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Thirty‐one senior‐ and middle‐level managers from Burr‐Brown Corporation, a multinational electronics manufacturer, held a three‐day meeting to evaluate the one‐ and five‐year strategic plans of each of the firm's eight divisions.

This paper aims to provide systemic understanding with regard to the adoption of computer mediated communication (CMC) technology and its impact on technostress levels.

Based on the theoretical lens rooted in the psychology literature and emerging problems observed through engagement with organizations in their field research, the authors propose a conceptual model that articulates technology characteristics in telemedicine communication. The model defines both the antecedents and outcomes of technostress, emphasizing investigation of the underlying mechanisms of the overall process in regard to fit between users and adopted technologies.

In order to understand the impact of technostress on telemedicine users, it is necessary to investigate the “black box” of how technology influences stressors. According to the theoretical lens of person‐environment (P‐E) theory, stress occurs when there is a misfit between individuals’ characteristics and environmental settings. Congruent with the premises of the theory, the fit in the authors’ model is conceptualized in two dimensions: complementary fit and supplementary fit. Communication and information support is crucial to meet the ability‐demand fit; social presence and social support are important to assist in the match between an individual's supply and social norm. Personal innovativeness of IT has a moderating effect on the relationship between technostressors and strain.

The proposed model identifies the antecedents of technostressors in regard to the use of telemedicine technologies, and provides the means to examine the process systematically. It could be useful for administrators to constitute organizational strategy to alleviate stress levels, thus improving work performance and quality of working life.

The authors adapt the person‐technology model (P‐T model) to the CMC featured telemedicine context and further extend the model to reveal both antecedents of technostress and the moderators that affect the ultimate stressful syndrome. Instead of treating the misfit indirectly by its consequence, the present study not only emphasizes revealing the mechanism by investigating the misfit process but it also brings additional understanding to the technostress domain.

The purpose of this paper is to investigate the influence of social media on employees’ work performance, as well as the underlying mechanism for how they create value at work.

Based on media synchronicity and social capital theories, the authors propose that social media can foster employees’ social capital and subsequently facilitate knowledge transfer. Both social capital and knowledge transfer help promote work performance. Specifically, the authors adopt shared vision, network ties and trust to represent, respectively, the cognitive, structural and relational dimensions of social capital. The research model is tested using data collected from 379 Chinese working professionals.

The empirical results reveal that social media can promote the formation of employees’ social capital indicated by network ties, shared vision and trust, which, in turn, can facilitate knowledge transfer. Shared vision and knowledge transfer positively influence work performance. Although network ties and trust do not have a direct impact on work performance, the influence is partially mediated by knowledge transfer.

For organizations that wish to build knowledge networks in the workplace, connecting experts with various social media can effectively complement other knowledge management technology. Further, managers should encourage employees to consciously exploit the byproducts created via social media, e.g., social capital, to promote knowledge exchange.

The integration of media synchronicity and social capital theories offers a new theoretical lens and reasonable explanations for investigating communication performance. The research offers empirical evidence regarding how the influence of social media on work performance is transmitted through social capital and knowledge transfer. The authors quantify social media’s benefits for organizations, providing managers an impetus to deploy them in the workplace with optimistic expectation.

This paper aims to illustrate by means of a case study how HKT-R Spider reference profiles of recidivists and non-recidivists may be supportive in leave decisions.

The authors describe what is known for recidivists and non-recidivists about changes in risk factors during treatment. The HKT-R Spider is introduced. By comparing a case study to group profiles, the authors illustrate how discussions about leave may be rationalised. From a study among 278 patients to explore the profiles, the authors report the inter agreement, and differences between recidivists and non-recidivists of the clinical HKT-R factors. Intra correlation coefficients, Wilcoxon signed ranks test and independent and paired t-tests are applied. To explore which combination of factors are discriminating between both groups, the authors also performed logistic regression analyses at six treatment stages.

The inter agreement reliability and internal consistency of the clinical HKT-R scale were acceptable to good in all six stages studied. The HKT-R Spider and profiles can be used to assist in evidence-informed decision-making about leave.

Globally recidivists had somewhat higher levels of clinical risk factors at all six decision moments, but the interpretation of HKT-R Spiders profiles should always be adapted to the individual’s context.

Applying the HKT-R Spider reference profiles on individual cases may structure and rationalize discussions lead to decisions based on clinical facts.

The legal system’s use of risk assessment has grown exponentially over the past several decades. Empirically validated risk measures are commonly implemented in parole, bail, civil commitment, and presentence proceedings. Despite their growing popularity, both policy-makers and legal scholars question their moral and legal acceptability, particularly in presentence proceedings. The purpose of this paper is to assess the current role of risk assessment in sentencing through an examination of the instrument currently under construction in the state of Pennsylvania.

Drawing on the current state of the literature, this paper evaluates the current use of risk assessment in criminal sentencing and discusses its consequences, both positive and negative.

Four areas for improvement in the use of risk assessment in sentencing were identified. Recommendations for change are proposed.

While the use of risk assessment within the legal system has significantly increased over the past several decades, the incorporation of risk assessment in presentence proceedings is a relatively new practice. This paper provides readers with insight on the appropriateness of using risk assessment in this context and provides suggestions for reducing ethical concerns. Recommendations for increasing the validity and clinical utility of these instruments are also discussed.

Although the literature on the use of risk assessment in legal proceedings is dense, relatively little is written about their use in criminal sentencing. This paper introduces readers to this concept by examining a risk measure proposed for use in the state of Pennsylvania’s presentence proceedings. The authors discuss concerns and propose recommendations for the future use of risk assessment in this setting.

The purpose of this paper is to simulate and analyze accurately the multi-scale characteristics, variation periods and trends of the annual streamflow series in the Haihe River Basin (HRB) using the Hilbert-Huang Transform (HHT).

The Empirical Mode Decomposition (EMD) approach is adopted to decompose the original signal into intrinsic mode functions (IMFs) in multi-scales. The Hilbert spectrum is applied to each IMF component and the localized time-frequency-energy distribution. The monotonic residues obtained by EMD can be treated as the trend of the original sequence.

The authors apply HHT to 14 hydrological stations in the HRB. The annual streamflow series are decomposed into four IMFs and a residual component, which exhibits the multi-scale characteristics. After the Hilbert transform, the instantaneous frequency, center frequency and mean period of the IMFs are obtained. Common multi-scale periods of the 14 series exist, e.g. 3.3a, 4∼7a, 8∼10a, 11-14a, 24∼25a and 43∼45a. The residues indicate that the annual streamflow series has exhibited a decreasing trend over the past 50 years.

The HHT method is still in its early stages of application in hydrology and needs to be further tested.

It is helpful for the study of the complex features of streamflow.

This paper will contribute to the sustainable utilization of water resources.

This study represents the first use of the HHT method to analyze the multi-scale characteristics of the streamflow series in the HRB. This paper provides an important theoretical support for water resources management.

Despite the rising number of females in forensic psychiatry, research about their characteristics remains limited and is currently lacking in Belgium. Optimizing knowledge about the characteristics of these women will lead to a better understanding of this specific group. Therefore, the aim of the study was to gain insight into the characteristics of female forensic psychiatric patients in Flanders, Belgium.

A case file study was carried out in the forensic psychiatric hospital Sint-Jan-Baptist in Zelzate, Belgium. The files of female patients admitted in the period 2006–2017 were analysed (N = 82) based on a checklist including sociodemographic, mental health care and offence-related characteristics as well as historical risk factors.

The study revealed that female patients have been confronted with a large number of adverse experiences during both childhood and adulthood, were frequently diagnosed with borderline personality disorder and usually had an extensive mental health treatment history with many drop-outs. The majority of the female patients had committed violent offences towards relatives.

These findings are similar to those of other jurisdictions and highlight the importance of a gender-responsive treatment. This kind of treatment should include trauma-informed care, gender-sensitive risk-assessment and adapted versions of dialectical behavioural therapy and schema-focussed therapy. Additionally, treatment should focus on breaking the intergenerational transmission of violence and mental health problems by targeting parenting skills.

To the best of the authors’ knowledge, this is the first study that scientifically scrutinized the detailed characteristics of female forensic psychiatric patients in Flanders, Belgium. Recommendations for gender-responsive treatment and directions for future research are discussed.

This article assesses the state‐of‐the‐art on the subject of international market selection based on a comprehensive review and synthesis of the literature. It provides an inventory, taxonomy and brief review of the normative quantitative models that have been proposed in the literature, and compares them to current business practices in selecting foreign markets. This comparison reveals a theory‐practice gap that is discussed in the context of the methodological and conceptual weaknesses of the models. Suggestions for future research are made.

The purpose of this study was to explore the predictive validity of the revised Problem Identification Checklist (PIC‐R) in predicting inpatient and community violence using a retrospective design. The Historical Scale (H‐Scale) of the HCR‐20 was employed to control for static risk factors. The predictive accuracy between predictors and outcome measures was evaluated using Receiver Operating Characteristics (ROC) analysis. The PIC‐R significantly predicted inpatient violence (AUC range 0.77‐0.92) over a 12‐month follow‐up period but did not predict community violence. Conversely, the H‐Scale significantly predicted community violence (AUC 0.82) but did not predict inpatient violence over a 12‐month follow‐up period. The findings offer preliminary validation for the predictive accuracy of the PIC‐R for violence in a UK inpatient population. Additionally, the findings suggest that short‐term risk of violence within a psychiatric inpatient population may be more related to dynamic and clinical risk variables rather than to static ones.