uncharted territory: investigating individual business ethics in cyprus
TRANSCRIPT
Uncharted territory:investigating individualbusiness ethics in Cyprus
Maria Krambia-Kapardisand Anastasios Zopiatisn
The research purpose of the study is to investigate and identify correlates of ethical behaviour and
attitudes of individuals currently working or pursuing a business-related graduate degree in Cyprus.
Analysis of the quantitative questionnaire revealed that the majority of the respondents had a concept of
‘ethical behaviour’, consider ethics important, and hold attitudes that are conducive to ethical behaviour
in business. In addition, findings revealed significant differences in three correlates: age, gender and
position. Finally, reflecting the findings, the authors suggest specific actions that aim to improve ethical
decision making in the Cyprus business environment.
Introduction
Studies on various issues in business have
concentrated on surveying developed economies
and/or powerful countries. There is an apparent
lack of studies, however, on less-developed or
developing economies and on countries with
populations of less than a million people. Cyprus,
an island of approximately 800,000 inhabitants, is
part of this category; an island that has endured
years of occupations and invasions but has
managed to surmount any economic and social
hardships and join the European Union in 2004.
An example of Cyprus’ outstanding economic
situation is not only the fact that it is adopting the
Euro in January 2008 but, also, the recognition it
received by the Index of Economic Freedom 2007
(Wall Street Journal 2007). It has been classified
20th out of 157 countries included in the Index.
Finally, Cyprus, though not one of the 64
countries studied by Hofstede in his seminal work,
falls into the Uncertainty Avoidance quadrant,
with low tolerance on ambiguity. As Hofstede
himself states, any country with more than 50% of
its population practising the Greek Orthodox or
Catholic religion, is found to be in the ‘Uncer-
tainty Avoidance quadrant’ with low tolerance on
ambiguity. Hofstede states this ‘creates a highly
rule-oriented society that institutes laws, rules,
regulations, and controls in order to reduce the
amount of uncertainty within the population’
(www.geert-hofstede.com). In this sense, Cyprus
is a good example of a country plagued by conflict
for most of its history but which has achieved very
significant economic and social development.
Findings from the survey reported below should
be of interest to similar countries.
Literature review
There is a large body of literature on business
ethics and much research has been carried out in
nRespectively, Associate Professor of Accounting and Lecturer in
Hotel and Tourism Management, both at Department of Hotel and
Tourism Management, Cyprus University of Technology, Limassol,
Cyprus.
r 2008 The AuthorsJournal compilation r 2008 Blackwell Publishing Ltd, 9600 Garsington Road,Oxford, OX4 2DQ, UK and 350 Main St, Malden, MA 02148, USA138
Business Ethics: A European ReviewVolume 17 Number 2 April 2008
this area. Business academics have been reporting
empirical studies in this field since the 1980s when
the outgoing chairman of the US Securities
Exchange Commission, John Shad, donated the
bulk of a $30 million gift to Harvard Business
School to fund a business ethics program (Brophy
1987).
Perspectives on ethical behaviour
Some researchers have attempted to explain and
provide insights into why individuals engage in
unethical behaviour. There are five theories,
which appear to highlight the key dimensions of
why a manager would be unethical:
(a) Rational Choice Theory: While the theory was
proposed by economists (Piliavin et al. 1986,
Michaels & Miethe 1989) to explain and
predict behaviour generally and decision
making in particular, it is also applicable in
the case of ethics in business. The individual
assesses the rewards and punishments with
certain behaviours, by carrying out a cost/
benefit analysis. If the expected benefits
exceed the costs then the individual will
proceed with the behaviour.
(b) Deterrence Theory: A particular behaviour is
deterred in direct proportion to the perceived
probability of being caught and the severity of
the punishment for the behaviour when
caught (Buckley et al. 1998: 72). If, for
example, a manager feels that his actions will
be exposed, thus losing his position and being
blacklisted from finding a similar position,
then he is likely not to behave in an unethical
manner.
(c) Social Bond Theory: Developed by Hirschi
(1969), it predicts that unethical behaviour
emerges from a weakening of social bonds to
mainstream society. As Buckley et al. (1998:
72–73) state, ‘if people feel disconnected from
society, they are more prone to behave in ways
which are not socially acceptable’.
(d) Differential Association-Reinforcement Theo-
ry: This is a combination of differential
association theory of deviance (Sutherland &
Cressey 1970) and social learning theory
(Bandura 1972) and was proposed by Akers
(1985). If a manager is a member of a deviant
group that supports unethical behaviour then
he is likely to behave in the same way.
(e) Everybody Else Does it Theory: This is an
attribution theory (Wiese & Buckley 1997)
that simply assumes that if others are un-
ethical and it is common and acceptable
behaviour, then to keep up with them,
managers too engage in unethical behaviour.
In the same way that monolithic theory cannot
account adequately for criminal behaviour (Bartol
2002: 1–7), none of the theoretical perspectives
mentioned above is without its limitations and,
furthermore, they are not mutually exclusive. The
fact of the matter is that they all ignore that
different individuals may choose to act ethically
for different reasons. No study has yet tested the
predictive utility of the five theories. Therefore, a
researcher at best can hope to identify the best
correlates of ethical behaviour as in the study
reported below.
The present authors believe that all five theories
are applicable in Cyprus and because these
theories explain individual ethical behaviour and
not a culture-wide ethical behaviour, it is believed
that such theories basically explain why one
would behave in a certain way. The geographical
position of Cyprus attracts a variety of people
from various part of the world in search of work.
Drawing on Kapardis (2006: 147–148), according
to the Statistics Department of the Ministry of
Labour, in 2005 there was a total of 45,886 people
working in the Republic of Cyprus from non-EU
countries. Workers from EU member countries
numbered 13,168 in the same year. An additional
number of 7,745 people applied for asylum.
Finally, according to the immigration unit of the
Cyprus Police the number of illegal immigrants
in Cyprus was estimated to be approximately
30,000. Thus, about 10% of the population are
foreigners. What is noteworthy, also, is that the
population multiplies, especially between May
and September every year, as about 1 million
tourists visit Cyprus. Consequently, Cypriots’
behaviour and attitudes to different aspects of
life have been influenced by many exogenous
Business Ethics: A European ReviewVolume 17 Number 2 April 2008
r 2008 The AuthorsJournal compilation r 2008 Blackwell Publishing Ltd. 139
elements, classifying Cyprus as a country where
all theories are applicable.
Studies of correlates of ethics in business
Many researchers have addressed the relationship
between ethics and gender (Collins 2000). ‘Ethical
behaviour’ in this context has been used (Ruegger
& King 1992) to refer to one’s perception of
business ethical conduct, i.e. what stance one
adopts towards certain business practices (Weeks
et al. 1999). Females have been reported as being
more ethically sensitive than males (Peterson et al.
1991, Ruegger & King 1992, Harris & Sutton
1995, Dawson 1997, Weeks et al. 1999, Coate &
Frey 2000, Larkin 2000, Simga-Mugan et al.
2005). Simga-Mugan et al. found that females
were more ethically sensitive than males on all 16
vignettes they used. One possible explanation for
the apparent gender differences reported has been
in terms of gender differences in the early
socialization of females (Peterson et al. 2001:
226). In this vein, Church et al. (2005: 363) have
argued that ‘gender was significant, both directly
and in interaction with moral development’. For
their part, Peterson et al. (2001) claimed that,
whilst the young females demonstrated a higher
level of ethical behaviour than males, the elder
males showed a slightly higher level of ethical
behaviour than females in the groups they
surveyed. Dawson (1997) has argued that whether
there are gender differences or not depends on the
particular situation in terms of the context of the
scenario or ethical situation investigated.
A number of authors (e.g., Singhapakdi & Vitell
1990, Davis & Welton 1991, Radtke 2000),
however, have reported no gender differences in
business ethics. As Smith & Oakley (1997: 39)
state, ‘empirical evidence of gender influences on
ethical viewpoints continues to present confused
and often contradictory results’ and that may well
be due to gender differences in personal moral
orientation which may well be affected by the type
of moral problem being faced (Schminke &
Ambrose 1997). Furthermore, gender differences
may well be context-specific (Dobbins & Platz
1986, Derry 1989, Weber 1990, Trevino 1992).
It can be seen that, while no conclusion is possible
on gender differences on the basis of the available
literature, it does appear that age may well
mediate the relationship, if any, between gender
and ethical judgements.
The influence of managers’ nationality on their
ethical sensitivity has been examined by
Simga-Mugan et al. (2005) in a study of 103
managers in Turkey and 57 in the United States
using 16 vignettes. They found that Turkish males
were more ethically sensitive than their US
counterparts (149). One possible explanation
provided by Simga-Mugan et al. for their country
differences is that ‘ethics of care’ is emphasized in
Turkey whereas in the United States it is ‘ethics of
justice’ that is emphasized (155). The difference
reported between managers in the two countries is
of interest given that, according to the
Transparency International report regarding per-
ceived levels of corruption in 15 countries for
2005, Turkey had a mean score of 3.5 (i.e. ranked
65th) whereas that of the United States was
7.6 (i.e. 17th). This index, therefore, casts doubts
on the significance of Simga-Mugan et al.’s (2005)
findings that Turkish males are more ethically
sensitive than their US counterparts.
Tsalikis & LaTour (1995) investigated differ-
ences in the way bribery and extortion were
perceived by American and Greek business
students and found that: (a) ethical reactions to
bribery and extortion vary by the nationality of
the person offering the bribe and the country
where the bribe is offered; and (b) Greeks
perceived some of the scenarios used as being less
unethical than did Americans.
The importance of culture in MBA students’
ethical ideologies has also been demonstrated by
Axinn et al. (2004), who compared students in the
United States, Malaysia and Ukraine and con-
cluded, like Christies et al. (2003), that culture,
however defined, affects both values and ethics.
Christie et al. have differentiated between
(a) respondents’ general attitudes towards
business ethics and (b) their attitudes towards
questionable business practices and concluded
that the former are related to their personal
integrity while the latter are related ‘to the
external environment and gender, as well as to
their personal integrity’ (263).
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Bearing in mind that a manager’s age usually
correlates with work experience, the relationship
between age and ethical beliefs was examined by
Peterson et al. (2001), who found that younger
aged professionals (30 years or less) exhibited a
lower standard of ethical beliefs; in other words,
‘as managers get older they become more . . .
ethical’ (230). Peterson et al.’s conclusion confirms
the finding reported earlier by Trevino (1986) that
the ethical judgements displayed by a practitioner
are related to his/her career stage. Of course, a
manager does not exist in a vacuum but in relation
to significant others in the company. Not surpris-
ingly, therefore, Wiley (1998) has argued that,
regardless of gender, position or company size, a
managers’ ethical behaviour is influenced most by
the behaviour of senior managers and their
immediate supervisors. It can be seen that no
definitive conclusions can be drawn on the basis of
the findings reported in the literature because of
conflicting findings, for example and, also because
no study has examined the importance in man-
agers’ ethical behaviour holding constant other
known correlates. The best that can be surmised
on the basis of the studies discussed above is that
they indicate that a manager’s gender, age, religion
and work experience may well be related to his/her
ethical behaviour.
Research methodology
A quantitative questionnaire was developed and
randomly distributed to 1000 individuals cur-
rently working in Cyprus or pursuing a graduate
business degree (MBA). It was a randomly
selected sample and an attempt was made to
cover all the districts in the non-Turkish part of
Cyprus and all the different industries. The
questionnaire was designed to enable the authors
to:
1. investigate age and gender differences between
professionals with regard to their ethical
perspectives; and
2. investigate probable differences between the
respondents according to their professional
positions.
To ensure a higher response rate, a mixed
distribution method including postal, group and
face-to-face distribution was used to administer
the questionnaire. Finally, utilizing the Statistical
Package for Social Sciences (SPSS), the authors
analyzed the collected data using both descriptive
and inferential statistics. In particular, the authors
utilized independent sample t-test, ANOVA and
Post-hoc multiple comparison tests (Tukey’s
Honestly Significant Difference (HSD) Test) to
identify differences between the respondents as a
function of their gender, age and position cur-
rently held. The authors acknowledge the fact that
when conducting multiple post-hoc comparisons
the family-wise Type I1 error rate is increased.
Unfortunately, this issue has no simple answer.
Rothman (1990) argues that no adjustment is
needed in multiple comparison tests and that each
result should stand on its own and be accepted or
rejected by the work of others. Other scholars (e.g.
Tukey 1991) suggest the utilization of statistical
tests in order to control family-wise error rates.
For our statistical analysis we utilized the Tukey
HSD Test, because it is a very conservative pair-
wise comparison test that minimizes the possibility
of Type I errors. Before administering the survey,
the instrument was tested for reliability by using
the test re-test method.
Findings
From the 1000 questionnaires administered, 565
were completed and returned to the researchers.
Of these, 21 survey questionnaires were incom-
plete, and thus excluded from the study, reducing
the number of usable ones to 544. The overall
usable response rate of 54.4%, the outcome of the
mixed distribution method utilized by the authors,
was viewed as satisfactory considering the low
response rates experienced by other research
activities conducted in Cyprus.
Table 1 displays the demographic and profes-
sional profile of the participants in relation to five
different variables: gender, age, educational back-
ground, professional capacity (position) and the
type of company the respondents are currently
working for.
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Ethics: the corporate culture
As already discussed in the literature review
above, the company context is a salient factor in
investigating the ethical judgements of managers.
Research findings show that about two-thirds of
the respondents’ companies involved had a code
of conduct, 86% did not print dishonest state-
ments in advertisements concerning quality or
comparative prices, 72% would not intentionally
pay a bill late and still claim a discount and,
finally, in over half (55%) of the cases the
respondents were considered by their manager as
an associate rather than an employee.
Views on ethics
Research findings indicate that the majority of the
respondents: considered ethics and ethical actions
important (96%), knew the meaning of ‘ethical
behaviour’ (94%), were in favour of whistle-
blowing legislation being introduced in Cyprus
(82%), believed that teaching Business Ethics to
MBA students can prevent unpleasant situations
(78%), believed that moral standards in business
were not fully developed and could be changed,
and for 62% the ethics in the office was the same
as at home. Two-thirds considered ethical pro-
blem-solving skills relevant or believed they could
be applied to business.
Gender differences
In support of other studies discussed above,
female respondents (see Table 2) were found to
be significantly (po0.05%) more ethical than
their male counterparts as far as the following
issues are concerned: (a) would not falsify their
tax records to save taxes, (b) would not hurt
others to achieve advancement, (c) would not put
on the pressure and load it with incentives and
fear, forcing people to forgo their ethics in the
chase for the profit objective, (d) would not be
willing to head-hunt prospective employees from
their competitors in order to obtain trade secrets
of their prior employer, (e) their ethics in the office
is the same as those at home, and (f) peer pressure
and competition do not make their ethics
different.
Position differences
Managers were found to be significantly
(po0.05%) more ethical on the following items
than those who were employees (not including
students who were not in full-time employment):
(a) they would be willing to accept more than their
share of responsibility for errors in their depart-
ment, (b) if they held too much inventory they
would not make returns on the pretence that the
goods are imperfect or not according to samples
sent, (c) their ethics in the office are the same as
those at home, (d) they would not be willing to cut
corners by selling overripe produce or outdated
products, having too much fat in the ground beef
using the wrong tare weight in meatpacking, (e)
would not accept a foreign country’s customs
even though the EU considers some of them
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Table 1: Demographic and professional profile of the
respondents
Frequency Valid
percentage
Gender
Male 307 56.5
Female 236 43.5
Age
20–25 161 29.8
26–30 144 26.6
31–40 129 23.8
Over 40 107 19.8
Educational background
Secondary school 71 13.3
Bachelor’s/diploma 251 46.9
Masters 197 36.8
Doctorate 16 3.0
Professional capacity
Management 167 30.8
Supervisor 85 315.7
Employee 252 46.4
Not working/student 39 7.2
Type of company
Public company (listed) 65 12.1
Public company (not listed) 16 3.0
Private company 308 57.1
Semi-governmental 60 11.1
Government 51 9.5
Not applicable 39 7.2
(N 5 544).
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Business Ethics: A European ReviewVolume 17 Number 2 April 2008
142r 2008 The Authors
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totally dishonest, (f) would not talk to colleagues
about their promotion application in a public
place, (g) do not believe they can get rich through
financial manipulation, (h) they believe that peer
pressure and competition does not make ethics
different, and (i) would not be willing to head-
hunt prospective employees from their competi-
tors in order to obtain trade secrets of their prior
employer. More specifically, as indicated in Table 3,
the higher the position that a manager holds, the
more ethical he/she is.
Drawing on the correlates of ethical judgements
by managers identified in the literature review
above, one plausible explanation for the differ-
ences found between managers and other employ-
ees may well be differences in age and experience.
Age differences
The respondents were grouped into those younger
than 30 years and those over 30 years (Peterson
et al. 2001). On the basis of the Cyprus Census
(2001), normally by the time someone in Cyprus is
30, he/she has completed their tertiary education,
has got a job and, most likely, has started a
family. Therefore, the authors consider the age of
30 to be a crucial turning point in one’s life. It was
found (see Table 4) that ‘older managers’ are
significantly (po0.05%) more ethical than the
younger ones on the following issues: (a) would
not be willing to use inside information for their
gain; (b) do not believe that peer pressure would
make their ethics different; (c) would not put on
the pressure to perform and load it with incentives
and fear, forcing their people to forgo their ethics
in the chase for the profit objective; (d) if they held
too much inventory they would not make returns
on the pretence that the goods are imperfect or
not according to samples sent; (e) would not be
willing to cut corners by selling overripe produce
or outdated products, or using too much fat in the
ground beef, or using the wrong tare weight in
meatpacking; (f) would not talk to colleagues
about their promotion application in a public
place; (g) do not believe that they can get rich
through financial manipulation; and, finally, (h)
do not admire someone’s wealth regardless of
how it is earned. The positive relationship
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Table 2: Gender differences – independent sample t-test
Statement Sex N Mean SD t Significance
(two-tailed)
Would you falsify your records to save
taxes?
Male 304 1.66 0.473 � 3.435 0.001
Female 232 1.80 0.403
Are your ethics in the office the same as
those you use at home?
Male 301 1.45 0.499 3.746 0.000
Female 234 1.29 0.457
Does peer pressure and competition
make your ethics different?
Male 301 1.56 0.497 � 2.995 0.003
Female 230 1.69 0.463
Would your hurt others to achieve
advancement?
Male 302 1.89 0.317 � 2.112 0.035
Female 233 1.94 0.238
Will you put on the ‘pressure to perform’
and load it with incentives and fear,
forcing your people to forgo their ethics in
the chase for the profit objective?
Male 298 1.78 0.416 � 3.455 0.001
Female 231 1.89 0.311
Would you be willing to head-hunt
prospective employees from your
competitors in order to obtain trade
secrets of their prior employer?
Male 298 1.69 0.464 � 2.825 0.005
Female 231 1.80 0.403
Note: Equal variance assumed.
1 5 Yes; 2 5 No.
Significance Level 0.05 (po0.05).
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Table 3: Differences according to position (one-way ANOVA and Post-Hoc Multiple
Comparison Tests; Tukey HSD)
Source DF Sum of
squares
Mean of
squares
F ratio F probability
(significant)
Mean Post-Hoc Analysis
(Tukey HSD)
VAR: Are your ethics in the office the same as those you use at home? M S E NWS
Between groups 3 3.113 1.038 4.476 0.004 M: 1.35 n
Within groups 531 123.100 0.232 S: 1.45
Total 534 126.213 E: 1.34 n
NWS: 1.62 n n
VAR: Does peer pressure and competition make your ethics different?
Between groups 3 2.734 0.911 3.923 0.009 M: 1.68 n
Within groups 527 122.422 0.232 S: 1.48 n n
Total 530 125.156 E: 1.64 n
NWS: 1.53
VAR: Would you be willing to head-hunt prospective employees from your competitors in order to obtain trade secrets of their prior
employer?
Between groups 3 2.579 0.860 4.496 0.004 M: 1.70
Within groups 525 100.370 0.191 S: 1.76 n
Total 528 102.949 E: 1.78 n
NWS: 1.51 n n
VAR: Would you be willing to accept more than your share of responsibility for errors in your department?
Between groups 3 4.736 1.579 6.616 0.000 M: 1.30 n n
Within groups 530 126.470 0.239 S: 1.46
Total 533 131.206 E: 1.49 n
NWS: 1.58 n
VAR: If you held too much inventory, would you make returns on the pretence that the goods are imperfect or not according to samples
sent?
Between groups 3 3.508 1.169 5.479 0.001 M: 1.79 n n n
Within groups 507 108.214 0.213 S: 1.62 n
Total 510 111.722 E: 1.65 n
NWS: 1.51 n
VAR: Would you be willing to cut corners by selling overripe produce; outdated products; too much fat in the ground beef; or use the
wrong tare weight in meatpacking?
Between groups 3 1.170 0.390 3.531 0.015 M: 1.92 n
Within groups 518 57.230 0.110 S: 1.87
Total 521 58.400 E: 1.86
NWS: 1.74 n
VAR: Would you accept foreign countries customs even though the EU considers some of them totally dishonest?
Between groups 3 3.012 1.004 5.042 0.002 M: 1.82 n n n
Within groups 528 105.129 0.199 S: 1.65 n
Total 531 108.141 E: 1.70 n
NWS: 1.56 n
VAR: Would you talk to colleagues about their promotion application in a public space?
Between groups 3 2.797 0.932 4.455 0.004 M: 1.79 n
Within groups 526 110.073 0.209 S: 1.71
Total 529 112.870 E: 1.63 n
NWS: 1.66
VAR: Do you believe you can get rich through a financial manipulation?
Between groups 3 2.356 3785 3.384 0.018 M: 1.70 n
Within groups 530 122.987 0.232 S: 1.52 n
Total 533 125.343 E: 1.62
NWS: 1.53
1 5 Yes; 2 5 No.
Note: M, Management (N 5 167); S, Supervisors (N 5 85); E, Employees (N 5 252); NWS, Not Working/Students (N 5 39).nIndicates a significant difference between the four groups. Post-Hoc Analysis (Tukey test): Significance Level 0.05 (po0.05).
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144r 2008 The Authors
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between age and ethical sensitivity is in accor-
dance with similar findings reported by Peterson
et al. (2001).
Limitations of the study
The aim of the study was to identify a profile of
ethical managers, comprising such components as
age, gender, position, educational background,
culture, religion and type of industry one worked
in. However, because of the limited number of
foreigners in the sample (only 9%), it was not
possible to test for culture and religion. Further-
more, no statistical significance was found be-
tween a respondent’s ethical sensitivity and either
educational background or the industry they
worked in. The findings obtained should perhaps
be replicated in a number of countries using the
same instrument so as to develop a profile of the
ethical manager.
Recommendations and conclusions
Reflecting the research findings, the authors
recommend specific actions that aim to improve
ethical decision making in the distinct business
environment of Cyprus.
First, as suggested by the research participants,
the introduction of mandatory business
ethics courses, both at the undergraduate and
graduate level, is recommended. According to
Ferrell and Fraedrich (1991: 1), the primary
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Table 4: Age differences (30 or less vs. more than 30) – independent sample t-test
Statement Age group N Mean SD t Significance
(two-tailed)
Are you willing to use inside information
for your gain?
� 30 300 1.51 0.501 �3.265 0.001
301 229 1.65 0.478
Does peer pressure and competition
make your ethics different?
� 30 297 1.56 0.497 �3.119 0.002
301 232 1.69 0.462
Will you put on the ‘pressure to perform’ and
load it with incentives and fear, forcing your
people to forgo their ethics in the chase for
the profit objective?
� 30 293 1.79 0.409 �2.516 0.012
301 234 1.87 0.335
If you held too much inventory, would you
make returns on the pretence that the goods
are imperfect or not according to samples sent?
� 30 292 1.61 0.489 �3.981 0.000
301 218 1.77 0.421
Would you be willing to cut corners by selling
overripe produce; outdated products; too much
fat in the ground beef; or use the wrong tare
weight in meatpacking?
� 30 297 1.82 0.386 �4.242 0.000
301 224 1.94 0.234
Would you agree with the statement that
ethical problem-solving skills are not relevant
or cannot be applied to the world of business?
� 30 293 1.64 0.481 �1.971 0.049
301 225 1.72 0.450
Would you talk to colleagues about their
promotion application in a public space?
� 30 299 1.64 0.482 �3.315 0.001
301 229 1.77 0.423
Do you believe you can get rich through a
financial manipulation?
� 30 299 1.57 0.496 �3.014 0.003
301 229 1.70 0.461
Do you admire someone’s wealth regardless
how it is earned?
� 30 300 1.64 0.480 �4.025 0.000
301 235 1.80 0.401
Note: Equal variance assumed.
1 5 Yes; 2 5 No.
Significance Level 0.05 (po0.05).
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Business Ethics: A European ReviewVolume 17 Number 2 April 2008
r 2008 The AuthorsJournal compilation r 2008 Blackwell Publishing Ltd. 145
objective of such courses is to ‘prepare the next
generation of business leaders to make informed
ethical decisions by providing them the frame-
work to identify, analyze and control ethical
issues in business decision making’. The emphasis
of such a course should be on issues such as
honesty, conflict of interest, dishonest advertising,
unfair pricing, kickbacks, whistle-blowing, code
of ethics, self-governance and discrimination
issues.
Second, the introduction of a Whistle-Blowing
Protection Act, which aims to protect those who
wish to call attention to unethical and wrongful
acts, in order to avoid harm, is considered
imperative. The recent Helios Airlines airplane
crash that claimed the lives of 121 people, was
followed by numerous claims that many knew
information that could have prevented the acci-
dent but failed to disclose it because of fear of
reprisals. This tragic event reiterates the necessity
for comprehensive whistle-blowing legislation in
the country.
Third, local business organizations should
develop and implement a code of conduct and
ethics in order to determine acceptable behaviours
for all their employees within their environment.
An ethics officer should be appointed to oversee
employees’ compliance with the established code
of conduct and ethics. Organizations should be
convinced of the merits of employing ethics
officers, thus allocating all necessary resources
and granting them direct access to the highest
level of leadership.
While in many nations these three suggestions
are implemented, in Cyprus they are quite foreign
or in their infancy. To be more precise, Business
Ethics courses are not mandatory for either
undergraduate or graduate courses, and neither
is the government thinking of implementing a
Whistle-Blowing Protection Act despite the fact
that Cypriot laws are very similar to the United
Kingdom and such law has been implemented in
the United Kingdom. Finally, almost all interna-
tional companies operating in Cyprus do have a
code of conduct or similar and an ethics officer,
but only a handful of local companies have
commenced writing a code of conduct. Despite
the above, it is worth noting that at least
something is being done, which is a positive step
in the right direction.
The three hypotheses tested have been borne
out by the results. The survey found that the
majority of respondents have a concept of ‘ethical
behaviour’, consider ethics important, and hold
attitudes that are conducive for ethical behaviour
in business. At a general level, a number of
inconsistencies emerged between respondents’
espousing a number of ethical views while, at
the same time, approving of certain unethical
practices in the pursuit of profits. The importance
of demographic characteristics of the respondents
was examined in an attempt to account for
differences found in how ethical dilemmas were
resolved. It was revealed that females, those over
the age of 30 and managers were more ethical
than males, those under the age of 30, and non-
managers. The findings obtained reinforce the
importance of gender, age and work experience in
accounting for the degree of ethical sensitivity of
managers. In view of the fact, however, that the
survey reported has its methodological limitations
(e.g., it is a study of perceptions and not
behaviour) and the fact it has been an exploratory
one and the first of its kind in Cyprus, the findings
reported should be regarded as tentative. Conse-
quently, the need for more research in this area
that will also utilize qualitative research methods
cannot be overemphasized.
Acknowledgements
The authors wish to acknowledge the financial
support for the research provided by Pricewater-
houseCoopers.
Note
1. Type I error occurs when a true null hypothesis is
rejected.
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