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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.

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.

This paper aims to study a dominant e-retailer operating its own e-marketplace (B2C) to host peer competitor as well as acting as a traditional retailer (“dual-format” retailing as in Mantin and Krishnan 2014). The dominant retailer offers a two-part tariff charging scheme to a third-party seller. The seller decides whether to join the e-marketplace. The present paper is interested in addressing the following questions: What is the pricing equilibrium before/after the formation of the e-marketplace? What will be the “optimal” charging scheme? What is the impact on the e-marketplace operator if the third-party seller has the option to become “featured”.

This paper adopts a stylized model to capture the competition between the two retailers and applies game theory to solve the pricing equilibrium. The authors model the dual-format retailing in a two-stage decision: Stage 1, the e-marketplace operator offers a two-part tariff; Stage 2, if the other retailer is participating, they engage in a pricing competition. They assume that the e-marketplace operator is a profit maximizer by choosing its charging scheme subject to the condition that the participating retailer is no worse off.

The authors find that the e-retailer and the third-party seller in the e-marketplace are not always hurt by intensified price competition. They identify conditions under which higher expected prices are charged as a result of agglomeration effect. The authors’ model also provides theoretical evidence on this popular charging scheme, and shows the feasible region in which the e-marketplace operator could allocate the surplus resulted from the formation of the e-marketplace between itself and the participating retailer. Finally, the authors demonstrate that if the third-party seller has the option to become a “featured” retailer (He and Chen, 2006), it can be detrimental to the e-marketplace operator.

This work is different in three ways: First, the authors model an e-marketplace adopting a “dual-format” retailing, facing the trade-off between its direct retailing revenue and the rents collected from the member store, while the literature mainly focuses on e-marketplaces playing the intermediary role. Second, they explicitly model the “market expansion effect” caused by the agglomeration after the formation of the e-marketplace. The present study complements this stream of research by investigating and providing theoretical evidence on the charging scheme popularly adopted by the e-marketplaces and proposes ways to share the surplus to the participating store.

The purpose of this paper is to explore different tagging behaviours between Chinese and Americans by analysing the movie tags, and explore the feasibility of applying cultural differences to tag recommendations.

This paper introduced hypotheses based on several well-established psychological theories and tested them with social tags for the same movies generated by Chinese and Americans. And to prove the utility of the cultural factor consideration, this paper conducted a cross-cultural tag recommendation experiment.

The results show that compared with Americans, Chinese users tend to add more tags about movies’ background information (e.g. release year) and global contextual characteristics (e.g. genre); they also prefer to add tags about production countries and factual tags, and cultural factors can be applied for recommending more accurate tags.

Other reasons for tagging differences beyond cultural factors have not be explored. Tags for some sample movies in MovieLens might be unstable, as they had been tagged by a small scale of users; as a result, the tags’ type distribution might be influenced.

The results and conclusion of this study will be beneficial for the cross-cultural applications of social tags and mining users’ interests based on tags.

This paper provided a deeper investigation of the cross-cultural effect in people’s social tagging behaviours from cognitive perspective, and an empirical analysis has been performed to explore proper approaches of incorporating cultural differences for tag recommendation.

CIM and BPR are seen as two kinds of means whereby performance can be improved while flexibility is, at the same time, also being enhanced. Highlights similarities as well as differences between BPR and CIM through comparative analysis. Emphasizes that CIM is still an incremental approach to enterprise performance improvement although much information technology is being used, and that radical changes will not be achieved without combining with BPR. Analyzes the effects of BPR on CIM in three aspects: production process, organizational structure and information technology. Proposes that the aims of CIM based on BPR are designing of customer‐oriented production process, creating of teamwork‐centered and flexible organization consisting of some from market‐to‐market process chains and building of distributed, simplified and integrated supporting information system.

This paper aims to provide an overview for the main project details of the China Academic Digital Library (CADL) with focused introduction on China Academic Library and Information System (CALIS), China Academic Digital Library and Information System (CADLIS), China‐America Digital Academic Library (CADAL) and China Academic Humanities and Social Sciences Library (CASHL).

The paper first gives a literary review on CADL and then analyzes the existed and existing problems of China digital library construction using graphical presentation and tabular comparison.

After reviewing CADL and the major related projects developed in the last decade, it is shown that the digital library (DL) construction effort in China is divided into three phases: concept introduction phase, technical exploration phase, and application deployment phase. The first phase of CADL gave a solid preparation in terms of concept introduction while the DL soon began to be recognized and accepted as a practical proposal among industries. In the second phase, various potential technologies for DL realization were substantially investigated, tested, and implemented. The related projects cover subjects including DL architecture, information retrieval, information description, digitization, e‐Book, Digital Rights Management, etc. During the last phase, standards, protocols and specifications that help DL to interoperate with one another were widely discussed and deployed.

This paper expatiates on the background, development and future trend of the CADL project for the first time in the literature. It is concluded that researchers and the public from China as well as other countries thus may benefit from both positive and improvable DL construction experiences.

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.

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.

The purpose of this paper is to study the influence of Zr content on immersion and electrochemical corrosion behavior of Zr-containing Ti-based (TiZr) alloys.

The phase analysis of as-cast TχZAB alloys was carried out using X-ray diffraction. The microstructure of corrosion surfaces of the samples was observed using optical metallographic microscopy and scanning electron microscopy, equipped with energy dispersive spectroscopy.

The immersion test reveals that the corrosion is alleviated in the presence of a high amount of Zr, whereas pitting corrosion occurs when the Zr content is up to 40 Wt.%. Furthermore, the electrochemical analysis demonstrates that the corrosion resistance TiZr alloys is improved with increasing Zr content.

The TiZr alloys are promising candidates for high-end applications because of their excellent comprehensive properties. These alloys are usually used in marine or other harsh corrosive environments; therefore, it is essential to study their corrosion behavior.