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The purpose of this paper is to find the new analysis method of virtual team effectiveness in team building, as well as various HR tools.

This paper investigated 62 virtual teams, distinguished between identified mental models and distributed mental models, tested the relation among team characteristics, and shared mental models and virtual team effectiveness using hierarchical linear modeling.

Results demonstrated that time would enhance the effect of shared mental models on task effectiveness; virtual team size would affect the relation between shared mental model and cooperative effectiveness, team size could enhance the effect of identified mental model on cooperative effectiveness, but weaken the relation between distributed mental model and cooperative effectiveness. A need is found for application of hierarchical linear modeling of shared mental model on virtual team effectiveness.

Accessibility and availability of data are the main limitations which apply.

This paper presents a new approach of optimal choice of virtual team building. The paper is aimed at HR and psychological researches and managers, especially those who dealt with people, and provides very useful advice for team management in enterprises.

This paper aims to test the association between home sharing, property crime and disorder.

Using a sample of Texas cities, this study examined the relationship between city-level home sharing density (number of listings per 10,000 residents) and five specific offenses (burglary, larceny, simple assault, disorderly conduct and public drunkenness) while controlling for the size of the local food service/accommodation and arts/entertainment sectors, economic disadvantage and other demographic variables.

The results suggest a statistically significant but very small association between home sharing and four of the five offenses.

The primary limitations of this study are that it was limited to a single state and included only a few large cities.

There is clearly a need for many more studies of home sharing and crime using other samples and methods. If the association between home sharing and crimes is confirmed by future studies, that may affect regulation of home sharing and allocation of law enforcement resources.

Only a few studies have examined the relationship between home sharing and crime. The present study builds on that work using a sample from a new location, a different level of aggregation and previously unstudied crimes.

The purpose of this study is to test the local impact of COVID-19 pandemic on hotel performance at the individual property level, and further examine the roles of hotel attributes and business mix in potentially moderating or intensifying the impact of a crisis.

Using a sample of 5,090 hotel properties in Texas, USA from January 2020 to December 2021, this study estimates a monthly hotel performance model to evaluate how the pandemic affected hotels’ operational performance based on revenue per available room.

Results show that a 10% increase in the monthly number of confirmed COVID-19 cases led to a 0.522% decrease in hotel performance. Also, a series of moderators were identified within the pandemic–performance relationship: the negative impact of the pandemic was more severe among higher-end hotels and newer hotels; urbanization and localization diseconomies prevailed during the pandemic; and there was a smaller negative effect of COVID-19 on high rated hotels in the category of economy hotels.

The moderators highlighted in this paper shed light on the heterogeneity of COVID-19’s effects on hotel operations. Findings enrich the hospitality literature by considering business resilience in relation to the pandemic.

The purpose of this paper is to analyze theory of inventive problem-solving (TRIZ) in terms of knowledge, skill, workload and affect to understand its effectiveness in enabling designers to achieve their optimized mental performance.

TASKS framework, which aims to capture the causal relations among Task workload, affect, skills, knowledge and mental stress, is adopted as our methodology. The framework supports the analysis of how a methodology influence designer’s affect, skills, knowledge and workload. TRIZ-related publications are assessed using the TASKS framework to identify the barriers and enablers in TRIZ-supported design.

TRIZ has limitations on its logic and tools. Nevertheless, it could create a beneficial impact on mental performance of designers.

This paper provides a theory-driven TRIZ usability analysis based on the materials in the literature following the TASKS framework. The impact of TRIZ, as an enabler or a barrier, has been analyzed in accomplishing a design task.

Three types of PbTe samples, e.g. nanoparticles, nanowires and bulk ingots, have been prepared. The investigation of the Seebeck coefficient of PbTe nanoparticles and nanowires clearly shows the sign change in the temperature range of 575~650 K, which is not observed for bulk ingots. Unfortunately, this temperature range is within the proposed operation temperature range for thermoelectric devices using PbTe and hence, such a change will affect their proper performance. The observed sign change of Seebeck coefficient is not simply caused by the composition variation at high temperature. It is mainly attributed to the extrinsic-to-intrinsic-semiconductor transition for PbTe nanocrystals due to the competing factors between quantum size effect increasing band gap and self-purification process decreasing their charge carrier concentration, which shift the transition point of nanocrystals to lower range as compare to that of bulk samples. Thus, such phenomenon should be considered carefully in the design of thermoelectric devices using semiconductor nanocrystals, which have attracted much attention recently.

The intense queuing phenomenon in Chinese banks has been a critical issue for bank managers for a long time, especially in big cities, which increases the possibility of customer dissatisfaction. Against this background, the purpose of this paper is to explore the antecedents of post‐recovery satisfaction within China's “Big 4” commercial banks. By tracking the nature of service failures and examining the overall performance of the service recovery process in the Chinese banking industry, the authors aim to investigate how customer expectations, their perception of recovery justice and recovery quality affect customer satisfaction under service recovery context.

Based on disconfirmation paradigm and fairness theory, a conceptual model with 12 hypotheses was derived for the banking sector. With reference to the instruments RECOVSAT and SERVQUAL scale, a questionnaire was developed and sent to a geographically stratified, random sample of 300 participants in Changsha City. Confirmatory factor analysis was used for reliability/validity testing, and the hypothesised relationships among the latent constructs were estimated using structural equation modelling.

Consistent with most previous researches, the empirical results supported the idea that recovery expectation negatively influenced the recovery quality perceptions, expectancy disconfirmation and satisfaction with service recovery. Other findings included that both positive disconfirmation and recovery quality perceptions had positive effect on recovery satisfaction. However, unlike other studies relating to service justice, interactional justice was found to have no significant effect on quality perception or satisfaction with recovery, and this was attributed to customer's higher tolerance zone under the particular competition environment in China.

By exploring the antecedents of post‐recovery satisfaction within China's “Big 4” commercial banks, the study provided valuable findings in relation to participants' perceptions on recovery justice and quality. It highlighted the effect of characteristics of Chinese customers on post‐recovery satisfaction, and the importance of good understanding of customer expectation and employee empowerment in the banking industry.

This paper aims to describe the main challenges of identifying and accessing useful information and knowledge about natural hazards and disasters results. The paper presents a grid‐based digital library system designed to address the challenges.

The need to organize and publish metadata about European research results in the field of natural disasters has been met with the help of two innovative technologies: the Open Grid Service Architecture (OGSA) and the Resource Description Framework (RDF). OGSA provides a common platform for sharing distributed metadata securely. RDF facilitates the creation and exchange of metadata.

Using grid technology allows the RDF metadata of European research results in the field of natural disasters to be shared securely and effectively in a heterogeneous network environment.

A metadata approach is proposed for the extraction of the metadata, and their distribution to third parties in batch, and their sharing with other applications can be a quickly process. Furthermore, a method is set out to describe metadata in a common and open format, which can become a widely accepted standard; the existence of a common standard enables the metadata storage in different platforms while supporting the capability of distributed queries across different metadata databases, the integration of metadata extracted from different sources, etc. It can be used for the general‐purpose search engines.

The purpose of this paper is to explore the role of communities of practice (CoPs) in facilitating knowledge sharing within a Chinese management consulting company.

A qualitative case study was conducted within a Chinese management consulting company. Data collection was based on focus group interviews and in‐depth interviews.

The finding of this study suggests that there are some knowledge sharing barriers caused by both organizational factors and cultural factors. CoP in the case company have been playing very positive roles in overcoming those barriers and facilitating knowledge sharing in the company.

The findings are restricted to the specific context of this study. However, qualitative methodology contributes to thick and rich data and it gives an understanding of the phenomena under study within the context of the study. Therefore, readers can decide and make their own generalizations with relevant context.

Based on the research findings, the study developed the knowledge sharing model in the case company, which provides a synthesis for this study result. This model can help related academics and practitioners to understand the Chinese cultural and social influences on knowledge management practice, as well as the role of CoPs in facilitating knowledge sharing in Chinese organisations.

Few studies have explicitly paid attention to knowledge sharing within Chinese organizations. This paper provides useful information both for academics interested in cultural issues within knowledge management and impartial advice for knowledge managers within Chinese companies.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

When forecasting intermittent demand the method derived by Croston (1972) is often cited. Previous research favorably compared Croston's forecasting method for demand with simple exponential smoothing assuming a nonzero demand occurs as a Bernoulli process with a constant probability. In practice, however, the assumption of a constant probability for the occurrence of nonzero demand is often violated. This research investigates Croston's method under violation of the assumption of a constant probability of nonzero demand. In a simulation study, forecasts derived using single exponential smoothing (SES) are compared to forecasts using a modification of Croston's method utilizing double exponential smoothing to forecast the time between nonzero demands assuming a normal distribution for demand size with different standard deviation levels. This methodology may be applicable to forecasting intermittent demand at the beginning or end of a product's life cycle.