Knowledge Erosion and Knowledge Protection in the Age of Increasing Data Flow

Sychov, Sergey; Mikushev, V. M.; Курашова, С А; Motorin, Denis; Seravin, Alexander; Radikov, Ivan

doi:10.1109/infoman.2019.8714655

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The implications of blockchain for knowledge sharing emerge as wide and open: themes such as the progression in the use of blockchain technology, the relationship between blockchain and performance, blockchain and process management and the organisational determinants require further investigation. The use of blockchain could also enhance the process of learning (Mayer et al , 1994; Tobias, 1994) and prevent unintended consequences (Sychov et al , 2019). Blockchain technology is novel and still in its infancy in SMEs, as users are not yet familiar with it (Morabito, 2017).…”

Section: Implications To Theory and Practicementioning

confidence: 99%

Knowledge, diffusion and interest in blockchain technology in SMEs

Bracci

Tallaki

Ievoli

et al. 2021

JKM

View full text Add to dashboard Cite

Purpose The paper aims to understand the possible determinants of knowledge of, and interest in using, blockchain, with a particular focus in the future intention to apply this technology. Blockchain technology is deemed to radically change business models and processes. Using this technology in small and medium enterprises (SMEs) is still a novel idea. Moreover, not much is known about the diffusion and level of interest towards blockchain in SMEs. This research adopts a knowledge management perspective, drawing on technology acceptance model to highlight the level of blockchain technology diffusion, and to explore which factors lead SMEs’ to adopt blockchain. Design/methodology/approach This study distributed a questionnaire to a sample of 300 SMEs in Italy. This study received 96 responses (32% response rate). This study calculated descriptive statistics and undertook a reliability analysis. Finally, this study performed a logistic regression to analyse the determinants of further intention to use blockchain technology. Findings Results show that blockchain technology is quite well known, but the level of knowledge is limited. Moreover, the research reveals that the rate of adoption is very low. Interest in the future adoption of blockchain is associated with knowledge, perception of usefulness and ease of use of blockchain. Originality/value This paper is one of the first explorative studies showing which factors lead SMEs to adopt blockchain technologies and shedding some light on the interaction between knowledge management and blockchain adoption and diffusion in SMEs. It highlights how blockchain knowledge could determine future interest in blockchain innovation. This paper is relevant for public and private institutions that aim to promote, through knowledge management, the adoption of blockchain in SMEs.

show abstract