Leveraging Green IoT and Blockchain Technology in the Era of Transformative Digitalization

Polas, Mohammad Rashed Hasan; Saha, Ratul Kumar; Ahamed, Bulbul

doi:10.4018/978-1-7998-9035-5.ch008

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…Understanding risk-taking behavior impacts difficult information technology decisions critical for successful deployments [125]. Their findings show the need to consider risk-taking behavior while attempting to halt the growing trend of costly technology installation failures [126]. The social system learns about the invention's presence and characteristics and qualities, which leads to risk-taking behavior [127].…”

Section: Risk-taking Behaviormentioning

confidence: 99%

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

Polas¹,

Jahanshahi

Kabir

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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This study investigates the variables affecting the adoption of blockchain technology (BT) among small and medium-sized enterprises (SMEs) with the application of artificial intelligence (AI) via the mediating lens of risk-taking behavior. As an initial sample, 150 owners/top managers from 150 SMEs (one informant from each) in Dhaka, Bangladesh, were chosen. A stratified random sample was employed for this cross-sectional study. Applying structural equation modeling, the combined influence of internal and external variables influencing the intention to adopt BT is explored. Results show that: (1) knowledge of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (2) the relevant advantage of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (3) perceived ease of use of artificial intelligence has a positive and significant effect on the adoption of blockchain technology; (4) risk-taking behavior mediates the relationship between knowledge of artificial intelligence and adoption of blockchain technology; (5) risk-taking behavior does not mediate the relationship between relevant advantage and perceived ease of use of artificial intelligence with the adoption of blockchain technology. The current study is one of the few empirical investigations relating to SMEs using artificial intelligence and blockchain technologies for business operations. The study’s limitations are the small sample size and use of a single informant. However, the findings on the adoption of blockchain technology have applications for boosting the competitiveness of SMEs. This study’s originality stems from two factors: the novelty of blockchain technology and its potential to upend SMEs’ conventional mode of operation. It highlights the need to consider the key variables affecting SMEs’ adoption of blockchain technology with artificial intelligence.

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Section: Risk-taking Behaviormentioning

confidence: 99%

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

Polas¹,

Jahanshahi

Kabir

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

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“…However, this adoption process only sometimes runs smoothly, and several challenges arise along with implementation. In this digital era, where competition is increasingly fierce and technological change is occurring rapidly, a deep understanding of the factors influencing the adoption of blockchain technology can provide strategic advantages for companies [3]. Despite its positive potential, businesses' adoption of blockchain technology has yet to reach its peak.…”

Section: Introductionmentioning

confidence: 99%

The Adoption of Blockchain Technology the Business Using Structural Equation Modelling

Aini,

Manongga,

Sediyono

et al. 2024

Indonesian J. Comput. Cybern. Syst.

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There are many aspects of readiness that must be considered when implementing technological breakthroughs, the business sector is still relatively slow in adopting blockchain technology. However, considering that blockchain technology is still in its early stages of development and has many potential applications, it is necessary to conduct empirical studies on the factors influencing its application in the industry. The problem of this study is to develop an appropriate framework based on how well its features match the needs of the business sector. This research method uses data collection using online questionnaires to obtain information from 86 respondents. The current study also utilizes the Smart PLS 4 model to produce a structural hypothetical model. The results of this study find a significant influence on Revolutionary Innovation by enriching the literature on the relationship between Blockchain, Big Data and the Business Sector, which is expanded by adding new variables. The novelty of this research identifies potential utilization, analyzes internal and external factors, and identifies how blockchain disrupts the business sector. The purpose of this study is to assess how blockchain technology is currently used in the business sector for data provision as a theoretical information technology innovation

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RETRACTED ARTICLE: Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future

Bradu

Biswas

Nair

et al. 2022

Environ Sci Pollut Res

136

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This review gives concise information on green technology (GT) and Industrial Revolution 4.0 (IR 4.0). Climate change has begun showing its impacts on the environment, and the change is real. The devastating COVID-19 pandemic has negatively affected lives and the world from the deadly consequences at a social, economic, and environmental level. In order to balance this crisis, there is a need to transition toward green, sustainable forms of living and practices. We need green innovative technologies (GTI) and Internet of Things (IoT) technologies to develop green, durable, biodegradable, and eco-friendly products for a sustainable future. GTI encompasses all innovations that contribute to developing significant products, services, or processes that lower environmental harm, impact, and worsening while augmenting natural resource utilization. Sensors are typically used in IoT environmental monitoring applications to aid ecological safety by nursing air or water quality, atmospheric or soil conditions, and even monitoring species’ movements and habitats. The industries and the governments are working together, have come up with solutions—the Green New Deal, carbon pricing, use of bio-based products as biopesticides, in biopharmaceuticals, green building materials, bio-based membrane filters for removing pollutants, bioenergy, biofuels and are essential for the green recovery of world economies. Environmental biotechnology, Green Chemical Engineering, more bio-based materials to separate pollutants, and product engineering of advanced materials and environmental economies are discussed here to pave the way toward the Sustainable Development Goals (SDGs) set by the UN and achieve the much-needed IR 4.0 for a greener-balanced environment and a sustainable future. Graphical abstract

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Leveraging Green IoT and Blockchain Technology in the Era of Transformative Digitalization

Cited by 3 publications

References 56 publications

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

The Adoption of Blockchain Technology the Business Using Structural Equation Modelling

RETRACTED ARTICLE: Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future

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