Investigating the Impact of Customer Engagement on Customer Innovation Behaviors in Online Brand Communities

In today's increasingly prosperous Internet economy, online brand communities are playing an increasingly important role in marketing. This paper starts with customer participation and studies its relationship with customer innovation behavior. Existing research shows that customers' sense of identity with brand community will make them have more innovative behaviors. Therefore, this paper explores the mediating role of identity (brand identity and community identity) in the relationship between customer participation and customer innovation. The research results show that customer participation has a positive impact on customer innovation behavior, brand identity and community identity have a positive impact on customer innovation behavior, and brand identity and community identity play an intermediary role in customer participation and customer innovation behavior, that is, customer participation can generate more customer innovation behaviors by strengthening brand identity and community identity

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Cooperative spatial multiplexing in multi-hop wireless networks.

It is well known that a multiple-input-multiple-output (MIMO) system can provide spatial diversity gain as well as spatial multiplexing capability. The MIMO con-cept has been extended to cooperative wireless networks to form distributed MIMO systems using virtual an-tennas located at cooperating terminals. The primary interest of cooperative MIMO networks, however, has been focused on the cooperative diversity (C-DIV) ap-proaches to achieve spatial diversity gain. Recent work proposed cooperative spatial multiplexing (C-SM) to sim-plify the transmit and receive processing requirement on the relay nodes while providing significant energy sav-ings. So far C-SM has been only considered for single-hop relaying. In this paper, we propose the use of multi-hop relaying C-SM systems for transmit energy reduc-tion and performance improvement. 1