• Personality As A Determinant Of Innovative Behaviour In The Workplace

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    • On innovative behaviour, Subramaniam (2012) in a study to determine the relationship between selected predictor variables and innovative behaviour in the workplace. The predictor variables are leader member relationship, leader role expectation, demographic variables and problem-solving style. Using questionnaire to collect data from 79 teacher educators, He found that only leader-member exchange correlated significantly with support for innovation. Leader-member exchange, leader role expectation and intuitive problem solving style correlated significantly with individual's perception of adequacy of resource supply for innovation. Leader member exchange is the only variable that correlated significantly with psychological climate for innovation. He also found a significant relationship between psychological climate and innovative behaviour. Leader-member exchange, leader-role expectation, systematic problem-solving style and intuitive problem-solving style correlated significantly with innovative behaviour. He concluded that psychological climate for innovation is influenced by leader-member exchange and that support for innovation without resource supply will not result in innovative behaviour.
      In a study carried out by De Spiegelaere (2011), to determine the relationship between job design and innovative work behaviour. The study was conducted using 952 employees from 17 different companies from various sectors. The surveys were distributed to all employees that would participate in the upcoming project of organisational innovation. The response rate was 53%, yet, 59 surveys were left out of consideration due to missing data. Of the total of 893 useable surveys, 47.89% were completed by male respondents. 60.48% of the respondents had a degree of at most higher secondary education. The average age of the respondents was 39 years old (median 40years and modus 31years). Further, 41.70% of the respondents were employed as blue-collar workers and 50.05% as white-collar employees. The rest were employed as agency workers or as members of the senior management. 70.22% of the respondents were engaged as full-time workers.
      The findings from this study show that the relation between the job design and innovative work behaviour differs significantly for blue-and white-collar employees. Job resources, such as organizing tasks, have a more positive relation with innovative work behaviour for white-collar workers in comparison with blue-collar workers. This finding can be linked to previous literatures which identified routine tasks both as potential obstacle and a driver for innovative behaviour.
      Among the significant predictors, leader-member exchange explained about 37 per cent of the variation in innovative behaviour, while leader role expectation explained 13 per cent of variation in innovative behaviour. These two variables explained about 50 per cent of the total variation in individual innovative behaviour in the workplace.
      In another study,Oukes (2013), found a positive relationship between innovative stimulating leadership and innovative work behaviour among workers, this implies that when supervisors display innovative stimulating behaviour to a large extent, employees will be more motivated.
      The above analysis is important to understand the fact that personality can stimulate certain behaviour in employees, and also to understand situations that can determine innovative behaviour.
      In this study, Personality is expected to predict innovative behaviour, it is presumed that employees with high level of certain traits should exhibit innovative behaviour and when some traits are low in an employee, they should exhibit innovative behaviour.

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    • ABSRACT - [ Total Page(s): 1 ]This dissertation explores Personality traits as a determinant of Innovative behaviour in the workplace. The relationship between Personality traits and Innovative behaviour in the workplace were examined.A convenience sample of 200 participants was drawn for the study. The data was gathered with the aid of a standardized structured questionnaire, comprising of an innovative scale and a big five personality scale.The results were correlated using Pearson product moment correlation. The results g ... Continue reading---