Tianmei Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Tianmei Wang has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- Jian Tang
Central University of Finance and Economics
3 shared publications Tuotuo Qi
School of Information, The Central University of Finance and Economics, Beijing, China
3 shared publications- Tuotuo Qi
Information School, Central University of Finance and Economics, Beijing, China
3 shared publications - Baowen Sun
China Center for Internet Economy Research, Central University of Finance and Economics, Beijing, China
2 shared publications Ruyu Bai
School of Information, Central University of Finance and Economics, Beijing, China
2 shared publicationsChao Dong
State Information Center, National Development and Reform Commission, Beijing, China
1 shared publication
Latest Publications
- Open Access
- 1 January 2025
- Published by HICSS Conference Office
Does AI-Generated Review Summarization Affect Consumer Purchasing Behavior?— An Empirical Study Based on the Amazon Platform
The product reviews on e-commerce platforms have become an important reference for consumers' purchase decisions. However, the sheer volume of reviews can lead to information overload, which may negatively affect consumer purchasing behavior. The AI-generated review summarization brings an opportunity to solve this dilemma. We collected 48,019 panel data of 3,781 products from the Amazon platform between February 2023 and February 2024, and employed a difference-in-differences model to investigate the impact mechanism of AI-generated review summarization on consumer purchasing behavior. The research found that AI-generated review summarization promotes consumer purchasing behavior. The number of product reviews has a U-shaped moderating effect, and the average product rating and rating dispersion both have positive moderating effects. Additionally, compared to experience products, search products amplify the impact of AI-generated review summarization on consumer purchasing behavior. The findings offer theoretical support for enhancing the design of AI-human interactions on e-commerce platforms.
- 1 January 2025
- Published by HICSS Conference Office
Open AccessDoes AI-Generated Review Summarization Affect Consumer Purchasing Behavior?— An Empirical Study Based on the Amazon Platform
The product reviews on e-commerce platforms have become an important reference for consumers' purchase decisions. However, the sheer volume of reviews can lead to information overload, which may negatively affect consumer purchasing behavior. The AI-generated review summarization brings an opportunity to solve this dilemma. We collected 48,019 panel data of 3,781 products from the Amazon platform between February 2023 and February 2024, and employed a difference-in-differences model to investigate the impact mechanism of AI-generated review summarization on consumer purchasing behavior. The research found that AI-generated review summarization promotes consumer purchasing behavior. The number of product reviews has a U-shaped moderating effect, and the average product rating and rating dispersion both have positive moderating effects. Additionally, compared to experience products, search products amplify the impact of AI-generated review summarization on consumer purchasing behavior. The findings offer theoretical support for enhancing the design of AI-human interactions on e-commerce platforms.
- 12 September 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (51) , 8519-8540
Impact of retail shareholders on corporate green transformation: a deep learning analysis
- 12 September 2024
- Published by Taylor & Francis in Applied Economics
- Vol. 57 (51) , 8519-8540
Impact of retail shareholders on corporate green transformation: a deep learning analysis
- 2 January 2024
- Published by Emerald Publishing in Internet Research
- Vol. 34 (5) , 1818-1844
Effect of the fit between situational regulatory focus and feedback focus on customers' co-design behavior
Purpose: Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and motivate their co-design behavior. Drawing on regulatory fit theory and construal level theory, the authors build a research model to study whether the fit between the regulatory focus of firms' task invitations (promotion focus vs prevention focus) and their feedback focus (self-focused vs other-focused) can enhance co-design behavior by improving customers' experiences (perceived meaning, active discovery and perceived empowerment).Design/methodology/approach: The authors conducted two online between-subjects experiments to validate the proposed research model.Findings: The two online experiments reveal that customers' experiences are enhanced when the feedback focus is congruent with the regulatory focus of the firm's task invitations. Specifically, self-focused feedback has a stronger positive effect on customers' experiences in the prevention focus context. Other-focused feedback has a stronger positive effect on customers' experiences in the promotion focus context. Moreover, customers' experience significantly and positively affects co-design behavior (i.e. co-design effort and knowledge contribution).Originality/value: This work provides theoretical and practical implications for firms to improve the effectiveness of information interaction with their customers and eventually ensure the sustainability of co-design.
- 2 January 2024
- Published by Emerald Publishing in Internet Research
- Vol. 34 (5) , 1818-1844
Effect of the fit between situational regulatory focus and feedback focus on customers' co-design behavior
Purpose: Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and motivate their co-design behavior. Drawing on regulatory fit theory and construal level theory, the authors build a research model to study whether the fit between the regulatory focus of firms' task invitations (promotion focus vs prevention focus) and their feedback focus (self-focused vs other-focused) can enhance co-design behavior by improving customers' experiences (perceived meaning, active discovery and perceived empowerment).Design/methodology/approach: The authors conducted two online between-subjects experiments to validate the proposed research model.Findings: The two online experiments reveal that customers' experiences are enhanced when the feedback focus is congruent with the regulatory focus of the firm's task invitations. Specifically, self-focused feedback has a stronger positive effect on customers' experiences in the prevention focus context. Other-focused feedback has a stronger positive effect on customers' experiences in the promotion focus context. Moreover, customers' experience significantly and positively affects co-design behavior (i.e. co-design effort and knowledge contribution).Originality/value: This work provides theoretical and practical implications for firms to improve the effectiveness of information interaction with their customers and eventually ensure the sustainability of co-design.
- 3 June 2023
- Published by Wiley in Managerial and Decision Economics
- Vol. 44 (7) , 3846-3866
Change in company leadership, subordinate executive team restructuring, and investment efficiency
Under the Chinese corporate governance model, the change of “leader” is one of the most significant occurrences for a company, and there is a strong relationship between “leaders”(chairman and CEO) and the executive team under them. Using data from listed A‐share businesses in China from 2007 to 2018, this study evaluates the effects of leaders' changes on investment efficiency and the effects of subordinate executive team restructuring caused by “leadership” change on investment efficiency. The findings reveal that the change of “leaders” significantly reduces company's investment efficiency, and the greater the degree of restructuring of subordinate executives caused by the change of “leaders”, the greater the negative impact on the company's investment efficiency. Nevertheless, the successor leader with a financial background can well mitigate the negative impact of the subordinate executive team restructuring on investment efficiency. In further analysis, we discover that the subordinate executive reorganization results in both overinvestment and underinvestment. However, state‐owned enterprises are more resilient to the damaging impacts of organizational shocks. Additionally, a good internal and external regulatory mechanism can mitigate the negative impact of the subordinate executive teams restructuring on investment efficiency. In conclusion, this study provides scientific support for improving executive team management and optimizing investment decisions for companies.
- 3 June 2023
- Published by Wiley in Managerial and Decision Economics
- Vol. 44 (7) , 3846-3866
Change in company leadership, subordinate executive team restructuring, and investment efficiency
Under the Chinese corporate governance model, the change of “leader” is one of the most significant occurrences for a company, and there is a strong relationship between “leaders”(chairman and CEO) and the executive team under them. Using data from listed A‐share businesses in China from 2007 to 2018, this study evaluates the effects of leaders' changes on investment efficiency and the effects of subordinate executive team restructuring caused by “leadership” change on investment efficiency. The findings reveal that the change of “leaders” significantly reduces company's investment efficiency, and the greater the degree of restructuring of subordinate executives caused by the change of “leaders”, the greater the negative impact on the company's investment efficiency. Nevertheless, the successor leader with a financial background can well mitigate the negative impact of the subordinate executive team restructuring on investment efficiency. In further analysis, we discover that the subordinate executive reorganization results in both overinvestment and underinvestment. However, state‐owned enterprises are more resilient to the damaging impacts of organizational shocks. Additionally, a good internal and external regulatory mechanism can mitigate the negative impact of the subordinate executive teams restructuring on investment efficiency. In conclusion, this study provides scientific support for improving executive team management and optimizing investment decisions for companies.
- 7 May 2023
- Published by Springer Nature
- p. 180-193
Role of Channel Characteristics of the New Retail Model on Brand Loyalty
- 7 May 2023
- Published by Springer Nature
- p. 180-193
Role of Channel Characteristics of the New Retail Model on Brand Loyalty
- Open Access
- 1 January 2023
- Published by HICSS Conference Office
Analyzing and Optimizing AED Placement Locations in Big Cites—A Geographical Information System Analysis
Out-of-Hospital Cardiac Arrest (OHCA) has been identified as a significant public health issue in China. Numerous studies have demonstrated that using automated external defibrillators (AEDs) can significantly improve the survival rate of OHCA patients, but their low utilization rate is partly due to the accessibility of AED deployment sites. This study collects the location information of AED devices in three representative cities in China: Beijing, Shanghai, and Shenzhen and then combines the kilometer population grid data (2021) with the AED geographic location data for visualization and data analysis through QGIS and Kepler.GL. Our model considers population distribution, subway, and road traffic factors and proposes a new method for AED index measurement. Through empirical analysis, we discovered that the existing AED distribution has an issue with unequal resource allocation. Thus, we have proposed specific suggestions on quantity and specific zones for AED deployment. Furthermore, this study proposes three specific suggestions for the problems currently in developing AEDs in China.
- 1 January 2023
- Published by HICSS Conference Office
Open AccessAnalyzing and Optimizing AED Placement Locations in Big Cites—A Geographical Information System Analysis
Out-of-Hospital Cardiac Arrest (OHCA) has been identified as a significant public health issue in China. Numerous studies have demonstrated that using automated external defibrillators (AEDs) can significantly improve the survival rate of OHCA patients, but their low utilization rate is partly due to the accessibility of AED deployment sites. This study collects the location information of AED devices in three representative cities in China: Beijing, Shanghai, and Shenzhen and then combines the kilometer population grid data (2021) with the AED geographic location data for visualization and data analysis through QGIS and Kepler.GL. Our model considers population distribution, subway, and road traffic factors and proposes a new method for AED index measurement. Through empirical analysis, we discovered that the existing AED distribution has an issue with unequal resource allocation. Thus, we have proposed specific suggestions on quantity and specific zones for AED deployment. Furthermore, this study proposes three specific suggestions for the problems currently in developing AEDs in China.
- 16 July 2021
- Published by Emerald Publishing in Internet Research
- Vol. 31 (6) , 2143-2166
The spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior
Purpose: Understanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.Design/methodology/approach: In 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.Findings: In the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.Originality/value: This study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.
- 16 July 2021
- Published by Emerald Publishing in Internet Research
- Vol. 31 (6) , 2143-2166
The spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior
Purpose: Understanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.Design/methodology/approach: In 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.Findings: In the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.Originality/value: This study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.
- 11 May 2021
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- Vol. 37 (20) , 1916-1930
Examining the Effects of Feedback-giving as a Gamification Mechanic in Crowd Rating Systems
Crowd rating derives a collective value based on massive homogeneous contributions from individual users, where using gamification design is a promising approach to encouraging users’ motivation and participation. Drawing upon self-determination theory and motivational affordances theory, this study investigates how different gamification objects, as building blocks for feedback-giving mechanics, affect users’ extrinsic and intrinsic motivation (i.e., compensation and enjoyment), which in turn affect their participation intention. We also examined the role of task complexity in moderating the gamified effects of feedback-giving mechanics. We conducted a four (gamification objects: leaderboards, progress, virtual characters, and plain) by two (task complexity: low and high) between-subject experiment with 402 subjects. The results suggested that feedback-giving as a critical gamification mechanic can motivate participants intrinsically or extrinsically. Specifically, leaderboards and progress positively influenced compensation, and leaderboards and virtual characters positively influenced enjoyment. Task complexity moderated the gamified effects of feedback-giving mechanics on compensation and enjoyment. With a higher task complexity, leaderboards even result in a higher level of enjoyment. This research contributes to the theoretical understanding of feedback-giving mechanics in crowd rating systems, and practically, suggests that the design of feedback-giving and task complexity should be effectively integrated to reach compensational and enjoyable motivation to encourage user engagement in crowd rating activities.
- 11 May 2021
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- Vol. 37 (20) , 1916-1930
Examining the Effects of Feedback-giving as a Gamification Mechanic in Crowd Rating Systems
Crowd rating derives a collective value based on massive homogeneous contributions from individual users, where using gamification design is a promising approach to encouraging users’ motivation and participation. Drawing upon self-determination theory and motivational affordances theory, this study investigates how different gamification objects, as building blocks for feedback-giving mechanics, affect users’ extrinsic and intrinsic motivation (i.e., compensation and enjoyment), which in turn affect their participation intention. We also examined the role of task complexity in moderating the gamified effects of feedback-giving mechanics. We conducted a four (gamification objects: leaderboards, progress, virtual characters, and plain) by two (task complexity: low and high) between-subject experiment with 402 subjects. The results suggested that feedback-giving as a critical gamification mechanic can motivate participants intrinsically or extrinsically. Specifically, leaderboards and progress positively influenced compensation, and leaderboards and virtual characters positively influenced enjoyment. Task complexity moderated the gamified effects of feedback-giving mechanics on compensation and enjoyment. With a higher task complexity, leaderboards even result in a higher level of enjoyment. This research contributes to the theoretical understanding of feedback-giving mechanics in crowd rating systems, and practically, suggests that the design of feedback-giving and task complexity should be effectively integrated to reach compensational and enjoyable motivation to encourage user engagement in crowd rating activities.
- Open Access
- 18 March 2021
- Published by Tsinghua University Press in International Journal of Crowd Science
- Vol. 5 (1) , 92-111
May problem-based learning get higher evaluation from student?
Purpose: The paper aims to explore the effect of problem-based learning (PBL) embedding degree and education level on individual perception, as well as the moderating effect of nationality. Design/methodology/approach: The paper first conceptualizes PBL embedding degree which means the extent of applying PBL. It takes an empirical study on an international MBA class in one of the first-class universities in China. An investigation is taken with the designed “PBL-based Cognitive Perception Scale” and an Ordered Probit Model is constructed. Findings: The findings of this study are as follows: PBL embedding degree has a significant effect on the cognitive perception of student, which varies in different dimensions; the educational level of international student positively affects the cognitive perception toward PBL; and nationality may moderate the relationship between the PBL embedding degree and individual perception. Originality/value: The paper replenishes the investigation and application of Bloom’s Taxonomy of Learning. By conceptualizing PBL embedding degree, the paper extends the research perspectives of PBL and proposes a subjective method on the evaluation of PBL. The paper also may provide a guidance for PBL curriculum design with sustainable development of education.
- 18 March 2021
- Published by Tsinghua University Press in International Journal of Crowd Science
- Vol. 5 (1) , 92-111
Open AccessMay problem-based learning get higher evaluation from student?
Purpose: The paper aims to explore the effect of problem-based learning (PBL) embedding degree and education level on individual perception, as well as the moderating effect of nationality. Design/methodology/approach: The paper first conceptualizes PBL embedding degree which means the extent of applying PBL. It takes an empirical study on an international MBA class in one of the first-class universities in China. An investigation is taken with the designed “PBL-based Cognitive Perception Scale” and an Ordered Probit Model is constructed. Findings: The findings of this study are as follows: PBL embedding degree has a significant effect on the cognitive perception of student, which varies in different dimensions; the educational level of international student positively affects the cognitive perception toward PBL; and nationality may moderate the relationship between the PBL embedding degree and individual perception. Originality/value: The paper replenishes the investigation and application of Bloom’s Taxonomy of Learning. By conceptualizing PBL embedding degree, the paper extends the research perspectives of PBL and proposes a subjective method on the evaluation of PBL. The paper also may provide a guidance for PBL curriculum design with sustainable development of education.
- Open Access
- 29 June 2020
- Published by Tsinghua University Press in International Journal of Crowd Science
- Vol. 4 (3) , 255-271
Analysis of sponsorship networks and cross-domain knowledge exchange: an empirical study on Zhihu
Purpose: This study aims to analyze the structural characteristics of knowledge exchange in Zhihu Lives to provide feasible suggestions for improving the creative enthusiasm of knowledge providers.Design/methodology/approach: This paper uses the domain classification of Zhihu Lives to construct a cross-domain knowledge exchange network.Findings: This research makes the following findings: the small-world effect exists in the sponsorship network and is conducive to enhancing the learning willingness of knowledge providers; significant sponsorships and strong learning willingness exist among knowledge providers; the knowledge exchange is obvious among the fields of education, reading and writing, business and lifestyle and the fields of music, film, games, art, the internet, science and technology, design, financial economy and occupation; and knowledge exchange is obvious among the internal fields of education, reading and writing, and business and life style, between the internal fields of music, film, and games and art and between the internal fields of the internet, science and technology, design, financial economy and occupation.Originality/value: This study can provide practical suggestions for the following development of the platform by analyzing the special phenomenon of knowledge exchange in the present stage of knowledge exchange.
- 29 June 2020
- Published by Tsinghua University Press in International Journal of Crowd Science
- Vol. 4 (3) , 255-271
Open AccessAnalysis of sponsorship networks and cross-domain knowledge exchange: an empirical study on Zhihu
Purpose: This study aims to analyze the structural characteristics of knowledge exchange in Zhihu Lives to provide feasible suggestions for improving the creative enthusiasm of knowledge providers.Design/methodology/approach: This paper uses the domain classification of Zhihu Lives to construct a cross-domain knowledge exchange network.Findings: This research makes the following findings: the small-world effect exists in the sponsorship network and is conducive to enhancing the learning willingness of knowledge providers; significant sponsorships and strong learning willingness exist among knowledge providers; the knowledge exchange is obvious among the fields of education, reading and writing, business and lifestyle and the fields of music, film, games, art, the internet, science and technology, design, financial economy and occupation; and knowledge exchange is obvious among the internal fields of education, reading and writing, and business and life style, between the internal fields of music, film, and games and art and between the internal fields of the internet, science and technology, design, financial economy and occupation.Originality/value: This study can provide practical suggestions for the following development of the platform by analyzing the special phenomenon of knowledge exchange in the present stage of knowledge exchange.