2026年“人工智能产品与服务创新论坛”通知（第二轮）

人工智能产品与服务创新论坛

（2026年）

论坛主题：人工智能营销与人类福祉

论坛日期：2026年8月22日-8月23日

主办单位：辽宁大学商学院  

东北大学工商管理学院

联合主办单位：沈阳工业大学管理学院

支持期刊：Asia Pacific Journal of Marketing and Logistics (SSCI，Q1，2025年年会投稿论文最终发表4篇)

论坛主席

主要嘉宾（按确认时间排序）

论坛投稿邮箱：paper10094@163.com

（可投摘要，请注明是否投稿APJML专刊）

会议日程：

此次论坛拟于2026年8月22日—23日分别进行参会嘉宾的报到与学术分享等相关事宜。本次论坛免会务费、住宿交通等自理。以下为本论坛的简要日程：

征文期刊

Asia Pacific Journal of Marketing and Logistics（SSCI, ABDC A, Q2, Impact Factor: 5.1）

专刊主题

Artificial Intelligence Marketing and Human Well-being

截止日期

Forum Paper Submission Deadline:2026.07.31

Full Paper Submission Deadline: 2026.10.31

论坛日期

Forum Date: 2026.08.22

School of Business Administration, Northeastern University, China. 

E-mail: hzhang@mail.neu.edu.cn

Business School, Liaoning University, China. 

E-mail: shaofeng.yuan@lnu.edu.cn

School of Business Administration, Northeastern University, China. 

E-mail: sunyang@mail.neu.edu.cn

Over the past decade, artificial intelligence (AI) has become a general-purpose technology for marketing, enabling hyper-personalization, dynamic pricing, customer journey optimization, and, increasingly, the creation of generative content at scale (Huang and Rust, 2021; Puntoni et al., 2021; Hermann and Puntoni,2025). For example, sophisticated analytics and machine learning enable firms to infer preferences, forecast demand, and continuously test interventions with unprecedented granularity (Hermann and Puntoni 2024). Generative AI presents new opportunities for expanding human creativity, resulting in novel patterns of behavior and consumption (Park, 2024). Thus, AI is transforming every dimension of human life, from how we work and connect to how we find purpose, meaning, and happiness. Yet, amid this technological acceleration, the question remains: Is AI marketing enhancing or eroding human well-being?

The use of revolutionary technologies is a double-edged sword, capable of both improving and harming well-being. AI has shown potential to boost human welfare in many ways, such as providing personalized services (Zhang et al., 2024), fulfilling social needs (Marriott and Pitardi, 2024), and reducing loneliness (De Freitas et al., 2025). At the same time, AI use also raises concerns like privacy issues (Kim et al., 2023), individual alienation (Puntoni et al., 2021), perceived uncertainty (Hong, 2025), and neglect of personal uniqueness (Mou et al., 2023), which can negatively impact human well-being (Barari et al., 2024). Beyond personal effects, AI marketing can influence social well-being by raising ethical challenges in markets, spreading deceptive content, generating negative biases, affecting perceptions of fairness, and limiting inclusion—thereby impacting the legitimacy of marketing institutions (Hermann, 2022). In summary, while AI-driven marketing offers many benefits to stakeholders by improving their well-being, its ongoing development and integration into daily life have also resulted in widespread negative effects, from individual well-being to broader social welfare.

Given rapid commercial deployment and changing regulatory expectations for trustworthy, transparent, and fair AI, this special issue therefore aims to provide testable mechanisms, validated tools, and proven interventions—enhancing understanding of how AI marketing impacts human well-being while offering practical guidance for practitioners and policymakers.

• Impact of AI in Marketing on Consumer Well-Being

• Empowering Small and Medium-Sized Businesses with AI Marketing Tools

• AI Marketing and Consumer Perceptions of Fairness

• Generative AI and Its Role in Building Consumer Trust

• AI-Driven Consumer Insights and Privacy Limits

• Personalized AI Marketing and Consumer Decision-Making

• User Experience of AI Interactive Tools in Retail Scenarios

• Algorithmic Bias and Consumer Discrimination in AI Marketing

• AI-Based Social Responsibility Marketing (AI-SR Marketing) and Consumer Well-Being Identification

• Cultural Adaptation and Consumer Well-being in Cross-Border AI Marketing

• The Future of AI Marketing Ecosystem and Long-Term Consumer Well-Being

• The Impact of AI Marketing on the Well-being of Vulnerable Consumer Groups

Asia Pacific Journal of Marketing and Logistics (SSCI, ABDC A, Q2, Impact Factor: 5.1) will publish a special section titled “Artificial Intelligence Marketing and Human Wellbeing,” featuring selected papers presented at the 2026 Artificial Intelligence Product and Service Innovation Forum in Shenyang. Following the 2025 APSI Forum, four best papers were ultimately selected and accepted for publication.

The forum will select up to 8-10 best papers and invite the authors to submit these papers to APJML. The review process for all submissions will be managed by the Guest Editors in accordance with the journal’s review process. The Guest Editors will make recommendations on the outcome of each paper. Details of the process will be provided in the invitation letter. Papers should be submitted via the APJML’s Editorial Manager online platform.

Submissions to APJML should be 8000 words in length, including references. Authors are encouraged to use online appendices for supplementary material that is useful but not central to the paper. Detailed submission guidelines for APJML and other relevant information can be found here: Asia Pacific Journal of Marketing and Logistics | Emerald Publishing (emeraldgrouppublishing.com)

Barari, M., Casper Ferm, L.E., Quach, S., Thaichon, P. and Ngo, L. (2024), “The dark side of artificial intelligence in marketing: meta-analytics review”, Marketing Intelligence & Planning, Vol. 42 No. 7, pp. 1234-1256.

De Freitas, J., Oğuz-Uğuralp, Z., Uğuralp, A.K. and Puntoni, S. (2025), “AI companions reduce loneliness”, Journal of Consumer Research, https://doi.org/10.1093/jcr/ucaf040

Hermann, E. (2022), “Leveraging artificial intelligence in marketing for social good—an ethical perspective”, Journal of Business Ethics, Vol. 179 No. 1, pp. 43-61.

Hermann, E. and Puntoni, S. (2024), “Artificial intelligence and consumer behavior: from predictive to generative AI”, Journal of Business Research, Vol. 180, Article 114720.

Hermann, E. and Puntoni, S. (2025), “Empowering GenAI stakeholders”, Journal of the Academy of Marketing Science, pp. 1-7.

Hong, S.J. (2025), “What drives AI-based risk information-seeking intent? insufficiency of risk information versus (un)certainty of AI chatbots”, Computers in Human Behavior, Vol. 162, Article 108460.

Huang, M.H. and Rust, R.T. (2021), “A strategic framework for artificial intelligence in marketing”, Journal of the Academy of Marketing Science, Vol. 49 No. 1, pp. 30-50.

Kim, W., Ryoo, Y., Lee, S. and Lee, J.A. (2023), “Chatbot advertising as a double-edged sword: the roles of regulatory focus and privacy concerns”, Journal of Advertising, Vol. 52 No. 4, pp. 504-522.

Marriott, H.R. and Pitardi, V. (2024), “One is the loneliest number… two can be as bad as one: the influence of AI friendship apps on users’ well-being and addiction”, Psychology & Marketing, Vol. 41 No. 1, pp. 86-101.

Mou, Y., Xu, T. and Hu,Y.(2023), “Uniqueness neglect on consumer resistance to AI”, Marketing Intelligence & Planning, Vol. 41 No. 6, pp. 669-689.

Park, H.E. (2024), “The double-edged sword of generative artificial intelligence in digitalization: an affordances and constraints perspective”, Psychology & Marketing, Vol. 41 No. 11, pp. 2924-2941.

Puntoni, S., Walker Reczek, R., Giesler, M. and Botti, S. (2021), “Consumers and artificial intelligence: an experiential perspective”, Journal of Marketing, Vol. 85 No. 1, pp. 131-151.

Zhang, Y., Tan, W. and Lee, E.J. (2024), “Consumers’ responses to personalized service from medical artificial intelligence and human doctors”, Psychology & Marketing, Vol. 41 No. 1, pp. 118-133.