Organizations struggle to comply with legal requirements as well as customers' calls for better data protection. On the implementation level, incorporation of privacy protections in products and services depends on the commitment of the engineers who design them. We interviewed six senior engineers, who work for globally leading IT corporations and research institutions, to inves- tigate their motivation and ability to comply with privacy regulations. Our findings point to a lack of perceived responsibility, control, autonomy, and frustrations with interactions with the legal world. While we increasingly call on engineers to go beyond functional requirements and be responsive to human values in our increasingly technological society, we may be facing the dilemma of asking engineers to live up to a challenge they are currently not ready to embrace.

In South Africa there is a shortage of systems engineers which is being addressed by a systems engineering (SE) development program. The purpose of this research was to design a selection method that could be used to select candidate systems engineers with potential thus increasing the probability of successful development of SE competencies. Based on literature and practical considerations, the following research question was formulated: Can a candidate’s SE competence potential can be predicted from personality preferences, cognition, and values (the SE Profile)? Design science research was used as the research methodology. The 15 Factor Questionnaire Plus was used to assess personality, the Cognitive Process Profile for cognition, and the Value Orientations to assess values. The 21 SE competencies were assessed using the INCOSE Systems Engineering Competencies framework. Specific values (high or low) on a combination of psychological measures are useful for predicting high competence and these vary between SE competencies. Thus psychological measures for SE as a whole cannot be identified as has been done in the literature. The number of engineers with high SE competence is inversely proportional to the number of SE competencies. Cognition measures seem more useful in identifying risk, but do not strongly predict SE competence for the given sample. From this research, no evidence was found that values have been considered previously in the SE selection literature, but values are useful for predicting high competence on at least 11 SE competencies. Because the various SE competencies require different profiles, there are few “super systems engineers”. SE competence required for the project can be achieved through a team rather than a single systems engineer. Assessment can be used as a tool for SE development by detecting anomalies and selecting candidates which have the potential for faster successful development. / Thesis (PhD (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2013.

In South Africa there is a shortage of systems engineers which is being addressed by a systems engineering (SE) development program. The purpose of this research was to design a selection method that could be used to select candidate systems engineers with potential thus increasing the probability of successful development of SE competencies. Based on literature and practical considerations, the following research question was formulated: Can a candidate’s SE competence potential can be predicted from personality preferences, cognition, and values (the SE Profile)? Design science research was used as the research methodology. The 15 Factor Questionnaire Plus was used to assess personality, the Cognitive Process Profile for cognition, and the Value Orientations to assess values. The 21 SE competencies were assessed using the INCOSE Systems Engineering Competencies framework. Specific values (high or low) on a combination of psychological measures are useful for predicting high competence and these vary between SE competencies. Thus psychological measures for SE as a whole cannot be identified as has been done in the literature. The number of engineers with high SE competence is inversely proportional to the number of SE competencies. Cognition measures seem more useful in identifying risk, but do not strongly predict SE competence for the given sample. From this research, no evidence was found that values have been considered previously in the SE selection literature, but values are useful for predicting high competence on at least 11 SE competencies. Because the various SE competencies require different profiles, there are few “super systems engineers”. SE competence required for the project can be achieved through a team rather than a single systems engineer. Assessment can be used as a tool for SE development by detecting anomalies and selecting candidates which have the potential for faster successful development. / Thesis (PhD (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2013.