Investigating the role of data-driven innovation and information quality on the adoption of blockchain technology on crowdfunding platforms

Abstract

The purpose of this study is to investigate the role of data-driven innovation and information quality on the adoption of blockchain technology on crowdfunding platforms through adopting a mono method quantitativae approach. Micro-level theoretical perspectives have been less explored in studies of successful crowdfunding innovation than macro-level theoretical perspectives. Furthermore, crowdfunding platforms' performance varies because of issues like trust, information asymmetry, and transparency of funds flow, among others. There is a solution to these issues in the form of Blockchain Technology (BCT). While BCT has been adopted and used by other businesses, its adoption and usefulness for crowdfunding platforms have not been studied. We investigate crowdfunding platform success using the "tasktechnology fit theory" and "resource-based view theory". Authors collected primary level data from task owners of crowdfunding platforms to test the hypotheses. The proposed theoretical model is tested with a sample size of 314 business units, and the proposed hypotheses are tested using Warp PLS 7.0. We also control for the type of crowdfunding activities for our study. The study will help in understanding and improving the success of crowdfunding tasks on crowdfunding platforms. Additionally, it will contribute to TTF and RBV theory as well.

Integrating blockchain capabilities in an omnichannel healthcare system: A dual theoretical perspective

“…The findings show a T A B L E 5 Model fit and quality indices. and IQ, extending the literature that tests the relationship between perceived credibility, BCT, and trust (Behl et al, 2023;H5). Though, some disagreements were observed in the moderating relationships of PC between IQ and ST (H6; Miller, 2005;Sui & Zhang, 2021).…”

“…Further, the perceptions of information are known to have an influence on information quality (Choi & Stvilia, 2015). Functional benefits like transparency, traceability, security, anonymity, and efficiency lead to perceived credibility and are directly related to BCT adoption (Behl et al, 2023). Therefore, in the context of OHC, we expect BCT capability to have a larger effect on IQ for people with higher levels of perceived credibility in comparison to those who have lower levels of perceived credibility (see Figure 1).…”