Dingyao Yu
Biographic Data
| ID | 8404232 |
|---|---|
| NAME | Dingyao Yu |
| GIVEN NAMES | Dingyao |
| FAMILY NAME | Yu |
| SIGNATURE | YU D |
| AFFILIATIONS | Harbin University of Commerce |
| ORCID | 0000-0002-7013-3576 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Investigating the impact of decent work perception on employee voice behavior
The purpose of this study is to explore how five specific sub-items of employees’ perception of decent work affect their voice behaviors, particularly prohibitive voice behaviors. This research aims to delve deeper into this niche area and investigate the boundary conditions of this relationship from the perspective of CEOs. 203,197 valid employee reviews were gathered from Glassdoor using text mining and sentiment analysis techniques. To test th…
Discovering the Dark Side of AI and Algorithmic HRM
As employees are important stakeholders within the organization, it is crucial for enterprises to value employee voice behavior (VB). However, with the rise of algorithm management, whether and how this AI-driven paradigm impacts this important VB remains poorly understood. This study aims to uncover the dark side of algorithmic management by investigating the inhibiting effect of employees’ negative algorithmic experiences on their VB and its un…
Under the context of competition between platform sales and live streaming sales, who has the pricing power of products
The rapid rise of live-streaming selling and the increasing diversity of e-commerce channels have sparked ongoing debates regarding product pricing power. This price competition behaviour of online dual channels triggered by the supply-side pricing dilemma is a topic of significant research interest and forms the focal point of this paper. Therefore, we leverage the principles of game theory to construct a three-party evolutionary game model cons…
Assist me or replace me? Uncovering the influence of AI awareness on employees’ counterproductive work behaviors
Objective: Drawing on the conservation of resources theory (COR), the research aims to reveal the influence of artificial intelligence (AI) awareness on employees' mental health and behaviors, particularly examining whether and how employees' AI awareness impacts their counterproductive work behaviors (CWB) in human-intelligence collaborations. Methods: Data was collected from 327 Chinese employees who collaborated with AI in sales, manufacturing…
Uncovering effects of virtual endorser’s attractiveness on consumer behaviors from the perspective of national culture
In the context of social media, more and more enterprises take virtual endorsers for brand marketing. Investigating people’s preferences and concerns about virtual endorsers’ characteristics and seeking to understand users’ feedback on the effectiveness of endorsement with the help of reviews are important for companies to expand their digital marketing strategies. We use the machine learning approach, conduct text mining and regression analysis …
Do photos matter? the effect of hosts’ facial features on customers’ booking intentions in peer-to-peer accommodation
This study aims to investigate the effect of hosts’ facial features of different genders on customers’ booking intentions on the Airbnb shared accommodation platform. A comprehensive model was built to analyze hosts’ facial features in the United States (n = 105,084) through big data combined with an artificial intelligence facial recognition system. Results show that beauty, smile, aging, and wearing glasses positively affect customers’ booking …
Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation
The rapid rise of multimodal AI anthropomorphic interaction assistants has subverted the traditional human-computer interaction. Based on social cognitive theory, our study aims to validate the effectiveness of the strategy to improve users' intelligent service experience and service outcomes by evoking a high level of automated social presence through revealing the effects of both warmth perception and competence perception from multimodal AI an…
No prominent works on this page.
Under the context of competition between platform sales and live streaming sales, who has the pricing power of products
The rapid rise of live-streaming selling and the increasing diversity of e-commerce channels have sparked ongoing debates regarding product pricing power. This price competition behaviour of online dual channels triggered by the supply-side pricing dilemma is a topic of significant research interest and forms the focal point of this paper. Therefore, we leverage the principles of game theory to construct a three-party evolutionary game model cons…
Assist me or replace me? Uncovering the influence of AI awareness on employees’ counterproductive work behaviors
Objective: Drawing on the conservation of resources theory (COR), the research aims to reveal the influence of artificial intelligence (AI) awareness on employees' mental health and behaviors, particularly examining whether and how employees' AI awareness impacts their counterproductive work behaviors (CWB) in human-intelligence collaborations. Methods: Data was collected from 327 Chinese employees who collaborated with AI in sales, manufacturing…
Uncovering effects of virtual endorser’s attractiveness on consumer behaviors from the perspective of national culture
In the context of social media, more and more enterprises take virtual endorsers for brand marketing. Investigating people’s preferences and concerns about virtual endorsers’ characteristics and seeking to understand users’ feedback on the effectiveness of endorsement with the help of reviews are important for companies to expand their digital marketing strategies. We use the machine learning approach, conduct text mining and regression analysis …
Do photos matter? the effect of hosts’ facial features on customers’ booking intentions in peer-to-peer accommodation
This study aims to investigate the effect of hosts’ facial features of different genders on customers’ booking intentions on the Airbnb shared accommodation platform. A comprehensive model was built to analyze hosts’ facial features in the United States (n = 105,084) through big data combined with an artificial intelligence facial recognition system. Results show that beauty, smile, aging, and wearing glasses positively affect customers’ booking …
Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation
The rapid rise of multimodal AI anthropomorphic interaction assistants has subverted the traditional human-computer interaction. Based on social cognitive theory, our study aims to validate the effectiveness of the strategy to improve users' intelligent service experience and service outcomes by evoking a high level of automated social presence through revealing the effects of both warmth perception and competence perception from multimodal AI an…
Investigating the impact of decent work perception on employee voice behavior
The purpose of this study is to explore how five specific sub-items of employees’ perception of decent work affect their voice behaviors, particularly prohibitive voice behaviors. This research aims to delve deeper into this niche area and investigate the boundary conditions of this relationship from the perspective of CEOs. 203,197 valid employee reviews were gathered from Glassdoor using text mining and sentiment analysis techniques. To test th…
Discovering the Dark Side of AI and Algorithmic HRM
As employees are important stakeholders within the organization, it is crucial for enterprises to value employee voice behavior (VB). However, with the rise of algorithm management, whether and how this AI-driven paradigm impacts this important VB remains poorly understood. This study aims to uncover the dark side of algorithmic management by investigating the inhibiting effect of employees’ negative algorithmic experiences on their VB and its un…
Psychology (4 works) · Social Psychology (4 works) · Computer Science (3 works) · Advertising (2 works) · AI in Service Interactions (2 works) · Business (2 works) · Digital Economy and Work Transformation (2 works) · Digital Marketing and Social Media (2 works) · Ethics and Social Impacts of AI (2 works) · Accommodation (1 work)