Fostering sustainable logistics businesses: the role of innovation ecosystems and institutional contexts for logistics firms in China

PurposeDrawing on institution embeddedness and the resource-based view, the authors develop a theoretical framework and empirically examine how intra-national innovation ecosystems and environmental institutions impact logistics service providers' (LSPs) technological innovation (TI) and green practices.Design/methodology/approachThe authors test the theoretical framework based on survey data of 328 Chinese LSPs. Archival datasets complement the survey data.FindingsThe research reveals that intra-national institutional forces of formal and informal environment-related institutions can mitigate LSPs' reliance on their firm-specific advantages when engaging in TI and green practices. Results from a three-way interaction indicate that intra-national innovation ecosystems positively moderate the effects of environmental institutions.Research limitations/implicationsThe research has three critical implications. First, the study reveals the contingency role of intra-national environment-related institutions and innovation ecosystems in shaping green logistics. Second, the study finds new results about the roles of informal environmental institutions. Finally, intra-national innovation ecosystems can override environmental institutions in influencing the green practices of LSPs.Originality/valueTaking a unique angle of institution embeddedness coupled with the resource-based view, the authors examined how intra-national ecosystems and environmental institutions impact LSPs' TI and green practices.

An Analysis of Household Perceptions of Water Costs across the United States: A Survey Based Approach

Research analyzing perceptions of water services has focused on water quality, water safety, and the propensity to consume water from different sources. It has not assessed perceptions of water costs. To address this knowledge gap, this study collected nationally representative survey data from households in the United States about water issues and incorporated these data into logistic regression models. In doing so, our study advances the water and public policy literature in three ways. One, it addresses the need for household resolution information about water issues given the absence of data at this scale in the United States. Two, it creates and utilizes one-of-a-kind survey data to understand the perceptions of household water bills and the drivers of these perceptions. Three, we assess the impact of proposed solutions to improve water affordability on household perceptions of water costs. Model results indicate low-income and households in underrepresented groups were more likely to perceive their water bills to be too high. The perception of water costs also varied geographically. From a policy perspective, model results indicate utilities can positively affect perceptions of water bills via the frequency of water billing and provision of payment assistance programs.

How Internal Hiring Affects Occupational Stratification

When employers conduct more internal hiring, does this facilitate upward mobility for low-paid workers or does it protect the already advantaged? To assess the effect of within-employer job mobility on occupational stratification, we develop a framework that accounts for inequality in both rates and payoffs of job changing. Internal hiring facilitates advancement for workers without strong credentials, but it excludes workers at employers with few good jobs to advance into. Analyzing Current Population Survey data, we find that when internal hiring increases in a local labor market, it facilitates upward mobility less than when external hiring increases. When workers in low-paid occupations switch jobs, they benefit more from switching employers than from moving jobs within the same employer. One-third of this difference is due to low-paid workers isolated in industries with few high-paying jobs to transfer into. An occupationally segregated labor market therefore limits the benefits that internal hiring can bring to the workers who most need upward mobility.

Patient Safety Culture in European Hospitals: A Comparative Mixed Methods Study

Background: Poorly organized health systems with inadequate leadership limit the development of the robust safety cultures capable of preventing consequential adverse events. Although safety culture has been studied in hospitals worldwide, the relationship between clinician perceptions about patient safety and their actual clinical practices has received little attention. Despite the need for mixed methods studies to achieve a deeper understanding of safety culture, there are few studies providing comparisons of hospitals in different countries. Purpose: This study compared the safety culture of hospitals from the perspective of nurses in four European countries, including Croatia, Hungary, Spain, and Sweden. Design: A comparative mixed methods study with a convergent parallel design. Methods: Data collection included a survey, participant interviews, and workplace observations. The sample was nurses working in the internal medicine, surgical, and emergency departments of two public hospitals from each country. Survey data (n = 538) was collected with the Hospital Survey on Patient Safety Culture (HSOPSC) and qualitative date was collected through 24 in-depth interviews and 147 h of non-participant observation. Survey data was analyzed descriptively and inferentially, and content analysis was used to analyze the qualitative data. Results: The overall perception of safety culture for most dimensions was ‘adequate’ in Sweden and ‘adequate’ to ‘poor’ in the other countries with inconsistencies identified between survey and qualitative data. Although teamwork within units was the most positive dimension across countries, the qualitative data did not consistently demonstrate support, respect, and teamwork as normative attributes in Croatia and Hungary. Staffing and workload were identified as major areas for improvement across countries, although the nurse-to-patient ratios were the highest in Sweden, followed by Spain, Hungary, and Croatia. Conclusions: Despite all countries being part of the European Union, most safety culture dimensions require improvement, with few measured as good, and most deemed to be adequate to poor. Dimension level perceptions were at times incongruent across countries, as observed patient safety practices or interview perspectives were inconsistent with a positive safety culture. Differences between countries may be related to national culture or variability in health system structures permitted by the prevailing European Union health policy.

Towards a better understanding of police experience: An assessment of the unique shifts, crime areas, and duty assignments that officers have worked

Using the survey data from 791 officers in a large western police department in the United States, the current study assesses how officers’ unique work experiences (i.e., shifts, crime areas, and duty assignments) vary and culminate throughout a career in policing. Findings provide a glimpse into the early socialization and work experiences of novice officers and how experiences manifest across officers as they gain years on the job. The results also show that there is particularly high variation in the career work experiences amongst the most tenured officers, which calls into question the validity of using only length of service to measure officer experience. This study closes by discussing the implications that these findings have for future research and practice.

Post-Migration Education Among Refugees in the Netherlands

Refugees face significant barriers in the labor markets of western countries due to limited transferability of educational credentials. Post-migration education can increase refugees’ chances in the labor market, but little is known about the prevalence and underlying patterns of such post-secondary educational investments. I contribute to the literature by analyzing survey data from the Netherlands on post-migration education among more than 3,000 adult refugees who come from Afghanistan, Iran, Iraq, former Yugoslavia, and Somalia. I find that refugees’ investments in schooling depend on both pre- and post-migration characteristics. Results show that post-migration schooling is more common among adult refugees who are higher educated, who arrived at a younger age, who have applied for recognition of their foreign education, and who have (successfully) participated in integration and/or language courses. When refugees are kept in an asylum center for a longer time, they are less likely to invest in post-migration education.

Sentiment Analysis of Social Survey Data for Local City Councils

Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data.

Microestimates of wealth for all low- and middle-income countries

Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty maps are out of date or exist only at very coarse levels of granularity. Here we develop microestimates of the relative wealth and poverty of the populated surface of all 135 low- and middle-income countries (LMICs) at 2.4 km resolution. The estimates are built by applying machine-learning algorithms to vast and heterogeneous data from satellites, mobile phone networks, and topographic maps, as well as aggregated and deidentified connectivity data from Facebook. We train and calibrate the estimates using nationally representative household survey data from 56 LMICs and then validate their accuracy using four independent sources of household survey data from 18 countries. We also provide confidence intervals for each microestimate to facilitate responsible downstream use. These estimates are provided free for public use in the hope that they enable targeted policy response to the COVID-19 pandemic, provide the foundation for insights into the causes and consequences of economic development and growth, and promote responsible policymaking in support of sustainable development.