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Chengcheng Liao

Biographic Data

ID9506977
NAMEChengcheng Liao
GIVEN NAMESChengcheng
FAMILY NAMELiao
SIGNATURELIAO C
AFFILIATIONSSichuan University
ORCID0000-0002-0016-0931
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Benefit Appeals in Livestreaming E-Commerce

    Teli Xian, Zheng Fang et al.•ARTICLE•Journal of Advertising Research•2026

    Benefit appeals represent a commonly used advertising tactic for improving customer response, yet their effectiveness in multimedia livestreaming e-commerce remains unverified. To address this issue, we develop a multi-study framework to investigate the effectiveness of benefit appeals with livestreaming video data and corresponding TikTok sales data. In Study 1, we examine the correlational relationships between benefit appeals and sales with tw…

  • When and How Artificial Intelligence Augments Employee Creativity

    Ning Jia, Nan Jia et al.•ARTICLE•Academy of Management Journal•2024

    Can artificial intelligence (AI) assist human employees in increasing employee creativity? Drawing on research on AI–human collaboration, job design, and employee creativity, we examine AI assistance in the form of a sequential division of labor within organizations: in a task, AI handles the initial portion, which is well-codified and repetitive, and employees focus on the subsequent portion, involving higher-level problem-solving. First, we pro…

  • How effective is AI augmentation in human–AI collaboration? Evidence from a field experiment

    Open Access•Chengcheng Liao, Xin Wen et al.•ARTICLE•Information Technology and People•2024

    Purpose Companies increasingly leverage artificial intelligence (AI) to enhance human performance, particularly in e-commerce. However, the effectiveness of AI augmentation remains controversial. This study investigates whether, how and why AI enhances human agents’ sales through a randomized field experiment. Design/methodology/approach This study conducts a two-by-two factorial randomized field experiment ( N = 1,090) to investigate the effects…

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  • When and How Artificial Intelligence Augments Employee Creativity

    Ning Jia, Nan Jia et al.•ARTICLE•Academy of Management Journal•2024

    Can artificial intelligence (AI) assist human employees in increasing employee creativity? Drawing on research on AI–human collaboration, job design, and employee creativity, we examine AI assistance in the form of a sequential division of labor within organizations: in a task, AI handles the initial portion, which is well-codified and repetitive, and employees focus on the subsequent portion, involving higher-level problem-solving. First, we pro…

  • How effective is AI augmentation in human–AI collaboration? Evidence from a field experiment

    Open Access•Chengcheng Liao, Xin Wen et al.•ARTICLE•Information Technology and People•2024

    Purpose Companies increasingly leverage artificial intelligence (AI) to enhance human performance, particularly in e-commerce. However, the effectiveness of AI augmentation remains controversial. This study investigates whether, how and why AI enhances human agents’ sales through a randomized field experiment. Design/methodology/approach This study conducts a two-by-two factorial randomized field experiment ( N = 1,090) to investigate the effects…

  • Benefit Appeals in Livestreaming E-Commerce

    Teli Xian, Zheng Fang et al.•ARTICLE•Journal of Advertising Research•2026

    Benefit appeals represent a commonly used advertising tactic for improving customer response, yet their effectiveness in multimedia livestreaming e-commerce remains unverified. To address this issue, we develop a multi-study framework to investigate the effectiveness of benefit appeals with livestreaming video data and corresponding TikTok sales data. In Study 1, we examine the correlational relationships between benefit appeals and sales with tw…

Computer Science (2 works) · Psychology (2 works) · AI in Service Interactions (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Beauty (1 work) · Business (1 work) · Consumer Behavior in Brand Consumption and Identification (1 work) · Consumer Retail Behavior Studies (1 work)

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