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All Journal Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Journal Markcount Finance Islamic Studies in the World
Arifian, Dini
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Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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The Impact of Augmented Reality on Consumer Engagement and Brand Loyalty Tunnufus, Zakiyya; Arifian, Dini; Furniawan, Furniawan; Suharna, Dede; Pardosi, Pardomuan
Journal Markcount Finance Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v2i2.1287

Abstract

In today's digital era, Augmented Reality (AR) technology is increasingly gaining attention as an innovative tool in marketing and consumer experience. AR offers interactive experiences that combine virtual elements with the real world, giving consumers new ways to interact with goods and brands. This study aims to determine how the use of augmented reality (AR) technology impacts consumer engagement and brand loyalty. Specifically, this research wants to know how interactive experiences with AR affect consumers' level of engagement with a brand and how much that engagement contributes to the formation of brand loyalty. This research was conducted using a quantitative approach and was designed as a survey. AR apps from various brands deploy questionnaires to collect data. The goal of this questionnaire is to measure consumer engagement, user experience with AR, and brand loyalty.  Studies show that the use of augmented reality (AR) significantly increases consumer engagement with brands. Consumers say that interactive and immersive AR experiences make them more interested in the goods and brands. The study found that augmented reality (AR) technology increases consumer engagement and brand loyalty.
Determinan Profitabilitas Bank Studi Empiris di Indonesia Arifian, Dini; Noor, Juliansyah
Jurnal Aplikasi Bisnis dan Manajemen Vol. 8 No. 3 (2022): JABM Vol. 8 No. 3, September 2022
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.8.3.985

Abstract

This study aims to investigate the determinants that impact the profitability of 20 banks in Indonesia period from 2013 to 2021, as low profitability reduces banks' ability and willingness to finance the broader economy. The study uses panel data analysis, conducting three profitability bank measures: the net interest margin, the return on assets, and the return on equity. Inflation and gross domestic product growth were control variables that had not been studied in prior studies. The study's findings indicate that capital adequacy ratio, nonperforming loans, operation expenses, and bank size have strong effects on profitability. The study also finds that inflation and gross domestic product growth variables influence bank profitability. The study also finds that the direction of causality is not consistent among bank’s profitability measurements. According to our knowledge, this study is the first to investigate internal and external determinants of bank profitability in Indonesia that have not been studied previously. Keywords: bank’s profitability, bank size, capital adequacy ratio, nonperforming loans, operating expenses
The Impact of Artificial Intelligence on Investment Decision-Making Arifian, Dini; Mudawanah, Siti; Herlina, Herlina; Sofana, Ana Ima
Islamic Studies in the World Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v1i2.1522

Abstract

Background. The increasing integration of artificial intelligence (AI) in finance is reshaping investment decision-making, as AI provides tools for analyzing large datasets, forecasting trends, and automating trading processes. This shift toward AI-driven insights aims to enhance decision accuracy and reduce human error, ultimately transforming traditional investment practices. Purpose. This study investigates the impact of AI on investment decision-making, focusing on how AI algorithms influence investor behavior, market forecasting, and risk management. The objective is to assess whether AI-driven models improve decision quality and identify any limitations in their application. Method. A mixed-method research approach was employed, combining quantitative analysis of AI model performance with qualitative insights from industry professionals. Machine learning algorithms were used to analyze historical investment data and predict market trends, while interviews with investment managers provided perspectives on the practical benefits and challenges of AI in financial decision-making. Results. Results indicate that AI algorithms can improve predictive accuracy by up to 90%, with reduced response times in volatile markets. However, reliance on AI models also introduces risks, including over-reliance on algorithmic predictions and potential biases in data. Conclusion. The study concludes that while AI significantly enhances investment decision-making through improved forecasting and efficiency, its limitations necessitate careful oversight. Implementing AI in investment requires a balanced approach, combining human expertise with algorithmic insights to optimize decision outcomes. The findings underscore the potential for AI to support investment strategies while highlighting the need for ethical and transparent AI applications.
Co-Authors Ana Ima Sofana Dede Suharna Furniawan, Furniawan Herlina Herlina Noor, Juliansyah Pardosi, Pardomuan Siti Mudawanah Tunnufus, Zakiyya