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Literature evidences that altruism and conscientiousness are very important discretionary behaviours within the broader framework of Organizational Citizenship Behaviour (OCB) among teaching community. The present study is intended to examine the effect of role clarity, perceived cohesion and felt responsibility on altruism and conscientiousness among college teachers in Kerala.

A questionnaire-based survey was conducted among 354 college teachers, and the causal effect was examined using Partial Least Square-based structural equation modelling.

Validity and reliability of the model were established through measurement model evaluation. Explanatory power of the model was established. Cohesion and felt responsibility significantly predicted altruism, but the effect of role clarity on altruism was not significant. Effect of cohesion, felt responsibility and role clarity on conscientiousness was significant.

The study contributed to the existing theory on antecedents of OCB. The model has high levels of predictive accuracy – role clarity, cohesiveness and felt responsibility – capable of explaining the discretionary behaviour among college teachers.

This paper aims to improve the understanding of student readiness for universal design for learning (UDL), thereby reducing a barrier to its adoption by management faculty. It explores how students’ personality (conscientiousness and openness to experience) affects their readiness to embrace UDL and investigate how that relationship is mediated by self-directed learning (SDL).

Analysis uses survey data from students in management courses. From these data are created multi-item constructs and control variables. A mediated regression model that uses bootstrapping to estimate parameters and standard errors generates the results.

The findings were that SDL is strongly related to student readiness for UDL and that SDL fully mediates the relationship between conscientiousness and UDL. Openness to experience, however, directly relates to UDL without any mediation.

This research applies only to one institution and two management courses. The methodology used in this study is limited to one part of the UDL model, which is a measure of student readiness to engage in choice. Future research can extend this model to other courses and institutions and other parts of the UDL model.

These findings provide insight into the student characteristics that enable them to gain empowerment and motivation from the UDL approach. Implementation of UDL in management education may require learning management strategies that accommodate student readiness for UDL. This study makes progress in identifying student characteristics that explain this readiness.

UDL can improve management education by making it more accessible to students with different personalities and learning styles.

This study developed a method for analyzing the applicability of UDL in management education. It also devised and implemented a new survey measure for student readiness for UDL.

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.

The purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. The BF traits are indicators of personality and are said to be an effective predictor of study performance in various occupations. BF can be used in crowdsourcing to predict crowd workers’ performance; however, it will be difficult to use in practice for two reasons like the time-and-effort issue and the bias issue. In this study, an empirical analysis is conducted on crowdsourcing to examine if TIPI-J can solve those issues.

To investigate the issues, two tasks are posted on a crowdsourcing provider. Both TIPI-J and full version BF are conducted before and after selecting crowd workers. Structural validity and convergence validity are tested with correlation analysis between before (TIPI-J) and after (full version BF) data to examine the bias issue. Additionally, those correlations are compared with previous study and significances are examined.

The correlations in “conscientiousness” is 0.45-0.50, respectively, compared with a previous study, those two correlations did not show significance. This indicates that no clear bias exists.

This is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers’ performance and thus it can help to select appropriate crowd workers.

In the context of Portugal, this study examines the stereotypes of accountants held by laypeople and how they are influenced by financial crises and accounting scandals.

To better understand the social images of accountants, the authors adopt a structural approach based on the big five model (BFM) of personality. The authors test this approach on a Portuguese community sample (N = 727) using a questionnaire survey. The results are analyzed considering the socioanalytic theory.

The results suggest the existence of a stereotype dominated by features of conscientiousness, which is related to the superior performance of work tasks across job types. This feature comprises the core characteristics of the traditional accountant stereotype, which survives in a context challenged by financial scandals and crises. The findings highlight the social acceptance of accountants as an occupational group but do not suggest the possibility of accountants benefiting from the highest levels of social status when considered in relation to the traditional accountant stereotype.

By combining the BFM and the socioanalytic theory, this study provides a unique theoretical approach to better understand the social images of accountants. The findings demonstrate the suitability of using the BFM to study the social perceptions of accountants. They also indicate a paradox based on the survival of the traditional stereotype. This stereotype appears to be resistant to scandals and financial crisis, instead of being impaired, giving rise to another prototype with concerns about integrity.

The purpose of this paper is to investigate the impact of five-factor model of personality on organizational commitment in the higher educational institutes of Pakistan.

Quantitative methodology was adopted to measure the impact of personality on organizational commitment. A structured questionnaire was e-mailed to the faculty members of the social science department of higher education institutes. SmartPLS software was used to run the structural equation modeling technique.

The findings showed that extroversion, agreeableness, and conscientiousness are positively linked to affective commitment (AC), and neuroticism and openness has negative association with AC. Furthermore, extroversion and agreeableness were found to be negatively linked to continuance commitment. A negative link between neuroticism and continuance commitment while no relationship between conscientiousness, openness, and continuance commitment was found.

Results have several implications for the personality and commitment literature. First, study provided comprehensive empirical evidence regarding the dispositional basis of organizational commitment notably; the authors found that the Big Five personality traits as a whole are significantly associated with organizational commitment. Second, the current findings underscore the role of agreeableness in shaping organizational commitment. Agreeableness was the strongest predictor of both AC and continuance commitment. Agreeableness may be especially relevant for predicting employee outcomes that are reliant on strong interpersonal or social exchange relationships. As such outcomes are becoming more and more critical in employee, group, and organizational effectiveness.

In general, findings show that Big Five traits play an important role in understanding employee commitment to the organization. Consistent with previous studies on personality traits in the workplace, practitioners will benefit from considering all of the Big Five traits in their selection systems.

This study aims to examine that personality traits are associated with the investor’s ability to exhibit disposition effect, herding behavior and overconfidence. It also explores how risk-attitude can modify investor behavior by moderating the association between personality traits, disposition effect, herding and overconfidence.

Data were collected from 396 respondents by using personally administrated survey. Confirmatory factor analysis (CFA) was used to confirm the validity and reliability of data. Regression analysis was used to test the proposed hypotheses.

The results supported the proposed hypotheses and showed that extravert investors were more likely to exhibit disposition effect, herding and overconfidence. The conscientiousness trait was associated with disposition effect and overconfidence, while neuroticism was associated with herding behavior. The results confirmed the moderating effect of risk aversion on the association between personality traits, disposition effect, herding and overconfidence.

This study demonstrates how risk aversion modes the strength of association between psychological characteristics (represented by personality traits) and cognitive biases (disposition effect, herding and overconfidence). The results support the “auction” interpretation of investors' behavior by suggesting that personality traits are associated with investment decision-making and that investors are marginal price setters.

Personality profiling in today’s business world has become an essential organisational development practice targeted at identifying a set of employees' traits, which differentiate an employee from one another. Given the assumption that personality traits form an essential indicator of developing the potential of an individual workforce, possible to establish how employees function in a certain job role and their suitability for the particular tasks in an organisation. This study aims to explore the relationship between personality traits, assessment centres (ACs) quality and management development in Nigeria telecommunication organisation among its managers.

The study employed multi-stage sampling techniques and further stratified the hierarchy of the management and finally used a simple random sampling strategy on each stratum. A combination of 482 managers in Nigerian telecommunication organisations participated in this study. The study investigated 12 hypotheses and 1 mediating postulation. Multiple scales were adapted to measure dimensions of endogenous and exogenous variables along the path of mediating variables of the study. The study employed a cross-sectional survey approach to administering the research instrument across all the departments among the managers of the organisations. A structural equation model of assessment was used to analyse the data collected from managers of the telecoms organisations.

The outcome of the study was significant, 10 of the postulated hypotheses were found to be significant while 3 were not significant. The study revealed that a combination of openness to experience, conscientiousness, neuroticism, agreeableness and extraversion personality have no significant relationship with the AC. Also, employees who are high in neuroticism like being emotionally unstable did not find a significant relationship with the AC. In a similar situation, the combined effect of all the big-five personalities was not significant in management development among the managers of the telecommunication industry. The AC is discovered to mediate between personality traits and management development. Individually, the big-five model finds a significant relationship with AC and management development, respectively.

The study is restricted to managers of the Nigerian telecoms industry alone and not all the entire workforce. It adopted cross-sectional analysis to make an inference on all the managers of the organisations. The implication is that the period of the view of a particular point in a sequence of the event may not be representative. Another implication is that the results from the cross-sectional design are for the relationship, and they do not indicate causation.

In practice, this study has shown that personality profiling is important to managing organisational behaviour to highlight a set of traits of employees suitable for peculiar roles. This study implies that personality elements constitute a vital signal of the potential development of the workforce. It helps to illuminate an individual functioning style in a certain task situation, therefore determining both professional and managerial suitability in performing a given role.

Intrapreneurship is rapidly concerning organizations to tailor their operations and strategies for competitive advantage. Research on intrapreneurial dimensions is in the developing stage, requiring more rigorous methods of investigation and application in various contexts. This study aims to focus on individual level intrapreneurship by examining the association of personality traits (PTs) on intrapreneurial behaviour (IB) moderated by knowledge sharing behaviour (KSB) and comparison of employees in engineering and functional departments.

A survey has been conducted for data collection using a structured questionnaire. Partial least squares structural equation modelling has been used for hypotheses testing, moderation and multi-group analysis on a sample of 534 respondents.

Results reveal that PTs exerted a positive influence on IB. The impact of PTs on IB was more pronounced in the employees of functional departments. KSB moderates positively in the relationship between PTs and IB. Both groups significantly differ in dimensions of PTs.

Organizations can do little to improve PTs of employees, which impacts on intrapreneurship in organizations. However, KSB in organizations can be improved by adopting various measures. KSB eventually promotes innovation in organizations resulting in an overall competitive advantage for firms.

This is the first study that contributes theoretically in intrapreneurship literature by providing insights on PTs impacting IB incorporating KSB and comparing the diverse group of employees.

Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.