Abstract
PurposeThis paper aims to examine the idea that an individual’s attitudes and beliefs toward change depend on the quality of the dyadic relationships formed through his/her ego network. Specifically, the focus of the research question is to test if an individual with high quality dyadic ties to others who have a favorable outlook on change will also have a favorable outlook on change.Design/methodology/approachThe research sample consisted of 100 full-time hotel employees working in six city hotels located in Thessaloniki, Greece. To test the research question, three approaches were used including: a descriptive social network analysis (SNA), multiple regression and homophily testing based on Moran and Geary autocorrelations.FindingsEven though the SNA provided some valuable findings on the way structures and tie quality connected the participants, the results from the regression analysis and homophily testing indicated a lack of a positive relationship linking dyadic ties and behavioral intention toward change suggesting that dyadic ties do not influence behavioral intentions in a way that can be considered favorable to change.Practical implicationsManagers need to be aware that employees’ network relationship quality at the dyadic level is insufficient to create a supportive environment toward change. Therefore, dyadic ties significant contribution through SNA is the identification of power centers, influential people, interdepartmental links and interdependencies necessary to disseminate the change message and build sustainable momentum.Originality/valueThe limited number of prior empirical studies have thus far approached relationship quality as a concept composed of either emotional, psychological or technical features. This study differs by adopting the dimensions of tangibles, empathy, responsiveness, reliability and assurance existing in the TERRA model and by determining whether the dyadic tie quality positively impacts individual behavior toward change through the employment of a tripartite examination to strengthen the validation of similarities or differences in the results.
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