Search results

This study aims to construct a sentiment series generation method for danmu comments based on deep learning, and explore the features of sentiment series after clustering.

This study consisted of two main parts: danmu comment sentiment series generation and clustering. In the first part, the authors proposed a sentiment classification model based on BERT fine-tuning to quantify danmu comment sentiment polarity. To smooth the sentiment series, they used methods, such as comprehensive weights. In the second part, the shaped-based distance (SBD)-K-shape method was used to cluster the actual collected data.

The filtered sentiment series or curves of the microfilms on the Bilibili website could be divided into four major categories. There is an apparently stable time interval for the first three types of sentiment curves, while the fourth type of sentiment curve shows a clear trend of fluctuation in general. In addition, it was found that “disputed points” or “highlights” are likely to appear at the beginning and the climax of films, resulting in significant changes in the sentiment curves. The clustering results show a significant difference in user participation, with the second type prevailing over others.

Their sentiment classification model based on BERT fine-tuning outperformed the traditional sentiment lexicon method, which provides a reference for using deep learning as well as transfer learning for danmu comment sentiment analysis. The BERT fine-tuning–SBD-K-shape algorithm can weaken the effect of non-regular noise and temporal phase shift of danmu text.

In the ongoing Industry 4.0 era, the internet of things (IoT) has become a global race in the current information technology climate. However, little is understood about the pattern of the global competitive arena or its players’ set up strategy. This paper aims to attempt to compare the cross-country development of the IoT industry. In particular, from the lens of industrial policies, this paper highlights how China, as a latecomer, gains momentum to emerge victorious as a leader in this global race.

Based on five dimensions, namely, foundation, trajectory, characteristic, application and social impacts, this paper presents the evolution of the IoT industry in the USA, European Union, Japan, South Korea and China. From the lens of windows of opportunities, this paper analyzes how China seized the opportunity with the emerging technology, thereby, enabling it to create a competitive advantage.

This paper finds that China’s IoT industry takes a distinct trajectory, where scientific institutions, enterprises and governmental policies collaborate in unison, during which the first phase was when scientific research institutions introduced the conceptual new technology from developed countries. This technological foresight allowed for the identification and realization of critical technologies, strategic fields and technological trends. The second phase was the continuous dissatisfaction of capabilities of critical technologies, which creates disruptions that significantly altered the environment of technological competition.

This paper provides a comprehensive and comparative review of IoT industries in a global context, with the critical and influential role of the windows of opportunities on those enterprises lagging behind the technological wave.

The purpose of this paper is to explore the effect of cuteness and cool on the perceived quality of digital products, the mediating effect of brand perception (warmth and competence) and the moderating effect of the individual perception level.

This paper utilizes experimental design and survey methods to collect data and the ANOVA, independent sample t-test and bootstrap analysis methods to verify the assumed hypotheses.

Studies 1 and 2 demonstrate that cuteness (vs cool) is more likely to promote the perception of brand warmth (vs competence), and the brand perception plays a mediating role between cuteness (cool) and the perceived quality. Study 3 replicates the findings of Study 2 and indicates that people with high-cuteness (vs low-cuteness) perception are the same to perceive the brand warmth to promote the perceived quality of digital products, but people with high-cool (vs low-cool) perception are more likely to perceive the brand competence to promote the perceived quality of digital products.

Based on the conclusions in this paper, marketers could emphasize the cool information of digital products in advertisements to promote the perceived quality to promote younger consumers' willingness to pay (WTP). Furthermore, firms could shape warm brand images by the perception of cuteness because cuteness is positively associated with the warmth of brand perception (e.g. the logo of Three Squirrels, a Chinese nut business brand that consists of three cute squirrels).

From a theoretical standpoint, this paper contributes to the brand perception when consumers accept product information with the characteristics of cuteness or cool. Second, a model of perceived quality of digital products is built based on the stereotype content theory. Third, this paper considers individual perception levels on cuteness and cool as the boundaries to conduct further conceptual model.

Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.

This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.

The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.

This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.

Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.