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The aim of this paper is to model the dynamic path of adjustment towards pre‐unemployment levels of wellbeing for a group of full‐time workers who experienced job loss.

Based on data from the German Socio‐economic Panel, a large‐scale panel survey, the paper captures the non‐linear nature of the adaptation process by using an Exponential Smooth Transition Autoregressive (ESTAR) model.

The study finds that adaptation takes place in a non‐linear fashion, with the speed of adjustment being higher for high earners, those with high pre‐unemployment levels of life satisfaction and those who were most satisfied with their jobs before becoming unemployed. It also finds that most of the adaptation takes place during the first year of unemployment, with adaptation speeds decreasing with unemployment duration, suggestive of possible habituation effects being present.

This is the first study to model the dynamic path of adjustment towards pre‐unemployment wellbeing levels as a non‐linear process. Despite the challenge posed by adaptation theory and the recent interest in the wellbeing effects of job loss, there is only sparse empirical evidence on the dynamics of the adaptation to unemployment process.

The purpose of this paper is to analyze the determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.

The empirical analysis is performed using panel data from 160 countries and 45 companies, covering the time period from 2000 to 2011. To identify the significant factors, company level firm-specific financial and non-financial factors have been analyzed that are expected to bear significant impact on price volatility of telecommunications stock.

The test results reveal that capital expenditure and book value are the most significant factors. Dividends and debt levels only affect prices significantly in specification tests with either time-series or cross-sectional effects, whereas firms’ earnings and numbers of mobile internet subscribers do not contribute to the explanatory power of telecommunication stock price variability.

The study sheds light to the potential investors in evaluating the risk associated with investment in stocks of telecommunications firms and take informed investment decisions.

This is the first study that presents a comprehensive analysis of determinants affecting the stock prices of telecommunications firms in both developed and developing countries around the world.

The purpose of this paper is to investigate the validity of the cost of carry model by examining the time series properties of the deviation between future and spot prices in the European Union Emissions Trading Scheme (EU-ETS) over the time period 2005-2012. The paper utilizes a non-linear mean reverting adjustment mechanism, and discovers that although deviations of future from spot prices can exhibit a region of non-stationary behaviour, overall they are stationary indicating market efficiency in the trading of carbon permits.

The methodology involves non-linear mean reverting unit root tests.

The findings provide insights into the functioning of the EU-ETS market. They suggest that it is informationally efficient and does not permit arbitrage between spots and futures.

The authors are the first study to examine efficiency in the EU-ETS by investigating the validity of the cost of carry model. The authors are also the only study to look at efficiency in both Phase I and Phase II of the scheme.

Extant literature shows that employee voice has ambiguous effects on organizational outcome. Especially because employee voice challenges the status quo, it can attract retaliation and lead to silencing of the employee. Thus, rather than producing change, employee voice can lead to increase in workplace tensions. On the other hand, employee voice also has positive consequences such as building a partnership-based culture between supervisors and employees. The purpose of this article is to reconcile these contradictory findings by reinforcing voice as having a deliberative dimension which fosters a harmonious dialogue around workplace issues.

We surveyed 628 managers working in organizations across different industrial relations contexts in India. Managers working in different sectors were chosen so that we could examine the consequences of employee voice across contexts with differing trade union strengths. We adopted a Structural Equation Modeling (SEM) approach to test the effect of employee voice on environment for innovation.

We find that trust in senior management and relationship between employees and their supervising managers mediate the relationship between employee voice and environment for innovation. The findings in the article do reconcile an important dilemma about employee voice. Earlier studies have argued that employee voice is a mechanism for engaging with the dissatisfaction that employees may have in their workplaces. Our study indicates that when deliberative elements are incorporated into employee voice it is no longer merely a means for addressing dissatisfaction but constructively contributes to positive organizational outcomes such as environment for innovation.

The effects of employee voice on environment for innovation can be understood more clearly by adopting a longitudinal research design. The findings of this article are limited by the cross-sectional frame of research design adopted. The scale that is developed for employee voice needs more validation in other international contexts.

This study provides a framework through which employee voice can be shifted from adversarial frames of reference to harmonious and partnership-based forms of engagement. This also has the potential to transform the role of trade unions inside organizations and build a more collaborative edifice between multiple stakeholders. Another implication is that when voice is seen in a deliberative fashion it can lead to improved environment for innovation.

The purpose of this study is to contribute to reconceptualization of employee voice by contending that deliberative issues are an important part of transforming the status quo. Consequently, the patterns of deliberation structure constructive partnerships between different organizational stakeholders who may be perceived as having hostile relationships with each other. This study reconciles previous findings which suggested that employee voice can have negative consequences such as retaliation by suggesting that positive consequences of employee voice are contingent on its deliberative component.

The author presents new estimates of the probability weighting functions found in rank-dependent theories of choice under risk. These estimates are unusual in two senses. First, they are free of functional form assumptions about both utility and weighting functions, and they are entirely based on binary discrete choices and not on matching or valuation tasks, though they depend on assumptions concerning the nature of probabilistic choice under risk. Second, estimated weighting functions contradict widely held priors of an inverse-s shape with fixed point well in the interior of the (0,1) interval: Instead the author usually finds populations dominated by “optimists” who uniformly overweight best outcomes in risky options. The choice pairs used here mostly do not provoke similarity-based simplifications. In a third experiment, the author shows that the presence of choice pairs that provoke similarity-based computational shortcuts does indeed flatten estimated probability weighting functions.

Digital mental health interventions (DMHIs) are promising alternatives to traditional face-to-face psychological interventions to improve psychological outcomes in various chronic health conditions. However, their efficacy among people with diabetes is yet to be established. Therefore, this narrative review aims to identify the importance and need for evidence-based research on DMHIs targeting the psychological outcomes in people with diabetes.

Using a narrative review approach, this study highlights the technological advancements in diabetes health care and identifies a need for developing DMHIs for people with diabetes.

DMHIs are promising for improving psychological outcomes in people with diabetes. However, there is a need for further rigorous, controlled and high-quality diabetes-focused studies, to make firm conclusions on the effectiveness and appropriateness of DMHIs for patients with diabetes. This review also suggests that DMHIs based on psychological theories and studies with higher quality methodologies are also needed.

This review highlights the contemporary literature on diabetes and related technological advancements. The findings of this study serve as a basis of the improvement of policy on digital mental health services for people with diabetes, to impact the global burden of the disease.

Surgical site infection (SSI) is a common complication in surgical practice. SSIs represent almost a fifth of healthcare-associated infections in Scotland, and have deleterious effects on mortality, morbidity, length of stay, and cost to the health service. SSIs in neurosurgery may be more consequential than in other specialities given the potentially devastating effects of central nervous system infection. The paper aims to discuss these issues.

In 2014, the authors became concerned about an anecdotal increase in infection rates in the authors’ unit. While national guidance on SSI surveillance existed in England and Scotland, the authors had no relevant procedures or policies in Glasgow, and began the process of establishing a surveillance programme. This was driven by clinicians but faced challenges due to a lack of involvement of the wider organisation in the early stages.

SSIs were initially reported via a form-filling system. This developed into an editable hospital intranet database, but still suffered from the problems of voluntary entries and under-reporting. Following the formal engagement of management structures and the funding of a surveillance nurse, the authors’ programme developed robustness, and resilience. With the advent of an SSI committee, the authors now have a well-established programme that ingrains SSI prevention in the collective learning and organisational memory of the authors’ unit.

Clinicians must lead on the development of these programmes, but long-term durability requires engagement and support from the wider organisation.