| Abstract |
Recently, we have been witnessing some revolutionary improvements in robotics, artificial intelligence and sensor technologies which have opened the door for a new phase of automation. Digitalization is highly supported by the business world due to its positive effects on productivity through quality improvements, human error reductions and process accelerations. Yet, the extent and pace of automation of work activities and digitalization of work processes in a wide range of industries necessarily depend on technical feasibilities, economic gain/loss relations, and social cost of technology adoptions. At country level, unemployment and social security problems caused by increased digitalization could have significant economic implications as well as social side-effects, national governments therefore should proactively formulate policies in these areas in order to attain a net positive gain from their technology adoption initiatives. However, social policy interventions by governments bring extreme economic costs for national economies. In this concern, all related societal stakeholders should align with the local and national governmental bodies to develop creative and efficient ideas, projects and proposals to provide sustainable solutions for emerging social problems in the digital era. Accordingly, social innovation initiatives have recently come out as an alternative way of jointly producing innovative and sustainable solutions to these new and complex social and economic problems e.g. job extinctions, youth unemployment, re-skilling etc. In this study, we aim to explore possible models for initiating social innovation practices in order to support social policy developments in education, employment and social security areas. (C) 2019 Published by Future Academy www.FutureAcademy.org.uk |