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Meshari O. Al-Hajri

63

SBE, Vol.20, No.1, 2017

ISSN 1818-1228

©Copyright 2017/College of Business and Economics,

Qatar University

Hay

et al.

(2008) used data related to a sample

of 130 companies listed on the New Zealand

Stock Exchange, and studied among other

things, the relationship between audit fees and

IA. Their results revealed a positive relationship

between audit fees and IA. Singh

et al.

(2013)

performed a further examination of the fees-IA

relationship in the Australian market using data

related to a sample of 272 publicly listed firms.

Their results revealed a positive association

between audit fees and the existence of IA

function as a proxy for IA usage. Using data

related to a sample of 53 audits from the Hong

Kong market, Ho and Hutchinson (2010)

carried out a similar investigation. Their

results showed a negative relationship between

audit fees and IA. More recently, Zain

et al

.

(2015) recently performed similar examination

in the Malaysian market, using data related

to 74 listed firms. They found evidence of a

significantly negative relationship between

audit fees and IA contribution in external audit.

In sum, empirical findings about the relationship

between audit fees and IA contribution are

mixed and are still inconclusive. Moreover,

it appears that much of prior related research

examining this issue stem from well developed

countries with only little research conducted

in other parts of the world. Besides, to the

author’s knowledge, empirical research about

this relationship is virtually nonexistent in the

context of the Middle East region. Given the

mixed and inconclusive empirical findings

reported about the relationship between audit

fees and IA contribution, this relationship

remains ‘anomalous’ (Hay

et al

., 2006), and,

hence, further examination of this relationship

seems warranted. Therefore, and as indicated

earlier, the current study aims at empirically

examining the relationship between audit

fees and IA contribution using data from the

Kuwaiti market. Such research endeavor aims

at filling the shortage of empirical research on

the IA-audit fee relationship in the context of

developing countries’ markets.

III.

RESEARCH METHODOLOGY

Sample:

To obtain data needed to test the research

questions of interest, a data-gathering

instrument was designed for the purpose

of gathering the needed information. Audit

partners/managers in six audit firms operating

in the Kuwaiti market were contacted and were

requested to provide some information about

a random sample of 15 financial statement

audits for which they have had a supervisory

role. The study’s initial sample consisted of

observations related to 57 audit engagements

(63 percent). Due to missing data, nonetheless,

22 were discarded from the analysis of the

current study. Hence, the study’s final sample

consists of 35 audit engagements.

Model:

As indicted earlier, the main objective of the

current study is to examine the impact of IA

contribution on external audit fees in the

Kuwaiti audit market. The following OLS

regression model is used to examine the

research questions of interest:

FEE = b0 + b1 IA + b2 SIZE + b3 LOCAT +

b4 QUICK + b5 LEVER + b6 ROA + b7 NAS

+ b8 BIG4 + b9 TENURE

Where:

FEE : the natural log of total audit fees;

IA : External auditor’s assessment of the

percentage of external audit work performed

by the audit client’s internal audit staff.

SIZE : the natural log of the audit client’s total

assets;

LOCAT : the natural log of the number of

audit locations visited by the audit team;

QUICK : the audit client’s current assets