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This paper aims to present a comprehensive overview of the emergence and significance of digital payments, focusing on their impact on competitiveness and the need for policy interventions. In addition, it explores the design of policies that promote the adoption of digital payments, highlighting the benefits they offer to providers and users.

The paper examines the technological advances that have driven the growth of digital payment systems. It identifies key requirements for successful adoption and discusses the associated risks, along with potential strategies to mitigate these risks.

The findings emphasize the importance of responsible implementation and safeguarding the well-being of end users to fully realize the benefits of digital payment adoption. Understanding the inherent risks and establishing effective risk mitigation mechanisms are crucial. This necessitates the development of appropriate infrastructure to support the provision of digital payment services.

More research is needed to gain deeper insights into how emerging global trends in financial technology should be analyzed and understood by policymakers, service providers and users.

The findings of this study can guide policymakers, private sector managers and consumers in comprehending the effects of emerging digitalization trends and determining their adoption responses accordingly.

This paper stands out as one of the few research contributions that provide comprehensive and actionable policy recommendations to facilitate a smooth transition to a digital payments ecosystem that benefits all stakeholders.

Criminals have quickly discovered the advantage of crypto assets, with its pseudo-anonymity, untraceability and the ability to freely exchange crypto assets across borders, which makes it an ideal tool for money laundering activities. Switzerland has a technology-neutral framework, and crypto assets are regulated by the existing anti-money laundering (AML) legislation. The purpose of this paper is to gain insights into the industry adoption of measurements to prevent money laundering through crypto assets and if they are compliant with national and international AML regulations.

Semi-structured expert interviews were conducted with participants having expertise in compliance, AML and crypto assets with focus on Switzerland. The interviews were analyzed using the thematic analysis.

The experts have a general consensus that Switzerland is a pioneer when it comes to regulating crypto assets. It is perceived that legislations are released without industry consultation and that AML processes for fiat transactions also work for crypto assets, which is not the case. The results show that the industry wants a consortium to fight money laundering in crypto assets in Switzerland. The current measures to identify money laundering are not optimal, yet, it is the best solution and according to national and international regulations the businesses are perceived to be compliant.

This paper offers new insights on the challenges of AML regulations in crypto assets, given the limited information available. It also provides good practice examples for addressing these challenges, benefiting policymakers, regulators and practitioners in the crypto asset ecosystem.

This paper aims to empirically examine the impact of mandatory CSR disclosure on the CEO pay performance sensitivity.

Using the mandatory requirement of CSR disclosure as an exogenous shock, the authors compare the changes in CEO pay performance sensitivity for treatment firms with control firms through a difference-in-difference (DiD) approach.

The authors find that mandatory CSR disclosure enhances CEO pay performance sensitivity. The results also show that monitoring CEO power is a conduit through which mandatory CSR disclosure affects CEO pay performance sensitivity. The positive impact is more profound in firms with a powerful CEO, i.e. one who is politically well-connected, holds dual roles as both CEO and Chairman, and/or has had a long tenure. Furthermore, the increased CEO pay performance sensitivity after the mandate is prominent among state-owned enterprises (SOEs) only.

The findings of this paper have implications for other economies with similar institutional backgrounds as China. Although the mandatory CSR disclosure does not require firms to spend on CSR investment, the mandatory CSR disclosure alters firm behaviour, and mitigates agency problems.

This paper contributes to the studies on the impact of CSR disclosure on firms' behaviour. To the authors' knowledge, this is the first study to examine the effects of mandatory CSR disclosure on CEO pay performance sensitivity using the quasi-natural experiment settings.

This chapter provides a brief overview of community sanctions in Australia and examines the extent to which McNeill’s analysis in Pervasive Punishment (2019) is applicable in the Australian context. Two key issues in the Australian context are, firstly, state and territory-level variations within a federal political structure, and secondly, disproportionate Indigenous imprisonment and community sanction rates and the generally destructive impact of the criminal legal system on Indigenous communities and peoples. The chapter argues that developing a better agonistic politics around community sanctions requires descending from the broad level of historical and sociological analysis to examine state and territory-level variations in judicial and correctional structures, histories and cultures. Further, that Australian community sanctions cannot be understood without a primary focus on the differences between Indigenous and non-Indigenous rates, experiences and meaning. The key to addressing the destructive impact of criminal legal processes and practices on Indigenous peoples lies in developing Indigenous governance, empowerment, self-determination, sovereignty and nation-building. Two recent developments promoting Indigenous governance are examined: the Uluru Statement from the Heart and Justice Reinvestment projects initiated by First Nations communities, highlighting the importance of activism, contest and struggle by community organisations.

Under the digital wave and the new industrial competition pattern, the automobile industry is facing multiple challenges such as the redefinition of new technologies and supply chain changes. The purpose of this study is to link big data analytics and artificial intelligence (BDA-AI) with digital supply chain transformation (DSCT) by taking Chinese automobile industry firms as a sample and to consider the role of supply chain internal integration (SCII), supply chain external integration (SCEI) and supply chain agility (SCA) between them.

Data were collected from 192 Chinese firms in the automotive industry and analyzed using partial least squares structural equation modeling (PLS-SEM). Importance-performance map analysis is used to extend the standard results reporting of path coefficient estimates in PLS-SEM.

The results indicate that BDA-AI, SCII, SCEI and SCA positively influence DSCT. In addition, this study found that SCII, SCEI and SCA play an intermediary role in BDA-AI and DSCT.

The paper enriches the research on the mechanism of digital resources affecting DSCT and expands the research of organizational information processing theory in the context of digital transformation. The paper explores how the resources deployed by firms change the strategic measures of firms from the perspective of responsiveness. By exploring the positive impact of SCA as a response capability on the DSCT strategy and its intermediary role between digital resources and DSCT, which is helpful to the further theoretical development of logistics and supply chain disciplines.

Housing is one of the basic necessities of humankind for survival and purchasing a home is often a substantial milestone. Individuals exhibit complex behaviour influenced by various factors while making decisions related to the purchase of residential properties. While most of the earlier studies have focused on understanding the purchasing behaviour of home buyers’ in developed countries, the research is limited on this topic in developing countries such as India. The booming information technology industry has rapidly increased the demand for residential properties among the migrant population in Bengaluru, India’s largest technology hub. Real estate developers strive to meet the requirements of prospective customers through innovative ways but face challenges in a competitive market.

It is essential to understand the factors influencing home buyers’ purchase attitudes for increasing property sales. However, a lack of research on this subject is identified in the emerging city of Bengaluru. This study aims to analyse the determinants of home buying decisions for potential investors in Bengaluru through structural equation modelling to provide insights for the real estate industry to construct houses as per their customers’ needs.

It was found that housing amenities, financial aspects, location conveniences and marketing services significantly influenced home buyers’ purchase decisions, whereas housing features do not.

The findings of this study offer valuable insights for governmental bodies to implement appropriate policies and for builders to design properties with features that cater to the target population, thereby promoting sustainable growth in the real estate industry.

This study aims to integrate the concepts of digital transformation, innovation strategy, and competitive advantage, into a novel research model in an effort to identify a more competitive path for digital transformation within manufacturing enterprises.

The research model was tested through multivariate hierarchical regression analyses, and Hayes’ PROCESS for SPSS, utilizing survey data collected from 183 manufacturing enterprises in China.

The results indicate that, in comparison to research and development (R&D) and production, digital transformation in service and organizational activities exert a more significant impact on competitive advantage. Conversely, digital transformation in sales does not exhibit a significant impact on competitive advantage. Furthermore, in contrast to exploratory innovation and ambidexterity, exploitative innovation has a more pronounced influence on digital transformation. Additionally, digital transformation has been confirmed as a mediator in the relationship between innovation strategy and competitive advantage.

These findings expand our comprehension of digital transformation as an evolving process and shed light on the relationship between digital transformation and competitive advantage across various value-creating activities. This research serves as a valuable resource for decision-makers in selecting the most suitable path for digital transformation and configuring innovative resources.

Blockchain technology (BCT) has emerged as a powerful tool for enhancing transparency and trust. However, the relationship between the benefits of BCT and agri-food supply chain performance (AFSCperf) remains underexplored. Therefore, the current study investigates the influence of BCT on AFSCperf and sustainability issues.

Through a comprehensive literature review, various benefits of BCT are identified. Subsequently, a research framework is proposed based on data collected from questionnaire surveys and personal visits to professionals in the agri-food industry. The proposed framework is validated using partial least square structural equation modelling (PLS-SEM).

The findings reveal that BCT positively impacts AFSCperf by improving traceability, transparency, food safety and quality, immutability and trust. Additionally, BCT adoption enhances stakeholder collaboration, provides a decentralised network, improves data accessibility and yields a better return on investment, resulting in the overall improvement in AFSCperf and socio-economic sustainability.

This study offers valuable practical insights for practitioners and academicians, establishing empirical links between the benefits of BCT and AFSCperf and providing a deeper understanding of BCT adoption.

Stakeholders, managers, policymakers and technology providers can leverage these findings to optimise the benefits of BCT in enhancing AFSCperf. Moreover, it utilises rigorous theoretical and empirical approaches, drawing on a multidisciplinary perspective encompassing food operations and supply chain literature, public policy, information technology, strategy, organisational theory and sustainability.

In the wake of lockdown regulations and limited mobility during the COVID-19 pandemic, dining habits shifted towards usage of food delivery apps to avoid physical interaction. Nonetheless, it is unknown whether the COVID-19 pandemic had an influence on the adoption of food delivery apps. Therefore, this study examined factors influencing the adoption of food delivery apps during the COVID-19 pandemic, as well as the moderating effects of education and age.

Data were collected from 282 food delivery application users in South Africa using a web-based survey. Partial least square structural equation modelling analysis was used to test the hypotheses, while partial least squares multigroup analysis was used to examine the moderating effect of education level and age.

The results indicated that perceived ease of use has a significant impact on perceived usefulness and attitudes, perceived usefulness has an impact on attitudes and continuous intention, attitude influences continuous intention and social pressure and convenience influence attitudes. The perceived COVID-19 threat had no impact on attitudes, and education and age had no significant impact on any relationships. The findings are imperative for restaurants and mobile application designers, as they enable more effective strategic management planning.

This study is the first paper to empirically employ technology acceptance model to analyse the adoption of food delivery applications during the COVID-19 pandemic. Its uniqueness is in examining situational influence associated with the pandemic such as social pressure, perceived COVID-19 threat and convenience.

Blockchain technology has the potential to enhance information and knowledge management among members of the supply chain. This study aims to demonstrate the direct and indirect impact of blockchain adoption on achieving supply chain competitive advantage and improving innovation capabilities to achieve greater supply chain performance.

The study opted for a quantitative research approach. A structured questionnaire was used to collect data from 284 respondents from various Jordanian manufacturing firms. Smart PLS software was used to conduct structural equation modelling to test the proposed hypotheses.

The analysis revealed that investing in and using blockchain-enabled supply chain applications improves the ability to achieve higher levels of productivity, lead times, customer service and relationships with supply chain members. Moreover, blockchain technology integration with supply chain management processes has a positive impact on innovative activities that support supply chain operations. Finally, blockchain adoption has enhanced supply chain performance by reducing transaction costs, improving customer service and increasing the speed of supply chain operations.

The study provides guidance for decision-makers and academicians on the use of blockchain adoption to improve supply chain performance. Future studies should use a larger sample size and random sampling techniques to achieve better generalizability of the results.

The study fulfils an identified gap in the application of blockchain technology to improving supply chain performance within a broader context that encompasses supply chain innovation capabilities and competitive advantage.