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This study intends to contribute to the improvement of safety culture of the shipping
industry. The study investigates the existence of different subcultures of safety on
board ships as a result of differing organizational cultures in shipping companies. In
particular, it investigates the way the organizational safety management contributes in
crea...
Citations
... Clearly, these various tests utilized to check the normal distribution of data are provided for in various literatures and they include methods like graphical assessment of normality, Kolmogorov-Smirnov test, Shapiro-Wilk test, Lilliefors corrected K-S test, D'Agostino skewness test, and Jarque-Bera test (Kahlouche, 2021). However, the Kolmogorov Smirnov test seems to be the most popular among the aforementioned tests and the method of doing this is that a p-value is greater than 0.05 (Kahlouche, 2021). ...
... Clearly, these various tests utilized to check the normal distribution of data are provided for in various literatures and they include methods like graphical assessment of normality, Kolmogorov-Smirnov test, Shapiro-Wilk test, Lilliefors corrected K-S test, D'Agostino skewness test, and Jarque-Bera test (Kahlouche, 2021). However, the Kolmogorov Smirnov test seems to be the most popular among the aforementioned tests and the method of doing this is that a p-value is greater than 0.05 (Kahlouche, 2021). So, in order to determine if the sample comes from a population with a specific distribution the Kolmogorov Smirnov test for independent samples was used in addition to visual observation. ...
... To ascertain whether there is statistical evidence that the mean score of consent for use personal data (CUP) factor of the related samples are substantially different from the mean score of the respondents, a one sample t-test was conducted using SPSS. To support hypotheses, a "p-value" of less than 0.05 and a t-test absolute value greater than 1 were required as suggested by (Kahlouche, 2021). The result as shown in Table 8 and 9, showed that the requirement to support the hypotheses were met as p =.000 and t = 38.959. ...
This research evaluated the impact of big data analytics on the privacy rights of seafarers and how security and privacy infringement issues can be linked to the collection, storing, analysis, processing, destruction, reuse and sharing of data. The research further analysed the relation that exists between big data characteristics and privacy infringement from the standpoints of data collection, storage, processing, sharing and accessibility.
The research employed an exploratory mixed method design. The qualitative exploratory part consisted of semi-structured interviews and the choice of participants for these interviews consisted of a ship-owner, a data controller and two seafarers working on board ships engaged in international and domestic voyages. Responses from the interviews assisted in the design of the questionnaire and the formulation of the research hypothesis. In the quantitative data analysis, questionnaires were distributed which elicited responses from 125 seafarers working on board vessels of shipping companies in 4 different continents (Africa, Europe, Asia, North America, and the United Kingdom) and this questionnaire was reconstructed and its validity and reliability was tested using Exploratory Factor Analysis of the SPSS tool (SPSS 26) including other statistical tests and analyses such as a correlation analysis. This analysis resulted in the extraction of three (3) factors: top management commitment to data safety, consent for the use of personal data and duration of personal data.
