Search results

The importance of information systems (IS) professions is increasing. As personality–job fit theory claims, employees must have suitable personality traits for particular IS professions. However, candidates can try to fake-good on personality tests towards the desired personality type. Thus, the purpose of this study is to identify archetypal IS professions, their associated personality types and examine the reliability of the Myers–Briggs Type Indicator (MBTI) personality test in IS recruitment decisions.

The authors reviewed academic literature related to IS professions to identify job archetypes and personality traits for IS professions. Then, the authors conducted an experiment with 452 participants to investigate whether candidates can fake-good on personality tests when being tested for a particular IS profession.

The identified job archetypes were IS project manager, IS marketing specialist, IS consultant, IS security specialist, data scientist and business process analyst. The experimental results show that the participants were not able to fake-good considerably regarding their personality traits for a particular archetype.

The taxonomy of IS professions should be validated further. The experiment was executed in an educational organisation and not in a real-life environment. Actual work performance was not measured.

This study enables a better identification of suitable candidates for a particular IS profession. Personality tests are good indicators of the candidate's true personality type but must be properly interpreted.

This study enhances the existing body of knowledge on IS professions' archetypes, proposes suitable MBTI personality types for each profession and provides experimental support for the appropriateness of using personality tests to identify potentially suitable candidates.

Job-related social networking websites (e.g. LinkedIn) are often used in the recruitment process because the profiles contain valuable information such as education level and work experience. The purpose of this paper is to investigate whether people can accurately infer a profile owner’s self-rated personality traits based on the profile on a job-related social networking site.

In two studies, raters inferred personality traits (the Big Five and self-presentation) from LinkedIn profiles (total n=275). The authors related those inferences to self-rated personality by the profile owner to test if the inferences were accurate.

Using information gained from a LinkedIn profile allowed for better inferences of extraversion and self-presentation of the profile owner (r’s of 0.24-0.29).

When using a LinkedIn profile to estimate trait extraversion or self-presentation, one becomes 1.5 times as likely to actually select the person with higher trait extraversion compared to the person with lower trait extraversion.

Although prior research tested whether profiles of social networking sites (such as Facebook) can be used to accurately infer self-rated personality, this was not yet tested for job-related social networking sites (such as LinkedIn). The results indicate that profiles at job-related social networks, in spite of containing only relatively standardized information, “leak” information about the owner’s personality.

This study aims to test the mediating role of psychological contract (PC) in a relationship between personality dimensions and turnover intention.

The current study is analytical in nature. The data for the purpose of the analysis is collected from 300 software engineers working in Lahore, Punjab. Purposive sampling technique is used for the collection of this data. The response rate was 87.33 per cent. Different data analysis techniques such as correlation, regression analysis, are used to test the 10 hypotheses of the study. Moreover, the study adopted a cross-sectional survey design.

According to regression analysis, extroversion, conscientiousness and agreeableness personality dimensions brought positive but insignificant increments in turnover intention. However, emotionally stable personality dimensions brought positive and significant increments in turnover intention. Open to experience personality dimension brought negative but insignificant decrement in turnover intention. Results showed extroversion personality dimension brought a very less but insignificant increment in variations of PC, which have higher contributions in variations of turnover intention. Emotional stable, conscientiousness and agreeableness personality dimensions brought also very less but a significant increment in PC. Open to experience personality dimension have negative but insignificant decrement in PC. Results showed the mediation impact of PC among emotional stability, conscientiousness and agreeableness personality dimensions and turnover intention. However, PC does not mediate among extroversion, open to experience personality dimensions and turnover intention. The paper concludes with recommendations for further research.

This study will help the organization in reducing the turnover rate and can enhance the motivation level of their employees.

Psychological assessment refers to the process whereby different methods and techniques are used to test hypotheses about people and their psychological characteristics. Understanding employees' psychological makeup is key to allow effective human resource management, from hiring to retirement. However, the gap between scientific evidence and organizational practices dealing with psychological assessment is still great.

General review along with case study

This paper shows the differences between research and practice, i.e. between what scientific evidence suggests to assess people from a psychological point of view reliably and what practitioners do when they want to reach the same goal.

At the end of the article, two examples of integration between research and practice are presented. We discuss how methods and techniques of psychological assessment can be developed to both respect scientific criteria and meet specific organizational needs.

The study sought to fit managerial competencies in the metatraits of the Circumplex Personality Metatraits Model (CPM) by Strus, Cieciuch and Rowinski (2014). The authors assumed that managerial competencies would be located in the sector of personality metatraits, specifically, the plus poles: Integration (Gamma-Plus) through Stability (Alpha-Plus) and Self-restraint (Delta-Plus) to Plasticity (Beta-Plus).

A group of 327 managers took part in this study. Managerial competencies related to social skills, problem-solving, management and goal striving, openness to change and employee development were evaluated via the assessment center (AC).

The results revealed a negative relationship between all managerial competencies and negative metatraits of Disharmony (Gamma-Minus) and Passiveness (Beta-Minus). On the other hand, Integration (Gamma-Plus) and Plasticity (Beta-Plus) appeared to be positively related to two competencies only: openness to change and problem-solving.

All managerial competencies fitted well in the CPM pattern with adequate degrees of fit. The discussion indicates the role of managerial competencies and personality assessment in the selection process.

This study aims to explore customer personality traits as an antecedent of customer citizenship behaviour which positively facilitates service providers.

This study follows the positivism research paradigm. Hence, primary data were collected from 250 homestay visitors who stayed at five selected homestays located at Mirissa homestay zone, Sri Lanka.

The present study's findings reveal that “agreeableness,” “extraversion” and “conscientiousness” personality traits promote customer citizenship behaviour. Furthermore, the openness to “experience” trait identified to have a statistically insignificant relationship with CCB and neuroticism recorded a positive impact on the relationship between CCB and personality, contrary to the existing literature.

This study comprehensively explains how service providers should arrange their service facilities to increase customer willingness to perform citizenship behaviour, which helps develop their services.

Previous research has investigated that customer personality in terms of prosocial and proactive nature impacts CCBs. In contrast, the effect of Big Five personality traits on CCB is highlighted in this study.

The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes.

Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed.

eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.