Analysis of Challenges for Blockchain Adoption in Enterprise Distributed Applications

Decentralization, auditability, smart execution, and security are four ways that blockchain technology (BCT) differs from current cutting-edge technologies based on client-server architecture. Without the need of any middlemen, blockchain technology builds trust between untrustworthy parties. By employing its distinctive properties, blockchain technology is presently used to address the problems of enterprise distributed applications (EDAs) to some extent. As a result, businesses involved in a wide range of industries have shown interest in it. Despite being praised as tool for businesses to create secure applications, BCT is still not widely used. The objective of the current study is to use an extension of the technology acceptance model (TAM2), constituted by 15 hypotheses (H1–H15), to address the factors that influence professionals' desire to adopt the BCT in the EDAs. In order to achieve the research objective, the study consists of a quantitative non-experimental correlational method with the goal of creating an empirical model to evaluate the relationship between perceived usefulness, perceived ease of use, scalability, effort, performance, adaptability, maintainability, experience, and blockchain adoption in India with a focus on EDAs. Descriptive analysis, discriminant analysis, multiple linear regression, ANOVA, homoscedasticity, multicollinearity, reliability, linearity, survey question's normality, and independent errors are conducted to analyze survey data from a sample of 396 IT professionals from various firms in India. The findings show that IT professionals' desire to employ the BCT in EDAs are positively impacted by all the hypothesis except H3 and H8 that has no impact on IT professionals' desire to employ BCT

Exploring Factors Influencing Adoption of Blockchain in Accounting Applications using Technology–Organization–Environment Framework

Blockchain is one of the most promising technological innovations of recent times, with the potential to change the very way information systems are used by the accounting function. It is however expected to be disruptive and yet to see high adoption rates. Identification of factors influencing the adoption is required to empower the accounting fraternity to harness the full potential of blockchains. This study is one of the first to inductively explore and develop an adoption model for blockchains as well as for accounting applications with theoretical groundings in the Technology-Organization-Environment (TOE) framework, which has been extended with a variable for trust. Triangulation of methods and data sources used in this study contributed to the depth of research and understanding. A comprehensive literature review was first conducted. Its results were further enhanced using the encoding methodology, based on which influencing factors were identified and a model for adoption was developed. A qualitative exploratory study was undertaken next on twelve organizations at the cusp of adoption for accounting applications. Eight significant factors influencing the adoption thus identified are: relative advantage, uncertainty, top management support, technology readiness, industry, regulatory environment, competitive pressure and trust. The study contributes to revealing the relevance of blockchain to accounting while highlighting potential disruptions to enable better evaluation of the technology for adoption. The results may have limited generalizability, which may be overcome through a quantitative study in the future

Adoption of blockchain technology : exploring the factors affecting organizational decision

Blockchain (BCT) is an emerging technology that promises many benefits for organizations, for instance, disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organizations has not reached a significantly high level worldwide, thus requiring further research in this space. The present study addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant literature, affect the organizational adoption of BCT in Australia. To fill this gap, the study uses the qualitative interpretative research approach along with the technology-organization-environment (TOE) framework as a theoretical lens. The data was mainly drawn from the literature review and semi-structured interviews of the decision-makers and senior IT people from the BCT adopter and potential adopter organizations in Australia. According to the findings, perceived information transparency, perceived risks, organization innovativeness, organization learning capability, standards uncertainty, and competition intensity influence organizational adoption of BCT in Australia. These factors are exclusively identified in this study. The study also validates the influence of perceived benefits and perceived compatibility on BCT adoption that are reported in the past studies. Practically, these findings are helpful for the Australian government and public and private organizations to develop better policies and make informed decisions for the organizational adoption of BCT. The findings would guide decision-makers to think about the adoption of BCT strategically. The study also has theoretical implications explained in the discussion section. © 2022 Saleem Malik et al

Exploring Factors and Impact of Blockchain Technology Adoption in the Food Supply Chains

Globalization has also increased the complexity and difficulty of addressing these issues and enhancing efficiency in FSCs. The adoption of blockchain technology (BCT) has been proven to have the potential to transform the FSC based on its potential benefits. BCT promises to improve FSC processes. However, little is known about the factors that drive blockchain adoption within the FSC and the impact of BCT supply chain processes, as empirical evidence is scarce within the existing literature. This study, therefore, explores key factors, impacts, and challenges of blockchain adoption in the FSC

Factors affecting the organisational adoption of blockchain technology in australia : a mixed-methods approach

Blockchain (BCT) is an emerging technology that promises many benefits for organisations, such as disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organisations has not reached a significantly high level worldwide. The present thesis addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant scholarly and commercial literature, affect Australian organisations while deciding to adopt BCT. To fill this gap, this thesis uses a mixed-methods approach known as sequential exploratory mixed methods. In this approach, the research starts with a qualitative phase as an initial phase followed by a quantitative phase. During the qualitative phase, data were collected through semi-structured interviews of the BCT experts and decision-makers working with the ifferent Australian organisations that adopted or were in the process of adopting BCT. The Technology, Organisation, Environment (TOE) framework, based on the qualitative interpretative approach, was used as a theoretical lens during the qualitative phase. The qualitative data were analyzed using the thematic analysis technique with the SQR NVivo software. The analysis shows that the different factors, belonging to the technological, organisational, and environmental contexts, affect the organisational decision to adopt BCT in Australia. The technological factors include perceived benefits, perceived computability, perceived complexity, perceived disintermediation, and perceived information transparency; organisational factors are organisational innovativeness, organisational learning capability, top management support; environmental factors consist of government support, standards uncertainty, competition intensity, and trading partners readiness. The qualitative analysis also shows the direct and moderating effect of the perceived risks between the relationship of the identified factors and organisational adoption of BCT. Based on the findings of the qualitative phase, the thesis develops a theoretical conceptual model, which shows the relationship between the factors and the organisational adoption of BCT. To increase the external validity of the developed conceptual model, the thesis started a quantitative phase with the administration of an online survey for data collection. Certain criteria were set to screen out the irrelevant participants in the survey. During this phase, hypotheses were proposed for the relationship of the factors identified in the qualitative phase and the organisational adoption of BCT. The survey data was analyzed using the PLS Structural Equation Modelling (SEM) technique with the SmartPLS 3 software. The quantitative analysis confirms the findings of the qualitative phase that the perceived benefits, perceived compatibility, perceived information transparency, perceived disintermediation, organisational innovativeness, organisational learning capability, top management support, competitive intensity, government support, and trading partner readiness have a positive effect on the organisational adoption of BCT. Whereas the perceived complexity, standards uncertainty, and perceived risks have a negative effect. The analysis also shows that the moderating effects of perceived risks are significant in the relationship of perceived compatibility, perceived information transparency, perceived disintermediation, organisational innovativeness, organisation innovativeness, competition intensity, and organisational adoption of BCT. Contrary to the qualitative findings, ‘perceived risks’ has no moderating effects on the relationship of perceived benefits, organisational learning capability, top management support, government support, trading partner readiness, and the adoption of BCT. The thesis has both theoretical and practical contributions, which are useful both for theory development and decision-making for the adoption of BCT in Australia. Theoretically, this thesis contributes to the existing IT adoption literature in several ways. Firstly, the thesis provides empirical evidence about the factors affecting organisational adoption of BCT in Australia. This is the first in-depth sequential exploratory mixed methods research that bridges this knowledge gap in the extant literature. The identification of such factors is important, particularly for the Australian government and organisations interested in the value creation of BCT. Second, the thesis reports the effect of new factors, namely, perceived information transparency, perceived disintermediation, organisational innovativeness, organisational learning capability, standards uncertainty, trading partner readiness, and competition intensity on BCT adoption that are exclusively identified in this research. Third, this thesis confirms the findings of the past studies that the factors of perceived benefits and perceived compatibility, perceived complexity, and top management support have an effect on the organisational adoption of BCT. Fourth, according to the best of the authors' knowledge, this is the first research that has used the qualitative interpretive research approach to investigate the organisational adoption of BCT. Therefore, the thesis confirms the suitability of the qualitative interpretive research approach for BCT adoption. Lastly, most of the researchers have used the TOE framework in either in qualitative or quantitative research. This thesis proves its validity in mixed methods research as well. The thesis's practical contributions are discussed in chapter 7.Doctor of Philosoph

Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms : an Innovation Theory Perspective

Purpose: Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms of how the blockchain business model can affect the organization and bring more value. To address the complex structure of businesses that have public goods, it is important to develop sustainable blockchain-based business models. Design/methodology/approach: This study offers the first qualitative research that uses an integrated technological, environmental and organizational (TOE) framework with technology acceptance theory (TAM) to study the adoption of blockchain technology by Spanish firms. Findings: The results of the paper discuss how that competitive pressure, competence, top management support and relative advantage have a positive impact on intention to adopt blockchain technology while complexity affects the intention to adopt the technology negatively. Contrary to many adoption studies, the findings show that intention to adopt negatively impacts adoption and outline the effect of blockchain on business model elements on the macroeconomic level. Originality/value: The key contribution of this study lies in providing a comprehensive understanding of the environmental, technological and organizational factors that impact the intention to adopt blockchain that eventually affects adoption

Environmental enforcement technology adoption: Marine environment in the Kingdom of Bahrain

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonResearch Background: Entities responsible for environmental enforcement around the world are facing increasing pressure to deal with the alarming rate of environmental degradation and crime, despite the limited resources available to them. They are continuously searching for technological advancements to enhance their effectiveness and efficiency. This research aims to explore and develop effective technology adoption insights for environmental compliance and enforcement in the Kingdom of Bahrain. Research Gap: Existing technology adoption studies in law enforcement were mainly conducted on criminal law enforcement. Studies conducted on technology adoption of users involved in environmental enforcement were very scarce, especially from the perspective of environmental enforcers. Environmental enforcement was found to be a unique field of law enforcement with unique challenges and characteristics. This gap in the literature gives interest to acquire further knowledge and understanding of the technology use and adoption of users involved in environmental enforcement. Methodology: This study has adapted a qualitative approach with multiple case studies triangulated with onsite observations, documents, and interviews with relevant stakeholders to explore the use and adoption of technology in environmental compliance and enforcement in the Kingdom of Bahrain. Findings: Numerous significant findings were made during the research. The research found that technology use in the field of environmental enforcement in the marine environment in Bahrain has a significant impact on the effectiveness and efficiency of these systems, mainly through providing increased accuracy, speed, cost reduction and transparency. The technologies vary from basic technologies such as GPS to complex integrated systems, the type of technology utilized is mainly driven by the role and task of the organization or individual. The research also finds many aspects of theories from previous studies on technology adoption in the field of law enforcement to be applicable to this research’s field, mainly the M-TAM which is based on the TAM model. The research found that technology adoption in environmental enforcement in the Kingdom is mandatory in nature, in which intent to use the technology has no influence since the user does not have the choice not to use the technology provided. Rather the extent to which the technology is used is influenced mainly by attitude, perceived usefulness, degree of necessity of the use of the technology, and various external factors (management style, cognitive acceptance, and stakeholder environment). Furthermore, the research identified additional unique factors affecting technology adoption in environmental enforcement, mainly the stakeholder’s environment. The study's findings led to the development of a modified model of technology adoption for environmental enforcement. The model illustrates the complex interaction between many factors influencing users' adoption and usage of technology in the field of environmental enforcement in the Kingdom of Bahrain. Implications: The model illustrates the factors that influence technology adoption by users involved in environmental enforcement in the Kingdom of Bahrain. The main contribution of the research and the model is the ability to predict and explain technology adoption of users in the unique field of environmental enforcement. This knowledge is critical for the Kingdom, which has made significant investments in technological solutions across a variety of sectors, including environmental enforcement. Understanding and taking into account the factors influencing technology adoption will increase the likelihood of effective technology being adopted successfully in the Kingdom of Bahrain, resulting in more efficient usage, increased productivity, and ultimately improved performance toward the achievement of goals and targets.Ministry of Interior of the Kingdom of Bahrai

Factors Affecting Intention to use Cryptocurrencies with Special Reference to the University Students in Sri Lanka

Innovation in financial economics and other technological development has increased the demand for digital currencies. Crypto currency refers to tokens or digital currency based on cryptographic technology used to perform a range of financial transactions such as payments or store of value on the block chain technology. The main objective of this study is to apply the Extended Technology Acceptance Model to predict behavioral intention to use crypto currency. The number of users in crypto currencies across countries is continuing to grow. However, the number of users in crypto currencies in Sri Lanka is limited. Therefore, this study analyzed what are the factors that influence on intention to use crypto currencies in Sri Lanka. A survey instrument was used to collect quantitative data for predicting the use of crypto currency from the 125 postgraduate students of MSc/diploma in information technology in the University of Moratuwa. A Stratified sampling method was used to distribute questionnaires. Regression and correlation analysis through SPSS software was conducted to achieve the research objective. The findings indicate that Perceived Usefulness, Perceived Ease of Use, Perceived Trust and Awareness positively impact the Intention to Use Crypto currency. Overall, the results of the study showed that the model has a good model fit and can be used to explain the theory. There are limited researches done for Sri Lankan context for crypto currencies by applying Technology Acceptance Model into Fintech. In Addition to that this study useful for understanding human behavior related to the Fintech in emerging markets. Keywords: Block chain Crypto currency, Fintech, Technology Acceptance Mode

Blockchain for and in Logistics: What to Adopt and Where to Start

Despite the claim that blockchain will revolutionise business and redefine logistics, existing research so far is limited concerning frameworks that categorise blockchain application potentials and their implications. In particular, academic literature in transport and logistics to date has not sufficiently distinguished between blockchain adoption ('what to adopt') and the identification of the right business opportunity ('where to start'). In response, this paper (1) uses Rogers¿ (2003) 'attributes of innovation framework' to identify potential blockchain applications and (2) presents a framework explicating four transformation phases to subsequently categorise the identified areas of application according to their effects on organisational structures and processes. Using academic and practitioner literature, we classify possible applications for adoption and provide a framework to identify blockchain opportunities in the logistics industry, thereby helping managers to systematically assess where to start building organisational capabilities in order to successfully adopt and deploy blockchain-based technology