Technology　pull　and　market　push　are　two　key　factors　driving　the　emerging　industry　to　success.　Although　there　are　some　precious　studies　focusing　on　the　interaction　effects　of　technology　and　market　on　firm　performance,　most　of　which　are　conceptual,　the　empirical　researches　are　few　and　almost　linear.　So　the　nonlinear　empirical　results　are　lack,　especially　in　emerging　industry.　The　objective　of　this　study　is　to　explore　the　nonlinear　effects　of　technology　and　market　on　firm　performance　in　the　emerging　biotechnology　industry　by　using　BP　neural　network.　Based　on　a　sample　of　43　global　top　sales　biotechnology　firms,　the　results　show　that　the　interaction　effects　of　technology　and　market　actually　affect　firm　performance　in　a　nonlinear　way,　which　is　in　the　form　of　a　U　shape,　i.e.,　the　interaction　effect　is　detrimental　to　firm　performance　until　a　threshold　level　is　reached　and　then　the　effect　becomes　contributory　thereafter.　The　paper　concludes　with　a　discussion　of　theoretical　and　practical　implications　of　the　finding.　©　2013　PICMET.