Search results

The knowledge- and Internet-based economy demands a reexamination of the accounting treatment for intangibles and a thorough understanding of the empirical evidence on this topic.

The study reviews the literature on research and development (R&D), a specific internally developed intangible asset, using meta-analysis techniques that allow to highlight the areas of consensus and disagreement in quantitative empirical results. The literature the authors review addresses four main research questions on (1) the determinants of the decision to capitalize R&D, (2) stock market-based outcomes of capitalizing R&D, (3) firm-based outcomes related to expensing R&D and (4) stock market-based outcomes of expensing R&D.

The authors find higher value relevance of capitalized compared with expensed R&D. There is, however, little robust evidence on the determinants of the capitalization decision and the characteristics of capitalizers.

The authors conclude by highlighting future research that can allow accounting academics to contribute to standard setting.

IAS 1 (“Presentation of financial statements”) requires that application of all international standards is necessary in order to comply officially with International Accounting Standards. This appears to be a key statement for the move towards accounting harmonization. The feasibility of this kind of harmonization could be jeopardized if even one standard is “rejected” by companies. In this context, in the wake of the publication of IAS 38 “Intangible assets”, examines the ways that 21 national and two international accounting standards approach intangibles, both in terms of definition and treatment. Shows that there is no conceptual framework commonly accepted and that there is a considerable lack of consistency both inter‐country and intra‐country. This challenges the principle of the acceptability of all international accounting standards by companies that wish to or are required to apply IASs. The disharmony highlighted by the advent of IAS 38 could be a sign of the failure of international accounting harmonization.

This paper aims to focus on how forecasts information is disclosed in IPO prospectuses. In France, managers report either detailed forecasts or only a brief summary.

The authors investigate the determinants and consequences of the varying levels of details provided in these forecasts. The research is based on a sample of 82 IPOs on the Euronext Paris market (2000‐2002).

The paper shows that only two variables are associated with highly detailed forecast disclosures: forecast horizon and firm age. It is also found that the forecast error decreases as the level of detail in the forecast disclosures increases. This finding is robust to a reverse causality test (Heckman two‐stage self‐selection procedure) and suggests that the level of detail in forecast disclosures enhances the reliability of earnings forecasts.

The paper suffers from at least two potential flaws. First, omitted variables, such as the possession of good news or proprietary costs. can influence both forecast errors and the level of detail of forecasts. Second, the negative association between the level of detail in forecast information and forecast errors may either show that detailed information leads to less forecast error or reflect a self‐selection bias.

This research could have implications for stock market regulators as it suggests that mandatory disclosure of highly detailed forecasts would improve the effeciency of the markets by reducing forecast error.

This paper contributes to be literature by presenting evidence tha the way forecast information is disclosed in IPO prospectuses is of importance and by documenting a negative association between forecast error and the level of detail in forecast disclosures.

This study aims to investigate the association of FinTech innovation (FinTechINN) and firm performance (FP) by considering the role of knowledge assets (KA) as a causal mechanism underlying the FinTechINN – FP association.

In this study, the authors consider panel data of 1,049 Chinese A-listed firm and construct a structural model for corporate FinTech innovation, knowledge assets and firm performance while considering endogeneity issues in analyses over the period of 2014–2022. The modified value added intellectual capital (VAIC) and research and development (R&D) expenses are used as a proxy measure for knowledge assets, considering governance and corporate performance measures.

According to the findings of this study FinTech innovation (FinTechINN) has a positive significant effect on firm performance. Particularly; the findings disclose that FinTech innovations has a link with knowledge assets, FinTech innovations indirectly affects firm performance, and the association between FinTech innovation and firm performance is partially mediated by knowledge assets (MVAIC and R&D expenses).

Rooted in the dynamic capability and resource-based view, this study pioneers an empirical exploration of the association of FinTech innovation with firm performance. Moreover, it introduces the novel dimension of knowledge assets (on firm-level), acting as a mediating factor with in this relationship.

The objective of this research is to systematically compare two methods of wicking test for evaluating the quality of the non-medical-mask fabric, i.e. its absorbency property at various conditions, using a design of experiment approach. This research also evaluates the suitability of several fabrics to be used for non-medical masks.

Horizontal and vertical wicking tests were selected to evaluate the absorbency property of five fabrics commonly used for the non-medical mask. The tests were performed at three temperatures and using two types of liquid. The design of experiment approach was employed to determine the relationship between the path length of liquid movement in fabric and type of test method, temperature and type of liquid.

Both vertical and horizontal wicking tests show the same order of fabrics according to their absorbency. The order is cotton twill, local cotton, Japanese cotton, Oxford and Scuba, where the first in the order has the lowest absorbency and the last has the highest absorbency. Based on the analysis of variance (ANOVA), the range of temperature and types of liquid employed in this research do not affect the path length of the liquid movement in the fabric.

This research proposes horizontal and vertical wicking tests as a practical tool to evaluate absorbency property of fabric for the non-medical mask. This research also presents a design of experiment approach to evaluate the effect of the test method, temperature and type of liquid on the path length of the liquid movement in the fabric.