Factors Influencing the Adoption Intention of Blockchain and Internet-of-Things Technologies for Sustainable Blood Bank Management

Abstract

Owing chiefly to the lack of suitable technology solutions, India is experiencing both shortage and wastage of blood units. In addressing such a challenge, we explore the unique role of Blockchain and Internet-of-things technologies in the overall blood supply chain management as an appropriate technology solution. Our study employs an integrated Task-Technology Fit and Technology Acceptance Model to empirically test and identify key factors influencing the adoption intention of the Blockchain and Internet-of-things enabled system. With the need to preserve donor and recipient data integrity and data privacy, the respective state and national health departments strictly regulate blood banks. Accordingly, our study also explores the role of government in supporting and overseeing security concerns in the future adoption of the Blockchain and Internet-of-things technologies. Finally, a solution based on the Blockchain and Internet-of-things technologies to ensure the sufficient availability of blood units at the national level is envisioned.

Adoption Factors and Moderating Effects of Age and Gender That Influence the Intention to Use a Non-Directive Reflective Coaching Chatbot

“…Moreover, users interacting with chatbots often report high failure rates and levels of scepticism, suggesting that more research is needed on how to design and introduce chatbots to users (Araujo, 2018). This observation is in line with the notion that chatbot research is currently inclined toward technical aspects with only a few studies focussing on the social dimensions, such as technology adoption (Kuberkar & Singhal, 2020). Furthermore, there is very little research on chatbots’ acceptability and motivation for use in the helping professions in general (Nadarzynski et al, 2019).…”

“…Davis et al (1989) found that people are more likely to use an application if they perceive it as easy to use. In previous studies, a positive relationship between effort expectancy and behavioral intent was found in web-based learning (Chiu & Wang, 2008), mobile banking (Shan & Lu, 2009), health information technology (Kijsanayotin et al, 2009), and as well as with service-oriented chatbots (Kuberkar & Singhal, 2020).…”

“…They identified “relative advantages” and “IS infrastructure” as the most significant adoption factors with practitioners and potential customers indicating that they prefer human support in addition to a chatbot when complex insurance decisions are made. Kuberkar and Singhal (2020) used a modified UTAUT to assess the factors that influence the intention to use an AI powered chatbot for public transport services within a Smart City ( n = 463 ). Using structural equation modeling (SEM) they found that performance expectancy, effort expectancy, social influence, facilitating conditions, anthropomorphism, and trust directly affect the intention of using the chatbot.…”

“…Performance expectancy is the degree to which an individual believes that using the system will help him or her to attain gains in performance (Venkatesh et al, 2003, p. 447). Performance expectancy has been shown to positively affect technology adoption in contexts, such as social media (Borrero et al, 2014); digital voice assistants (Wagner et al, 2019), mobile services (Shan & Lu, 2009), mobile banking (Yu, 2012), and also with service-oriented chatbots (Kasilingam, 2020; Kim et al, 2019; Kuberkar & Singhal, 2020; Melián-González et al, 2021).…”

Impact of AI on Leveraging Knowledge for Engineers

“…Boosting the efficiency and productivity in the engineering field with the implication of automation considering AI technology is the most common way to leverage artificial intelligence. AI powered chat bots are another way to gather artificial knowledge regarding communication skills development [16]. Understanding the insights of project operations using artificial intelligence has helped to make decisions in the favour of the project in the engineering field.…”