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      Assessing the effectiveness of accounting information systems in the era of COVID-19 pandemic

      VINE Journal of Information and Knowledge Management Systems
      Emerald

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          Abstract

          Purpose

          This study aims to evaluate the Accounting Information Systems (AIS) effectiveness on the organizational level by extending DeLone and McLean success model in developing countries like Jordan. Unlike other studies, this study investigates the effects of system quality, information quality, process quality, collaboration quality, service quality, individual performance and workgroup performance toward organizational performance during the period of the COVID-19 pandemic outbreak.

          Design/methodology/approach

          A self-administrated survey was used to collect data from 104 accounting managers operating in listed Jordanian firms in the Amman Stock Exchange (ASE). The partial least squares-structural equation modeling method was used for data analysis.

          Findings

          Eight relationships were tested, whereby six were supported as was expected. Particularly, the empirical results reveal that individual performance is positively and significantly influenced by information quality, process quality and service quality. Furthermore, workgroup performance is positively and significantly influenced by individual performance. The results also show that organizational performance is impacted by individual performance and workgroup performance.

          Originality/value

          The current study is among the first empirical studies that has extended the information systems success model to evaluate AIS success during COVID-19 pandemic. This study also offers insights into the importance of AIS success among listed Jordanian firms in ASE.

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          Most cited references83

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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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            PLS-SEM: Indeed a Silver Bullet

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              When to use and how to report the results of PLS-SEM

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                Author and article information

                Journal
                VINE Journal of Information and Knowledge Management Systems
                VJIKMS
                Emerald
                2059-5891
                2059-5891
                December 23 2021
                December 23 2021
                Article
                10.1108/VJIKMS-08-2021-0148
                aad93825-89b5-4992-be60-c8411da2de99
                © 2021

                https://www.emerald.com/insight/site-policies

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