The power of culture : exploring organizational culture and how it shapes employee experience at Landsvirkjun

Abstract

In every organization, a culture is formed. This study aimed to examine Landsvirkjun's culture using the Denison Organizational Culture Survey (DOCS) and assess whether demographic factors such as gender, tenure, division, and location influence the experience of culture within the organization, job satisfaction, organizational commitment, and turnover intention. The aim of the study was also to examine the relationship between organizational culture and job satisfaction, organizational commitment, and turnover intention. All employees at Landsvirkjun were invited to participate in the study, with 37.6% (N = 140) of employees responding to the questionnaire. The questionnaire contained a total of 69 questions. It was based on DOCS, Short Index of Job Satisfaction (SIJS), Organizational Commitment Questionnaire (OCQ), Three-Item Turnover Intention Scale, and background questions. The data in the study were analyzed using descriptive statistics, MANOVA, ANOVA, T-Test, Pearson correlation, and multiple regression analysis.

In every organization, a culture is formed. This study aimed to examine Landsvirkjun's culture using the Denison Organizational Culture Survey (DOCS) and assess whether demographic factors such as gender, tenure, division, and location influence the experience of culture within the organization, job satisfaction, organizational commitment, and turnover intention. The aim of the study was also to examine the relationship between organizational culture and job satisfaction, organizational commitment, and turnover intention. All employees at Landsvirkjun were invited to participate in the study, with 37.6% (N = 140) of employees responding to the questionnaire. The questionnaire contained a total of 69 questions. It was based on DOCS, Short Index of Job Satisfaction (SIJS), Organizational Commitment Questionnaire (OCQ), Three-Item Turnover Intention Scale, and background questions. The data in the study were analyzed using descriptive statistics, MANOVA, ANOVA, T-Test, Pearson correlation, and multiple regression analysis.