Consumer Perspectives on Data Privacy and Transparency for Blockchain-Based Systems in the U.S. Biotechnology Industry

Seth Reinhart
Department of Molecular Biology and Genetics and Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA
Rachel Christopher
Department of Molecular Biology and Genetics and Department of Biology, Johns Hopkins University, Baltimore, Maryland, USA

DOI:https://doi.org/10.5912/jcb2139

Abstract:

The present research aimed to analyze the block chain enabled systems through perceived customer privacy and data transparency. The mediation of motivation and perceived usefulness of block chain technology was also analyzed by the researcher. To determine this causal association, the researcher has implemented an “explanatory quantitative research design”. For this purpose, survey strategy was implemented by disbursement of questionnaires. Data was analyzed through Smart-PLS. Various statistical techniques were performed to determine construct validity and model fitness. After yielding significant results, the researcher performed the test of structural equation modelling and assessed the hypothesized association among variables. The results indicated that data transparency significantly influenced block chain enabled systems. Whereas the perceived customer privacy insignificantly influenced the block chain enabled system. The mediation of perceived usefulness of block chain technology between data transparency and block chain enabled systems was significant. The other mediating hypothesis turned out to be insignificant. This study holds numerous theoretical and practical implications. The research extends the literature regarding studied constructs and statistically proves that data transparency is a significant predictor of block chain enabled systems. The research limitations and future research indications have also been addressed by the researcher.