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The recently developed resource orchestration theory studies the processes by which managers handle resources to create competitive advantages. According to this theory, it is the way that resources interact with each other that results in such advantages. Resource integration, i.e. the alignment, or fit between resources, is one important outcome of resource orchestration processes. This paper aims to develop a scale and outline approaches to measuring such resource integration.

Using a typology of five types of resources derived from value theory, the authors develop a scale for measuring the fit between resource types, i.e. the degree of resource integration. The authors illustrate the method using a case example of an IT company and demonstrate how a variety of statistical methods including hierarchical cluster analysis, structural equation modeling, social network analysis and methods from biostatistics can provide measures of resource integration.

The authors develop a scale and associated measures that can help scholars systematically measure and identify firms with a high or low level of resource integration capability. This makes it possible to investigate further these companies and reconstruct how they support dynamic capabilities, as well as commonalities across firms with high and low levels of this capability.

Existing studies on resource orchestration have failed to provide us with a reliable measurement instrument that can be used both in cross-sectional work, and in repeated or time-series studies, allowing us to assess the degree to which a wider range of resources in an organization are integrated. The authors develop and demonstrate such an instrument.

Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data reported by adults employed in the United States (n = 5,927) to explore how loneliness and other related factors may influence avoidable absenteeism and turnover intention.

Worker loneliness was assessed using the UCLA Loneliness Scale (Version 3). Composite variables were constructed as proxy measures of worker job and personal resources. Structural equation modeling (SEM) was used to examine independent variable effects on dependent outcomes of (a) work days missed in the last month due to stress (stress-related absenteeism) and (b) likelihood to quit within the next year (turnover intention).

The job resources of social companionship, work-life balance and satisfaction with communication had significant negative relationships to loneliness in the SEM, as did the personal resources of resilience and less perceived alienation. Results further show lonely workers have significantly greater stress-related absenteeism (p = 0.000) and higher turnover intention ratings (p = 0.000) compared to workers who are not lonely. Respondent demographics (age, race and gender) and other occupational characteristics also produced significant outcomes.

Study findings underscore the importance of proactively addressing loneliness among workers and facilitating job and personal resource development as an employee engagement and retention strategy.

Loneliness substantially contributes to worker job withdrawal and has negative implications for organizational effectiveness and costs.

Background: Evidence from a range of major public health incidents shows that neighbour-based action can have a critical role in emergency response, assistance and recovery. However, there is little research to date on neighbour-based action during the 2020 coronavirus pandemic. This article reports on a survey of people engaged in supporting their neighbours in weeks three and four of the UK COVID-19 lockdown.

Methods: Members of area-based and community of interest COVID-19 support groups in the Bristol conurbation were invited to complete an online survey. Of 1,255 people who clicked on the survey link, 862 responded; of these, 539 responses were eligible for analysis.

Results: Respondents reported providing a wide range of support that went beyond health information, food and medical prescription assistance, to include raising morale through humour, creativity and acts of kindness and solidarity. A substantial proportion felt that they had become more involved in neighbourhood life following the lockdown and had an interest in becoming more involved in future. Neighbour support spanned all adult age groups, including older people categorised as being at-risk to the virus. With respect to most measures, there were no differences in the characteristics of support between respondents in areas of higher and lower deprivation. However, respondents from more deprived areas were more likely to state that they were involved in supporting certain vulnerable groups.

Conclusions: As with previous research on major social upheavals, our findings suggest that responses to the viral pandemic and associated social restrictions may increase existing social and health inequalities, and further research should explore this issue in more depth.

The importance of multi-agency information sharing is recognised as central to tackling crime and disorder in an intelligence-driven environment. However, whilst technology can facilitate and enhance this process, barriers to effective agency information exchange are consistently reported. This paper aims to categorise how information sharing takes place in a law enforcement operational setting and whether there is scope to improve the process.

There were two stages to the method; firstly, a select group of practitioners with intelligence-related experience (n = 28) were interviewed to identify the most common approaches to operational information sharing. This generated a categorisation model, which was tested with a larger group of practitioners (n = 73). A mixed-methods approach was adopted.

The research found consensus surrounding four different approaches to information sharing, labelled as: (1) inform and request, (2) meet and share, (3) customised database and (4) integrated systems. These are used at various levels of frequency, dependent on the operational context.

This research provides original evidence-based research to show law enforcement practitioners vary in the way they share information. By demystifying and categorising the process, it provides understanding for practitioners, policymakers and researchers, allowing barriers to be more readily tackled in a much more cost-effective manner.