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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.

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.

Although India is home to the world’s largest millennial population, so far, hardly any studies exist that explain the key drivers leading to the luxury goods consumption among this generational cohort. Therefore, the purpose of this paper is twofold: first, to develop and empirically test the conceptual framework designed to measure the relationship between luxury value perceptions and purchase intentions among the young Indian luxury consumers, and, second, to examine the moderating effect of gender in the relationship between luxury value perceptions and purchase intentions.

A purposive sampling technique was employed to collect the data from young luxury fashion consumers. Statistical tests including confirmatory factor analysis, multi-group analysis and structural equation modeling were applied for data analysis.

The findings show that the conspicuous value is the most significant determinant of luxury purchase intention followed by the experiential value, susceptibility to normative influence and utilitarian value. The uniqueness value was found to have weak relationship with purchase intention. Furthermore, results revealed that the relationship between the luxury values and the luxury buying intentions does not vary significantly between male and female.

This is one of the first studies that provides meaningful insights to the academicians and marketing practitioners about why millennials buy luxury fashion brands in emerging markets like India.

Despite the growing research regarding consumer luxury value perception and their influence on luxury consumption behavior in different cultural contexts, there is little research investigating the cultural variation toward luxury within different generations in a given society. The purpose of this paper is to assess the relationships among Confucian propriety, luxury value perception, and purchase intention of luxury brands, and especially how these relationships differ between young and older consumers in a Chinese context.

Data were collected through a questionnaire survey in China. A multi-group structural equation model was used to test the conceptual model and research hypotheses.

The results show that the effects of functional value and social value on purchase intention of luxury brands are stronger for older generations than younger ones, while the effects of self-identity and hedonic value on purchase intention are stronger for younger generations than older ones. The Confucian propriety relates positively to the functional value and social value; however, these effects are more salient for older consumers.

The results of this study reveal the evolution of luxury consumption values and behaviors of Chinese consumers, suggesting that marketers should no longer label Chinese luxury consumers with common behaviors. It is also recommended that marketers of luxury brands in China should adapt this shifting attitude and respond actively to the expectations of different generations.

The purpose of this paper is to investigate the relationship between environmental reporting and corporate governance attributes of companies in Australia.

The paper adopts a quantitative analysis approach. It examines the 2008 annual reports of the largest 100 Australian firms listed on the Australian Stock Exchange (ASX) to determine the amount of environmental reporting – these data are compared with various corporate governance measures.

Analysis found a significant positive relationship between the extent of environmental reporting and the proportions of independent and female directors on a board. The analysis did not, however, support a negative relationship between the extent of environmental reporting and institutional investors and board size as has been previously predicted, rather, it showed a positive relationship.

This paper offers insights to both regulators and company strategists. Regulators such as the Australian Stock Exchange (ASX) could consider expanding its Corporate Governance Council guidelines to include consideration of the environment, which is increasingly considered to be an important aspect of corporate social responsibility, and one of the responsibilities of the board of directors. In addition, for companies which include a commitment to the environment in their mission and strategies, it suggests consideration of the impact of board structure and composition is important as both of these are shown to have a significant effect on the amount of environmental information disclosed by companies.

This paper aims to address the polymerization of 1-decene by [Emim]Cl/AlCl₃ ionic liquid and the film-forming properties of the product compared with commercially available base stocks.

Experiments were carried out to investigate the influence of [Emim]Cl/AlCl₃ mole ratio, catalyst dosage, reaction temperature, reaction time and water on the polyreaction. Poly alpha-olefin (PAO) is prepared under optimal reaction condition. Film-forming properties of PAO have been compared with those of Group I, Group II and Group III base stocks, which are selected with approximately the same viscosity.

Experimental results show that after a 4-h reaction time, yield of PAO can be higher than 85 per cent and viscosity index can be up to 160 with [Emim] Cl/AlCl₃ mole ratio of 2:1, catalyst dosage of 3 per cent wt. and water content of 20 ppm. A strong influence of water on reaction is observed. With approximately the same viscosity, PAO shows the superiority in film thickness at low-sliding speeds compared with Group I and Group II base stocks. At high temperature, PAO provides a thicker film than other base stocks.

In recent years, there has been considerable interest in ionic liquids. As a novel catalyst, it has so many advantages including low corrosion, low toxicity, low cost and a potentially wide range of properties compared with traditional catalysts. This paper reports the polymerization of 1-decene by [Emim]Cl/AlCl₃ ionic liquid and the study on lubricating properties of PAO compared with mineral base stocks.