The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19
Abstract
:1. Introduction
2. Literature Review
The Computer-Assisted Audit Tools and Techniques (CAATT)
3. Underpinning Theory and Hypotheses Development
3.1. Relative Advantage
3.2. Complexity
3.3. Compatibility
3.4. Trialability
3.5. Observability
3.6. CAATTs Usage and Internal Audit Tasks’ Effectiveness
3.7. Auditors’ IT Knowledge Moderates the Relationship between CAATTs Use and Internal Audit Task Effectiveness
4. Methodology
4.1. Measurement of Variables
4.2. Data Analysis Technique
5. Result
5.1. Measurement Model
5.2. Structural Model
6. Discussion
7. Limitations and Future Research
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Construct | Operational Definition | Measurement |
---|---|---|
CAATTs’ Usage | CAATTs’ Usage are specialized software applications used by internal auditors in the public sector to automate and streamline audit processes and to perform audit procedures, such as data analysis, data extraction, and data transformation, to enhance internal audit efficiency, effectiveness, and accuracy. | Calculated by totaling the product scores of CAATT applications. Product score of a specific CAATT application: Percentage of audit task conducted using (a) audit automation, (b) generalized audit software, (c) database SQL search & retrieval, (d) test data, (e) parallel simulation software, or (f) embedded audit modules, scaled as 1: 0% (never use at all), 2: 1–15%, 3: 16–30%, 4: 31–45%, 5: 46–60%, 6: 61–75%, and 7: 76–100% (extensively used) [9,118]. |
Relative Advantage | Relative advantage is a concept used in innovation theory to describe the degree to which an innovation (CAATTs) is perceived as being better than the status quo or alternative solutions in terms of its benefits and advantages for the internal audit of the public sector. | Four items measured this construct, adapted from Venkatesh and Bala [118], including: (1) CAATT will improve audit efficiency through reduced paperwork during COVID-19, (2) CAATT will increase internal audit departments productivity during COVID-19, (3) CAATT will reduce error rates in the audit process during COVID-19, (4) CAATT will help reduce cost in auditing operations during COVID-19. |
Compatibility | Compatibility is a concept used in innovation theory to describe the degree to which an innovation (CAATTs) is perceived as being consistent and aligned with the existing system, practices, and values of its potential users. | Three items measured this construct, adapted from Venkatesh and Bala [118], including: (1) CAATT are compatible with our institution work procedures, (2) CAATT will fit in well with internal auditors’ tasks in performing audits during COVID-19, (3) CAATT are compatible with our department’s current ways of carrying out audits during COVID-19. |
Trialability | Trialability is a concept used in innovation theory to describe the degree to which an innovation (CAATTs) is perceived as being easy to experiment with and evaluate before being fully adopted in the public sector. | Four items were also used to measure the trialability (TRL) of CAATTs, adopted from Venkatesh and Bala [118]. The items state that: (1) Our institution has ample opportunity to test different CAATTs during COVID-19, (2) CAATTs during COVID-19 are available in the institution for software testing, (3) Prior to CAATTs use decision, our institution had the opportunity to test them out, and (4) Our institution was allowed to use CAATTs on a trial basis to see what it they could offer during COVID-19. |
Complexity | Complexity is a concept used in innovation theory to describe the degree to which an innovation (CAATTs) is perceived as difficult to understand and use by internal auditors in the public sector (potential users). | Five items measured this variable, adapted from Moore and Benbasat [29], including: (1) CAATTs during COVID-19 are difficult to understand, (2) CAATTs during COVID-19 are technically-complex audit tools, (3) it is difficult for internal auditors to use CAATTs in auditing during COVID-19, (4) using CAATTs during COVID-19 requires a lot of mental effort, (5) learning to operate CAATTs during COVID-19 is hard for internal auditors. |
Observability | Observability is a concept used in innovation theory to describe the degree to which the outcomes and benefits of an innovation (CAATTs) can be observed, measured, and communicated to others. | Three items, adopted from Venkatesh and Bala [118], were used to measure observability (OBSR), and they were: (1) Our institution has observed what others can do with CAATTs during COVID-19, (2) Our institution can easily observe other firms use of CAATTs during COVID-19, (3) Our institution has had several opportunities to observe the use of CAATTs during COVID-19. |
IT knowledge | IT knowledge is the degree to which an internal auditors has the necessary skills, expertise, and understanding to effectively use and manage IT tools and systems. | Five items measured this variable, adapted from Thong [119], including: (1) Our internal auditors are IT literate, (2) Our internal auditors’ understanding of CAATTs is very good, (3) Our institution has at least one internal auditor who is a CAATTs expert, (4) Our internal auditors know how to operate CAATTs, (5) our internal auditors have experience with CAATTs. |
Internal audit tasks effectiveness | Internal audit tasks effectiveness is the degree to which the internal audit function performs its tasks with due professional care and in accordance with auditing standards, resulting in the provision of reliable and relevant information to the organization’s management and stakeholders. | 15 measurement items were adopted from Alzeban and Gwilliam [120], and they cover the development of the organization’s productivity, the capability to plan, assessment of the compatibility between the results and assigned objectives, valuation and improvement of risk management, response to internal audit recommendations, internal control systems assessments, and recommendations for improvements. |
Construct | Item | Loading | AVE | Composite Reliability | Cronbach’s Alpha |
---|---|---|---|---|---|
CAATT Usage | CAATTU | 1 | 1 | 1 | 1 |
IADZ | IADZ | 1 | 1 | 1 | 1 |
Relative Advantage | RA1 | 0.729 | 0.51 | 0.91 | 0.89 |
RA2 | 0.773 | ||||
* RA3 | 0.564 | ||||
RA4 | 0.713 | ||||
Complexity | * CMPX1 | 0.481 | 53 | 0.84 | 0.79 |
CMPX2 | 0.718 | ||||
CMPX3 | 0.728 | ||||
CMPX4 | 0.744 | ||||
CMPX5 | 0.791 | ||||
Compatibility | CPTB1 | 818 | 0.64 | 0.77 | 0.74 |
CPTB2 | 0.821 | ||||
CPTB3 | 0.704 | ||||
Trialability | TRL1 | 878 | 0.71 | 0.90 | 0.88 |
TRL2 | 0.809 | ||||
TRL3 | 0.705 | ||||
TRL4 | 0.862 | ||||
Observability | OBSR1 | 0.784 | 0.67 | 0.93 | 0.92 |
OBSR2 | 0.831 | ||||
OBSR3 | 0.914 | ||||
Internal audit tasks’ effectiveness | * IATE1 | 0.432 | 0.50 | 0.88 | 0.87 |
IATE2 | 0.657 | ||||
IATE3 | 0.703 | ||||
IATE4 | 0.634 | ||||
IATE5 | 0.628 | ||||
IATE6 | 0.706 | ||||
IATE7 | 0.718 | ||||
IATE8 | 0.758 | ||||
IATE9 | 0.754 | ||||
IATE10 | 0.739 | ||||
IATE11 | 0.719 | ||||
* IATE12 | 0.464 | ||||
* IATE13 | 0.582 | ||||
* IATE14 | 0.537 | ||||
IATE15 | 0.726 | ||||
IT knowledge | ITK1 | 0.768 | 0.50 | 0.76 | 0.79 |
ITK2 | 0.731 | ||||
ITK3 | 0.626 | ||||
* ITK4 | 0.395 | ||||
* ITK5 | 0.448 |
Construct | CAAT-TU | RA | CMPX | CPTB | TRL | OBSR | IATE | ITK |
---|---|---|---|---|---|---|---|---|
CAATTU | 1 | |||||||
RA | 0.73 | 0.86 | ||||||
CMPX | 0.51 | 0.75 | 0.77 | |||||
CPTB | 0.60 | 0.71 | 0.63 | 0.79 | ||||
TRL | 0.59 | 0.08 | 0.71 | 0.64 | 0.81 | |||
OBSR | 0.46 | −0.07 | 0.59 | 0.71 | 0.77 | 0.89 | ||
IATE | 0.41 | 0.53 | 0.58 | 0.63 | 0.73 | 0.71 | 0.78 | |
ITK | 0.52 | 0.60 | 0.54 | 0.71 | 0.41 | 0.36 | 0.53 | 0.74 |
Hypothesis Testing | Path Coefficient | t Statistics | p-Values | Result |
---|---|---|---|---|
H1: RA → CAATTU | 0.311 | 3.96 | 0.000 ** | Supported |
H2: CMPX → CAATTU | 0.061 | 3.27 | 0.168 ** | Not supported |
H3: CPTB → CAATTU | 0.252 | 3.83 | 0.000 ** | Supported |
H4: TRL → CAATTU | 0.210 | 0.963 | 0.001 ** | Supported |
H5: OBSR → CAATTU | 0.264 | 4.27 | 0.000 ** | Supported |
H6: CAATTU → IAE | 0.237 | 3.83 | 0.000 ** | Supported |
Indirect effect model | ||||
H7: ITK × CAATTU → IAE | 0.171 | 2.163 | 0.042 * | Supported |
Note: CAATTU—CAATT usage; RA—relative advantage; COM—compatibility; CPLX—complexity; IATE—internal audit tasks’ effectiveness; AITK—auditors’ IT knowledge. | ||||
percent |
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Lutfi, A.; Alqudah, H. The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19. Sustainability 2023, 15, 7704. https://doi.org/10.3390/su15097704
Lutfi A, Alqudah H. The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19. Sustainability. 2023; 15(9):7704. https://doi.org/10.3390/su15097704
Chicago/Turabian StyleLutfi, Abdalwali, and Hamza Alqudah. 2023. "The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19" Sustainability 15, no. 9: 7704. https://doi.org/10.3390/su15097704
APA StyleLutfi, A., & Alqudah, H. (2023). The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19. Sustainability, 15(9), 7704. https://doi.org/10.3390/su15097704