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This study aims to examine several hypotheses, in conjunction with fundamental accounting concepts, to explain variations in the explanatory power of earnings for returns.

The authors explore three factors for their impact on the explanatory power of earnings. First, the accounting period preceding the earnings report is characterized by distinct intratemporal subperiod behavior. Recognizing this intratemporal nonstationarity is hypothesized to increase the explanatory power of earnings. Second, disaggregation of earnings into operating components is hypothesized to increase the explanatory power of earnings. Moreover, joint consideration of these first two factors is investigated. Third, the authors hypothesize that recognizing fundamental accounting concepts such as timeliness, predictive value, objectivity and verifiability offer key insights into the explanatory power of earnings.

The authors explore a sample of firms with management forecasts, which yields natural intratemporal subperiods – preforecast, forecast and realization periods – to generate hypotheses rooted in fundamental accounting concepts. The empirical evidence shows that recognition of nonstationary intratemporal behavior and earnings disaggregation yields a significant increase in the explanatory power of earning for returns. These findings are linked to fundamental concepts of accounting information.

This study is unique as it examines the joint role of nonstationarity and disaggregation in assessing the information conveyed in earnings. Importantly, results on these factors are linked to fundamental accounting concepts of timeliness, predictive value, objectivity and verifiability, along with their inherent trade-offs.

The purpose of this paper is to propose a new temporal disaggregation method for time series based on the accumulated and inverse accumulated generating operations in grey modeling and the interpolation method.

This disaggregation method includes three main steps, including accumulation, interpolation, and differentiation (AID). First, a low frequency flow series is transformed to the corresponding stock series through accumulated generating operation. Then, values of the stock series at unobserved time is estimated through appropriate interpolation method. And finally, the disaggregated stock series is transformed back to high frequency flow series through inverse accumulated generating operation.

The AID method is tested with a sales series. Results shows that the disaggregated sales data are satisfactory and reliable compared with the original data and disaggregated data using a time series model. The AID method is applicable to both long time series and grey series with insufficient information.

The AID method can be easily used to disaggregate low frequency flow series.

The AID method is a combination of grey modeling technique and interpolation method. Compared with other disaggregation methods, the AID method is simple, and does not require auxiliary information or plausible minimizing criterion required by other disaggregation methods.

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 purpose of this paper is to trace the emergence of knowledge-centric innovative enterprises that function in a disaggregated and dispersed form and further contemplate the economic and managerial rationale behind this strategy. A constant challenge to large organizations as well as those pursuing the intent to grow bigger is how to sustain the innovative dynamism.

The authors review the evolution of disaggregated and dispersed enterprises and discuss the changing cost structures for transactions, integration and coordination in the global knowledge economy. They elaborate the benefits of scale reduction and dispersed operations with examples.

Their review of the extant practices suggests that managers are finding value in disaggregating the firm operations. Disaggregation enhances the firm agility and responsiveness and helps the firm exploit the fleeting opportunities without incurring the opportunity cost or risking high investment.

Corporations need to become nimble, and their structure should be networked and permeable with significant industry actors. Integration would be imprudent if there is huge sunk cost due to uncertainty in business. Scale reduction and disaggregation, and operating in a dispersed mode – like a shoaling form – would help the companies exploit the fleeting opportunities without incurring the opportunity cost and risking high investment.

In addition to reviewing the rise of disaggregated enterprises, we explore the economic and managerial rationale of the disaggregation strategy, and discuss the learning and innovation, investment and cost-related advantages that stem from the disaggregated form of organization.

Management has considerable discretion over how to present and announce earnings components that are either unusual or infrequent, but not both (hereafter referred to as special items). In this study, we study the independent and joint effects of the accounting presentation format of, and the level of announcement prominence given to income-decreasing special items on investors’ judgments about the persistence of declining earnings.

Our study uses a 3 (format) × 2 (prominence) between-subjects design. In the experiment, participants act as proxies for nonprofessional investors to assess the persistence of a hypothetical firm’s declining earnings and make investment decisions.

Our results suggest that investors’ judgments are influenced by accounting presentation format and the level of announcement prominence. With respect to format, both classification and disaggregation affect investors’ assessment of earnings persistence. In addition, the degree of prominence given to an income-decreasing special item, albeit self-serving and not audited, introduces additional influence beyond that of accounting presentation format. In particular, we find that announcement prominence has a greater effect when the special item is aggregated with other operating expenses than when the special item is presented under the two other alternatives.

Our study contributes to the literature by demonstrating that presentation format and announcement prominence both have significant impact on investors’ judgments and decisions, and that their effects are interactive. Our results also indicate that future research can possibly gain better insight if it considers the accounting attributes of the special items in addition to their economic attributes.

The purpose of this paper is to examine the potential for eXtensible Business Reporting Language (XBRL) to go beyond static reporting. A taxonomy structure of information is developed for providing a knowledge base and insights for an XBRL taxonomy for integrated reporting (IR).

Design Science (DS) research, as a pragmatic exploratory research approach, is embraced to create a new “artefact” and thematic content analysis is used to analyse IR in practice.

Using XBRL for IR allows a shift from static and periodic reporting to more relevant and dynamic corporate disclosure for stakeholders, who can navigate and retrieve customised disclosure information according to their interest by exploiting the multidimensionality of IR and overcome some of its criticisms. The bi-dimensional taxonomy structure the authors’ present allows users to navigate disclosure from two different perspectives (content elements (CE) and capitals), display specific themes of interest, and drill down to more detailed information. Because of its evidence-based nature and levels of disaggregation, it provides flexibility to preparers and users of information. Additionally, the findings demonstrate the need to codify sector-specific information for the CE, so that to direct the efforts toward the development of sector-specific taxonomy extensions in developing an XBRL taxonomy for IR.

The limitations of DS research are, first, the artefact design and, second, its effects in practice. The first limitation stems from the social actors’ perspective taken into account to develop the taxonomy structure, which derives from the analysis of the reporting practices rather than a pluralistic approach and dialogic engagement. The second limitation relates to the XBRL taxonomy development process because, since the study is limited to the “design” phase being codification and structuring the knowledge base for an XBRL taxonomy, there is a need to develop a taxonomy in XBRL and then apply it in practice to empirically demonstrate the potential and benefits of XBRL in the IR context.

The taxonomy structure is targeted at entities interested in designing an XBRL taxonomy for IR. This is a call for academics and practitioners to explore the potential of technology to improve corporate disclosure and open up new projections for resurging themes on intellectual capital (IC) reporting with prospects for IC “fourth-stage” research focused on IC disclosure.

This is an interdisciplinary research employing the DS approach, which is rooted in information systems research. It is the first academic study providing pragmatic results for using XBRL in the context of IC and IR.

An investor in a corporate obligation is exposed to the default risk of the obligor. In this article, the author adapts the dynamic valuation framework to disaggregate systematic and idiosyncratic default risk of credit instruments. By articulating the distinction between diversifiable and undiversifiable risk, the article develops a two‐factor model for pricing default risk.

Some hierarchical approaches for production planning in a batch type manufacturing environment are described. In a single stage production system, three aggregation levels exist: types, families and items. The performance of a hierarchical system model is largely dependent on the methods of disaggregation at different levels. This paper reports on a study of hierarchical methods at the family disaggregation level and incorporates a simple modification to improve upon a heuristic proposed by Winters. Results indicate that even a very simple hierarchical planning approach can give a significant reduction in backorders in a production shop having severe capacity restriction.