Operational Transparency in the Blockchain Era: Examining the Impact of Different Types and Levels on User Engagement

Public blockchains with smart contract functionality have revolutionized IT operations by enabling fully algorithmic processes and providing high transparency through real-time and detailed information disclosure. Yet, the impact of this IT operational model on user engagement remains largely unexplored. Leveraging the context of stablecoin platforms, particularly in light of the Terra-LUNA crisis, we construct a large-scale individual-level panel dataset from April 12 to June 1, 2022, and apply a cross-platform difference-in-differences approach. We find that, during crises, users can effectively distinguish between algorithmic and institutional IT operations, as well as their respective types of operational transparency. We also find that the presence of attackers switches user preferences for operational transparency. Higher levels of transparency, characterized by frequent and detailed information disclosures, may be perceived as catalysts for attacks in the post-crisis period, significantly impacting user engagement.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-15
Primary Topic
Plant chemical constituents analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Operational Transparency in the Blockchain Era: Examining the Impact of Different Types and Levels on User Engagement

Journal of the Association for Information Systems
Plant chemical constituents analysis
article

Operational Transparency in the Blockchain Era: Examining the Impact of Different Types and Levels on User Engagement

article en

Abstract

Public blockchains with smart contract functionality have revolutionized IT operations by enabling fully algorithmic processes and providing high transparency through real-time and detailed information disclosure. Yet, the impact of this IT operational model on user engagement remains largely unexplored. Leveraging the context of stablecoin platforms, particularly in light of the Terra-LUNA crisis, we construct a large-scale individual-level panel dataset from April 12 to June 1, 2022, and apply a cross-platform difference-in-differences approach. We find that, during crises, users can effectively distinguish between algorithmic and institutional IT operations, as well as their respective types of operational transparency. We also find that the presence of attackers switches user preferences for operational transparency. Higher levels of transparency, characterized by frequent and detailed information disclosures, may be perceived as catalysts for attacks in the post-crisis period, significantly impacting user engagement.

Journal of the Association for Information Systems
Openalex Percentile: Top 29%
Plant chemical constituents analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Operational Transparency in the Blockchain Era: Examining the Impact of Different Types and Levels on User Engagement · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS