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The authors propose a blockchain platform for managing clinical trial data to enhance data validity, integrity, trust and transparency in the pharmaceutical research process. The authors also provide an extensive review of how blockchain technology supports the business processes of clinical trials.

A systematic literature review was conducted to identify the existing applications of blockchain in pharmaceutical process management. A conceptual design for a blockchain infrastructure to address clinical trial challenges is developed by outlining the entire clinical trial value chain and identifying the coordination and communication among its stakeholders. A stakeholder analysis is conducted to ensure that the clinical trial processes satisfy the requirements and preferences of each stakeholder.

The proposed blockchain platform offers a promising solution for enhancing integrity, trust and transparency in the clinical trial process. Additionally, blockchain can help streamline communication and collaboration between stakeholders by enabling multiple parties to access and share data in real time, lowering the possibility of delays or errors in data analysis and reporting.

The proposed blockchain platform can benefit patients by empowering them to have better-controlled access to their data and by allowing researchers to maintain adherence to reporting requirements. Additionally, the platform can benefit granting agencies, researchers and decision-makers by ensuring the integrity of clinical trial data and streamlining communication and collaboration between stakeholders.

This study builds on existing blockchain applications in pharmaceutical process management by developing a blockchain framework that can address clinical trial concerns from an integrated perspective.

The purpose of this research is to analyze consumers’ post-purchase reviews of the Owlet Smart Sock (OSS) and investigate the factors influencing continued use and product recommendation.

The unified theory of acceptance and use of technology 2 and the privacy calculus model were used to focus both on technology and privacy aspects of OSS – a wearable technology product for baby monitoring. A sample of 450 online consumer review data was collected from Owletcare.com and Amazon.com. The data analysis was done by using NVivo 11.

Findings show that effort expectancy, price value and performance expectancy played the most striking role during adoption, continued future use and recommendation to others, whereas perceived privacy risk had the least importance.

Consumer empowerment through online reviews plays a crucial role in conveying their specific needs and desires to both manufacturers and other prospective consumers. The research is also expected to contribute research and development of technology-integrated products.

The research findings will provide valuable insights for manufacturers and retailers to understand consumers’ actual preferences and acceptance during the use of wearable technology.

This study extends research work on consumer use behavior by evaluating online reviews that provide them the opportunity to express their satisfaction and concerns. Insights from experience consumers’ reviews facilitate designers, developers and manufacturers to have a strategic focus during wearable technology development.