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Yi Li
School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

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Journal article
Published: 20 August 2020 in Sustainability
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Taking Chengdu as an example, based on the destination image theory and employing the content analysis methodology, this paper conducts data mining on the online comment texts of TikTok short food videos, and analyzes the impact of short food videos on the destination image (cognitive image, affective image and conative image). The results show that: (1) in terms of cognitive image, short food videos have increased potential tourists’ attention to the destination image, especially their attention to the flavor characteristics of food in the destination and the local social environment; (2) in terms of affective image, the comments of short food videos are mainly neutral and positive, and the contents about the flavor characteristics of food and the local social environment are more likely to affect the affective image of the destination; and (3) in terms of conative image, the appearance description of food in short food videos brings about an obvious effect of intention, and it also creates the demand to travel together and obtain information. This paper is inspiring for city managers and tourism marketers to use TikTok short videos to establish and disseminate food-based city brands and destination images.

ACS Style

Yi Li; Xiuxiu Xu; Bo Song; Hong He. Impact of Short Food Videos on the Tourist Destination Image—Take Chengdu as an Example. Sustainability 2020, 12, 6739 .

AMA Style

Yi Li, Xiuxiu Xu, Bo Song, Hong He. Impact of Short Food Videos on the Tourist Destination Image—Take Chengdu as an Example. Sustainability. 2020; 12 (17):6739.

Chicago/Turabian Style

Yi Li; Xiuxiu Xu; Bo Song; Hong He. 2020. "Impact of Short Food Videos on the Tourist Destination Image—Take Chengdu as an Example." Sustainability 12, no. 17: 6739.

Review
Published: 11 May 2020 in International Journal of Environmental Research and Public Health
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Video game live streaming is a kind of real-time video social media that integrates traditional broadcasting and online gaming. With the rapid popularity of video game live streaming in the past decade, researchers have started to investigate the relationship between the use of video game live streaming and various psychological variables. In order to fully understand the factors that affected user participation (streamers and audiences) in video game live streaming and provide a reference to the mental health issues of Internet addiction, this paper summarizes the relevant literature on user behavior in video game live streaming. First, we comprehensively searched literature in six social science databases and thus obtained 24 papers that meet our inclusion criteria. Second, the above literature was presented in table form for classification and we found that the effect factors of user behavior in video game live streaming mainly include user demands and platform impact. Based on Use and Satisfaction theory, this paper reviewed the following four aspects: streamer demand, audience demand, interaction behavior and platform impact, then a relevant theoretical framework was constructed. Finally, this paper looks forward to possible future research topics based on the research platform, research data and research content and so on, hoping to provide a foundation and new ideas for future research.

ACS Style

Yi Li; Chongli Wang; Jing Liu. A Systematic Review of Literature on User Behavior in Video Game Live Streaming. International Journal of Environmental Research and Public Health 2020, 17, 3328 .

AMA Style

Yi Li, Chongli Wang, Jing Liu. A Systematic Review of Literature on User Behavior in Video Game Live Streaming. International Journal of Environmental Research and Public Health. 2020; 17 (9):3328.

Chicago/Turabian Style

Yi Li; Chongli Wang; Jing Liu. 2020. "A Systematic Review of Literature on User Behavior in Video Game Live Streaming." International Journal of Environmental Research and Public Health 17, no. 9: 3328.

Journal article
Published: 24 January 2020 in Sustainability
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Social media donation is an emerging sustainable business model. Donation in the context of social media can often bring benefits to content creators and social media platforms, as well as realizing their sustainable development. Based on attachment theory, customer loyalty theory, and interaction ritual chains theory, this paper studies how feedback interaction and participatory interaction affect users’ continued intent to donate. The role of users’ emotion and price consciousness are mainly considered. Data were collected through questionnaires, and the sample covered 466 WeChat users. Structural equation modeling and linear regression were used to test the hypothesis. It was found that emotional attachment and emotional loyalty had significant positive effects on users’ continued intent to donate, and participatory interaction had significant positive effects on emotional attachment and emotional loyalty, while feedback interaction had a significant positive effect on emotional attachment. Price consciousness did not directly affect continued intent to donate, but as a moderator, it weakened the positive relationship between emotional attachment and continued intent to donate.

ACS Style

Yi Li; Liangru Yu. Factors Influencing Social Media Users’ Continued Intent to Donate. Sustainability 2020, 12, 879 .

AMA Style

Yi Li, Liangru Yu. Factors Influencing Social Media Users’ Continued Intent to Donate. Sustainability. 2020; 12 (3):879.

Chicago/Turabian Style

Yi Li; Liangru Yu. 2020. "Factors Influencing Social Media Users’ Continued Intent to Donate." Sustainability 12, no. 3: 879.

Conference paper
Published: 01 October 2019 in Journal of Physics: Conference Series
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Online searching data reflects consumers' real footprints in information collection and purchase decision-making processes, which is greatly valued in understanding their needs. This paper which is at the background of China's automobile market, studies the relationship between online searching data and automobile sales through approaches that differ from existing research to extract keywords. First the online searching data keywords are determined, primarily by using text-mining technology to extract them, and specifically: i) Jieba was used to tokenize crawled automotive forum posts' text into segmented words; ii) All word-segmented Chinese corpus were segmented into word vector space by Word2vec model; and iii) Similar keywords were discovered by calculating the word vector's similarity indexes. A fixed effect model was then built based on 108 months of long panel data. Finally, combing with panel vector autoregressive model (PVAR), we used rolling window to predict Chinese automobile sales from January to December 2015.The empirical results demonstrate that: a long equilibrium exists between online searching data and automobile sales; our regression model can explain 76% of the variance. The holdout analysis suggests that online searching data can be of substantial use in forecasting Chinese automobile sales.

ACS Style

Yi Li; Liangru Yu; Rui Wen. Predicting sales by online searching data keywords based on text mining: Evidence from the Chinese automobile market. Journal of Physics: Conference Series 2019, 1325, 012071 .

AMA Style

Yi Li, Liangru Yu, Rui Wen. Predicting sales by online searching data keywords based on text mining: Evidence from the Chinese automobile market. Journal of Physics: Conference Series. 2019; 1325 (1):012071.

Chicago/Turabian Style

Yi Li; Liangru Yu; Rui Wen. 2019. "Predicting sales by online searching data keywords based on text mining: Evidence from the Chinese automobile market." Journal of Physics: Conference Series 1325, no. 1: 012071.

Journal article
Published: 01 July 2019 in Sustainability
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This study investigated the complementary effect of three orientations of knowledge management (KM) strategy on firm performance: external and internal, explicit and tacit, and exploratory and exploitive. We propose a theoretical framework for examining the synergistic effects of KM strategy on firm performance, and the moderating effect of organizational structure. The complementary effect among these orientations of KM strategy was studied. To test our framework, we conducted a survey with a sample of 345 Chinese firms that had applied a KM strategy. The empirical results show that: (1) different KM strategy orientations complement each other, and this complementarity is an essential link in the relationship between KM strategy and firm performance; (2) the direct effect of each orientation of KM strategy on firm performance is not significant; (3) a centralized organizational structure moderates the relationship between KM strategy and firm performance, thus the more centralized is the organizational structure, the stronger is the positive impact of the complementary effect of KM strategy on firm performance; and (4) the moderating effect of formalized organizational structure in the relationship between KM strategy and firm performance is not significant.

ACS Style

Bo Song; Yi Li; Liangjie Zhao. Complementary Effect of Knowledge Management Strategy on Firm Performance: Evidence from Chinese Firms. Sustainability 2019, 11, 3616 .

AMA Style

Bo Song, Yi Li, Liangjie Zhao. Complementary Effect of Knowledge Management Strategy on Firm Performance: Evidence from Chinese Firms. Sustainability. 2019; 11 (13):3616.

Chicago/Turabian Style

Bo Song; Yi Li; Liangjie Zhao. 2019. "Complementary Effect of Knowledge Management Strategy on Firm Performance: Evidence from Chinese Firms." Sustainability 11, no. 13: 3616.