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This study aims to examine the effect of usage, value, tradition, risk, compatibility and complexity barriers on user resistance to mobile bookkeeping applications. Furthermore, it also explores how the relationship between these barriers and user resistance is mediated by technostress. Finally, the authors analysed the moderating impact of self-efficacy on the mediating effect of technostress between barriers and user resistance.

Structured questionnaires were used to obtain data from 325 respondents. A structural equation modelling technique was used to investigate the hypotheses.

The findings suggest that usage, risk and tradition barrier has a significantly positive effect on user resistance intention. Also, results suggested that technostress plays an important role in framing customers’ resistance intention. Finally, the mediation effect of technostress between risk barrier and user resistance is higher for users having low levels of self-efficacy compared with users with high levels of self-efficacy.

The present research enriches the existing literature, especially in the field of mobile bookkeeping applications, user resistance, technostress and innovation resistance theory. It would help bookkeeping application developers design their apps, keeping the major user barriers in mind.

This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.

A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.

The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.

The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.

This study aims to explore the factors influencing the bottom of the pyramid (BOP) consumers’ adoption and usage intention towards mobile payment (m-payment) to achieve financial inclusion and sustainable development goals.

A qualitative research design is used to explore the enablers and inhibitors that influence BOP consumers’ m-payment adoption and usage intention. To collect the qualitative responses, semi-structured in-depth interviews with BOP respondents were conducted. The thematic analysis using the text mining technique will be used to analyse qualitative data for exploring the predominant factors affecting m-payment adoption intention and usage.

The results suggested awareness, social influences and self-efficacy as crucial enablers and privacy and security risks and vulnerability concerns as crucial inhibitors towards m-payment adoption and usage.

As a novel contribution to the BOP, financial inclusion, sustainable development goals and m-payment literature, this study unfolds several unknown perceived benefits and perceived sacrifices that influence the BOP consumers’ m-payment adoption intention and usage. The study’s findings help the government and banks formulate and implement strategies to achieve financial inclusion among BOP consumers.

This paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.

The authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.

The authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.

This research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.

The primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.

A total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.

The findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.

This study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.

The construction industry has a fragmented nature which accounts for the highest degree of decentralisation of information. The exchange of information can be made possible and easier by the application of smart computing into the construction process. This creates an opportunity to enhance productivity and communication among stakeholders of the industry. This chapter, therefore, explores the concept of smart contracts, its drivers, challenges and critical success factors for implementing smart computing into construction in the effort to work towards an industry that is functional and sustainable at the same time.

This book chapter focuses on firstly social innovation and tools used to address the social needs and foster social innovation initiatives. Looking at the world economic forum and how it supports the social innovations, currency swings, low paying jobs growing rapidly, rapid change and growth as a result of high volatility and high returns, respectively. Secondly looking at the emerging market brought about by the social innovations and how they interconnect. Leading innovation emerging market has three main industries semiconductors, fin-tech, and electric cars. It also looks at the significance of technology in the development of business emerging markets, the role of technology in the emerging market and activities over the decades. Small firms in emerging areas face three major challenges which technology might help overcome. The challenges are trust, sustainability, and network. The role of technology replacing analog chip used for power supply, sensors, wideband signal make up the large semiconductors in the United States replaced with digital chip such as logical operations, data storage, computer information management all this have given birth to artificial intelligence, autonomous machines, self-driving cars, supply-chain management, cloud computing, and software-as-a-service (SaaS) applications are all made possible by digital chips. These are also used for e-commerce, mobile payment, fine-tech, 5G telecom, health-care advancement, remote learning, online entertainment, and cloud computing. Technical advancements that has sparked a revolution that would be especially advantageous for emerging market and small-cap enterprises are the causes of these benefits of how it has affected countries such as Europe, the United States, China, and India to mention a few.

In recent years, the application of blockchain in enterprise financing has become a hot topic in academic research. This study aims to review the existing literature, construct a knowledge framework for this research topic and propose an agenda for future research.

Based on 181 papers published from 2016 to 2020 in core journal databases in China and abroad, this study used bibliometric tools to identify and analyze an overview of literature publications, research hotspot trends and research theme clustering. This study also qualitatively analyzes literature from the dimensions of enabling mechanisms, multitechnology synergy, challenges, theoretical perspectives and research methods.

This study presents the research progress of blockchain applications in direct financing, bank credit, supply chain finance and other financing modes and analyzes the similarities and differences between domestic and international literature. This study also reveals enabling mechanisms of blockchain in enterprise financing, reflected as information quality improvement (data elements), trust mechanism innovation (business process) and collaboration structure enhancement (network structure). The study found several challenges (e.g. technological uncertainty, data security and organizational change) and trends (e.g. integrated innovation of multiple digital technologies). Additionally, the authors identified several gaps and opportunities for further research.

This study adopts a strict strategy of selecting search terms when retrieving the literature, leading to the exclusion of certain papers on this topic.

This study provides valuable insights into the innovative development of enterprise financing modes enabled by blockchain and emphasizes that managers should clarify the applicable boundaries and necessary conditions of blockchain innovation in different financing scenarios to match technological innovation with industrial expectations.

This study constructs a knowledge framework on this topic based on a comprehensive review of existing research and proposes several important issues for future research based on the identified research gaps.