Research
Academic research applied to practice. Peer-reviewed publications and working papers informing our product decisions.
Artificial Intelligence for Business Competitiveness
How businesses are deploying Artificial Intelligence to become more competitive. Examines challenges including data quality, bias, integration complexity, and workforce displacement. Covers emerging trends like Explainable AI, Federated Learning, and Generative AI expansion with company examples from Morgan Stanley, Duolingo, KPMG, Amazon, and Netflix.
Download PDFAgentic AI Adoption in ERP Implementations
A mixed methods study examining how organizational stakeholders, implementation leaders, and ERP managers perceive and adopt agentic artificial intelligence capabilities within ERP implementations. Investigates factors associated with acceptance or resistance and explores organizational strategies for integrating agentic AI into ERP workflows.
Download DOCXManagerial Trust in AI-Driven ERP Systems
A qualitative case study exploring how managers interpret, trust, and act upon artificial intelligence insights generated by enterprise resource planning systems. Draws on Sensemaking Theory and the Technology Acceptance Model to examine the cognitive and contextual factors shaping adoption behavior.
Download DOCXSmoking, Body Mass, and Insurance Expenses
Evidence from an individual-level cross section examining how smoking status, body mass index, and age predict annual health insurance expenses. Uses ordinary least squares regression to demonstrate that smoking is associated with approximately $23,834 increase in annual costs, with R-squared of 0.748.
Download DOCXTesla Electric Motorcycle Capital Budgeting Analysis
Strategic capital budgeting and WACC analysis for launching Tesla's hypothetical electric motorcycle line. Includes cost of equity estimation using CAPM, NPV and IRR calculations, scenario analysis, and strategic assessment of alignment with company goals.
Download DOCXBuilding AI-Ready Operations for Small and Mid-Sized Businesses
A practical data and process foundation for ERP-centered digital transformation. Proposes a four-foundation model for AI readiness covering data and semantics, process and control, people and change, and governance and risk. Includes a phased implementation roadmap and architecture patterns for lean SMB teams.
Download DOCXAI Adoption in Small Businesses
Examining barriers and enablers of AI adoption in SMBs with a focus on practical implementation strategies. Uses the Technology-Organization-Environment framework and Diffusion of Innovations theory to analyze adoption patterns. Provides a research design and implementation playbook for safe, measurable outcomes.
Download DOCX