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All Journal JURNAL AKUNTANSI KEUANGAN DAN MANAJEMEN Algor
Jonathan, Christy
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Dampak Literasi Keuangan dan Bias Kognitif terhadap Keputusan Investasi: Sebuah Analisis Jonathan, Christy; Pradana, Bayu Laksma
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 6 No. 4 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v6i4.4413

Abstract

Purpose: This study intends to investigate how financial literacy and cognitive biases, namely overconfidence and availability bias, influence investment decisions in the stock market. Methodology/approach: This research targeted stock investors in Jakarta, accumulating 141 responses via Google Forms survey distributed on social media. Responses were collected between October 2024 - December 2024 using purposive sampling. Data were examined by utilizing SmartPLS 3. Results/findings: The findings reveal that financial literacy and cognitive biases positively influence stock investment decisions. Furthermore, this research also displays that overconfidence bias moderates the relationship between financial literacy and investment decision, exhibiting negative impact. Conclusion: This study concludes that financial literacy and cognitive biases depict a significant role in forming investment decisions, emphasizing the importance for improved financial education to mitigate biases. Limitations: This study concentrates on a particular age group of investors in Jakarta, restricting its generalizability to the broader population of Indonesian investors. Contribution: This study enriches existing literature on investment decisions by highlighting the moderating role of overconfidence bias. Additionally, it underscores the importance of enhancing financial literacy in Indonesia to optimize investment decisions and reduce unnecessary losses.
Pengaruh Penerapan Algoritma Sistem Rekomendasi terhadap Keputusan Pra-Pembelian Konsumen Shopee Indonesia Jonathan, Christy; Fidela, Cecilia; Aisya, Annaiya Rihhadatul; Andrew; Sutawijaya, Bernard Limasta; Athallah, Muhammad Ifdal
ALGOR Vol. 7 No. 1 (2025): Another Day, Another Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

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Abstract

COVID-19 pandemic has altered many fields, including trades. Related direct activities have currently shifted to online through e-commerce. One of those popular ones is Shopee. This study is conducted in order to seek the influence of the recommender system algorithm towards the pre-purchase decision of Indonesian Shopee users. Quantitative methods of research methodology are used to collect primary data through questionnaire distribution. Secondary data are compiled with qualitative methods through literature review based on various journal articles and books on information systems and consumer behavior. Results of the study implied that Shopee’s recommender system prompts its users to seek more information about products of their needs. Information gained by users will be used as their consideration material before committing the transaction. Such behavior is concluded as the pre-purchase decision. The algorithms in the recommender system are proven to positively influence the pre-purchase decision of Indonesian Shopee consumers.
Co-Authors Aisya, Annaiya Rihhadatul Andrew Athallah, Muhammad Ifdal Fidela, Cecilia Pradana, Bayu Laksma Sutawijaya, Bernard Limasta