508 research outputs found
Does A Customers Own Review Behavior Have An Impact On Its Purchase Behavior? Analyzing The Impact Of Review Platform On Group-Buying Platform-----A Study Based On Dianping.Com
With the development of Web 2.0, traditional customers have increasingly transferred to online purchase and created a large volume of User Generated Content (UGC) on the Internet. The changes brought traditional customer relationship management a great impact and forced companies to adapt, change and evolve. The previous researches have studied the influence of crowdsâ feedback on customerâs purchase behavior, but little researches explore the impact of customerâs own review behavior on its purchase behavior. In this paper, our study seeks insights into analyzing the impact of customerâs own review behavior on its purchase behavior and discovering how this effect could be fully utilized to predict customerâs next stage churn. Based on data from Dianping.com, a famous comprehensive website which contains review and purchase platforms, we build the Logit regression model, considering customerâs own review and purchase behavior and finding the impact of userâs own review behavior on purchase behavior. Finally, we also use ten-fold cross-validation to prove the stability of our model
USER-GENERATED CONTENT (UGC) ENCOUNTERED ENTERPRISE-GENERATED CONTENT (EGC): QUANTIFYING THE IMPACT OF EGC ON THE PROPAGATION OF NEGATIVE UGC
The impact of user-generated content (UGC), especially negative UGC on enterprises is well recognized. From the perspective of enterprises, different strategies of enterprise-generated content (EGC) have also been adapted to response to the unexpected UGC, but few studies have investigated the influence of such strategies on the UGC propagation. This research examines which strategy on the negative UGC propagation is optimal by proposing EGC-UGC interaction model. It aims to understand the interaction between UGC and EGC in the context of the social network. Using a simulation analysis method to measure the effect of such EGC factors as the first time of issuing EGC, EGC quantity and interactive frequency on the UGC propagation, the study finds that interactive frequency is the most key factor in defending against negative UGC propagation. This research further explores the effect of different strategy combination referring those three factors on the two types of negative UGC propagation based on deviation distance. The results present two optimal strategies for the two types of negative UGC propagation, respectively. Overall, these findings offer some unique implication for UGC management, information diffusion model of competitive information coexisting
Wasserstein Differential Privacy
Differential privacy (DP) has achieved remarkable results in the field of
privacy-preserving machine learning. However, existing DP frameworks do not
satisfy all the conditions for becoming metrics, which prevents them from
deriving better basic private properties and leads to exaggerated values on
privacy budgets. We propose Wasserstein differential privacy (WDP), an
alternative DP framework to measure the risk of privacy leakage, which
satisfies the properties of symmetry and triangle inequality. We show and prove
that WDP has 13 excellent properties, which can be theoretical supports for the
better performance of WDP than other DP frameworks. In addition, we derive a
general privacy accounting method called Wasserstein accountant, which enables
WDP to be applied in stochastic gradient descent (SGD) scenarios containing
sub-sampling. Experiments on basic mechanisms, compositions and deep learning
show that the privacy budgets obtained by Wasserstein accountant are relatively
stable and less influenced by order. Moreover, the overestimation on privacy
budgets can be effectively alleviated. The code is available at
https://github.com/Hifipsysta/WDP.Comment: Accepted by AAAI 202
Analysis on Evolution Model of Zombie Company under the Absence of Bank Data
In view of the fact that the data of bank loaning is difficult to be collected, this paper innovatively explores the evolution model of zombie companies by text analysis based on the researches of previous papers at home and abroad based on the financial data of zombie companies. Through the relevant researches on 27 zombies collected, the common characteristics of zombies are found out by the grounded theory. According to the relevant models of enterprise life cycle theory, the evolution model of zombie companies is drawn up, and the corresponding feedback loop of system dynamics causality in each link is further found out, so as to explore the evolutionary rules and the reasons of zombie companies, which is helpful for government to further research on zombies, and favorable for the efficient allocation of market resources and the further rapid development of social economy
Identity Change through Affordances Actualization: Evidence from Healthcare Workers
As more and more digital technologies are used in healthcare organizations, the way healthcare workers work and doctor-patient communication are changing. These changes will lead to identity change of healthcare workers. Some scholars try to understand technological changes in terms of the affordance theory. However, there are few relevant studies that incorporate specific application scenarios. In this paper, we explore the specific performance of the digital technology affordance and the impact on healthcare workersâ identity in China. We conducted in-depth interviews with 14 healthcare workers and used grounded theory to summarize three kinds of digital technology affordance, namely functional affordance, process affordance and performance affordance. The findings suggest that on the one hand, digital technology affordance increase the efficiency of healthcare workers and enhance collaboration among colleagues, thus reinforcing the healthcare workersâ identity. On the other hand, over-reliance on digital technology may also lead to unnecessary hassles that worsen healthcare workersâ identity. Our study enriches the affordance theory and identity theory, and has constructive implications for the quality of healthcare services in a digital context
How cognitive and reactive fear circuits optimize escape decisions in humans
Flight initiation distance (FID), the distance at which an organism flees from an approaching threat, is an ecological metric of costâbenefit functions of escape decisions. We adapted the FID paradigm to investigate how fast- or slow-attacking âvirtual predatorsâ constrain escape decisions. We show that rapid escape decisions rely on âreactive fearâ circuits in the periaqueductal gray and midcingulate cortex (MCC), while protracted escape decisions, defined by larger buffer zones, were associated with âcognitive fearâ circuits, which include posterior cingulate cortex, hippocampus, and the ventromedial prefrontal cortex, circuits implicated in more complex information processing, cognitive avoidance strategies, and behavioral flexibility. Using a Bayesian decision-making model, we further show that optimization of escape decisions under rapid flight were localized to the MCC, a region involved in adaptive motor control, while the hippocampus is implicated in optimizing decisions that update and control slower escape initiation. These results demonstrate an unexplored link between defensive survival circuits and their role in adaptive escape decisions
An Analysis of the Cause of Privacy Paradox among SNS Users: take Chinese College Students as an Example
It has been proved that the privacy paradox does exist, yet the cause of the phenomenon remains vague. This article tries to analyze the [Inserted: s]cause of privacy paradox phenomenon on SNS (WeChat) among Chinese college students based on Privacy Calculus Theory and the TPB model and introduces two new factors: the credibility of SNS and the cost of protecting privacy. Through a questionnaire and interview survey,[Inserted: a ] our result shows that there is no significant correlation between usersâ privacy concerns and the intention of privacy disclosure. While the more users trust the SNS platform, the more possibility they tend to disclose their private information[Inserted: te], and the cost of privacy protection can somehow weaken the relationship between the intention and the actual behavior. Therefore, [Inserted: ship]by increasing SNS\u27s credibility, users tend to disclose more personal information to SNS providers, which may improve the competitiveness of SNSs and contribute to their sustainable development
Which Factors Determine Userâs First and Repeat Online Music Listening Respectively? Music Itself, User Itself, or Online Feedback
In the era of Web 2.0, does online feedback mainly dominant online usersâ buying behavior, or are userâs own preference and product quality still important? Previous studies paid more attention to the influence of online feedback on usersâ online buying behavior, however this paper focuses on how usersâ own factors, product quality related factors and online feedback factors together influence a userâs buying behavior, and also how does this effect change as time goes by. Taking online music as our research industry and using the data from Last.fm website, this research shows that usersâ preference and product quality are still the two most dominate factors influencing usersâ online music listening, while online feedback plays an important role on usersâ first listening. It is also found that the different influences of crowds and friends
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