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JOURNAL OF APPLIED BUSINESS ADMINISTRATION
Article . 2023 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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The Application of Big Data on The Performance of MSME Businesses in Batam City

Authors: Syarif Hidayah Lubis; Ni Putu Winda Ayuningtyas; Hardi Bahar;

The Application of Big Data on The Performance of MSME Businesses in Batam City

Abstract

This study investigates the influence of Big Data implementation on the business performance of Micro, Small, and Medium Enterprises (MSMEs) in Batam City. The research examines three characteristics of Big Data—Data Volume, Data Velocity, and Data Variety—and their impact on MSMEs' business performance. Data were collected through questionnaires distributed to MSME owners or managers in Batam. Statistical analysis, including descriptive statistics, validity tests, reliability tests, and hypothesis testing using T-tests, was conducted to analyze the data. The findings indicate that the implementation of Big Data with Data Volume and Data Velocity characteristics does not significantly influence the business performance of MSMEs in Batam City. However, the implementation of Big Data with Data Variety characteristics shows a significant positive influence on MSMEs' business performance. This suggests that the diverse information encompassed by Data Variety aids MSMEs in improving their business performance by identifying and addressing various aspects of their operations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold