AI and the Evolution of Work: Redefining Project Management across Disciplines
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: 31 March 2025 | Viewed by 791
Special Issue Editor
Interests: design thinking; visualization; HCI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The popularization of Large Language Models triggers a historic productivity boost across industries, professions, and workplaces. This boost is arguably comparable in magnitude to the introduction of the PC in 1981 into the workplace, but is more sudden as here, the speed of change is not limited by adoption rates of the PC. So far, productivity changes have been measured primarily at individual worker level in software engineering practice, and the consulting profession. However, as these new AI capabilities integrate further in other workplaces, how do specific disciplines other than software engineering change? How will traditional project roles adapt? How will the architecture, copywriting and medical profession’s way of working evolve? Besides social effects in this Issue, we are interested in the following:
The overall focus is on how AI tools are redefining project management paradigms across disciplines. For example, in engineering, the traditional Engineering Design Process is refined. In software, it is the agile paradigms. In Design thinking, the Design thinking methods are considered, etc.
The scope will encompass not just the technicalities, but we are also interested in societal implications—how these tools alter roles, the mental health implications of AI-driven workflows, and the emergence of novel tools and methods.
The purpose is to provide readers with a comprehensive understanding of the current landscape, the challenges, the opportunities, and the possible future trajectories. Additionally, it aims to share insights from one discipline to another. For example, in architecture practice, as generative AI lowers the cost of prototyping through parametric design workflows, how can the traditional workflow adapt?
Notwithstanding, the rapid advancements in AI, there is a lack of focused literature that holistically addresses its implications outside software engineering. In addition, while individual papers have touched upon AI-driven tools or processes, a collective volume that explores the future implications beyond the individual worker level and looks at the group level is missing. This Issue aims to fill this gap, making it a future essential read for scholars of Management of Information Systems, social scientists and anyone concerned in engineering design. It will complement the existing literature by providing practical insights and foresights based on real-world applications and academic investigations.
Dr. Jose Berengueres
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- generalized AI Tools
- engineering design process
- software engineering
- MIS
- AI-driven workflows
- mental health implications
- AI in engineering education
- future of work
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
