جستجوی مقالات مرتبط با کلیدواژه "subjective data" در نشریات گروه "مدیریت"

The main purpose of this study is to evaluate the effect of different gamification mechanics on the user engagement in mobile applications using objective and subjective data. In this study, we evaluated user engagement in “BESHNO” audiobook application as a case study by comparison between results of objective and subjective data. The research method of this study is descriptive-correlational, causal-comparative and experimental. The sample size of this study is 390 users of the "BESHNO" audio book application (130 users per each gamification mechanic). The results of this study showed that based on the objective and subjective data analysis, using different gamification mechanics has a different effect on the amount and dimensions of user engagement. There is also a significant difference between the findings of objective and subjective data analysis regarding the level of user engagement. However, there is a similar pattern in objective and subjective data analysis when using different gamification mechanics. In addition, the results of this study showed that the "Badge" gamification mechanic is the most effective and the "Reward" gamification mechanic is the least effective mechanics on user engagement.

The purpose of this study is to provide a model to evaluate the effect of different elements of Gamification on the extent and dimensions of brand user engagement. The case study is "Beshno" audio book application. This research consists of two main stages. In the first stage, a model extracted to evaluate the effect of Gamification on brand engagement through a qualitative research, and in the second stage, the effect of using different gamification mechanics studied on brand engagement based on objective and subjective data analisys. The research method of this study is mixed method (qualitative and quantitative). In the qualitative part, we used the theme analysis method and in the quantitative part, the causal-comparison method and data analysis of variance tests have been used. The statistical population of the study in the qualitative section includes a group of experts and specialists in the field of gamification and in the quantitative section; we used "Beshno" App users. The sample size of this research was 7 people in the qualitative section and 390 users in the quantitative section. The results of this research in the first part was a model of the effect of gamification on brand engagement , also the results of the second part  determined the effect of using different gamification mechanics on the amount and dimensions of brand engagement by using both objective and subjectiv data analysis. The results also showed that there is a significant difference between the findings of objective and subjective data analysis, although a similar pattern seen in comparing both analysis. Based on the results, the "Badge" gamification mechanics creates the highest brand engagement and the "award" gamification mechanics creates the lowest brand engagement. Findings of this study showed that demographic variables also affect the degree of brand engagement in each gamification mechanic.