Exploring corporate governance research in accounting journals through latent semantic and topic analyses

Published date01 October 2019
AuthorMark Edmonds,Ferhat D. Zengul,Arline Savage,Nurettin Oner,James D. Byrd
DOIhttp://doi.org/10.1002/isaf.1461
Date01 October 2019
RESEARCH ARTICLE
Exploring corporate governance research in accounting
journals through latent semantic and topic analyses
Ferhat D. Zengul
1
| James D. Byrd, Jr
2
| Nurettin Oner
1,3
| Mark Edmonds
2
|
Arline Savage
2
1
Department of Health Administration,
University of Alabama at Birmingham,
Birmingham, AL, USA
2
Department of Accounting and Finance,
University of Alabama at Birmingham,
Birmingham, AL, USA
3
Department of Healthcare Management,
Ankara University, Ankara, Turkey
Correspondence
Ferhat D. Zengul, University of Alabama at
Birmingham, Department of Health
Administration, Health Care Management
Program, 1705 University Blvd. Birmingham,
AL 35294. 1720 2nd Avenue South, School of
Health Professions Building, 540A,
Birmingham, AL 35294-3361.
Email: ferhat@uab.edu
James D. Byrd Jr.,University of Alabama at
Birmingham, Department of Accounting and
Finance, Collat School of Business CSB316,
Birmingham, AL 35294.
Email: jimbyrd@uab.edu
Summary
The literature on corporate governance (CG) has been expanding at an unprece-
dented rate since major corporate scandals surfaced, such as Enron, WorldCom,
and HealthSouth. Corresponding with accounting's important role in CG, accounting
scholars increasingly have investigated CG in recent years, so the body of literature
is growing. Although previous attempts have been made to summarize extant litera-
ture on CG via reviews, none of these attempts has utilized recent developments
in text analyses and natural language processing. This study uses latent semantic
and topic analyses to address this research gap by analysing abstracts from 1,399
articles in all accounting journals that the Australian Business Deans Council
(ABDC) has rated A and A*. The ABDC journal list is widely recognized as a
journal-quality indicator across many universities worldwide. The analyses revealed
10 distinct research topics on CG in the ABDC's top accounting journals. The
results presented include the five most representative articles for each topic, as
distinguished by topic scores. This study carries important practice and policy impli-
cations, as it reveals major research streams and exhibits how researchers respond
to various CG problems.
KEYWORDS
corporate governance, latent semantic analysis, natural language processing, topic analysis
1|INTRODUCTION
According to the Organization for Economic Cooperation and Devel-
opment (OECD), corporate governance (CG) refers to the processes
and procedures that are used to direct and control firms (OECD,
2005). An expanded version of this definition would include the
established checks and balances that organizations use to prevent
abuses that self-interested individuals, such as executives, initiate
(Larcker & Tayan, 2015).
As big accounting scandals emerged in the past two decades,
public distrust of corporations and their managers has spiked.
Governance failures include not only fraud and theft, but also viola-
tions of fiduciary duties to shareholders by management and boards
of directors. Prominent examples of these CG scandals include using
corporate funds to pay half of a lavish $2 million tab for a birthday
party held for a chief executive officer's (CEO's) wife and attempting
to fly corporate jets to Washington, DC, to secure a public bailout
from the government (Levs, 2008; Orin, 2008; Pillmore, 2003;
Riotto, 2008).
The accounting profession plays a particularly crucial role in
preventing CG scandals. In many of these scandals (e.g. Enron,
WorldCom, HealthSouth, Olympus, and Toshiba), intentional violation
of accounting rules empowered the wrongdoers. Shareholders,
employees, creditors, other stakeholders, and the public at large bore
the very high costs from these scandals resulting from the abdication
of fiduciary duties of the board, management, and/or auditors, who
Received: 16 July 2019 Revised: 11 October 2019 Accepted: 26 November 2019
DOI: 10.1002/isaf.1461
Intell Sys Acc Fin Mgmt. 2019;26:175192. wileyonlinelibrary.com/journal/isaf © 2020 John Wiley & Sons, Ltd. 175
are responsible for CG, as in the case of the 2008 financial bailout
(Abdel-Khalik, 2002; Arnold & De Lange, 2004; Asthana, Balsam, &
Krishnan, 2010; Canada, Kuhn, & Sutton, 2008; Carcello, Dana, &
Raghunandan, 2005; Fukase, 2015; Inagaki, 2018; Orin, 2008). Some
of these scandals eventually led to the demise of Arthur Andersen,
one of the world's largest accounting firms.
Given accounting's important role in these CG scandals, account-
ing academics have been focusing more attention on CG over the past
decade. The evidence of this increase in research can be found in a
seminal review article by Brown, Beekes, and Verhoeven (2011), in
which they detailed how they conducted a Google Scholar search in
June 2010 using the keyword corporate governance, eliciting
287,000 hits. We conducted the same search on 4 January 2019 and
yielded 810,000 hits. A large proportion of this increase in hits can be
attributed to accounting, given that adding the keyword accounting
to corporate governancewith the Boolean operator andyielded
508,000 hits on 4 January 2019. Brown et al. (2011) conducted the
same search in July 2010, generating only 95,000 hits.
Our study contributes to the literature by including research con-
ducted over the past decade and applying natural language processing
(NLP) and text-mining tools to analyse the research conducted around
CG in accounting.
In this study, we apply recent NLP developments by utilizing
latent semantic analysis (LSA) on CG literature from the top
30 accounting journals, as ranked by the Australian Business Deans
Council (ABDC, 2016). We contribute to academia more specifically
by summarizing current research trends in CG.
2|LITERATURE REVIEW
CG's increasing role in business and accounting research also can
be observed in more recent literature reviews. These CG reviews
comprised varying focus areas, such as qualitative research on CG
(McNulty, Zattoni, & Douglas, 2013), CG and state-owned enterprises
(Grossi, Papenfuß, & Tremblay, 2015), cross-national governance
(Schiehll & Martins, 2016), CG and innovation (Gonzales-Bustos &
Hernández-Lara, 2016), and CG models (Ahmad & Omar, 2016). How-
ever, with the exception of Brown et al. (2011), few researchers have
attempted to summarize CG research within accounting.
This research also is relevant because of the increasing interest
in big data in accounting research (Alles, 2015; Brown-Liburd, Issa, &
Lombardi, 2015; Dagilienė& Klovienė, 2019; Drew, 2018; Gepp,
Linnenluecke, O'Neill, & Smith, 2018; Griffin & Wright, 2015;
Huerta & Jensen, 2017; Krahel & Titera, 2015; Vasarhelyi, Kogan, &
Tuttle, 2015; Warren, Moffitt, & Byrnes, 2015; Yoon, Hoogduin, &
Zhang, 2015; Zhang, Yang, & Appelbaum, 2015). Sun and Vasarhelyi
(2018) investigated the various text-mining tools available for
auditing. The methodology used in this investigation enables the min-
ing of big data related to the massive amounts of text documents
available to researchers. Furthermore, this research method can be
used to understand themes and trends in accounting topics other
than CG.
3|METHODS
This study's methodology entails three phases: (1) creating the corpus;
(2) generating and curating the term list; and (3) analysis (Delen &
Crossland, 2008; Ozaydin, Zengul, Oner, & Delen, 2017).
3.1 |Phase 1. Creating the Corpus
This phase involves the aggregation of references with keywords,
titles, and abstracts, then converting them into a data format that can
be analysed using statistical software. To achieve this, the initial data
from the top 30 accounting journals (see Figure 1) were downloaded
into Endnote by using: (1) EBSCOhost Business Source Premier and
(2) Scopus. A total of 40,923 references were gathered from the top-
ranking 30 journals listed in Figure 1. The references were down-
loaded from the first issue of each journal through 2017 for all the
journals except five, which have not been available since inception
(see Appendix A). After filtering for governanceand excluding refer-
ences without abstracts, a corpus of 1,399 references was finalized,
as highlighted in the seven steps in Table 1. We used the broader
term governanceinstead of corporate governancefor filtering
FIGURE 1 Number of articles with corporate governance focus in
30 a* and a accounting journals (n= 1399). AAAJ: Accounting Auditing
and Accountability Journal; AAJPT: Auditing: A Journal of Practice and
Theory; ABACUS: Abacus: A Journal of Accounting, Finance and
Business Studies; ABR: Accounting and Business Research; AF:
Accounting and Finance; AH: Accounting Horizons; AOS: Accounting,
Organizations and Society; BAR: British Accounting Review; BRA:
Behavioral Research in Accounting; CAR: Contemporary Accounting
Research; CPA: Critical Perspectives on Accounting; FAM: Financial
Accountability and Management; FTA: Foundations and Trends in
Accounting; IAE: Issues in Accounting Education; IJA: International
Journal of Auditing; IJAIS: International Journal of Accounting
Information Systems; JAAF: Journal of Accounting Auditing and Finance;
JAE: Journal of Accounting and Economics; JAL: Journal of Accounting
Literature; JAPP: Journal of Accounting and Public Policy; JAR: Journal
of Accounting Research; JBFA: Journal of Business Finance and
Accounting; JCAE: Journal of Contemporary Accounting and Economics;
JIAR: Journal of International Accounting Research; JMAR: Journal of
Management Accounting Research; MAR: Management Accounting
Research; RAS: Review of Accounting Studies; TAR: The Accounting
Review; TEAR: The European Accounting Review; TIJA: The International
Journal of Accounting
176 ZENGUL ET AL.

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