In search for the ideal coopetition partner: an experimental study

Coopetition (collaboration between competitors) has the potential to provide major benefits or losses to participating firms. Entering a partnership with a competitor is a strategic decision with potential long-term consequences rendering the choice of partner of key importance. Existing research has investigated partner’s strategic attributes, but not how the inter-organizational factors between coopetiting firms affect partner selection and on which layers those effects occur. We use a vignette study for reducing this gap, representing the first experimental study on the field of coopetition research. The results from our study from 874 evaluations of potential coopetition partnerships by key informants from Austria, Germany, Liechtenstein and Switzerland offer insights into how the possible partner’s role, resource alignment and the planned activity affect partner selection. The findings suggest that the partner’s role in the markets—i.e. whether it is a direct or an indirect competitor—is critical in partner selection. The planned activity and resource configuration is also found to influence the evaluation of possible coopetition partners. Overall, the results of this first experimental study in coopetition research provide important implications to both theory and practice.     

Gender Differences in the Consequences of Divorce: A Study of Multiple Outcomes

In this study, I examined gender differences in the consequences of divorce by tracing annual change in 20 outcome measures covering four domains: economic, housing and domestic, health and well-being, and social. I used data from the German Socio-Economic Panel Study (SOEP) and fixed-effects panel regression models on a sample of N = 18,030 individuals initially observed in a marital union, N = 1,220 of whom divorced across the observation period (1984–2015). Three main findings emerged from the analysis. First, men were more vulnerable to short-term consequences of divorce for subjective measures of well-being, but postdivorce adaptation alleviated gender differences in these outcomes. Second, a medium-term view on multiple outcomes showed more similarity than differences between women and men. The medium-term consequences of divorce were similar in terms of subjective economic well-being; mental health, physical health, and psychological well-being; residential moves, homeownership, and satisfaction with housework; and chances of repartnering, social integration with friends and relatives, and feelings of loneliness. Third, the key domain in which large and persistent gender differences emerged were women’s disproportionate losses in household income and associated increases in their risk of poverty and single parenting. Taken together, these findings suggest that men’s disproportionate strain of divorce is transient, whereas women’s is chronic.     

THE PLANT LOCATION DECISION IN MULTINATIONAL MANUFACTURING FIRMS: AN EMPIRICAL ANALYSIS OF INTERNATIONAL BUSINESS AND MANUFACTURING STRATEGY PERSPECTIVES

The paper combines perspectives from international business and manufacturing to examine multinational plant location decisions. The location choice in manufacturing is between integrated and independent plants, while the international choice is between a foreign and domestic plant relative to their headquarters' country. The study empirically investigates whether these choices have different plant location determinants using data from a survey of plant managers of large, multinational firms. We find more evidence that the manufacturing choices benefit from consideration of international business issues than vice versa. However, managers rank determinants associated with manufacturing strategy considerably higher than those associated with intemational business.     

The education of children in care and children in need: Who falls behind and when?

We seek to explain the development of the educational gap between children in “out‐of‐home care” (CLA), children deemed in social need (CIN), and other pupils. A cohort of 642,805 pupils aged 16 in 2013 was used to chart the educational progress of the full cohort, the CLA (n = 6,236), the CIN in 2012 or 2013 but not CLA (n = 20,384), and a sample individually matched with the CLA (n = 11,084). At age 7, attainment of the CLA and CIN was approximately 1 standard deviation lower than the cohort average and predicted attainment at 16. At this point, the persistent “CIN” (those with earlier and persistent needs) had the lowest attainment relative to others, and this declined further during secondary school. Those entering care before or during primary school had very low attainment at age 7, but their relative attainment did not decline. Attainment of CLA and CIN at age 16 likely reflects early environment, special educational needs, and poor relationships with secondary school. Policy, research, and intervention should focus on CIN as well as CLA, do so before entry to care, and take account of the onset of, and probable reasons for, educational difficulties.     

OUTCOME UNCERTAINTY,FAN TRAVEL,AND AGGREGATE ATTENDANCE

The uncertainty of outcome hypothesis (UOH) informs economists' understanding of consumer decisions to attend sporting events and team revenue generation. We develop a model of fan behavior based on standard expected utility methods which incorporates fan heterogeneity in terms of decisions to travel to away games and strong preferences for wins. The model reflects aggregate attendance outcomes across local and visiting fans, generates predictions consistent with the UOH, and gives rise to concave league-wide revenue functions. Empirical analysis of game outcomes and attendance at regular season National Basketball association games from 1979 to 2013 supports key predictions of the model. (JEL L83, D12, Z20)     

Patchwork of promises: A critical analysis of immigration policies for unaccompanied undocumented children in the United States

In 2014, the United States saw a greater than 50% increase in the number of unaccompanied children from Mexico and Central America arriving at the U.S./Mexico border, and unaccompanied children continue to migrate to the United States in consistent numbers. The dramatic increase of 2014 exposed gaps in policies aimed at supporting unaccompanied children as they await legal adjudication. This paper begins with a historic review of immigration policies in the United States aimed at supporting unaccompanied migrant children. An analytic review is provided of existing immigration policies in the Department of Homeland Security and the Office of Refugee Resettlement, highlighting the competing paradigms created by missions of security‐focused policy versus child‐centred policy. A close examination of the values that influenced policy development in this area is included, along with a discussion of how social work practice can infuse elements of social justice into immigration policy reform. Areas for future research to reform immigration policy focused on supporting unaccompanied undocumented minors are highlighted.     

Instrumental variable estimation in ordinal probit models with mismeasured predictors

Researchers in the medical, health, and social sciences routinely encounter ordinal variables such as self‐reports of health or happiness. When modelling ordinal outcome variables, it is common to have covariates, for example, attitudes, family income, retrospective variables, measured with error. As is well known, ignoring even random error in covariates can bias coefficients and hence prejudice the estimates of effects. We propose an instrumental variable approach to the estimation of a probit model with an ordinal response and mismeasured predictor variables. We obtain likelihood‐based and method of moments estimators that are consistent and asymptotically normally distributed under general conditions. These estimators are easy to compute, perform well and are robust against the normality assumption for the measurement errors in our simulation studies. The proposed method is applied to both simulated and real data. The Canadian Journal of Statistics 47: 653–667; 2019 © 2019 Statistical Society of Canada