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All Journal English and Literature Journal TAHKIM Al-Iqtishadiyah: Ekonomi Syariah dan Hukum Ekonomi Syariah Lingue : Jurnal Bahasa, Budaya, dan Sastra Jihbiz: Jurnal Ekonomi, Keuangan dan Perbankan Syariah Indonesia Auditing Research Journal Amal: Jurnal Ekonomi Syariah Mangente: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Ekonomi dan Manajemen Advantage: Journal of Management and Business IJEIRC IJBLPS Jurnal Intelek Dan Cendikiawan Nusantara Nomico Rangkiang: Journal of Islamic Economics and Business
Arizal Hamizar
Institut Agama Islam Negeri Ambon
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : IJEIRC

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THEORETICAL EXPLORATION OF DATA-DRIVEN DECISION-MAKING IN DIGITAL MARKETING Arizal Hamizar; Afdhal Yaman; Mohammad H Holle
International Journal of Economic Integration and Regional Competitiveness Vol. 1 No. 3 (2024): International Journal of Economic Integration and Regional Competitiveness
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v1i3.60

Abstract

In the rapidly evolving landscape of digital marketing, the utilization of data-driven decision-making strategies has become imperative for organizations to stay competitive. This study employs a theoretical exploration methodology to investigate the intricate dynamics of data-driven decision-making in digital marketing. Through a systematic review and analysis of existing theories, concepts, and frameworks, the research aims to construct a comprehensive understanding of the theoretical underpinnings guiding decision-making processes in the digital marketing domain. Key theoretical constructs and models relevant to data analysis techniques, consumer behavior, market trends, and marketing strategy formulation are critically evaluated to elucidate the conceptual foundations of data-driven decision-making. By synthesizing insights from multiple disciplines, including marketing, information technology, and decision sciences, the study develops an integrative theoretical framework that provides a nuanced understanding of the complexities inherent in contemporary digital marketing practices. The findings contribute to the advancement of theoretical knowledge in the field and offer valuable insights for both academia and industry practitioners seeking to leverage data-driven approaches in their marketing strategies.
Co-Authors Afdhal Yaman Aidia Umagapi Andi Masniati Asmi Ningsi Umasugi Baharuddin, Didin Fadli Fendi Malawat Fitria Karnudu H. Rajab Hasan Husin Wattimena Jacsy Tubalawony Jacsy Tubalawony Kamaruddin Kamaruddin Kamaruddin La Abdul Zayl Mohammad H. Holle Muammar W Maruapey Muammar W. Maruapey Muammar Wijayanto Maruapey Muhammad R Nacikit Nahria Latuconsina Santi Ode Siti Nur F. Hatapayo Sunari Syed Ismail Syed Mohamad Triadi Mulyanto