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Analysis Of Factors Affecting Bond Ratings Of Manufacturing Herlyaminda, Evi; Sadewo, Panji; Sulistiani, Sulistiani; Andestar, Tomi
Journal of Management, Economic, and Accounting Vol. 4 No. 1 (2025): Januari- Juni
Publisher : Universitas Dehasen Bengkulu

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Abstract

In this study, factors that influence bond rankings in manufacturing companies have been analyzed.The results of this study show that other variables such as bond liquidity, company size, exchange rates, interest rates, and solvency can also affect bond ratings. The study aims to analyze thefactors that influence the rating of bonds in manufacturing companies. Using a factor analysis approach, the study explores the relationship between various factors such as financial performance, corporate stability, and other factors that can influence bond ratings. Data from a number of manufacturing companies is used to identify key factors that contribute to the rating of bonds given by rating agencies. The results of this analysis are expected to provide valuable insights for manufacturing companies in raising their bond ratings and strengthening their financial position in the bond market.
The Influence Of E-Commerce And Digital Payments On The Income Of Micro, Small, And Medium Enterprises (Msmes) In Bengkulu City Andestar, Tomi; Yanti , Rina Trisna; Yustanti, Nirta Vera
Journal of Business Management Vol. 2 No. 1 (2025): November
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jbusman.v2i1.418

Abstract

This study aims to analyze the influence of e-commerce and digital payment systems on the revenue of Micro, Small, and Medium Enterprises (MSMEs) in Bengkulu City. This study used a quantitative associative approach with a survey method involving 100 MSME respondents who utilize e-commerce platforms and digital payment services. Data were collected using a questionnaire and analyzed through multiple linear regression with SPSS to test the partial and simultaneous effects of independent variables on MSME revenue. Based on data from 100 MSME respondents, a multiple linear regression analysis yielded a coefficient of determination (R²) of 0.526, indicating that variations in MSME revenue can be explained by e-commerce and digital payments. The results of this study indicate that e-commerce and digital payments, both partially and simultaneously, have a positive and significant influence on MSME revenue.