Identification and Analysis of Factors Affecting E-survey Response Rate at Central Bureau of Statistics

Central Bureau of Statistics – BPS is a institution that carries out statistical activities. One of the strategic objectives is to increase response rates. BPS hopes that the response rate of 104 BPS census and survey activities in 2017 will be achieved according to the target set. The problem is 59.61% of these activities have a response rate that does not reach the target. One of the root causes of the target response rate is not achieved because the method of data collection using e-survey technology has not reached the expected target response rate. This study aims to analyze the factors that affect the response rate of e-surveys at BPS and provide recommendations for raising it. The method used in this research is a quantitative case study through surveys and qualitative for give recommendations. The list of variables was obtained from literature and then validated by experts using the Delphi Technique. The results of the model are based on Theory of Planned Behavior, Cognitive Dissonance Theory, Gamification Theory, Social Exchange Theory, Preference of Device and Legal Punishment Theory. The results of data collection obtained 41 company responses and 106 valid household responses. Data analysis using the PLS-SEM. The results showed that the factors that had a significant positive influence were attitude, legal punishment and trust for household respondents and device preference and trust factors for company respondents.