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This study examines the incentives motivating listed companies in Malaysia to voluntarily choose the Direct Method over the Indirect Method in reporting cash flow from operating (CFO) activities in their 1997 annual financial reports following the adoption of the IAS 7 (Revised) Statement of Cash Flows (SCF), which was used prior to the current standard MASB No. 5 Cash Flow Statement promulgated by the Malaysian Accounting Standards Board (MASB) in 1999. Adopting the signalling perspective, the general hypothesis of this study is that the choice of the Direct Method over the Indirect Method in reporting CFO activities is to maximize a firm’s value via engagement in quality signalling to the market. Specifically, it is hypothesised that such decision is influenced by the firm’s level of managerial efficiency, financial risk, size, its auditor, and industry membership. The sample consists of 231 firms listed on the Kuala Lumpur Stock Exchange; 32 firms in the treatment group (Direct Method) and 199 firms in the control group (Indirect Method). Based on the results from the univariate and multivariate analyses, we found all variables to be in the hypothesised directions. However, we infer that the decision to choose the Direct Method for reporting CFO activities in SCF is significantly influenced by the firm’s level of managerial efficiency, size, and its auditor. Thus, there is support for the general hypothesis of maximization of the value of the firm via quality signalling. The authors gratefully appreciate the helpful comments of the discussant and workshop participants at the 11th Asian‐Pacific Conference on International Accounting

The purpose of this paper is to reflect on the adoption of mixed methods in voluntary environmental reporting research.

The costs and benefits of mixed methods are outlined, and the use of mixed methods in prior voluntary environmental reporting research is discussed. A reflection of the author's experience and the practical issues of adopting a QUAN→qual sequential mixed methods research design to examine voluntary environmental reporting practices and processes are presented.

Adopting mixed methods research involves costs to the researcher and the research, including the extra time and energy needed to collect, analyse, interpret, integrate and write up the data, and the need to consider potential biases and trade‐offs affecting design choices. However, these costs are outweighed by the opportunity mixed methods research presents to develop greater research skills and provide a fuller and richer picture of voluntary environmental reporting.

The specific costs and benefits of adopting mixed methods research discussed in this paper are primarily limited to research designs involving content analysis and interviews due to the use of these research methods in the focal study and in most prior mixed methods research examining voluntary environmental reporting.

This paper is one of few to reflect on the adoption of mixed methods research to examine voluntary environmental reporting. It highlights to other researchers the research design considerations that should be made, the costs involved (both to the research and the researcher), and the improved contribution to knowledge achievable when adopting mixed methods research over alternative approaches.

This chapter focuses on the application of segment reporting under IFRS 8 in the context of the airline industry. It analyses the airlines’ disclosures related to segment reporting considering 11 aspects of segment reporting in the regional and global context. Observations reveal that reporting of segmental disclosures in the airline industry is diverse at different levels. In this regard, the following conclusions were drawn: (1) the nature of segments reported by the airlines is diverse due to methods adopted in preparation of operating segments; (2) factors such as internal reporting system, and nature of business used to identify the airline’s reportable segments were stated by most airlines; (3) types of products and services from which each reportable segment derives its revenues were stated by all airlines; (4) proportion of total revenues represented by separately reportable segments exceeds 75% of the revenue rule of IFRS 8; (5) most segmental performance measures are non-IFRS and diverse; (6) a limited number of airlines use dual reporting currency in segment reporting; (7) most airlines reported segment assets and liabilities for each reportable segment; (8) most airlines reported between 6 and 10 income and expense items in segment reporting; (9) segmental cash flow information is reported by one airline; (10) in terms of entity-wide disclosures, most airlines reported their revenue from major products and services in the revenue disclosures, most airlines reported their revenues on a geographical basis but few airlines reported their non-current assets on a geographical basis; and (11) more than half of the airlines did not declare the identity of the Chief Operating Decision Maker.

The study aims to investigate whether the adoption of IFRS could ensure ultimate intercompany comparability of operating performance in terms of uniformity in the application of accounting methods and reporting style.

Using content analysis on 125 annual financial statements of 25 companies from five industries listed on the Dhaka Stock Exchange in Bangladesh, this study reports that only the sole adoption and application of principle based IFRS cannot ensure ultimate intercompany comparability of financial reports.

The findings document that the adoption of IFRS cannot ensure the application of same accounting methods as well as way of presentations which is a precondition of greater comparability of operating performance of competitive firms. The methodological and reporting direction through local regulatory agencies alongside maximum compliance with principle based IFRS can enhance intercompany comparability of financial reports in the same industry.

This study tries to manifest that sole adoption cum implementation of IFRS could not ensure ultimate intercompany comparability of operating performance within the same industry and urges to conduct further research to find out the ways to do so.

The study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.

Methodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.

The study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.

Service scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.

No prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.

Structural equation modeling (SEM) is a data analysis method of choice for many empirical supply chain management (SCM) researchers. As the statistical technique has evolved, so have its applications and reporting guidelines. Consequently, there has been a lack of standardized reporting across the SCM literature. The purpose of this paper is to provide a basis for standardizing reporting conventions.

This paper presents a review of recent SEM methods literature. In addition, the authors content analyze articles from International Journal of Logistics Management, International Journal of Physical Distribution and Logistics Management, and Journal of Business Logistics that contained either covariance-based or partial least square structural equation models. Using the aforementioned literature review and content analysis, the authors compare and contrast what is currently reported in extant supply chain literature with suggested reporting protocols in the methods literature.

Based on the review and analysis, the authors suggest standardized reporting conventions for the use of SEM in SCM research. In addition, the findings suggest that much more could and should be reported with respect to the decision as to which SEM technique to employ.

This paper can serve as a useful checklist and set of references for scholars publishing SEM research in supply chain journals.

Traditional methods of assurance outlined by current professional standards are risk-based models where the emphasis is on the veracity of published data rather than on the rigour of the interpretation or analysis of information provided to users. As such, they are not well suited for expressing an opinion on qualitative, subjective or forward-looking assessments typically included in integrated reports. In this context, the purpose of this paper is to describe an alternate approach to assurance and identifies the initial elements of an “interpretive assurance model”.

The research is exploratory/interpretive. It relies on detailed interviews with experienced auditors and preparers to develop an initial approach for providing some level of assurance over an integrated report.

The research identifies elements of an interpretive assurance model which focusses on providing assurance on the interpretation and analysis of information included in an integrated report rather than on underlying data. These include an examination of the completeness of the explanation of the value creation process provided in an integrated report; the methods used to support management discussion and analysis; and the reasonability of the review process used to ensure the reliability of qualitative, subjective and forward-looking representations contained in an integrated report.

The study is conducted in a South African setting. While limiting the study to a single jurisdiction may be seen as a limitation, local preparers and auditors have had at least five years of experience with the application of an integrated reporting framework and are in a strong position to provide detailed insights.

An interpretive assurance model shifts the focus from objective verification of data using defined test procedures to evaluation of the interpretation and analysis process used to prepare an integrated report. Application of the proposed model will require practitioners and auditing students to be trained extensively in qualitative analytical techniques. The inherent complexity of contemporary business models and the multi-dimensional focus of integrated reports will also result in changes in the composition of audit teams which are currently dominated by experts in financial reporting rather than integrated or strategic business management.

The paper is the first to offer a practical approach for providing assurance over an integrated report. It responds to calls form the International Integrated Reporting Council and International Auditing and Assurance Standards Board for more innovative assurance models for addressing the reporting needs of contemporary organisations.

The study visualizes the link between environment accounting & triple bottom line, quantitative environmental reporting & standard method, voluntary environmental disclosure & legal requirement, size of company & volume of environmental disclosure, material flow analysis & life cycle assessment to achieve sustainable development in Bangladeshi corporation. Therefore, the purpose of the study is to investigate the role of these factors to achieve sustainable development in Bangladeshi corporation. To investigate the role of these factors, ten factors that significantly contribute to achieve sustainable development were determined. A set of closed-minded questionnaire was developed on the basis of these factors to collect the data from employees & employers. Questionnaire was administered by using statistical tools such as matrix, cross tabulation & Paired Samples Tests as a data collection tool and analyses. Research finding shows that sustainability of corporation was associated with the performance of economic, social, and environment. Other factors like quantitative environmental reporting, standard method, voluntary environmental disclosure, legal requirement, size of the company, volume of environmental disclosure, material flow analysis & life cycle assessment were found that they worked as a complement to enhance the performance of economic, social, and environment to achieve sustainable development in Bangladeshi corporation.

Risk reporting in financial reports has a positive impact on the company and its stakeholders. The purpose of this research is to present a literature review using the bibliometric method with the title we used is Risk Reporting, and the keywords are risk disclosure, risk reporting, stakeholders, and stakeholder theory. Data processing in this chapter uses Publish or Perish (PoP) software and Vos Viewers. This study uses the Google Scholar database. The researcher scanned the journal by using Scimagojr.com to view the journal quartile. Before the search was revised, there were 230 papers from 1991 to 2021 (30 years). Researchers will see the development of risk reporting from several sides, such as the country of origin of the researcher, the type of industry that reports risk, the research methods that have been used so far, and the analysis used for reporting risk.

GASB Statement No. 34 required state and local governments to report information regarding general infrastructure in financial statements, to improve understanding of the organization's investments in capital assets. Some proponents suggested that this information would affect management practices and potentially resource allocation decisions, but initial survey data found limited evidence of effects. We use dynamic panel analysis covering 47 states from 1995 to 2009 to explore whether implementation of GASB 34 affected state highway capital and maintenance spending. We find evidence of increased capital spending, but no statistically significant change in maintenance expenditures. The choice of reporting method was not found to affect spending outcomes.