Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Riset Bisnis dan Investasi
Maryani, Linda
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Peran Strategi Bisnis Dalam Meningkatkan Keunggulan Bersaing di Industri Fashion Maryani, Linda; Chaniago, Harmon
Jurnal Riset Bisnis dan Investasi Vol 5 No 1 (2019): JURNAL RISET BISNIS & INVESTASI
Publisher : Jurnal Riset Bisnis dan Investasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.733 KB) | DOI: 10.35697/jrbi.v5i1.1615

Abstract

This research aims to analyze the influence of business strategy in increasing competitive advantage. Selected population is the Creative Industry SMEs in the fashion sector in Bandung, amounting to 507 population in the period 2010-2017 and the number of samples of 223 SMEs fashion business in Bandung. Data collection using questionnaires with Likert scale. Data analysis using Regression Linear with SPSS 22.0. The result of data analysis shows that the research model can be accepted with goodness of fit test, that is effect positive and significant to competitive advantage.
Peran Strategi Bisnis Dalam Meningkatkan Keunggulan Bersaing di Industri Fashion Maryani, Linda; Chaniago, Harmon
Jurnal Riset Bisnis dan Investasi Vol. 5 No. 1 (2019): Jurnal Riset Bisnis dan Investasi
Publisher : Jurnal Riset Bisnis dan Investasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jrbi.v5i1.1615

Abstract

This research aims to analyze the influence of business strategy in increasing competitive advantage. Selected population is the Creative Industry SMEs in the fashion sector in Bandung, amounting to 507 population in the period 2010-2017 and the number of samples of 223 SMEs fashion business in Bandung. Data collection using questionnaires with Likert scale. Data analysis using Regression Linear with SPSS 22.0. The result of data analysis shows that the research model can be accepted with goodness of fit test, that is effect positive and significant to competitive advantage.
Co-Authors Chaniago, Harmon