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This study investigates how the maximum cultural intelligence (Max CQ) within a team – defined as the highest cultural intelligence level of an individual member – affects intra-team communication, conflict dynamics and, ultimately, team satisfaction and performance in global virtual teams (GVTs).

Utilizing quantitative research methods, this investigation draws on a dataset comprising 3,385 participants, which forms a total of 686 GVTs.

The study reveals that MaxCQ significantly enhances team communication, which in turn mitigates conflict, increases satisfaction and improves performance. It is noteworthy that the influence of MaxCQ on GVT success is more significant than the average cultural intelligence (CQ) of team members, providing critical insights for effective GVT management strategies.

The findings suggest that managers may optimize team dynamics not by uniformly increasing each member’s CQ but by concentrating on maximizing the CQ of one individual who can act as an influencer within the team. Strategically placing individuals with high CQ in GVTs can enhance overall team function.

While existing literature primarily examines the individual effects of CQ on communication and conflict management, this study sheds light on the collective interplay between MaxCQ, communication and conflict. It highlights the importance of MaxCQ, along with the frequency of team communication and conflict, in influencing team satisfaction and performance in GVTs.

The purpose of this study is to examine the effect of perceived value of recommended product on consumer’s e-loyalty, based on the proposition of expectation confirmation theory. Vendors’ reputation is tested as the mediator in the perceived value of recommended product and e-loyalty relationship, whereas shopping enjoyment is predicted as the moderator that conditions the perceived value of recommended product and e-loyalty relationship through vendors reputation.

Data were collected via an online survey platform and through a QR code. Partial least squares analysis, confirmatory factor analysis and structural equation modeling were used to verify the research proposed model.

The findings revealed that the perceived value of recommended product had a significant positive effect on E-loyalty; in addition, the perceived value of the recommended product and e-loyalty link was partly explained by e-shopper’s confidence in vendor reputation. Therefore, the study established that the direct and indirect relationship between the perceived value of the recommended product and e-loyalty was sensitive and profound to shopping enjoyment.

This study has established that the perceived value of a recommended product can result in consumer loyalty. This has successively provided the e-shop manager and other stakeholders with novel perspectives about why it is necessary to understand consumers’ pre- and postacquisition behavior before recommending certain products to the consumer.

The purpose of this paper is to present a 2.5-dimensional (2.5-D) frequency-domain nonlinear computer model for the beam-wave interaction of coupled-cavity traveling wave tubes (CC-TWTs).

MKK (proposed by Malykhin, Konnov, and Komarov) equivalent circuit model is used to describe the coupled-cavity slow-wave structure. And the losses are taken into account in the MKK equivalent circuit. Instead of one-dimensional (1-D) disk model, the electron beam is divided into a set of discrete rays and the electron dynamics are treated using the three-dimensional (3-D) Lorentz force equations.

The simulated result obtained show that the computer model can give a good predict for CC-TWTs in V-band.

The computer model is capable of treating nonlinear problems. Compared with particle-in-cell simulation, the 2.5-D frequency-domain computer model spends less time. Besides, the 3-D electron trajectory can be used to design high-efficiency collectors for CC-TWTs.

The computer model is able to simulate nonlinear problems of coupled-cavity TWT faster.

The purpose of this paper is to attempt to investigate the relationship between human resource management (HRM) competency and firm performance. Drawn upon the resource-based view and alignment theory, HRM competency is expected to be related to the adoption of high performance work systems (HPWS) and the achievement of external fit in HRM, which in turn contribute to firm performance.

The data for this study were collected via a survey of in 157 Chinese enterprises located in the high technology development zone of three large cities. Two different respondents from each firm provided information about organizational characteristics, HRM policy and practices, and firm performance. Multiple regressions were used to test the hypotheses.

Results indicate that HRM competency has a significant and positive effect on firm performance. Such an effect is found to be mediated by the achievement of external fit, but not the adoption of HPWS.

Limitations of the study include cross-sectional data, perceptual measure of firm performance, omission of external variables, and restricted sample. This study highlights the importance of HRM competency in strategic HRM, and provides evidence about how this construct is linked to firm performance.

This is the first study that explores the effect of HRM competency on the adoption of HPWS and the achievement of external fit. It further reveals that the achievement of external fit mediates the relationship between HRM competency and firm performance, and hence contributes to the HRM literature.

The paper aims to clarify the importance of the psychological processing of contextual cues in the mining of individual attention resources. In recent years, the research of more open spatial perspective, such as spatial and scene perception, has gradually turned to the recognition of contextual cues, accumulating rich literature and becoming a hotspot of interdisciplinary research. Nevertheless, besides the fields of psychology and neuroscience, researchers in other fields lack systematic knowledge of contextual cues. The purpose of this study is to expand the research field of contextual cues.

We retrieved 494 papers on contextual cues from SCI/SSCI core database of the Web of Science in 1992–2019. Then, we used several bibliometric and sophisticated network analysis tools, such as HistCite, CiteSpace, VOSviewe and Pajek, to identify the time-and-space knowledge map, research hotspots, evolution process, emerging trends and primary path of contextual cues.

The paper found the core scholars, major journals, research institutions, and the popularity of citation to be closely related to the research of contextual cues. In addition, we constructed a co-word network of contextual cues, confirming the concept of behavior implementation intentions and filling in the research gap in the field of behavior science. Then, the quantitative analysis of the burst literature on contextual cues revealed that the research on it that focused more on multi-objective cues. Furthermore, an analysis of the main path helped researchers clearly understand and grasp in the development trend and evolution track of contextual cues.

Given academic research usually lags behind management practice, our systematic review of the literature to a certain extent make a bridge between theory and practice.

The study examines health care inequities in viral load testing among hepatitis C (HCV) antibody-positive patients. The analysis predicts whether individual and census tract sociodemographic characteristics impact the likelihood of viral load testing.

This a study of 26,218 HCV antibody-positive patients in Orange County, California, from 2010 to 2020. The case data were matched with the 2017 American Community Survey to help understand the role of neighborhood socioeconomic characteristics in testing for viral load. Multivariable logistic regression was used to predict the probability of ever testing for HCV viral load.

Thirty-six percent of antibody-positive persons were never viral load tested. The results show inequalities in viral load testing by sociodemographic factors. The following groups were less likely to ever test for viral load than their counterparts: (1) individuals under 65 years old, (2) females, (3) residents of census tracts with lower levels of health insurance enrollment, (4) residents of census tracts with lower levels of government health insurance, and (5) residents of census tracts with a higher proportion of non-white residents.

This is a secondary database from public health department reports. Using census tract data raises the issue of the ecological fallacy. Detailed medical records were not available. The results of this study emphasize the social inequality in viral load testing for HCV. These groups are less likely to be treated and cured, and may spread the disease to others.

This chapter is unique as it combines routinely collected public health department data with census tract level data to examine social inequities associated with lower rates of HCV viral load testing.

The purpose of this paper is to analyse the results of energy audit reports and defines most favourable characteristics of system, which is energy consumption of buildings, and most favourable factors affecting these characteristics in order to modify and improve them.

Grey set theory has the advantage of using fewer data to analyse many factors, and it is therefore more appropriate for system study rather than traditional statistical regression which requires massive data, normal distribution in the data and few variant factors. So, in this paper grey clustering and entropy of coefficient vector of grey evaluations are used to analyse energy consumption in buildings of the Oil Ministry in Tehran. Grey clustering in this study has been used for two purposes: First, all the variables of building relate to energy audit cluster in two main groups of indicators and the number of variables is reduced. Second, grey clustering with variable weights has been used to classify all buildings in three categories named “no standard deviation”, “low standard deviation” and “non-standard”. Entropy of coefficient vector of grey evaluations is calculated to investigate greyness of results.

According to the results of the model, “the real building load coefficient” has been selected as the most important system characteristic and “uncontrolled area of the building” has been diagnosed as the most favourable factor which has the greatest effect on energy consumption of building.

Clustering greyness of 13 buildings is less than 0.5 and average uncertainly of clustering results is 66 per cent.

It shows that among the 38 buildings surveyed in terms of energy consumption, three cases are in standard group, 24 cases are in “low standard deviation” group and 11 buildings are completely non-standard.

In this research, a comprehensive analysis of the audit reports is proposed. This analysis helps the improvement of future audits, and assists in making energy conservation policies by studying the behaviour of system characteristic and related factors.

The purpose of this paper is to apply recurrent neural networks (RNNs) and more specifically long-short term memory (LSTM)-based ones for mental task classification in terms of BCI systems. The authors have introduced novel LSTM-based multichannel architecture model which proved to be highly promising in other fields, yet was not used for mental tasks classification.

Validity of the multichannel LSTM-based solution was confronted with the results achieved by a non-multichannel state-of-the-art solutions on a well-recognized data set.

The results demonstrated evident advantage of the introduced method. The best of the provided variants outperformed most of the RNNs approaches and was comparable with the best state-of-the-art methods.

The approach presented in the manuscript enables more detailed investigation of the electroencephalography analysis methods, invaluable for BCI mental tasks classification.

The new approach to mental task classification, exploiting LSTM-based RNNs with multichannel architecture, operating on spatial features retrieving filters, has been adapted to mental tasks with noticeable results. To the best of the authors’ knowledge, such an approach was not present in the literature before.

This replication and extension of Hirsch and Gruss examines the impact of spatial density and ambient scent on consumers' spatial perception and anxiety. The paper aims to discuss these issues.

A 2 (spatial density: high, low)×3 (ambient scent: no scent, scent associated with spaciousness, scent associated with enclosed spaces) between-participants experimental design was implemented in a laboratory setting. A pretest determined scent selection and manipulation checks were successful.

Spatial perception was influenced by spatial density, but not ambient scent. Ambient scent and spatial density interacted, such that consumers' anxiety levels significantly increased under conditions of low spatial density combined with an ambient scent associated with spaciousness, and directionally increased under conditions of high spatial density combined with ambient scent associated with enclosed space.

This research was conducted in a laboratory setting in order to increase experimental control. An exploration of the strength of the observed effects in a field (retail) setting would be insightful.

Results of this study suggest that retailers need to consider both spatial density and choice of ambient scent carefully in order to reduce consumers' anxiety levels.

This research is one of the few to consider the impact of spatial density and ambient scent on consumers' anxiety levels. The use of a between-participants design and the experimental manipulation of both spatial density and ambient scent results in a more rigorous test of the scent – anxiety relation observed in previous research.

The purpose of this paper is to address the limitations of prior views regarding knowledge source exploitation by proposing a phenomenological approach to managerial attention and the antecedents of exploiting knowledge sources within the multinational corporations (MNC) network.

A phenomenological approach to attention is taken to explain the antecedents of managerial attention in knowledge source exploitation behavior. This approach provides an alternative way of conceiving of knowledge source remoteness and familiarity, on the one hand, and exclusion and inclusion on the other.

Drawing on a phenomenological approach to attention, the merits and limits of prior studies of attention and knowledge seeking/exchange behavior are addressed and three modes of managerial attention are proposed – relative attention, mimetic attention, implicit attention – to explain the antecedents of managerial attention to MNC knowledge sources.

This approach to knowledge source exploitation and attention provides a rich conceptualization of taken‐for‐granted assumptions in extant literature on managerial attention and knowledge‐seeking behavior. The framework offered here builds on a conceptually rigid foundation of attention that overcomes dualisms such as mind‐body, subject‐object, and thinking‐acting that are often embedded in other mainstream approaches to managerial attention.