Human Resources and their Tendency to Information Security Crimes Based on Holland Theory

Security systems are often the target of cyber-criminals and professional hackers, but often they fail in hiding all traces of the attack, thereby leaving critical evidence that could lead to identifying and arresting the criminal. However, hacking skills vary from one hacker to another depending on the hacker's personal traits, behavior, and intellectual tendencies. The aim of this study is to develop a proposed descriptive model of the behavioral patterns and motives of hackers based on programmable psychological theories, modeled using object-oriented programming models. The study proposes a descriptive model of an inverse algorithm that simulates Holland's Theory of Behavioral Patterns. Findings show that this descriptive model is applicable to be produced as a code map for the human resources of an investigative nature.

Concepts and Coefficients Based on John L. Holland’s Theory of Vocational Choice—Examining the R Package holland

John L. Holland’s theory of vocational choice is one of the most prominent career theories and is used by both researchers and practitioners around the world. The theory states that people should seek work environments that fit their vocational interests in order to be satisfied and successful. Its application in research and practice requires the determination of coefficients, which quantify its core concepts such as person-environment fit. The recently released R package holland aims at providing a holistic collection of the references, descriptions and calculations of the most important coefficients. The current paper presents the package and examines it in terms of its application for research and practice. For this purpose, the functions of the package are applied and discussed. Furthermore, recommendations are made in the case of multiple coefficients for the same theoretical concept and features that future releases should include are discussed. The R package holland is a promising computational environment providing multiple coefficients for Holland’s most important theoretical concepts.

The Individual Inclination to an Occupation and its Neuronal Correlate

Many young people decide their professional direction during adolescence. This often coincides with vulnerable phases of puberty-related maturation that is usually accompanied by difficulties in assessing one’s personal inclinations and competences. Several psychological tests have been established among teachers and career advisers serving as a tool for professional coaching the teenagers’ competences and preferences. Many tools are based on the “Theory of Vocational Personalities in Work Environment” developed by John L. Holland since the 1950s, comprising the “RIASEC” model. Today, this theory provides the basis for tests which are used and refined all over the world. Professor Stangl’s online assessable “Situational Interest Test” (SIT) is based on Holland’s theory. By means of 30 short assessments the SIT questionnaire assesses the participant’s personality traits: Realistic (“Doers”), Investigative (“Thinkers”), Artistic (“Creators”), Social (“Helpers”), Enterprising (“Persuaders”), and Conventional (“Organizers”). Modern Magnetic Resonance Imaging (MRI) is able to discriminate between the brain’s compartments as Gray and White Matter using Voxel-Based Morphometry (VBM). This tool allows to reshape and to normalize human brains’ structure to statistically examining individual brains. Up to now findings from 20 years of functional MRI gave detailed insights in correlations between brain structures and mental functions. Hence, knowledge on structural base of cognitive or behavioral patterns is available as a brain’s map for assigning anatomical regions to their functions. The present study demonstrates that there are statistically relevant correlations between all dimensions of Holland’s RIASEC theory by assessing individual professional inclinations and the neuronal structures of the brain. Results show correspondence between the personality traits assigned by the RIASEC test and the functions of significant structural alterations in distinct brain areas well-known from literature.

Can Holland’s Person-Environment Fit Theory Produce Troubling Outcomes for Racial/Ethnic Underrepresented Students in STEM? An Analysis of Social Agency

Increasing the success of Underrepresented Students of Color (USC) in science, technology, engineering, and mathematics (STEM) is a central concern to many researchers, policymakers, and educators. To help understand STEM college student success, many studies have utilized Holland’s (1966, 1973, 1985, 1997) person-environment fit framework applying it uncritically to all students. Using Quantitative Criticalism, this study engages the racial realities of USC while investigating several assumptions of Holland’s theory and their implications for USC pursuing STEM fields. Utilizing a national, longitudinal dataset of 5,564 STEM bachelor’s degree recipients drawn from the Cooperative Institutional Research Program’s 2004 Freshman Survey and 2011 Post-Baccalaureate Survey, this study specifically examines students’ interest in making a positive impact on society through socio-political action, or social agency, which Holland’s typology suggests is incongruent with STEM environments. Findings show that USC may be more likely to be described as “incongruent” with Holland’s classification of STEM environments, that the congruence assumption may not be fully applicable for understanding the long-term success of USC in STEM, and that the social agency of USC did not significantly change over the seven years while white students’ significantly decreased. Implications for broadening participation and promoting equity in STEM fields are discussed.

Subjective versus Objective Assessment of Short Term Occupational Stress: Bias and Analysis of Self-Assessment of High Stress Levels

Aims: Experiments undertaken with two professions (engineers and anesthesiologists) have shown the possible overestimation of perceived stress by subjects when self-assessing stress through questionnaires for high levels of acute stress. Previous analyses having demonstrated that the overestimation was effective, the present study aimed at analyzing a possible effect due to professional traits. Study Design: Data were compared with models of professional personality: Myers-Briggs Type Indicator approach, Holland’s theory of careers and vocational choice and the Five-Factor model of personality. Place and Duration of Study: Data from previous studies were used: A sample of engineers working at the nuclear power plant of Chinon in France (published in 2014) and a sample of anesthesiologists working at the University Hospital of Angers, France (published in 2015). Methodology: Anesthesiologists (N=11, 50% male, 25 to 35 years old) experienced a stress episode in an operating theater simulator. Engineers (N=8, 38% male, 25 to 35 years old) underwent a stress-test in their office. Heart rate was measured for each subject. Comparison was examined between the stress perceived by the subjects through the Post-traumatic Disorder Inventory and the expected levels of stress estimated using the heart rate data. Characterization of the difference was undertaken using models of professional personality. Results: While a Myers-Briggs Type Indicator approach did not provide any relevant information, an approach based on Holland’s theory of careers and vocational choice and on the Five-Factor model of personality showed that overestimation of stress was linked with occupational preoccupations specific to the professions. Limitations, perspectives and scientific implications are discussed. Conclusion: As a major recommendation for researchers, during experiments inducing high levels of acute stress, it is worth to consider the possibility to compare self-assessment of stress with physiological measurements in order to detect a possible overestimation of perceived stress.

Analysis of Holland Theory Career Guidance in Student Career Planning

The problem of this research is based on the large number of students entering high school on the wishes of parents, students feel wrongly entering the department because it is not in accordance with their talents, interests and potential. Furthermore, efforts have been made by the teacher for guidance and counseling in providing Holland theory career guidance services. The research method used is descriptive qualitative. The informants in this study were counseling teachers and students. Data analysis in this research uses steps of data reduction, data presentation, and verification. The results of this study indicate that the implementation of Holland's theory career guidance services has been going well. From the results of interviews, observations and documentation to research informants regarding the implementation of Holland theory career guidance services, it can be understood that at the planning, implementation, evaluation and follow-up stages have been going well as they should, this is evident in the existence of service program plans, materials and instruments Holland, as well as the results of the Holland instrument analysis of students who already know the personality type and direction of their career choices.

A Comparative Study of Machine Learning Methods for Automatic Classification of Academic and Vocational Guidance Questions

Academic and vocational guidance is a particularly important issue today, as it strongly determines the chances of successful integration into the labor market, which has become increasingly difficult. Families have understood this because they are interested, often with concern, in the orientation of their child. In this context, it is very important to consider the interests, trades, skills, and personality of each student to make the right decision and build a strong career path. This paper deals with the problematic of educational and vocational guidance by providing a comparative study of the results of four machine-learning algorithms. The algorithms we used are for the automatic classification of school orientation questions and four categories based on John L. Holland's Theory of RIASEC typology. The results of this study show that neural networks work better than the other three algorithms in terms of the automatic classification of these questions. In this sense, our model allows us to automatically generate questions in this domain. This model can serve practitioners and researchers in E-Orientation for further research because the algorithms give us good results.