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Full-Text Articles in Management Information Systems
Influencing Air Force Logisticians' Information Seeking During The Covid-19 Pandemic: The Role Of Organizational Meetings In An Expanded Prism Framework, Matthew D. Roberts, Christopher T. Price, Seong-Jong Joo
Influencing Air Force Logisticians' Information Seeking During The Covid-19 Pandemic: The Role Of Organizational Meetings In An Expanded Prism Framework, Matthew D. Roberts, Christopher T. Price, Seong-Jong Joo
Faculty Publications
Purpose: This research aims to understand how organizational workplace meetings surrounding the COVID-19 pandemic impacted logistics Airmen across the United States Air Force and how these meetings impacted their risk seeking behavior on social media.
Design/methodology/approach: This survey research tested an extended Planned Risk Information Risk Seeking Model (PRISM) with organizational meetings as an antecedent to determine if current meetings influenced an Airman's perceived behavioral control, attitude toward seeking, subjective norms, knowledge sufficiency and intention to seek information regarding COVID-19.
Findings: Results of the CFA showed that the expanded PRISM model had good model fit. Additionally, using …
Improving Data-Driven Infrastructure Degradation Forecast Skill With Stepwise Asset Condition Prediction Models, Kurt R. Lamm, Justin D. Delorit, Michael N. Grussing, Steven J. Schuldt
Improving Data-Driven Infrastructure Degradation Forecast Skill With Stepwise Asset Condition Prediction Models, Kurt R. Lamm, Justin D. Delorit, Michael N. Grussing, Steven J. Schuldt
Faculty Publications
Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use these data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on poorly-fit, continuous functions. This research presents four stepwise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-Intelligent Weighted Slope, and (4) …