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Auditors’ skills and knowledge of data analytics and big data can influence their judgment at the audit planning stage. At this stage, the auditor will determine the level of audit risk and estimate how long the audit will take. This study aims to test whether big data and data analytics affect auditors’ judgment by adopting the cognitive fit theory.

This was an experimental study involving 109 accounting students as participants. The 2 × 2 factorial design between subjects in a laboratory setting was applied to test the hypothesis.

First, this study supports the proposed hypothesis that participants who are provided with visual analytics information will rate audit risk lower than text analytics. Second, participants who receive information on unstructured data types will assess audit risk (audit hours) higher (longer) than those receiving structured data types. In addition, those who receive information from visual analytics results have a higher level of reliance than those receiving text analytics.

This research has implications for external and internal auditors to improve their skills and knowledge of data analytics and big data to make better judgments, especially when the auditor is planning the audit.

Previous studies have examined the effect of data analytics (predictive vs anomaly) and big data (financial vs non-financial) on auditor judgment, whereas this study examined data analytics (visual vs text analytics) and big data (structured and unstructured), which were not tested in previous studies.

Data analytics can change the working of advisory services (AS) that internal auditors routinely carry out. Not getting psychological support from employers and co-workers can cause internal auditors to be reluctant to use data analytics. Based on trait activation theory, this study aims to examine the mediating effect of data analytics on the relationship between organizational psychological safety (OPS) and AS.

The authors surveyed inspectorate auditors in government ministries and institutions who are internal government auditors in Indonesia. This study applied the partial least square structural equation modeling method to test the hypothesis. The total respondents involved in this study were 103 auditors.

There are two main findings in this study. First, OPS has a direct effect on AS. Second, data analytics mediates the relationship between OPS and AS.

This study’s finding has implications for leaders in ministries and government agencies to provide psychological support so that inspectorate auditors increasingly take advantage of data analytics in the process of AS that are always carried out.

To the best of the authors’ knowledge, this is the first study to examine the mediating effect of data analytics on the relationship between OPS and AS.

Government institutions in Indonesia have implemented an integrity system as a strategy to prevent fraud and corruption by integrating the risk management and organizational ethics. This integration is important to increase the awareness of fraud in the organization. Based on self-determination theory, this study examines the mediating effect of fraud awareness on risk management and integrity systems.

The study was carried out by using a quantitative approach. The participants of the survey were auditors of the inspectorate of Ministries and Government Agencies in Indonesia. The number of respondents was 103 auditors. The hypothesis testing method used the partial least squares structural equation modeling (PLS-SEM) approach. The data were processed by using WarpPls 7.0 software.

There are two main results in this study. First, risk management directly affect the integrity of the system. Second, fraud awareness mediates the relationship between risk management and integrity systems.

The result of this study implicates the policymakers in Ministries and Government Agencies in Indonesia to increase organizational fraud awareness through the involvement of internal audits with risk management. The fraud awareness will greatly improve the performance of the integrity system.

This is the first study examined fraud awareness of integrity systems and risk management. This study can enrich the literature on internal audits, especially the duties of auditors with risk management.

Research on technology acceptance of online entertainment with age, gender and cultural factors as moderator, is rarely conducted. Previous research predominantly focused on age or gender as moderator, neglecting the influence of cultural factors. Therefore, this study aims to investigate acceptance of online entertainment technology, incorporating age, gender and cultural factors as moderator.

Data were collected through a survey comprising 1,121 individuals aged 14–24 years from three cities in Indonesia. The proposed theoretical model examined the causal effect of acceptance and moderating effects due to individual gender, age, power distance, individualism, feminism and uncertainty avoidance (AU). Subsequently, structural equation modeling was used to evaluate the theoretical model, and the results confirmed several findings from previous research.

The findings confirmed the positive direct impact of habit and price value (PV) on behavioral intention and hedonic motivation, as well as social influence on habit. The recent findings derived from the moderating effect analysis showed that age, individualism and feminism played a moderating role in the effects on individual intention due to habit. Additionally, gender and AU moderated the effects on individual habits due to hedonic motivation.

This research contributes to the limited knowledge of technology acceptance of online entertainment, and also integrates the causal effects of individual intention due to habit, PV, hedonic motivation and social influence, considering the moderating role of culture, age and gender. Consequently, the investigation provides valuable insights into the literature by presenting evidence of age, gender and cultural differences in acceptance. Furthermore, it offers practical guidance to online entertainment application developers on designing applications to satisfy consumers of different ages, genders and cultures.

This paper aims to investigate the risk of corruption in several countries based on the cultural dimensions of Hofstede and institutional quality (IQ).

Data was collected from the Corruption Perception Index, Hofstede index and Worldwide Governance Indicators in 92 countries. Structural equation modeling based on partial least squares was used to test the proposed model.

The findings support the fraud triangle theory, which states that high transparency of individualist cultural attitudes and institutional control mechanisms reduces the opportunities for fraud to occur. From this research, it is also concluded that culture is a factor that tends to be constant and difficult to change.

Research limitations include: First, it is limited to the number of samples, where the number of samples depends on the availability of data. However, only 92 countries intersect and have complete information. Second, this study only uses individualism from the Hofstede cultural dimension to see the risk of corruption.

The result of this study implicates the policymakers in government agencies to increase IQ to reduce the risk of corruption.

This is a preliminary study that discusses national culture (NC) and corruption, as well as the effect of the mediating variable, namely, the IQ. By including IQ, the authors hope that the impact of the effects of NC on corruption risk can be clarified.