Marketing and Artificial Intelligence: Great Opportunities, Reluctant Partners

Managerial decision making in marketing: The next research frontier

“…Since its inception in the 1950s, the field of AI has developed into a substantive discipline with a broad variety of approaches that can be used in decision making, especially for less-structured problems. The main applications of AI in marketing, thus far, are expert systems, neural nets, and case-based reasoning (Wierenga, 2010). Given artificial intelligence's emphasis on reasoning and judgment, two elements that are prevalent in marketing decision making, marketers should be aware of the potential of existing and new AI methodologies to solve weakly structured marketing problems.…”

Revolutionised Technologies for Marketing: Theoretical Review With Focus on Artificial Intelligence

“…Early principles and concepts have been formed to examine marketing-related concerns and issues for a long time. However, the main utilisation and implementation in marketing have arisen in the last decade (Wierenga, 2010). Recent researches on the implementation of AI in marketing shows that majority of marketers are interested in AI in their marketing activities, whereas 20% of them were interested in AI solutions in 2017 for business purposes (Bughin et al, 2017).…”

“…Practically, AI has been used to increase and upgrade the outdated methods of marketing (Hoanca & Forrest, 2015). From the management point of view, the most known software for decision making in marketing is the Marketing Management Support System (MMSS), which allows information and data analysis with the help of AI (Wierenga, 2010). In today's world, AI is an effective tool to support managers in various operations and tasks such as web development, digital marketing, social media monitoring, SEO, and email marketing (Kokina & Davenport, 2017).…”

“…Thus, current AI tools and future trends must be studied deeply to present a significant perspective for businesses. Although marketing has a significant role in business activities, and early adaptors of AI in marketing activities are taking advantage in value creation (Bughin et al, 2017), there is a lack of literature on this aspect where both disciplines AI and marketing are combined (Wierenga, 2010). According to Martínez-López and Casillas (2013), there is no sufficient publication for AI in marketing and marketing in AI Literature.…”

Greedy Algorithm Based Deep Learning Strategy for User Behavior Prediction and Decision Making Support

“…Various techniques involve tools of artificial intelligence in text/object/face/voice/path recognition [1]- [11], big data analysis and prediction [13] [14], healthcare and diagnosis [12], flight control [15], market analysis and data mining [16] [17] [18], signal processing [19], and so on [20] [21]. See also references therein.…”