PENGARUH TEKNOLOGI BIG DATA TERHADAP NILAI PERUSAHAAN MELALUI KINERJA KEUANGAN PERUSAHAAN MANUFAKTUR

Astuti, Rizkiyatul (2024) PENGARUH TEKNOLOGI BIG DATA TERHADAP NILAI PERUSAHAAN MELALUI KINERJA KEUANGAN PERUSAHAAN MANUFAKTUR. Undergraduate thesis, Universitas Muhammadiyah Malang.

[thumbnail of PENDAHULUAN.pdf]
Preview
Text
PENDAHULUAN.pdf

Download (1MB) | Preview
[thumbnail of BAB I.pdf]
Preview
Text
BAB I.pdf

Download (326kB) | Preview
[thumbnail of BAB II.pdf]
Preview
Text
BAB II.pdf

Download (404kB) | Preview
[thumbnail of BAB III.pdf]
Preview
Text
BAB III.pdf

Download (470kB) | Preview
[thumbnail of BAB IV.pdf] Text
BAB IV.pdf
Restricted to Registered users only

Download (536kB) | Request a copy
[thumbnail of BAB V.pdf] Text
BAB V.pdf
Restricted to Registered users only

Download (192kB) | Request a copy
[thumbnail of LAMPIRAN .pdf] Text
LAMPIRAN .pdf
Restricted to Registered users only

Download (368kB) | Request a copy

Abstract

This study aims to examine the impact of Big Data technology on company value, mediated by financial performance in manufacturing companies. In this digital era, the use of Big Data technology is increasing and becoming an integral part of various sectors, including the manufacturing sector. Big Data not only helps companies manage large and complex data but also provides deeper insights that can enhance a company's financial performance. Through the analysis of various variables such as Market Value Equity (MVER) and Return on Investment (ROI), this study evaluates the extent to which Big Data technology can influence company value both directly and through improved financial performance. The results of the study indicate that the application of Big Data technology has a significant positive impact on company value, with financial performance serving as a strong mediator in this relationship. This research makes important contributions to the academic literature on information technology and financial management, and provides practical implications for manufacturing companies in making data-driven strategic decisions.

Item Type: Thesis (Undergraduate)
Student ID: 202010170311013
Keywords: big data technology, company value, financial performance, manufacturing companies
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HF Commerce > HF5601 Accounting
H Social Sciences > HG Finance
Divisions: Faculty of Economics and Business > Department of Accounting (62201)
Depositing User: 202010170311013 rizkiyatulastuti06
Date Deposited: 27 Jun 2024 01:51
Last Modified: 27 Jun 2024 01:51
URI: https://eprints.umm.ac.id/id/eprint/7512

Actions (login required)

View Item
View Item