Understanding Purchasing Behaviors for Online Grey Privacy Products -The Moderating Effect of Grey Product Knowledge

Some products are subconsciously thought to be seldom purchased online, but in fact search online this paper have found a large number of online purchases, such as bra. So what are the characteristics of this kind of product? From the perspective of outlier knowledge, this study analyses why consumers buy such products, who is buying, what’s the relationship between grey product and purchasing behavior. The research process of this paper is as follows: Firstly, the consumers who buy bra online are interviewed by field interviews, and the different effects of the attributes of such products on consumers are summarized from the perspective of outlier knowledge. Secondly, the influencing factors privacy concerns and purchasing behavior in the model are measured by the previous maturity scale, while the grey products knowledge is revised by using Bruck\u27s scale for reference. Finally, sample data are obtained by questionnaire. This study finds that privacy concerns have a negative impact on consumers\u27 online purchasing behavior of grey privacy products and consumers\u27 grey products knowledge has a significant positive impact on consumers\u27 purchasing behavior from the perspective of outlier knowledge. Discussing the factors of consumers\u27 online purchasing behavior from the perspective of outlier knowledge management can provide a new perspective for follow-up study

Fine-grained Aspect Extraction for Online Reviews of E-commerce Products Based on Semi-supervised Learning

The accuracy of online review mining for e-commerce products is of great value to customer and product matching portrait. Mining the fine-grained aspect in reviews is a key indicator. It can better analyze the emotion tendency of online reviews and understand the advantages and disadvantages of evaluation objects. In this paper, we propose a semi-supervised learning method to extract product aspects and description of aspects. Specifically, we firstly construct word vector space model of large scale reviews with deep learning, then get the list of similar words based on the model. Finally, the fine-grained aspect sets are obtained by classification algorithm. The results of the study show that the efficiency of fine-grained extraction is improved by using semi-supervised method

The influence of Product Photo display on Purchase intention in Cross-border E-commerce

Nowadays, cross-border e-commerce (CBEC) has become an important channel for promoting international trade. There are many factors that influence consumer participation in CBEC, including the display of product images in the product search list. Excellent and appropriate product photo display can not only attract more consumers, but also stimulate consumers\u27 willingness to buy. However, few studies have focused on the specific elements that should be included in a product photo in a CBEC setting. Based on cue utilization theory and ELM model, this study constructs a research model of consumer purchase intention under the background of CBEC from the perspective of task-relevant cues and affection-relevant cues. In addition, we explore the choice pattern of customers during online shopping by using the decision tree model, and then investigate the influence of specific elements in product photo on sales volume by using hierarchical regression. The data will be obtained from a well-known CBEC platform in China, using clothing products as key words to gather the three factors that consumers will normally first encounter in the search results: the price of goods, number of orders, and a photo of the merchandise. Results will have important theoretical and practical implications for CBEC researchers and practitioners

Character Data Model and Architecture of Garment Based on Global Operation Model

Abstract. With the rapid development of global economy, more and more companies begin to set up global operation model (GOM). However, some applications do not bring forecasting benefits because business models in GOM are different from the traditional business environments. Garment is the traditional industry. It needs to develop better business models and strategy to adapt to the global economy. What is the most important is to learn how to use IT to improve operation processing. An aim of garment operation model is to ensure that knowledge is shared and that the right information and knowledge is available in the right forms to the right entities at the right times for the right costs with the maximum integrated organizations. However, the processing of garment operation model is a complex system related to character data model, IT infrastructure and others that links them together with GOM. The GOM will have profound impact on the garment operation model. In this paper, we discuss garment character model based on GOM. Firstly, the key factors of GOM are summarized. Secondly, the character data model is set up, which is related to several definitions. Thirdly, the architecture of garment industry based on GOM is presented and the components of the architecture are analyzed

Consumer use intention of online financial products: the Yuebao example

Drawing on a valence framework and innovation diffusion theory, this study examines Yuebao deployment to model consumers' intention to use financial products offered online. We collect data via an online survey among a young age bracket and use a VisualPLS graphic interface to test our model. The results indicate that first, compatibility and advantages in relative utility significantly enhance consumers' use intentions and that ease of use has an indirect influence. Second, the negative utility of perceived risk no longer significantly affects intention to use. This mainly lies in consumers' perceived risk focused on the security of online financial products, which has become a part of all online transactions. Third, trust indirectly affects intention to use by influencing utility

Can Corporate Social Responsibility (CSR) Ensure the Sustainable Growth of Ready Made Garments (RMG) Sector in Bangladesh

Corporate Social Responsibility (CSR) is the proceeding with duty by business work to continue the morally and keep on the enhancement of economy while increasing the personal satisfaction of the workforce and their families and also of the nearby group and society on the loose This study has been directed to investigate the considerable significance of Corporate Social Responsibility (CSR). To accomplish result, research technique has relied based on information from secondary sources. This study finds the CSR practices and the practice is not well appropriately. Health problems, injured scenario increasing along with low payment of wages in RMG of Bangladesh. Also environment is polluting in the absence of proper CSR practice. Some of association attempting their best, however in the vast majority of cases association don’t know about that. Without implementation of CSR, sustainable growth is not possible in RMG sector. This study suggested that CSR practice is one and only approach to unravel the all boundaries and ensure the sustainable growth of RMG sector in Bangladesh

The Outlier Knowledge of Products Based On Grey Privacy Information

Product attributes are closely related to consumers\u27 willingness to buy on e-commerce. Some products are considered that few people would buy them online, but in fact they have large sales volume, such as underwear products. This study analyzed from the perspective of the product grey private information of why consumers buy and who is buying these products, what kind of relationship between the purchasing comments and product attributes of these products. Firstly, we select the companies with certain influence to the exploratory research to study the company\u27s comments, and do the data mining of the top 10 products of the best sales and the last 10 products of the poor sales. Secondly, we analyzed the product attributes of the 14 enterprises again by the iterative method and compared with the first exploration result. Thirdly, we studied on the value of common knowledge and outlier knowledge for these products. The study found that common knowledge has the sensitive interval for the price of grey private products, the product price, the discount of the product and the sales volume of the product have significant relationship. The discovery of outlier knowledge is open and the comfort is very different. There is a significant positive correlation between the time of marketing and the sales volume: simple, natural, health products and sales are related; the extreme situations are not universal, but have good room for growth

KNOWLEDGE SHARING AMONG SCIENTIFIC RESEARCH TEAMS IN CHINESE UNIVERSITIES BASED ON KGM

Knowledge sharing is one of the hot issues in the theoretical field and practical world at the current. It remains to be further studied on what level knowledge sharing among Chinese universities is at and what mechanism can affect it. This paper presents a model of conceptual and measurement of knowledge sharing among scientific research teams(KSASRT) in universities and its relevant influential factors with consideration of the special situation in China, aiming at developing an integrative understanding of the factors supporting Chinese scholars’ knowledge sharing behaviour based on the knowledge governance mechanism(KGM). Moreover, we analyze the mediating of sense of ownership, the typical mentality for the Chinese, between formal knowledge governance and knowledge sharing behaviour as well as informal knowledge governance and knowledge sharing behaviour. In addition, we consider the moderate impact of affiliation to discipline on the influence mechanism those knowledge governance variables on knowledge sharing due to the particular university environment. This study not only makes a useful contribution to the theoretical understanding of knowledge governance and knowledge sharing in Chinese universities, but also offers some interesting directions for further empirical research of higher education and scientific research institutions in China

How does Privacy Transfer Affect the Value Co-creation Behavior of Gray Privacy Products? --Female Bras as an Example

Due to the particularity of gray privacy products, purchasing involves more privacy information of consumers, thus affecting value co-creation behavior. Based on the value co-creation theory and privacy calculus theory, this paper takes the female bra as an example to construct the research hypothesis and model influencing the consumer value co-creation behavior under the circumstance that online consumers are concerned about privacy. This article in the form of questionnaire survey to collect empirical data, uses the structural equation model to explain privacy concern about the impact of perceived risk and perceived benefits and mechanisms, as well as the perceived risk and perceived benefits of consumer value to create the behavior and mechanism of action, and discusses the privacy transfer how to affect the consumer\u27s perceived risk and perceived benefits. The results reveal the role of privacy concern and the complexity of the influencing factors of privacy concern and privacy transfer on consumers\u27 value co-creation behavior