Contribution to accelerated internationalization with digital forensic accounting and metaverse circular business model innovation for Vietnam-based SMEs

被引:2
作者
Pham Quang Huy [1 ]
Vu Kien Phuc [2 ]
机构
[1] School of Accounting, University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City
[2] School of Accounting, University of Economics Ho Chi Minh City (UEH), Vinh Long Campus, Vinh Long city
关键词
Accelerated internationalization; Business model innovation; Circular economy; Forensic accounting; Metaverse;
D O I
10.1186/s13731-024-00442-z
中图分类号
学科分类号
摘要
This study endeavors to examine the relationship between digital forensic accounting (DFAC) and accelerated internationalization capabilities (AIC). The study posits that the relationship between DFAC and AIC is mediated by metaverse circular business model innovation (MCBMI). The data was collected from employees in small and medium enterprises (SMEs) in Vietnam employing a combination of convenience and snowball sampling approaches, utilizing a quantitative research design and deductive approach. SmartPLS version 4 software was employed to analyze the data using partial least squares-structural equation modeling. This investigation determined that AIC is insubstantially influenced by DFAC. Nevertheless, the relationship between DFAC and AIC is positively mediated by MCBMI. The findings of this investigation would function as a reliable foundation for future research endeavors, as well as for the advancement of scientific comprehension by expanding the current scope of this research line. From a practical perspective, these critical insights could facilitate the development of strategies that are specifically tailored to the implementation of circular business models, as well as policies and regulations that are pertinent to the incorporation of Metaverse platforms to enhance SMEs’ internationalization performance. © The Author(s) 2024.
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共 153 条
[1]  
Adomako S., Nguyen N.P., Digitalization, inter-organizational collaboration, and technology transfer, The Journal of Technology Transfer, (2023)
[2]  
Ahmed F.U., Brennan L., A review of methodological diversity within the domain of international entrepreneurship, Journal of International Entrepreneurship, 19, 2, pp. 256-299, (2021)
[3]  
Akinbowale O.E., Klingelhofer H.E., Zerihun M.F., Application of forensic accounting techniques in the South African banking industry for the purpose of fraud risk mitigation, Cogent Economics & Finance, 11, 1, pp. 1-22, (2023)
[4]  
Aksoy T., Uzay S., Relationship between fraud auditing and forensic accounting, Auditing ecosystem and strategic accounting in the digital era. Contributions to finance and accounting, pp. 127-146, (2021)
[5]  
Akter M.S., Bhuiyan M.R.I., Poli T.A., Hossain R., Web-based banking services on E-customer satisfaction in private banking sectors: A cross-sectional study in developing economy, Migration Letters, 20, S3, pp. 894-911, (2023)
[6]  
Al-Amin B., ). The adoption of Industry 4.0 technologies by using the technology organizational environment framework: The mediating role to manufacturing performance in a developing country, . Business Strategy and Development, 7, 2, pp. 1-17, (2024)
[7]  
Al Shehab N.A., Under the COVID Pandemic: Is It the Springtime for Forensic Accounting Field to Blossom?, Artificial Intelligence and COVID Effect on Accounting. Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application, pp. 11-32, (2022)
[8]  
Al-Emran M., Beyond technology acceptance: Development and evaluation of technology-environmental, economic, and social sustainability theory, Technology in Society, 75, pp. 1-11, (2023)
[9]  
Alenazi S., Alshokeeran S., Althaqeel S., ). Exploring Security, Privacy, and Forensics Concerns in the Metaverse, 2024 12Th International Symposium on Digital Forensics and Security (ISDFS), 29–30 April 2024, San Antonio, TX, USA., (2024)
[10]  
Alsadah N., Al-Sartawi A., Forensic accounting and cybersecurity: A literature review paper, Artificial intelligence, internet of things, and society 5.0. Studies in Computational Intelligence, 1113, pp. 235-244, (2023)