TableĀ 3

Abductive process description

ObservationMismatch with OIPT constructsAbductive inferenceResulting actionEvidence of effect
AI adoption enhanced forecasting capability but created dependency on high-quality dataOIPT addresses task/uncertainty fit but not new data dependenciesData-related uncertainty requires new behavioral and cognitive constructsIntegrated marketing into forecasting to improve data qualityCross-functional collaboration improved data quality and alignment
Marketing dept. reluctant to share data due to fear of misinterpretationOIPT assumes better communication reduces uncertaintyIdentified nervousness as a behavioral antecedent to information withholdingFormalized nervousness construct and analyzed its impactDemonstrated limits of interdepartmental data sharing despite technical tools
Operations dept. misunderstood the reliability of marketing's dataOIPT lacks mechanisms to account for differences in data interpretationDeveloped data perception as capability to assess origin and reliability of dataIntroduced joint interpretation practices and shared understanding mechanismsImproved trust, reduced nervousness, enabled better use of shared forecasts
Suppliers misinterpreted forecasts and feared over-adjusting productionOIPT mainly intra-organizational, less on cross-boundary uncertaintyExtended data perception to supply chain contextOrganized joint seminars and visits to align interpretationSupplier trust rebuilt, improved forecast sharing across boundaries

Note(s): For each observation the mismatch with OIPT is described together with abductive inference and consequent action. For each of this the evidence of the results is provided

or Create an Account

Close Modal
Close Modal