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The Ethical Implications of AI-Driven Digital Marketing Development : A Qualitative Study in the Indonesian Business Landscape Mohamad Chaidir; Ruslaini Ruslaini; Seger Santoso
Proceeding of The International Conference on Economics and Business Vol. 1 No. 1 (2022): Proceeding of The International Conference on Economics and Business
Publisher : Universitas Kristen Indonesia Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/iceb.v1i1.377

Abstract

This study investigates the ethical implications of AI-driven digital marketing development within the Indonesian business landscape. The research aims to explore the ethical considerations surrounding the integration of artificial intelligence in digital marketing practices and its impact on businesses operating in Indonesia. Employing a qualitative approach, the study utilizes in-depth interviews with key stakeholders in the digital marketing industry, including marketers, consumers, and industry experts. A purposive sampling technique is employed to select participants with diverse perspectives and experiences related to AI-driven digital marketing. Data analysis involves thematic analysis to identify emerging themes and patterns regarding ethical dilemmas, concerns, and best practices in AI-driven digital marketing. The findings highlight the complex ethical challenges faced by businesses in leveraging AI technology for marketing purposes in Indonesia and provide insights into potential strategies for addressing these challenges responsibly.
Forecasting Cerdas: Kunci Sukses Bisnis Mohamad Chaidir; Ruslaini Ruslaini; Shinta Amelia
Cakrawala: Jurnal Pengabdian Masyarakat Global Vol. 4 No. 1 (2025): Cakrawala: Jurnal Pengabdian Masyarakat Global
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/cakrawala.v4i1.3786

Abstract

This research examines the role of intelligent forecasting as a key element in modern business success. By leveraging artificial intelligence (AI) technology, big data analytics, and machine learning, intelligent forecasting enables companies to predict market trends and optimize strategic decision-making. The research method was conducted through online webinars involving academics, practitioners, and business actors. The results showed that intelligent forecasting could improve accuracy by up to 98.2% and prediction ratio by 96.5%. However, MSMEs still face challenges in adopting this technology, including limited resources and technological understanding. This research concludes that intelligent forecasting is vital in improving operational efficiency and business competitiveness, but a more inclusive approach is needed to ensure wider adoption across various business scales.
Transformasi Digital dalam Manajemen Keuangan: Studi Kasus pada UMKM Indonesia di Era Ekonomi Digital Mohamad Chaidir; Ruslaini Ruslaini; Dadang Irawan
Jurnal Mahasiswa Manajemen dan Akuntansi Vol. 4 No. 1 (2025): April-September: JUMMA'45: Jurnal Mahasiswa Manajemen dan Akuntansi
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/jumma45.v4i1.4138

Abstract

This study analyzes the impact of digital transformation on the financial management of micro, small, and medium enterprises (MSMEs) in Indonesia in the digital economy era. MSMEs play a crucial role in the national economy but face challenges such as low digital and financial literacy levels, limited technology access, and uneven infrastructure. Digital transformation offers various opportunities, including operational efficiency, financial reporting transparency, and access to fintech-based financial services. However, risks such as data security and resistance to change remain concerns. This research uses a literature review method to identify strategies that can support MSMEs in adopting digital technology. The findings indicate that digital literacy, government support, and technological infrastructure development are key elements in maximizing the benefits of digital transformation. This study provides practical contributions for MSME actors and policymakers to create an ecosystem that supports the sustainability and competitiveness of MSMEs in the digital era.