SSCI《Industrial Marketing Management》征稿: 人工智能服务补救吸引产业客户
2025年04月02日
截止日期:2026/03/01 23:59
征稿期刊
Industrial Marketing Management
期刊级别
SSCI (JCR 2023)
IF 7.8
Q1 (BUSINESS 27/302)
Q1 (MANAGEMENT 28/401)
征稿主题
Engaging Industrial Customers with AI-Enabled Service Recovery
细分领域
What is the differential impact of AI-enabled (vs. human) service recovery on industrial customers’ engagement?
How does adopting a hybrid (AI- and human-based) service recovery journey impact customer engagement?
How do different AI tools (e.g., chatbots) affect cognitive, emotional, and behavioral engagement outcomes in industrial service recovery journeys?
What key factors may facilitate (vs. inhibit) the effect of AI-enabled service recovery on industrial customers’ positive engagement with the recovery effort, the brand, the firm, and/or other stakeholders of the firm while minimizing their negative engagement?
How may reactive (vs. proactive) AI-enabled service recovery impact industrial customers' and other stakeholders' engagement with the recovery effort, the brand, and the firm?
How does the reliance on AI-enabled service recovery impact industrial employees' engagement, skill development, motivation, and retention?
How can predictive analytics in AI-enabled service platforms mitigate potential service failures before they occur or optimize customers' engagement with industrial firms' proactive (vs. reactive) service recovery efforts?
How do specific AI applications (e.g., machine learning, deep learning, NLP; predictive vs. generative AI; mechanical, thinking, or feeling AI; Huang & Rust, 2021) impact B2B service recovery journeys?
What AI features (e.g., speed, accuracy, tone of voice, or response personalization) drive the effectiveness of AI-enabled service recovery journeys in addressing industrial service failures?
What metrics should industrial firms use to assess the performance of AI-enabled service recovery tactics and tools (e.g., to measure the return on their investment in AI-enabled service recovery)?
How do industrial firms ensure AI's ethical and sustainable use in service recovery while maintaining or enhancing their customers' engagement?
What mechanisms and strategies can be implemented to ensure transparency and accountability of AI-enabled service recovery in industrial firms, and how might these affect customer engagement?
重要时间
Submission Deadline: 1 March 2026
推荐内容
- 《复旦学报(社会科学版)》投稿信息
- 关于组织申报2024年度兰州市哲学社会科学规划项目的通知
- SSCI《International Review of Financial Analysis》征稿: 绿色银行、金融与保险
- 中国旅游研究院(文化和旅游部数据中心)2025年文化和旅游优秀研究成果遴选公告
- 湖南省教育厅开展第三届湖南省基础教育教学改革研究项目申报工作的通知
- 甘肃省教育科学“十四五”规划2022年度学校思想政治工作专项课题申报通知
- 人民教育出版社“十四五”规划2024年度重大、重点课题申报公告
- 重庆大学"神仙美女老师"火了 网友:上她课不走神
- 山东女子学院文化传播学院博士招聘公告
- “社会治理与软法”2019年学术年会暨“教育治理法治化”学术研讨会
