2022
DOI: 10.1002/mar.21699
|View full text |Cite
|
Sign up to set email alerts
|

Toward advancing theory on creativity in marketing and artificial intelligence

Abstract: Creativity has been identified as the future of marketing; at the same time, artificial intelligence (AI) is enabling more automation in this field. The theories and frameworks in the literature have not yet sufficiently explained the impact of AI on creativity in marketing. Hence, this research aims to advance theories on creativity in marketing and AI by conducting a comprehensive review of the literature. Our review covers 156 papers published between 1990 and 2021, compiled on the basis of the Scientific P… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
40
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 88 publications
(41 citation statements)
references
References 137 publications
(303 reference statements)
0
40
0
1
Order By: Relevance
“…Augmented reality is defined as a “medium in which digital information is overlaid on the physical world that is in both spatial and temporal registration with the physical world and that is interactive in time” (Craig, 2013; p. 20). From a marketing perspective, two of the main benefits of chatbots enabled by artificial intelligence are powerful personalization and the option to automate services offered to customers (Ameen et al, 2022; Chandra et al, 2022; Liu‐Thompkins et al, 2022; Mariani et al, 2022). Chatbots have been defined as “an e‐service agent that represents a technological evolution of the traditional service agent involved in direct firm–customer exchanges” (Murtarelli et al, 2020; p. 2).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Augmented reality is defined as a “medium in which digital information is overlaid on the physical world that is in both spatial and temporal registration with the physical world and that is interactive in time” (Craig, 2013; p. 20). From a marketing perspective, two of the main benefits of chatbots enabled by artificial intelligence are powerful personalization and the option to automate services offered to customers (Ameen et al, 2022; Chandra et al, 2022; Liu‐Thompkins et al, 2022; Mariani et al, 2022). Chatbots have been defined as “an e‐service agent that represents a technological evolution of the traditional service agent involved in direct firm–customer exchanges” (Murtarelli et al, 2020; p. 2).…”
Section: Literature Reviewmentioning
confidence: 99%
“…20). From a marketing perspective, two of the main benefits of chatbots enabled by artificial intelligence are powerful personalization and the option to automate services offered to customers (Ameen et al, 2022;Chandra et al, 2022;Liu-Thompkins et al, 2022;Mariani et al, 2022).…”
Section: Augmented Reality and Chatbots In The Customer Journeymentioning
confidence: 99%
“…Research shows that the influence of AI varies by industry, but given that the marketing field has the most to gain from AI (Vlačić et al, 2021) marketing needs to take a lead in addressing the adoption and development of AI (Davenport et al, 2020). The use of AI technology offers great opportunities for marketers, including increased revenues and reduced costs through successful marketing strategies and improved consumer relationships with brands (Ameen et al, 2022; Davenport et al, 2020; Solomon, 2019). The use of AI is also likely to affect service companies that invest heavily in relationship marketing since successful relationship marketing leads to positive financial outcomes (Bock et al, 2020).…”
Section: Ai In Marketingmentioning
confidence: 99%
“…After that he merged both analytic and intuitive AI, forming mainly three types of AI, which are mechanical, thinking, and feeling AI ( Huang and Rust, 2021a ), and was widely cited ( Huang and Rust, 2021b ; Pantano and Scarpi, 2022 ; Schepers et al, 2022 ). Some studies classify AI into three categories: narrow AI, general AI, and super AI ( Kaplan and Haenlein, 2019 ; Benbya et al, 2020 ; Ameen et al, 2022 ). Based on the different roles of algorithmic decision agents, OECD (2017) also proposed four types of roles for AI algorithms: Monitoring algorithms, Parallel algorithms, Signaling algorithms, and Self-learning algorithms.…”
Section: Theoretical Background and Hypothesis Developmentmentioning
confidence: 99%