A Study on The Effect of Perceived Value and Innovation Resistance Factors on Adoption Intention of Artificial Intelligence Platform: Focused on Drug Discovery Fields


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 12, pp. 329-342, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.329,   PDF Download:
Keywords: Artificial intelligence, Drug Discovery, Perceived Value, innovation resistance, Value Based Adoption Model
Abstract

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.


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Cite this article
[IEEE Style]
Y. Kim, J. Kim, W. Jeong, Y. Shin, "A Study on The Effect of Perceived Value and Innovation Resistance Factors on Adoption Intention of Artificial Intelligence Platform: Focused on Drug Discovery Fields," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 12, pp. 329-342, 2021. DOI: https://doi.org/10.3745/KTSDE.2021.10.12.329.

[ACM Style]
Yeongdae Kim, Ji-Young Kim, Wonkyung Jeong, and Yongtae Shin. 2021. A Study on The Effect of Perceived Value and Innovation Resistance Factors on Adoption Intention of Artificial Intelligence Platform: Focused on Drug Discovery Fields. KIPS Transactions on Computer and Communication Systems, 10, 12, (2021), 329-342. DOI: https://doi.org/10.3745/KTSDE.2021.10.12.329.