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Investigation of Ethical Decision Making Towards Ethical Issues in the Construction Industry

                                                                                                  Vol.54  No.3 & 4  2019




        unethical behaviour through the     data and testify the hypotheses.
        mediating structure of the decision-  The variance must be reliable
        making process of the individual.   and valuable. The reliability of the   The foundation of
        The decision-making process in      data in the questionnaire survey         ethical decision
        the model functions as a central    was tested using Cronbach’s
        processing unit with its own internal   coefficient alpha (α).The estimate   making involves
        characteristics, such as the cognitive   of Cronbach’s coefficient alpha (α)
        style of the individual, the type of   (often symbolised by the lower-case      choice and
        data acquisition and processing, and   Greek letter α) should be interpreted
        the perceived loss and reward levels,   just like other estimates of internal   balance; it is a
        which influence the decision. The   consistency.                            guide to discard
        model also differentiates between
        the degree of influence that the    Phase 4: Conclusion and                  bad choices in
        decision-maker perceives and the    Recommendation
        influence that the various factors   Conclusion was produced                 favour of good
        have.                               based on the data collected.             ones (Hojnacki,
                                            The recommendation would be
        Research                            generated based of the conclusion               2004).
                                            to improve the current situation and
        Methodology                         overcome the problem encountered

                                            in this research.
        The occurrence of ethical decision
        making through self- administered
        questionnaires was evaluated with   Data Analysis and
        quantitative data in this research   Discussion                         A total number of 108 (75%) out of
        categorising four (4) phases:                                           144 respondents held degrees, 6
                                            The questions included gender of the   people (4%) were from a diploma
        Phase 1: Secondary Data Collection
                                            respondent, age of the respondent,   background. 21% which made up of
        The data for literature review      education level of the respondent,   30 people of the respondents held
        collected from references such as   designation of the respondent       a masters. All in all, it can be seen
        reference books, journals, articles   and working experience of the     majority of the total respondents
        and some from electronic sources,   respondents either within company’s   are degree graduates who are
        websites.                           organisation or within construction   practising in quantity surveying
                                            industry. The findings on the       firms in Malaysia. None of them
        Phase 2: Primary Data Collection    respondent’s gender information     are from ‘others’ qualification. The
        The questionnaire for the survey    shows that most of the respondents   designation of respondent was
        was distributed to 200 numbers      were female which concluded 75%     taken into consideration because the
        of quantity surveyors working in    (108) of the total respondents. Male   data has a significant impact on the
        consultant’s firm in Federal Territory   respondents concluded 25% (36)   result of the survey. It shows that
        of Kuala Lumpur through email and   from the total of 144 respondents.   the respondent’s high-level position
        by walk-in to the organisations.    Respondents who were age 20-30      is commonly due to their increased
        However, only 144 respondents out   years old shows the uppermost       experience in the construction
        of 200 samples have responded       percentage which was 126 numbers    industry, with experience leading to
        to the questionnaire survey, which   of respondents (88%). Then there   the viability of the collected data.
        indicate 72% responses.             were 12 numbers of respondents      The highest percentage was 13%
                                            (8%) age 31 to 40 years old and     (120) which was Quantity Surveyor,
        Phase 3: Data Analysis              the lowest was 6 numbers of         followed by Senior Quantity Surveyor
        The data collected was analysed     respondents (4%) age 41 to 50 years   with 13% (18) and Technical
        using Social Science Statistical    old. The qualification of respondents   Assistant QS which determined as
        Packages (SPSS) version 22.0.       was to identify the academic        others with 3% (4). The lowest was
        Statistical SPSS software was       background of each respondent and   Principle/Director with 1% (2). The
        used to test the reliability of the   the different perspective from them   results certainly have an important
                                            towards the subject of this research.   effect on the data collected. The data



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