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Working Capital and Debt Policy on Profitability of The Companies Lumapow, Lihard Stevanus; Tumiwa, Ramon Arthur Ferry
International Journal of Accounting and Finance in Asia Pasific (IJAFAP) Vol 3, No 2 (2020): June 2020
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijafap.v3i2.832

Abstract

Profitability is a measure of a company's success in making a profit. The objectives of this study are: (1) to test and analyze whether profitability is affected by working capital, and (2) to test and analyze whether profitability is affected by debt policy. This research uses quantitative research methods, using a sample of 12 automotive and components companies listed on the Indonesia Stock Exchange in 2012 to 2017 with a purposive sampling technique. The analysis technique in this study uses panel data with multiple regression. The results obtained indicate that working capital has a negative and not significant effect on profitability, as well as debt policy variables have a negative but not significant effect on profitability.
The Influence of Managerial Ownership and Institutional Ownership on Agency Costs (Studies on Manufacturing Companies in The Basic Industrial and Chemical Sectors Listed on The Indonesia Stock Exchange) Tumiwa, Ramon Arthur Ferry; Mamuaya, Nova Christian
International Journal of Applied Business and International Management Vol 3, No 1 (2018): August 2018
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijabim.v3i1.78

Abstract

The purpose of this study is to examine and analyze: (1) the effect of managerial ownership on agency costs, (2) the effect of institutional ownership on agency costs, and (3) the effect of managerial ownership and institutional ownership simultaneously affect to agency costs. This research was conducted at the primary industrial sector and chemical of manufacturing companies that listed on the Indonesia stock exchange 2014-2016. The companies analyzed amounted to 18 companies determined based on sampling criteria. The analysis method used is panel data analysis by using Eviews 9 programming computer. The results of this study found that managerial ownership has an insignificant relationship with agency cost. The institutional ownership has an insignificant with agency costs. The managerial ownership and institutional ownership have no significant effect on agency costs, simultaneous.
Artificial Intelligence’s Role in Enhancing MSMEs Revenue through Digital Promotion HS, Sahat Renol; Purba, Selvita Eka Eviana; Watung, Sjeddie R; Tumiwa, Ramon Arthur Ferry; Langi, Jessylistina Hercyliana
Economic Education Analysis Journal Vol. 14 No. 3 (2025): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/eeaj.v14i3.33854

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the global economy but face challenges in effectively leveraging artificial intelligence (AI)-based digital marketing. This study aims to analyze the effects of automation, personalization (PER), and advertising efficiency (EFF) on marketing performance (MP) and their implications for MSME revenue (REV). Data were collected through a cross-sectional survey of 95 MSMEs in North Sumatra that have adopted AI-based digital promotions. The questionnaire consisted of 25 indicators covering five constructs: AUT (5 items), PER (5 items), EFF (5 items), MP (5 items), and REV (5 items). The analysis was conducted using SEM-PLS. The results indicate that AUT (p = 0.000), PER (p = 0.011), and EFF (p = 0.000) significantly influence MP but do not have a direct effect on REV (p > 0.05). In contrast, MP (p = 0.000) serves as a key mediator, channeling the benefits of AI-based strategies into revenue growth. The research model explains 51% of the variance in Marketing Performance and 29.8% of the variance in Revenue. These findings underscore that the impact of AI on MSME revenue is indirect, occurring through enhanced marketing effectiveness, customer engagement, and promotional innovation. The implications suggest that strengthening digital capabilities, visionary leadership, and adequate technological infrastructure are prerequisites for MSMEs to fully exploit AI potential. Therefore, an integrated AI-based marketing strategy can enhance both competitiveness and financial performance of MSMEs in the digital era.