The promise of social signal processing for research on decision-making in entrepreneurial contexts

• DOI: 10.1007/s11187-019-00205-1
• Publication Date: 2019-06-17T12:02:52Z
• Authors: Werner Liebregts; Pourya Darnihamedani; Eric Postma; Martin Atzmueller
• Keywords: Scrutiny; Empirical Research; Conceptual framework; Value (mathematics)

In this conceptual paper, we demonstrate how modern data science techniques can advance our understanding of important decisions in the context entrepreneurship that involve social interactions. We know individuals’ decision-making is strongly affected by nonverbal behavior. The emerging domain signal processing aims at accurate computerized analysis such Behavioral cues stemming from, for example, gestures, posture, facial expressions, and vocal expressions now be detected analyzed state-of-the-art technologies utilizing artificial intelligence. This paper discusses illustrates their potential value future research on entrepreneurs as well others yet directly affecting them (e.g., investors). brief, more efficient than conventional methods may reveal characteristics so far have been omitted explaining are vital firm survival growth. derive a total five propositions from newly developed framework, which hope will subject to extensive empirical scrutiny research.