Supply Chain Finance (SCF) faces the complex problem of implementing inventory, purchase order and accounts receivable financing automation in terms of transaction data trust and validation. This paper aims to explore how blockchain technology adoption solves the SCF problem using a multi-case method based on the Technological Acceptance Model (TAM). With purposive sampling, 30 cases were selected on the criteria of perceived usefulness and perceived ease of use in solving SCF problems. The results show that trust, validity and distributed ledger transaction data as perceived usefulness are the main drivers of blockchain adoption because it provides solutions to SCF automation problems such as Know Your Customer (KYC), accounting, and transaction settlement. Smart contracts offer easy and fast transactions such as in L/C export processing as perceived ease to use. Of the 30 blockchain projects, 21 offer the usefulness of automated accounts receivable financing, 15 offer easy-to-use purchase order financing and 8 offer easy-to-use inventory financing processes. This study provides the current state of blockchain technology adoption by exploring 30 real application cases in SCF globally. Blockchain advantages provide automation solutions in global supply SCF practices with smart contracts, transparency and security of distributed ledger data feature.
MSMEs in Indonesia are expected to be able to face competition in the era of industrial revolution 4.0. However, there are many problems and obstacles in competitiveness, especially facing global competition, including access to capital, access to information and technology, access to organization and management, and access to business networks and partnerships. Besides, it is often difficult for them to get additional capital through banks or other lenders to increase their business scale. Moreover, a lack of financial and digital literacy causes the low validity of MSMEs' data to lenders. The adoption of blockchain technology is one of the considerations to minimize these MSMEs problems. Meanwhile, this technology is still relatively new to be applied to MSMEs but positively impacts the future. This study aims to measure and analyze MSMEs' readiness in using blockchain technology on a business scale with the TRAM model. This model integrates the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM) models. This study aims to test several variables, including TRI, perceive ease of use, perceive ease of usefulness, attitude toward, and intense use of blockchain technology. Data processing uses the partial least square path modelling (PLS-PM) method. The results showed that TRI was significant on perceived ease of usefulness and perceived ease of usefulness. Then, perceive ease of use is significant towards perceive ease of usefulness and intention to use. Besides, perceive ease of usefulness is significant for attitude. The attitude toward variable is significant for the intention to use in the acceptance of blockchain technology.
Mauro Sciarelli, Anna Prisco, Mohamed Hani Gheith, Valerio Muto
Purpose The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology. Design/methodology/approach This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: âreduced costâ and âefficiency and securityâ. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation. Findings The results show that âefficiency and securityâ is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes. Originality/value This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.
Purpose: The study aimed to determine why Turkish participants are voluntary or hesitant to use cryptocurrencies and to assess which factors affected cryptocurrencies usage. Method: Technology acceptance model (TAM) was used in the study to analyze Turkish individualsâ cryptocurrency usage behavior. Structural equation (regression) modeling (SEM) was used to test the research model. AMOS and SPSS programs were used for analysis. Findings: The study model showed that cryptocurrency usage was exposed to the most effect by perceived benefit. Contrary to expectations, perceived risk did not make any significant effect on usage behavior. A causality relation between perceived benefit and decentralization factor was found more than other benefit sub-factors. Perceived ease of use had no positive direct relation with usage behavior in the study. Perceived ease of use had a positive relation with perceived benefit in the study.
Purpose The purpose of the research is to investigate usersâ adoption of blockchain-based games in China. Design/methodology/approach This research applied existing technology diffusion theories to develop a research model to examine usersâ adoption of blockchain-based games. As a result, a research model with nine research hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 210 blockchain-based games users. Structural equation modeling was applied to analyse the collected data. Findings The results indicated that seven of nine research hypotheses were supported. It was found that trust, perceived usefulness, perceived enjoyment and perceived ease of use were key determinants for usersâ behavioural intention to use blockchain-based games. The most influential relationship in the research model appeared to be the effect of perceived usefulness on usersâ behavioural intention to use blockchain-based games. However, subjective norms did not have significant positive impacts on usersâ behavioural intention to use blockchain-based games. Practical implications The regulatory support from governmental authorities is essential to provide additional legal certainty to build usersâ trust in playing blockchain-based games. Blockchain-based games providers should arrange the training program targeted to the general users to enhance their understanding of the key features associated with blockchain-based games. Blockchain-based games developers should come up with good design solutions to maximize user enjoyment with blockchain-based games by considering additional entertainment elements. Originality/value To the best of the authorsâ knowledge, this study is first of its kind in investigating the adoption of blockchain-based games from usersâ perspectives. This study contributes to the existing literature on the adoption of blockchain technology.
Blockchain technology (BCT) has been gaining popularity due to its benefits for almost every industry. However, despite its benefits, the organizational adoption of BCT is rather limited. This lack of uptake motivated us to identify the factors that influence the adoption of BCT from an organizational perspective. In doing this, we reviewed the BCT literature, interviewed BCT experts, and proposed a research model based on the TOE framework. Specifically, we theorized the role of technological (perceived benefits, compatibility, information transparency, and disintermediation), organizational (organization innovativeness, organizational learning capability, and top management support), and environmental (competition intensity, government support, trading partners readiness, and standards uncertainty) factors in the organizational adoption of BCT in Australia. We confirmed the model with a sample of adopters and potential adopter organizations in Australia. The results show a significant role of the proposed factors in the organizational adoption of BCT in Australia. Additionally, we found that the relationship between the influential factors and BCT adoption is moderated by âperceived risksâ. The study extends the TOE framework by adding factors that were ignored in previous studies on BCT adoption, such as perceived information transparency, perceived disintermediation, organizational innovativeness, organizational learning capability, and standards uncertainty.
Ibrahim Almarashdeh, Kamal Eldin Hassan Ibrahim Eldaw, Mutasem K. Alsmadi, Fahad AlGhamdi · 8 authors
Bitcoin is a decentralized system that tries to become a solution to the shortcomings of fiat and gold-based currencies. Considering its newness, the adoption level of bitcoin is yet understood. Hence, several variables are proposed in this work in examining user perceptions regarding performance expectancy, effort expectancy, trust, adoption risk, decentralization and social influence interplay, with the context of userâs future expectation and behavioral intentions to use bitcoins. Data were gathered from 293 completed questionnaire and analised using AMOS 18. The outcomes prove the sound predictability of the proposed model regarding userâs future expectations and intentions toward bitcoins. All hypotheses were supported, they were significantly affecting the dependent variables. Social influence was found as the highest predictor of behavioral intention to negatively utilize bitcoins. The significant impact of social influence, adoption risk and effort expectancy which affect behavioral intention to use bitcoins the most, are demonstrated in this study. Bitcoins should thus, present an effective, feasible and personalized program which will assist efficient usage among users. Additionally, the impacts of social influence, adoption risk and perceived trust on behavioral intention to utilize new technology were compared, and their direct path was tested together, for the first time in this context.
Michael Lustenberger, SaĆĄa MaleĆĄeviÄ, Florian Spychiger
Blockchain technology has been extensively tested, implemented, used, or even abandoned by organizations. Whether organizations adopt blockchain technology depends on many factors. Previous literature has identified a range of potential factors affecting the adoption of blockchain technology, but most studies have focused solely on a subset of specific factors. As a result, these studies can provide only limited explanations for the varying degrees of blockchain adoption. By relying on the well-established Technology-Organization-Environment (TOE) framework, we propose an extended Blockchain Adoption Model (BAM). We derive a rich set of factors from the current state of research on blockchain adoption and the business ecosystem literature and extend them by conceptual reasoning. We then develop testable hypotheses for each of the identified factors. The resulting 14 hypotheses are tested by conducting a survey ( n = 350) within the DACH-region (Germany, Austria and Switzerland). We quantitatively analyze our BAM with a binary logistic regression analysis and identify six constructs impacting the adoption (relative advantage, observability, organizational age, external stakeholder pressure, regulatory uncertainty, and scope of business ecosystem). Based on our findings we introduce the novel idea of âecosystem readinessâ as the most important factor for the adoption of blockchain. Ecosystem readiness is characterized by the following attributes: 1) a large ecosystem scope, 2) stakeholders that are not yet collaborating in a trustful and regulated environment, and 3) a powerful organization leading the ecosystem. This powerful organization further intentionally promotes innovation by 4) making the benefits of this new technology observable for others, by 5) putting pressure on the other ecosystem participants to adopt the new technology, and eventually by 6) striving for regulatory certainty in the application and use of blockchain.
Abstract The cryptocurrency market has been described as revolutionary due to the constant technological evolution and innovation that the blockchain technology provides. Leading many to believe that this could be the next step for the human race, just like how fiat currency replaced gold. Cryptocurrencies were originally created to be a form of savings or income for the unbanked, reduce costs and energy consumption, for a means of data transparency and to remove financial intermediaries. It is undeniable that the cryptocurrency market has created a divide of opinions, as some look to explore the market further while others reject the thought of adopting this innovative technology completely. This study focuses on the perception and intention to use cryptocurrencies. Diving into previous literature about the adoption of cryptocurrencies and new technologies. Highlighting key factors that can affect an individualâs perception and gaps in the literature that need to be explored further. A quantitative approach was used to gather data from 102 participants. The findings indicated that performance and effort expectancy as the most influential variables for cryptocurrency adoption, as people seek understanding as what benefits cryptocurrencies can provide for them when they feel incapable of using the innovative technology.
Accounting information systems (AISs), the core module of any enterprise resource planning (ERP) system, are usually designed as centralised systems. Nowadays, the continuous development and applications of blockchain, or more broadlyâdistributed ledger technology (DLT), can change the architecture, overcome and improve some limitations of centralised systems, most notably security and privacy. An increasing number of authors are suggesting the application of blockchain technologies in management, accounting and ERPs. This paper aims to examine the emerging literature on this field, and an immediate result is that blockchain applications can have significant benefits. The paperâs innovative contribution and considerable objective are to examine if blockchain can be successfully integrated with AIS and ERPs. We find that blockchain can facilitate integration at multiple levels and better serve various purposes as auditing compliance. To demonstrate that, we analyse e-procurement systems and operations using case study research methodology. The findings suggest that DLT, decentralised finance (DeFI), and financial technology (FinTech) applications can facilitate integrating AISs and ERP systems and yield significant benefits for efficiency, productivity and security.
Guych Nuryyev, Anastasia Spyridou, Simon Yeh, Chen-Chang Lo
Hospitality businesses might achieve a competitive advantage by adopting cryptocurrency payments. This study provides insight into the factors that influence hospitality businessesâ intention to use new digital payments based on a conceptual approach. One of the contributions to the literature is in integrating an external variable â perceived security â into the Technology Acceptance Model. Perceived security is considered a strong predictor for a new payment technology adoption. This study also contributes to the academic research by illuminating potential directions for future empirical research.
Mohammad Rokibul Kabir, Md. Aminul Islam, Marniati Marniati, Herawati Herawati
Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.
In recent times, organizations are increasingly adopting blockchain technology in their supply chains due to various advantages such as cost optimization, effective and verified record-keeping, transparency, and route tracking. This paper aims to examine the factors influencing the intention of small and medium enterprises (SMEs) in India to adopt blockchain technology in their supply chains. A questionnaire-based survey was used to collect data from 216 SMEs in the northern states of India. The study has considered an integrated technology adoption framework consisting of the Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), and Technology-Organization-Environment (TOE). Using this integrated TAM-TOE-DOI framework, the study has proposed eleven hypotheses related to factors of blockchain technology adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) have been used to test the hypotheses. The results show that relative advantage, technology compatibility, technology readiness, top management support, perceived usefulness, and vendor support have a positive influence on the intention of Indian SMEs to adopt blockchain technology in their supply chains. The complexity of technology and cost concerns act as inhibitors to the technology adoption by SMEs. Furthermore, the three factors, namely, security concerns, perceived ease of use, and regulatory support, do not influence the intention to adopt the technology. The study contributes to filling a significant gap in the academic literature since only a few studies have endeavored to ascertain the technology adoption factors by supply chains of SMEs in a developing country like India. The study has also proposed a novel integrated technology adoption framework that can be employed by future studies. The findings are expected to enable SMEs to understand important factors to be considered for adopting blockchain technology in their supply chains. Furthermore, the study may benefit the blockchain technology developers and suppliers as they can offer customized solutions based on the findings.
Purpose Blockchain is expected to impact reporting and auditing processes. Indeed, the increasing use of blockchain could affect the nature and extent of information available to auditors and how audits are performed. This paper aims to investigate how auditors are assessing the relevance of the current auditing standards in light of the emergent use of blockchain technology. Design/methodology/approach Based on qualitative content analysis, this paper analyzed semi-structured interviews with auditors to understand their shared perception of how the current auditing standards address blockchainâs emergence. Findings The findings reveal a growing demand for information technology (IT) auditing standards, as well as a mismatch in timing between the quickly changing IT environment and the regulatorsâ slowness in releasing new standards or updating standards. Research limitations/implications The findings reflect the external auditorsâ points of view and cannot be generalized to all countries, but future studies should address the development of specific IT-related auditing standards to better fit the fast-evolving technology environment in ways that consider the other stakeholdersâ points of view, including those of the standard setters. Practical implications The results of this study show that auditors consider the current auditing standards for IT to be too vague, and they need more guidance on both auditing blockchain and using technologies as audit tools. Originality/value The original contribution of this study lies in the in-depth understanding it provides of the adequacy of the current auditing standards to audit companies using blockchain, which is an under-researched topic.
Ajay Kumar Shrestha, Julita Vassileva, Sandhya Joshi, Jennifer Just
BACKGROUND: In the collaborative business environment, blockchain coupled with smart contract removes the reliance on a central system and offers data integrity which is crucial when the transacting parties rely on the shared data. The acceptance of such blockchain-based systems is necessary for the continued use of the services. Despite many extensive studies evaluating the performance of blockchain-based systems, few have focused on users' acceptance of real-life applications. OBJECTIVE: The main objective of this research is to evaluate the user acceptance of a real-life blockchain-based system (BBS) by observing various latent variables affecting the development of users' attitudes and intention to use the system. It also aims to uncover the dimensions and role of trust, security and privacy alongside the primary Technology Acceptance Model (TAM)-based predictors and their causal relationship with the users' behavior to adopt such BBS. METHODS: We tested the augmented TAM with Trust Model on a BBS that comprises two subsystems: a Shopping Cart System (SCS), a system oriented towards end-users and a Data Sharing System (DSS), a system oriented towards system administrators. We set research questions and hypotheses, and conducted online surveys by requesting each participant to respond to the questionnaire after using the respective system. The main study comprises two separate sub-studies: the first study was performed on SCS and the second on DSS. Furthermore, each study data comprises initial pre-test and post-test data scores. We analyzed the research model with partial least square structural equation modelling. RESULTS: The empirical study validates our research model and supports most of the research hypotheses. Based on our findings, we deduce that TAM-based predictors and trust constructs cannot be applied uniformly to BBS. Depending on the specifics of the BBS, the relationships between perceived trust antecedents and attitudes towards the system might change. For SCS, trust is the strongest determinant of attitudes towards system, while DSS has perceived privacy as the strongest determinant of attitudes towards system. Quality of system shows the strongest total effect on intention to use SCS, while perceived usefulness has the strongest total effect on intention to use DSS. Trust has a positive significant effect on users' attitudes towards both BSS, while security does not have any significant effect on users' attitudes toward BBS. In SCS, privacy positively affects trust, but security has no significant effect on trust, whereas, in DSS, both privacy and security have significant effects on trust. In both BBS, trust has a moderating effect on privacy that correlates with attitudes towards BBS, whereas security does not have any mediating role between privacy and attitudes towards BBS. Hence, we recommend that while developing BBS, particular attention should be paid to increasing user trust and perceived privacy.
This study aims to explore the role of BC and its impact on CRM by suggesting an extended CRM on the basis of BC capabilities thru developing an analytic hierarchy planning-based framework to establish criteria weights developing a new self-assessment model to determine the most critical factors impacting the BC investment in CRM to enhance customer experience and to enable parties to work together in a trusted technology environment. An analytical hierarchical process (AHP) approach was utilized to prioritize and weigh the factors affecting the BC investment in modern CRM in the service industry based on the extant literature and its interpretation. This approach resulted in a ranking of 19 sub-factors based on experienced customer service professionals and technologistsâ evaluations. Findings revealed a significant insight into proposing a new generation of CRM based on BCT, focusing on using the powerful BC platform considering all factors influencing the BC investment in modern CRM from a business perspective. Understanding the new combination of BC and CRM can solve the challenges and dilemmas linked to the untrusted environment of handling CRM data in the information systems field. This study provides valuable information and critical analysis of BC regarding CRM integration. Directions for future research are also included.
Firms apply new technology to value creation. In particular, blockchain technology increases transparency and stability of shipping and logistics firms and this is connected with a high level of collaboration with shippers. In this regard, the objective of this study is to verify the interaction effect of information systems of shipping and logistics firms and managersâ support for blockchain technology on cooperation with shippers. To achieve the objective, this study identified variables based on prior research and analyzed the data collected by a survey. The results are as follows. First, information systems as a resource of shipping and logistics firms have a positive effect on cooperation with shippers. To enhance the strategic resource, they increase cooperation with shippers based on learning and logistics process improvement. Therefore, the relationship between the information systems and cooperation with shippers can be explained as a resource-based view. Second, there is the interaction effect of the information systems and managersâ support for blockchain technology on the cooperation and this can be explained as a resource-based view. Information systems are resources of shipping and logistics firms, and managers should encourage and reward staff for using new technology such as blockchains, followed by a high level of cooperation with shippers.
Blockchain is an emerging technology that depends on distribution, decentralization, and encryption. Recently, it has gained wide interest in various fields of studies. Several considerable research on blockchain adoption has appeared in international journals across different disciplines, however, a review of literature on the adoption of blockchain remains rare. This study aimed to provide a comprehensive literature review of the current blockchain adoption studies that use individual adoption models or theories. This paper included the papers that are published in the 7 Scopus database from 2017-2021. Studies were analyzed to determine the adoption models or theories that are used, industry, country, methodology, and identify the most important influencing factors that drive the user to accept the adoption of blockchain technology. The results showed that there are still limitations in adoption studies in various fields such as health and education however, the field of supply chain management is one of the areas that received the most attention in the studies. Common studies relied on the Technology Acceptance Model (TAM) model as well as the Unified Theory of Acceptance and Use of Technology (UTAUT). Moreover, perceived ease of use (PEOU), perceived usefulness (PU) are considered the most important factors affecting the intention of users in adopting blockchain technology in different fields. The research findings have implications on blockchain adoption research. In terms of theory, the findings provide a guideline for the other researchers to put their own research in a better context and thus contribute to understanding the relevant blockchain adoption issues that require further investigation.
Ghazanfar Ali Abbasi, Lee Yin Tiew, Jinquan Tang, Yen-Nee Goh · 5 authors
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, particularly in emerging markets like Malaysia. The purpose of the study is to examine whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modelling (PLS-SEM) & Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-SEM approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model were extended with the inclusion of trust and personnel innovativeness. The model was further validated by introducing a new path model compared to the original UTAUT2 model and the moderating role of personal innovativeness between performance expectancy and price value, with a sample of 314 respondents. Contrary to previous technology adoption studies that used PLS-SEM & ANN as single-stage analysis, this study further enhanced the analysis by applying a deep learning-based dual-stage PLS-SEM and ANN method. The application of deep learning-based dual-stage PLS-SEM & ANN analysis is a novel methodological approach, detecting both linear and non-linear associations among constructs. At the same time, it is regarded as a superior statistical approach as compared to traditional hybrid shallow SEM & ANN single-stage analysis. Also, sensitivity analysis provides normalised importance using multi-layer perceptron with the feed-forward-back-propagation algorithm. Furthermore, the deep learning-based dual-stage PLS-SEM & ANN revealed that trust proved to be the strongest predictor in driving user intention. The introduction of this new methodology and the theoretical contribution opens the vistas of the extant body of knowledge in technology-adoption related literature. This study also provides theoretical, practical and methodological contributions.
The purpose of this research study is to analyze the exploratory study of the adoption of Bitcoin cryptocurrency based on blockchain technology and its use as a means of payment in companies. This research is exploratory in nature. As such, an adoption model was investigated using the technology acceptance model (TAM) which was extended with new variables. The sample was made up of business executives from companies and commercial establishments (n = 248). Partial least squares structural equation modeling (PLS-SEM) was chosen as the analysis and evaluation technique for the model. The authors demonstrated that privacy has an important influence on perceived utility, and that trust has a very significant influence on privacy and perceived ease of use, thus indirectly affecting the intention to use cryptocurrencies.