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The purpose of this study is twofold. On the one hand, it studies the impact of IFRS 9 adoption on the firm value; and on the other hand, it investigates the impact of the classification of financial assets on the firm value.

The study covers a sample of 55 listed banks in the Middle Eastern and North African (MENA) region. Data is collected for three years (2017–2019).

The findings show that banks’ value is not impacted by IFRS 9 adoption but by financial assets’ classification. Firm value is positively affected by fair value through other comprehensive income assets, while it is negatively affected by amortized cost and fair value through profit or loss assets. The results of the additional analysis show consistent outcomes.

This research reveals important managerial implications. Priority should be given to the financial assets’ classification strategy following the adoption of IFRS 9 to boost the market valuation of banks. It may be useful for investors, managers and regulators in their decision-making.

This study enriches previous research as IFRS 9 is a new standard, and its adoption consequences need to be investigated. A few recent studies have focused on IFRS 9 as a whole or on other parts of IFRS 9, namely, the impairment regime and hedge accounting and concern developed contexts. However, this research adds to the knowledge of capital market studies by investigating the application of IFRS 9 in terms of classification in the MENA region.

This study aims to investigate earnings management practice of classification shifting of revenues in Chinese-listed firms.

The study employs a dataset of 2,920 A-listed firms from Chinese stock exchanges of Shanghai and Shenzhen for the period of 2003–2019. We apply both univariate and panel regression analysis by using fixed effect estimation with robust standard errors.

Our findings reveal that firms misclassify revenues by taking advantage of the flexibility provided by applicable financial reporting standards. The empirical evidence obtained through regression analysis suggest that managers reclassify non-operating revenues as operating revenue to alter the economic reality while seeking the advantage of financial reports users’ vulnerability for valuing the upper half of income statement items more as compared to lower part. The results further indicate that international financial reporting standards adoption inhibits the earnings management practices using classification shifting of revenues. It is also concluded that firms, which are suffering losses or having low growth, are more persistently involved in misclassification of revenues.

The study is unique from the point of view that it investigates earnings management from the prospective of revenue’s classification in an emerging market characterized by various market imperfections such as lower investor protection and higher information asymmetry.

This study aims to develop a maturity model designed for assessing the current state of digitization in accounting firms.

The authors have developed this index where the maturity levels are defined from the life cycle theory. For the items of a maturity measure, the authors have adopted a multimethodological approach. That approach allows to identify 27 measurement items to cover the three dimensions of audit, reporting and taxation.

This research proposes a diagnostic tool specific to accounting firms. The authors have tested this index in the Tunisian context. The results show that there are two types of accounting firms. This study found the first firm in the embryonic phase and the other in the growth phase. This points out the active role of Tunisian accounting firms in technology integration.

This study highlights the integration of technology in the accounting field. Specifically, it aims to address technology management in accounting firms by measuring the degree of digitization of accounting firms. This research projects the use of information technologies (artificial intelligence, cloud, big data, etc.) in auditing, reporting and taxation.

On a practical level, this research provides an organizational diagnostic tool to assess the status of their accounting firms in terms of digitization. This will motivate practitioners to make frequent assessments, thus contributing to continuous improvement toward digitization.

The theoretical foundation of this research is based on the theory of the life cycle of technologies. This study is using this theory to identify and describe the current phase of the organization. And that is by indicating the overall scores on the technological capabilities of the accounting firms.

This article aims to contribute to the accounting knowledge literature by presenting the framework of creative accounting factors and evaluating their identified factors through an argumentation-based total interpretive structural modeling (TISM) approach.

This study adopted mixed, inductive and deductive approaches to develop an integrated framework, validate its practicability and verify its effectiveness in selected manufacturing firms listed on the Tehran Stock Exchange (TSE), respectively. In developing the framework and implementation procedure, the study employed an exploratory data collection (qualitative) approach to review the phenomenon of creative accounting factors. Then, in this study’s second phase, TISM is used to develop the framework of creative accounting design. This study used two types of theoretical sampling in the qualitative part, including theoretical and snowball sampling. Also, the participants in the TISM process in this study were specialized analysts of the TSE.

Based on the mixed method of this study, the result in the qualitative part provides the creative accounting framework of the existence of three categories. There are 6 components and 35 themes during 12 interviews. In the quantitative section, it was determined that two factors, namely the type of ownership firms and intrinsic objectivity, are the most effective drivers for the formation of creative accounting in TSE firms.

So far, it is rare to find preceding studies that have proposed, validated and practically tested an integrated creative accounting framework within the context of financial markets. Thus, the authors understand that this is the very first research focused on the development of a framework for capital market companies to continuously be competitive and could help financial decision-makers, practitioners and academicians in their perception of knowing more about the financial functions of firms.

This study aims to examine the diametrically opposite effects of probabilistic (risk) and nonprobabilistic uncertainty (ambiguity) on accounting conservatism.

This study uses panel regression models with year and industry-fixed effects. It uses financial and market data from the communication and energy sectors of 24 countries, encompassing 1,946 firms and 5,838 firm-year observations.

The study reveals that conservatism is a rational response to risk. However, in the presence of higher ambiguity where uncertainty exceeds firm control and outcomes become unpredictable, management reduces conservative accounting practices. Robustness tests support the validity of these findings across different institutional frameworks, agency risks, sample selection and heterogeneity.

This study contributes to the existing literature by exploring the contrasting effects of risk and ambiguity on accounting conservatism. It enhances the understanding of how various institutional factors influence the asymmetric recognition of bad news compared to good news under conditions of uncertainty.

By understanding the role of accounting conservatism in responding to uncertainties, regulators can develop more informed and effective policies that align with the dynamic nature of business environments.

This research provides novel and original ideas suggesting that the change in accounting conservatism is contingent upon the firms’ ambiguity or risk.

This paper applies a stakeholder salience theoretical framework to facilitate the understanding of the roles salient stakeholders can have in the integration of education for sustainable development, one of the important Sustainable Development Goals (SDGs), into Jordan’s university accounting education.

We used stakeholder salience theory to inform our study. This study adopted a qualitative research method. The study used semi-structured interviews to collect qualitative, open-ended data that explored the salient stakeholders’ thoughts, beliefs and feelings about their roles in influencing the integration of education for sustainable development into the Jordanian accounting curriculum.

The results indicate that education for sustainable development in accounting is important; however, most Jordanian salient stakeholders indicate their inability to integrate sustainable education into the accounting curriculum due to their lack of power to do so. The findings show that there is currently an inappropriate distribution of power, legitimacy and urgency amongst the salient stakeholders, who indicate that a progressive education solution is required in the critical area of education for sustainable development in accounting. This research indicates that a significant number of salient stakeholders would like the Jordanian government to provide power, legitimacy and urgency to enable accounting educators to become definite stakeholders as this will enable them to integrate sustainable education into the accounting curriculum.

The study is limited to Jordan only. The paper draws attention to the need for an appropriate distribution of power, legitimacy and urgency amongst salient stakeholders in Jordan.

This paper provides evidence that the salient stakeholders in this emerging economy want to make changes in their education system to address climate change concerns, an important SDG, through a better education curriculum for sustainable development in Jordanian universities.

Accounting educators should be given the power to make changes in the accounting curriculum, such as integrating education for sustainable development.

There is an inappropriate distribution of power, legitimacy and urgency amongst the Jordanian salient stakeholders and this imbalance hinders the integration of education for sustainable development into the accounting curriculum.

This cross-country study aims to investigate from an interdisciplinary perspective the impacts of the accounting regulation's strength and cultural values of long-term orientation (LTO) and indulgence (ND) on board efficacy in developing countries.

Board Efficacy Index scores for 54 developing countries over the period 2007–2016 were employed to ascertain predictors of management's accountability to boards of directors and investors. Two types of explanatory variables – formal and informal – were employed in a pooled Ordinary Least Squares (OLS) analysis.

The research is the first to empirically show that more LTO and ND in a country have significant and positive effects on board efficacy. The findings also show that the strength of auditing and reporting standards (SARS) has a dominant impact on board efficacy, and the SARS' consideration is recommended in future cross-country research on board efficacy.

To restore investor confidence and increase the credibility toward firms, regulatory authorities in developing countries are called upon to integrate compliance with accounting and auditing regulations combined with cultural values in the implementation of good governance practices.

This study contributes to the board efficacy literature in two significant ways. First, the study constructs and empirically tests a conceptual model that integrates both informal factors, the six cultural dimensions of Hofstede et al. (2010), and formal factors, the strength of accounting regulations. Second, conducting a study on a sample not widely used in the literature, over a fairly long period of time, highlights the governance characteristics of this context and strengthens the internal and external validity of the study.

Inaction inertia occurs when people are less likely to act on a similar but inferior option after missing a superior opportunity, compared to if they had not missed out. This study aims to explore how promotional formats and their sequence affect the inaction inertia effect in online shopping, under the assumption of economic equivalence.

The authors performed two online experiments and analyzed the data by analysis of variance.

The findings indicate that, under the premise of economic equivalence: Monetary promotions exhibit a higher inaction inertia effect on consumers than nonmonetary promotions. When consumers miss a more favorable promotion and subsequently encounter a relatively less attractive one presented in a different promotional format, the inaction inertia effect is lower than when reencountering the same promotion format. When consumers miss a better monetary promotion and presently encounter a relatively less attractive nonmonetary promotion, the inaction inertia effect is lower than when they miss a superior nonmonetary promotion and currently encounter a relatively less attractive monetary promotion.

This study reveals the sequence effects of promotional formats, indicating that nonmonetary promotions following monetary ones effectively reduce inaction inertia. A strategically sequenced set of formats enhances consumer recommendations, mitigating inaction inertia. These findings open new research paths, providing insights into the impact of promotional format sequences on the inaction inertia effect. Consequently, this knowledge helps e-retailers in implementing effective promotional strategies and driving online purchases.

This study aims to investigate the relation between corporate social responsibility (CSR) and disclosure transparency by examining over 12,000 disclosures of financial statements extending over 20 years. The purpose is to understand how CSR ratings relate to the level of disaggregation in financial statement line items. The study considers additional factors, such as firm size and governance, that can accentuate or moderate this relation.

This study applies regression analysis, including interactions, to test the magnitude of the relation between CSR ratings and disclosure transparency. CSR is measured as a composite score that ranks firms on their reputation over numerous indicators compiled by Morgan Stanley Capital International. Disclosure transparency is measured as the level of disaggregation in financial statement line items.

The study reveals evidence consistent with the notion that firms which are more CSR conscious are also more transparent with financial statements. Evidence shows that the level of transparency is more sensitive to changes in CSR for firms less CSR conscious. Firm size is found to moderate this relation, whereas enhanced governance accentuates it.

There is limited research on the relation between CSR ratings and disclosure transparency. To the best of the authors’ knowledge, this is the first empirical evidence on the relation between CSR ratings and the disaggregation of financial statement line items. Results from this study help us understand the drivers of disclosure transparency, which can aid regulators, investors and other stakeholders in knowing how such drivers impact managerial decisions on the disaggregation of financial statements. Accountants play a central role in producing transparent and disaggregated accounting disclosures, and their role is pivotal in effectively integrating CSR into accounting and reporting models.

The internet has completely merged into contemporary life. People are addicted to using internet services for everyday activities. Consequently, an abundance of information about people and organizations is available online, which encourages the proliferation of cybercrimes. Cybercriminals often use malicious links for large-scale cyberattacks, which are disseminated via email, SMS and social media. Recognizing malicious links online can be exceedingly challenging. The purpose of this paper is to present a strong security system that can detect malicious links in the cyberspace using natural language processing technique.

The researcher recommends a variety of approaches, including blacklisting and rules-based machine/deep learning, for automatically recognizing malicious links. But the approaches generally necessitate the generation of a set of features to generalize the detection process. Most of the features are generated by processing URLs and content of the web page, as well as some external features such as the ranking of the web page and domain name system information. This process of feature extraction and selection typically takes more time and demands a high level of expertise in the domain. Sometimes the generated features may not leverage the full potentials of the data set. In addition, the majority of the currently deployed systems make use of a single classifier for the classification of malicious links. However, prediction accuracy may vary widely depending on the data set and the classifier used.

To address the issue of generating feature sets, the proposed method uses natural language processing techniques (term frequency and inverse document frequency) that vectorize URLs. To build a robust system for the classification of malicious links, the proposed system implements weighted soft voting classifier, an ensemble classifier that combines predictions of base classifiers. The ability or skill of each classifier serves as the base for the weight that is assigned to it.

The proposed method performs better when the optimal weights are assigned. The performance of the proposed method was assessed by using two different data sets (D1 and D2) and compared performance against base machine learning classifiers and previous research results. The outcome accuracy shows that the proposed method is superior to the existing methods, offering 91.4% and 98.8% accuracy for data sets D1 and D2, respectively.