Business Intelligence & Analytics and Its Effect on Indonesia’s Startup Performance

DOI

10.2991/aebmr.k.210831.125How to use a DOI?

Keywords

Business Intelligence, Network Learning, Innovativeness, Startup, Indonesia

Abstract

Business intelligence is the most developed subject in strategic management research; however the connection to startup performance has not been much conducted in research. This research examines the model for startups in Indonesia, considering that investment for startups in Indonesia is one of the largest in the region of Asia Pacific. The research used SEM-PLS to analyze the relationship between business intelligence, innovation, network learning, and startup performance. The unit of analysis used was the startup registered in the Indonesian startup database, published by the Indonesian Creative Economy Agency (Badan Ekonomi Kreatif). It was 992 startups registered, and there were sent to 885 emails to startups that included emails. Just 31 startups replied to the research questionnaire, resulting in a 3.5 percent response rate. The findings of this study show that while business intelligence does not appear to have an impact on startup success, it does have an impact on network learning. Innovativeness has been shown to have an effect on startup success in Indonesia. The paper helps to explain the position of business intelligence. Of these, only 31 startups filled out the research questionnaire or a response rate of 3.5%. Result of this study find that business intelligence is not proven to have an influence on startup performance, but it does affect network learning. What is proven to have an influence on startup performance in Indonesia is innovativeness. The paper allows a better understanding of the role of business intelligence, network learning, and innovativeness for startups. This improved understanding can help executives or managers of startup in making their decisions. In contrast to the results of previous research on the effect of business intelligence on startup performance, the results obtained from this study do not support this relationship. This research paves the way for the need for confirmation of the effect of business intelligence on startup performance, as well as further understanding of how the mechanisms are going on in it.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sunu Puguh Hayu Triono
AU  - Rama Chandra Jaya
PY  - 2021
DA  - 2021/09/02
TI  - Business Intelligence & Analytics and Its Effect on Indonesia’s Startup Performance
BT  - Proceedings of the 5th Global Conference on Business, Management and Entrepreneurship (GCBME 2020)
PB  - Atlantis Press
SP  - 658
EP  - 664
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210831.125
DO  - 10.2991/aebmr.k.210831.125
ID  - Triono2021
ER  -