Standard

Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers. / Игнатьева, Ольга ; Sokolov, D.N.; Лукашенко, Ольга ; Shalakitskaya, Alexandra; Denef , Sebastian; Samsonowa, Tatjana; Paspkhova, S.T.

Annual GSOM emerging markets conference 2019: Conference book. SPb. : Издательство Санкт-Петербургского университета, 2019. стр. 63-66.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференции

Harvard

Игнатьева, О, Sokolov, DN, Лукашенко, О, Shalakitskaya, A, Denef , S, Samsonowa, T & Paspkhova, ST 2019, Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers. в Annual GSOM emerging markets conference 2019: Conference book. Издательство Санкт-Петербургского университета, SPb., стр. 63-66, 6th international GSOM Emerging Markets Conference-2019, Санкт-Петербург, Российская Федерация, 3/10/19.

APA

Игнатьева, О., Sokolov, D. N., Лукашенко, О., Shalakitskaya, A., Denef , S., Samsonowa, T., & Paspkhova, S. T. (2019). Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers. в Annual GSOM emerging markets conference 2019: Conference book (стр. 63-66). Издательство Санкт-Петербургского университета.

Vancouver

Игнатьева О, Sokolov DN, Лукашенко О, Shalakitskaya A, Denef S, Samsonowa T и пр. Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers. в Annual GSOM emerging markets conference 2019: Conference book. SPb.: Издательство Санкт-Петербургского университета. 2019. стр. 63-66

Author

Игнатьева, Ольга ; Sokolov, D.N. ; Лукашенко, Ольга ; Shalakitskaya, Alexandra ; Denef , Sebastian ; Samsonowa, Tatjana ; Paspkhova, S.T. / Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers. Annual GSOM emerging markets conference 2019: Conference book. SPb. : Издательство Санкт-Петербургского университета, 2019. стр. 63-66

BibTeX

@inproceedings{cf47e8c8a2b74b72ba59c447c7cc83d5,
title = "Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers",
keywords = "INNOVATION, EMERGING TECHNOLOGIES, DISRUPTIVE BUSINESS MODELS, ARTIFICIAL INTELLIGENCE, AFFECTIVE COMPUTING, РИНЦ",
author = "Ольга Игнатьева and D.N. Sokolov and Ольга Лукашенко and Alexandra Shalakitskaya and Sebastian Denef and Tatjana Samsonowa and S.T. Paspkhova",
note = "Ignatyeva, O. Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers / O. Ignatyeva, D. N. Sokolov, O. Lukashenko, A. Shalakitskaya, S. Denef, T. Samsonowa, S.T. Paspkhova // Annual GSOM emerging markets conference 2019. Conference book. - 2019. - P. 63-66.; 6th international GSOM Emerging Markets Conference-2019, GSOM EMC 2019 ; Conference date: 03-10-2019 Through 05-10-2019",
year = "2019",
language = "English",
pages = "63--66",
booktitle = "Annual GSOM emerging markets conference 2019",
publisher = "Издательство Санкт-Петербургского университета",
address = "Russian Federation",

}

RIS

TY - GEN

T1 - Exploring business model for emerging technologies: a multiple case study of emotion recognition technology developers

AU - Игнатьева, Ольга

AU - Sokolov, D.N.

AU - Лукашенко, Ольга

AU - Shalakitskaya, Alexandra

AU - Denef , Sebastian

AU - Samsonowa, Tatjana

AU - Paspkhova, S.T.

N1 - Conference code: 5

PY - 2019

Y1 - 2019

KW - INNOVATION

KW - EMERGING TECHNOLOGIES

KW - DISRUPTIVE BUSINESS MODELS

KW - ARTIFICIAL INTELLIGENCE

KW - AFFECTIVE COMPUTING

KW - РИНЦ

UR - https://www.elibrary.ru/item.asp?id=41610200

M3 - Conference contribution

SP - 63

EP - 66

BT - Annual GSOM emerging markets conference 2019

PB - Издательство Санкт-Петербургского университета

CY - SPb.

T2 - 6th international GSOM Emerging Markets Conference-2019

Y2 - 3 October 2019 through 5 October 2019

ER -

ID: 52595800