Humility: Our Current Understanding of the Construct and its Role in Organizations

Since 2000, researchers and practitioners have shown increased interest in humility. This construct has been studied in disciplines ranging from organizational behaviour to positive psychology, culminating in a wealth of information that can now be analysed and reviewed through the lens of humility in organizations. This review begins by reflecting on existing conceptualizations of humility and presenting a summary of findings that reflects a greater consensus in definitional work than some researchers may realize. It then considers the progress that has been made in measuring humility by specifying key measurement strategies. It next synthesizes existing empirical findings on humility to illuminate the uniqueness of the construct. It also shows that researchers have focused on studying dependent variables that exist at multiple organizational levels and that largely comprise pro‐social and relational variables, emotional well‐being, and learning and performance outcomes. The paper concludes with recommendations for future research.     

Spatial configurations of urban forest in different landscape and socio-political contexts: identifying patterns for green infrastructure planning

Rapid urbanisation and climate change have motivated the development of urban green infrastructure (UGI) as a planning strategy to support the wellbeing of urban people and ecosystems while parallel adapting cities to climate change. Forest (tree-covered areas >0.5 ha) is a key UGI component that afford a wider range of ecosystem services and mitigate urban heat islands more effectively than non-wooded green spaces. However, understanding of spatial configurations (variation in patch size and frequency) of forests across the gradient of urbanisation and between cities is limited to case studies. This represents a considerable knowledge gap for identification of general patterns that can inform integration of forest resources in UGI planning that have value beyond the individual city level. In this study we used Geographic Information Systems to explore the spatial configuration of forests across cities located within landscapes characterised by different levels of anthropogenic modification (degree of forest cover) and socio-political contexts, i.e. all Danish and Swedish cities >10,000 inhabitants (n = 176). We applied general linear modelling to investigate the relationship between forest cover, patch size and frequency with 1) regional landscape type, 2) demographic trends 1960–2010, and 3) the gradient of urbanisation (measured in three zones: urban core (0.2 km from city boundary), urban fringe (0.2–2 km), and urban periphery (2–5 km)). Regardless of demographic trends, forest cover was lowest in cities settled in large-scale agricultural regions, higher in regions with mosaics of forest and farming, and highest in forest-dominated regions. However, in all cities forest cover was lowest in the urban zone and peaked on the urban fringe rather than on the urban periphery. Furthermore, pocket woods (0.5–2 ha) accounted for over 50 % of patches in all three urban zones, irrespective of regional landscape type. We conclude by discussing how these general patterns could inform strategies for integration of urban forests in UGI planning.     

Wellbeing in China

Partial order methodologies appear as advantageous tools to disclose evaluative trends and developments for time series as, e.g., the fragile states index (FSI). The present study focuses on the variations in the 12 individual indicators of the FSI over the years 2011–2015. The FSI includes in total 178 states and the present study analyzes both the full set of states and a subset comprising only the 28 European Union states. Clear trends are observed. Thus, on a global scale the primary importance of brain drain apparently is turned into group grievance whereas on the European scale the development discloses the increased problems associated with the increasing number of refugees and migrants as well as the declining economic situation in some states. Further the study discloses a series of so-called peculiar states, i.e., states where single indicators values are markedly higher or lower than expected when comparing to the “main stream” of indicator values for the states studied. In all cases the findings were substantiated and verified by available literature.     

Estimation bias and bias correction in reduced rank autoregressions

This paper characterizes the finite-sample bias of the maximum likelihood estimator (MLE) in a reduced rank vector autoregression and suggests two simulation-based bias corrections. One is a simple bootstrap implementation that approximates the bias at the MLE. The other is an iterative root-finding algorithm implemented using stochastic approximation methods. Both algorithms are shown to be improvements over the MLE, measured in terms of mean square error and mean absolute deviation. An illustration to US macroeconomic time series is given.     

Declining employment success of immigrant males in Sweden: Observed or unobserved characteristics?

Focusing on Nordic and Yugoslavian immigrant males, we study the determinants of employment success of natives and immigrants in Sweden. Furthermore, we investigate the reasons behind the arising gap in employment success between Swedes and immigrants from 1970 to 1990. In a decomposition analysis, we find that the main part of the decline in the employment probability of immigrants relative to Swedes over time is explained by a change in coefficients (unobserved characteristics) rather than a change in determinants (observed characteristics). Received: 22 June 1998/Accepted: 23 March 2000     

Inference and Missing Data: Asymptotic Results

In Rubin (1976) the missing at random (MAR) and missing completely at random (MCAR) conditions are discussed. It is concluded that the MAR condition allows one to ignore the missing data mechanism when doing likelihood or Bayesian inference but also that the stronger MCAR condition is in some sense the weakest generally sufficient condition allowing (conditional) frequentist inference while ignoring the missing data mechanism. In this paper it is shown that (a slightly strengthened version of) the MAR condition is sufficient to yield ordinary large sample results for estimators and test statistics and thus may be used for (asymptotic) frequentist inference.     

Effectiveness of a school-based backpack health promotion program: Backpack Intelligence

A prominent school health issue in the United States is the use of backpacks, however, there is a paucity of literature on the effectiveness of backpack safety programs. The purpose of this paper is to describe a school-based backpack health promotion program: Backpack Intelligence, report on its effectiveness, and suggest avenues for future research. Three-hundred-seventy-two 6th and 7th grade students participated in the program which was integrated into their physical education curriculum. Of those students, 242 completed post-education surveys to assess its effectiveness. Pre-education, 44% reported that their backpack was uncomfortable to carry, and 61% reported two or more warning signs that their backpack was too heavy. Only 57% wore their backpack properly and less than half organized the contents in their backpack correctly. Post-education, 63% reported the program worthwhile. Forty-two percent changed the way they used their backpack, and 93% felt knowledgeable about backpack safety, a 24% increase. Both grade and gender differences were found. Areas identified in the literature as fruitful for future research were suggested. Until we have definitive research on the link between backpack use and injury, interventions may be imperfect, but as a society we are compelled to safeguard the health of our children.     

On linear aggregation of infinitely many finitely additive probability measures

Theory and Decision - We discuss Herzberg’s (Theory Decis 78(2):319–337, 2015) treatment of linear aggregation for profiles of infinitely many finitely additive probabilities and...     

Immigration and the low-cost housing crisis: The Los Angeles area's experience

Arrivals of new immigrants and the secondary migration of other immigrants to the Los Angeles area are estimated to be as many as 180,000 each year in the 1980s. The Southern California Association of Governments found three-quarters of the immigrants were low-income minorities who are more likely to live in overcrowded enclaves and pay disproportionately high rents. Other data suggest that immigrants—many of them undocumented and Hispanic—are both victims of and contributors to the housing crisis.Although aggravated by immigration, Los Angeles' low-cost housing ills stem from broader national, social and economic trends: gentrification and other commercial conversion of low-cost housing, stagnating federal housing aid, and diminished tax and loan incentives. Skyrocketing costs have dropped the rate of home ownership well below the national average, forcing more people to rent. Condominium conversions, costly safety regulations, rent controls and successful no-growth movements also have contributed to Los Angeles' housing crisis.     

Experiments in modelling recent Danish fertility curves

This paper reports the outcome of an exercise in curve fitting to annual sets of Danish age-specific fertility rates for the years 1962 to 1971 by means of least squares. Functions fitted were a cubic spline, the Hadwiger and Coale-Trussell functions, the gamma and beta densities, two versions of a polynomial, and two of Brass's relational procedures, as well as the Gompertz curve. The spline function fitted all curves far better than any of the others. The Coale-Trussell procedure and gamma density were about equal, followed by the Hadwiger function. All of these functions fit the data well. One of the polynomials fit reasonably well, but the rest of the functions were less accurate.