海事部门围捕考试的研究

Leyla Tavacioglu, Neslihan Gökmen, Özge Eski, Vedat Sarı, Aslı Ceren Yılmaz
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引用次数: 5

摘要

在航运业中,较低等级或级别的人容易受到围攻,这很容易观察到。在土耳其,用“情绪骚扰”、“工作中的心理暴力”、“恐吓”来代替“职场欺凌”,而不是用一个特定的词来表达“暴徒”。这项研究的目的是确定影响围捕的因素。调查参与者是178名志愿者,几乎所有的海事大学院系和几家私营公司参与了调查。数据于2018年5月在土耳其收集。使用了Mobbing量表(Leymann's LIPT-The Leymann Ivertory of Psychological For Social Sciences)。Mobbing量表有5个因素:关系、威胁和骚扰、商业和职业相关障碍、私人生活、工作承诺。采用SPSS (Statistical Package for Social Sciences v24)软件进行统计分析。根据人口统计学,通过相关分析评估各因素之间的关系。采用多元线性回归分析确定影响人群聚集的因素。对每5个因素分别建立5个回归模型。利用所有因素之间的Spearman系数的双变量相关性。从回归结果可以看出,变量对mobbing的影响是显著的。人口统计数据是决定人群聚集的有效因素。讨论了研究结果的理论和实践意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Research As Mobbing Examination in Maritime Sector
In the maritime industry, a person of lower class or rank is exposed to mobbing, which can easily be observed. In Turkey, instead of expressing mobbing in a specific word as "bullying in the workplace", replaced it as "emotional harassment", "psychological violence at work", "intimidation". The aim of the study is to determine the factors that affect the mobbing. Survey participants are 178 volunteers, almost all of the maritime university faculties and several private companies participated the survey. Data were collected in May 2018 in Turkey. Mobbing Scale (Leymann's LIPT-The Leymann Ivertory of Psychological For Social Sciences) was used. Mobbing scale has 5 factors: relationship, threat and harassment, business and career-related obstacles, private life, commitment to work. Statistical analysis were applied in SPSS (Statistical Package for Social Sciences v24). According to demographics, relationships between factors were assessed by correlation analysis. Multiple linear regression analysis was used to determine the factors affected the mobbing. 5 regression models were set up for each 5 factors. Bivariate correlations with Spearman’s rho coefficients between all factors are utilized. According to regression results, it is seen that variables affected mobbing significantly. Demographics are effective in determining mobbing. Theoretical and practical implications of the findings are discussed.
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