Impact of Big Data Analytics on Digital Marketing: Academic Review

被引:0
作者
Islam, Md Aminul [1 ]
机构
[1] Independent Univ, Sch Business & Entrepreneurship, Dept Management Informat Syst, Dhaka, Bangladesh
关键词
Big-Data; Data-Analytics; Digital-Marketing; Factors; Literature-review; OF-THE-ART; COLONY OPTIMIZATION; INTERNET; CHALLENGES; KNOWLEDGE; ADOPTION; TECHNOLOGY; MANAGEMENT; FRAMEWORK; MULTIPLE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Strategic decisions require the use of analytics and big data technologies. Previous study has focused on big data applications, ethics, benefits, drawbacks, and analytical viewpoints, among other things. The goal of this study is to conduct a comprehensive literature assessment in these areas and to fill any research gaps on the impact of big data analytics on digital marketing approaches. We attempted to cover as many as 200 articles, news, publications, and other portals to investigate studies conducted from the past to the present. As a result, this study evaluated the current literature on big data applications and discovered that digital marketing is a vast sector in which big data has a considerable influence on the creation of digital advertising strategies and how advertising is influenced by big data. Using the greatest big data applications, according to past research, can assist selected organizations in overcoming severe limits during one of the world's most catastrophic pandemics. This outcome will benefit academics and industry in two ways: first, the experimental output will navigate the state of mind on the relationship between digital marketing, digital advertising, and big data analytics; second, the data-based result will improve the ability to think more creatively in the future with other industry affiliations.
引用
收藏
页码:786 / 820
页数:35
相关论文
共 50 条
[11]   Big Data, Marketing Analytics, and Firm Marketing Capabilities [J].
Cao, Guangming ;
Tian, Na ;
Blankson, Charles .
JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2022, 62 (03) :442-451
[12]   Big data analytics capabilities: a systematic literature review and research agenda [J].
Mikalef, Patrick ;
Pappas, Ilias O. ;
Krogstie, John ;
Giannakos, Michail .
INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 2018, 16 (03) :547-578
[13]   POTENTIAL OF BIG DATA FOR MARKETING: A LITERATURE REVIEW [J].
Rejeb, Abderahman ;
Rejeb, Karim ;
Keogh, John G. .
MANAGEMENT RESEARCH AND PRACTICE, 2020, 12 (03) :60-73
[14]   Analytics in the era of big data: The digital transformations and value creation in industrial marketing [J].
Wang, William Yu Chung ;
Wang, Yichuan .
INDUSTRIAL MARKETING MANAGEMENT, 2020, 86
[15]   Big data analytics enhanced healthcare systems: a review [J].
Shafqat, Sarah ;
Kishwer, Saira ;
Rasool, Raihan Ur ;
Qadir, Junaid ;
Amjad, Tehmina ;
Ahmad, Hafiz Farooq .
JOURNAL OF SUPERCOMPUTING, 2020, 76 (03) :1754-1799
[16]   Smart city big data analytics: An advanced review [J].
Soomro, Kamran ;
Bhutta, Muhammad Nasir Mumtaz ;
Khan, Zaheer ;
Tahir, Muhammad A. .
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019, 9 (05)
[17]   Explore Big Data Analytics Applications and Opportunities: A Review [J].
Al-Sai, Zaher Ali ;
Husin, Mohd Heikal ;
Syed-Mohamad, Sharifah Mashita ;
Abdin, Rasha Moh'd Sadeq ;
Damer, Nour ;
Abualigah, Laith ;
Gandomi, Amir H. H. .
BIG DATA AND COGNITIVE COMPUTING, 2022, 6 (04)
[18]   Concurrence of big data analytics and healthcare: A systematic review [J].
Mehta, Nishita ;
Pandit, Anil .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2018, 114 :57-65
[19]   The influence of quality of big data marketing analytics on marketing capabilities: the impact of perceived market performance! [J].
Haverila, Matti Juhani ;
Haverila, Kai Christian .
MARKETING INTELLIGENCE & PLANNING, 2024, 42 (02) :346-372
[20]   Big data analytics in the AEC industry: scientometric review and synthesis of research activities [J].
Ohene, Eric ;
Nani, Gabriel ;
Antwi-Afari, Maxwell Fordjour ;
Darko, Amos ;
Addai, Lydia Agyapomaa ;
Horvey, Edem .
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2024,