Exploring blockchain-based innovations for economic and sustainable development in the global south: A mixed-method approach based on web mining and topic modeling

Böhmecke‐Schwafert, Moritz; Moreno, Eduardo García

doi:10.1016/j.techfore.2023.122446

Cited by 18 publications

(3 citation statements)

References 68 publications

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“…In the context of BEBIM in construction management, adopting blockchain technology has positive and negative perceptions. While some stakeholders see blockchain technology as a revolutionary tool for the construction industry, others caution regarding security and scalability issues (Böhmecke-Schwafert and García Moreno, 2023). Nevertheless, studies have pointed out that limited collaboration and communication among stakeholders, legal constraints and challenges in establishing trust and governance models are among the most significant barriers to the adoption of blockchain technology in construction management.…”

Section: Discussionmentioning

confidence: 99%

Analyzing the barriers for blockchain-enabled BIM adoption in facility management using best-worst method approach

Singh,

Kumar

2023

BEPAM

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PurposeBlockchain is a developing technology that affects numerous industries, including facility management (FM). Many barriers are associated with adopting blockchain-enabled building information modeling (BEBIM) in FM. This research aims to identify and prioritize the barriers to adopting BEBIM in FM.Design/methodology/approachTo address the knowledge gap, this study employs a two-phase methodology for evaluating the barriers to adopting BEBIM in FM. The first phase involves a comprehensive literature review identifying 14 barriers to BEBIM adoption. Using a Delphi approach, the identified barriers were categorized into 6 groups and finalized by 11 experts, adding 3 more barriers to the list. The best-worst method (BWM) determines the priority weights of identified barriers and sub-barriers in the second phase.FindingsThis study reveals that adopting BEBIM for FM in India faces significant hurdles. The most critical barriers are “limited collaboration” and “communication among stakeholders,” “legal constraints in certain jurisdictions” and “challenges in establishing trust and governance models.” To mitigate these barriers, stakeholders should foster collaboration and communication, develop efficient blockchain technology (BT) and establish a trust and governance model.Practical implicationsThis work underscores the importance of formulating effective strategies to overcome the identified barriers and emphasizes implications that can assist policymakers and industry stakeholders in achieving successful BEBIM adoption for improved FM practice.Originality/valueThe study provides valuable insights for policymakers, construction industry stakeholders and facility managers interested in leveraging this technology to improve the efficiency and effectiveness of FM practice in India.

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Section: Discussionmentioning

confidence: 99%

Analyzing the barriers for blockchain-enabled BIM adoption in facility management using best-worst method approach

Singh,

Kumar

2023

BEPAM

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“…Mixed methods helps to answer a broader range of research questions that would otherwise be missed if a single method is adopted. In the extant literature, there are several studies on blockchain and cryptocurrency which have adopted mixed methods (Böhmecke-Schwafert & García Moreno, 2023;Dehghani et al, 2022;Loh et al, 2023;Werner et al, 2021). Dehghani et al (2022) suggested that future research in blockchain should adopt mixed methods since it allows for a more complete and detailed understanding of the phenomenon being studied, and supports both theory building and testing.…”

Section: Methodsmentioning

confidence: 99%

Fostering trust and overcoming psychological resistance towards cryptocurrencies and cryptoassets

Babu,

Bason,

Porreca

et al. 2023

Psychology and Marketing

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This research investigates the extent to which sponsorships can be utilised to foster trust and reduce barriers to adopting new technologies. Using Crypto.com's sponsorship of the 2022 FIFA World Cup as the context, this mixed‐methods study utilises innovation resistance theory (IRT) and trust transfer theory (TTT) to investigate the extent to which such a sponsorship can increase trust and reduce barriers in innovative technologies such as cryptoassets, while also filling a research gap concerning consumer resistance to innovations in digital financial products and services. The findings of study 1, using a survey (n = 1081), and study 2 using interviews (n = 24) reveal that a positive image of sponsorship significantly influences favourability and interest, and trust of the product of the sponsor which subsequently reduces psychological barriers to adoption. Integrating the theoretical viewpoints of IRT and TTT, this study enhances our conceptual understanding regarding the psychological dimension of sponsorship and the extent to which a sponsorship generates interest, giving assurance and trust in the sponsor's product, and removing uncertainty; thus, reducing barriers to adoption.

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“…Security, privacy, money laundering and payments to the dark market are issues that have to be further investigated and tackled [9][10][11][12]. Aiming to find out the status quo of blockchain entrepreneurial innovations and research and how can these innovations contribute to the economic and sustainable development of society, these authors approached a combined method using web mining and extracting topics from unstructured data on the blockchain from Crunchbase, similar websites and research publications [13]. The analysis indicated that blockchain innovations have gone beyond the financial sector, addressing critical infrastructures such as the supply chain and energy delivery.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models

Bâra,

Oprea

2024

JTAER

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Since 2012, researchers have explored various factors influencing Bitcoin prices. Up until the end of July 2023, more than 9100 research papers on cryptocurrencies were published and indexed in the Web of Science Clarivate platform. The objective of this paper is to analyze the impact of publications on Bitcoin prices. This study aims to uncover significant themes within these research articles, focusing on cryptocurrencies in general and Bitcoin specifically. The research employs latent Dirichlet allocation to identify key topics from the unstructured abstracts. To determine the optimal number of topics, perplexity and topic coherence metrics are calculated. Additionally, the abstracts are processed using BERT-transformers and Word2Vec and their potential to predict Bitcoin prices is assessed. Based on the results, while the research helps in understanding cryptocurrencies, the potential of academic publications to influence Bitcoin prices is not significant, demonstrating a weak connection. In other words, the movements of Bitcoin prices are not influenced by the scientific writing in this specific field. The primary topics emerging from the analysis are the blockchain, market dynamics, transactions, pricing trends, network security, and the mining process. These findings suggest that future research should pay closer attention to issues like the energy demands and environmental impacts of mining, anti-money laundering measures, and behavioral aspects related to cryptocurrencies.

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Exploring blockchain-based innovations for economic and sustainable development in the global south: A mixed-method approach based on web mining and topic modeling

Cited by 18 publications

References 68 publications

Analyzing the barriers for blockchain-enabled BIM adoption in facility management using best-worst method approach

Analyzing the barriers for blockchain-enabled BIM adoption in facility management using best-worst method approach

Fostering trust and overcoming psychological resistance towards cryptocurrencies and cryptoassets

The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models

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