New Study Reveals Why Organisations are Reluctant to Adopt Blockchain

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey.

Blockchain is a secure digital ledger that records and verifies transactions across many computers in a way that's hard to alter. It's a type of digitally shared notebook where everyone can see what's written, but once something is added, it can't be changed. Initially, there was a lot of hype around Blockchain as it allows for secure and transparent transactions without needing a middleman, like a bank. Blockchain is the backbone of cryptocurrencies like Bitcoin, but it's also being explored for uses in other sectors, such as finance, healthcare, and supply chains.

A comprehensive review, led by PhD candidate Ying Zhang in collaboration with researchers from Surrey Business School and Cardiff Business School, analysed 880 factors influencing blockchain adoption by organisations across various industries.

Dr Mahdi Tavalaei, Senior Lecturer in Strategy and Digital Transformation, the PhD supervisor and co-author of the study at the University of Surrey, said: "Organisations are understandably cautious. While blockchain has been touted as a revolutionary technology, our research suggests that its adoption is hampered by over-promised benefits, under-delivered business value, and the complex interdependence between adoption drivers and barriers."

On the positive side, researchers found that blockchain's unique capabilities, such as enhanced transparency, security, and operational efficiency, act as strong motivators for adoption. However, barriers often overshadow these drivers, which complicate adoption efforts. The analysis found that adoption barriers, such as regulatory uncertainty and scalability issues, are more definitive, while the benefits of adoption are conditional and long-term, creating a mismatch that slows organisational decision-making for adoption.

For organisations, the study suggests that the technological benefits of blockchain are often not sufficient and are linked to factors within and outside their organisations, such as top management beliefs about the technology, collaboration across organisations, and regulatory frameworks. Dr Mahdi Tavalaei added: "Blockchain technology holds great promise, but the narrative needs a reality check. Our research shows that the interplay between drivers and barriers of blockchain adoption across technological, organisational, and environmental dimensions highlights the complex and often conflicting dynamics organisations must navigate. Organisations are not just dragging their feet; they are making informed decisions based on the current limitations and overhyped promises of blockchain. We hope this study will shift the conversation towards more practical and achievable goals for blockchain technology."

Ying Zhang, M. Mahdi Tavalaei, Glenn Parry, Peng Zhou.
Evolution or involution? A systematic literature review of organisations' blockchain adoption factors.
Technological Forecasting and Social Change, 2024. doi: 10.1016/j.techfore.2024.123710

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...