A system dynamics decision support tool for bioproduct industry stakeholders who want to investigate how their decisions can impact the process of bioproducts gaining U.S. market share.
If advertising effectiveness is too high (more than ca. 0.0005, but depends on the value of advertising spending), advertising impact spikes when advertising spending kicks in and then rebounds to a negative value, which can drive NonAdopters negative. In this scenario Potential Adopters and Adopters do not go negative.
Replacing NonAdopters in advertising impact and word of mouth impact with MAX(0, NonAdopters) only keeps NonAdopters negative after the spike.
advertising impact and word of mouth impact should have maxima set based on the current value of NonAdopters
Resolve by adding a MIN() structure to word of mouth impact and advertising impact, such that these parameters will return the minimum of their calculated value or NonAdopters / TIME STEP. The resulting behavior is that if either impact becomes too high, it maxes out to drain NonAdopters in the next time step and NonAdopters goes to zero instead of going negative.
If
advertising effectivenessis too high (more than ca. 0.0005, but depends on the value ofadvertising spending),advertising impactspikes whenadvertising spendingkicks in and then rebounds to a negative value, which can driveNonAdoptersnegative. In this scenarioPotential AdoptersandAdoptersdo not go negative.Replacing
NonAdoptersinadvertising impactandword of mouth impactwith MAX(0,NonAdopters) only keepsNonAdoptersnegative after the spike.advertising impactandword of mouth impactshould have maxima set based on the current value ofNonAdoptersResolve by adding a MIN() structure to
word of mouth impactandadvertising impact, such that these parameters will return the minimum of their calculated value orNonAdopters/TIME STEP. The resulting behavior is that if either impact becomes too high, it maxes out to drainNonAdoptersin the next time step andNonAdoptersgoes to zero instead of going negative.