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With the prevailing microblogging phenomenon, many marketers have created their microblog accounts to promote products, advertise brands, and attract consumers. The purpose of this paper is to examine the effects of consumers’ community commitment, information technology (IT) habit, and participation on their brand loyalty in the context of enterprise microblogs.

A total of 364 valid data were collected from fans or followers of enterprise microblogs through a survey on Weibo.com. The data were analyzed with smart partial least squares.

Community commitment and IT habit directly lead to brand loyalty and indirectly affect brand loyalty through the mediating influence of participation. Information quality, perceived expertise, and social interaction are antecedents of community commitment. Satisfaction, importance, and social interaction positively affect IT habit.

To enhance the generalizability of the study, future studies may examine findings in other platforms (e.g. Twitter) with a large sample size.

Practitioners can increase consumers’ brand loyalty through enterprise microblogs. Considerable attention should be directed to facilitating members’ community commitment and IT habit. In addition, the study points out significant antecedents of community commitment and IT habit for researchers, managers, and companies.

To uncover the marketing potential of microblogging technology, the authors highlight the need for investigating how enterprise microblogs generate promising marketing outcomes. The present study examines key determinants of brand loyalty. The model empirically shows the significant effects of community commitment, IT habit, and participation.

Considering the popularity and addictive attributes of short-form videos, this study aims to determine mechanisms by which short-form video features affect addiction.

This study conducts empirical research using data collected from 382 Chinese TikTok users. Based on the stimulus–organism–response framework, the research model was constructed from the opponent process theory (OPT) perspective through features and emotional elements.

The results show that short-form video features influence addiction by activating users' perceived enjoyment and feeling of withdrawal. Based on the positive and negative reinforcement of the OPT, users must repeatedly interact with short-form videos to maintain positive emotions or reduce negative emotions. Eventually, this practice will lead to addiction. Additionally, users' procrastination moderates the relationship between feeling of withdrawal and addiction.

This study discussed how features influence addiction through opponent emotions on short-form video from the OPT perspective, enriching scholars' research on social media addiction. Furthermore, this study examined the moderating effects of procrastination and identifies unique features of short-form videos.

The present study operationalizes and tests the impact of extrinsic (store environment, promotional activities) and intrinsic (hedonism, materialism) variables on impulsive buying during the COVID-19 period. It also considers the dual-factor approach (panic and impulsive buying tendency) using the “Stimulus-Organism-Response” approach and “Dual-Factor Theory”.

Purposive sampling was used to obtain data from 362 responses from retail shoppers and analyzed by path analysis. The moderation of novel constructs (scarcity and COVID-19 pandemic) examines the backdrop of retail impulse shopping.

The store environment has a detrimental effect on panic and impulsive buying. Promotional activities have a beneficial effect on impulsive buying tendency. Similarly, hedonism and materialism have a substantial positive effect on panic and impulsive buying tendencies. Between stimulus (intrinsic and extrinsic) and response variables, organism factors (panic and impulsive buying inclinations) influenced positively (impulsive buying); in terms of moderation, scarcity and the COVID-19 pandemic exhibit substantial moderation between organism and response.

The results contribute substantially to the existing domain of customers’ panic and impulsive purchasing behavior for the scarcity of essential items during the COVID-19 epidemic. Research in this field is limited, varied and inconclusive. New insights were obtained as this research blends the “Stimulus-Organism-Response” and Dual factor theories.

Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.

The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.

The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.

The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.

The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.

First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

Drawing on and extending the push-pull-mooring (PPM) framework, this paper aims to empirically explore the influencing mechanism of traveler switching intention from the hotel reservation platforms to the sharing accommodation platforms (SAPs).

This study adopts structural equation modeling to analyze the 543 responses collected among hotel reservation platforms and SAPs travelers.

The results support the positive effect of both push factors (e.g. dissatisfaction with product, service and information quality of hotels on the hotel reservation platform) and pull factors (e.g. price value, authenticity, interaction, home benefits and novelty of SAPs) on traveler switching intention. Except for the negative effect of switching cost, other mooring factors including prior switching experience and social influence positively affect traveler switching intention. The authors also found the switching cost negatively and prior switching experience positively moderated the push effects on traveler switching intention, while the social influence positively moderated the pull effects on traveler switching intention.

Recommendations of future SAP participation research to consider the competing platforms, the unique experiences of SAPs and mooring factors. Examining the factors of different sources is also useful for practitioners to better understand travelers’ demands and to improve the overall welfare of travelers.

This paper embraces an extended PPM framework to explore traveler switching intention in online travel platforms. Moreover, this paper provides unique insights into the switching behavior from the hotel reservation platforms to the SAPs.

This review paper reveals the literature on ultrasonic, chemical-assisted ultrasonic and rotary ultrasonic machining (USM) of glass material. The purpose of this review paper is to understand and describe the working principle, mechanism of material removal, experimental investigation, applications and influence of input parameters on machining characteristics. The literature reveals that the ultrasonic machines have been generally preferred for the glass and brittle work materials. Some other non-traditional machining processes may thermally damage the work surface. Through these USM, neither thermal effects nor residual stresses have been generated on the machined surface.

Various input parameters have the significant role in machine performance characteristics. For the optimization of output response, several input parameters have been critically investigated by the various researcher.

Some advance types of glasses such as polycarbonate bulletproof glass, acrylic heat-resistant glass and glass-clad polycarbonate bulletproof glass still need some further investigation because these materials have vast applications in automobile, aerospace and space industries.

Review paper will be beneficial for industrial application and the various young researcher. Paper reveals the detail literature review on traditional ultrasonic, chemical assisted ultrasonic and rotary USM of glass and glass composite materials.

In an emerging market, understanding shoppers' behavior in an online market is essential to developing online retail strategies. This research study examines the effects of intrinsic factors, namely, perceived utilitarian, hedonic value, materialism, fashion interest and enjoyment, on impulsive online shopping with mediating role of trust and online shopping attitude in the Indian emerging market.

Data are collected from 443 Indian respondents, using purposive and snowball sampling. The data were analyzed using the IBM Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) package using structural equation modeling.

The results showed that perceived utilitarian, hedonic value, materialism and enjoyment factors significantly impacted perceived trust and online shopping attitude, but fashion interest had no effect. Mediating factors positively impacted impulsive online shopping and showed a significant association between intrinsic factors and impulsive online shopping.

The geographical area of study was limited to only India. Consequently, the findings and conclusions of the study had their limits. The research used the information continuum with a purposive and snowball approach that does not necessarily generalize the findings of the analysis. This work looked at factors stimulating the impulsive online shopping pattern of Indian shoppers in an emerging market.

This research would help e-retailers develop new strategies and plans to increase sales volume and create strong relationships with online customers by providing trustworthiness and security in buying practices.

This study helps to understand the consumer impulsive buying during coronavirus disease 2019 (COVID-19), and it helps e-retailers to adopt a new online store to draw the attention of the consumers and enhance their online sales.

In this COVID-19 situation, this study explores the inherent factors influencing impulsive online shopping in the emerging Indian market. As a result, it contributes to visual identity literature by expanding the field of impulsive online shopping behavior.

The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.

Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.

The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.

Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.