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Reduction of Market and Technology Uncertainty during the Front End of New Product Development

Research output: Book/ReportDoctoral thesisMonograph

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Reduction of Market and Technology Uncertainty during the Front End of New Product Development. / Tossavainen, Antero Johannes.

Tampere University, 2020. 200 p. (Tampere University Dissertations; Vol. 243).

Research output: Book/ReportDoctoral thesisMonograph

Harvard

Tossavainen, AJ 2020, Reduction of Market and Technology Uncertainty during the Front End of New Product Development. Tampere University Dissertations, vol. 243, vol. 243, Tampere University.

APA

Tossavainen, A. J. (2020). Reduction of Market and Technology Uncertainty during the Front End of New Product Development. (Tampere University Dissertations; Vol. 243). Tampere University.

Vancouver

Tossavainen AJ. Reduction of Market and Technology Uncertainty during the Front End of New Product Development. Tampere University, 2020. 200 p. (Tampere University Dissertations).

Author

Tossavainen, Antero Johannes. / Reduction of Market and Technology Uncertainty during the Front End of New Product Development. Tampere University, 2020. 200 p. (Tampere University Dissertations).

Bibtex - Download

@book{87382009cd524b88920b38ffb68771ce,
title = "Reduction of Market and Technology Uncertainty during the Front End of New Product Development",
abstract = "The management of the fuzzy front-end (FFE) phase of innovation is pivotal to the underlying success of new product development (NPD) initiatives. A crucial challenge that research and development (R&D) teams face at this early, and often chaotic, FFE phase is dealing with market and technology uncertainty related to product and technology innovation under development. A remarkable cause of new product defects and serious delays is a failure to adequately define the product concept, target market, positioning, and requirements before beginning product development. Successful NPD teams are capable of performing uncertainty reduction during the FFE phase, and the more the innovation team reduces uncertainty with regard to user needs and technology, the higher the possibilities of producing a commercially successful product. This study employs the technology acceptance model 3 (TAM3) as the voice of the customer (VoC) to a robotics FFE project, with the aim of understanding the extent to which TAM3 can be applied beyond its typical information technology (IT) product development (PD) phase setting to reduce market- and technology-based uncertainty during the FFE phase. The market is divided into early and late adopters of technology based on the diffusion of innovations theory. Further, the applicability of TAM3 is evaluated for both market segments. The multimethod research setup is implemented in two phases. In Phase 1, a quantitative study is conducted in which 121 test users evaluated a technology prototype and participated in a survey based on TAM3 theoretical constructs. Survey data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. In Phase 2, the technology acceptance data collected from the early and late market segments was tested by a robotics R&D team to evaluate the capability of TAM3 to reduce market and technology uncertainty in the FFE phase. The findings suggest that there are significant differences in how the TAM3 performs in the robotics FFE phase compared to earlier findings mostly done in an IT PD setting. A few of the inner and outer constructs of TAM3 perform fundamentally differently in FFE. This research also reveals differences between the early and late market segments based on the TAM3 model. In addition, the results offer insight into how the TAM3-based VoC can reduce market and technology uncertainty during the important and challenging FFE phase.",
author = "Tossavainen, {Antero Johannes}",
year = "2020",
month = "5",
day = "8",
language = "English",
isbn = "978-952-03-1536-8",
volume = "243",
series = "Tampere University Dissertations",
publisher = "Tampere University",

}

RIS (suitable for import to EndNote) - Download

TY - BOOK

T1 - Reduction of Market and Technology Uncertainty during the Front End of New Product Development

AU - Tossavainen, Antero Johannes

PY - 2020/5/8

Y1 - 2020/5/8

N2 - The management of the fuzzy front-end (FFE) phase of innovation is pivotal to the underlying success of new product development (NPD) initiatives. A crucial challenge that research and development (R&D) teams face at this early, and often chaotic, FFE phase is dealing with market and technology uncertainty related to product and technology innovation under development. A remarkable cause of new product defects and serious delays is a failure to adequately define the product concept, target market, positioning, and requirements before beginning product development. Successful NPD teams are capable of performing uncertainty reduction during the FFE phase, and the more the innovation team reduces uncertainty with regard to user needs and technology, the higher the possibilities of producing a commercially successful product. This study employs the technology acceptance model 3 (TAM3) as the voice of the customer (VoC) to a robotics FFE project, with the aim of understanding the extent to which TAM3 can be applied beyond its typical information technology (IT) product development (PD) phase setting to reduce market- and technology-based uncertainty during the FFE phase. The market is divided into early and late adopters of technology based on the diffusion of innovations theory. Further, the applicability of TAM3 is evaluated for both market segments. The multimethod research setup is implemented in two phases. In Phase 1, a quantitative study is conducted in which 121 test users evaluated a technology prototype and participated in a survey based on TAM3 theoretical constructs. Survey data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. In Phase 2, the technology acceptance data collected from the early and late market segments was tested by a robotics R&D team to evaluate the capability of TAM3 to reduce market and technology uncertainty in the FFE phase. The findings suggest that there are significant differences in how the TAM3 performs in the robotics FFE phase compared to earlier findings mostly done in an IT PD setting. A few of the inner and outer constructs of TAM3 perform fundamentally differently in FFE. This research also reveals differences between the early and late market segments based on the TAM3 model. In addition, the results offer insight into how the TAM3-based VoC can reduce market and technology uncertainty during the important and challenging FFE phase.

AB - The management of the fuzzy front-end (FFE) phase of innovation is pivotal to the underlying success of new product development (NPD) initiatives. A crucial challenge that research and development (R&D) teams face at this early, and often chaotic, FFE phase is dealing with market and technology uncertainty related to product and technology innovation under development. A remarkable cause of new product defects and serious delays is a failure to adequately define the product concept, target market, positioning, and requirements before beginning product development. Successful NPD teams are capable of performing uncertainty reduction during the FFE phase, and the more the innovation team reduces uncertainty with regard to user needs and technology, the higher the possibilities of producing a commercially successful product. This study employs the technology acceptance model 3 (TAM3) as the voice of the customer (VoC) to a robotics FFE project, with the aim of understanding the extent to which TAM3 can be applied beyond its typical information technology (IT) product development (PD) phase setting to reduce market- and technology-based uncertainty during the FFE phase. The market is divided into early and late adopters of technology based on the diffusion of innovations theory. Further, the applicability of TAM3 is evaluated for both market segments. The multimethod research setup is implemented in two phases. In Phase 1, a quantitative study is conducted in which 121 test users evaluated a technology prototype and participated in a survey based on TAM3 theoretical constructs. Survey data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. In Phase 2, the technology acceptance data collected from the early and late market segments was tested by a robotics R&D team to evaluate the capability of TAM3 to reduce market and technology uncertainty in the FFE phase. The findings suggest that there are significant differences in how the TAM3 performs in the robotics FFE phase compared to earlier findings mostly done in an IT PD setting. A few of the inner and outer constructs of TAM3 perform fundamentally differently in FFE. This research also reveals differences between the early and late market segments based on the TAM3 model. In addition, the results offer insight into how the TAM3-based VoC can reduce market and technology uncertainty during the important and challenging FFE phase.

M3 - Doctoral thesis

SN - 978-952-03-1536-8

VL - 243

T3 - Tampere University Dissertations

BT - Reduction of Market and Technology Uncertainty during the Front End of New Product Development

PB - Tampere University

ER -