An empirical examination of AIS success at the organizational level in the era of COVID-19 pandemic

Hamood Mohammed Al‐Hattami · Nabil Ahmed Mareai Senan · Mohammed A. Al‐Hakimi · Syed Azharuddin

31 citations0/0 files storedGlobal Knowledge, Memory and Communication

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Abstract

Purpose This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era. Design/methodology/approach Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used. Findings The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era. Practical implications AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful. Originality/value This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1988On the Evaluation of Structural Equation Models 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update 1992Information Systems Success: The Quest for the Dependent Variable 2000Structural Equation Modeling and Regression: Guidelines for Research Practice 2009Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 2008Measuring information systems success: models, dimensions, measures, and interrelationships 2010Structural Equation Modeling in Information Systems Research Using Partial Least Squares

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