Article Per Year (5 Year)
p-Index From 2020 - 2025
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All Journal International Conferences SDGs 2030 Challenges and Solutions Management and Economics Journal (MEC-J)
Nirwanto, Nazief
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Return on Assets, Firm Value, and Good Corporate Governance: Empirical at Foreign Exchange Banks In Indonesia Ningsih, Risna; Nirwanto, Nazief; Zuhroh, Diana
MEC-J (Management and Economics Journal) Vol 4, No 1 (2020)
Publisher : Faculty of Economics, State Islamic University of Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.92 KB) | DOI: 10.18860/mec-j.v4i1.8314

Abstract

Every firm tries to improve the performance in order to achieve its goal, namely maximizing the firm wealth or value (Salvatore, 2005). The purpose of this study was to examine the effect of Return on Assets on firm value with Good Corporate Governance as its moderating variable. This study used 29 Foreign Exchange Banks in LQ45 category and listed in Indonesia Stock Exchange in 2014-2017. The firm value was measured by using Tobin's Q while GCG was measured by Independent commissioner. The results of the study showed that  Good corporate governance which is proxied by the independent commissioner weakens the influence of Return on Assets to the firm value.
The Influence of Social Media and Service Quality on Satisfaction and Loyalty Suprajang, Sandi Eka; Nirwanto, Nazief; Firdiansjah, Achmad
International Conferences SDGs 2030 Challenges and Solutions Vol 1, No 1 (2017)
Publisher : International Conferences SDGs 2030 Challenges and Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.747 KB)

Abstract

Loyalty is an important for tourists’ destination. This research aims to know the influence of social media and the quality of service either directly or indirectly against loyalty through the satisfaction of tourists at nature tourism destination in Blitar District. The population in this study amounted to 202,990 people. The sample in this research totaled 123 respondents and purposive sampling method using the samples. The data analysis in this study using analysis of Structural Equation Modeling (SEM) method.
Co-Authors Diana Zuhroh Firdiansjah, Achmad Ningsih, Risna Sandi Eka Suprajang