Suchergebnisse

PurposeThe speedy development of information technology (IT) is indeed a significant issue to support the enterprises to spread their products and services to their customers. Although the adoption of IT in the enterprises can help employees' work, it will increase their work exhaustion and job burnout too.Design/methodology/approachThe survey data of this study was collected from Chinese IT personnel (ITP): 543 and Chinese information systems (IS)/IT users: 525, totaling 1,068 respondents.FindingsThe result shows that the influences of the organizational factors and guanxi on the work exhaustion are different between Chinese ITP and IS/IT users in the research model. Also the implications of the study are discussed and made some contribution to the research and management practice.Originality/valueBy comparison between the Chinese ITP and IS/IT users, this study shows that guanxi can be antecedent factor to some organizational factors, and the organizational factors guanxi have had a different effect on the work exhaustion of Chinese ITP and IS/IT users. Given that the critical successes to the organizations, management should focus on what direction to reduce Chinese ITP and IS/IT users work exhaustion.

Abstract
ContextUnderstanding the relationships between land use and anuran habitat selection would help make conservation-management and habitat-restoration decisions. However, only a few studies have investigated all the available amphibian habitats in terrestrial and aquatic environments.
AimsThe objective of the present study is to assess the associations between different land-use types and individual anuran species in a traditional agricultural area. We also hypothesise that connectivity and land-use heterogeneity are important in determining species richness.
MethodsWe conducted monthly roadside calling surveys at 71 sites in the Sun Moon Lake (SML) region in central Taiwan during 2008–2010. Non-metric multidimensional scaling (NMDS) with envfit was used to investigate the relationships between land-use characteristics and anuran assemblage. We use a site-occupancy model to assess the associations between land use and occupancy rate of each species. Generalised linear regression with Poisson distribution was used to assess the relationships among connectivity, land-use heterogeneity and species richness.
Key resultsIn total, 19 species in five families were detected by roadside calling surveys. The NMDS results showed anuran assemblages in the SML region being distributed through an environmental gradient from those most dominated by agricultural land to forest-dominant sites. According to site-occupancy models, the occupancy rates of anurans were mainly correlated with proportion of agricultural land, grassland and distance to river. The species richness was positively correlated with land-use heterogeneity.
ConclusionsThe results showed that the distributions of anurans largely depended on surrounding land-use types in the terrestrial environment. The major trend of anuran assemblages in the traditional agricultural area was dependent on the transition from forest to agricultural land.
ImplicationsThe data suggested that land-use heterogeneity should be a primary consideration for increasing amphibian species richness.

Purpose
The purpose of this paper is to integrate psychological dimension, social dimension, and environmental dimension – six internet psychological characteristics (dissociative anonymity, invisibility, asynchronicity, solipsistic introjection, dissociative imagination, and minimization of status and authority), deindividuation, social influence (subjective norm and descriptive norm), and containment theory (inner containment and outer containment) – to propose an innovative model which can make up for deficiencies in previous studies of the toxic online disinhibition effect.


Design/methodology/approach
On the basis of 530 valid responses collected from an online survey questionnaire, partial least squares technology was used to examine the research model.


Findings
The result shows that dissociative anonymity has a significant impact on deindividuation and toxic disinhibition. In addition, asynchronicity and dissociative imagination have a direct effect on toxic disinhibition. Besides, in social influence, the authors found that subjective norm is a stronger predictor of toxic disinhibition than descriptive norm. Moreover, in containment theory, the result shows that inner containment can effectively reduce toxic disinhibition but not outer containment.


Originality/value
This study can provide academics and practical side empirical evidence as to what factor would cause toxic disinhibition and provides an innovative view regarding the relationship between social influence and containment theory on toxic disinhibition.

AbstractThis study employs five methods to calculate the VaR of twelve REITs portfolios and evaluates the accuracy of these methods. Firstly, we find that the VaR varies among individual portfolios. The Hotel REITs has consistently the largest VaR. The low‐leveraging portfolio tends to have the largest VaR measured by the parametric methods, while the high leveraging portfolio has the largest VaR calculated by the non‐parametric methods. Secondly, each method performs differently at different confidence levels, and no method dominates the others. At the 95% confidence level, the EWMA method performs relatively well. The EQWMA and the two non‐parametric methods perform equivalently and slightly overestimate VaRs. The EQWMAT method ranks the bottom and significantly overestimates VaRs for all portfolios. At the 99% confidence level, the EQWMA method performs the best. The EQWMAT and the two non‐parametric methods perform equivalently and may overestimate VaR for all portfolios. The EWMA method turns out to be the worst and tends to underestimate the VaR. These findings may provide more insights for institutional real estate investors.

Modeling the correlation structure of returns is essential in many financial applications. Considerable evidence from empirical studies has shown that the correlation among asset returns is not stable over time. A recent development in the multivariate stochastic volatility literature is the application of inverse Wishart processes to characterize the evolution of return correlation matrices. Within the inverse Wishart multivariate stochastic volatility framework, we propose a flexible correlated latent factor model to achieve dimension reduction and capture the stylized fact of 'correlation breakdown' simultaneously. The parameter estimation is based on existing Markov chain Monte Carlo methods. We illustrate the proposed model with several empirical studies. In particular, we use high‐dimensional stock return data to compare our model with competing models based on multiple performance metrics and tests. The results show that the proposed model not only describes historic stylized facts reasonably but also provides the best overall performance.