ENHANCING BUSINESS OUTCOMES THROUGH SOCIAL COMPUTING

Within the past decade we have observed a new computing paradigm specified as Social Computing emerge and cause enhanced socio economic outcomes. Social Computing has introduced a myriad of web and mobile based applications. These applications have diminished the time and space restriction in communication and thus enabled synchronous as well as asynchronous communication alike. These new communication patterns have enabled traditional community building practices to modern online communities of scale such as social networking community - Facebook, content sharing community -YouTube, or business communities such as Airbnb or Uber. To better understand this phenomenon we analysed well researched social and business scenarios published in established business magazines such as Economist by applying Design Thinking methodological framework and qualitative inductive content analysis method. This methodological approach helped us traverse through mystery, heuristics leading towards an algorithm: a multistage causal model for enhanced business outcomes and Social Computing. Understanding of this causal inference sheds light in designing successful Social Computing applications to gain enhanced business outcomes by designing the application characteristics to give emergence to the necessary emergent characteristics.