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This study investigates the implementation challenges and economic consequences of the International Financial Reporting Standards 9 (IFRS 9) Financial Instruments.

Descriptive evidence on equity asset reclassifications and estimated impairment using the new expected credit loss (ECL) model are presented. Multivariate analyses on the disposal of available-for-sale (AFS) and fund investment post-announcement and the value relevance of impairments to financial assets post-implementation are performed.

Over 60% of sample firms report inconsistent equity asset reclassifications and do not change estimated impairment using the new expected credit loss model. Firms also switch from AFS to equity fund investments post-announcement. Lastly, impairments to financial assets increase in value relevance to investors’ post-implementation, but only in financial institutions and firms with Big 4 auditors.

This study's findings suggest that IFRS 9 presents implementation challenges and changes equity investment strategies. They also indicate cross-sectional differences in firms' ability to effectively apply the new standards. This study is valuable for policymakers, business leaders, investors and academics.

The US Securities and Exchange Commission (SEC) requires public companies to file structured data in eXtensible Business Reporting Language (XBRL). One of the key arguments behind the XBRL mandate is that the technical standard can help improve processing efficiency for data aggregators. This paper aims to empirically test the data processing efficiency hypothesis.

To test the data processing efficiency hypothesis, the authors adopt a two-sample research design by using data from Compustat: a pooled sample (N = 61,898) and a quasi-experimental sample (N = 564). The authors measure data processing efficiency as the time lag between the dates of 10-K filings on the SEC’s EDGAR system and the dates of related data finalized in the Compustat database.

The statistical results show that after controlling for potential effects of firm size, age, fiscal year and industry, XBRL has a non-significant impact on data efficiency. It suggests that the data processing efficiency benefit may have been overestimated.

This study provides some timely empirical evidence to the debate as to whether XBRL can improve data processing efficiency. The non-significant results suggest that it may be necessary to revisit the mandate of XBRL reporting in the USA and many other countries.

The purpose of this paper is to investigate the extent to which Chinese firms voluntarily extend the standard XBRL taxonomy to disclose more detailed financial information; and second, to identify and test corporate governance factors that may be associated with voluntary taxonomy extensions in eXtensible Business Reporting Language (XBRL)‐based reporting.

Using a sample of 114 firms that are listed on the Shanghai Stock Exchanges, the authors compared their XBRL‐based financial reports of 2008 and 2009 with the standard XBRL taxonomy. Multiple regression tests were performed to examine the effects of corporate governance factors and firm characteristics on XBRL taxonomy extensions.

The results indicate a high level of voluntary taxonomy extension in Chinese firms' XBRL reports. The extent of such extension is associated with the percentage of independent directors, combined CEO/chair of the board position, and firm size. It is also associated with audit firm size, in that companies audited by Big Four firms tend to have lower level of taxonomy extension. However, the direction of the result is opposite to what the authors expected.

This paper highlights the effects of corporate governance factors on Chinese firms' decisions to extend XBRL standard taxonomy and, in doing so, to disclose more financial information. Future research may consider using longitudinal data and alternative corporate governance factors to validate and extend the results.

It is an unanswered question as to whether and why firms extend standard XBRL taxonomies and disclose additional voluntary information. This paper fills the gap by investigating this issue in the context of the Chinese capital market.

The purpose of this paper is to investigate how and why information systems (IS) enhance firm performance (FP) from a knowledge management perspective. Drawing upon the knowledge-view of the firm and organizational learning theories, we develop and empirically test a theoretical model where knowledge sharing (KS) plays a mediating role between IS maturity (ISM) and FP.

Data were collected through a survey of business managers in China. The model was tested by using the partial least squares structural equation modeling approach.

The results provide support for the propose research model and confirm that ISM is positively associated with FP, and KS partially mediates the effects of ISM.

This study contributes to the IS literature by reconceptualizing the ISM construct and testing the mediating effect of KS and, thus, offers some answers to the “how-and-why” question about the value of IS.

The purpose of the study is to provide readers with an overall picture of contemporary logistics curricula from an international perspective.

Comparative analyses of logistics education are performed among Europe, North America, and Asia, between developing nations and developed nations, and between continental nations and island nations.

The findings of the study are of value in identifying additional educational needs of logistics professionals as well as in hiring new professionals.

Little research has been done to understand contemporary logistics education in a comprehensive way. This paper is the first empirical study to use data available on the web sites of academic logistics programs to provide descriptive analyses of logistics courses offered at universities around the world.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.