Overeducation of Young Workers in Spain: How Much Does the First Job Matter? Social Indicators Research

This article contributes to recent overeducation literature on the impact of an initial education mismatch on workers’ future careers. Specifically, using the 2009 ad-hoc module of the Spanish Labour Force Survey, we quantify the differences in the probability of overeducation depending on the quality of individuals’ first match. To do this, we apply an extension of the recursive bivariate probit model, which allows potential endogeneity problems to be taken into account, as well as a dissimilar impact of the initial match for workers with different educational attainment. The results indicate that overeducation is a trap, since young workers who were mismatched in their first job are 40.2 percentage points more likely to be overeducated in a later one than those who were not. When decomposing this difference in two parts, one related to the pure effect of the initial mismatch and another one related to workers’ characteristics, we conclude that the pure effect is more important, and it depends on educational attainment.     

Managing Retail Budget Allocation between Store Labor and Marketing Activities

The performance of a retail store depends on its ability to attract customer traffic, match labor with incoming traffic, and convert the incoming traffic into sales. Retailers make significant investments in marketing activities (such as advertising) to bring customers into their stores and in‐store labor to convert that traffic into sales. Thus, a common trade‐off that retail store managers face concerns the allocation of a store's limited budget between advertising and labor to enhance store‐level sales. To explore that trade‐off, we develop a centralized model to allocate limited store budget between store labor and advertising with the objective of maximizing store sales. We find that a store's inherent potential to drive traffic plays an important role, among other factors, in the relative allocation between advertising and store labor. We also find that as advertising instruments become more effective in bringing traffic to stores, managers should not always capitalize this effectiveness by increasing their existing allocations to advertising. In addition, we discuss a decentralized setting where budget allocation decisions cannot be enforced by a store manager and present a simple mechanism that can achieve the centralized solution. In an extension, we address the budget allocation problem in the presence of marketing efforts to shift store traffic from peak to off peak hours and show that our initial findings are robust. Further, we illustrate how the solution from the budget allocation model can be used to facilitate store level sales force planning/scheduling decisions. Based on the results of our model, we present several insights that can help managers in budget allocation and sales force planning.     

Leadership and followership identity processes: A multilevel review

A growing body of leadership literature focuses on leader and follower identity dynamics, levels, processes of development and outcomes. Despite the importance of the phenomena, there has been surprisingly little effort to systematically review the widely dispersed literature on leader and follower identity. In this review we map existing studies on a multilevel framework that integrates levels-of-the self (individual, relational and collective) with the levels-of-analysis (intrapersonal, interpersonal and group) on which leader or follower identity work takes place. We also synthesize work from multiple research paradigms, such as social psychology experimental studies, narrative accounts of leaders' identity work and field studies on antecedents, outcomes, mediating mechanisms and boundary conditions. Finally, we outline implications for leadership development and call attention to key themes we see ripe for future research.     

Paternal Risk Factors for Child Maltreatment and Father's Participation in a Primary Prevention Program in Germany

ABSTRACT

Across the globe, the research into the influence of paternal risk and protective factors on the family, as well as on the involvement of fathers in family-related interventions, is lacking. This study utilized 506 families and examined the characteristics of fathers in psychosocially stressed families and associations between paternal risk factors (PRFs: mental health disorder, physical health disorder, young paternity, unemployment, absence of father) and family risk factors (FRFs: problematic financial situation, problematic housing situation, social isolation) for child maltreatment. The identification of PRFs and FRFs was carried out using information from consultations with social education workers and from a risk inventory completed by the mothers. The data analysis revealed an increased incidence of economic problems found in families with fathers having mental health issues, fathers under the age of 22, and unemployed fathers or single mothers. Other factors such as social isolation occurred more often in families with a single mother. The present study underlines the importance of a father's involvement for young families. Future research and program recommendations should always systematically include the father's role in family-related interventions.     

The Perishability of Online Grocers*

In this article we explore the profitability of different operations models used by online grocers and develop a linear demand model in a competitive setting to better understand the trade‐offs made by two competing online grocers in choices for distribution strategy (leverage or direct) and product focus (perishable or nonperishable). We find that the results derived in the duopoly setting are different from those in a monopolistic setting. Specifically, we determine that there is a threshold value for the secondary competitive effects in the demand function that determines how the prices and profitability of an online grocer will be affected by the supply chain length of its competitor. There is also a threshold value for the ratio of supply chain lengths of the two competitors that determines whether product perishability increases or decreases profits. We demonstrate that the existence of this threshold is robust when considering capacity constraints. Further, we show, assuming that supply chain length can be optimized, how the relative size of the infrastructure change cost (when compared with that of the competitor) coupled with the perishability of the product determines the profitability of an investment leading to a shorter supply chain.     

Explaining ambidextrous leadership in the aerospace and defense organizations

Researchers have increasingly been using the term of organizational ambidexterity to denote the simultaneous use of exploration and exploitation in organizations. Exploration refers to innovation, whereas exploitation addresses cost efficiency. However, despite the plethora of research output on ambidexterity, very few studies are actually providing insights into what specific behaviors and leadership styles accomplish ambidexterity and how organizational constraints influence ambidextrous leadership. In this research, we aim to explain the key properties of ambidextrous leadership, where we propose that ambidexterity is most efficiently promoted by ambidextrous leaders who combine two leadership styles: transformational leadership and transactional leadership. In our study, we associate transformational leadership to exploration, whereas transactional leadership is linked to exploitation. We conduct a research on ambidextrous leadership in the aerospace and defense organizations while also taking into account how organizational structure and environmental dynamism impact leadership styles. The results of our research reveal that both leadership styles are present at the senior management level. Top management, however, mostly uses transactional leadership in part because of structural and environmental constraints while also employing some limited form of transformational leadership style. Therefore, our study concludes that in this particular field the ambidextrous leaders are primarily focused on exploitative activities, while only a limited amount of their time is being allocated on exploration-oriented objectives.     

Cost‐Benefit Analysis for Optimization of Risk Protection Under Budget Constraints

Cost‐benefit analysis (CBA) is commonly applied as a tool for deciding on risk protection. With CBA, one can identify risk mitigation strategies that lead to an optimal tradeoff between the costs of the mitigation measures and the achieved risk reduction. In practical applications of CBA, the strategies are typically evaluated through efficiency indicators such as the benefit‐cost ratio (BCR) and the marginal cost (MC) criterion. In many of these applications, the BCR is not consistently defined, which, as we demonstrate in this article, can lead to the identification of suboptimal solutions. This is of particular relevance when the overall budget for risk reduction measures is limited and an optimal allocation of resources among different subsystems is necessary. We show that this problem can be formulated as a hierarchical decision problem, where the general rules and decisions on the available budget are made at a central level (e.g., central government agency, top management), whereas the decisions on the specific measures are made at the subsystem level (e.g., local communities, company division). It is shown that the MC criterion provides optimal solutions in such hierarchical optimization. Since most practical applications only include a discrete set of possible risk protection measures, the MC criterion is extended to this situation. The findings are illustrated through a hypothetical numerical example. This study was prepared as part of our work on the optimal management of natural hazard risks, but its conclusions also apply to other fields of risk management.     

Traffic‐Based Labor Planning in Retail Stores

Staffing decisions are crucial for retailers since staffing levels affect store performance and labor‐related expenses constitute one of the largest components of retailers’ operating costs. With the goal of improving staffing decisions and store performance, we develop a labor‐planning framework using proprietary data from an apparel retail chain. First, we propose a sales response function based on labor adequacy (the labor to traffic ratio) that exhibits variable elasticity of substitution between traffic and labor. When compared to a frequently used function with constant elasticity of substitution, our proposed function exploits information content from data more effectively and better predicts sales under extreme labor/traffic conditions. We use the validated sales response function to develop a data‐driven staffing heuristic that incorporates the prediction loss function and uses past traffic to predict optimal labor. In counterfactual experimentation, we show that profits achieved by our heuristic are within 0.5% of the optimal (attainable if perfect traffic information was available) under stable traffic conditions, and within 2.5% of the optimal under extreme traffic variability. We conclude by discussing implications of our findings for researchers and practitioners.