Skip to content
Review Open access

To Use or Not: Differentiating Artificial Intelligence Content for Different Industries

Oct 2026 · Spectra Undergraduate Research Journal · Vol 5 · 0 citations

TL;DR

Examining how consumers respond to AI implementation across industries that vary in perceived creativity finds that AI implementation negatively affects consumers’ willingness to purchase, regardless of the perceived creativity level of the industry.

Abstract

Artificial Intelligence continues to develop; its integration has rapidly progressed into numerous business industries, impacting business operations regardless of context. This study examines how consumers respond to AI implementation across industries that vary in perceived creativity. Using a survey and a 2 by 2 between- subjects experimental design, this research finds that AI implementation negatively affects consumers’ willingness to purchase, regardless of the perceived creativity level of the industry. Additionally, drawing on research linking gender to differential perceptions of technology, this research shows that the negative effect of AI implementation is stronger for women than for men. Based on the findings, practical implications are offered while limitations are also discussed.

Read PDF

Similar papers

Open access Sep 2026

Implementing Artificial Intelligence to Optimize Content Marketing

This study systematizes marketing objectives, provides examples of content creation using AI, and identifies differences in user engagement across various industries when publishing original and AI-generated content.

L. Dashkov, A. Nabieva, B. Karimov · 0 citations
Conference Open access Sep 2026

Artificial Intelligence in Different Industries

Artificial intelligence is quickly becoming one of the most powerful technologies of our generation. But how is AI changing productivity, and will it cause a jobless future? In this study, we analyze how artificial intelligence technology currently in development impacts 5 categories: technology, finance, economics, ed...

Arda Baki, Esad Celebi, Ihsan Civelek et al. · 0 citations
Review Open access Aug 2026

Artificial Intelligence and Its Influences on Enterprise Employees

With the rapid advancement of artificial intelligence (AI), particularly generative artificial intelligence (Generative AI), its application in enterprises has become increasingly widespread, exerting significant influences on employees’ work efficiency and psychological well-being. This study adopts a systematic liter...

Zu-Hao Yu · 0 citations
Open access Sep 2026

The Implications of Artificial Intelligence Applications in Supporting Contemporary Marketing Activities

This research paper aims to shed light on the relationship between artificial intelligence (AI) and big data in the field of marketing, as two fundamental pillars of digital transformation. The study illustrates how AI relies on big data to enhance its analytical and predictive capabilities, thereby contributing to imp...

Hadjeri Hamza, Lattoui Djeloul, Missoumi Djilali · 0 citations
Open access Oct 2026

REIMAGINING MARKETING THROUGH ARTIFICIAL INTELLIGENCE: CASE STUDIES AND MANAGERIAL INSIGHTS

This document explores the transformative role of Artificial Intelligence (AI) in marketing, emphasizing its widespread adoption across businesses of all sizes and the complexities involved in its implementation, such as data privacy concerns and algorithmic bias. The research methodology involves a detailed analysis o...

Shruti Shukla, G. Japee · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.