Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations)

Noel León; Roberto Duran; Humberto Aguayo; Myrna Flores

doi:10.1007/978-3-642-03346-9_2

Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations)

Noel León, Roberto Duran, Humberto Aguayo, Myrna Flores

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper extends the current development of a methodology for Computer Aided Innovation. It begins with a presentation of concepts related to the perceived capabilities of virtual environments in the Innovation Cycle. The main premise establishes that it is possible to predict the acceptance of a new product in a specific market, by releasing an early prototype in a virtual scenario to quantify its general reception and to receive early feedback from potential customers. The paper continues to focus this research on a synergistic extension of techniques that have their origins in optimization and innovation disciplines. TRIZ (Theory of Inventive Problem Solving), extends the generation of variants with Evolutionary Algorithms (EA) and finally to present the designer and the intended customer, creative and innovative alternatives. All of this developed on a virtual software interface (Virtual World). The work continues with a general description of the project as a step forward to improve the overall strategy.

Original language	English
Title of host publication	Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings
Editors	Runhua Tan, Guozhong Cao, Noel Leon
Pages	9-16
Number of pages	8
ISBN (Electronic)	9783642033452
DOIs	https://doi.org/10.1007/978-3-642-03346-9_2
Publication status	Published - 1 Jan 2009
Externally published	Yes
Event	IFIP Advances in Information and Communication Technology - Duration: 1 Jan 2009 → …

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	304
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP Advances in Information and Communication Technology
Period	1/1/09 → …

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2009.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

Information Systems and Management
Computer Networks and Communications
Information Systems

Access to Document

10.1007/978-3-642-03346-9_2

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79953727083&origin=inward

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León, N., Duran, R., Aguayo, H., & Flores, M. (2009). Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). In R. Tan, G. Cao, & N. Leon (Eds.), Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings (pp. 9-16). (IFIP Advances in Information and Communication Technology; Vol. 304). https://doi.org/10.1007/978-3-642-03346-9_2

León, Noel ; Duran, Roberto ; Aguayo, Humberto ; Flores, Myrna. / Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings. editor / Runhua Tan ; Guozhong Cao ; Noel Leon. 2009. pp. 9-16 (IFIP Advances in Information and Communication Technology).

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abstract = "This paper extends the current development of a methodology for Computer Aided Innovation. It begins with a presentation of concepts related to the perceived capabilities of virtual environments in the Innovation Cycle. The main premise establishes that it is possible to predict the acceptance of a new product in a specific market, by releasing an early prototype in a virtual scenario to quantify its general reception and to receive early feedback from potential customers. The paper continues to focus this research on a synergistic extension of techniques that have their origins in optimization and innovation disciplines. TRIZ (Theory of Inventive Problem Solving), extends the generation of variants with Evolutionary Algorithms (EA) and finally to present the designer and the intended customer, creative and innovative alternatives. All of this developed on a virtual software interface (Virtual World). The work continues with a general description of the project as a step forward to improve the overall strategy.",

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León, N, Duran, R, Aguayo, H & Flores, M 2009, Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). in R Tan, G Cao & N Leon (eds), Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings. IFIP Advances in Information and Communication Technology, vol. 304, pp. 9-16, IFIP Advances in Information and Communication Technology, 1/1/09. https://doi.org/10.1007/978-3-642-03346-9_2

Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). / León, Noel; Duran, Roberto; Aguayo, Humberto; Flores, Myrna.

Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings. ed. / Runhua Tan; Guozhong Cao; Noel Leon. 2009. p. 9-16 (IFIP Advances in Information and Communication Technology; Vol. 304).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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León N, Duran R, Aguayo H, Flores M. Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations). In Tan R, Cao G, Leon N, editors, Growth and Development of Computer-Aided Innovation - 3rd IFIP WG 5.4 Working Conference, CAI 2009, Proceedings. 2009. p. 9-16. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-642-03346-9_2

Predicting innovation acceptance by simulation in virtual environments (Theoretical foundations)

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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