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Human–AI Collaboration Models in Supply Chain Decision-Making

Elgeddawy, Y. G. A. (2026) · International Journal of Scientific Research in Science Engineering and Technology · doi:10.32628/ijsrset2613110 · Cited by 1 · see citing works

Human–AI Collaboration Models in Supply Chain Decision-Making

Elgeddawy, Y. G. A. (2026) · International Journal of Scientific Research in Science Engineering and Technology · doi:10.32628/ijsrset261316

Loop or sequential? Theorizing the role of human-bot collaborative patterns in online knowledge production

Zuo, M., Xu, L., & Gong, Y. (2026) · Decision Support Systems · doi:10.1016/j.dss.2026.114631

Cultivating a Culture of Innovation With AI

Eragamreddy, N. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-3510-9.ch007

Unleashing information processing capacity: Artificial intelligence and the stage-contingent transition to exploratory innovationPreprint

Wu, W., Zhai, M., & Li, C. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6557625

From comparison to collaboration: Experimental evidence on human and artificial intelligence in public decision making

Wang, S., Zhang, Y., Xiao, Y., & Liang, Z. (2026) · Information & Management · doi:10.1016/j.im.2026.104364 · Cited by 1 · see citing works

AIML-Based Automated HR Management System

Boddukoori, D., Balamurugan, J., Lakshmi, R. V., Gudwani, S., Basi Reddy., A., & Mahendran, P. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898814441126060004

From Interaction to Involution: Human-AI Interaction and Employee Work Involution

Cheng, S., & Fan, Q. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2691241

AI tool adoption as a driver of digital business model innovation and retail firm performance

Han, Z., Waris, I., & Bhutto, M. Y. (2026) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2025-0381

How Does Predictive AI Create Business Value? A Configurational Analysis From a Task‐Technology Fit Perspective

Gálvez, A. R., Soto‐Acosta, P., & Popa, S. (2026) · Systems Research and Behavioral Science · doi:10.1002/sres.70104

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-enabled Experimental SciencePreprint

Zhang, Y., Feng, C., Zhu, W., & Sun, T. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6765143

Designing a KPI Matrix for AI Performance Management in Retail Operations

Dunković, D. (2026) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2026-0178

Human-artificial intelligence for organizational hyper-performance: a systematic literature review

Vīcupe, J., Stibe, A., & Tambovceva, T. (2026) · Business and management · doi:10.3846/bm.2026.2406

A collaborative analytics framework for artificial intelligence-based demand forecasting in supply chains

Weisz, E., Herold, D. M., Prataviera, L. B., Pinar, M. F., Kummer, S., & Bures, M. (2026) · Supply Chain Analytics · doi:10.1016/j.sca.2026.100235

A Behavioral Economics-Driven AI Framework for Purchase Propensity Modeling in E-Commerce

Bharadwaj, D. K., Goel, P., & Kaur, N. (2026) · International Conference on Smart Systems and Inventive Technology (ICSSIT) · doi:10.1109/icssit69151.2026.11656634

Applying Expected Utility and Risk Aversion in AI-based Purchase Propensity Modeling for E-Commerce

Bharadwaj, D. K., Goel, P., & Kaur, N. (2026) · International Conference on Smart Systems and Inventive Technology (ICSSIT) · doi:10.1109/icssit69151.2026.11656565

Definition, Importance and Interconnectedness of Digital, Media and AI Literacy, and Safety and Security: A Systematic Literature Review

Albate, N., & Tick, A. (2026) · IEEE International Conference on Intelligent Engineering Systems (INES) · doi:10.1109/ines69513.2026.11661049

Understanding Consumer Adoption of Phygital Services: An SEM–fsQCA Approach

Duong, N. T., & Phan, A. T. T. (2026) · Journal of Global Marketing · doi:10.1080/08911762.2026.2724093

Mutual Enhancement: Human–AI Collaboration and Corporate Carbon Emission Performance

Ma, Q., & Wu, J. (2026) · Sustainability · doi:10.3390/su18199843

From Understanding to Collaboration: Unpacking the Black Box of Collaboration Between Street-Level Bureaucrats and Artificial Intelligence

Wu, J., Liu, Y. "., Panwang, Y., & Liao, L. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2734055

From automation to augmentation: Artificial intelligence capability development, exploratory search, and technological catch-up in latecomer firmsPreprint

Wu, W., Zhai, M., & Li, C. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7615879

The automation paradox: Efficiency gains vs. workforce concerns in human-AI collaboration

Kumar, N., Kumar, R. R., & Raj, A. (2026) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2026.103145

Who Forecasts Best? A Meta-Analysis of Human, AI, and Human–AI Performance

Hornstein, P., & Ahrens, F. K. (2026) · Academy of Management Proceedings · doi:10.5465/amproc.2026.16722abstract

Human–AI Collaborative Decision Support for Demand Forecasting and Inventory Planning: An Optimization-Guided Override FrameworkPreprint

David, L. K., Wang, J., & Cisse, I. I. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6993289

Calibrated Intervention in Human-AI Collaborative Forecasting PROJECTPreprint

Zhang, Y. (2026) · doi:10.17605/osf.io/a5t8x

Collaborative Human-Machine Learning for Demand Planning

Brau, R. I., McKinley, F. A., Aloysius, J. A., & Siemsen, E. (2024) · Academy of Management Proceedings · doi:10.5465/amproc.2024.353bp

Exploring the Synergies in Human-AI Hybrids: A Longitudinal Analysis in Sales Forecasting

Fahse, T., & Schmitt, A. (2023) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 1 · see citing works