EXPLORING SOCIAL COMMERCE ADOPTION IN CHINA: A USES AND GRATIFICATIONS PERSPECTIVE

As a new e-commerce paradigm, social commerce has resulted from consumers relying on the online recommendations of friends and acquaintances. To clarify Chinese consumers’ social commerce intentions, we conducted an empirical study based on a uses and gratifications approach. The results indicate that perceived gratification from entertainment was found to be the strongest predictor of Chinese consumers’ social commerce intentions. This is followed by the perceived gratification from information seeking, expressive information sharing, cool and new trends, and social interaction. However, neither gratification from escape nor passing time was found to be significant predictor. In addition, perceived gratification from information seeking has a stronger influence on consumers’ social commerce intentions in females than in males, while perceived gratification from expressive information sharing has a stronger influence on consumers’ social commerce intentions in males than in females. Theoretical and practical implications of these findings are discussed in the paper

A rigidity theorem of self-expander

In this paper, we completely classify $3$-dimensional complete self-expanders with constant norm $S$ of the second fundamental form and constant $f_{3}$ in Euclidean space $\mathbb R^{4}$, where $h_{ij}$ are components of the second fundamental form, $S=\sum_{i,j}h^{2}_{ij}$ and $f_{3}=\sum_{i,j,k}h_{ij}h_{jk}h_{ki}$

Chronic Fatigue Stress and Sudden Death

Stress refers to a series of neuroendocrine reactions, such as sympathetic nerve excitation and pituitary-adrenal cortex secretion increase, which occur when the body is stimulated by various stressors, and the changes of various functions and metabolism caused by these reactions. Chronic fatigue stress is a fatigue state caused by long-term physical and psychological stress. When the stress reaches a certain intensity or the individual is not well-tolerated, the body stability is impaired, resulting in various pathophysiological reactions leading to various diseases, such as stress hyperglycemia, stress cardiomyopathy, stress arrhythmia, stress ulcer hemorrhagic shock, or even stress ulcer hemorrhagic shock. Eventually lead to sudden death and other adverse events

An Analysis of the Effect of Consumer Dissatisfaction on Negative Word of Mouth

Consumers engage in Word of mouth for due to satisfaction or dissatisfaction. Word of mouth is a very powerful tool that can make or break an organization. A satisfied consumer will spread positive word of mouth while a consumer who is dissatisfied will spread negative word of mouth about the products and services. In this paper we test empirically to see how Xiaomi customers in China and a few other countries such as United States of America, Australia and Africa, including South Africa express their dissatisfaction level through negative word of mouth using SPSS as a means of analysis. Main findings and conclusions are discussed. Keywords: Dissatisfaction, word of mouth, xiaomi, no company feedback, consumer feedbac

MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension

The large language models have achieved superior performance on various natural language tasks. One major drawback of such approaches is they are resource-intensive in fine-tuning new datasets. Soft-prompt tuning presents a resource-efficient solution to fine-tune the pre-trained language models (PLMs) while keeping their weight frozen. Existing soft prompt methods mainly focus on designing the input-independent prompts that steer the model to fit the domain of the new dataset. Those methods often ignore the fine-grained information about the task and context of the text. In this paper, we propose a multi-level prompt tuning (MPrompt) method for machine reading comprehension. It utilizes prompts at task-specific, domain-specific, and context-specific levels to enhance the comprehension of input semantics at different granularities. We also propose an independence constraint to steer each domain-specific prompt to focus on information within its domain to avoid redundancy. Moreover, we present a prompt generator that incorporates context-related knowledge in the prompt generation to enhance contextual relevancy. We conducted extensive experiments on 12 benchmarks of various QA formats and achieved an average improvement of 1.94\% over the state-of-the-art methods.Comment: 13 pages, 5 figures, accepted by EMNLP2023-Finding

When Reward Meets Donation: A Paradoxical Dilemma

Reward-based crowdfunding platforms are increasingly incorporating donation options, allowing backers to financially support campaigns without receiving any tangible rewards in return. Although this option seems to create a novel fundraising channel, our quasi-natural experimental study highlights the potential negative impacts of individual donation occurrences, which ultimately lead to reduced total raised funds, as substantiated by robust empirical evidence. We explore two primary mechanisms responsible for the adverse effect. First, the bystander effect, where prior donations discourage potential backers from supporting the campaign, causing them to either forgo reward purchases or decrease their contribution amounts. Second, the social conformity effect, in which prior donations shape backers\u27 perceptions of social norms and consequently lower their support levels. By offering a comprehensive understanding of behavioral dynamics in crowdfunding, our study enriches the literature on the design and management of crowdfunding platforms and provides valuable insights for industry practitioners

What Is a Better Marketing Strategy for Live Streaming Broadcasters? A Topic Model of Social Interactions

Live streaming has spawned a new business model called live-streaming commerce (LSC). Interactive LSC features affect viewer purchasing behavior. This study empirically examines two types of social interactions in danmaku: transaction-oriented and relationship-oriented. Viewers in the first category focus on products and transactions and tend to talk non-emotionally. While relationship-oriented viewers might treat broadcasters as friends, using emotional language in their interactions. Our econometric model shows a curvilinear association of relationship-oriented social interaction and viewer purchase behaviors in LSC, but social interactions have varying effects on viewer purchase behaviors.We discuss implications of heterogeneous social-interaction strategies across different broadcasters

An Application of a Model of Online Travel Community Behavior: Beliefs, Attitudes and Behaviors in C-Trip, a Chinese Online Travel Community

Online communities have become a popular and influential venue for tourism information sharing, yet little is known about membership behavior. The purpose of this study is to test a new model of online travel community beliefs, attitudes and behaviors. The model integrates measures proven in traditional consumer behavior theory such as satisfaction, trust and brand attitude, with behavioral measures unique to the online domain, such as stickiness. The results of an online survey of 145 members of C-Trip, a Chinese online community, indicate that the quality of the community significantly influences member satisfaction and trust. However, trust does not influence site stickiness or intention to transact. It is member satisfaction that significantly influences site stickiness, and in turn stickiness influences intention to transact. The relationship from online community quality, to member satisfaction, to stickiness, to transaction suggests a service blueprint for site operators to follow