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All Journal Al-Mal:Jurnal Akuntansi dan Keuangan Islam International Journal of Accounting and Management Information Systems
Simon, Chosani
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Accounting Knowledge Behavior, Recording Behavior, and Revenue: The Moderating Role of Cultural Behavior Situmorang, Dokman Marulitua; Freitas, Jorge Ribeiro; Gumbo, Lilian; Simon, Chosani; Parashakti, Ryani Dhyan
Al-Mal: Jurnal Akuntansi dan Keuangan Islam Vol. 5 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/al-mal.v5i2.23955

Abstract

The primary aim of this study is to investigate the influence of accounting knowledge and recording practices on the revenue of micro, small, and medium-sized enterprises (MSMEs), while considering cultural behavior as a moderating factor. Employing a quantitative research approach, the study utilizes Partial Least Squares (PLS) analysis to explore the relationships between the variables of interest. The population consists of various MSMEs, from which a representative sample is selected to ensure the findings are generalizable. PLS software is used for data analysis, facilitating accurate assessments of the validity and reliability of the constructs involved. The results reveal that all indicators related to the latent variables have P values less than 0.05, confirming their reliability and validity, with each indicator demonstrating a significant direct impact on revenue. Importantly, the study finds that cultural behavior moderates the relationship between accounting knowledge and revenue, highlighting the critical role of cultural factors in influencing financial outcomes. However, the research acknowledges certain limitations, such as potential biases in self-reported data and challenges in generalizing results across different cultural contexts. Future research could build on these findings by exploring additional moderating factors and employing longitudinal designs to gain deeper insights into the dynamics at play.
Conversational artificial intelligence (AI) and bank operational efficiency Gumbo, Lilian; Mashizha, Margaret; Simon, Chosani; Phiri, Phillipa
International Journal of Accounting and Management Information Systems Vol. 1 No. 2 (2023): August
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijamis.v1i2.1915

Abstract

Purpose: The main objective of the research was to analyse the effects of conversational artificial intelligence (AI) on bank operational efficiency. The emergency of conversational artificial intelligence (AI) has revolutionised the way business interacts with its customers. Research methodology: The study employed a mixed- method approach where interviews and questionnaires were used to collect qualitative and quantitative data. A sample of 92 bank employees was drawn from ten Zimbabwean banks. Results: Conversational AI has a positive impact on banking operational efficiency. Specifically, conversational AI improves customer services by providing faster and more accurate responses to customer inquiries, reduces operational costs by automating routine tasks and improve workflow efficiency. Conclusion: Conversational AI significantly improves banking operational efficiency by automating routine tasks, enhancing customer service, and reducing costs. It streamlines processes and delivers accurate, real-time responses, reinforcing the value of its integration in banking operations. Broader research across regions and sectors is suggested to validate these findings further. Limitations: The study concentrated on the banking industry of one particular country. Contribution: The study makes a significant contribution in understanding the advantages of adopting conversational artificial intelligence in banking operations.
Conversational artificial intelligence (AI) and bank operational efficiency Gumbo, Lilian; Mashizha, Margaret; Simon, Chosani; Phiri, Phillipa
International Journal of Accounting and Management Information Systems Vol. 1 No. 2 (2023): August
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijamis.v1i2.1915

Abstract

Purpose: The main objective of the research was to analyse the effects of conversational artificial intelligence (AI) on bank operational efficiency. The emergency of conversational artificial intelligence (AI) has revolutionised the way business interacts with its customers. Research methodology: The study employed a mixed- method approach where interviews and questionnaires were used to collect qualitative and quantitative data. A sample of 92 bank employees was drawn from ten Zimbabwean banks. Results: Conversational AI has a positive impact on banking operational efficiency. Specifically, conversational AI improves customer services by providing faster and more accurate responses to customer inquiries, reduces operational costs by automating routine tasks and improve workflow efficiency. Conclusion: Conversational AI significantly improves banking operational efficiency by automating routine tasks, enhancing customer service, and reducing costs. It streamlines processes and delivers accurate, real-time responses, reinforcing the value of its integration in banking operations. Broader research across regions and sectors is suggested to validate these findings further. Limitations: The study concentrated on the banking industry of one particular country. Contribution: The study makes a significant contribution in understanding the advantages of adopting conversational artificial intelligence in banking operations.
Co-Authors Freitas, Jorge Ribeiro Gumbo, Lilian Mashizha, Margaret Phiri, Phillipa Ryani Dhyan Parashakti Situmorang, Dokman Marulitua