The financial close process: Implications for future research

Janvrin, Diane J.; Mascha, Maureen Francis

doi:10.1016/j.accinf.2014.05.007

Cited by 13 publications

(7 citation statements)

References 68 publications

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“…As we will see later in our paper, several studies in this Accounting, Auditing and Accountability Journal special issue show that accountants timidly observe big data at a distance without taking the lead as expected by accounting associations (such as CIMA, the Chartered Institute of Management Accountants, and IMA, the Institute of Management Accountants). Accountants may be reluctant because of pressing deadlines linked to the financial close process (Janvrin and Mascha, 2014) and the abundance of data they already have to deal with. Grounded in deductive thinking, and focused on variables and models that must all fit together, accountants see the fluidity of big data more as a burden than an opportunity.…”

Section: New Performance Indicators Based On Social Media and Big Datmentioning

confidence: 99%

Accounting, accountability, social media and big data: revolution or hype?

Arnaboldi

Busco

Cuganesan

2017

AAAJ

186

159

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Purpose: The purpose of this paper is to outline an agenda for researching the relationship between technology-enabled networks – such as social media and big data – and the accounting function. In doing so, it links the contents of an unfolding area research with the papers published in this special issue of Accounting, Auditing and Accountability Journal. Design/methodology/approach: The paper surveys the existing literature, which is still in its infancy, and proposes ways in which to frame early and future research. The intention is not to offer a comprehensive review, but to stimulate and conversation. Findings: The authors review several existing studies exploring technology-enabled networks and highlight some of the key aspects featuring social media and big data, before offering a classification of existing research efforts, as well as opportunities for future research. Three areas of investigation are identified: new performance indicators based on social media and big data; governance of social media and big data information resources; and, finally, social media and big data’s alteration of information and decision-making processes. Originality/value: The authors are currently experiencing a technological revolution that will fundamentally change the way in which organisations, as well as individuals, operate. It is claimed that many knowledge-based jobs are being automated, as well as others transformed with, for example, data scientists ready to replace even the most qualified accountants. But, of course, similar claims have been made before and therefore, as academics, the authors are called upon to explore the impact of these technology-enabled networks further. This paper contributes by starting a debate and speculating on the possible research agendas ahead

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Section: New Performance Indicators Based On Social Media and Big Datmentioning

confidence: 99%

Accounting, accountability, social media and big data: revolution or hype?

Arnaboldi

Busco

Cuganesan

2017

AAAJ

186

159

View full text Add to dashboard Cite

show abstract

“…Technology has changed the way in which people access and use information; thus, changes in the reporting model that reflect the technology‐driven, immediate information world that exists today need to be forthcoming. Companies certainly appear to be preparing for much quicker closing of their books and more immediate information dissemination (Janvrin and Mascha, ).…”

Section: Behavioural Financial Accounting Researchmentioning

confidence: 99%

The changing technological environment and the future of behavioural research in accounting

Arnold

2016

Accounting & Finance

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In an era where the pace of change continues to escalate, behavioural research provides an ongoing avenue for explaining the likely effects of emergent changes on decision-making by providers, users and assurers of accounting information, and for providing ex ante enlightenment for policy-makers. The purpose of this discussion is to identify contemporary changes affecting the accounting environment, discuss the potential impact to individual and organisational decision-making, and explore how behavioural research can be utilised to examine these changes. Specifically, this discussion focuses on the impact that technological changes have had on financial reporting, external auditing and managerial accounting, with an eye towards the potential for these changes to radically alter the future of accounting and auditing research. This article is based on my plenary speech at the 2013 AFAANZ Annual Conference held in Perth, Australia. I thank both Sue Wright and David Lont, presidents of AFAANZ, for giving me the opportunity to synthesise research on the impact of technology on accounting, and to present that discussion in this forum. Over the past twenty years, I have had the opportunity to work with some of the finest academics in the world, either directly as my coauthors or indirectly through involvement in their PhD thesis work. Most of these academics are from the AFAANZ community -people like Stewart Leech at the University of Melbourne, Phil Collier formerly at the University of Melbourne, Carlin Dowling formerly at the University of Melbourne, Mohamed Elbashir and Habib Mahama both formerly at Australian National University, Poh Sun Seow, a graduate of University of Melbourne, now at Singapore Management University, and Jake Rose at Victoria University in New Zealand. These people and their work have profoundly influenced my thinking and my research about the impact of technology on the accounting domain. I would like to thank Steve Sutton for his invaluable help in preparing both the plenary speech and writing this article.© 2016 AFAANZ Accounting and Finance 58 (2018) 315-339

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“…There are at least three related indicators that are suggestive of such ceremonial adoption. First, practitioners often see the adoption of XBRL as a compliance exercise to avoid legal troubles rather than to get any benefits (Chasan, 2015) and doubt that investors would even use XBRL data (Janvrin and Mascha, 2014). Second, because the main objective is compliance, firms generally do not use XBRL anywhere in their accounting systems except in the external reporting step after all internal processing procedures have been completed.…”

Section: Institutional Theory Perspectivementioning

confidence: 99%

Does XBRL help improve data processing efficiency?

Rao

Guo

2021

IJAIM

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Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

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The financial close process: Implications for future research

Cited by 13 publications

References 68 publications

Accounting, accountability, social media and big data: revolution or hype?

Accounting, accountability, social media and big data: revolution or hype?

The changing technological environment and the future of behavioural research in accounting

Does XBRL help improve data processing efficiency?

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