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Article

Optimizing the Abandonment of a Technological Innovation

College of Engineering, Texas Tech University, Lubbock, TX 79409, USA
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Author to whom correspondence should be addressed.
Academic Editor: Mitsuru Kodama
Received: 23 February 2021 / Revised: 13 April 2021 / Accepted: 16 April 2021 / Published: 21 April 2021
The primary objective of this study is to reveal macro-level knowledge to aid the optimization, evaluation, and strategic planning of technological innovation abandonment. This research uses an exploratory data analysis (EDA) approach to extract directional and associative patterns (macro-level knowledge) to assess technological innovation abandonment optimization. Deterministic and stochastic simulations are employed to reveal the impact of three factors on abandonment optimization, namely, a technological innovation’s diffusion rate, a technological innovation’s probability of achieving a given diffusion rate, and the point of abandonment. The patterns and insights revealed through the graphical examination of the simulation provide associative and directional knowledge to assess the abandonment optimization of technological innovation. These revealed patterns and insights enable decision-makers to develop an abandonment assessment framework for optimizing, evaluating, and proactively planning abandonment at the macro level. View Full-Text
Keywords: technological innovation; abandonment optimization; diffusion rate; S-curve; technological innovation diffusion; macro-level technological innovation; abandonment optimization; diffusion rate; S-curve; technological innovation diffusion; macro-level
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MDPI and ACS Style

Parvin, A.J., Jr.; Beruvides, M.G. Optimizing the Abandonment of a Technological Innovation. Systems 2021, 9, 27. https://0-doi-org.brum.beds.ac.uk/10.3390/systems9020027

AMA Style

Parvin AJ Jr., Beruvides MG. Optimizing the Abandonment of a Technological Innovation. Systems. 2021; 9(2):27. https://0-doi-org.brum.beds.ac.uk/10.3390/systems9020027

Chicago/Turabian Style

Parvin, Albert J., Jr., and Mario G. Beruvides 2021. "Optimizing the Abandonment of a Technological Innovation" Systems 9, no. 2: 27. https://0-doi-org.brum.beds.ac.uk/10.3390/systems9020027

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