Intro
Looking for Reference DS Methodology Design Science vs AI Agents
2025-07-06 - Created a scholar job, screened results, here are the ones selected for bettwe
DSR para Avaliação de Tecnologia
Contribuições https://gemini.google.com/app/255e0b73ed0f66fa
AI First ?
Rethinking AI Design Pr Rethinking AI Design Practices: A Ref actices: A Reference Ar ence Architectur chitecture for Generative AI Systems
http://pubs.wi-kassel.de/wp-content/uploads/2025/06/JML_1032.pdf Local PDF: JML_1032.pdf
Selected
A Human–AI Collaborative Framework for Cybersecurity Consulting in Capstone Projects for Small Businesses
KC Chan, R Gururajan, F Carmignani - Journal of Cybersecurity and …, 2025 - mdpi.com
… include Reflexive Design Science Research (DSR), Action Design Science Research (… Stage 1: AI agent development—focuses on designing an AI agent trained on cybersecurity …
GenAI-CoP: A Reusable Co-creation Process for Identifying Generative AI Agents
Local PDF: JML_1013.pdf P Reinhard, MM Li, S Oeste-Reiß… - … on Design Science …, 2025 - Springer
… In conclusion, our work provides a foundation for further research on GenAI and agentic AI
that requires new approaches to enabling domain experts, to define forms of applications and …
Addressing Agile Software Project Pain Points with Generative Aiexperimenting with Chatgpt Prompt Patterns
K Sainio, P Abrahamsson… - Available at SSRN …, 2024 - papers.ssrn.com
… This study uses the principles of Design Science Research (DSR) paradigm as research method [42; 43]. Within the DSR, the investigative process commences with the identification …
Reviewed and not selected - But interesting
An Extra Brain In The Room: Enhancing Large Group Brainstorming With An Autonomous AI-Agent
Local PDF: An_Extra_Brain_In_The_Room__Enhancing_Large_Group_Brainstorming.pdf RJ Specker, A Bucher, D Katsiuba, M Dolata… - Proceedings of the …, 2025 - zora.uzh.ch … RQ: How does the integration of a human-like AI-agent in … To separate these effects from AI-agent’s impact on the … this study should not recognize the AI-agent to not be influenced by the …
With recent advances in artificial intelligence (AI), research has analyzed how large language models (LLMs) can be used in brainstorming. Most studies focus on how AI can support facilitation or assist individuals. However, incorporating an AI-agent in large group brainstorming that simultaneously collaborates with multiple individuals has not been fully explored. This study explores the effects of an AI brainstorming agent (AIBA), which resembles a human brainstorming participant as closely as possible, on large group brainstorming. Therein, we developed and evaluated a prototype of such an agent in an experiment with 42 brainstorming participants. The results indicate that AIBA contributed to generating a greater variety of covered topics and increased the novelty of ideas, leading to an expansion of the solution space and a potential reduction in production deficits. By deriving design lessons, this research also provides insights into the design of AI-agents for large group brainstorming.
AI-ThinkLets for Brainstorming
G Schwabe, D Katsiuba, R Specker, M Dolata - 2025 - scholarspace.manoa.hawaii.edu
… Applying a design science approach, we developed a proof-of-concept prototype to ”… an AI agent was involved in any brainstorming sessions. After disclosing that an AI agent was …
Digital Brainstorming Agents
Digital Agents have the potential to be effective collaborators and significantly improve team collaboration practices. This study introduces the concept of AIThinkLets, which are repeatable collaboration activities involving Digital Agents. Using the Brainstorming process as an example, we demonstrate the applicability of AI-ThinkLets. We extend the existing OnePage ThinkLet with the Digital Agent by specifying its possible setup and functionality. This study provides insights for practitioners, orchestrators, and researchers. By integrating Digital Agents into established ThinkLets, we develop synergies that enhance the capabilities of human actors and enable new collaboration patterns.
Not Reviewed due access restrictions
A human-ai centric performance evaluation system for collaborative business ecosystems
P Graça, LM Camarinha-Matos - Doctoral Conference on Computing …, 2024 - Springer
… our research within the paradigm of design science research (DSR) [64]… Mechanism modelled
as an AI agent observes, using … system, in which the AI agent works together with the CBE …
All Work and No Flow: Experiences on Automating Product Owners’ Workflow using Generative AI
G Singh - 2025 - diva-portal.org
… Another alternate is design science methodology that relies on the development of innovative
solutions to solve a real-world problem and evaluate its effectiveness to solve the problem […
Reviewed and not selected
” Machines” Learning Meta-Knowledge to Enhance Human-Ai Collaboration: Evidence from Foreign Exchange Forecasting
Local PDF: ssrn-5163928.pdf
ZL Zhang, S Tian, S Huang - papers.ssrn.com
… Following the design science paradigm [26,27], we propose a machine learning-based
framework … AI Agent Construction for Forex Forecasting The AI agent is designed to capture and …
5 Paper D: Real agents in virtual commerce
T Weiß, A Eilks, F Putze, J Pfeiffer… - … user assistance in …, 2024 - jlupub.ub.uni-giessen.de
… ideas from agile software development [2] and design science research [56, 57]. As Figure
25 … a question about trust in a hypothetical AI agent to our question catalogue. Participants …
A design approach for process-based knowledge management systems
Local PDF: sarnikar2017.pdf
S Sarnikar, AV Deokar - Journal of Knowledge Management, 2017 - emerald.com
… We adopt the design science research methodology for Information Systems (IS) research (… While the creation of such artifacts is the focus of design science research, it is also noted that …
Version obtained does not have charts
A system for human-AI collaboration for online customer support
D Banerjee, M Poser, C Wiethof… - arXiv preprint arXiv …, 2023 - arxiv.org
… The AI agent provides timely suggestions in this UI which is visible to the human agent. … the
AI agent, and the AI agent is responsible for a response at each turn. In our case, the AI agent …
AI Aversion: A Task Dependent Multigroup Analysis
MJ Rahman, H Liang, Y Xue - 2023 - core.ac.uk
… , any AI agent threatening users’ autonomy would face stronger aversion in complex task environments. On the other hand, users are more likely to delegate simple tasks to an AI agent …
Artificial Intelligence (AI) has been a subject of great interest for its potential to enhance human intelligence. However, existing findings suggest that user opinions about AI are mixed, with some embracing it while others express deep concern and try to avoid it. Here, we conducted a comprehensive review of relevant research to identify potential antecedents to AI aversion. Based on the theory of effective use and the adaptive structuration theory, we collapsed the precursors into four dimensions to develop a concise research model that holistically explains users’ AI aversion. We then conducted online experiments to test the hypotheses empirically. The results indicate that perceived AI bias and perceived social influence are strong predictors of AI aversion. Additionally, a significant difference was found between the simple and complex task groups. These findings provide insights into the factors that contribute to AI aversion and have implications for designing and developing AI systems.
AI-Assisted Framework for Sustainable Human-Compatible Innovation and Transformation
S Human, E Bernroider - research.wu.ac.at … The study applies the Design Science Research (DSR) framework—from problem … Each AI agent and system operates at different layers, addressing societal, organizational, …
Introducing the “AI-Assisted Framework for Sustainable Human-Compatible Innovation and Transformation” (AI-FIT), this study investigates the use of Artificial Intelligence within innovation and transformation processes. It highlights AI’s role in addressing the shortcomings of traditional methods like Design Thinking and Human-Centered Design amidst the demands for resource-efficient, sustainable and human-compatible innovation. The study applies the Design Science Research (DSR) framework—from problem identification to designing a conceptual architecture—to explore how AI can improve innovation and transformation processes by enhancing outcomes, reducing costs, and facilitating the adoption of sustainable solutions aligned with human needs and capacities. Furthermore, it briefly reflects on potential drawbacks and concerns aiming to present a measured perspective on AI’s evolving role in future human-compatible innovation and transformation endeavours.
Addressing Knowledge Gaps in ITSM Practice with “Learning Digital Commons”: A Case Study
M Ramakrishnan, S Gregor, A Shrestha… - Information Systems …, 2024 - Springer
… To address the lack of holistic knowledge, we embarked on a Design Science Research project to address the research question, “How can we design a knowledge repository that …
Adopting “blackbox” engineering advice: the influence of imperfect suggestions during AI-assisted decision-making with multiple objectives
A Nandy, DA Herrera, K Goucher-Lambert - AI EDAM, 2025 - cambridge.org
Engineering design requires humans to make complex, multi-objective decisions involving trade-offs where it is challenging to identify the best solution. AI-embedded computational …
Engineering design requires humans to make complex, multi-objective decisions involving trade-offs where it is challenging to identify the best solution. AI-embedded computational support tools are increasingly used to aid in such scenarios, enhancing the design decision-making process. However, over- or under-reliance on imperfect “blackbox” models may prevent optimal outcomes. To investigate AI-assisted decision-making in engineering design, two complementary experiments (N = 90) were conducted. Participants chose between pairs of aircraft jet engine brackets and were tasked with selecting the better design based on two (Experiment 1) or three (Experiment 2) competing objectives. Participants received simulated AI suggestions, which correctly suggested a better design, incorrectly suggested a worse design, or arbitrarily suggested an approximately equivalent design. At times, these suggestions were accompanied by an example-based explanation. Results demonstrate that participants follow suggestions less than expected when the model can objectively determine the better-performing alternative, often underutilizing the model’s advice to their detriment. When the “better” choice is uncertain, the tendency to follow an arbitrary suggestion differs, with overutilization occurring only in the bi-objective case. There is no evidence that providing an explanation of the model’s suggestion impacts decision-making. The results provide valuable insights into how engineering designers’ multi-objective decisions may be affected – positively, negatively, or not at all – by computational tools meant to assist them.
Agile project management and emerging technologies in concurrent engineering for sustainable and collaborative product design
SC Anyaora, EO Chukwumuanya, JE Dara… - Journal of Industrial …, 2025 - jiemar.org
Designing sustainable and innovative products today requires more than just good ideas as it demands speed, flexibility, teamwork, and smart use of technology. This study used a …
Designing sustainable and innovative products today requires more than just good ideas as it demands speed, flexibility, teamwork, and smart use of technology. This study used a systematic review approach guided by PRISMA to examine how Agile project management and emerging technologies enhance concurrent engineering for sustainable and collaborative product design. Literature was sourced from five major databases using targeted search terms. After a rigorous three-phase screening and quality appraisal, relevant studies were thematically synthesized around Agile, AI, automation, cloud platforms, ethics, circular economy, and composite manufacturing. The result showed that revealed that integrating Agile project management into concurrent engineering enhances flexibility, collaboration, and design responsiveness. Design automation and AI tools improve accuracy and decision-making, while cloud-based platforms strengthen real-time teamwork. Generative design supports creativity and rapid iteration. Ethical concerns like transparency and inclusivity emerged as essential. Circular economy strategies help reduce waste and extend product life. In composite manufacturing, concurrent engineering and group design improve material efficiency, product quality, and speed, demonstrating strong potential for sustainable innovation. The findings suggest that integrating Agile practices with emerging technologies creates a powerful framework for building smarter, greener, and more collaborative products now and in the future.
An AI Agent Facilitating Student Help-Seeking: Producing Data on Student Support Needs
J Merikko, A Silvola - LAK 2024 Workshops: co-located …, 2024 - researchportal.helsinki.fi
… This study explores the role of an AI agent in facilitating secondary school students’ help… Second, we aim to build an AI agent to facilitate help-seeking. Our research questions are …
Large language models (LLMs) have provided unprecedented possibilities for personalizing educational experiences. Studies have addressed the potential of these models in supporting the learning process. Still, less attention has been given to how LLMs could help students to sustain their academic well-being. The current paper examines the use of LLMs in facilitating students’ help-seeking behaviors in an educational context. We build on earlier work on a rule-based chatbot providing students with support opportunities. First, we use thematic analysis with student support experts’ wordings on student support needs to build a support need classification model. Then, we utilize this classification model, GPT-4 API, and WhatsApp API, to build a support bot prototype and describe the development process and technological architecture. We discuss the possibilities of such technology in lowering barriers to help-seeking and producing data on student support needs and well-being for learning analytics applications.
To Review
An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI
W Xu, Z Gao, M Dainoff - researchgate.net
… The AI agent engages in twoway interactions with users via natural interfaces, such as voice
… making: Exploration of a multiyear design science research project in the Air Cargo Industry,…
An organizational theory for multi-agent interactions integrating human agents, LLMs, and specialized AI
UM Borghoff, P Bottoni, R Pareschi - Discover Computing, 2025 - Springer
… It introduces agentic AI and centauric agents, outlines the layered roles of Supervisors,
Consultants, and Workers, and explains how topic modeling enables semantic coordination. …
Artificial Intelligence Value Alignment Principles: The State of Art Review from Information Systems Research
S Han, S Nikou - 34th Bled eConference Digital Support from …, 2021 - researchgate.net
… , though necessary, to give instructions to an AI agent for achieving desired outcomes. Our
“… Going back to basics in design science: from the information technology artifact to the …
Assessing the Role of Generative Artificial Intelligence in Accelerating Entrepreneurial Success-A Study of the Ideation
JPG Sitty - 2024 - search.proquest.com
This research investigates the extent to which generative artificial intelligence (GAI) accelerates
early-stage startups, focusing on the area ‘ideation’. By integrating literature and expert …
Augmenting Divergent and Convergent Thinking in the Ideation Process: An LLM-Based Agent System
L Fischer-Brandies, S Meierhöfer, D Protschky - 2024 - aisel.aisnet.org
… ), following the design science research paradigm. Based on the … user agent layer and the
AI agent layer, each serving distinct … The AI agent layer consists of AI-augmented agents, each …
Automating Software Development Processes Through Multi-Agent Systems: A Study in LLM-based Software Engineering
S Peltomaa Åström, S Winoy - 2024 - diva-portal.org
… The methodology chosen in this thesis is primarily Design Science Research (DSR) within
which a Scoping Literature Review (SLR) is conducted. These are chosen with the goal of …
Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
R Ly, A Shojaei - arXiv preprint arXiv:2410.19262, 2024 - arxiv.org
… Deployment of the AI agent and virtual assistant module The proposed AI agent and virtual
… for evaluating methodological rigor and relevance in Design Science Research (DSR). The …
Behind the Scenes: Unpacking Students’ Experience during a Collaborative AI Workshop using Multi-Modal Data
I Possaghi, F Zhang, K Sharma… - Proceedings of the 24th …, 2025 - dl.acm.org
… Keep calm and do not carry-forward: Toward sensor-data driven AI agent to enhance human
learning. Frontiers in Artificial Intelligence 4 (2022), 713176. [84] Kshitij Sharma, Evangelos …
Combining human expertise and artificial intelligence to improve strategic business decision-making
A Pamisetty - Available at SSRN 5335817, 2025 - papers.ssrn.com
… The individual-level models directly predicted the probability that a human group or AI agent
… The SPESS approach utilizes a blended intelligence method under the design science …
Communicative AI Agents in Mathematical Task Design: A Qualitative Study of GPT Network Acting as a Multi-professional Team
S Schorcht, F Peters, J Kriegel - Digital Experiences in Mathematics …, 2024 - Springer
… Initially, an introduction clarifies the role of the AI agent, emphasizing that the AI agent should
not interpret the given task as a prompt to solve, but rather use it as an object of study. To …
DAO-ML To Solidity: A Model-Driven Approach for Decentralized Autonomous Organization Development
S AVANZO, M OTTINA, DS MITWALLI, D PAUTASSO… - 2018 - researchgate.net
Although these systems show their potential and are being increasingly adopted, several
studies indicate that DAOs are affected by a number of limitations and their development …
DESIGN, DEVELOPMENT, AND IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY: A SCOPING
I Grashoff, J Recker - researchgate.net
… Next, we into consideration the type of AI agent that is referred to within the current research
on AI technology development. Five publications drew on the perspective of AI technologies …
Design and development of a web-based prototype for human-AI collaboration: integration an AI participant to enhance creativity
I Makhonko - 2025 - lutpub.lut.fi
… This step covers the first 2 stages of the design science research … In case of collaboration AI
agent with individual, the biggest … and irrelevant answers have been provided from AI agent. …
Designing Human-Centered Hybrid Decision Support Systems
L Cao - 2023 - gupea.ub.gu.se
… This is a Design Science Research (DSR) dissertation that investigates how to design …
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have stated that transparency aims to provide operators an awareness of the AI agent’s “…
Designing and managing human-AI interactions
B Abedin, C Meske, I Junglas, F Rabhi… - Information Systems …, 2022 - Springer
… As part of a design science research project, the authors design a … agentic AI, examine in
what ways interactions with agentic AI would be similar or different from a non-agentic AI and …
Determinants of llm-assisted decision-making
E Eigner, T Händler - arXiv preprint arXiv:2402.17385, 2024 - arxiv.org
… The tendency of individuals to overestimate the performance of AI agents compared to
their own may lead to an overestimation of the AI agent [96]. Insufficient trust in AI can lead to …
Do Designers Generate Ideas Better with a Team of Specialized AI Agents or a General AI Agent?
Y Chen, Y Chen, Y Han, Y Zhou - International Conference on Human …, 2025 - Springer
… team of specialized AI agents with a general AI agent. We found that the team of specialized
… This study integrates team role theories into AI agent design, demonstrating how a team of …
Dynamic pricing of product clusters: a multi-agent reinforcement learning approach
LA Kropp, JJ Korbel, MM Theilig, R Zarnekow - 2019 - researchgate.net
… For simulating and evaluating the RL based multi-agent system in this study, the design
science research (DSR) methodology were identified as adequate approach to meet the …
EFFECTIVE INSERTION OF HIGH-SPEED NETWORKING INFRASTRUCTURE TECHNOLOGIES: E-BUSINESS MODEL FOR LEGACY ENVIRONMENTS
J Smith, A Ertas, T Maxwell, M Tanik - 2001 - scholar.archive.org
… Finally, I demonstrate possible transition from legacy to E-Business architectures by
showing potential applications – proposing a prototype AI agent. The figure below depicts the …
Enhancing gen AI with multimodal RAG systems
MA Abdullah - 2025 - oulurepo.oulu.fi
… Perhaps most transformative is the development of agentic AI systems capable of dynamically
… It further contributes to design science research in AI systems by offering validated design …
Evaluating design science research artefacts: A case of augmented AI
D Smit, S Eybers, LA Bierbaum - … Conference on Design Science …, 2022 - researchgate.net
… Design science research (DSR) is a methodology that … The use of recurrent design science
cycles [21] is a method that … , this paper describes an augmented AI agent that: (1) supports …
Evolving Research on Intelligent Agents Within Organizational Context: A Computational Literature Review
J Kevari, N Islam, P Kumar - Authorea Preprints, 2025 - techrxiv.org
… design science within IS (eg, Bankins et al., 2023; Benaddi et al., 2024; Gunnes et al., 2024).
Computational design science … How can organizations improve user trust towards AI agent …
Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review
IA Zahid, S Garfan, MA Chyad… - … on Emerging Topics …, 2025 - ieeexplore.ieee.org
… In AI agent transparency, the complexity of factors poses a challenge in creating a practical
… In [53], the study adopted a design science research methodology and an IS theoretical lens …
For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance
M Schaschek, N Spatscheck, A Winkelmann - 2024 - aisel.aisnet.org
… AI Embodiment: The way an AI agent is embodied in a human-AI collaboration can take
various forms, from physical robots to virtual agents or bots, or invisible embedded within a tool …
From ideas to ventures: building entrepreneurship knowledge with LLM, prompt engineering, and conversational agents
M Thanasi-Boçe, J Hoxha - Education and Information Technologies, 2024 - Springer
Entrepreneurship education has evolved to meet the demands of a dynamic business
environment, necessitating innovative teaching methods to prepare entrepreneurs for market …
GENERATIVE AI IN SOFTWARE DEVELOP-MENT
L Saarinen - Information Technology, 2024 - trepo.tuni.fi
… An approach commonly used in information technology and information systems research
called Design Science Research (DSR) was found and utilized for the study. DSR and …
HADA: Human-AI Agent Decision Alignment Architecture
T Pitkäranta, L Pitkäranta - arXiv preprint arXiv:2506.04253, 2025 - arxiv.org
… This study follows the Design Science Research methodology (DSR) to bridge theory
and practice through iterative artifact creation and evaluation. Guided by the canonical DSR …
Human-Centered Explainable AI: Creating Explanations that Address Stakeholder Needs
A Hummel - 2025 - researchgate.net
… Therefore, my research employs a design science research approach, implementing and …
for AI decision-making, enhancing both AI agent learning and end-user understanding. The …
Human‐AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners
J Edwards, A Nguyen, J Lämsä… - British Journal of …, 2025 - Wiley Online Library
… invite SSRL, we present a design of an AI agent, MAI, which can detect SSRL and prompt …
in design science research (DSR). Fortunately, the echeloned design science research (eDSR…
Multi-Agent AI
S Allmendinger, L Bonenberger, K Endres, D Fetzer… - 2025 - researchgate.net
Multi-Agent Artificial Intelligence (MAAI) represents a foundational shift in the automation of
knowledge work, moving beyond static workflows toward adaptive systems of interacting AI-…
RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning
R Ebrahimi, Y Chai, W Li, J Pacheco, H Chen - researchgate.net
… ’s strategies and further enhancing the cyber defense AI agent (Anderson et al. 2018).
Drawing on the computational design science paradigm, we leverage RO and RL to develop a …
Real Estate with AI: An agent based on LangChain
KR Haurum, R Ma, W Long - Procedia Computer Science, 2024 - Elsevier
… Recent research has introduced a new method for constructing a domain-specific AI agent
… Our AI agent is designed to assist potential homeowners and investors by reducing decision…
Rethinking AI Design Practices: A Reference Architecture for Generative AI Systems
MC Grau, P Reinhard, I Bauer-Hänsel, I Blohm - 2025 - aisel.aisnet.org
… Using a design science research approach, we developed the reference architecture
informed by consortium workshops, literature reviews, and expert interviews. The reference …
The Role of Artificial Intelligence in Enhancing Small Molecule-Based Cancer Treatments
S Babu, M Krishnan, ABA Bari - Small Molecules for Cancer Treatment, 2025 - Springer
… In RL, an AI agent is trained to perform actions (in this case, modifying chemical structures)
to maximize a reward (eg, predicted drug efficacy) while minimizing penalties (eg, predicted …
Transforming Higher Education Through AI Technology: A Design Science Research Approach
M Abouzahra - 2025 - aisel.aisnet.org
… This paper demonstrates how a Design Science Research approach can be harnessed
to develop a transformative AI-driven system for higher education. By integrating digital twin …
Use of artificial intelligent in Learning Management System (LMS): a systematic literature review
N Aldahwan, N Alsaeed - International Journal of Computer …, 2020 - researchgate.net
… AI agent. This operates according to the details the LMS services have provided. This AI agent
is … The authors used the design science method to examine the solution artifact, which met …
iDesignGPT: large language model agentic workflows boost engineering design
Z Zhang, S Liu, Y Shen, Y Zhang, Z Hou, X Wang… - 2025 - researchsquare.com
… In contrast, iDesignGPT’s agentic work ow, which dynamically integrates design science
across the entire process, proved far more effective. This demonstrates the necessity of a full-…