Readiness factor identification Bandung city MSMEs use blockchain technology

Abstract

MSMEs in Indonesia are expected to be able to face competition in the era of industrial revolution 4.0. However, there are many problems and obstacles in competitiveness, especially facing global competition, including access to capital, access to information and technology, access to organization and management, and access to business networks and partnerships. Besides, it is often difficult for them to get additional capital through banks or other lenders to increase their business scale. Moreover, a lack of financial and digital literacy causes the low validity of MSMEs' data to lenders. The adoption of blockchain technology is one of the considerations to minimize these MSMEs problems. Meanwhile, this technology is still relatively new to be applied to MSMEs but positively impacts the future. This study aims to measure and analyze MSMEs' readiness in using blockchain technology on a business scale with the TRAM model. This model integrates the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM) models. This study aims to test several variables, including TRI, perceive ease of use, perceive ease of usefulness, attitude toward, and intense use of blockchain technology. Data processing uses the partial least square path modelling (PLS-PM) method. The results showed that TRI was significant on perceived ease of usefulness and perceived ease of usefulness. Then, perceive ease of use is significant towards perceive ease of usefulness and intention to use. Besides, perceive ease of usefulness is significant for attitude. The attitude toward variable is significant for the intention to use in the acceptance of blockchain technology.

The Readiness of The United Arab Emirates (UAE) Investors to Use Blockchain Technology in Stock Market

“…In previous contexts, the relationship between effort expectancy and behavioural intention has been a source of contention. Some scholars noting that effort expectancy is a substantial predictor of investors behavioural intention to utilize blockchain technology in several fields that means individuals who believed that using blockchain technology would be easy were more likely to adopt and use the technology (Davis, 1989;Kim et al, 2010;Fang et al, 2012;Wut et al, 2021;Alharbi, 2019;Wahyuni et al, 2021). While others noted that effort expectancy is not related to investors behavioural intention to adopt technology (Shrestha & Vassileva, 2021).…”

Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers' Attitudes Towards Driverless Cars and Intention to Use in the Future

“…Later, the questions in the scale were developed, their numbers increased and detailed and the TRI2 scale was published in 2015 [29]. TRI basically consists of four main factors: optimism, innovativeness, discomfort, and insecurity [30,31]. It has been researched and found in many studies that these factors affect individuals' attitudes towards technology and their readiness to adopt new technologies.…”

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

“…There are several reasons firms desire to adopt BT [94,95]. In the context of this study, the choice to use BT is straightforward, based on the crucial role of AI [96]. TAM is one of the most extensively used models for examining how technology is utilized and spread, as well as predicting how people will react to BT acceptance or rejection [97,98].…”