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The purpose of the research paper is to investigate the relationship between personality traits and investment decisions in the crypto market, including cryptocurrencies and NFTs. The study aims to explore the effect of dark personalities and the big five personalities on investment decisions in the crypto market.

The research was conducted through two online questionnaire studies. In Study 1, data were collected from the general public, while in Study 2, data were collected from crypto investors. The researchers analyzed the effect of dark personalities and the big five personalities on investment decisions in the crypto market.

The present research found that Machiavellianism, narcissism, psychopath, sadism and extraversion have positive effects on having crypto investments. In addition, focusing on actual crypto investors, the present paper showed that personalities including Machiavellianism, narcissism, psychopath, consciousness and extraversion have statistically significant effect on investment decisions such as making investments in Bitcoin.

The study is original in exploring the relationship between personality traits and investment decisions in the newly emerging crypto market, including cryptocurrencies and NFTs. The research provides insights into how different personality traits affect investment decisions in the crypto market, which can be valuable for investors in making informed decisions.

China’s economy is transforming at a brisk pace. A partially dismantled command economy and introduction of competition have fueled consumer demand for a greater selection of innovative new products in the retail market. The challenge for retail buyers is to adjust their procurement processes to respond to consumer needs in an efficient and effective manner. This study examines factors influencing buyer‐supplier relationships in a transition economy. We present a model to explain the factors driving retail buyer dependence on suppliers. We find that retailer evaluation of supplier credibility mediates the relationship between retailer perceptions of a supplier ability to add value to its business and the ability to achieve its desired goals. In part, this is due to the supplier’s market orientation. Interestingly, guanxi ties have no impact on the retailer perceptions of the supplier credibility, but have a positive affect on retailer dependence on its supplier partners.

This paper aims to fabricate a FeS/Cu-Bi copper-based lead-free bearing material to maintain good friction-reducing and anti-adhesive properties under boundary lubrication conditions.

The materials were fabricated by mechanical alloying and powder metallurgy and tested under dry friction conditions using HDM-20 wear tester.

The results show that mechanical alloying can improve the antifriction and wear resistance of the materials. The 6 per cent FeS and 6 per cent Bi in the copper-based bearing materials fabricated by mechanical alloying have a better synergism which contributes to the friction and wear properties of copper matrix.

This new approach solves the problems of Bi and FeS mutual segmentation, mutual agglomeration and poor interface bonding.

The purpose of this paper is to predict news intent by exploring contextual and temporal features directly mined from a general search engine query log.

First, a ground-truth data set with correctly marked news and non-news queries was built. Second, a detailed analysis of the search goals and topics distribution of news/non-news queries was conducted. Third, three news features, that is, the relationship between entity and contextual words extended from query sessions, topical similarity among clicked results and temporal burst point were obtained. Finally, to understand the utilities of the new features and prior features, extensive prediction experiments on SogouQ (a Chinese search engine query log) were conducted.

News intent can be predicted with high accuracy by using the proposed contextual and temporal features, and the macro average F1 of classification is around 0.8677. Contextual features are more effective than temporal features. All the three new features are useful and significant in improving the accuracy of news intent prediction.

This paper provides a new and different perspective in recognizing queries with news intent without use of such large corpora as social media (e.g. Wikipedia, Twitter and blogs) and news data sets. The research will be helpful for general-purpose search engines to address search intents for news events. In addition, the authors believe that the approaches described here in this paper are general enough to apply to other verticals with dynamic content and interest, such as blog or financial data.

Influenced by factors such as fluctuations in market supply and demand and the rapid development of new technologies, manufacturing companies are facing greater challenges to transform and upgrade. The existing relevant studies about sustainable innovation capabilities mostly focus on classification of innovation or from a static resource-based view and less on quantitative measurement from a dynamic perspective and inter-organizational relationships. This paper takes a dynamic capabilities and social capital theory, explore the concept and dimensions of sustainable innovation capabilities and then makes development of a new scale.

This paper uses a combination of qualitative and quantitative research methodologies to develop a measure of sustainable innovation capabilities in two studies. Grounded theory methodology is used to explore the concept definition and dimensions of sustainable innovation capabilities. Exploratory factor analysis and confirmatory factor analysis are conducted to refine and validate the factor structure, and then the authors developed the sustainable innovation capabilities scale.

The results show that sustainable innovation capabilities composed of ideation capabilities, opportunity capture capabilities, agile learning, creative inheritance and networking capabilities. The sustainable innovation capabilities that firms should possess are reflected at the firm level and inter-organizational relationship level, and the culture-specific dimension of creative inheritance reflects the influence of national and organizational culture.

The research reveals the internal driving force of the manufacturer's sustainable innovation capabilities, as well as the role and uniqueness embodied in the specific culture, providing a new perspective for improving the manufacturer's sustainable innovation capabilities.