A theoretical model of user acceptance of blockchain-based peer-to-peer accommodation

Figures & data

Figure 1. Predictors of blockchain-based peer-to-peer accommodation acceptance.

Figure 2. A theoretical model of user acceptance of blockchain-based peer-to-peer accommodation.

Table 1. Blockchain-based sharing economy constructs.

Construct	Example of indicator (I believe that in the blockchain-based peer-to-peer accommodation system …)
Diminishing transaction fees	… transaction costs will be cheaper.
Instant settlement	… transaction settlement will be instant.
Income distribution	… economic benefits will be distributed more broadly.
Fraud prevention	… it will be impossible to hack the system.
Immutability	… no one can change historical data.
Transparency	… transaction data will be publicly available.
Traceability	… data can be traced.
Automation	… contract enforcement could be automated.
Self-sovereignty	… users will have more control over their personal data.
Consensus mechanism	… the consensus mechanism will ensure fairness.

Table

Stage	Question
Introductory questions	What do you know about Airbnb? o Its benefits? o Its drawbacks? Is there anything about the existing system that you would change? o Why? o Why not?
Follow-up questions	Have you heard about blockchain? How well do you understand blockchain? Could peer-to-peer accommodation benefit from blockchain technology? o How? Who should develop and manage such a system? o Why? Will system ownership affect your opinion? o Why?
Final questions	What makes a blockchain-based peer-to-peer accommodation system appealing? What reasons will prevent you from becoming a user of such a system? What do you consider are the most significant barriers to its implementation?
End question	Do you have any additional concerns/opinions?

Table

Comparison	Activities	Aims	Questions	Results
1. Comparison within a single focus group	Open coding; finding context.	Develop categories and general understanding.	What is the message? What is the context? How are different messages related?	Provisional code; notes about context.
2. Comparison between focus groups	Axial coding; finding patterns; finding consensus on main themes.	Conceptualisation; produce a provisional typology.	What are the similarities and differences between groups? What patterns exist? Are there contradictions?	Description of the concept; adjustment of some of the codes; provisional relationship between categories.
3. Comprehensive comparison of all focus groups	Theoretical coding; finding consensus on final themes; consulting with literature.	Produce the key predictors; complete the typology; refine the articulation.	Why do participants see things similarly or differently? What themes reach saturation? What nuances or new information can be obtained? What combination of concepts occur?	Final themes; relationship between categories; refined articulation of the themes.