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A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines Feb 2026

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …


Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle Nov 2025

Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.


Passenger Delight In Liminal Spaces: Uncovering The Dynamics Of Airport Airside F&B, Thorsten Merkle, Sushanta Das Oct 2025

Passenger Delight In Liminal Spaces: Uncovering The Dynamics Of Airport Airside F&B, Thorsten Merkle, Sushanta Das

ICHRIE Research Reports

The airport airside environment is a unique and highly consequential setting for consumer behavior, where passengers’ food and beverage (F&B) decisions are shaped by time pressure, emotional states, and spatial constraints. This study empirically validates two complementary frameworks - the CX Delightors Framework and the Airport Airside Consumption Model - in the U.S. context to deepen understanding of passenger behavior in this liminal space. Using survey data from 1,374 passengers across three major U.S. hub airports (DEN, PHX, SLC), we conducted principal component analyses to refine the original nine CX Delightors attributes into five robust dimensions: Hospitality & Ambiance, Value …