Motivated by the significance of auditing and perceptions of audit quality in enhancing the reliability and credibility of financial statements, this article investigates the relative im
Trang 1Alan Kilgore, Renee Radich & Graeme Harrison
T he importance of auditing and perceptions of
au-diting to the efficient operation of capital markets
is well recognised For example, Wallman (1996)
and Coffee (2001) argue that without high quality audits
the capital market would be inefficient and the cost of
capital higher Similarly, Monroe and Tan (1997: 35)
conclude ‘the quality of an audit can affect the reliability
of audited financial information, which in turn plays
an important role in capital markets’ Audit quality
is, therefore, fundamental in providing the confidence
that capital market participants require and plays an
important role in the effective allocation of economic
resources
As a result of a series of corporate collapses and
audit failures, perceptions of audit quality have been at
issue over recent decades These events and the ensuing
investigations have resulted in changes to regulatory
arrangements In Australia the ninth stage of the
Corporate Law Economic Reform Program (Audit Reform
and Corporate Disclosure) Act 2004 (CLERP 9) proposed
a range of measures designed to enhance the general
cor-porate disclosure framework The Australian Securities
Exchange’s Corporate Governance Council also issued a
report entitled Principles of Good Corporate Governance
and Best Practice Recommendations (2003) Similarly,
in the United States (US) the Corporate and Auditing
Accountability, Responsibility, and Transparency Act of
2002, commonly called the Sarbanes-Oxley Act (2002)
(SOX), was enacted in response to financial reporting
irregularities (McGowan and Brisendine 2003) Various
governance initiatives were also implemented in the
United Kingdom (UK), including the issuance of the
Combined Code in 2003.
More recently the global financial crisis (GFC) has
seen policy makers once again focus attention on the
importance of an effective audit function as a key
compo-nent in effective capital markets and attempt to identify
key drivers of audit quality For example, in the US, the
Advisory Committee on the Auditing Profession (2008)
was established to provide advice to the US Treasury
Department on the auditing profession In the UK the
Financial Reporting Council released The Audit Quality
Framework (2008) and in Australia, the Treasury released
Audit Quality in Australia – A Strategic Review (2010).
Corporate collapses and audit failures have threatened the credibility of the audit function, with audit quality once again being a major issue Motivated by the significance of auditing and perceptions of audit quality in enhancing the reliability and credibility of financial statements, this article investigates the relative importance of audit team and audit firm attributes in perceptions of audit quality
by users of audit services Data are gathered from 81 users
of audit services and analysed using adaptive conjoint analysis in order to measure the relative importance of audit team and audit firm attributes in perceptions of audit quality The results show that, in general, users of audit services perceive audit team attributes as being relatively more important than audit firm attributes in perceptions of audit quality The findings of the study have implications for regulators and the accounting profession concerned with improving confidence in corporate governance and the effectiveness and integrity
of the audit process, and for audit firms in monitoring and promoting the quality of their audit services.
Correspondence
Alan Kilgore, Department of Accounting and Corporate Governance, Macquarie University, NSW 2109, Australia Tel: + 61 2 9850 8564; fax: + 61 2 9850 8497; email: alan.kilgore@mq.edu.au
doi: 10.1111/j.1835-2561.2011.00141.x
Trang 2These investigations and regulatory changes make it
clear that there has been considerable dissatisfaction with
the effectiveness of corporate governance, the quality of
the audit process and the roles of auditors and auditing
In response, regulators and the accounting profession
have taken a number of policy measures to improve
audit quality in both fact and appearance Recent
examples include the SEC’s proposed ban on audit
firms undertaking non-audit services (NAS) in 2000
(SEC 2000) and the rapid adoption of SOX following
Enron’s collapse (Francis 2004) However, these policy
decisions have been made despite the fact that the
empirical evidence regarding factors that can enhance or
impair audit quality is inconclusive and uncertain This
study provides empirical evidence on the factors that are
perceived to affect audit quality, specifically the relative
importance of audit team and audit firm attributes in
affecting audit quality as perceived by users of audit
services
This study contributes to the literature in three ways
First, there is only limited empirical evidence of the
factors that affect perceptions of audit quality by users
of audit services However, research into perceptions of
audit quality is important because it is perceptions that
determine the credibility of the audit report (Shockley
1981) and that have the potential to erode public
confidence in the integrity of the financial reporting
system (Pany and Reckers 1988) Consequently, gaining
an understanding of factors that affect perceptions
of audit quality is important because it can help
regulators and the accounting profession to formulate
policy based on empirical evidence rather than on
a priori assumptions (Schelluch and Thorpe 1995).
This evidence is also useful in ensuring that policies
and practices support confidence and credibility in the
audit function by encompassing attributes found to be
relatively more important in perceptions of audit quality
Second, the findings of this study extend the scope
of prior studies by examining the relative importance of
audit team and audit firm attributes in perceptions of
audit quality by examining whether users place greater
importance on one type of attribute compared to the
other Prior studies on perceptions of audit quality have
identified the distinction between, and importance of,
audit team and audit firm attributes (see, for example,
Schroeder et al 1986; Carcello et al 1992;
Warming-Rasmussen and Jensen 1998) However, these studies
have only examined the importance of audit quality
attributes in an absolute sense and have not examined
the relative importance (how important an attribute is
relative to all others) of attributes in perceptions of audit
quality
Third, some studies (see, for example, Schroeder
et al 1986; Carcello et al 1992) found that audit team
attributes were more important in assessing audit quality
than audit firm attributes By contrast, other studies
(see, for example, Warming-Rasmussen and Jensen 1998) found a greater emphasis on audit firm attributes compared to audit team attributes Additionally, there are sufficient variations in the number and type of attributes and subject groups used in prior studies that reduce their comparability and usefulness Using conjoint analysis, this study makes a unique and innovative contribution to the literature Conjoint analysis, which has not previously been used to measure the relative importance of audit quality attributes, allows direct evidence to be obtained regarding the relative importance of attributes in perceptions of audit quality
Literature Review and Research Questions
There is a vast body of literature relating to audit quality and its measurement Despite the extent of that literature, no single generally accepted definition
or generally accepted measure of audit quality has emerged Much of the audit quality literature derives from DeAngelo’s (1981) frequently cited definition of audit quality (the probability of both discovering and reporting a breach or misstatement in the accounting system or financial statements) Krishnan and Schauer (2000) observe that the two aspects of the DeAngelo (1981) definition are unobservable
Two approaches have been adopted to measuring audit quality; a direct and an indirect approach The direct approach is based on the assumption that the probability of discovery and reporting of breaches will
be reflected in outcomes of the audit, such as audit errors and financial statement outcomes Examples of studies using the direct approach include Brown and Raghunandan (1995) and Colbert and Murray (1998) (audit errors), Balsam et al (2003) (abnormal accruals) and Krishnan (2003) (valuation of earnings surprises) Research using the indirect approach is of two types The first type measures audit quality using surrogates for audit quality, such as audit firm size (see, for example, DeAngelo 1981; Francis 1984; Palmrose 1986; Francis and Simon 1987; Craswell et al 1995; Colbert and Murray 1998), audit tenure (see, for example, Geiger and Raghunandan 2002), provision of NAS (see, for example, Wines 1994; Barkess and Simnett 1994; Craswell 1999; Elstein 2001) and industry experience (see, for example, Craswell et al 1995; Hogan and Jeter 1999) These surrogate studies generally examine attributes of the audit firm, rather than the audit team, and typically examine only one attribute in each study
The second type adopts a behavioural perspective and assesses audit quality by examining the attributes perceived to be associated with audit quality Behavioural studies include Shockley (1981), Mock and Samet (1982), Knapp (1985), McKinley et al (1985), Schroeder
et al (1986), Knapp (1987), Sutton and Lampe (1990),
Trang 3Gul (1991), Knapp (1991), Carcello et al (1992), Sutton
(1993), Beattie and Fearnley (1995), Moizer (1995),
Behn et al (1997), Warming-Rasmussen and Jensen
(1998), Behn et al (1999), Chang and Monroe (2001)
and Duff (2004) These behavioural studies typically
examine combinations of audit quality attributes, and
include both audit firm and audit team attributes
Two conclusions can be drawn from the behavioural
studies The first is that users of audit services attach
different degrees of importance to particular audit
quality attributes in their perceptions of audit quality
The second is that, in general terms, audit team attributes
are considered to be more important than audit firm
attributes in perceptions of audit quality Based on this
discussion, this study examines the following research
questions:
RQ1: Do users of audit services attach different relative
importance to audit quality attributes?
RQ2: Are audit team or audit firm attributes considered
relatively more important in perceptions of audit
quality by users of audit services?
The research questions are based on two assumptions
The first is that audit quality can be regarded as a set of
attributes with differing relative importance for users
of audit services This assumption has support in both
the theoretical and empirical literature The concept
of product quality in the economics-based literature,
summarised in Davidson and Monroe (1999), contends
that goods and/or services are considered to be composed
of sets or bundles of many different characteristics or
attributes Goods and/or services are only considered to
have value to consumers because of the various attributes
that combine together to form the good or service
Consumers will seek different attributes in the good or
service and will place different values on each attribute
depending on the consumers’ utility of the attribute
The ‘quality’ of an economic good or service can
therefore be viewed as the sum of the values placed on
the desired attributes contained in the good or service
With respect to the empirical literature, Simunic and
Stein (1987) find that audit services are not seen as
homogeneous but differentiated by users on the basis of
differences in the values placed on the attributes of audit
services Similarly, the studies that examine audit quality
from a behavioural perspective demonstrate that there
is a long list of attributes perceived to be important in
assessing audit quality and there is considerable variation
in the importance of those attributes to users of audit
services
The second assumption is that attributes perceived to
affect perceptions of audit quality may be classified as
one of two types; audit team and audit firm attributes
Audit team attributes are characteristics of the audit
team and audit partner and include the level of partner
attention to the audit, communication and quality of
working relationships between the audit team and client management, and the skills and experience of the audit team (drawing examples from Schroeder et al 1986) Audit team attributes also include the knowledge of the audit team and partner both generally and in relation
to the client’s industry, and the ethical standards of the audit team (Carcello et al 1992); and the technical competence of the audit team (Beattie and Fearnley 1995; Zerni 2008) Schroeder et al (1986) argue that, because the audit service is delivered by a relatively small number of professionals comprising the audit team, audit team attributes are likely to play an important role
in perceptions of audit quality Audit team attributes were also found to be important in perceptions of audit quality in the behavioural studies identified earlier
Audit firm attributes are characteristics of the audit firm Both the surrogate and behavioural studies have found audit firm attributes to be important in percep-tions of audit quality The surrogate studies identify audit firm attributes to include audit firm size, litigation experience, auditor reputation, auditor tenure, provision
of NAS, audit structure and industry experience to be associated with audit quality The behavioural studies identify audit firm attributes including quality control procedures, regulatory experience (Schroeder et al 1986), audit firm responsiveness to client needs and compliance with general audit standards (Carcello et al 1992), and firm industry experience and sceptical atti-tude of the firm (Warming-Rasmussen and Jensen 1998)
Research Method Adaptive conjoint analysis
This study gathers and analyses data using Sawtooth Software’s Adaptive Conjoint Analysis System (ACA) The ACA system, developed by Johnson (1987), is
a computer-administered, interactive conjoint method and combines the design of conjoint tasks, data collection and data analysis ACA uses a computerised questionnaire that consists of four sections, namely, importance, ratings, trade-off and calibration The importance section asks respondents to indicate which audit quality attributes they consider most important
In the ratings section, respondents provide a rating preference for different levels of the particular audit quality attribute In the trade-off section a series of customised paired comparison trade-off questions are presented to respondents in order to obtain the conjoint data so that utility values can be calculated In the calibration section a series of ‘calibration concepts’ are composed using those attributes determined to be most important This information is used to calibrate the utility values calculated in the earlier sections of
Trang 4the questionnaire for use in further data analysis A
unique feature of ACA is that the procedure is both
‘adaptive’ and ‘dynamic’ in that the answers already
provided by respondents are used at each step to select
the next paired comparison question
Audit quality attributes
Collection of conjoint data using the ACA system
requires identification of the attributes and attribute
levels (descriptors) to be included in the survey
questionnaire Initially, five audit firm attributes were
identified from the literature as the main audit firm
attributes implicated in perceptions of audit quality
These were audit firm size, audit tenure, provision
of NAS, audit structure and industry experience Five
audit team attributes were selected: partner/manager
attention to audit; communication between audit team
and client management; partner knowledgeable about
client industry; very knowledgeable audit team; and
senior manager/manager knowledgeable about the client
industry These audit team attributes were the five
highest rated in the two most significant behavioural
studies of perceptions of audit quality (Schroeder et al
1986; Carcello et al 1992)
ACA survey questionnaire
The survey questionnaire was previewed for errors
using the ACA system tool that automatically checks
the completed survey for errors or warnings Four
faculty members of the Department of Accounting and
Finance at Macquarie University also reviewed the draft
questionnaire This process resulted in a number of
minor changes being made to the questionnaire, namely
the use of three levels for the audit firm size attribute
(Big N firms, mid-tier and local firms), and audit tenure
being specified as audit partner tenure with two levels
(five years or fewer and more than five years)
The reviewers also reported that they had difficulty
understanding and interpreting the term audit structure
Consulting the relevant literature (see, for example,
Cushing and Loebbecke 1986; Ashton and Willingham
1988; Dirsmith and Haskins 1991; Carcello et al
1995) revealed that audit structure methodologies are
not likely to be familiar to users of audit services
Consequently, this attribute was replaced with the
attribute ‘audit quality assurance review’ with two
levels (internal/external) The inclusion of this attribute
was motivated by debate surrounding the efficacy of
audit quality reviews and the subsequent formation,
in February 2006, of the Audit Quality Review Board
(AQRB).1 Furthermore, a number of empirical studies
have attempted to determine whether peer review is
effective in improving audit quality Examples of these
studies include Francis et al (1990), Wallace (1991), Deis and Giroux (1992), Krishnan and Schauer (2000) and Hilary and Lennox (2005) These requirements and the distinction between external and internal quality control reviews are likely to be known by users of audit services and provide further motivation for the inclusion of this attribute with two levels (internal/external)
The survey questionnaire was pilot tested by 19 faculty members of the Department of Accounting and Finance
at Macquarie University No difficulties in completing the questionnaire were reported The final audit firm and audit team attributes, their operational definitions and the attribute levels used in the ACA survey questionnaire are shown in Table 1 A copy of the ACA survey questionnaire used in this study is available on request
Data collection
The respondents chosen for this study are audit committee chairs/members and financial analysts/fund managers representing users of audit services As no readily accessible database of either respondent group
is available it was necessary to construct databases from publicly available information The audit committee chairs/members database was constructed from annual reports of companies listed on the Australian Securities
Exchange (ASX) selected at random from Aspect Annual Reports Online Database Information regarding
audit committee membership was obtained from the corporate governance section of the annual reports from which the names of audit committee chairs/members were obtained Contact details for each audit committee
chair/member were obtained from the Business Who’s Who of Australia Database, where available A total of
318 audit committee chairs/members were identified, with 158 representing the Top 500 firms listed on the ASX, and the remaining 160 representing non Top 500 firms
The financial analysts/fund managers database was constructed from information obtained from the
Australian Financial Services Directory (AFSD), which
provides web addresses for all financial analysts/fund managers listed in the AFSD Individual websites were accessed to obtain the names, position descriptions and contact details (mailing address, telephone number and email address) Only individuals whose position descriptions clearly identified them as working in financial analysis/funds management areas, or who could clearly be identified as having prior work experience in these areas, were selected for inclusion
in the database In order to obtain a similar sample size for financial analysts/fund managers, the names and contact details of 331 individuals were selected through this process
Trang 5Table 1 Audit firm and audit team attributes, operational definitions and attribute levels used in the ACA questionnaire
2 Mid-tier firm
3 Local firm Audit partner tenure Duration of auditor–client relationship 1 ≤5 years
2.>5 years
Provision of non-audit services (NAS) Percentage of NAS fees to audit fees 1.<30% of audit fees
2 30–60% of audit fees
3.>60% of audit fees
Industry experience Industry specialisation 1 Specialist
2 Non-specialist Audit quality assurance review Audit quality control review 1 External quality control review
2 Internal quality control review Partner/manager attention to audit Activity level of partner/manager 1 High activity level
2 Moderate activity level
3 Low activity level Communication between audit team and Nature and frequency of communication 1 Formalised and regular
3 Ad hoc
Partner knowledgeable about client Years of experience in client industry 1 ≤3 years
3.>6 years
Senior manager/manager Years of experience in client industry 1 ≤3 years
3.>6 years
Very knowledgeable audit team Years of experience in accounting and auditing 1 ≤3 years
2 4–6 years
3.>6 years
Data collection was undertaken in two stages In
stage 1, 649 invitation letters and acceptance forms were
mailed to all 318 audit committee chairs/members and
331 financial analysts/fund managers After following
the multiple mailing procedure in line with Dillman’s
(2000) Tailored Design Method (TDM), 173 responses
agreeing to participate in the study were received from
audit committee chairs/members (96) and financial
analysts/fund managers (77) An overall response rate
of 28.8% to the invitation letter was achieved
Stage 2 commenced with each audit committee
chair/member and financial analyst/fund manager who
agreed to participate in the study being sent an
email thanking them and providing details of how
to access the survey questionnaire online Subsequent
emails/telephone calls were made to encourage
re-spondents to complete the questionnaire In total,
22 respondents withdrew from the study despite
initially agreeing to participate A further 66 did not
respond to repeated emails/telephone calls A total of
85 respondents attempted the questionnaire, of which
four were incomplete, resulting in an overall response
rate of 46.8% of respondents that initially agreed to
participate For audit committee chairs/members, 40.6%
responded; for financial analysts/fund managers 54.5%
responded Table 2 summarises the response rates for
stage 1 and 2 procedures
Results ACA average utility values
Prior to analysis, the utility data must be scaled and normalised so that utility values can be compared across respondents.2 Table 3 shows the average utility values The average utility values represent the desirability of
the attribute levels within each attribute.3
Relative importance scores
To enable comparison between attributes, the relative
im-portance score for each attribute across all respondents was calculated using the formula:
RI i=n (MaxU − MinU)i
i
(MaxU − MinU)
(1)
Where: RI i = the relative importance of the i th
attribute
Max U = the maximum utility of the i thattribute
Min U = the minimum utility of the i thattribute The relative importance scores for each attribute across all respondents are provided in Table 4 and are
Trang 6Table 2 Response rates
Audit Committee Chairs/ Financial Analysts/Fund Members (% of total) Managers (% of total) Total Percent Stage 1 Procedures
Stage 2 Procedures
Table 3 Average utility values for all levels of all attributes
for all complete responses (N=81)
Average Attribute Utility
Audit firm size Big N auditor 52.86
Mid-tier firm 8.64
Audit partner tenure 5 years or less 21.54
More than 5 years −21.54
Provision of NAS <30% of audit fees 38.59
30–60% of audit fees −2.22
>60% of audit fees −36.37
Audit firm industry Specialist 50.61
experience Non-specialist −50.61
Audit quality assurance External quality assurance 14.96
Internal quality assurance −14.96
review Partner/manager attention High activity level 58.24
to audit Moderate activity level −1.94
Low activity level −56.3
Communication between Formalised and regular 33.86
audit team and client Informal and regular 15.73
Partner knowledgeable 3 years’ experience −52 26
about client industry 4–6 years’ experience 9.72
>6 years’ experience 42 55
Senior manager/manager 3 years’ experience −56.09
knowledgeable – client 4–6 years’ experience 11.66
industry >6 years’ experience 44.44
Very knowledgeable 3 years’ experience −57.26
audit team 4–6 years’ experience 14.52
>6 years’ experience 42.74
a Utility values are interval data scaled to an arbitrary additive
constant within each attribute using the ‘Zero-Centred Diffs’
method.
shown in histogram graphic form in Figure 1 Relative
importance scores measure how much influence an
attribute has on a person’s choices An attribute with
a high importance score is more influential because the
difference between the average utility values at the ‘best
level’ and the ‘worst level’ for such an attribute is high
Since the relative importance scores of the 10 attributes total 100, if the attributes were equally preferred by respondents, the importance score of each attribute would be 10.4
Table 4 and Figure 1 indicate that the most important attribute for respondents is ‘Audit firm size’ (relative importance score 13.63) The average utility values (Table 3) indicate that the preferred levels for all respondents are, firstly, ‘Big N auditor’ average utility value 52.86) and then ‘Mid-tier firm’ (average utility value 8.64), since the average utility values for both levels are positive
Other attributes considered important by respondents (relative importance scores greater than 10) in order
of relative importance are ‘Partner/manager attention
to audit’ (relative importance score 12.72), ‘Senior manager/manager knowledgeable – client industry’ (relative importance score 11.04), ‘Very knowledgeable audit team’ (relative importance score 10.65), ‘Commu-nication between audit team and client management’ (relative importance score 10.62), ‘Audit firm industry experience’ (relative importance score 10.51) and
‘Partner knowledgeable about client industry’ (relative importance score 10.34) The least important attributes for respondents are ‘Audit quality-assurance review’,
‘Audit partner tenure’ and ‘Provision of non-audit services’ (relative importance scores less than 10)
Within each attribute the level preferred by
respon-dents is provided by the average utility values (Table 3) For the attribute ‘Partner/manager attention to audit’, respondent preference is for a ‘high activity level’ (aver-age utility value 58.24) Respondents prefer a minimum level of knowledge of at least four years for the attributes
‘Partner knowledgeable about client industry’, ‘Senior manager/manager knowledgeable – client industry’, and
‘Very knowledgeable audit team’, since the average utility values for levels ‘4–6 years’ experience’ (average utility values 9.72, 11.66 and 14.52, respectively) and
‘More than 6 years’ experience’ (average utility values 42.55, 44.44 and 42.74, respectively) are positive for all attributes Respondents prefer regular communication
Trang 7Table 4 Attribute relative importance scores for all
complete responses (N = 81)
Relative Importance
Audit firm industry experience 10.51
Audit quality assurance review 5.15
Partner/manager attention to audit 12.72
Communication between audit team
and client management
10.62
Partner knowledgeable about client
industry
10.34
Senior manager/manager
knowledgeable – client industry
11.04
Very knowledgeable audit team 10.65
with client management, whether formal or informal
(average utility values of 33.86 and 15.73, respectively)
for the attribute ‘Communication between audit team
and client management’ For the attribute ‘Audit firm
industry experience’, the level ‘specialist’ (average utility
value 50.61) is preferred by respondents
Discussion
The study found that, in general terms, users of audit
services consider audit team attributes to be relatively
more important than audit firm attributes in their
perceptions of audit quality All five audit team attributes
were found to be relatively more important since their
relative importance scores were greater than 10 Only two audit firm attributes had relative importance scores greater than 10 These two attributes were audit firm size and audit firm industry experience The results for each
of the 10 attributes are discussed in descending order of relative importance
Audit firm size
This attribute was ranked as the most important attribute In terms of attribute levels, respondents indicated a preference for Big N and mid-tier audit firms compared to local firms This result is not surprising since audit firm size has been demonstrated to be an important factor in perceptions of audit quality in prior literature (see, for example, DeAngelo 1981; Francis 2004), with audit firm size serving as a proxy for audit quality, based on the assumption that larger audit firms are more competent and independent than smaller firms, resulting in audits of a higher quality
Partner/manager attention to audit
Respondents ranked this attribute second in terms
of relative importance This ranking emphasises the perception by respondents of the importance of the audit partner/manager in providing a high level of audit quality The attribute level with the highest average utility value was ‘high activity level’ This result supports findings of studies such as Knechel (2000), who observes that, since auditing is inherently a judgement and
15.00 10.00
5.00 0.00
Audit firm size.
Partner/manager attention to audit
Senior manager/manager knowledgeable -client
industry Very knowledgeable audit tea m
Communication between audit team and client
management Audit firm industry experience Partner knowledgeable about client industry
Provision of non-audit services Audit partner tenure Audit quality assurance review
Figure 1 The relative importance of attributes for all respondents
Trang 8decision-making process, audit quality is particularly
contingent upon both the judgement and
decision-making qualities of the members of the audit team and
the audit partner
Senior manager/manager knowledgeable – client
industry
Respondents ranked this attribute third most important
in their perception of audit quality Greater average
utility values were assigned to the levels ‘4–6 years’
experience’ and ‘More than 6 years’ experience’
compared to the level ‘3 years’ experience’, thereby
rating more experience as more important in perceptions
of audit quality The importance accorded to this
attribute is, again, likely explained by recognition that the
audit manager is closely connected with the individual
audit procedures and practices that affect audit quality
Audit managers are responsible for the conduct of the
audit and the supervision and review of the work of the
audit team Consequently, audit managers are pivotal in
ensuring that the audit is conducted to a high standard
Very knowledgeable audit team
Respondents ranked this attribute fourth most
im-portant They assigned higher average utility values
to the levels ‘4–6 years’ experience’ and ‘More than
6 years’ experience’ than to the level ‘3 years’ experience’,
thereby indicating more experience as more important
in perceptions of audit quality This finding supports the
results of Zerni (2008), who argues that audit quality
is related to the characteristics of the audit engagement
staff; that is, to audit team characteristics, which include
factors such as the technical competence, knowledge and
experience of the audit team
Communication between audit team and client
management
This attribute was ranked fifth in terms of relative
importance Respondents assigned the highest average
utility value to the level ‘Formalised and regular’
communication and higher average utility values to the
level ‘Informal and regular’ compared to ‘ad hoc’, further
emphasising the importance of regular communication,
whether formal or informal, as opposed to ad hoc
communication
Audit firm industry experience
Respondents ranked this attribute sixth in terms of
relative importance, indicating that audit firm industry
experience is considered less important than other attributes in perceptions of audit quality Within the attribute respondents assigned the greatest average utility value to the audit firm being an industry specialist Prior studies (see, for example, Hogan and Jeter 1999; Deis and Giroux 1992; Solomon et al 1999) support
a link between audit firm industry experience and audit quality These studies argue that because industry specialists have more experience, have financial savings (economies of scale) and a higher concentration of clients, they will make better judgements and therefore provide audits of higher quality Further, studies by Craswell et al (1995), Knechel et al (2007) and Lowensohn et al (2007) suggest that participants in the audit market perceive differences in audit quality due to factors such as industry specialisation While the result in this study supports prior research in finding that respondents assigned the greatest utility to the ‘specialist’ attribute level, it also extends earlier research by finding that industry experience is relatively less important than other attributes in assessing audit quality
Partner knowledgeable about client industry
Respondents ranked this attribute seventh in terms of relative importance, indicating that it was somewhat less important in perceptions of audit quality The attribute levels with the highest/lowest average utility values were
‘More than 6 years’ experience’ and ‘3 years’ experience’, respectively These findings indicate that users of audit services, while not considering partner knowledge about the client industry to be particularly important in their assessments of audit quality, nevertheless prefer a more experienced partner compared to a less experienced one
An explanation for this finding is that the role of the audit partner in the conduct of the audit is somewhat different from that of the audit manager and audit team While the audit partner has overall responsibility for the audit engagement, it is the responsibility of the audit manager to coordinate and supervise the execution of the audit program, and the responsibility of the audit team
to undertake the audit procedures Users of audit services appear to be aware that while the audit partner bears the responsibility for the audit, it is the other members of the audit team and their connection to individual audit procedures and practices that play a more significant role
in achieving an audit of high quality
Provision of non-audit services
Respondents ranked this attribute eighth in relative importance, indicating that they did not consider this attribute to be particularly important in their perceptions of audit quality However they assigned
Trang 9the greatest average utility value to the level ‘Less than
30% of audit fees’ The result regarding the average
utility value is not surprising given the significant and
ongoing attention that has been given to the issue of
NAS provision by audit firms in both the academic and
professional literature and by regulators and legislators
in recent years In particular, the provision of NAS has
been the subject of considerable scrutiny and recent
legislative and regulatory change in Australia (CLERP 9)
and elsewhere (e.g., SOX in the US) By indicating a
preference for limiting the provision of NAS by audit
firms, respondents appear to support recent legislative
and regulatory efforts on this issue
Audit partner tenure
Respondents ranked this attribute ninth in relative
importance in their perceptions of audit quality,
indicating that they did not consider audit partner tenure
to be very important However, respondents assigned
the highest average utility vales to the level ‘5 years or
less’ The result regarding the average utility value is
most likely due to audit partner tenure having received
significant attention by regulators and the auditing
profession Specifically, CLERP 9, Australian Securities
and Investments Commission’s Policy Statement PS 187
Auditor Rotation, and standards set by the Accounting
Professional and Ethical Standards Board mandate lead
audit and audit review partner rotation every five
years The intent of these regulatory and professional
mandates is to restore public confidence in the auditing
process and in the quality of that process Nevertheless,
it is interesting to note that respondents consider
this attribute to be relatively less important in their
perceptions of audit quality
Audit quality assurance review
In terms of relative importance respondents ranked this
attribute the lowest for all attributes (tenth) Within
the attribute respondents assigned the greatest average
utility value to the level ‘External quality assurance
review’ Recent attention has been given to the issue
of audit quality review For example, the Audit Quality
Review Board (AQRB) was established in 2006 with the
stated objective of undertaking independent, transparent
monitoring of the quality of assurance services in order
to enhance audit quality The intent of this initiative
is aimed at restoring public confidence in the auditing
process and in the quality of that process Given this
intent, it is interesting to find that respondents consider
this attribute to be relatively less important in their
perceptions of audit quality
Implications
To date, there is limited empirical evidence of the attributes that affect perceptions of audit quality and limited evidence regarding the relative importance of those attributes for users of audit services The findings from this study are important because it is these percep-tions that determine the credibility of the audit report and are associated with confidence in the integrity of the financial reporting system This confidence is important
to capital market participants and plays a prominent role
in the effective allocation of economic resources (Coffee 2001; Monroe and Tan 1997; Wallman 1996)
The findings of this study have implications at an international level As previously indicated, corporate collapses and audit failures and the ensuing investiga-tions have resulted in significant changes to regulatory arrangements in an effort to enhance the reliability and credibility of financial statements (e.g., CLERP 9
in Australia, SOX in the US and the Combined Code
in the UK) More recently the GFC has seen policy makers again focus attention on the importance of
an effective audit function as a key component in
effective capital markets Examples include the Audit Quality in Australia – A Strategic Review (2010) by the
Treasury in Australia, the final report of the Advisory Committee on the Auditing Profession in the US and
the release in the UK of The Audit Quality Framework
(2008)
These reports have identified key drivers (indicators) central to achieving high audit quality and, in particular, have recognised the importance of the culture within au-dit firms and auau-dit partner and staff skills (i.e., auau-dit team attributes) as important drivers of audit quality The International Forum of Independent Audit Regulators (IFIAR) has also endorsed these drivers of audit quality These developments have further encouraged regulators and policy makers at an international level to focus
on these drivers of audit quality The findings of this study that users of audit services consider audit team attributes to be relatively more important than audit firm attributes in their perceptions of audit quality, will assist regulators and policy makers internationally to address any real or perceived threats to these drivers of audit quality
The findings also have implications for regulators, the accounting profession and audit firms The findings have implications for regulatory and professional bodies, which, in seeking to improve audit quality, have focused
on audit firm factors such as audit tenure (both firm and partner), the provision of NAS and audit quality assurance reviews This focus, however, has been
determined more by a priori arguments and normative
assertions than by empirical evidence (Schelluch and Thorpe 1995) The findings of this study provide direct
Trang 10evidence that, relative to audit team attributes, the
only audit firm attributes relatively more important
in perceptions of audit quality are audit firm size and
audit firm industry experience The findings of the
study are therefore useful in assisting regulatory and
professional bodies in formulating policy based on
direct empirical evidence of the relative importance of
attributes perceived to affect audit quality by users of
audit services
The finding that, in general terms, audit team
attributes are relatively more important than audit
firm attributes is also relevant to audit firms in
communicating and promoting themselves with clients
and potential clients Despite the greater importance
accorded to audit team attributes, generally speaking,
users of audit services must rely on attributes they can
observe, particularly audit firm attributes (specifically
audit firm size) Nevertheless, the opportunity exists
for audit firms to make available through their
com-munications and promotions with clients, particularly
prospective clients, information about their audit team
and its characteristics Making audit team characteristics,
particularly those characteristics that have been found in
this study to be relatively more important in perceptions
of audit quality, more publicly visible and available to
clients may be a more effective means of demonstrating
and signalling audit quality than promoting audit firm
characteristics
This opportunity may be of particular importance to
mid-tier and local audit firms, who may differentiate
themselves and demonstrate audit quality through
emphasising audit team attributes such as the level
of partner involvement in the audit and their audit
teams’ knowledge both generally and in specific client
industries This may enable non-Big N audit firms to
signal to potential purchasers the quality of their services
and obtain fee premiums not previously available to
them
The findings also have implications for the literature in
terms of understanding the nature of audit quality First,
consistent with prior research, the study finds that audit
quality is perceived as a multi-dimensional construct
This was demonstrated by the relative importance
assigned by respondents to both sets of audit quality
attributes and the trade-offs they made within and
between these sets Second, the finding that audit team
attributes are perceived as relatively more important in
perceptions of audit quality than audit firm attributes is
consistent with the findings of Schroeder et al (1986),
Carcello et al (1992), Herrbach (2001) and Knechel
et al (2007) but inconsistent with the findings of
Warming-Rasmussen and Jensen (1998), who found
audit firm factors to be more important The
current study lends weight to the greater
per-ceived importance of audit team factors and
sup-ports the suggestion that the results of
Warming-Rasmussen and Jensen (1998) may have been culturally driven
Alan Kilgore, Renee Radich and Graeme Harrison are in the Department of Accounting and Corporate Governance
at Macquarie University.
Notes
1 The AQRB’s function is to review the systems, processes and controls applied by audit firms to ensure that they meet the independence and quality standards required in audits of listed entities.
2 The ACA system rescales utility data using a normalisation method termed ‘Zero-Centred Diffs’ so that each respondent has equal impact when computing average utility values for all respondents.
3 Horng (2005) indicates that due to the arbitrary origin within each attribute, the utility values of levels between attributes (e.g.,
‘Audit-partner tenure of 5 years or less’ versus ‘External quality assurance review’) cannot be directly compared Horng (2005) also points out that since utility values are interval data, they do not support ratio operations Therefore, when comparing utility values within the same attribute, a level with a utility value of
30 is not twice as desirable as a level with a utility value of 15 However, the directionality of attribute-level utility values does reveal the overall preferences of respondents for levels within an attribute For example, for the attribute ‘Audit firm size’ it can be concluded that, on average, respondents prefer a ‘Big N auditor’ (average utility value 52.86 in Table 3) to either a ‘Mid-tier firm’ (average utility value 8.64) or ‘Local firm’ (average utility value
−61.50)
4 Horng (2005) points out that, unlike average utility values, relative importance scores are ratio data, have a meaningful zero point and are relative to the other attributes Therefore, an attribute with a relative importance score of 20 is twice as important as one with a relative importance score of 10 The relative importance scores reported in Table 4 can be interpreted in the following way Using the attributes ‘Audit firm size’ and ‘Audit partner tenure’
as an example, the ‘Audit firm size’ attribute (relative importance score 13.63) is seen as being more than twice as important as the
‘Audit partner tenure’ attribute (relative importance score 6.39).
References
Advisory Committee on the Auditing Profession 2008, Final Report, Department of the Treasury, Washington Available at http://ustreas.gov
Ashton, R.H and Willingham, J.J 1988, ‘Using and Evaluating
Audit Decision Aids’, Auditing Symposium IX (University of
Kansas): Proceedings of the 1988 Touche Ross/University of Kansas Symposium on Auditing Problems School of Business,
University of Kansas, Kansas
Aspect Annual Reports Online Accessible at:
http:/www.aspectfinancial.com.au/af/home?xtm-licensee = annualreportsonline
Australian Financial Services Directory Accessible at: http://www.afsd.com.au/directory.htm
Australian Securities and Investments Commission 2007,
‘Policy Statement 187 Auditor Rotation’, Australian Securities
and Investments Commission, Sydney