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STS560 Haniza Yon et al.
            technology already used in the financial services sector, which make it difficult
            for most people to understand, have impeded the adoption of even more
            advanced 4IR technology. Despite the industry’s slowness to adapt, change
            inevitably continues; for instance, the number of mobile banking users has
            been increased year by year. Financial institutions will need  to continue to
            foster innovation and to attract entrepreneurial talents in order to give users
            greater access to the financial system.
                Researchers have found personality factors to be important predictors of
            workplace performance, turnover, and citizenship work behaviour (Barrick &
            Mount, 1991; Borman & Motowidlo, 1997; Boudreau et al., 2001; Campbell,
            1990; Campbell & Knapp, 2001). We embarked on this research to study the
            patterns of behaviour among employees in the financial services industry in
            Malaysia,  with  a  focus  on  attributes  that  are  important  in  a  4IR  work
            environment  in  which  FinTech  is  taking  centre  stage.  Specifically,  this
            behavioural  skills  study,  which  includes  understanding  and  validating
            noncognitive factors relevant to the 4IR work environment, represents one of
            the  important  contributions  we  are  making  to  both  the  financial  services
            industry and human resource literature.

            Table 1: Summary of Psychometric Properties

                                Range      Range                 Gender      Gender
                                                                 (p<.01)
                                 Item                 Person   No. showing   Main Effect
                  Factor                  Item Outfit   Reliabilit
                               Location                           DIF        (t(134))
                                                        y
             Flexibility      -1.15 - 1.32   0.83 - 1.42   0.80    -          -2.09*
             Customer-Service
             Orientation      -1.25 - 1.35   0.82-1.34   0.79      2          1.95
             Creativity       -1.26 - 1.00   0.82-1.46   0.81      -          -0.38
             Empathy           0.46 - 0.63   0.79-1.58   0.77      -          0.33
             Prob.-Solv. &
             Resourcefulness   -1.57 - 0.92   0.81-1.70   0.79     1          -1.61
             Initiative        -0.87-1.24   0.84-1.72   0.79       -          0.61
             Effectiveness     1.02-1.37   0.86-1.31   0.77        -          0.32
             Entrepreneurship   -1.01-1.29   0.71- 1.40   0.76     -          -0.83
             Emotional
             Intelligence      -1.4-1.36   0.92-1.06   0.83        -          -0.19
             Resilience        -0.58-0.60   0.86-1.10   0.84       -          -0.91
             Execution         -0.95-0.84   0.85-1.22   0.79       -          1.21
             Prob.-Solv. &
             Decision-Making   -0.88-0.46   0.96-1.10   0.75       1          0.17
             Self-Confidence   -0.97-1.26   0.84-1.19   0.75       -          2.20*
             Productivity      -0.79-1.11   0.93-1.31   0.79       -          1.60
             Innovation        -1.16-1.06   0.88-1.09   0.78       -          -1.89
            * p < .05
                The five-factor personality model developed by workers such as Goldberg
            (1990)  has emerged as the dominant framework  in personality research. It


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