Search results

This study aims to examine the role of face consciousness, materialism and risk of embarrassment in determining consumer purchase intention toward counterfeit luxury brand. In addition, the authors explore boundary conditions of these relationships.

Study 1, a survey research (N = 321), examines the mediating role of risk of embarrassment between face consciousness on the purchase intention toward luxury counterfeits. Study 2 (N = 345), an experimental study, examines the moderating role of brand prominence of counterfeit (i.e. whether it contains prominent brand signals). Study 3 (N = 315) explores how the above-mentioned relationships are moderated by consumers’ moral rationalization (i.e. whether consumers seek rationalization when behaving unethically).

First, this research shows that risk of embarrassment mediates the negative relationship between face consciousness and Chinese consumers’ purchase intention toward luxury counterfeits, whereas this relationship was not found between materialism and counterfeit purchase intentions. Second, this negative mediating effect holds only when the counterfeit brand is highly prominent. Third, the mediating effect depends on consumers’ moral rationalization, with a positive impact on the purchase intention toward luxury counterfeits, regardless of brand prominence.

This study represents a preliminary inquiry into the dynamics between face consciousness and materialism in influencing Chinese consumers’ purchase intention toward counterfeit luxury products. Unlike their Western counterparts, whose materialistic views of possessions predict their counterfeit luxury consumption (Davidson et al., 2019), Chinese consumers are more likely to be driven by the social implications of counterfeit luxury to communicate a prestigious social image to others on account of genuine luxuries’ high social recognition.

While Chinese consumers are one of the most potent global luxury buyers, they are immersed in the world’s biggest counterfeit luxury market. By digging into the core value of Chinese consumers (i.e. face consciousness), this research provides a number of managerial implications for luxury goods companies to engage in international efforts to educate consumers against counterfeit luxury.

This study makes at least three contributions to the counterfeit consumption literature. First, this study represents a preliminary inquiry into the dynamics between face consciousness and materialism in influencing Chinese consumers’ purchase intention toward counterfeit luxury products. Second, this research identified the complex mechanism of face consciousness as an independent variable on consumers’ purchase intention toward luxury counterfeits. Finally, the authors examined the boundary conditions of brand prominence and consumers’ moral rationalization. The findings may help luxury brand managers identify strategies to discourage counterfeit consumption.

The authors empirically examined social capital factors affecting patients' social support acquisition with the aim of providing guidance to patients seeking social support online.

The authors used social network analysis to extract data about social capital factors from online health communities and text mining to identify forms of informational support and emotional support grounded in online, text-based communication. Moreover, the authors employed a random coefficient model to understand the dynamic influence of social capital factors on both informational and emotional support.

The results from the empirical analyses show that structural connections have a lasting impact on the acquisition of both types of support; that is, social connections developed in the past will have an effect on the future. For relational capital, strong ties were less important; the quantity of connections mattered more than the quality when acquiring informational support. The use of health-related language increased the amount of informational support acquired. Over time, patients gained increasing social support, which primarily came from the patients' historical threads, likely via searches from peers facilitated by accumulated social capital.

The authors' research adds to the literature on social capital and social support in online health communities by exploring how the three dimensions of social capital affect social support acquisition. The authors' research also contributes to the online health care literature by examining social support from a dynamic perspective. Practically, the authors' findings provide guidance for patients on what decisions to make to acquire more social support.

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.

In the hybrid knowledge-sharing platform where paid and nonpaid (“free”) knowledge activities coexist, users’ free knowledge contribution may be influenced by financial factors. From the perspective of opportunity cost, this study investigates the direct effect of how the amount of monetary income from users’ contribution to paid knowledge activities influences their free knowledge contribution behavior in the future. Further, this study aims to verify the interaction effect of financial and nonfinancial factors (i.e. the experience of free knowledge contribution and social recognition) on free knowledge contribution.

Objective data was collected from a hybrid knowledge-sharing platform in China and then analyzed by using zero-inflated negative binomial regression model.

Results show that the amount of monetary income that knowledge suppliers gain from paid knowledge contribution negatively influences their free knowledge contribution. Experience of free knowledge contribution strengthens the negatively main effect, while social recognition has the weakening moderating role.

Although some studies have explored and verified the positive spillover effect of financial incentives on free knowledge contribution, the quantity dimension is ignored. This study examines the hindering influence of the quantity of monetary income from the perspective of opportunity cost. By taking the characteristic of knowledge suppliers and platforms as moderators, this study deepens the understanding of the influence of monetary income on free knowledge contribution in the hybrid knowledge-sharing platform.

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.

High turnover of project managers is a common phenomenon in the construction industry, which has a negative impact on the productivity and performance of construction firms. The study investigates the mechanisms of person-environment fit on turnover intention of construction project managers and the mediating role of job embeddedness. The authors also tested the moderating role of perceived organizational support in the influence of job embeddedness on turnover intention.

The data were collected from managers of 62 construction and infrastructure projects in Wuhan. Based on person-environment fit theory, job embeddedness theory and social exchange theory (SET), the authors employ structural equation modeling (SEM) to examine the hypotheses.

Results show that if project managers are not well-fitted with the environment of organizations, it reduces their embeddedness in jobs, which in consequence makes them more inclined to leave. Job embeddedness mediates the relationship between person-environment fit and turnover intention. In addition, the authors validated the moderating effect of perceived organizational support, showing that the higher the employee's job embeddedness, the lower the employee's turnover intention.

Construction companies can retain project managers and stabilize management teams through effective management strategies, thus effectively reducing the separation costs of construction companies.

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.

Despite the documented benefits of voice behavior for projects, little is known about antecedents of voice behavior in the project context, especially construction projects. Against this background, adopting a multi-team system perspective, this study attempts to investigate antecedents of team voice behavior from a contextual view.

This study identifies and examines six factors that influence team voice behavior. Specifically, project urgency, project temporality, and project complexity are identified from the project nature perspective. Satisfaction, trust, and commitment are generated from the relationship quality approach. Then, data from completed construction projects in China was collected to verify the effectiveness of these factors. Besides, the partial least squares structural equation modeling (PLS-SEM) technique was used in this study.

All six factors are found to be significant predictors of promotive team voice behavior. For prohibitive team voice behavior, only project complexity and project commitment make significant effects. Further, the differential effects of these factors on two types of voice behavior are revealed.

This study contributes to the literature on voice behavior in the project context, especially construction projects consisting of multiple teams. Also, this research enriches our knowledge on antecedents of team voice behavior in construction projects and thus affords practical implications to foster voice behavior.