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Despite the generation of mass data by the nursing workforce, determining the impact of the contribution to patient safety remains challenging. Several cross-sectional studies have indicated a relationship between staffing and safety. The purpose of this paper is to uncover possible associations and explore if a deeper understanding of relationships between staffing and other factors such as safety could be revealed within routinely collected national data sets.

Two longitudinal routinely collected data sets consisting of 30 years of UK nurse staffing data and seven years of National Health Service (NHS) benchmark data such as survey results, safety and other indicators were used. A correlation matrix was built and a linear correlation operation was applied (Pearson product-moment correlation coefficient).

A number of associations were revealed within both the UK staffing data set and the NHS benchmarking data set. However, the challenges of using these data sets soon became apparent.

Staff time and effort are required to collect these data. The limitations of these data sets include inconsistent data collection and quality. The mode of data collection and the itemset collected should be reviewed to generate a data set with robust clinical application.

This paper revealed that relationships are likely to be complex and non-linear; however, the main contribution of the paper is the identification of the limitations of routinely collected data. Much time and effort is expended in collecting this data; however, its validity, usefulness and method of routine national data collection appear to require re-examination.

The purpose of this paper is to evaluate the use of cognitive behavioural approaches to treat a gentleman with a learning disability who had been reported to the police for allegedly making contact with children using social media in an attempt to initiate a romantic relationship using a single case design.

An 11 session cognitive behavioural intervention was employed, comprising of index offence analysis, challenging distorted cognitions related to the offence, developing an internal focus for responsibility and psychoeducation with regards to “staying safe” online.

Follow up data demonstrated no improvements in victim empathy, nor in agreement ratings in terms of key cognitions associated with responsibility for offending behaviour.

Whilst treatment efficacy was not established, this case study raises important questions that go beyond the single case design. Whilst the gentleman reported becoming “safer” in terms of initiating contact with unknown people via social media, this could not be substantiated, and is indicative of the cardinal difficulty of monitoring online recidivism. Generalisability of findings to the wider learning disability population is limited by a single case design.

This is the first published case study to the authors knowledge to evaluate cognitive behavioural approaches to reduce antisocial internet related behaviour in a forensic learning disability setting. Findings of considered within the context of the concept of minimisation of offending behaviour, the concept of “counterfeit deviance”, and also how best to measure therapeutic change within this population.

The purpose of this paper is to explain why the historical integration of manufacturing with service was quickly seen as advantageous in some circumstances, but not so in others.

The paper reviews the history of manufacturing companies in the USA during the last half of the nineteenth century, categorizes them, and ties them to theory.

The bundling of manufactured goods to downstream‐available services was led by companies with new products but with no great manufacturing strengths, as a way to establish barriers to entry. Companies with significant manufacturing capabilities were not as quick or as complete in their integration of manufacturing and service.

This paper shows that servitization has antecedents that go back 150 years.

The purpose of this paper is to review and examine the recent investment trends of firms operating in the food, feed and biofuel production and processing sectors in Latin America. The inter-related nature of these three sub-sectors and the great expansion they have gone through in the last decade showcases a series of socioeconomic and environmental policy challenges thus making it relevant to identify their different business models through a typology.

The paper first presents an unprecedented literature review based on field observations and media coverage of agri-business strategies of the food, feed and biofuel production in the region. It then moves to an in-depth analysis of investment operations that serve to classify such firms into a business model typology considering degree of internationalization and integration. The typology is a useful mechanism to enhance public policy analysis and uncover market or government incentives behind business decisions.

By focusing on investment strategies, the paper illustrates how both market and government incentives shape and affect the performance and consolidation of different players in the food, feed and biofuel sub-sectors in Latin America. The resulting effects have strong economic as well as social and environmental implications because such economic activities have an impact on global food and energy security.

Limitations include a reliance on largely qualitative evidence and research methods due to unavailability of consistent numerical data in these specific agri-business sub-sectors.

This paper is unique in its focus on business models in a particularly relevant set of agri-business sub-sectors in Latin America and its implications to promote investment and innovation in value chain development while considering regional-specific challenges.

This paper provides insights as to how a Confucian-inspired Junzi style of leadership translates into initiatives toward human capital development in Singapore. After reviewing tripartite governance in Singapore, we discuss the character of Confucian leadership: how does this value system inform the moral economy of the Singaporean corporatist model and inherently come to impact upon the conception and significance of human capital.

The case approach was employed using multiple sources of secondary data, supplemented by interviews with high-profile informants in Singapore. Multiple sources led to data triangulation in presenting a mutually consistent set of evidence. The paper also draws from a longitudinal observation of Singapore's industrial relations and human resource development (HRD) policies over the last 10 years since the Global Financial Crisis.

Organized along two thematic areas: governance and human capital development, this paper proposes and finds that governance in Singapore displays an institutionalized form of Junzi leadership that translates into policymaking toward human capital development.

This paper brings about an Asian perspective of Junzi leadership toward management and governance. The Confucian value system intrinsic to tripartite governance provides an original heuristic lens that helps shed a light on the significance of human capital development in Singapore.

The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains.

The authors conceptualize a research model grounded in contingent resource-based view where the authors propose that BDPA capabilities affect visibility and coordination under the moderating effect of swift trust. Using ordinary least squares regression, the authors test the hypotheses using survey data collected from informants at 205 international non-government organizations.

The results indicate that BDPA has a significant influence on visibility and coordination. Further, the results suggest that swift trust does not have an amplifying effect on the relationships between BDPA and visibility and coordination. However, the mediation test suggests that swift trust acts as a mediating construct. Hence, the authors argue that swift trust is not the condition for improving coordination among the actors in humanitarian supply chains.

The major limitation of the study is that the authors have used cross-sectional survey data to test the research hypotheses. Following Guide and Ketokivi (2015), the authors present arguments on how to address the limitations of cross-sectional data or use of longitudinal data that can address common method bias or endogeneity-related problems.

Managers can use this framework to understand: first, how organizational resources can be used to create BDPA, and second, how BDPA can help build swift trust and be used to improve visibility and coordination in the humanitarian supply chain.

This is the first research that has empirically tested the anecdotal and conceptual evidence. The findings make notable contributions to existing humanitarian supply chain literature and may be useful to managers who are contemplating the use of BDPA to improve disaster-relief-related activities.

Taking a global perspective, this paper aims to examine the impact of COVID-19 on Airbnb booking activities through three critical perspectives – the initial Wuhan lockdown, local COVID-19 cases and local lockdowns.

Using Airbnb reviews and cancellations as proxies for Airbnb bookings on a global scale, econometrics was used to examine the impacts of the initial Wuhan lockdown, local COVID-19 cases and local lockdowns on Airbnb bookings.

The authors find that local lockdowns result in a 57.8% fall in global booking activities. Every doubling of newly infected cases is associated with a 4.16% fall in bookings. The sensitivity of bookings to COVID-19 decreases with geographic distance to Wuhan and increases with government stringency of lockdown policies and human mobility within a market.

The empirical evidence from this research can provide governments with insights into more accurate assessment of the financial loss of Airbnb hosts so that proper support can be offered based on the financial needs because of due to sudden lockdown.

This research contributes to new knowledge on peer-to-peer accommodation during a time of crisis and provides much needed global evidence to understand the impacts of COVID-19 on the accommodation industry.

At breakfast the other day, browsing through The Times, I came across a letter from a correspondent in Piddlehinton in darkest Dorset. I cannot remember what he was rabbiting on about, but I do recall an unexpected unflattering reference to ‘the increasing number of authoritative principals in technical colleges’. It came out — just like that — and brought me up short, choking on my egg.

This study examined the Twenty20 cricket competition launched in England and Wales in 2003. The findings identified that the competition has many of the characteristics which current diffusion models believe to be critical success factors. However, most research focused on American and Australian sports, and two key contextual factors are excluded: both timing and weather have been critical factors in the competition's success.

The following bibliography focuses mainly on programs which can run on IBM microcomputers and compatibles under the operating system PC DOS/MS DOS, and which can be used in online information and documentation work. They fall into the following categories: