Evaluation of the contribution of the automated accounting information system to the managerial decision-making process in the commercial bank of Bangladesh

Authors

  • Md. Shahnur Azad Chowdhury Department of Business Administration, Int'l Islamic Univercity Chittagong, Bangladesh.
  • Md Aminul Islam Faculty of Business and Communication, University Perlis Malaysia, Malaysia.
  • Md Shahidul Islam Bangladesh Forest Research Institute, Bangladesh.
  • Mohammad Jonaed Kabir Department of Business Administration, Int'l Islamic Univercity Chittagong, Bangladesh.
  • Maruful Islam Department of Business Administration, Int'l Islamic University Chittagong, Bangladesh.
  • Abdul Baes Muhammad Yasir Arafat Department of Computer Science and Engineering, Int'l Islamic University Chittagong, Bangladesh.
  • Sayema Hoque Department of Computer Science and Engineering, Int'l Islamic University Chittagong, Bangladesh.

DOI:

https://doi.org/10.33094/ijaefa.v18i3.1486

Keywords:

Accounting information systems, Contribution, Decision-making, Evaluation, Sporadic participation.

Abstract

Accounting Information Systems (AIS) are becoming widespread among Bangladeshi banks. The purpose of this study is to assess how automated AIS affects Bangladeshi commercial banks. Purposeful sampling and a randomized block design were used to disseminate questionnaires to 400 respondents from Chattogram, Bangladesh, a commercial port city. Five-point Likert scale close-ended questions assess eight aspects of AIS usage and benefits: infrastructure, technological resources, understanding ability, operational comparability, relevance, reliability, decision-making, and organizational performance. Descriptive analysis, Kolmogorov–Smirnov test, Shapiro-Wilk test, factor analysis with Kaiser-Meyer-Olkin test, Cronbach's alpha, one-sample Wilcoxon Signed Rank Test, Kendall's tau-b Correlation Coefficient, Mann-Whitney test, Kruskal-WallisH test, and structural equation model were performed using MS Excel 2016, IBM SPSS Statistics 26, and IBM SPSS. The model was validated using convergent and discriminant validity tests. The study found that technological resources, operational comparability, relevance, and dependability influence AIS-based decision-making, while infrastructure and understandability do not. Private banks and AIS-trained personnel make more AIS-based decisions than public banks and non-AIS-trained workers. Regular and frequent decision-makers use AIS more than sporadic decision-makers. There is no effect of gender or job experience on AIS-based decision-making. Finally, AIS-based decision-making improved organizational performance. Therefore, the study results may assist Bangladeshi commercial banks in adopting AIS.

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Published

27-03-2024

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Section

Articles