The relationship between a technology’s diffusion rate (time) and its economical impact (money)

Albert J. Parvin; Mario G. Beruvides

The relationship between a technology’s diffusion rate (time) and its economical impact (money)

Albert J. Parvin, Mario G. Beruvides

Industrial Engineering

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

4 Scopus citations

Abstract

Understanding the economical impact of a technology’s diffusion rate can assist decision makers in making informed decisions on how resources (labor, equipment/materials, time, and capital) are managed. The goal of this research is to demonstrate a link between a technology’s diffusion rate and its value (economic impact) to warrant further examination of its impact on abandonment. An overview of the technology diffusion curve is presented, and three diffusion rates (categorized as fast, medium, and slow) are modeled to demonstrate the impact on a technology’s value along a technology’s diffusion curve. Results show a link between diffusion rate and market value for a technology’s diffusion curves.

Original language	English
Title of host publication	39th International Annual Conference of the American Society for Engineering Management, ASEM 2018
Subtitle of host publication	Bridging the Gap Between Engineering and Business
Publisher	American Society for Engineering Management
Pages	875-882
Number of pages	8
ISBN (Electronic)	9781510874640
State	Published - 2018
Event	39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018 - Coeur d�Alene, United States Duration: Oct 17 2018 → Oct 20 2018

Publication series

Name	39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business

Conference

Conference	39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018
Country/Territory	United States
City	Coeur d�Alene
Period	10/17/18 → 10/20/18

Keywords

S-curve
Technology
Technology diffusion

Cite this

Parvin, A. J., & Beruvides, M. G. (2018). The relationship between a technology’s diffusion rate (time) and its economical impact (money). In 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business (pp. 875-882). (39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business). American Society for Engineering Management.

Parvin, Albert J. ; Beruvides, Mario G. / The relationship between a technology’s diffusion rate (time) and its economical impact (money). 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business. American Society for Engineering Management, 2018. pp. 875-882 (39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business).

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abstract = "Understanding the economical impact of a technology{\textquoteright}s diffusion rate can assist decision makers in making informed decisions on how resources (labor, equipment/materials, time, and capital) are managed. The goal of this research is to demonstrate a link between a technology{\textquoteright}s diffusion rate and its value (economic impact) to warrant further examination of its impact on abandonment. An overview of the technology diffusion curve is presented, and three diffusion rates (categorized as fast, medium, and slow) are modeled to demonstrate the impact on a technology{\textquoteright}s value along a technology{\textquoteright}s diffusion curve. Results show a link between diffusion rate and market value for a technology{\textquoteright}s diffusion curves.",

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author = "Parvin, {Albert J.} and Beruvides, {Mario G.}",

note = "Publisher Copyright: {\textcopyright} Copyright{\textcopyright} (2018) by American Society for Engineering Management (ASEM). All rights reserved.; 39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018 ; Conference date: 17-10-2018 Through 20-10-2018",

year = "2018",

language = "English",

series = "39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business",

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Parvin, AJ & Beruvides, MG 2018, The relationship between a technology’s diffusion rate (time) and its economical impact (money). in 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business. 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business, American Society for Engineering Management, pp. 875-882, 39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018, Coeur d�Alene, United States, 10/17/18.

The relationship between a technology’s diffusion rate (time) and its economical impact (money). / Parvin, Albert J.; Beruvides, Mario G.
39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business. American Society for Engineering Management, 2018. p. 875-882 (39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business).

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

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AU - Beruvides, Mario G.

PY - 2018

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N2 - Understanding the economical impact of a technology’s diffusion rate can assist decision makers in making informed decisions on how resources (labor, equipment/materials, time, and capital) are managed. The goal of this research is to demonstrate a link between a technology’s diffusion rate and its value (economic impact) to warrant further examination of its impact on abandonment. An overview of the technology diffusion curve is presented, and three diffusion rates (categorized as fast, medium, and slow) are modeled to demonstrate the impact on a technology’s value along a technology’s diffusion curve. Results show a link between diffusion rate and market value for a technology’s diffusion curves.

AB - Understanding the economical impact of a technology’s diffusion rate can assist decision makers in making informed decisions on how resources (labor, equipment/materials, time, and capital) are managed. The goal of this research is to demonstrate a link between a technology’s diffusion rate and its value (economic impact) to warrant further examination of its impact on abandonment. An overview of the technology diffusion curve is presented, and three diffusion rates (categorized as fast, medium, and slow) are modeled to demonstrate the impact on a technology’s value along a technology’s diffusion curve. Results show a link between diffusion rate and market value for a technology’s diffusion curves.

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Parvin AJ, Beruvides MG. The relationship between a technology’s diffusion rate (time) and its economical impact (money). In 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business. American Society for Engineering Management. 2018. p. 875-882. (39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business).

The relationship between a technology’s diffusion rate (time) and its economical impact (money)

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Publication series

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Keywords

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