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Emerging Technologies and Marketing Innovation

Special Issue Editors


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Guest Editor
School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
Interests: marketing strategy; AI and digital marketing; innovation ecosystem

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Guest Editor
Business School, Beijing Information Science and Technology University, Beijing 100192, China
Interests: social media marketing; brand strategy; social network analysis and knowledge discovery

Special Issue Information

Dear Colleagues,

In the digital era, companies are facing more difficulties in holding competitive advantages; in particular, advanced technologies not only bring opportunities but also challenges in how to use them to ensure that marketing innovations attract more and more scholars’ attention. This Special Issue invites research that explores emerging technologies’ impacts on marketing innovations, e.g., AI chatbots for online marketing services, augmented reality (AR) and virtual reality (VR) for live streaming as well as marketing activities, and blockchain for marketing fraud prevention. It mainly covers the following topics:

(1) The new challenges of marketing innovations in the digital era, especially emerging technologies’ impact on marketing innovations.

(2) Advanced technologies changing methods of marketing, e.g., the application of AI eases market analysis and customers’ behavior analysis, as well as marketing activities. Therefore, it is crucial to explore the new characteristics and advanced tech’s impacts on marketing activities and performance.

(3) As we know, digital marketing innovation impacts sustainable consumption; how to develop and promote production/services through new technologies and methods should be investigated further. Therefore, it is valuable to study digital marketing innovation systems with new technologies/methods.

Prof. Dr. Hong Zhao
Prof. Dr. Zongshui Wang
Guest Editors

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Keywords

  • emerging technologies
  • marketing innovation
  • AI and marketing activities
  • blockchain and marketing fraud
  • digital innovation ecosystem
  • digital marketing

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Published Papers (1 paper)

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Research

30 pages, 1174 KiB  
Article
Risk Assessment of Live-Streaming Marketing Based on Hesitant Fuzzy Multi-Attribute Group Decision-Making Method
by Changlu Zhang, Yuchen Wang and Jian Zhang
J. Theor. Appl. Electron. Commer. Res. 2025, 20(2), 120; https://doi.org/10.3390/jtaer20020120 - 1 Jun 2025
Viewed by 301
Abstract
(1) Background: With the deep integration of e-commerce and video technology, live-streaming marketing has emerged globally and maintained rapid growth. However, most of the current research on live-streaming e-commerce marketing focuses on merchants’ sales strategies and consumers’ purchase intentions, and there is relatively [...] Read more.
(1) Background: With the deep integration of e-commerce and video technology, live-streaming marketing has emerged globally and maintained rapid growth. However, most of the current research on live-streaming e-commerce marketing focuses on merchants’ sales strategies and consumers’ purchase intentions, and there is relatively little research related to the risks of live-streaming e-commerce marketing. Nevertheless, with the development of live-streaming e-commerce marketing and its integration with technologies such as artificial intelligence and virtual reality (VR), live-streaming e-commerce marketing still faces challenges such as unclear subject responsibility, difficulty in verifying the authenticity of marketing information, and uneven product quality. It also harbors problems such as the ethical misbehavior of AI anchors and the excessive beautification of products by VR technology. (2) Methods: This study systematically analyzes the scenarios of live-streaming marketing to elucidate the mechanisms of risk formation. Utilizing fault tree analysis (FTA) and risk checklist methods, risks are identified based on the three core elements of live-streaming marketing: “people–products–scenes”. Subsequently, the Delphi method is employed to refine the initial risk indicator system, resulting in the construction of a comprehensive risk indicator system comprising three first-level indicators, six second-level indicators, and 16 third-level indicators. A hesitant fuzzy multi-attribute group decision-making method (HFMGDM) is then applied to calculate the weights of the risk indicators and comprehensively assess the live-streaming marketing risks in live broadcast rooms of three prominent celebrity anchors in China. Furthermore, a detailed analysis is conducted on the risks associated with the six secondary indicators. Based on the risk evaluation results, targeted recommendations are proposed. This study aims to enhance consumers’ awareness of risk prevention when conducting live-streaming transactions and pay attention to related risks, thereby safeguarding consumer rights and fostering the healthy and sustainable development of the live-streaming marketing industry. (3) Conclusions: The results show that the top five risk indicators in terms of weight ranking are: Ethical Risk of the AI Anchor (A4), VR Technology Promotion Risk (F3), Anchor Reputation (A1), Product Quality (D1), and Logistics Distribution Service Quality (D2). The comprehensive live-streaming marketing risk of each live broadcast room is Y > L > D. Based on the analysis results, targeted recommendations are provided for anchors, MCN institutions, merchants, supply chains, and live-streaming platforms to improve consumer satisfaction and promote sustainable development of the live-streaming marketing industry. Full article
(This article belongs to the Special Issue Emerging Technologies and Marketing Innovation)
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