ARTICLE
TITLE

An investigation of the Relationship between Office Automation with the Career Life Quality and Self-Efficacy in Staffs of Health Network of Amol City, Iran

SUMMARY

The purpose of this research was doing investigation relationship between Office Automation with the quality of career life and self-efficacy of staffs of health network of Amol city. The method of this research in terms of goal was practical and in terms of gathering data is correlation descriptive which has been done as field research. The data population includes all employees of health network of Amol city (n=850).and the sampling method of the study was random stratified and Morgan table was used to determine the sample size which 265 people randomly selected as sample. The questionnaires of the study were Adel Office Automation questionnaire (2008), Walton quality of work life (1973) and Sherer self-efficiency (1982) which content and face validity of the questionnaire was confirmed by 10 experts. To determine the reliability the questionnaire was distributed between 30 people of population based on data obtained through Cranach's alpha  this amount is for work life quality questionnaire  a=0.81,self-efficiency a=0.78 and office automation  a=0.80 which indicates the reliability of the questionnaire. Kolmogorov-Smirnov statistical models, Spearman test and linear regression by using SPSS software version 21 were used for inferential analyzing of findings and testing hypotheses. According to Spearman test there is no meaningful and positive relationship between office automation and self-efficiency of employees of health network of Amol city (P=0.45,r= -0.048) but there is positive and meaningful relationship between office automation and life quality of  employees (P=0.001>, r=0.519).results of linear regression indicated that office automation has no meaningful effect  on self-efficiency of employs (p=0.19, t=-1.3) but office automation has meaningful effect on the quality life of employees (P>0.001,t=10.05) and according to  determination coefficient (R2) the office automation explains 30% of the variable variance of the criteria.

 Articles related

Luca Granieri    

Modern science was historically built  by avoiding a direct treatment of cause-effect relationship questions. Recent developments in mathematical, probabilistic and statistical sciences make possible to pursue a more direct approach in cause-effect ... see more


Jay David Thornton    

Viceroy Francisco de Toledo’s 16th century population re–concentrations of the indigenous peoples of Charcas (modern day Bolivia) have been widely recognized as the most definitive attempt to transform indigenous Andean society along Iberian lines of set... see more


Philip Brown,Noelle O'Connor    

The global tourism industry is inextricably linked with climate change, and, faced with a ‘climate emergency’, there is an increasing emphasis on finding environmentally sustainable tourism models. One such model is ‘carbon-neutral tourism (CNT)’. This p... see more


Sucel Batista Fonseca    

Para Cuba queda claro que continúa siendo un desafío elevar la producción agropecuaria con sostenibilidad, por tanto, resulta importante el estudio de la población que lleva a cabo las transformaciones que se proyectan, especialmente las familias implica... see more


Fauzia Umami    

This background of this research was the lack of the students’ interpersonal intelligence of Class VIII-A at SMP Negeri 14 Bandung during the learning of social sciences, marked by several students experiencing difficulties to socialize with their peers ... see more