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Publication search results
found 1,689 matches
- 2024
- Carina Benz, Lara Riefle, Gerhard Satzger:
User Engagement and Beyond: A Conceptual Framework for Engagement in Information Systems Research. Commun. Assoc. Inf. Syst. 54: 15 (2024) - Tho V. Le, Ruoling Fan:
Digital twins for logistics and supply chain systems: Literature review, conceptual framework, research potential, and practical challenges. Comput. Ind. Eng. 187: 109768 (2024) - Complexity:
Retracted: Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory. Complex. 2024: 9891353:1-9891353:1 (2024) - Jin Xiao, Zhang Wen, Xiaoyi Jiang, Lean Yu, Shouyang Wang:
Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. Decis. Support Syst. 177: 114090 (2024) - Andrew M. Hardin, Robert M. Davison, Christoph Schneider, Clayton A. Looney, Suprateek Sarker:
Contextualising collective efficacy in virtual team research: The essential role of collaborative technologies in the virtual team efficacy conceptual framework. Inf. Syst. J. 34(2): 469-498 (2024) - Amir Haj-Bolouri, Kieran Conboy, Shirley Gregor:
Research Perspectives: An Encompassing Framework for Conceptualizing Space in Information Systems: Philosophical Perspectives, Themes, and Concepts. J. Assoc. Inf. Syst. 25(2): 3 (2024) - Abdulrahman Aldkheel, Lina Zhou:
Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities. J. Heal. Informatics Res. 8(1): 88-120 (2024) - Asif Qumer Gill:
The digital ecosystem information framework: Insights from action design research. J. Inf. Sci. 50(1): 85-88 (2024) - Prashant Kumar, Kota Solomon Raju:
Machine learning models in structural engineering research and a secured framework for structural health monitoring. Multim. Tools Appl. 83(3): 7721-7759 (2024) - Huajun Di:
Design and research of automated warehouse simulation platform based on virtual visualization framework. PeerJ Comput. Sci. 10: e1809 (2024) - Leif Sundberg, Jonny Holmström:
Citizen-centricity in digital government research: A literature review and integrative framework. Inf. Polity 29(1): 55-72 (2024) - Divyansh Kaushik, Zachary C. Lipton, Alex John London:
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers? ACM Queue 21(6): 101-127 (2024) - Mostafa Hamadi, Jamal El-Den:
A conceptual research framework for sustainable digital learning in higher education. Res. Pract. Technol. Enhanc. Learn. 19: 1 (2024) - Ruchi Mishra, Rajesh Kr Singh, Thanos Papadopoulos:
Linking Digital Orientation and Data-Driven Innovations: A SAP-LAP Linkage Framework and Research Propositions. IEEE Trans. Engineering Management 71: 1346-1358 (2024) - Rastislav Rajnoha, Jakub Hadac:
Strategic Key Elements in Big Data Analytics as Driving Forces of IoT Manufacturing Value Creation: A Challenge for Research Framework. IEEE Trans. Engineering Management 71: 90-105 (2024) - Lone Seboni:
A Framework for Identifying and Validating Idea Screening Criteria - A Case of Research and Development Projects in the Computing and Automation Industry. IEEE Trans. Engineering Management 71: 182-191 (2024) - David T. W. Wong, Eric W. T. Ngai:
Data-Driven Innovation: A Literature Review, Conceptual Framework, and Research Agenda. IEEE Trans. Engineering Management 71: 5815-5828 (2024) - ZhongGui Pei:
Framework design based on data-driven for evaluating the efficiency of group collaboration in scientific research teams. J. Supercomput. 80(7): 10148-10171 (2024) - Alexander Chung, Kevin Shedlock, Jacqueline Corbett:
Decolonizing Information Technology Design: A Framework for Integrating Indigenous Knowledge in Design Science Research. HICSS 2024: 6944-6953 - Luca Crosato, Chongfeng Wei, Edmond S. L. Ho, Hubert P. H. Shum, Yuzhu Sun:
A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection. HRI 2024: 167-174 - Shi Yin, Xinyang Pan, Xudong Zhu, Tianyu Gao, Haochong Zhang, Feng Wu, Lixin He:
Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework. CoRR abs/2401.00744 (2024) - Anirban Mukhopadhyay, Sukrit Venkatagiri, Kurt Luther:
OSINT Research Studios: A Flexible Crowdsourcing Framework to Scale Up Open Source Intelligence Investigations. CoRR abs/2401.00928 (2024) - Jan Dohmen, Frank Röder, Manfred Eppe:
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research. CoRR abs/2401.14488 (2024) - Avinash Kumar Chaurasia, Matin Fallahi, Thorsten Strufe, Philipp Terhörst, Patricia Arias Cabarcos:
NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research. CoRR abs/2402.08656 (2024) - Gemb Kaljavesi, Tobias Kerbl, Tobias Betz, Kirill Mitkovskii, Frank Diermeyer:
CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development. CoRR abs/2402.11239 (2024) - Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin:
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. CoRR abs/2402.13005 (2024) - Konstantinos Kanellopoulos, Konstantinos Sgouras, Onur Mutlu:
Virtuoso: An Open-Source, Comprehensive and Modular Simulation Framework for Virtual Memory Research. CoRR abs/2403.04635 (2024) - 2023
- Fahimeh Hosseinnia Shavaki, Ali Ebrahimi Ghahnavieh:
Applications of deep learning into supply chain management: a systematic literature review and a framework for future research. Artif. Intell. Rev. 56(5): 4447-4489 (2023) - Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Sadegh Ghazanfari, Saharnaz Sazgarnejad:
Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework. BioData Min. 16(1) (2023) - Elisabeth Bauer, Martin Greisel, Ilia Kuznetsov, Markus Berndt, Ingo Kollar, Markus Dresel, Martin R. Fischer, Frank Fischer:
Using natural language processing to support peer-feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda. Br. J. Educ. Technol. 54(5): 1222-1245 (2023)
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