Next Article in Journal
Assessing the Formal and Informal Waste Recycling Business Processes through a Stakeholders Lens in Pakistan
Previous Article in Journal
Synthesis, Characterization and Application of Carbon Nanotubes Decorated with Zinc Oxide Nanoparticles for Removal of Benzene, Toluene and p-Xylene from Aqueous Solution
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

by
Wasapon Thanabodypath
1,
Achara Chandrachai
2,
Sudkate Chaiyo
3 and
Orawon Chailapakul
4,*
1
Technopreneurship and Innovation Management Program, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
2
Chulalongkorn Business School, Chulalongkorn University, Bangkok 10330, Thailand
3
Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand
4
Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(21), 11718; https://doi.org/10.3390/su132111718
Submission received: 8 September 2021 / Revised: 14 October 2021 / Accepted: 20 October 2021 / Published: 23 October 2021

Abstract

Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.
Keywords: innovation adoption model; portable electrochemical analytical devices; predicting technology adoption; industrial consumer behavior; industrial contaminants innovation adoption model; portable electrochemical analytical devices; predicting technology adoption; industrial consumer behavior; industrial contaminants

Share and Cite

MDPI and ACS Style

Thanabodypath, W.; Chandrachai, A.; Chaiyo, S.; Chailapakul, O. Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection. Sustainability 2021, 13, 11718. https://doi.org/10.3390/su132111718

AMA Style

Thanabodypath W, Chandrachai A, Chaiyo S, Chailapakul O. Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection. Sustainability. 2021; 13(21):11718. https://doi.org/10.3390/su132111718

Chicago/Turabian Style

Thanabodypath, Wasapon, Achara Chandrachai, Sudkate Chaiyo, and Orawon Chailapakul. 2021. "Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection" Sustainability 13, no. 21: 11718. https://doi.org/10.3390/su132111718

APA Style

Thanabodypath, W., Chandrachai, A., Chaiyo, S., & Chailapakul, O. (2021). Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection. Sustainability, 13(21), 11718. https://doi.org/10.3390/su132111718

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop