Journal of Accounting, Management, and Economics Vol. 19, No.1, 2017, pp. 28-33 Published by Faculty of Economics and Business Universitas Jenderal Soedirman Published online on January 9, 2017 in http://jos.unsoed.ac.id/index.php/jame  Correspondence to: 1Universiti Malaysia Perlis, E-mail: dweehastutihasan@yahoo.co.id 2Universiti Malaysia Perlis, E-mail: idris@unimap.edu.my 3Kolej Universiti Insaniah, Malaysia, E-mail: abdullahosman@insaniah.edu.my Received: November 14, 2016 Revised: November 28, 2016 Accepted: December 19, 2016 INTRODUCTION The workplace deviant behaviour (WDB) is not a new phenomenon in the organization, researches on workplace deviant behavior has been increasing throughout the last three decades (Nielsen, Glaso, & Einarsen, 2017; Farhadi, Omar, Nasir, Zarnaghash & Salehi, 2015; Colbert, Mount, Harter, Witt & Barrick, 2004). Workplace deviant behavior is a voluntary behavior that violates organizational norms significantly and can threaten the well-being of an organization, its members, or both (Robinson & Bennett, 1995). Deviant behaviors are the negative behaviors such as taking company property without permission, insulting colleagues at workplace, or falsify work related matters in return for financial gain. Studies in the United States have quantified the losses caused by these behaviours to incur a losses up to $50 million (Dineen, Lewicki, & Tomlinson, 2006). Understanding the magnitude of losses caused by deviant behaviors has triggered continues research in the area of industrial psychology in an effort to understand the causes of these behaviours. From the previous study there is evidence of some of the factors that may contribute to the occurrence of workplace deviant behavior, these factors of which came from individual factors and situational factors (Colbert, et. al; 2004; Farhadi, Fatimah, Nasir & Shahrazad, 2012 & Diefendorff & Mehta, 2007). Individual factors are factors that are within the individual person as a person's personality differences, age, sex and so forth while situational factors include organizational factors, social factors and interpersonal relationships (Robinson & Greenberg, 1998). Several studies was also conducted to look at the relationship between personality factors against workplace deviant behavior (Salgado, 2002; Bodankin & Tziner, 2009; Lima, Teha & Fah, 2016; Bowling & Eschleman, 2010). Salgado (2002) conducted a meta-analysis which examined the relationship of the big five personality factors (extraversion, agreeableness, conscientiousness, emotional stability and openness to experience) towards counterproductive work behaviour/CWB (a form of deviant behavior of employees in the workplace). In this study the big five factors of personality has managed to become a predictor for absenteeism among counterproductive work behaviour, to deviant behavior and turnover. Results of the study found that conscientiousness has managed to be a predictor of turnover and deviant Relationship between Openness to Experience and Perception to Political Organizations to Workplace Deviant Behavior DWI HASTUTI1, IDRIS MOHD NOOR2, ABDULLAH OSMAN3 1)2)Universiti Malaysia Perlis, Malaysia 3Universiti Insaniah Malaysia, Malaysia Abstract This study aims to determine the relationship that exists between openness to experience (one of the personality traits) and perceptions of organizational politics to workplace deviant behavior. Research was conducted by collecting 263 responses from the civil servants in Pekanbaru, Riau. Applying the latest PLS 3.0 analysis tools the results of this research identified positive correlation between openness to experience and perception of the political organization to workplace deviant behavior. The perception of the organization politics has managed to moderate the relationship between openness to experience deviant behavior in the workplace. Keywords Workplace Deviant Behavior (WDB); Personality traits; Political Organization; PLS-SEM analysis mailto:dweehastutihasan@yahoo.co.id Journal of Accounting, Management, and Economics, Vol. 19, No.1, 2017, pp. 28-33 29 behavior, while extraversion, agreeableness, emotional stability and openness to experience has managed to be a predictor of the turnover. According to John and Srivastava (1999) identified individuals with high openness to experience an individual likes to imagine, are more creative and interested to new experiences and also arousing their curiosity. Furthermore Deary, Watson and Hogston, (2003) said that employees who are more openness to experience are the individuals who are more likely exposed to emotional exhaustion that may lead to CWB. Also asserted by Bolton, Becker and Barber (2010) that individuals who have high openness to experience that will be connected to CWB. In addition to using personality factors as predictors of WDB, some studies have also included factors such as the perception of organizational politics to counterproductive work behavior (Zettler & Hilbig, 2010). The high perceptions of organizational politics may give a negative impact to decrease of organizational commitment and lead to greater job stress (Miller, Rutherford, & Kolodinsky, 2008) so they concluded that the perception of political organizations may increase the occurrence WDB. However, research on WDB has been done in western context, but very little study of WDB is related to Asian context (Farhadi,et, al., 2012), leaving avenue for further exploration especially in the public sector context of Indonesia. So the objective of the research in this study is: a) To examine the relationship between personality of openness to experience and the perception of organizational politics to WDB. To test moderating impact of the perception the political organization for a relationship between openness to experience and WDB. METHODS This study using three variables which is workplace deviance behaviour, personality trait and perception of organizational politics and before distributed to the respondent of all variables in this study done back to back translation process, and below will explain in detail: WDB measurement: Workplace deviant behaviour is measured using Bennett and Robinson’s (2000) Workplace Deviant Behavior Scale, which consists of 19 items question and measure using a likert scale of value from 1 to 7. Item questions will shows how often respondents who engage in WDB. The higher score obtained showed the higher rate of occurrence frequency WDB. In contrast the lower the score obtained indicate the low frequency of occurrence of workplace of deviant behaviour. Examples of workplace deviant item: ‘ Being racist”, “ drug use in working time” Personality Traits Measurement: The construct was measured using Big Five Personality (BFI) was adapted from John and Srivistava (1999). The 10 item question with 5 point likert scale was used , respondent were asked to answer 1 to 5 from extremely inaccurate to extremely accurate. And the last measurement is perception of organizational politics adapted from Vigoda and Kapun (2005) consisting of 9 item question by using likert scale. The respondent were asked to answer 1 to 5 from strongly disagree to strongly agree. In line to the objective of this study; to examine the influence of openness to experience and perception of organizational politics to workplace deviant behavior and also to examine moderating impact from the perception of organizational politics to the relationship openness to experience and workplace deviant behavior. The process of collecting data in this research is done by using proportionate random sampling by distributing questionnaires to 263 civil servants in Pekanbaru, Riau. Data were collected and analyzed using Smart PLS 3.0. In the PLS analysis, the first step is to perform testing of the measurement model to get the reliability and validity of the data and the next step is to perform testing of structural models in order to test this hypothesis. RESULTS AND DISCUSSION Using PLS SEM analysis techniques, the first step is to develop the measurement model where the results of data analysis are shown in the table 1. Journal of Accounting, Management, and Economics, Vol. 19, No.1, 2017, pp. 28-33 30 Table 1 Measurement Model Construct Item CRa AVE Workplace Deviant Behavior (WDB) Openness to experience Perception of Organizational Politics ( POPS) WDB1 WDB 2 WDB 3 WDB 4 WDB 5 WDB 6 WDB 7 WDB 8 WDB 9 WDB 10 O2 O3 O4 O6 O7 O8 O9 O10 POPs1 POPs2 POPs3 POPs4 0.693 0.561 0.683 0.817 0.816 0.764 0.761 0.748 0.643 0.778 0.757 0.762 0.677 0.655 0.725 0.734 0.721 0.751 0.902 0.728 0.736 0.415 0.919 0.898 0.796 0.533 0.524 0.511 Measurement Model In the analysis using PLS-SEM testing measurement models is important because for the purpose of measuring model is to ensure that the items measure a construct is valid , and so proves the instrument is reliable. Besides purpose of testing the measurement model is analyze the relationship between the items to the constructs. This measurement model testing is essential to ensure the use of indicators that can be ascertained is suitable a construct to run well (Churchill, 1979). Based on the table for model measurement found that reliability indicator shows the loading of each item is between 0.415 and 0.902, while the loading number did not reach 0.4 is aborted in question items (Hair, Ringle & Sarstedt., 2013). Meanwhile the value of the average variance extracted (AVE) of each items should exceed the number 0.50 (Bagozzi & Yi, 1988). So is the value of the composite reliability (CR) are above 0.70 (Hair, Babin and Black, 2010). Stuctural Model After measurement model of PLS Analysis is done, next step is calculating the structural model. In this study, applied standard bootstrapping method to obtain significant levels of any relationship between the construct. In the structural model is an important thing to determine the significant of path coefficients, Evaluating the level of R2, then determine the effect size (f2), determining the predictive relevance and last examine the moderating effect ( Henseler, Ringle & Sinkovics, 2009). And the table below will shows the results of structural model. Table 2. Structural Model Hypothesis Beta t value P value Result R 2 f2 Q2 open ->WDB 0.136 2.372 0.009 Support 0.156 0.029 0.068 pops -> WDB 0.345 7.422 0.000 Support 0.02 Open*Pops->WDB -0.195 1.804 0.036 Support 0.175 0.032 From the table it can be seen that there is a significant relationship between openness to experience and WBD (β=0.136, t= 2.372 , p <0.009), supporting H1. Result also Journal of Accounting, Management, and Economics, Vol. 19, No.1, 2017, pp. 28-33 31 suggest that there is a relationship between perception of organizational politics and WDB (β=0.345, t= 7.422 , p <0.000), and thus H2 was supported. Result also shows in the table that indicate the interaction effect perception of organizational politics and openness to experience to WDB (β=-0.195, t= 1.804, p <0.036) and H3 also was supported. Furthermore other criteria that are important in looking at structural model is seeing the value of R2 which is coefficients of determination ( Hair, Sarstedt, Ringle & Mena., 2012, Henseler et,al., 2009). The R2 value is symbolizes the proportion of variation in dependent variables(s) that can be explained by independent variable(s) (Hair et al., 2010). Although an acceptable value of R2 depends on the context of study (Cohen, 1998) shows the value of 0.26, 0.13, 0.09 represent high, moderate and weak sequentially, but in this study R2 is considered moderate for 0,156 that mean as much as 15,6% explained the variance of WDB. Relative effects of openness to experience and perception of organisational politics on WDB were evaluated using Cohen’s (1988) effect size (f2). Effect size f2 is the impact given by variable exogenous (independent) specific to the variable endogenous (dependent) to see how big the contribution of variable exogenous specific to variable endogenous (Chin, 1998). Effect size values of 0.02, 0.15 and 0.35 that suggest small, medium and large effect, respectively (Henseler et al, 2009). The table shows effect size 0.02 for openness to experience to WDB and 0.029 for perception of organizational politics to WDB, and both effect size were medium (Cohen, 1988). With applied Stone Geisser’s Q2 (Geisser, 1974) blindfolding procedure is used to determine the predictive relevance of the research model. A value greater than zero indicates relevant model ( Henseler at al.,2009). The table shows Q2 to WDB is 0.068, indicating models is accepted The final aspect is looking at the strength of moderating using Cohen’s (1988) effect size formula. The power of moderation is assessed by comparing proportion of variance explained ( as expressed by coefficient of determination R2) from the main effect model (i.e., the model without moderating effect) and R2 from full model (i.e., model with moderating effect) ( Henseler and Fassott, 2010). Effect size (f2) from 0.02, 0.015, and 0.35 suggest small, moderate, and large effect, respectively (Cohen, 1988). The table show f2 effect size of 0.032, a weak finding. Discussion From the result there are two hypothesis found to have direct relationship to workplace deviant behavior. Openness to experience and workplace deviant behavior have positive relationship to workplace deviant behavior, H1 is supported, the result of this study for openness to experience was similar with previous study made by Kozoko, Safin, and Rahim (2013) and Deary, et.al., (2003). And for H2 the result perception of organizational politics is positive relationship to workplace deviant behavior, H2 also is supported. The result of this study for perception of organizational politics was similar with previous study made by Zettler and Hilbig (2010). This study has focused on the importance of understanding workplace deviant behavior. Although perception of organizational politics has been tested to CWB (Zettler and Hilbig, 2010) and personality trait and workplace deviant behavior (O’Neill, Lee, Radan, Law, Lewis and Carswell, 2013) but research has not examined the joint effect of personality and perception of organizational politics on workplace deviant behavior. This model proposes to test interaction effect perception of organizational politics and openness to experience to workplace deviant behavior because that negative perception about organization will lead to deviant behavior in the workplace. From the developing H3 that expected interaction between perceptions of organizational politics and openness to experience to workplace deviant behavior, that perceptions of organizational politics can moderate the relationship between openness to experience and workplace deviant behavior, meaning that it shows that the strengthen relationship openness to experience to workplace deviant behavior is getting stronger when high perceptions of organizational politics among employees and vice versa, but this situation happens the opposite, where the influence of this has negative beta coefficient (β = -0195, t = 1,804, p <0.036), it can probably be explained to the individual who has a personality that is high in openness to experience where the individual tendency to easily adapt to change and creative in solving complex problems (Lepine, Colquitt, & Erez, Journal of Accounting, Management, and Economics, Vol. 19, No.1, 2017, pp. 28-33 32 2000). Additionally, they are described as individuals who like to imagine, very tolerant of ambiguity and amenable new ideas. Furthermore, their desire to solve complex problems creatively will increase when they find themselves in political situation in which the presence of perceptions of organizational politics among workers, makes this situation as a challenge and opportunity to those who will open their curiosity so that higher openness to experience and the higher perception of organizational politics they will reduce to engage deviant behavior in the workplace. CONCLUSION There are several limitations to this study. Firstly, there is limitation in terms of time and the presence of financial constraints during data collection in the field the data has limited the external validity of these results. 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