Impact tech startups: A conceptual framework, machine-learning-based methodology and future research directions

Webinar on 2^nd International Congress on AI and Machine Learning

February 15, 2022 | Webinar

Benjamin Gidron

Ben Gurion University of the Negev, Israel

ScientificTracks Abstracts: RRJET

Abstract

The Impact Tech Startup (ITS) is a new, rapidly developing type of organizational category.Based on an entrepreneurial approach and technological foundations, itss adopt innovative strategies to tackle a variety of social and environmental challenges within a for-profit framework and are usually backed by private investment. This new organizational category is thus far not discussed in the academic literature. The paper first provides a conceptual framework for studying this organizational category, as a combination of aspects of social enterprises and startup businesses. It then proposes a machine learning (ML)-based algorithm to identify itss within startup databases. The UN��?s Sustainable Development Goals (sdgs) are used as a referential framework for characterizing It��?s, with indicators relating to those 17 goals that qualify a startup for inclusion in the impact category. The paper concludes by discussing future research directions in studying it��?s as a distinct Organizational category through the usage of the ML methodology.

Biography

Benjamin Gidron is the founder and director of the Israeli Center for third sector Research (ICTR) at Ben Gurion University of the Negev in Beer-Sheva, Israel. He has been researching issues pertaining to the Third Sector and related topics for the past 25 years.He is a Professor at the Guilford Glazer School of Business & Management at BGU, where he founded and directs the Nonprofit Organizations Management program . He came to the School of Management after serving for some 20 years at the BGU Spitzer Department of Social Work, where he served as the chair (1985-90). He holds the David and Dorothy Schwartzman Chair for Community Development.

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