Intelligent Computer Systems Research Institute

Publications

Knowledge-Based Systems (KBS) Development and Methodologies

Focus: Methodologies, formal specifications, and software engineering approaches for developing knowledge-based systems, including software quality factors and integrated methodologies.

  1. Methodologies for the Development of Knowledge-Based Systems: 1982-2002
    • Robert Plant & Rose Gamble
    • Knowledge Engineering Review, 2003
  2. An Integrated Methodology for Knowledge-Based System Development
    • R.T. Plant & P. Tsoumpas
    • Expert Systems with Applications, 1994
  3. Towards an Integrated Software Engineering - Knowledge Engineering Methodology for Knowledge-Based System Development
    • R.T. Plant & P. Tsoumpas
    • AAIA Aerospace Sciences Conference, 1993
  4. A Rigorous Approach to the Development of Knowledge-Based Systems
    • R.T. Plant
    • Knowledge-Based Systems, 1991
  5. Utilizing Formal Specifications in the Development of Knowledge-Based Systems
    • R.T. Plant
    • In Artificial Intelligence and Software Engineering, 1991
  6. A Software Engineering Approach to the Development of Knowledge Bases
    • R.T. Plant
    • British Computer Society Series, 1988
  7. Towards a Methodology for Expert Systems
    • R.T. Plant, M.J.R. Shave, & D.S. Moralee
    • Second International Symposium on Knowledge-Based Systems, 1987
  8. A Methodology for Knowledge Acquisition
    • R.T. Plant, D.S. Moralee, & M.J.R. Shave
    • Colloquia on Architectures for Intelligent Knowledge-Based Systems, 1987
  9. Expert System Development and Testing: A Knowledge Engineer's Perspective
    • R.T. Plant
    • Journal of Systems and Software, 1992
  10. Issues in the Development of Quality Knowledge-Based Systems
    • R.T. Plant
    • In Managing Expert Systems Resources, 1991
  11. Project Management Through Knowledge-Based Systems
    • R.T. Plant & W.C. Mattimore
    • In Expert Systems for Business and Management, 1990

Validation and Verification (V&V) of Knowledge-Based Systems

Focus: Techniques, tools, and methodologies for the validation and verification of knowledge-based systems and expert systems, including surveys, formal approaches, and anomaly detection.

  1. Using KBS Verification Techniques to Demonstrate the Existence of Rule Anomalies in ADBs
    • A.V. Pai, R.F. Gamble, & R.T. Plant
    • Information and Software Technology, 1999
  2. Rule-Based Systems Formalized within a Software Architectural Style
    • R. Gamble & R.T. Plant
    • Knowledge-Based Systems Journal, 1999
  3. A Survey of Tools for Validation and Verification: 1985-1995
    • S. Murrell & R.T. Plant
    • Decision Support Systems, 1997
  4. On the Verification and Validation of Production Systems: A Graph Reduction Approach
    • S. Murrell & R.T. Plant
    • International Journal of Human-Computer Studies, 1996
  5. Decision Tables: Formalisation, Validation & Verification
    • S. Murrell & R.T. Plant
    • Software Testing Verification & Reliability, 1995
  6. Formal Semantics for Rule-Based Systems
    • S. Murrell & R.T. Plant
    • Journal of Systems & Software, 1995
  7. On the Validation, Verification and Testing of Knowledge-Based Systems
    • R.T. Plant
    • Heuristics: The Journal of Knowledge-Based Systems, 1990
  8. Proceedings from 7th Annual AAAI Workshop on Validation & Verification
    • R.T. Plant (Editor)
    • AAAI Workshop, 1994
  9. Verification and Validation of Knowledge-Based Systems: Report on Two 1997 Events
    • G. Antoniou, F. van Harmelen, R. Plant, & R. Vanthienen
    • AI Magazine, 1998
  10. Formal Specification of Rule-Based Systems Through Styles
    • S. Murrell, R.T. Plant, & R. Gamble
    • AAAI Workshop Notes, 1996
  11. Report: The Seventh Workshop on Validation & Verification of Knowledge-Based Systems
    • R.T. Plant
    • AI Magazine, 1995
  12. A Survey of Verification & Validation of Uncertainty Management Systems
    • D.E. O'Leary & R.T. Plant
    • International Conference on Information Processing and Management of Uncertainty, 1994
  13. The Meta-Knowledge Level: A Methodology for Validation
    • R.T. Plant
    • AAAI Workshop, 1993
  14. Increasing Expert System Reliability Through the Use of a Formal Specification
    • R.T. Plant & D.I. Gold
    • AAAI Workshop, 1990
  15. The Verification and Validation of Expert Systems
    • R.T. Plant
    • Computers in Aerospace VII, 1989
  16. Assessing KBS Construction and Verification Techniques for Knowledge Management
    • R. Plant, T. Gamble, & R. Gamble
    • AAAI Workshop Notes, 1998
  17. KBS-DetectOR: Automating Anomaly Detection in Hybrid KBSs
    • P.R. Stinger, R. Gamble, H.L. Christensen, & R.T. Plant
    • FLAIRS Conference, 1997

Artificial Intelligence and Law

Focus: The intersection of AI and legal frameworks, including the impact of AI on legal practice, copyright law, unauthorized practice of law, and biases in AI-generated content within legal contexts.

  1. AI and Law’s Eroding Moral Authority
    • Joseph J. Avery
    • BYU Law Review (Forthcoming 2025)
  2. AI Artists on the Stand: Bias Against Artificial Intelligence-Generated Works in Copyright Law
    • Joseph J. Avery & W. Michael Schuster
    • UC Irvine Law Review (Forthcoming 2025)
  3. A Badge of Legal Authorship: Disclosing AI’s Role in Text Creation
    • Joseph J. Avery, Patricia Abril, & Alissa del Riego
    • Northwestern Journal of Technology and Intellectual Property (Forthcoming 2024)
  4. ChatGPT Esquire: Recasting Unauthorized Practice of Law in the Era of Generative AI
    • Joseph J. Avery, Patricia Abril, & Alissa del Riego
    • Yale Journal of Law & Technology, 26, 64 (2024)
  5. Fumble! Anti-Human Bias in the Wake of Socio-Technical System Failures
    • Joseph J. Avery
    • Arizona State Law Journal, 53, 1009 (2022)
  6. Predicting Up and Down: A Framework for Legal Prediction
    • Joseph J. Avery
    • University of Pennsylvania Journal of Constitutional Law, 24, 480 (2022)

NeuroIS and Cognitive Neuroscience in Information Systems

Focus: Integration of neuroscience methods into information systems research to understand user behavior, trust, privacy, advertising effectiveness, and decision-making processes.

  1. Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy
    • Reeck, C., Guo, X., Dimoka, A., & Pavlou, P.A.
    • Information Systems Research (2024)
  2. Consumer Processing of Online Trust Signals: A Neuroimaging Study
    • Casado-Aranda, L.A., Dimoka, A., & Sánchez-Fernández, J.
    • Journal of Interactive Marketing, 47, 159-180 (2019)
  3. Predicting Advertising Success: New Insights from Neuroscience and Market Response Modeling
    • Venkatraman, V., Dimoka, A., Pavlou, P.A., et al.
    • Journal of Marketing Research, 52(4), 436-452 (2015)
  4. Brain Mapping of Psychological Processes with Psychometric Scales: An fMRI Method for Social Neuroscience
    • Dimoka, A.
    • NeuroImage, 54(S263-S271) (2011)
  5. NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research
    • Dimoka, A., Pavlou, P.A., & Davis, F.
    • Information Systems Research, 22(4), 687-702 (2011)
  6. What Does the Brain Tell Us about Trust and Distrust? Evidence from a Functional Neuroimaging Study
    • Dimoka, A.
    • MIS Quarterly, 34(2), 373-396 (2010)
  7. On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS
    • Dimoka, A., et al.
    • MIS Quarterly, 36(3), 679-702 (2012)
  8. Modeling the Nonlinear Dynamic Interactions of Afferent Pathways in the Dentate Gyrus of the Hippocampus
    • Dimoka, A., Courellis, S.H., Marmarelis, V.Z., & Berger, T.W.
    • Annals of Biomedical Engineering, 36(5), 852-864 (2008)
  9. Modeling the Nonlinear Properties of the in vitro Hippocampal Perforant Path-Dentate System Using Multi-Electrode Array Technology
    • Dimoka, A., et al.
    • IEEE Transactions on Biomedical Engineering, 55(2), 693-702 (2008)

Digital Platforms, Blockchain, and Algorithmic Governance

Focus: Studies on digital platforms, blockchain technology, decentralized organizations, data network effects, and algorithmic management in online labor markets.

  1. Cooperation among Strangers: Algorithmic Enforcement of Reciprocal Exchange with Blockchain-Based Smart Contracts
    • Gregory, R. W., Beck, R., Henfridsson, O., & Yaraghi, N.
    • Academy of Management Review (Forthcoming)
  2. Skin in the Game: The Transformational Potential of Decentralized Autonomous Organizations
    • Ellinger, E., Gregory, R., Mini, T., Widjaja, T., & Henfridsson, O.
    • MIS Quarterly, 48(1), 245-272
  3. Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control
    • Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W.
    • MIS Quarterly, 45(4), 1999-2022
  4. Data Network Effects: Key Conditions, Shared Data, and the Data Value Duality
    • Gregory, R. W., Henfridsson, O., Kaganer, E., & Kyriakou, H.
    • Academy of Management Review, 47(1), 189-192 (2022)
  5. The Role of Artificial Intelligence and Data Network Effects for Creating User Value
    • Gregory, R. W., Henfridsson, O., Kaganer, E., & Kyriakou, H.
    • Academy of Management Review, 46(3), 534-551 (2021)
  6. IT Consumerization and the Transformation of IT Governance
    • Gregory, R. W., Kaganer, E., Henfridsson, O., & Ruch, T. J.
    • MIS Quarterly, 42(4), 1225-1253 (2018)
  7. Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit
    • He, Q., Hong, Y., & Raghu, T.S.
    • Information Systems Research (Forthcoming)
  8. Monitoring and Home Bias in Global Hiring: Evidence from an Online Labor Platform
    • Liang, C., Hong, Y., & Gu, B.
    • Information Systems Research (Forthcoming)
  9. Pay, Pat, and Clawback: Incentivizing Service Providers’ Participation in On-Demand Digital Platforms
    • Yaraghi, N., Ramesh, R., & Kumar, G.T.
    • Management Science (Forthcoming)

Online Labor Markets and the Gig Economy

Focus: Analysis of online labor platforms, gig economy dynamics, worker participation, monitoring, and biases affecting hiring and service provision.

  1. Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets
    • Hong, Y., Peng, J., Burtch, G., & Huang, N.
    • Information Systems Research, 32(3), 786–800 (2021)
  2. Monitoring and the Cold Start Problem in Digital Platforms: Theory and Evidence from Online Labor Markets
    • Liang, C., Hong, Y., & Gu, B.
    • Information Systems Research (Forthcoming)
  3. Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market
    • Huang, N., Burtch, G., Hong, Y., & Pavlou, P.A.
    • Information Systems Research, 31(2), 431–448 (2020)
  4. Surviving in Global Online Labor Markets for IT Services: A Geo-Economic Analysis
    • Kanat, I., Hong, Y., & Raghu, T.S.
    • Information Systems Research, 29(4), 893–909 (2018)
  5. Putting Religious Bias in Context: How Offline and Online Contexts Shape Religious Bias in Online Pro-Social Lending
    • Sabzehzar, A., Burtch, G., Hong, Y., & Raghu, T.S.
    • MIS Quarterly, 47(1), 33–62 (2023)
  6. On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services
    • Hong, Y., & Pavlou, P.A.
    • Information Systems Research, 28(3), 547–562 (2017)
  7. On Factors that Moderate the Effect of Buyer-Supplier Experience on E-Procurement Platforms
    • Hong, Y., & Shao, B.B.M.
    • Production and Operations Management, 30(4), 1034–1051 (2021)

Marketing Science and AI Applications in Marketing

Focus: Utilization of AI and neural networks in marketing for customer identification, email testing, advertising effectiveness, and improving patient satisfaction.

  1. Unlimited Testing: Let's Test Your Emails with AI
    • Nguyen Nguyen, Joseph Johnson, & Michael Tsiros
    • Marketing Science, 43(2), 419-439 (2024)
  2. A Neural Network Application to Identify High-Value Customers for a Large Retail Store in Japan
    • Gupta, J., Smith-Miles, K., Ip, E., Johnson, J., et al.
    • In Data Mining: A Heuristic Approach (2002)
  3. Relative Effectiveness of Print and Digital Advertising: A Memory Perspective
    • Venkatraman, V., Dimoka, A., Vo, K., & Pavlou, P.A.
    • Journal of Marketing Research, 58(5), 827-844 (2021)
  4. Improving Patient Satisfaction by Monitoring Hospital Service Quality
    • Ullmann, S. G., Johnson, J., Khosla, S., Griff, J. R., & Webb, S. R.
    • Health Management, Policy and Innovation, 7(3) (2022)
  5. Looking at the Brain: Neural Effects of "Made in" Labeling on Product Value and Choice
    • Casado-Aranda, L.A., Dimoka, A., & Sánchez-Fernández, J.
    • Journal of Retailing and Consumer Services, 60, 102452 (2021)

Explainable AI and Pattern Classification

Focus: Development of explainable AI models, pattern classification techniques, and tools for enhanced transparency and interpretability in AI applications.

  1. Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability Across Business Applications
    • Leon, M., & DeSimone, H.
    • Advances in Science, Technology and Engineering Systems Journal, 9(5), 9–20 (2024)
  2. Prolog-Based Agnostic Explanation Module for Structured Pattern Classification
    • Nápoles, G., Hoitsma, F., Knoben, A., Jastrzebska, A., & Leon, M.
    • Information Sciences, 622, 1196–1227 (2023)
  3. Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
    • Nápoles, G., Salgueiro, Y., Grau, I., & Leon, M.
    • IEEE Transactions on Cybernetics, 53(10), 6083–6094 (2022)
  4. FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps
    • Nápoles, G., Leon, M., Grau, I., & Vanhoof, K.
    • International Journal on Artificial Intelligence Tools, 27(7) (2018)

Organizational Behavior and the Impact of AI

Focus: Examination of AI's influence on organizational behavior, ethics, and acknowledgment of AI tools in research and writing.

  1. Awe-Inspiring Advancements in AI: The Impact of ChatGPT on the Field of Organizational Behavior
    • Dasborough, M. T.
    • Journal of Organizational Behavior, 44(2), 177-179 (2023)
  2. Ghostwriters in the Machine: Openly Appreciating AI Tools and Humans Who Helped Us
    • Dasborough, M. T.
    • Journal of Organizational Behavior, 45(2), 155-158 (2024)

Decision Support Systems (DSS) and Applications

Focus: Development and implementation of decision support systems in various domains such as healthcare, education, urban planning, and casting production defects.

  1. A Prototype Decision Support System for a Differential Diagnosis of Psychotic, Mood, and Organic Mental Disorders: Part II
    • R.T. Plant, S. Murrell, & H.R. Moreno
    • Medical Decision Making, 1994
  2. Choosing a College Major: A Prototype Decision Support System
    • B. Zweibleman & R.T. Plant
    • Computers in Human Behavior, 1994
  3. CISEPO [City Selection Program]: A DSS for Relocating Companies within the U.S.
    • R.T. Plant & J.P. Salinas
    • Computers, Environment and Urban Systems, 1992
  4. The Development of a Prototype DSS for the Diagnosis of Casting Production Defects
    • R.T. Plant & Q. Hu
    • Computers & Industrial Engineering, 1992
  5. Expert Systems Shell Benchmarks: The Missing Comparison Factor
    • R.T. Plant & J.P. Salinas
    • Information & Management, 1994
  6. Testing Decision Support Systems
    • R.T. Plant
    • International Conference on Economics and AI, 1990
  7. An Intelligent Trainer for Neural Networks
    • Q. Hu, R.T. Plant, & D.B. Hertz
    • FLAIRS, 1994
  8. A Prototype DSS for a Differential Diagnosis of Psychotic, Mood, and Organic Mental Disorders
    • H.R. Moreno & R.T. Plant
    • Medical Decision Making, 1993

Operations Management and Inventory Systems

Focus: Research on inventory management, pricing strategies under uncertain demand, dual sourcing systems, and online learning in supply chain systems.

  1. Online Learning for Dual Index Policies in Dual Sourcing Systems
  2. Offline Feature-Based Pricing under Censored Demand: A Causal Inference Approach
  3. Multiproduct Inventory Systems with Upgrading: Replenishment, Allocation, and Online Learning
  4. Customer Interfaces: Predicting, Planning, and Influencing Demand
    • Eksioglu, S. D., & Azadi, Z.
    • In Maynard's Industrial and Systems Engineering Handbook, 6th Edition, McGraw-Hill (2023)

Health Management and Patient Satisfaction

Focus: Strategies for improving patient satisfaction through monitoring hospital service quality and the intersection of health management and marketing.

  1. Improving Patient Satisfaction by Monitoring Hospital Service Quality
    • Ullmann, S. G., Johnson, J., Khosla, S., Griff, J. R., & Webb, S. R.
    • Health Management, Policy and Innovation, 7(3) (2022)

Sustainability and Business Models

Focus: Development of sustainable business models and understanding sustainability innovations through ethical networks.

  1. Beyond the Triple Bottom Line: Eight Steps Toward a Sustainable Business Model
    • Szekely, F., & Dossa, Z.
    • MIT Press (2024)
  2. Understanding Sustainability Innovations Through Positive Ethical Networks
    • Dossa, Z., & Kaeufer, K.
    • Journal of Business Ethics, 119, 543–559 (2014)

Technical Advancements in AI and Reinforcement Learning

Focus: Application of reinforcement learning, predictive analytics, and smart contracts in AI, including prevention of cyber-attacks.

  1. A Generative Reinforcement Learning Framework for Predictive Analytics
    • Skordilis, E., Moghaddass, R., & Farhat, Md.
    • IEEE RAMS Proceedings (2023)
  2. Intelligent Prevention of DDoS Attacks Using Reinforcement Learning and Smart Contracts
    • Struble, E., Leon Espinosa, M., & Skordilis, E.
    • FLAIRS Conference Proceedings, 37(1) (2024)
  3. Intelligent Decision Making Systems
    • Leon, M., Bello, R., & Vanhoof, K.
    • In Intelligent Decision Making Systems, 2010

Privacy, User Behavior, and Online Platforms

Focus: Studies on enhancing user privacy, managing congestion in matching markets, effects of social sharing, and user engagement on online platforms.

  1. Enhancing User Privacy Through Ephemeral Sharing Design: Experimental Evidence from the Online Dating Context
    • He, Y., Xu, X., Huang, N., Hong, Y., & Liu, D.
    • Information Systems Research (Forthcoming)
  2. Managing Congestion in a Matching Market via Demand Information Disclosure
    • Huang, N., Burtch, G., He, Y., & Hong, Y.
    • Information Systems Research, 33(4), 1196–1220 (2022)
  3. Designing Promotional Incentives to Embrace Social Sharing: Evidence from Field and Online Experiments
    • Sun, T., Viswanathan, S., Huang, N., & Zheleva, E.
    • MIS Quarterly, 45(2), 789–820 (2021)
  4. Social Network Integration and User Content Generation: Evidence from Natural Experiments
    • Huang, N., Hong, Y., & Burtch, G.
    • MIS Quarterly, 41(4), 1035–1058 (2017)
  5. Culture, Conformity, and Emotional Suppression in Online Reviews
    • Hong, Y., Huang, N., Burtch, G., & Li, C.
    • Journal of the Association for Information Systems, 17(11), 308–329 (2016)
  6. Effects of Multiple Psychological Distances on Construal and Consumer Evaluation: A Field Study of Online Reviews
    • Huang, N., Burtch, G., Hong, Y., & Polman, E.
    • Journal of Consumer Psychology, 26(4), 474–482 (2016)

Digital Innovation and IT Governance

Focus: Insights into digital innovation strategies, IT governance transformation, platform strategies, and the role of AI in creating user value.

  1. Extending Digital Ventures through Templating
    • Huang, J., Henfridsson, O., & Liu, M. J.
    • Information Systems Research, 33(1), 285-310 (2022)
  2. Four Tactics for Implementing a Balanced Digital Platform Strategy
    • Karhu, K., Gustafsson, R., Eaton, B., Henfridsson, O., & Sorensen, C.
    • MIS Quarterly Executive, 19(2), 19-34 (2020)
  3. Bridging Art and Science: Phenomenon-Driven Theorizing
    • Gregory, R. W., & Henfridsson, O.
    • Journal of Association for Information Systems, 22 (2021)
  4. The Generative Mechanisms of Digital Infrastructure Evolution
    • Henfridsson, O., & Bygstad, B.
    • MIS Quarterly, 37(3), 907-931 (2013)
  5. IT Consumerization and the Transformation of IT Governance
    • Gregory, R. W., Kaganer, E., Henfridsson, O., & Ruch, T. J.
    • MIS Quarterly, 42(4), 1225-1253 (2018)

Customer Interfaces and Demand Forecasting

Focus: Exploration of customer interfaces, demand prediction, planning, and influencing strategies within industrial engineering contexts.

  1. Customer Interfaces: Predicting, Planning, and Influencing Demand
    • Eksioglu, S. D., & Azadi, Z.
    • In Maynard's Industrial and Systems Engineering Handbook, 6th Edition, McGraw-Hill (2023)

Neural Networks and AI in Business Applications

Focus: Application of neural networks and AI techniques in business contexts, including customer identification and high-value customer segmentation.

  1. A Neural Network Application to Identify High-Value Customers for a Large Retail Store in Japan
    • Gupta, J., Smith-Miles, K., Ip, E., Johnson, J., et al.
    • In Data Mining: A Heuristic Approach (2002)
  2. An Intelligent Trainer for Neural Networks
    • Q. Hu, R.T. Plant, & D.B. Hertz
    • FLAIRS, 1994

AI in Virtual Organizations and Business Process Reengineering

Focus: Application of AI in virtual organizations, electronic commerce, and reengineering business processes.

  1. Artificial Intelligence and Virtual Organizations
    • D. Kuokka, D.E. O’Leary, & R.T. Plant
    • Communications of the ACM, 1997
  2. The Agile Organization: Technology & Innovation
    • R.T. Plant & S. Murrell
    • AAAI Workshop Notes, 1997
  3. Using AI in Electronic Commerce, Virtual Organizations, and Enterprise Knowledge Management to Reengineer the Corporation
    • R.T. Plant & S. Murrell
    • AAAI Workshop, 1997

AI and Policy Implications in Management

Focus: Leadership challenges in the age of AI, algorithmic decision-making impacts on trust, employee productivity, and executive IT governance.

  1. Leadership in the Age of AI: Algorithmic Decision-Making at Bridgewater
    • Korogodsky, A., Gregory, R.W., & Almandoz, J.
    • Teaching Case Study and Instructor Notes, IESE Publishing (2024)
  2. Recursive Impacts of Algorithmic Management on Trust and Employee Productivity in Professional Work Settings
    • Korogodsky, A.
    • In Proceedings of the 58th Annual Hawaii International Conference on System Sciences, IEEE (2024)
  3. A Socio-Technical Model for Project-Based Executive IT Governance
    • Murphy, K., Lyytinen, K., & Somers, T.
    • SCIREA Journal of Computer, 8(1), 25–48 (2023)