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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 purpose of this paper is to analyse the extent to which informal businesses employ information and communication technologies (ICTs) in their daily activities and the challenges they face in making use of ICTs.

The study uses nationally representative data for informal businesses in residential and semi-residential areas, as defined by national census sample frames for nine African countries.

The results show that mobile phones remain the most commonly used ICT among informal businesses, while the use of other ICTs, such as fixed-line telephones, computers and the internet remains negligible. Businesses were found to communicate more with their suppliers than with their customers via mobile phone. The lack of use of the different kinds of ICTs was attributed to issues around need, affordability, availability and access.

The data are not representative of formal businesses.

There is little money to be wasted on gadgetry in the informal sector and only technologies that add value (i.e. bring in money in the short term) will be used. There is the need to be concerned about creating a business environment that allows informal businesses that have the skills and ambition to grow and become formal and sustainable. ICTs, in particular the mobile phone and mobile internet, have the potential to facilitate this. ICTs may allow for a deepening of the distribution and procurement channels of businesses. Doing business over distance could become more affordable through the mobile phone and mobile money.

Policy makers have many choices in addressing affordability and access to ICTs in the informal sector, ranging from introducing competition and removing import duties on prepaid airtime, to supporting mobile application development for informal businesses in general.

This paper uses primary data that allow a better understanding of informal businesses and their use of and access to ICTs. It adds to the literature on the informal sector in which Africa's poor find their livelihood and from which base the formal economy operates.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

This study conducts a systematic review using 452 academic and industry articles from an initial set of 60,899 records obtained by 3 databases from 2012 to 2020. The authors compare and contrast blockchains with existing legacy systems. The authors identify existing regulation, accounting standards, guidelines and potential amendments in under-explored areas such as taxation, accounting treatment of crypto-assets/liabilities and detailed auditing procedures. The study aims to highlight the trends, differences and gaps between academic and industry literature. The authors provide a behavioral, social, cultural, organizational, regulatory, ethical, accountability and managerial perspectives of blockchain adoption in accounting. Finally, the study develops two adoption frameworks.

The authors' study follows (Moher et al., 2009) and (Briner and Denyer, 2012) methodology to conduct the systematic review and the steps are mentioned below. The authors construct a final sample of 452 from a preliminary search of three multi-disciplinary databases from 2012 to 2020. First, the authors motivate the review and formulate the research questions. Second, the authors aggregate relevant literature from both industry and academia and implement quality assessments. Third, the authors analyze the literature and construct the final sample of articles. Fourth, the authors conducted textual analysis, keyword frequencies and identify gaps, trends and similarities between academic and industry literature and develop the authors' frameworks

The authors identify 3 (ABDC, B and A* ranked) journals as publishing top article numbers with the highest article count for 2017 with 96 articles in academia and 2019 for the industry with 21 articles. Second-highest publications for academia occur in 2018 with 77 followed by, whereas in the industry, publications occur in the year 2016 with 16 articles. Two co-authors appear most popular with 103 articles. Word clouds, a mind map and article theme counts are used to identify nine key research clusters: data management, financial applications, sustainability, accounting and auditing, business and industrial, education, governance, privacy/security and disruptive technology.

Systematic reviews can have selection biases mainly due to search and selection criteria distortions when constructing the final sample of articles. The authors address selection bias by refining our search keyword combinations by using different permutations and using keywords from articles already collected. The authors employ three databases and review the reference list of articles collected to add more articles that may have been missed into our sample. In addition, to avoid inconsistent coding of domains/themes and interpretations, the authors carefully review our domain identifications and all our analysis twice independently using two research assistants to obtain the same conclusions.

The authors' unique contributions include reviewing additional papers, differentiating between industry, academic articles, common trends and gaps in much scattered prior literature. The authors identify existing accounting standards, guidelines, limitations and possible amendments required in future for blockchain adoption in accounting in taxation, accounting treatment of crypto-assets/liabilities and detailed audit procedures. Blockchains are compared with legacy accounting technologies and two frameworks for adoption developed. The authors' results could impact the understanding of existing regulation, accounting standards, future amendments, areas requiring clarity and future collaborative research between academia and industry across multi-disciplines. Practical implications to academics, professional bodies, regulators and industry practitioners exist.

The authors' study identifies significant implications on organizations, environment, culture and society in general. The authors identify that social engagement projects may be easily initiated and implemented with decentralized accounting information systems. Transparency and efficiency would change organization culture, ways accountants and even employees interact with each other and community. Anonymity in blockchains can be used for criminal activities. Coding of negative social dynamics to smart contracts may persist. Transparency of personally identifiable information may place individuals at risk. Regulation and standards would need to identify equity, ethics in blockchains which notwithstanding energy consumption, and could enable environmental protection increasing societal sustainability.

To the authors' knowledge, this is the first study that compares academic and industry literature of 452 articles to identify gaps and similarities from 2012 to 2020 using three multi-disciplinary databases. The authors' study is the first study to in detail existing accounting standards, unclear areas, future amendments for International Financial Reporting Standards (IFRS) standards on taxation, financial reporting and all aspects of auditing procedures. The authors further categorize prior literature into these key areas and develop two frameworks (DAERPS and DAIS) that are linked to our review results and prior literature. The authors identify the impact of blockchain adoption on key stakeholders, regulation, society, culture, organization, accountability and ethics.