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This study aims to examine the feasibility of adopting blockchain technology in Jordan’s industrial sector and its intangible benefits. It also analyzes the influence of factors like technological, process, cultural and leadership readiness on the willingness of enterprises to adopt blockchain.

To gain insights into the potential adoption of blockchain technology and its intangible benefits for enterprises in the Jordanian industrial sector, this study gathered perspectives from a broad range of professionals, including financial managers, internal control staff, accounting departments, IT department managers and IS-related personnel. This was achieved through the administration of a comprehensive questionnaire designed to capture their opinions.

This study highlights the importance of technological and leadership readiness in adopting blockchain. It also shows that blockchain adoption can yield significant intangible benefits for enterprises. However, the study did not find a significant relationship between process readiness, cultural readiness and the intention to adopt blockchain.

The study’s outcomes underscore the importance of prioritizing technological and leadership readiness for enterprises and policymakers intending to adopt blockchain technology. By doing so, they can increase their willingness to adopt this technology and leverage its benefits.

This pioneering study investigates the adoption of blockchain technology and its intangible benefits for Jordanian businesses. It also examines the influence of factors like technological, process, cultural and leadership readiness on the decision to adopt blockchain in the industrial sector.

The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.

This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.

The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.

This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.

This study proposes a systematic and comprehensive circular economy (CE) performance measure as an instrument to operationalize and quantify circularity. It seeks to evaluate the relative contribution of blockchain technology to evaluate various measures in this study. A general research agenda for investigating blockchain capabilities to performance assessment in CE is presented.

Empirical survey data from 32 CE and blockchain experts are collected to inform this study. Inductive reasoning, heatmaps, and a middle-range theory building approach are utilized to generalize theoretical patterns for blockchain support of CE performance assessment and measurement. A series of propositions are then developed as a middle-range theory for the true, false, perceptible, and hidden affordances of blockchain technology capabilities for CE performance measurement.

Overall, sixteen performance measures and metrics are identified and examined. The authors find most of these measures and metrics – based on literature and expert opinion – can be supported using blockchain technology capabilities. Four major blockchain capabilities, transparency and traceability, reliability and security, smart contracts, and incentivization and tokenization are shown to have varying potential support for CE performance assessment. There needs to be an evaluation of true, false, perceptible, and hidden affordances of blockchain technology capabilities for CE performance measurement in future studies.

Blockchain application for CE, and specifically performance measurements, is a new area. Research and practice evaluation on this issue is important but needs substantially additional investigation to help CE progress. This study provides a framework for evaluation and a foundation for future research at the nexus of CE, blockchain technology, and performance measurement.

The purpose of this paper is to study the following two issues regarding blockchain crowdsourcing. First, to design smart contracts with lower consumption to meet the needs of blockchain crowdsourcing services and also need to design better interaction modes to further reduce the cost of blockchain crowdsourcing services. Second, to design an effective privacy protection mechanism to protect user privacy while still providing high-quality crowdsourcing services for location-sensitive multiskilled mobile space crowdsourcing scenarios and blockchain exposure issues.

This paper proposes a blockchain-based privacy-preserving crowdsourcing model for multiskill mobile spaces. The model in this paper uses the zero-knowledge proof method to make the requester believe that the user is within a certain location without the user providing specific location information, thereby protecting the user’s location information and other privacy. In addition, through off-chain calculation and on-chain verification methods, gas consumption is also optimized.

This study deployed the model on Ethereum for testing. This study found that the privacy protection is feasible and the gas optimization is obvious.

This study designed a mobile space crowdsourcing based on a zero-knowledge proof privacy protection mechanism and optimized gas consumption.

Although blockchain technology holds significant promise in influencing supply chain resilience (SCR), its effectiveness depends on a variety of factors. However, given that blockchain adoption in SCR is still in its infancy, there is a lack of empirical research to reveal the critical success factors maximizing its efficacy. This study aims to apply an organizational information processing theory (OIPT) perspective to explore how transformational supply chain leadership (TSCL) can facilitate the deployment and connection of blockchain technology to meet the imperatives of enhancing SCR.

This study used a two-wave survey method to gather data from 317 Chinese manufacturers to empirically examine the hypothesized relationships.

The findings suggest that the adoption of blockchain technology enhances both the proactive and reactive dimensions of SCR, and these effects can be realized through the mediating role of TSCL. Furthermore, the positive effect of blockchain technology on TSCL is strengthened in the context of dysfunctional competition.

These findings suggest that companies can only enhance the benefits of disruptive technologies, such as blockchain, by fully integrating them into the operational and supply chain processes.

This research offers novel insights into the specific processes of how blockchain technology can be used to enhance SCR. It also deepens our comprehension of how digital technology can be optimally harnessed within the framework of OIPT, thus providing a contribution to the literature on emerging technologies and SCR.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.

Blockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.

Semi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.

Perceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.

Increases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.

The purpose of this paper is to provide an extensive examination and analysis of the current literature on the use of blockchain technology in courts. The paper aims to explore the potential benefits of implementing blockchain technology in courts, such as increasing transparency and accountability, improving the efficiency of court procedures and enhancing the security of court records. Additionally, the paper intends to identify the challenges and limitations of using blockchain technology in courts and propose potential solutions to overcome these obstacles. The ultimate goal is to provide a comprehensive understanding of the potential applications and implications of blockchain technology in the context of the court system.

The research design of this study is qualitative, involving a thorough examination and analysis of existing literature on the use of blockchain technology in courts. The data collection procedure involves gathering information from various sources, such as academic publications, official reports and other relevant records. Data analysis is conducted using a thematic analysis approach, which identifies and categorizes recurring themes that emerge from the data. This approach ensures that the results are credible, dependable and accurate representations of the experiences of the participants. By using these methodologies, the study is able to draw meaningful conclusions and insights into the use of blockchain technology in courts.

The major findings of this paper suggest that the implementation of blockchain technology in courts has the potential to bring significant benefits such as increased transparency, efficiency and security. The use of blockchain technology in courts can enable the creation of tamper-proof records that are immutable, secure and transparent, which can help prevent fraud, reduce costs and enhance trust in the judicial system. However, adopting this technology also poses challenges and limitations, such as interoperability, governance and scalability. Overall, the paper concludes that while there are challenges to be addressed, the benefits of blockchain technology in courts are significant and should be explored further.

The study has several limitations that need to be taken into account. Firstly, the availability of data on blockchain implementation in the court system is limited, making it challenging to provide a comprehensive analysis of the topic. Thus, the study’s findings may not be generalizable to other contexts. Secondly, the study takes a technology-centric approach and does not consider blockchain technology’s social and legal implications in court operations. Thirdly, the case studies presented in this paper are limited to a few countries. Moreover, the implementation of blockchain technology in the court system is still in its early stages and lacks standardization, technical expertise and regulatory frameworks. Lastly, uncertainty around the legal framework may hinder its widespread adoption and use.

The practical implications of this study suggest that the use of blockchain technology in courts has the potential to improve efficiency, security, transparency and accountability in the court system. It can reduce the risk of data tampering, expedite case resolution and lower the cost of legal proceedings. Therefore, this study provides a framework for courts to consider blockchain technology’s potential benefits and explore its future adoption.

The social implications of this study are significant, as the adoption of blockchain technology in the court system can have a profound impact on society. Firstly, by increasing transparency and accountability, blockchain technology can promote public trust in the court system and improve access to justice, particularly for disadvantaged communities (Liu et al., 2020). Secondly, blockchain technology can reduce the reliance on intermediaries, such as lawyers, and streamline the case management process, making legal services more accessible and affordable for the general public (Khurana, 2020). Finally, the use of blockchain technology can create a more secure and efficient court system, enhancing the overall effectiveness of the judicial system and promoting public confidence.

This study provides an original contribution to the literature by exploring the use of blockchain technology in courts from a qualitative research design perspective. While there are a growing number of studies on the potential applications of blockchain technology in various fields, this study provides a comprehensive examination of the current literature on the use of blockchain in courts, identifying the benefits and limitations of its implementation. The study’s focus on the strengths and limitations of blockchain technology and its implications in court adds to the originality of this research.

Identifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk prioritization uses a risk priority number (RPN) aligned to the risk analysis. Imprecise information coupled with a lack of dealing with hesitancy margins enlarges the scope, leading to improper assessment of risks. This significantly affects monitoring quality and performance. Against the backdrop, a methodology that identifies and prioritizes the operational supply chain risk factors signifies better risk assessment.

The study proposes a multi-criteria model for risk prioritization involving multiple decision-makers (DMs). The methodology offers a robust, hybrid system based on the Intuitionistic Fuzzy (IF) Set merged with the “Technique for Order Performance by Similarity to Ideal Solution.” The nature of the model is robust. The same is shown by applying fuzzy concepts under multi-criteria decision-making (MCDM) to prioritize the identified business risks for better assessment.

The proposed IF Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) for risk prioritization model can improve the decisions within organizations that make up the chains, thus guaranteeing a “better quality in risk management.” Establishing an efficient representation of uncertain information related to traditional failure mode and effects analysis (FMEA) treatment involving multiple DMs means identifying potential risks in advance and providing better supply chain control.

In a company’s supply chain, blockchain allows data storage and transparent transmission of flows with traceability, privacy, security and transparency (Roy et al., 2022). They asserted that blockchain technology has great potential for traceability. Since risk assessment in supply chain operations can be treated as a traceability problem, further research is needed to use blockchain technologies. Lastly, issues like risk will be better assessed if predicted well; further research demands the suitability of applying predictive analysis on risk.

The study proposes a hybrid framework based on the generic risk assessment and MCDM methodologies under a fuzzy environment system. By this, the authors try to address the supply chain risk assessment and mitigation framework better than the conventional one. To the best of their knowledge, no study is found in existing literature attempting to explore the efficacy of the proposed hybrid approach over the traditional RPN system in prime sectors like steel (with production planning data). The validation experiment indicates the effectiveness of the results obtained from the proposed IF TOPSIS Approach to Risk Prioritization methodology is more practical and resembles the actual scenario compared to those obtained using the traditional RPN system (Kim et al., 2018; Kumar et al., 2018).

This study provides mathematical models to simulate the supply chain risk assessment, thus helping the manufacturer rank the risk level. In the end, the authors apply this model in a big-sized organization to validate its accuracy. The authors validate the proposed approach to an integrated steel plant impacting the production planning process. The model’s outcome substantially adds value to the current risk assessment and prioritization, significantly affecting better risk management quality.

The purpose of this paper is to analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension.

A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period.

While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual.

This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.