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This study investigates drivers and dynamics of preferences for brand prominence among the Chinese little emperors (LEs) residing in the US, a unique but powerful consumer group with dual-cultural characteristics.

Using an online survey, the proposed model was tested with a convenience sample of the Chinese LE generation residing in the US

Susceptibility to normative influence was a significant cultural driver of conspicuous, social, and unique value perceptions of luxury consumption among the Chinese LE generation residing in the US Perceived conspicuous and social values of luxury consumption were the primary drivers of this group's brand prominence preference for luxury fashion bags. However, perceived unique value of luxury consumption did not necessarily lead these consumers to prefer prominent logos or marks on a luxury bag. Furthermore, sociodemographic factors (gender, age, and time lived in the US) significantly affected perceptions and preferences related to luxury consumption among this consumer group.

This study advances the luxury literature by examining the drivers and dynamics of brand prominence preference among the Chinese LE generation residing in the US By testing the role of different sociodemographic factors, we demonstrate heterogeneity within this group and the evolving nature of their perceptions and preferences related to luxury consumption as they are acculturated to Western culture. We used a convenient sample and focused on luxury fashion bags for measuring preference for brand prominence, limiting the generalizability of the findings.

Luxury brands should effectively convey conspicuous and social values in product designs, advertising and promotions as these values play integral roles in determining the Chinese LE generation's preference for brand prominence. Our findings also highlight the importance of fine-tuned approaches to different segments within the LE generation cohort.

This study fills several gaps in the luxury literature by empirically investigating various factors affecting preference for brand prominence among the Chinese LE generation residing in the US, an important but under-researched luxury segment.

Social loafing in knowledge contribution (namely, knowledge contribution loafing [KCL]) usually happens in group context, especially in the mobile collaboration tasks. KCL shows dynamic features over time. However, most previous studies are based on static assumption, that is, KCL will not change over time. This paper aims to reveal the dynamics of KCL in mobile collaboration and analyze how network centrality influences KCL states considering the current loafing state.

This study is based on empirical study design. Real mobile collaboration behavioral data related to knowledge contribution were collected to investigate the dynamic relationship between network centrality and KCL. In total, 4,127 chat contents were collected through Slack (a mobile collaboration APP). The text data were first analyzed using the text analysis method and then analyzed by a machine learning method called hidden Markov model.

First, the results reveal the inner structure of KCL, showing that it has three states (low, medium and high). Second, it is found that network centrality positively influences individuals involved in medium and high loafing state, while it has a negative influence on individuals with low loafing state.

The limitations are related to the single machine learning method and no subdivision of social network. First, this paper only uses one kind of text classification model (TF-IDF) to divide chat contents, which may not be superior to other classification models. This paper considers the eigenvector centrality, and not further divides the social network into advice network and expressive network.

This study helps companies infer tendency of different KCL and dynamically re-organize a mobile collaborative team for better knowledge contribution.

First, previous studies based on static assumptions regarding KCL as static and the relationship between loafing reducing mechanisms and team members KCL does not change over time. This study relaxes static assumptions and allows KCL to change during the process of collaboration. Second, this study allows the impact of network centrality to be different when members are in different KCL states.

In an intelligent transportation system (for short, ITS) environment, a vehicle’s motion is affected by the information in a large scale. The purpose of this paper is to study the integration effect of multiple vehicles’ delayed velocities on traffic flow.

This paper constructed a new car-following model to study the integration effect of multiple vehicles’ delayed velocities on traffic flow. The new model is analyzed by linear and nonlinear perturbation method theoretically and also verified by simulation.

It is found out that the integration of preceding vehicles’ delayed velocities affect the stability of traffic flow importantly, and three preceding vehicles’ delayed velocities information should be considered in real traffic.

The new car-following model by considering the integration effect of multiple vehicles’ delayed velocities is firstly proposed in this paper. The research result shows that three preceding vehicles’ delayed velocities information is the best choice to stabilizing traffic flow.

The purpose of this paper is to develop a theoretical model of a jump diffusion-mean reversion constant proportion portfolio insurance strategy under the presence of transaction cost and stochastic floor as opposed to the deterministic floor used in the previous literatures.

The paper adopts Merton’s jump diffusion (JD) model to simulate the price path followed by risky assets and the CIR mean reversion model to simulate the path followed by the short-term interest rate. The floor of the CPPI strategy is linked to the stochastic process driving the value of a fixed income instrument whose yield follows the CIR mean reversion model. The developed model is benchmarked against CNX-NIFTY 50 and is back tested during the extreme regimes in the Indian market using the scenario-based Monte Carlo simulation technique.

Back testing the algorithm using Monte Carlo simulation across the crisis and recovery phases of the 2008 recession regime revealed that the portfolio performs better than the risky markets during the crisis by hedging the downside risk effectively and performs better than the fixed income instruments during the growth phase by leveraging on the upside potential. This makes it a value-enhancing proposition for the risk-averse investors.

The study modifies the CPPI algorithm by re-defining the floor of the algorithm to be a stochastic mean reverting process which is guided by the movement of the short-term interest rate in the economy. This development is more relevant for two reasons: first, the short-term interest rate changes with time, and hence the constant yield during each rebalancing steps is not practically feasible; second, the historical literatures have revealed that the short-term interest rate tends to move opposite to that of the equity market. Thereby, during the bear run the floor will increase at a higher rate, whereas the growth of the floor will stagnate during the bull phase which aids the model to capitalize on the upward potential during the growth phase and to cut down on the exposure during the crisis phase.

The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field.

To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals.

The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data.

This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research.

To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.

A lack of reliable and effective communication tools poses major barriers impeding the performance of construction projects consisting of diverse participants. Although some construction project teams (CPTs) begin to apply social media (SM) as an available approach for project management the entire mechanism of SM adoption in this specific context remains understudied. Therefore, this study aims to adopt a CPT's lens to investigate the critical antecedents and associated effects underlying SM adoption in the construction industry.

Based on the technology–organization–environment (TOE) theory, a conceptual model was proposed and tested by empirical data collected from 159 CPTs in China. Structural equation modeling technique was employed for data analysis.

The results demonstrate that all the five extracted TOE-based antecedents including two technological factors (i.e. compatibility and expected cost), one organizational factor (i.e. top management support) and two environmental factors (i.e. project partner collaboration and project fit) are crucial to the adoption of SM in CPTs. Besides, SM acceptance is found to mediate the relationships between organizational and environmental factors and SM use. Moreover, SM use significantly predicts the communication effectiveness of CPTs.

A questionnaire study based on cross-sectional data from China may only unveil the logic of SM adoption in the context of Chinese construction industry within a shorter time interval. It is recommended that future research could develop longitudinal studies among various construction practitioners in different countries to further specify and generalize the current findings.

This paper provides a comprehensive understanding of SM adoption in the construction industry by exploring the preadoption antecedents and postadoption effects from the perspective of project teams. The empirical findings advance the current web-based project management literature and afford new insights for construction practitioners into better managing SM application to reap its full capabilities in projects.

Although social media has been increasingly applied and valued in the construction industry, there has been little evidence revealing the influence mechanism of social media use in the construction context. In this way, this paper aims to explore how different purposes of social media use affect project performance from a project manager's perspective.

Drawing on the mechanism–outcome–performance framework, this paper developed a research model to figure out the mechanism through which work-oriented and socialization-oriented social media use influences construction project performance. The empirical data were collected from a survey of 249 construction project managers, and the structural equation modeling technique was applied to test the proposed model.

Results indicate that both work-oriented and socialization-oriented social media use promote knowledge acquisition and project social capital, which both further positively impact the project performance. Additionally, the negative moderating role of information overload is identified on the relationship between social media use and knowledge acquisition.

This study fulfills the need for an in-depth investigation of social media use on construction project performance, contributing to the project management and social media literature. Furthermore, this study provides recommendations for project managers to advance social media applications in the construction domain.

Although social media use at work has made great impact on employee work performance, little is known about the effect of social media use at work on construction employees, especially construction managers. In this way, the purpose of this study aims to investigate the impact of social media use at work on construction managers' work performance based on the enabler-process-intermediate outcome-performance framework.

This study adopts the knowledge seeker's perspective to empirically investigate the mechanism through which social media use at work impacts construction managers' work performance. Questionnaire survey was conducted with 210 construction managers to test the research model proposed in this study. A component-based structural equation modeling technique was employed to analyze the data.

Results show that social media use at work positively influences knowledge acquisition both internally and externally, and knowledge acquisition promotes task self-efficacy and creativity, which in turn improve construction managers' work performance. In addition, the interaction of task self-efficacy and creativity is found to negatively influence work performance.

These findings contribute to a comprehensive understanding about the impact of social media use at work on construction managers' work performance. This research also provides informative insights for practitioners on how to improve work performance.

Multicultural teacher education (MTE), self-efficacy and satisfaction are all important for teachers, especially as they relate to their engagement in practices that are beneficial for culturally and linguistically diverse children. Yet it remains to be seen how these important constructs work together to predict teaching practices once teachers enter the field. The purpose of this paper is to explore how MTE, teacher efficacy, teacher satisfaction and culturally responsive teaching (CRT) practices are related among early childhood teachers.

Specifically, the paper will address the connections between these variables via a path analysis. Previously collected data from 105 public early childhood teachers (PreK-2) in a single county in the Southeast United States was analyzed for the study.

Results suggest that CRT in early childhood is a three-faceted construct with teacher efficacy having a direct effect on all dimensions of CRT and teacher satisfaction having a direct effect on two dimensions of CRT. MTE did not have any direct effect on teacher efficacy, teacher satisfaction or CRT.

This paper contributes to the literature in that it is especially necessary to examine how teacher education influences teachers’ efficacy and practices with culturally and linguistically diverse students. There is limited research on how these variables work together in the early childhood setting.

Purpose – This chapter aims to explore the strategies used by the Hong Kong government to respond to the adult worker model and the male-breadwinner model; and to explore the views of women on the desirability of these strategies. The male-breadwinner model posits that men work full-time outside the home and women take on domestic work. The adult worker model suggests that women and men should be equally expected to participate in formal employment.

Design/methodology/approach – This chapter analyses the policy measures used by the Hong Kong government to support women in their participation in formal employment and the local work-based pension scheme (the Mandatory Provident Fund) as well as other policy measures that offer potential for enabling family care providers to accumulate resources for secure retirement. Additionally, it draws on semi-structured interviews with 30 Hong Kong young women to examine their views on the extent to which the government supports them to save pension incomes.

Findings – This study shows that the Hong Kong government uses a ‘weak action strategy’ to respond to the adult worker model and the male-breadwinner model, and that this strategy fails to meet women’s diverse preferences for their roles in the labour market and the family.

Originality/value – Based on a newly developed framework, this study examines the responses made by the government to both the male-breadwinner model and the adult worker model. It sheds new insights into possible ways of assisting women to achieve secure retirement .