Contaminated　industrial　wastewater　is　one　of　the　severe　causes　of　health　diseases.　The　wastewater　treatment　trend　in　developing　countries　is　less,　and　governments　are　not　strictly　pursuing　the　wastewater　management　protocols　adopted　by　firms.　To　study　the　intention　to　install　wastewater　treatment　plants　at　the　firm　level　and　provide　policy　suggestions　to　the　developing　countries＇　governments,　we　have　collected　a　cross-sectional　dataset　from　manufacturing　firms.　We　have　presented　an　integrated　model　based　on　the　theory　of　planned　behaviour　and　tested　our　proposed　model　by　implying　SEM-ANN　deep　learning　techniques.　Results　revealed　that　Environmental　knowledge,　installation　cost,　firm　reputation,　and　corporate　social　responsibility　positively　influence　firm　management＇s　intention　to　install　wastewater　treatment　plants,　but　awareness　of　the　risk　associated　with　contaminated　wastewater　has　a　negative　influence.　On　the　other　hand,　Government　incentives　do　not　influence　the　process.　In　addition,　our　study　has　found　that　firm　size　moderates　the　relationship　between　explained　and　exploratory　variables.　Our　study　provided　valuable　insight　into　the　available　literature　and　provided　some　policy　suggestions　to　developing　countries＇　governments　to　cope　with　water　scarcity　and　health　issues　caused　by　contaminated　industrial　wastewater.