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Cogent Business & Management Volume 4, 2017 - Issue 1

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Research Article

A simulation-based product diffusion forecasting method using geometric Brownian motion and spline interpolation

Najmeh MadadiFaculty of Mechanical Engineering, Department of Manufacturing and Industrial Engineering, Universiti Teknologi Malaysia, Skudai, MalaysiaCorrespondence[email protected]
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Azanizawati Ma’aramFaculty of Mechanical Engineering, Department of Manufacturing and Industrial Engineering, Universiti Teknologi Malaysia, Skudai, MalaysiaView further author information

Kuan Yew WongFaculty of Mechanical Engineering, Department of Manufacturing and Industrial Engineering, Universiti Teknologi Malaysia, Skudai, MalaysiaView further author information

Joseph Amankwah-AmoahUniversity of Kent, UKView further author information

(Reviewing Editor)

Article: 1300992 | Received 30 Oct 2016, Accepted 16 Feb 2017, Published online: 28 Mar 2017

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https://doi.org/10.1080/23311975.2017.1300992
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Citations (3)

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Articles from other publishers (3)

Nikolaos Kanellos, Dimitrios Katsianis & Dimitrios Varoutas. (2021) On the Introduction of Diffusion Uncertainty in Telecommunications’ Market Forecasting. On the Introduction of Diffusion Uncertainty in Telecommunications’ Market Forecasting.

Shakshi Singhal, Adarsh Anand & Ompal Singh. (2020) Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment. Technological Forecasting and Social Change 161, pages 120285.
Crossref

Nikolaos Kanellos & Dimitrios Varoutas. (2017) Methodology for the introduction of var estimation in telecommunications' diffusion forecasting. Methodology for the introduction of var estimation in telecommunications' diffusion forecasting.

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