Qingfei Min

Biographic Data

ID4081690
NAMEQingfei Min
GIVEN NAMESQingfei
FAMILY NAMEMin
SIGNATUREMIN Q
AFFILIATIONSDalian University of Technology
ORCID0000-0002-0572-7482
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS0
WORKS AS AUTHOR10
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0

  • From adoption to continued usage

    Hongying Zhao, Xiaobo Ke et al.ARTICLEInternet Research2026

    Purpose Grounded in the decision factors classification framework, this paper examines how decision object factors, decision entity factors, and context factors combine as configurations that explain user adoption and continued usage of AI therapists. Furthermore, comparing the configurations for initial adoption and continued usage reveals three mechanisms—habit, belief updating, and belief revision—that facilitate the transition from adoption t…

  • How social cues mitigate advertising intrusiveness on social media

    Open AccessHonghong Huo, Jiahui Mo et al.ARTICLEDecision Support Systems2026

  • How to initiate human-agent intervention for recovery when chatbots fail

    Open AccessZhenzhen Lu, Jiahui Mo et al.ARTICLEDecision Support Systems2026

  • Expert inputs on prompt completions

    Open AccessGerald Njuguna, Qingfei MinARTICLEAI & Society2026

  • Reducing social media advertising avoidance through social cues

    Honghong Huo, Qingfei Min et al.ARTICLEInternet Research2026References: 7

    Purpose Driven by advances in social technologies, various social cues–including friend approval, peer favorability and marketer endorsement–have been integrated into social media advertising (SMA) to counter the growing trend of user avoidance. However, the underlying mechanisms and boundary conditions through which these cues reduce SMA avoidance remain unclear. Drawing on construal level theory, this study investigates how social cues of varyi…

  • Mitigating AI-induced professional identity threat and fostering adoption in the workplace

    Open AccessLiah Shonhe, Qingfei MinARTICLEAI & Society2025

  • How would prompt completion editing impact user experience scores in academic research with large language models

    Open AccessGerald Nderitu Njuguna, Qingfei Min et al.ARTICLETechnology in Society2025References: 11

  • A Dual-Role Trust Model for Social Media Influencers

    Open AccessShang Chen, Xuefei Xu et al.ARTICLESocial Science Computer Review2024References: 12

    As companies come to appreciate social media’s economic advantages, it has transformed into a dichotomous social-commercial landscape. In this specific situation, followers evaluate social media influencers that play both the friend and marketer roles in the decision-making process. This study creates a dual-role trust model based on the role theory to investigate trust processes across different roles. More importantly, this study goes deeper in…

  • Social media advertising reactance model

    Open AccessHonghong Huo, Zhiyong Liu et al.ARTICLEInternet Research2021

    Purpose Research on social media advertising reactance (SMAR) is in the early stages. This paper intends to present a full picture of SMAR studies, introduce a comprehensive theoretical model (the social media advertising reactance model, SMARM) and provide insights into research and practice. Design/methodology/approach This review adopts the concept-driven systematic review approach, identifying 92 articles from four primary academic databases …

  • Combined Effect of Economic Variables on Fraud, a Survey of Developing Countries

    Open AccessMahdi Omidi, Qingfei Min et al.ARTICLEEconomics & Sociology2017References: 5

    Recently, many researchers have examined the factors affecting fraud and introduced the elements required for fraud to exist. In this paper, we define these variables in two broad groups of economic and noneconomic variables. We examine the combined effect of economic variables on fraud. We used 7 variables namely; fraud, the size of government, democracy, per capita income, inflation, the total value added of the industrial sector divided by GDP…