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Search terms: Management + of + Technology

YearTitle / CitationDocument typeLinks / Downloads
2025

2025:  

USING AI FOR RESHAPING REMOTE WORK AND LIFELONG LEARNING

Citation:  

Hamburg, I. (2025): USING AI FOR RESHAPING REMOTE WORK AND LIFELONG LEARNING. In International Academy of Technology, Education and Development (IATED), (6095-6100). 46010 Valencia, Spain: IATED. https://doi.org/10.21125/inted.2025.1582

Abstract / Keywords

It is known that during the last years, the work suffered important transformations i.e. by increasing the use of remote work. Besides factors like the pandemic, efficiency an important factor was the development of artificial intelligence (AI) methods, which is rapidly changing life and work. AI supports i.e. automating mundane tasks, enhancing communication and collaboration, improving productivity and efficiency, providing personalized feedback to remote workers, and fostering continuous growth and development.

AI-based tools change the remote work experience, also creating new working possibilities. Some examples are Project Management (see Asana and Monday.com), AI to predict project timelines, allocate resources effectively, and automate routine tasks, Communication and Collaboration tools also for intelligent search, automated transcriptions, real-time language translation, Writing and Editing, tools, Chatbots i.e. solving customer inquiries, providing support, tools for analysis of data. 
AI also influences jobs; some of them changed completely or partially by used AI tools like marketing, sales, and software development.

Many changes in remote work use AI to improve work efficiency but they require learning new technologies and adapting to new working profiles and responsibilities. One problem is how to integrate AI into lifelong learning and continuous training to cope with such requirements. The study How AI Works: Reconfiguring Lifelong Learning. identified three approaches in this context: AI for efficiency, AI as a digital colleague recognizing the social character of lifelong learning, and AI as a force for reshaping the nature of learning and work. These studies, which will be explained in the presentation, underlined the need to consider AI from a sociotechnical perspective. AI is not replacing or automating; it is about creating something new. The possible outcomes of AI in the workplace can not be defined at the beginning. The author leads the lifelong learning study group of the IAT and works on some of the possible outcomes of AI use in remote work which should be designed to meet the needs of the organization and employees, not only for new technologies and to support economic goals, personal growth, and social well-being. Digital technology is integrated into human lives, and it can't be considered separately from other aspects of learning and society. It is necessary to involve learners, trainers, and educators in working concepts on how AI should be used in lifelong learning and training contexts to support such aspects.

In this paper, the author will present different opinions about how to use AI within lifelong learning not only to support company success, acquire skills, or avoid cyber threats (which have become very sophisticated and numerous) but also to bring benefit to individuals, communities, and society as a whole.

Reshaping Remote Work and Lifelong Learning, Artificial intelligence (AI) methods, AI-based tools, A sociotechnical perspective

Document type:  

Article in

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2024

2024:  

AI & Cyber Security Awarness Training

Citation:  

Hamburg, I. & Sommer, D. (2024): AI & Cyber Security Awarness Training. In Cebeci, K. & Kaya, M.V. (eds.), Social & Economic Studies within the Framework of Emerging Global Developments (61 - 69). Berlin - Bruxelles - Chennai - Lausanne - New York - Oxford: Peter Lang. https://doi.org/10.3726/b21780

Document type:  

Article in

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2024

2024:  

Cybersecurity and flexible work

Citation:  

Hamburg, I. (2024): Cybersecurity and flexible work. In IATED, ICERI2024 Proceedings. 17th annual International Conference of Education, Research and Innovation (3301-3307). Seville, Spain. https://doi.org/10.21125/iceri.2024.0854

Document type:  

Article in

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2022

2022:  

Favourable social innovation ecosystem(s)? – An explorative approach

Citation:  

Terstriep, J., Rehfeld, D. & Kleverbeck, M. (2022): Favourable social innovation ecosystem(s)? – An explorative approach. In Terstriep, J. & Rehfeld, D. (eds.), The Economics of Social Innovation (25). Abingdon, New York: Routledge. https://doi.org/10.4324/9781003291510

Document type:  

Article in

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2022

2022:  

The Economics of Social Innovation

Citation:  

Terstriep, J. & Rehfeld, D. (eds.) (2022): The Economics of Social Innovation. Abingdon, New York: Routledge. https://doi.org/10.4324/9781003291510

Document type:  

Book collection

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2020

2020:  

Favourable social innovation ecosystem(s)? An explorative approach

Citation:  

Terstriep, J., Rehfeld, D. & Kleverbeck, M. (2020): Favourable social innovation ecosystem(s)? An explorative approach. European Planning Studies, 28 (5), 881-905. https://doi.org/10.1080/09654313.2019.1708868

Document type:  

Journal article

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1999

1999:  

Fuzzy methods for efficient knowledge management: application to 'green' design processes

Citation:  

Hamburg, I. & Hersh, M. A. (1999): Fuzzy methods for efficient knowledge management: application to 'green' design processes. In Hamza, M. H. (ed.), Modelling, identification and control: Innsbruck, Austria, February 15 - 18, 1999; a publication of the International Association of Science and Technology for Development - IASTED / Eighteenth IASTED International Conference (86-88). Anaheim: Acta Press.

Document type:  

Article in

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1998

1998:  

Workflow-Management systems and organizational development - tools of change?

Citation:  

Paul, H. (1998): Workflow-Management systems and organizational development - tools of change? In Karwowski, W. & Goonetilleke, R. (eds.), Manufacturing agility and hybrid automation - II: proceedings of the 6th international conference on human aspects of advanced manufacturing: agility and hybrid automation, the Hong Kong University of Science and Technology, july 5-8, 1998, Hong Kong (97-100). Santa Monica, CA: IEA Press.

Document type:  

Article in

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1993

1993:  

Fuzzy logic, a user friendly technology for the management of uncertain knowledge in engineering design process

Citation:  

Hamburg, I. (1993): Fuzzy logic, a user friendly technology for the management of uncertain knowledge in engineering design process. In Bandemer, H. (ed.), Modelling uncertain data (153-157). Berlin: Akad.-Verl.

Document type:  

Article in

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