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This study aims to understand what primary relationship problem mechanisms can exist in the franchise channel and how exchange partners respond to them. This study demonstrates how the franchisor’s relationship problem mechanisms (threat, contract enforcement) affect the franchisee’s negative active responses (venting, threatened withdrawal).

This study tested hypotheses through multiple regression analysis using data from 200 franchisees in Korea-based food franchise systems.

The results indicated that threat increases venting and threatened withdrawal, while contract enforcement only increases venting. Venting increases threatened withdrawal. In addition, the results indicated that the franchisor’s behavior monitoring positively moderates the relationship between relationship problem mechanisms and negative active responses.

This study helps strategically manage responses to relationship problems by categorizing ‘relationship problem mechanisms’ into intentional relationship problem mechanisms based on communication (threat) and unintentional relationship problem mechanisms based on action (contract enforcement). This study finds that both relationship problem mechanisms, intentional or unintentional, eventually cause threatened withdrawal directly or indirectly. Even if the threat is merely communication, not action, it is more likely to cause relationship dissolution than contract enforcement by directly triggering any negative active response. This study also finds that behavior monitoring can affect exchange partners through interaction with other management mechanisms rather than directly affecting them.

The number of construction dispute cases has maintained a high growth trend in recent years. The effective exploration and management of construction contract risk can directly promote the overall performance of the project life cycle. The miss of clauses may result in a failure to match with standard contracts. If the contract, modified by the owner, omits key clauses, potential disputes may lead to contractors paying substantial compensation. Therefore, the identification of construction project contract missing clauses has heavily relied on the manual review technique, which is inefficient and highly restricted by personnel experience. The existing intelligent means only work for the contract query and storage. It is urgent to raise the level of intelligence for contract clause management. Therefore, this paper aims to propose an intelligent method to detect construction project contract missing clauses based on Natural Language Processing (NLP) and deep learning technology.

A complete classification scheme of contract clauses is designed based on NLP. First, construction contract texts are pre-processed and converted from unstructured natural language into structured digital vector form. Following the initial categorization, a multi-label classification of long text construction contract clauses is designed to preliminary identify whether the clause labels are missing. After the multi-label clause missing detection, the authors implement a clause similarity algorithm by creatively integrating the image detection thought, MatchPyramid model, with BERT to identify missing substantial content in the contract clauses.

1,322 construction project contracts were tested. Results showed that the accuracy of multi-label classification could reach 93%, the accuracy of similarity matching can reach 83%, and the recall rate and F1 mean of both can reach more than 0.7. The experimental results verify the feasibility of intelligently detecting contract risk through the NLP-based method to some extent.

NLP is adept at recognizing textual content and has shown promising results in some contract processing applications. However, the mostly used approaches of its utilization for risk detection in construction contract clauses predominantly are rule-based, which encounter challenges when handling intricate and lengthy engineering contracts. This paper introduces an NLP technique based on deep learning which reduces manual intervention and can autonomously identify and tag types of contractual deficiencies, aligning with the evolving complexities anticipated in future construction contracts. Moreover, this method achieves the recognition of extended contract clause texts. Ultimately, this approach boasts versatility; users simply need to adjust parameters such as segmentation based on language categories to detect omissions in contract clauses of diverse languages.

Purpose: The global financial services business has been transformed by Blockchain technology, making it safer and more efficient. Keeping this fact in mind, the authors will study how Blockchain technology improves financial services, including the banking and insurance sectors. The risks and roadblocks in the path of Blockchain adoption in financial services will also be discussed.

Need of the Study: Blockchain operates without any central authority. Instead, it could be understood as a transaction-containing ledger shared among many users. The adoption of Blockchain is gaining traction in every field, but still, a sense of doubt about its reliability can be observed among ordinary people. Thus, an investigation of the operational intricacies and technicalities could assist in clarifying the confusion associated with this technology.

Methodology: To achieve the aims mentioned above, an exploratory research design involving a review of the secondary data linked with the implementation and impact of Blockchain technology in the domain of finance is conducted.

Findings: The mode of operation of Blockchain technology is thoroughly explained, along with the influence it has exercised in the financial domain in recent years.

Practical Implications: The findings of this study can mainly assist global investors and users worldwide by clarifying the concept and operations of Blockchain technology. Also, it could guide future studies assessing the role of Blockchain in the financial domain.

This study aims to identify the problems in shariah compliance and the weak oversight of implementing Islamic crowdfunding (ICF). Shariah compliance regulation is an essential subsystem in Islamic social finance ecosystems.

This type of research is legal research. The research approaches are the statute, comparative and conceptual approaches. The study in this research examines Indonesia, the UK and Malaysia.

ICF is one of the fastest-growing sectors of Islamic financial technology (fintech). The Islamic fintech sector is showing maturity signals with a market size of $79bn in 2021, projected at $179bn in 2026. Malaysia, Saudi Arabia and Indonesia lead the Index by Global Islamic Fintech (GIFT) Index scores. However, low shariah compliance is still an issue in implementing ICF. This problem is caused by regulatory support that is still lacking and oversight of shariah compliance is not optimal. On the one hand, shariah compliance is the ICF core principle for Shariah Governance.

This study examines the regulation and oversight of ICF in Indonesia, Malaysia and the UK. Indonesia and Malaysia, a country with the highest GIFT index score in the world, and the UK, a country with an Islamic finance sector experiencing rapid growth.

The research results on shariah compliance regulation in ICF are helpful as a comprehensive approach for developing sustainable Islamic social finance ecosystems.

Shariah compliance is the core principle of ICF governance. Its implementation can increase public trust.

Crowdfunding platform and issuers in ICF must implement shariah compliance. Therefore, it is essential to consider the presence of shariah compliance requirements and a Shariah Supervisory Board (DPS).

This paper aims to systematically analyze the weaknesses of public procurement in Malaysia as reported in the Auditor General’s Reports from 2011 until 2018. Specifically, the study examines the types of weaknesses, the modes of public procurement involved with the weaknesses, the procurement categories involved with the weaknesses and the key recommendations to mitigate the weaknesses in public procurement.

A document analysis was adopted in achieving the objective. The Auditor General’s reports and the reports of activities of federal ministries/departments published by the National Audit Department, Malaysia from the year 2011 until 2018 are the main documents used in this study. The data gathered were analyzed using frequency distribution and displayed with descriptive statistics and relevant graphs.

The findings of the study revealed that the top five reported are non-compliance to scope, specifications and terms of contracts; delayed completion/non-completion of project; poor documentation; low quality of products, service and work; and little or no prior planning. It is also found that direct negotiation mode was reported with the highest issues of public procurement, while the procurement mode with the least public procurement weaknesses is direct purchase. Moreover, it was found that work category is the highest with public procurement issues reported compared to supplies and services. The top recommendations given by the Auditor General were to improve internal control, to enhance monitoring, to establish planning in details, to improve assets management and to take appropriate actions toward contractors and procurement officers when needed.

This is among a few studies that attempted to systematically examine the main issues regarding the public procurement activities in Malaysia. This study highlighted pertinent aspects of the public procurement activities, which need close attention by the relevant authorities to ensure efficient and effective public procurement.

This paper explores the experience of “Shari’a” as non-state law in the English courts through a historical analysis of past Islamic finance dispute resolutions (IFDRs). This paper aims to propose a conceivable scenario relating to the law applicable in international commercial contracts in the English courts with the emergence of the Hague Principles 2015.

This paper addresses several issues that have been raised in English case law: doubts about the legal nature of “Shari’a” as non-state law; the limits placed on freedom of choice of “Shari’a” law by the application of a single legal system; and the distinction between application of law and incorporation by reference of “Shari’a” in IFDRs. The paper then analyses the conformity of “Shari’a” with the provisions now used to resolve Islamic finance disputes (trade and investment) in the English courts, using an empirical analysis of The Accounting and Auditing Organization for Islamic Financial Institutions standards.

The paper provides that, in theory, “Shari’a” standards could play a significant role in IFDRs after Brexit, even though a gap persists in practice because the Hague Principles 2015 have not yet been adopted by the English legal system.

The study focuses on the English courts and shows how the IFDRs could be resolved with the emergence of Hague Principles 2015 in the post-Brexit era.

To the best of the author’s knowledge, this paper appears to be the first paper to provide a conceivable scenario relating to the future of the IFDRs in the English courts.

This study aims to map the digital risks for the Islamic finance industry. Since 2010, the financial space has largely shifted from being banking-centric to the entrepreneurship spectrum, benefiting from groundbreaking innovations in computer technology. The problem of Islamic Finance is that it is still within its banking-centric moment that is risk averse leading to financial exclusion. As with all innovations, there are associated risks that require careful consideration to ensure the reaping of the benefits of these technologies while controlling the risks at its lowest. In this context, the aim of this study is to highlight the risks associated with financial technologies (FinTech) to prepare the Islamic finance sector to serve the economic ideals of Maqāṣid al-Shariah in financial inclusion and profit and loss sharing. The main research question is as follows: What do Islamic Finance industry need to do to manage the digital risks for financial inclusion?

This study uses narrative review method in analysing the discourse of financial technology literature using qualitative data collected from the literature on the topic. It aimed to problematise associated digital risks from the Shariah compliance and Maqā¸ṣid al-Shariah critical viewpoints. Considering the nature of this conceptual study, it adopts a qualitative methodology by using discourse and thematic analysis of the literature that can lay the foundation for future empirical testing on the topic.

The study found that managing risks faced by the Islamic financial sector while adapting to the digital era can be divided into two main clusters: risk mitigation for Shariah-compliant FinTech and risk avoidance for Shariah non-compliant innovations. The high level of gharar associated with current practices in both cryptocurrencies and smart contracts needs additional regulation and simulation before they can be reconsidered for market-wide application. Cloud computing, crowdfunding and big data have promising applications that can address the limitations of the Islamic finance industry, particularly in terms of reducing transactional costs.

This conceptual article offers some insights into the subject; nevertheless, it does not attempt to establish causation or generalise the results. Additional statistical testing is required prior to generalising the results.

Due to the difficulties experienced since its inception, the Islamic financial industry is in urgent need of the cutting-edge solutions required to gain a competitive edge in the market and get over the limits that came with its late entry into the financial sector. Mapping digital risks is imperative for the development of comprehensive prudential risk management strategies for the Islamic finance industry that can fix its problems and enable it to deliver the more favourable Shariah-based solutions, rather than remaining in the lower bands of Shariah compliance.

Findings of the study lay the foundation for empirical testing the volatility of FinTech innovations for the Islamic finance industry to reduce uncertainties and generate reliable forecasts. Scholarship on managing digital risks for Islamic financial institutions is still developing due to the covid global lockdown and the looming recession, and this study will help enhance theorisation necessary that can aspire economic recovery after current challenges.

This study aims to investigate the pragmatic issues on the radical call for the establishment of an external Shariah auditor (ESA) in the governance framework of Islamic banks (IBs).

From 11 well-established Malaysian IBs, 16 internal auditors were interviewed to provide an in-depth understanding on how ESA can provide greater assurance to stakeholders in Malaysian IBs.

This study reported mixed acceptance from internal auditors on the proposed additional governance layer to be undertaken by the ESA. Generally, internal auditors reluctantly agreed that Shariah auditing by the ESA would enhance the quality of Shariah assurance but maintain several practical concerns regarding lack of guidelines on Shariah auditing, the additional cost to be borne by IBs and the possible tensions between the ESA and Shariah board (SB) amid the diverse Shariah interpretations available for experts in the field.

The critical point on the manifestation of an ESA in the contemporary IB practice brought by this study highlights the need for regulation and policy promulgation that embrace a comprehensive approach to Shariah audit process within the religio-ethical dogma of Islamic banking and the pragmatic approach to banking.

This study provides evidence on the expected role and competency of an ESA and explores the implications produced by its implementation in Malaysian IBs. This study also clarifies how IBs should delineate the role of Shariah assurance from SB to ESA.

This paper aims to focus on the need for an enhanced anti-money laundering (AML) regulation for decentralised finance (DeFi) to protect the integrity of global financial systems against illicit activities. Research highlights the requirement for a robust regulatory strategy for the fast-paced DeFi evolvement.

This study used doctrinal legal research by analysing legislation, which involved creating use cases to illustrate different aspects of potential illicit activities via the DeFi ecosystem. Various DeFi applications were assessed for the potential regulatory responses and outcomes.

This paper offers valuable insight into the regulatory challenges presented by DeFi. This study addresses the blind spots leveraged by criminals afforded by the DeFi’s decentralised nature. This paper offers a comprehensive examination of DeFi regulatory challenges based on use-case scenarios and provides recommendations for regulators on how to address them effectively.

This paper proposes measures for regulatory authorities to minimise money laundering risks through new channels such as decentralised exchanges, non-custodial wallets and cross-chain bridges. This study concludes with the future directions for DeFi regulation and AML compliance.

The paper aims to provide a comprehensive analysis of artificial intelligence’s (AI) transformative impact on the real estate industry. By examining various AI applications, from property recommendations to compliance automation, this study highlights potential benefits such as increased accuracy and efficiency. At the same time, this study critically discusses potential drawbacks, like privacy concerns and job displacement. The paper's goal is to offer valuable insights to industry professionals and policy makers, aiding strategic decision-making as AI continues to reshape the landscape of the real estate sector.

This paper employs an extensive literature review, combined with a qualitative analysis of case studies. Various AI applications in the real estate industry are examined, including machine learning for property recommendations and valuation, VR/AR property tours, AI automation for contract and regulatory compliance, and chatbots for customer service. The study also delves into the optimisation potential of AI in building management, lead generation, and risk assessment, whilst critically discussing potential challenges such as data privacy, algorithmic bias, and job displacement. The outcomes aim to inform strategic decisions for industry professionals and policy makers.

The study finds that AI has significant potential to revolutionise the real estate industry through enhanced accuracy in property valuation, efficient automation and immersive AR/VR experiences. AI-driven chatbots and optimisation in building management also hold promise. However, this study also uncovers potential challenges, including data privacy issues, algorithmic biases, and possible job displacement due to increased automation. The insights gleaned from this study underscore the importance of strategic decision-making in harnessing the benefits of AI while mitigating potential drawbacks in the real estate sector.

The paper's practical implications extend to industry professionals, policy makers, and technology developers. Professionals gain insights into how AI can enhance efficiency and accuracy in the real estate sector, guiding strategic decision-making. For policy makers, understanding potential challenges like data privacy and job displacement informs regulatory measures. Technology developers can also benefit from understanding the sector-specific applications and concerns raised. Additionally, highlighting the need for addressing algorithmic bias and privacy concerns in AI systems may foster better design practices. Therefore, the paper's findings could significantly shape the future trajectory of AI integration in real estate.

The paper provides original value by offering a comprehensive analysis of the transformative impact of AI in the real estate industry. Its multi-faceted examination of AI applications, coupled with a critical discussion on potential challenges, provides a balanced perspective. The paper's focus on informing strategic decisions for professionals and policy makers makes it a valuable resource. Moreover, by considering both benefits and drawbacks, this study contributes to the discourse on AI's broader societal implications. In the context of rapid technological change, such comprehensive studies are rare, adding to the paper's originality.