AHFE Open AccessApplying Brunswik’s Lens Model to Investigate Decision-Making in Food Bank Operations
Abstract
Despite the power of data analytics, the human decision making cannot be overlooked in the food bank operations. To better integrate humans with intelligent systems, judgement policies of food bank operations managers need to be investigated. This study explored the impact and relative importance of cues on agency status decision making using Brunswik’s Lens model. Cues were identified by communicating with senior members of a local food bank Partner Services. Judgment information was drawn from a table combining data from agency monthly reports and account aging summary, while criterion responses were found using a rule-based selection according to food bank documentation. The findings of this study could shed light on integrating humans with intelligent systems.
Keywords: Food Insecurity, Lens Model, Decision Making
DOI: 10.54941/ahfe1007718
Cite this paper
More from this volume
- Translational Service Research And Design Methodology: What it is, What it is not, What it might be
- Service Ecosystem Engineering to Overcome Translational Gaps in Digital Transformation
- Human Judgment in Democratic Service Systems: A Knowledge–Values–Thinking Capability Framework
- Bridging Translational Gaps in Psychological Care - A Care Platform Approach
- Closing the AI-Loop: A Review of Human-Guided Machine Learning Approaches
- Evolving the OVB Service Platform Approach to Overcome the AI Experimentation Trap
- Beyond Availability: Closing Adoption Gaps in Digital Health Prevention — A TSRDM Approach
- Navigating Digital Transformation: The Strategic Alliance as a Digital Catalyst for Corporate Digital Entrepreneurship in China’s EV Transition
- Shaping Börsen-Zeitung: Evolving from Print Media to a Leading Community Platform for Financial Market Decision-Makers
- Applying TSRDM framework to Charité´s Fast Follower IT Strategy - Bridging Translational Gaps of Digital Transformation
- Bridging Translational Gaps in Learning Healthcare Systems
- The mimetic Power for the Diffusion of Innovation