Identification and analysis of factors affecting e-survey response rate at central bureau of statistics

Aisha Adetia, Indra Budi, Farisya Setiadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages560-565
Number of pages6
ISBN (Electronic)9781728170718
DOIs
Publication statusPublished - Aug 2020
Event5th International Conference on Information Management and Technology, ICIMTech 2020 - Virtual, Bandung, Indonesia
Duration: 13 Aug 202014 Aug 2020

Publication series

NameProceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020

Conference

Conference5th International Conference on Information Management and Technology, ICIMTech 2020
CountryIndonesia
CityVirtual, Bandung
Period13/08/2014/08/20

Keywords

  • Central bureau of statistics
  • Delphi technique
  • E-survey
  • PLS-SEM
  • Response rate

Fingerprint Dive into the research topics of 'Identification and analysis of factors affecting e-survey response rate at central bureau of statistics'. Together they form a unique fingerprint.

Cite this