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Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms: – An Innovation Theory Perspective

Loha Hashimy, Jain Geetika and Emili Grifell-Tatje

MPRA Paper from University Library of Munich, Germany

Abstract: urpose: Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms of how the blockchain business model can affect the organization and bring more value. To address the complex structure of businesses that have public goods, it is important to develop sustainable blockchain-based business models. Design/methodology/approach: This study offers the first qualitative research that uses an integrated technological, environmental and organizational (TOE) framework with technology acceptance theory (TAM) to study the adoption of blockchain technology by Spanish firms. Findings: The results of the paper discuss how that competitive pressure, competence, top management support and relative advantage have a positive impact on intention to adopt blockchain technology while complexity affects the intention to adopt the technology negatively. Contrary to many adoption studies, the findings show that intention to adopt negatively impacts adoption and outline the effect of blockchain on business model elements on the macroeconomic level. Originality/value: The key contribution of this study lies in providing a comprehensive understanding of the environmental, technological and organizational factors that impact the intention to adopt blockchain that eventually affects adoption.

Keywords: Blockchain technology; Business model; Decentralized; TAM; TOE (search for similar items in EconPapers)
JEL-codes: M21 (search for similar items in EconPapers)
Date: 2023
New Economics Papers: this item is included in nep-cse, nep-pay and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in Industrial Management & Data Systems 1.123(2023): pp. 204-228

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