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THE EFFECT OF INTELLECTUAL CAPITAL ON FINANCIAL PERFORMANCE OF INNOVATIVE MANUFACTURING COMPANIES IN INDONESIA: THE MEDIATING EFFECTS OF COMPETITIVE ADVANTAGE Andi Wijayanto; Suhadak Suhadak; Moch. Dzulkirom; Nila Firdausi Nuzula
UNEJ e-Proceeding the 3rd International Conference on Economics, Business, and Accounting Studies
Publisher : UPT Penerbitan Universitas Jember

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Abstract

In the era of knowledge economy, Intellectual Capital is an important factor for corporate competitive advantage and higher Financial Performance. This study aims to examine the mediating effect of Competitive Advantage on the influence of Intellectual Capital on Financial Performance. The study was conducted on 31 innovative manufacturing companies listed on the Indonesia Stock Exchange. Innovative manufacturing companies are companies that demonstrate a commitment to conducting research and development activities. The data analyzed was data from 2011-2016. Data analyzed used Generalized Structured Component Analysis (GSCA). The mediating effect of Competitive Advantage was tested used Sobel Test. The result of this research concludes that Intellectual Capital has positive and significant influence on Competitive Advantage, Intellectual Capital has positive and significant influence on Financial Performance, and Competitive Advantage has negative and significant effect on Financial Performance. Competitive Advantage significantly mediates the influence of Intellectual Capital on Financial Performance.
PENGARUH PROFITABILITAS TERHADAP NILAI PERUSAHAAN MELALUI KEBIJAKAN DIVIDEN SEBAGAI VARIABEL INTERVENING (Studi pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2012-2016) Zulfa Afifatul Azhar; Andi Wijayanto
Jurnal Ilmu Administrasi Bisnis Vol 7, No 4 (2018)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.612 KB) | DOI: 10.14710/jiab.2018.21918

Abstract

This study aims to determine the effect of profitability on firm value through dividend policy as intervening variable. The population in this study were 133 manufacturing companies listed on the Indonesia Stock Exchange in 2012-2016. The data used in this study is secondary data in the form of Corporate Financial Statements that have been published through the Indonesia Stock Exchange. The total sample that meets the criteria in this research is 17 manufacturing companies. The results showed that partially profitability has a positive and significant influence on firm value. Profitability has a positive and significant influence on dividend policy. Furthermore, dividend policy also has a positive and significant impact on company value. In stimulant, profitability variable and dividend policy have significant effect to firm value. Based on the sobel test, it is known that the dividend policy variable as the intervening variable can mediate the relationship between profitability variable and firm value.
Literature Review: The Role Of Big Data In Business Intelligence (BI) Surya Jaya, Anton; Ari Pradhanawati; Andi Wijayanto
International Journal of Economics, Business and Innovation Research Vol. 4 No. 06 (2025): October- November, International Journal of Economics, Business and Innovation
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijebir.v4i06.2391

Abstract

This literature review explores the pivotal role of Big Data in enhancing Business Intelligence (BI) capabilities, particularly in strategic decision-making, operational efficiency, and gaining a competitive advantage. Through an analysis of recent studies, it highlights how Big Data facilitates real-time insights, enabling firms to optimize processes, improve predictive analytics, and adapt to dynamic market conditions. The review integrates theoretical frameworks such as Dynamic Capability Theory and Resource-Based Theory to underline the strategic value of Big Data in BI. Despite its transformative potential, challenges like high implementation costs, technological complexity, and resource limitations hinder its adoption, particularly for small and medium-sized enterprises. This study identifies gaps in current research and calls for further exploration into cost-effective solutions and skill development to enable broader adoption across various industries and regions.
Penerapan Big Data Analytics dalam Rantai Nilai Produk Berkelanjutan: Studi Literatur dan Perspektif Industri Darwisy Syafiq Arroyyan; Hari Susanta Nugraha; Andi Wijayanto
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 5 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i5.7186

Abstract

Big Data Analytics (BDA) has become one of the key technologies that supports the progress of various industrial sectors, including decision making, sustainability and operational efficiency. This article provides a comprehensive overview of the development and contribution of BDA in sustainable product development. Based on a literature review involving 10 recent articles, this research identifies the important role of BDA in increasing organizational efficiency and productivity and supporting data-based decision making. The research also highlights key challenges in implementing BDA, including the need for adequate infrastructure, efficient technology integration, and a global regulatory framework related to data security and governance. Several studies show that although BDA has great potential to improve organizational performance, many technical and operational challenges must be overcome. In addition, the application of BDA in sustainable products can make a significant contribution to sustainable development goals by introducing a more environmentally friendly and efficient approach in product life cycle management. This article concludes that despite much progress, further research is needed to develop more integrated systems and support the implementation of BDA globally.