Job Satisfaction and Innovation in Non-profit Organisations : Relationships between Facets of Job Satisfaction and Technological and Administrative Innovations
Ksouris, Giorgos (2013)
Ksouris, Giorgos
Metropolia Ammattikorkeakoulu
2013
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2013102716345
https://urn.fi/URN:NBN:fi:amk-2013102716345
Tiivistelmä
Research indicates that organisations need to be more flexible, adaptive, entrepreneurial and innovative in order to effectively meet the changing demands of today’s environment. On the other hand, it seems that higher level of job satisfaction is beneficial for companies to promote innovation climate and innovation activities. Therefore, job satisfaction appears to be tied to innovation, which is vital for the long-term success of the non-profit organisations.
This study examines the potential relationships between job satisfaction facets, such as income, opportunities for advancement, relations with co-workers and supervisor, nature of work and job security, with technological and administrative innovations in the context of non-profit organisations. There were three stages to the research: formulating a conceptual model defining, based on literature, the concepts and relationships of job satisfaction, its facets and the two types of innovation; studying a non-profit organisation and identifying a way of measuring the afore-mentioned relationships; and testing the conceptual model utilising statistical theories.
The employees of the case-study organisation completed a questionnaire measuring job satisfaction facets, technological and administrative innovations. The results indicated that facets that are favourable to administrative innovation differ from those that are conducive to technological innovation. In particular, satisfaction with income and the relations with co-workers are statistically significant predictors of administrative innovation, in a positive and a negative way respectively. Plus, satisfaction with the opportunities for advancement is a positive significant predictor of technological innovation. Complementing these results, an automatic model, which was built using IBM SPSS Statistics 21, designated the relation with co-workers and the manager and the satisfaction with the income and the nature of work as further important predictors of technological innovation and the opportunities for advancement and the job security as additional important predictors of administrative innovation.
This study examines the potential relationships between job satisfaction facets, such as income, opportunities for advancement, relations with co-workers and supervisor, nature of work and job security, with technological and administrative innovations in the context of non-profit organisations. There were three stages to the research: formulating a conceptual model defining, based on literature, the concepts and relationships of job satisfaction, its facets and the two types of innovation; studying a non-profit organisation and identifying a way of measuring the afore-mentioned relationships; and testing the conceptual model utilising statistical theories.
The employees of the case-study organisation completed a questionnaire measuring job satisfaction facets, technological and administrative innovations. The results indicated that facets that are favourable to administrative innovation differ from those that are conducive to technological innovation. In particular, satisfaction with income and the relations with co-workers are statistically significant predictors of administrative innovation, in a positive and a negative way respectively. Plus, satisfaction with the opportunities for advancement is a positive significant predictor of technological innovation. Complementing these results, an automatic model, which was built using IBM SPSS Statistics 21, designated the relation with co-workers and the manager and the satisfaction with the income and the nature of work as further important predictors of technological innovation and the opportunities for advancement and the job security as additional important predictors of administrative innovation.