Mr. Arash Hajikhani (D.Sc. Industrial Engineering and Mgmt.) is a research scientist and data scientist in the field of innovation management. He has been working and publishing on various aspects on Social Network Service (SNSs) platforms for evaluation and measurement of its socio-economic effects. He proposed advanced methods for operationalizing SNSs data and a perspective for deep content analysis to comprehend brand presence. He has a practical knowledge and 7 years working experience in utilizing data analytics methods such as text analytics and machine learning for transforming big data into valuable insight for which benefit the decision making processes. In his previous research, a systematic methodological framework has been adopted to transform SNS's data into units of analysis that enables innovation-oriented activities evaluation and benchmarking in various levels (firms, economies, societies). Hajikhani has been a visiting scholar at the School of Business and Management, Stanford University, USA (12/2016 -07/2017). He conducted a study on transforming unstructured data in SNSs into a validated indicator for measuring firms marketing innovation published in International Journal of Innovation and Technology Management (2016) and World Scientific Book Chapters (2017). His attempts on systematic processing of data sets such as SNSs, publication and patent data has been published in venues such as Association for Computing Machinery 2015, Hawaii International Conference on System Sciences 2017, Academy of Management Conference 2018, Palgrave Macmillan Publications 2018 and Journal of Business Research 2020.