WHAT AFFECTS THE ADVERTISING SHARING BEHAVIOR AMONG MOBILE SNS USERS? THE RELATIONSHIPS BETWEEN SOCIAL CAPITAL, OUTCOME EXPECTATIONS AND PREVENTION PRIDE

Mobile networks practice of social networking service that gives individuals an easy way to exchange messages and ideas with others base on interpersonal relationships. However, why individuals spread advertisements in their social circles through mobile applications is not well understood: is this the result of environment impact or the result of individual characteristics? To tackle this problem, we apply social capital theory to examine how social capital influence advertising recommendation quality and advertising sharing behavior in mobile networks. And, we also use social cognitive theory and regulatory focus theory to investigate the motivations behind people\u27s advertising sharing behavioral in mobile networks. Data collected from 319 mobile social networking users provide support for the proposed model. The analysis of the sample shows that the social capital and outcome expectations are significant indicators of individual’s ad-sharing behavior in the mobile SNS environment. Moreover, the prevention pride has an obvious interaction influence on the perception and behavior of M-ad sharing. Implications for research and practice are discussed

5P4F-Based Innovation Method of E-Commerce Business Models

The development of Internet provides greater space and flexibility for business model innovations, while continuous innovations innately characterize the e-commerce models. The innovation activities have been greatly enhanced since the US Patent and Trademark Office issued a patent for the one-click shopping process invented by Amazon. This paper presents an analysis method, as well as the innovation method, of e-commerce business models, both based on 5P4F(5P---product, price, place, promotion, position; 4F---business flow, information flow, capital flow, logistics flow). The paper provides two ways to innovate EC business models : innovation of element property and innovation through model-composition. With these methods, practitioners can operate a detailed analysis of the present models and models of their enterprises to search for existing problems and consummate the present models with focus. As to the academic circle, it provides a general and referential frame, idea and method for the research on EC business model innovation

Which Location to Register For Sellers in C2C E-Market in China? A Study on Taobao.Com

As there are a large number of sellers and products on C2C shopping websites, consumers are faced with the problem about how to choose the right goods whereas sellers are confronted with the problem concerning how to set up online shops and provide commodities. Based on signaling theory and research findings about regional economics, we put forward an analysis model between the difficulty in identifying quality of goods and the quality signal intensity of geographic location, and make an empirical test by the actual data from Taobao.com. What this study finds is that, under the environment of C2C e-commerce in China, the geography location may affect the distribution of these online stores and their sales performance. For local specialty products, the quantity and the average sales of seller stores from the origin locations are more than those from the other locations; for the branded consumer electronics, the quantity and the average sales of seller stores from the first-tier cities are higher than those from other cities

CHOICE SCHEMA DESIGN OF CROWDFUNDING CAMPAIGNS: AN EXPLORATORY STUDY

As a novel way to raise fund, crowdfunding has attracted more and more attention from industry, academia and investment community. During the past few years, a variety of online crowdfunding platforms have supported a large number of crowdfunding campaigns all over the world. Due to its online nature, the design of crowdfunding campaigns on crowdfunding platforms is of great importance to the success of both crowdfunding campaigns and crowdfunding platforms. The profile page of a crowdfunding campaign not only provides abundant descriptive information of it, but also contains a choice schema for potential backers to pledge. Similar to tradition e-commerce context, proper choice design is also critical to the success of crowdfunding campaigns. Except for donationbased choice and reward-based choice, some leading reward-based crowdfunding platforms in China introduced lottery-based choice into the choice schema of crowdfunding campaigns. In this paper, we aim at reward-based crowdfunding campaigns. Firstly, we investigate the impact of choice schema’s two key features: the number of reward-based choices and the existence of lottery-based choice. After that, we focus on crowdfunding campaigns that contain lottery-based choice to uncover whether the price of lottery-based choice and the chance to win the reward have significant impact on the success of crowdfunding campaigns. We find that the number of reward-based choices in the choice schema of crowdfunding campaigns has a positive effect on their success and the existence of lottery-based choice has a negative effect on their success. Furthermore, both the price of lottery-based choice and the chance to win the reward have no significant impact on the success of crowdfunding campaigns

Understanding the Impact of AI Decision speed and Historical Decision Quality on User adoption in AI-assisted Decision Making

Artificial intelligence (AI) has shown increasing potential in assisting users with decision-making. However, the impact of AI decision speed on users\u27 adoption intention has received limited attention compared to the focus on decision quality. Building on cue utilization theory, this study investigates the influence of AI decision speed on users\u27 intention to adopt AI. Three experiments were conducted, revealing that users exhibit a higher intention to adopt AI when AI\u27s decision speed is higher and historical decision quality is better. Furthermore, the perceived intelligence and perceived risk in decision-making act as mediating variables in these effects. Importantly, the study finds that historical decision quality moderates the relationship between AI decision speed and user adoption, weakening the impact in conditions of high quality. These findings contribute to the understanding of AI adoption and offer practical implications for AI service providers and developers

Merchants’ Replies to Customer Reviews in Online Malls: The Role of Positive Reviews

It is common to see merchants reply to customer reviews in online malls. While extant research generally investigates the effects of merchants’ replies to negative reviews, the role of positive reviews remains a rather neglected factor in extant studies. In order to better reflect the real conditions in online malls, this study examines the role of positive reviews in the context of merchants’ online review response in two aspects. Firstly, we examine whether responding to positive reviews influences merchants’ sales by using the panel data collected from taobao.com. Secondly, little attention has been paid to whether the exhibition of positive reviews influences the effectiveness of merchants’ responses to negative reviews. Our study extends extant studies by introducing the moderating effect of the percentage of positive reviews. The exhibition of positive reviews is closely related to the generation of positive word-of-mouth and a high percentage of positive reviews can improve customers’ perceived credibility of the merchant. Therefore, if merchants gain a high degree of consumers’ trust, their responses are generally more effective and influence the sales more significantly

Brand Effect on Customers’ Value Perception in Online Customization

This paper investigates the brand effect on customer’s value perception in online customization. We argue that though the online customization can add value for the customers, this effect is attenuated by brand because of the obfuscation of the attribution. Specifically, with the presence of brand, the output of customization process may be erroneously attributed to the brand so that the attitude and evaluation on the customization may be lowered because consumers always make decision and attribute the result based on the available and salient information

MRP or JIT - The transformation from industrial to post-industrial enterprise systems

Many U.S. manufacturers are experiencing a fundamental transformation. The traditional industrial mindset is now obsolete. The accelerated changes in technology and world market require a new post-industrial paradigm. Using MRP and JIT as examples, this paper discusses some important changes from an industrial to a post-industrial enterprise. system. The implications of theses changes to Chinese manufacturing firms are also discussed

Knowledge Sharing in Personal Networking Instead of Professional-instrumental Context: An Integrated Perspective of Psychological Defense

The approach and structure of online networking have different implications for the knowledge sharing behavior of workers across teams within an organization. Despite studies on the topic, it is still not clear how the characteristic of social ties influences knowledge sharing behavior via online platforms, which have increasingly highlighted two opposing attributes: instrumental/task-related networks and expressive/personal networks. This study investigates the role of psychological defense in shaping the knowledge sharing behavior of employees in personal networking tools. Empirical analysis based on data collected from 455 knowledge workers demonstrated that psychological defense has a fundamental impact on knowledge sharing in personal networking context. Specifically, our results show that psychological safety, need to belong, self-integrity, sense of control, work overload, and role conflict have significant impact on the sharing behavior of knowledge workers in the personal networking context. The theory and practice contributions provided by the current study were discussed

AN IMPROVEMENT TO E-COMMERCE RECOMMENDATION USING PRODUCT NETWORK ANALYSIS

To help consumers find the most wanted products effectively, e-commerce recommendation saves lots of time spent on viewing unnecessary web pages and increases revenue for ecommerce websites. Because of this significance, this paper concentrates on technology of recommendation and makes an improvement to recommender system. To solve the problem of current technology that only concerns association between two products, this model considers the product network and guides consumers to view products following the intended path. The object is to maximize revenue of the entire product network. An empirical study of yhd.com shows our model is more effective than current model