The Psychology of Job Interviews

2021 ◽  
Author(s):  
Nicolas Roulin
Keyword(s):  
2016 ◽  
Vol 27 (3/4) ◽  
pp. 17-38 ◽  
Author(s):  
Morten Kyed

En række sociologer har de seneste år peget på, at den postindustrielle serviceøkonomi stiller stadigt større krav til servicemedarbejderes sociale og følelsesmæssige kompetencer. Eva Illouz (2008) argumenterer eksempelvis for, at vestlige samfund kendetegnes af en ”emotionel kapitalisme”, hvor følelsesmæssige kompetencer er blevet en central stratifikationsfaktor, som marginaliserer især mænd med en traditionel arbejderklasse habitus. Men få studier har undersøgt, hvordan arbejdsgivere rent faktisk vurderer ansøgernes sociale og følelsesmæssige kompetencer. Gennem interviews og observationsstudier har artiklens forfatter undersøgt, hvordan verdens største ambulanceoperatør vurderer og værdsætter ansøgeres sociale og følelsesmæssige kompetencer gennem rekrutteringsprocessen til stillingen som ambulanceredderelev. Artiklen viser med udgangspunkt i fire ansættelsessamtaler med mandlige ansøgere, hvordan ansøgerens primære følelsesmæssige habitus har betydning for samtalens udfald og de sympatirelationer, som skabes i forbindelse med samtalen. Data viser også, at selvom ledelsen fremhæver, at personlighed og empati er afgørende i screeningen af ansøgerne, så anvender virksomheden ikke personlighedstest eller andre psykologiske teknologier i rekrutteringsprocessen. Sociale og følelsesmæssige kompetencer vurderes derimod ud fra ansøgerens institutionaliserede omsorgskapital samt bedømmelsesudvalgets mavefornemmelse af ansøgerens følelsesmæssige dispositioner og evne til at passe ind både i faget og virksomhed. ENGELSK ABSTRACT: Morten Kyed: ”We Are a Business that Is Really above Average in Empathy”: Recruiting ”Soft Competences” in Ambulance Service A number of sociologists have suggested that the post-industrial service economy is placing increasing demands on service employees’ social and emotional skills. Eva Illouz (2008), for instance, argues that Western societies are characterised by an ”emotional capitalism”, in which emotional competencies are pivotal for social stratification and marginalisation of men with a traditional working class habitus. However, few studies have examined how employers actually assess applicants’ social and emotional skills. Through interviews and observational studies, the author has studied how the world’s largest ambulance operator assesses and evaluates social and emotional skills of ambulance apprentice applicants. Employing four job interviews with male candidates, the article illustrates how the applicant’s primary emotional habitus is important for the construction of sympathy relations during the job interviews and the outcome of the conversation. The data also shows that although management emphasises that personality and empathy are crucial when screening applicants, the company does not use personality tests or other psychological technologies in the recruitment process. Assessment of social and emotional skills is based on the candidate’s ”institutionalised care capital” and the assessment committee’s gut feeling about the applicant’s emotional disposition and ability to fit into both the vocation and the company. Keywords: service work, service economy, recruitment, social competences, emotional competences, gender.


Author(s):  
Anany Levitin ◽  
Maria Levitin

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.


Author(s):  
Moechammad Sarosa ◽  
Mochammad Junus ◽  
Mariana Ulfah Hoesny ◽  
Zamah Sari ◽  
Martin Fatnuriyah

Students with hectic college schedules tend not to have enough time repeating the course material. Meanwhile, after they graduated, to be accepted in a foreign company with a higher salary, they must be ready for the English-based interview. To meet these needs, they try to practice conversing with someone who is proficient in English. On the other hand, it is not easy to have someone who is not only proficient in English, but also understand about a job interview related topics. This paper presents the development of a machine which is able to provide practice on English-based interviews, specifically on job interviews. Interviewer machine (interviewer bot) is expected to help students practice on speaking English in particular issue of finding suitable job. The interviewer machine design uses words from a chat bot database named ALICE to mimic human intelligence that can be applied to a search engine using AIML. Naïve Bayes algorithm is used to classify the interview results into three categories: POTENTIAL, TALENT and INTEREST students. Furthermore, based on the classification result, the summary is made at the end of the interview session by using phrase reinforcement algorithms. By using this bot, students are expected to practice their listening and speaking skills, also to be familiar with the questions often asked in job interviews so that they can prepare the proper answers. In addition, the bot’ users could know their potential, talent and interest in finding a job, so they could apply to the appropriate companies. Based on the validation results of 50 respondents, the accuracy degree of interviewer chat-bot (interviewer engine) response obtained 86.93%.


Author(s):  
Keith Anderson ◽  
Elisabeth André ◽  
T. Baur ◽  
Sara Bernardini ◽  
M. Chollet ◽  
...  

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