This studyempiricallyexaminestheimpactsofthreemajoraspectsofdemandforecastingonthe
magnitude ofthebullwhipeffect.Threeresearchquestionsareaddressedtoinvestigatetheassociation
between (1)forecastaccuracy,(2)aggregateforecasting,and(3)responsiveforecastingandthebullwhip
effect. Usingforecasteddemandgeneratedfrompopulartime-seriesforecastingmodelsandreal-life
demand data,thestudyinvestigatestherelationshipbetweentheforecastedresultsandthecon-
sequentialbullwhipeffect.The findings showthattheforecastingmethodsusedleadtothevariationof
the bullwhipeffect.Moreover,theleadtimereductionandthestabledemandforecastarebeneficial to
reduce thebullwhipeffect.However,ourempiricalresultsdifferfromprevious findings intwoways:
(i) improvingforecastaccuracydoesnotnecessarilyreducethebullwhipeffectand(ii)aggregatefore-
casting doesnotalwaysreducethebullwhipeffect.