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Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show the usage of this information in financial decision processes.

Need for the Study: Main financial reports such as balance sheets and income statements can be analysed by statistical methods. However, an expanded financial reporting framework needs new analysing methods due to unstructured and big data. The study offers a solution to the analysis problem that comes with non-financial reporting, which is an essential communication tool in corporate reporting.

Methodology: Text mining analysis of annual reports is conducted using software named R. To simplify the problem, we try to predict the companies’ corporate governance qualifications using text mining. K Nearest Neighbor, Naive Bayes and Decision Tree machine learning algorithms were used.

Findings: Our analysis illustrates that K Nearest Neighbor has classified the highest number of correct classifications by 85%, compared to 50% for the random walk. The empirical evidence suggests that text mining can be used by all stakeholders as a financial analysis method.

Practical Implications: Combining financial statement analyses with financial reporting analyses will decrease the information asymmetry between the company and stakeholders. So stakeholders can make more accurate decisions. Analysis of non-financial data with text mining will provide a decisive competitive advantage, especially for investors to make the right decisions. This method will lead to allocating scarce resources more effectively. Another contribution of the study is that stakeholders can predict the corporate governance qualification of the company from the annual reports even if it does not include in the Corporate Governance Index (CGI).

The study contributes to the literature on public value and performance examining politicians’ and managers’ perspectives by investigating the importance they attach to the different facets of performance information (i.e. budgetary, accrual based- and non-financial information (NFI)).

We survey politicians and managers in all Italian municipalities of at least 80,000 inhabitants.

Overall, NFI is more appreciated than financial information (FI). Moreover, budgetary accounting is preferred to accrual accounting. Politicians’ and managers’ preferences are generally aligned.

NFI as a measure of public value is not alternative, but rather complementary, to FI. The latter remains a fundamental element of public sector accounting due to its role in resource allocation and control.

The preference for NFI over FI and of budgetary over accruals accounting suggests that the current predominant emphasis on (accrual-based) financial reporting might be misplaced.

Public value and performance are multi-faceted concepts. They can be captured by different types of information and evaluated according to different criteria, which will also depend on the category of stakeholders or users who assesses public performance. So far, most literature has considered the financial and non-financial facets of performance as virtually separate. Similarly, in the practice, financial management tends to be decoupled from non-financial performance management. However, this research shows that only by considering their joint interactions we can achieve an accurate representation of what public value really is.

Part II contrasts the views of materiality in the Conceptual Frameworks of the IASB, FASB, IPSAS, and other framework such as the Integrated Reporting. In particular, it analyzes at what level and how differently that concept interacts with the qualitative characteristics of financial information in each of those frameworks. It looks at its pervasiveness and entity specificity, the interlock with the concept of relevance, reliability and faithful representation, completeness, understandability, neutrality, and drills down to the link to recognition.

This part then compares the definitions of materiality in different standards and contexts, to then draw a taxonomy of materiality and its attributes, such as the subject matter, thecontext of assessment, the addressees, the assessor, and the materiality test. A large part of the analysis involves the comparison between legal definitions of materiality and characterizations in the accounting, financial, and larger management contexts.

The digital economy has significantly altered the way business is conducted and financial information is communicated. A rapidly growing number of organizations are conducting business and publishing business and financial reports online and in real-time. Real-time financial reporting is likely to necessitate continuous auditing to provide continuous assurance about the quality and credibility of the information presented. The audit process has, by necessity, evolved from a conventional manual audit to computer-based auditing and is now confronted with creating continuous electronic audits. Rapidly emerging information technology and demands for more timely communication of information to business stakeholders requires auditors to invent new ways to continuously monitor, gather, and analyze audit evidence. Continuous auditing is defined here as “a comprehensive electronic audit process that enables auditors to provide some degree of assurance on continuous information simultaneously with, or shortly after, the disclosure of the information.” This paper is based on a review of related literature, innovative continuous auditing applications, and the experiences of the authors. An approach for building continuous audit capacity is presented and audit data warehouses and data marts are described. Ever improving technology suggests that the real-time exchange of sensitive financial data will place constant pressure on auditors to update audit techniques. Most of the new techniques that will be required will involve creation of new software and audit models. Future research should focus on how continuous auditing could be constantly improved in various auditing domains including assurance, attestation, and audit services.

This study analyses the scope of social and environmental reporting from the perspective of integrating it in financial reporting and comments on a new approach regarding the presentation of social and environmental information in the annual reports from Romanian companies’ perspective.

A literature review introduces and justifies the second part of the research. The latter is organised as an exploratory study based on interviews. It presents the current state of Romanian companies’ availability for reconsidering financial reporting from the perspective of corporate social responsibility.

While social and environmental involvement of Romanian companies is at an early stage, there is a basis for future development of corporate reporting by addressing social and environmental aspects. We noticed that companies have the tendency of responding rather to a mandatory framework than a voluntary one.

The limitations of the research are linked to the study population. The small number of Romanian companies that publicly manifest interest for social responsibility determined the choice of a qualitative instead of a quantitative research.

The exploratory study based on the case of Romania accompanies the present state of non-financial versus financial reporting in order to highlight measurable and non-measurable, but relevant, information to be considered in a future reporting framework.

The study advances new lines in accounting research by confronting the national and international perspectives of social and environmental reporting. Debates and arguments on the research results add value and utility to the research.

The increasing availability of eXtensible Business Reporting Language (XBRL) financial statements motivates additional investigation of whether XBRL’s search-facilitating technology (SFT) and enhanced viewing capabilities facilitate information search and improve financial analysis decision quality and efficiency. This experiment investigates how using XBRL technology to view financial statements influences novice investors’ decision quality by affecting decision processes such as search strategy and effort, as well as decision efficiency (accuracy/effort) in a financial statement analysis task. In the experiment, randomly assigned student participants (n = 102) invested in companies using either static PDF-formatted or XBRL-enabled financial statements. No differences in decision quality (i.e., accuracy) due to technology use were observed. However, participants in the XBRL condition examined less information, used more directed search processes, and evidenced greater efficiency than did participants assigned to the PDF condition. Hence, the results suggest that XBRL SFT affects the use of differing decision processes relative to PDF technology.

The purpose of this chapter is to discuss the relation between tax reporting and financial reporting, their influence on transparency, and empirical implications.

Investors frequently make judgments and decisions in the presence of affect (i.e., mood or emotion). Investors' moods may influence the extent to which they incorporate available financial information in their investment judgments. I propose that investors interpret their moods as signals of the extent to which financial information should be processed to make investment judgments, but only when other, more direct signals regarding the need for in-depth processing are unavailable. Consistent with research in psychology, my experimental results suggest that investors experiencing positive mood exert less effort to process available financial information than investors experiencing negative mood. Consequently, positive mood results in lower-quality financial judgments in my setting. However, when investors receive cues suggesting that initially received information is subjective, the effect of mood on effort to process financial information is mitigated. Overall, my results suggest that factors associated with positive investor mood (e.g., positive market sentiment) reduce the depth of investor analysis and lower judgment quality absent signals regarding the subjectivity of financial information.

This study investigates how disclosure of the board of directors’ leadership and role in risk oversight (BODs oversight disclosure) influences investors’ judgments when information on risk exposures is disclosed. The theoretical lens through which we examine this issue involves negativity bias. Sixty-two stock market investors who engage in the evaluation and/or investment of stocks on a regular or professional basis participated in our study. Our results reveal that the addition of BODs oversight disclosure (positive information) does not carry significant weight on investor judgments (i.e., attractiveness and investment) when financial statement disclosures indicate a high level of operational and financial risk exposures (negative information). In contrast, under the condition of a low level of risk exposures, BODs oversight disclosure causes investors to assess higher risk in terms of worry, catastrophic potentials and unfamiliarity about risk information and, in turn, make less favorable investor judgments. Our findings add to the literature on negativity bias and contribute to the debate on the usefulness of disclosures about risk.