TY - GEN

T1 - Business Models for Emerging Technologies

T2 - 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

AU - Ignatyeva, Olga

AU - Sokolov, Dmitry

AU - Lukashenko, Olga

AU - Shalakitskaia, Aleksandra

AU - Denef, Sebastian

AU - Samsonowa, Tatjana

N1 - Ignatyeva, O. Business Models for Emerging Technologies : The Case of Affective Computing / O. Ignatyeva, D. Sokolov, O. Lukashenko, A. Shalakitskaia, S. Denef, T. Samsonowa // 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019. - Institute of Electrical and Electronics Engineers Inc., 2019. - 350-355. Publisher Copyright: © 2019 IEEE.

PY - 2019/9

Y1 - 2019/9

N2 - This paper explores the key features of disruptive business models in the affective computing industry, where particular business benefit and technological value are yet to be discovered. We designed the business model canvas for emotion recognition (ER) solutions based on analysis of 80 companies from secondary sources, as well as six case studies that we conducted ourselves. Based on these insights, our research highlights the elements in each block of the business model canvas that are typical for emerging technologies, namely not fully understood value proposition, B2B customer segment, free demos and trials in customer relationship, SaaS and technology licensing in revenue streams, investors and academia as key partners and RD as key activity. We designed the canvas as a tool useful for anybody creating or analyzing ventures in emerging tech industries and, in particular, ER solutions. Our study contributes to the existing literature on disruptive business models for technological innovations by consolidating existing practices of ER sector and emphasizing on important patterns for emerging tech industries in general.

AB - This paper explores the key features of disruptive business models in the affective computing industry, where particular business benefit and technological value are yet to be discovered. We designed the business model canvas for emotion recognition (ER) solutions based on analysis of 80 companies from secondary sources, as well as six case studies that we conducted ourselves. Based on these insights, our research highlights the elements in each block of the business model canvas that are typical for emerging technologies, namely not fully understood value proposition, B2B customer segment, free demos and trials in customer relationship, SaaS and technology licensing in revenue streams, investors and academia as key partners and RD as key activity. We designed the canvas as a tool useful for anybody creating or analyzing ventures in emerging tech industries and, in particular, ER solutions. Our study contributes to the existing literature on disruptive business models for technological innovations by consolidating existing practices of ER sector and emphasizing on important patterns for emerging tech industries in general.

KW - Affective Computing

KW - Artificial Intelligence

KW - Disruptive Business Models

KW - Emerging Technologies

KW - Innovation

KW - SCOPUS

UR - http://www.scopus.com/inward/record.url?scp=85077821293&partnerID=8YFLogxK

U2 - 10.1109/ACIIW.2019.8925206

DO - 10.1109/ACIIW.2019.8925206

M3 - Conference contribution

AN - SCOPUS:85077821293

T3 - 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

SP - 350

EP - 355

BT - 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 3 September 2019 through 6 September 2019

ER -