaped the wave of Big Data. HR Analytics is a tool that uses data to analyse the HR environment within a company. It enables HR professionals and management to use a data-driven approach, rather than intuition, to make better decisions and improve business performance.<\/em><\/p>\n\n\n\n

            By using data from several sources (HRIS, ERP, employee surveys, etc.), HR managers can, either on their own or using applications, draw conclusions, implement measurable improvement actions and also forecast future scenarios.<\/em><\/p>\n\n\n\n

            Further information: Futher information:<\/a><\/em>
            <\/em><\/p>\n\n\n\n

            (5) Enhanced analysis:<\/strong> :<\/p>\n\n\n\n

            AI and Machine Learning (ML) are two examples of technologies that can be used to optimise the way analyses are created, used and shared. This is known as augmented analysis.<\/em><\/p>\n\n\n\n

            Further information: ManageEngine \u2013 30\/07\/2022 \u2013 \u201cAugmented analytics explained: The present and future of data\u201d<\/a><\/em><\/p>\n\n\n\n

            (6) Emotional AI<\/strong> :<\/p>\n\n\n\n

            Emotional AI is a subset of artificial intelligence that measures, understands, simulates and reacts to human emotions. It is also known as affective computing or artificial emotional intelligence.<\/em><\/p>\n\n\n\n

            Further information: Visiativ \u2013 02\/03\/2024 \u2013 \u201cArtificial Intelligence VS Emotional Intelligence\u201d<\/a><\/em><\/p>\n\n\n\n

            Sources<\/u><\/strong> :<\/p>\n\n\n\n