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The purpose of this paper is to calculate the Hugoniot relations of polyurea; also to investigate the atomic-scale energy change, the related chain conformation evolution and the hydrogen bond dissociation of polyurea under high-speed shock.

The atomic-scale simulations are achieved by molecular dynamics (MD). Both non-equilibrium MD and multi-scale shock technique are used to simulate the high-speed shock. The energy dissipation is theoretically derived by the thermodynamic and the Hugoniot relations. The distributions of bond length, angle and dihedral angle are used to characterize the chain conformation evolution. The hydrogen bonds are determined by a geometrical criterion.

The Hugoniot relations calculated are in good agreement with the experimental data. It is found that under the same impact pressure, polyurea with lower hard segment content has higher energy dissipation during the shock-release process. The primary energy dissipation way is the heat dissipation caused by the increase of kinetic energy. Unlike tensile simulation, the molecular potential increment is mainly divided into the increments of the bond energy, angle energy and dihedral angle energy under shock loading and is mostly stored in the soft segments. The hydrogen bond potential increment only accounts for about 1% of the internal energy increment under high-speed shock.

The simulation results are meaningful for understanding and evaluating the energy dissipation mechanism of polyurea under shock loading, and could provide a reference for material design.

This paper aims to solve the facility location problem of mobility industry call centers comprehensively, considering both investment efficiency and long-term development efficiency.

In this paper, a two-phase decision-making approach within a multi-criteria decision-making (MCDM) framework has been proposed to help select optimal locations among various alternate locations. Both quantitative and qualitative information is collected and processed based on fuzzy set theory and fuzzy analytic hierarchy process. Then the fuzzy technique for order preference by similarity to an ideal solution method is incorporated in the framework to assess the overall feasibility of all alternates.

A real case of a mobility giant in China is applied to verify the effectiveness of the proposed framework. Sensitivity analysis also proves the robustness of the framework.

This two-phase MCDM framework allows the mobility industry call center location to be selected considering economic, human resource and sustainability elements comprehensively. The framework proposed in this paper might be applicable to other companies in the mobility industry when deciding optimal locations of call centers.

This paper aims to explore the effects of director network on open innovation. As an informal institutional arrangement, the director network is an important source for the enterprise to obtain external information, which provide resource basis for open innovation. Chief Executive Officer (CEO) as the top of management team could make short-sighted decisions for personal interests; this paper also investigates the moderating role of CEO short-sightedness between director network and open innovation.

This paper takes 4,102 Chinese listed companies from 2007 to 2020 as the research sample. By introducing network centrality and structural hole to measure director network and using data mining to extract key words related to CEO short-sightedness from annual reports, this paper constructs several multiple linear regression models to analyze the impact of director network on open innovation and the moderating role of CEO short-sightedness.

The analysis finds that director network can facilitate corporate open innovation. Enterprises can acquire more external resources in high centrality and structural hole of director network and promote ability for corporate open innovation. The relationship between director network and open innovation is negatively moderated by CEO short-sightedness. When the level of corporate governance and analyst attention is high, the negative effect of CEO short-sightedness on the innovation effect of directors’ networks is suppressed.

This is the first empirical paper to investigate the promotion effect of director network on open innovation as well as the negative moderating role of CEO short-sightedness. The findings bring new perspectives to the open innovation and enlightenments for practical activities from social relationship aspect.

To summarise the findings from research in adopting and diffusing knowledge management systems.

The approach is a summary of the study findings and a discussion of these.

The findings explain the adoption and diffusion of a KMS in an organization. These include: perceived usefulness has a positive relationship with an organization embarking on a KMS; people's decision to accept and use a KMS is directly determined by perceived user‐friendliness and perceived voluntariness; and the KMS diffusion process takes place in six stages.

This study tested the entire research model. In the future, parts of the model could be extracted and investigated in detail.

The results have significant implications for managerial practices, including the need for a KMS; the cost of a KMS; significant factors of KMS adoption and diffusion; end‐user focus and involving people in the KMS; and organizational adjustment to embrace the KMS.

The study develops and tests a comprehensive model of KMS adoption and diffusion.

Online aggression represents a serious, and regularly occurring, social problem. In this piece the authors consider derogatory, harmful messages on the social media platform, Twitter, that target one of three groups of women, Asians, Blacks, and Latinx. The research focuses on messages that include one of the most common female slurs, “b!tch.” The findings of this chapter reveal that aggressive messages oriented toward women of color can be vicious and easily accessible (located in fewer than 30 seconds). Using an intersectional approach, the authors note the distinctive experiences of online harassment for women of color. The findings highlight the manner in which detrimental stereotypes are reinforced, including that of the “eroticized and obedient Asian woman,” the “angry Black woman,” and the “poor Latinx woman.” In some exceptions, women use the term “b!tch” in a positive and empowering manner, likely in an attempt to “reclaim” one of the common words used to attack females. Applying a social network perspective, we illustrate the tendency of typically hostile tweets to develop into interactive network conversations, where the original message spreads beyond the victim, and in the case of public individuals, quite widely. This research contributes to a deeper understanding of the processes that lead to online harassment, including the fortification of typical norms and social dominance. Finally, the authors find that messages that use the word “b!tch” to insult Asian, Black, and Latinx women are particularly damaging in that they reinforce traditional stereotypes of women and ethno-racial minorities, and these messages possess the ability to extend to wider audiences.

This paper aims to focus on the diffusion process of Knowledge management systems (KMSs). Specifically, to identify the sequence of stages of the process.

The paper presents a six‐stage model of the KMS diffusion process. It then provides an empirical test of the sequence of steps in the KMS diffusion process in Australia. Structural equation modelling using LISREL is used as the analytical tool for the empirical test.

The results show that all the hypotheses related to the sequence of the KMS diffusion process are significant. This is an important and significant finding. It clearly demonstrates how KMS adoption and diffusion should be planned in Australian organizations.

The research identifies six stages of KMS diffusion based on the results from selected Australian companies: initiation, adoption, pilot implementation, organic growth, organizational implementation, and sustained use/diffusion of KMS.

Diffusion (spread in usage) of knowledge management systems (KMSs) depends on a number of factors. Among them perceptions of KMS, including perceived usefulness/benefits, perceived user‐friendliness, perceived voluntary use and subject norms are significant factors. This paper aims to investigate the factors impacting the diffusion (spread and sustained use) of KMSs.

This paper first presents an integrated model of the diffusion of KMSs arising from a comprehensive literature review and qualitative field study. An empirical pilot study was then undertaken to test the model through a questionnaire‐based survey.

The pilot study had some interesting findings – results similar to those found in the literature – which are presented in detail.

This paper contributes to the information on KMS by providing results from an empirical pilot study and suggesting future research directions.

This study examined the antecedents and consequences of intensity of SNS use in a cross-cultural context. The purpose of this paper is to examine the impacts of three IT-related consumer characteristics – privacy concern, consumer innovativeness and propensity to share information – on the use of social networking sites (SNS) and examine if there are cross-national differences in the relationships between consumer characteristics and SNS use.

The authors developed and tested a structural equation model including consumer characteristics related to SNS usage, by using survey data of 977 SNS users in Korea and the US.

Consumer innovativeness, propensity to share information and privacy concern affected intensity of SNS use and the usage of SNS enabled social capital. In addition, the effects of innovativeness and privacy concern on the intensity of SNS use were greater in the US sample than in the Korean sample. People in the culture of high peer pressure and herding behavior tend to expect more reciprocity in social surveillance, especially among in-group members because they are interested in tracking others in the group. This tendency might alleviate the negative impact of privacy concern on the intensity of SNS use. The positive impact of innovativeness on the intensity of SNS use was alleviated in the collectivism culture. This is maybe because the imitation factor predicts the adoption behavior better than the innovation factor in the collectivism culture.

Despite several notable contributions, this study has a few limitations, which may be overcome by further research. First, this study did not considered many other personality variables. Second, most measurements were retrospective, depending on the respondents’ memory of past shopping behavior. Third, an experimental study will be needed to obtain more accurate effects of the antecedents on the intensity of SNS use in the next stage. Fourth, there are sample limitations in the study. Although this study has some limitations, it also provides very meaningful implications. For example, both the positive impact of innovativeness and the negative impact of privacy concerns on the intensity of SNS use were alleviated in the collectivistic culture.

This finding implies that SNS in the collective culture should focus more on group behavior than individual behavior in order to promote SNS use. In addition, it is an effective strategy to emphasize the innovative function of SNS in individualism culture. As privacy concern is not big problem of SNS usage in collectivism culture, it is an effective strategy to stimulate the needs of in-group surveillance.

The study contributes to the literature examining cross-cultural influence on SNS use. The study presents how consumer characteristics interact with culture in order to explain the intensity of SNS use.