CEO burnout,managerial discretion,and firm performance: The role of CEO locus of control,structural power,and organizational factors

Despite the possibility of burnout resulting from dynamics in firms' upper echelons, little if any work has focused on chief executive officer's (CEO's) burnout and firm performance. Drawing on managerial discretion theory, this article analyzes the influence of CEO burnout on firm performance and the moderating roles of the individual (CEO locus of control), structural power (CEO duality and CEO tenure), and organizational characteristics (size, age, and resource availability) related to managerial discretion. Using a sample of 156 CEOs in Swedish firms, we find a negative association between CEOs who report higher burnout and firm performance. Our results confirm that CEO duality and resource availability ameliorate and firm size exacerbates the negative association between CEO burnout and firm performance. Contrary to our expectations, CEO locus of control, CEO tenure, and firm age do not influence this relationship. We discuss the implications of our research for upper echelons theory and strategic leadership theory.     

Emerging adult identity following adolescent experiences with psychotropic medications: A retrospective study

This study examines the perceptions of mental illness identity among a group of emerging adults based on their retrospective experiences with diagnoses and psychotropic medication use during their earlier formative adolescent years. A short questionnaire was administered via online social media platforms to volunteers between the ages of 19 and 30 and who self-identified as having taken psychotropic medication between the ages of 12 and 18 (N = 46). Correlation analysis revealed that several variables were associated with a stronger illness identity, including participant’s happiness with their medication experiences, the belief that medication made them more like their “true” selves, and the belief that their diagnosis was accurate. Content analysis of participant narratives suggested themes related to discontinuation and barriers to adherence. These results contribute to the growing knowledge base around lived experiences of psychiatric medication use and suggest further study on how to advance more informed and compassionate mental health care.     

Asymptotic properties of a generalized regression-type predictor of a finite population variance in probability sampling

A system of predictors for estimating a finite population variance is defined and shown to be asymptotically design-unbiased (ADU) and asymptotically design-consistent (ADC) under probability sampling. An asymptotic mean squared error (MSE) of a generalized regression-type predictor, generated from the system, is obtained. The suggested predictor attains the minimum expected variance of any design-unbiased estimator when the superpopulation model is correct. The generalized regression-type predictor and the predictor suggested by Mukhopadhyay (1990) are compared.     

Optimizing inventory and marketing policy for non-instantaneous deteriorating items with generalized type deterioration and holding cost rates

This paper considers an inventory system with non-instantaneous deteriorating item in which demand rate is a function of advertisement of an item and selling price. This paper aids the retailer in maximizing the total profit by determining optimal inventory and marketing parameters. In contrast to previous inventory models, an arbitrary holding cost rate and arbitrary deterioration rate have been incorporated to provide general framework to the model. First, a mathematical model is formulated and then some useful theoretical results have been framed to characterize the optimal solutions. The necessary and sufficient conditions for the existence and uniqueness of the optimal solutions are also derived. An algorithm is designed to find the optimum solutions of the proposed model. Numerical examples are included to illustrate the algorithmic procedure and the effects of key parameters are studied to analyze the behavior of the model.     

Leadership,Passion and Performance: A Study of Job Creation Projects during the Recession

In the aftermath of the economic recession that began in 2008, governmental bodies have been assisting private sector companies to create jobs. To increase financial performance under greater economic uncertainty and liquidity constraints, this study proposes that a leader's type of passion could explain why some project leaders who receive government funding succeed in creating jobs whereas others do not. Harmonious passion, a voluntary but not overpowering urge to engage in an activity, leads to higher job creation, especially under greater environmental complexity. Obsessive passion, an uncontrollable urge to engage in an activity, also leads to higher job creation, particularly under increasing environmental dynamism. Using survey data from 105 European Union projects and archival data on job creation from the EU funding agency, we find support for the proposed framework. The findings provide a basis for acknowledging the relevance of a leader's passion for environmental adaptation.     

Connecting Cash Transfers with Care for Better Child and Family Well-Being: Evidence from a Qualitative Evaluation in South Africa

Child and Adolescent Social Work Journal - Limited evidence exists of the effectiveness of combining cash transfers and family strengthening interventions in developing country contexts. This study...     

Property Loss Estimation for Wind and Earthquake Perils

This article describes the development of a generic loss assessment methodology, which is applicable to earthquake and windstorm perils worldwide. The latest information regarding hazard estimation is first integrated with the parameters that best describe the intensity of the action of both windstorms and earthquakes on building structures, for events with defined average return periods or recurrence intervals. The subsequent evaluation of building vulnerability (damageability) under the action of both earthquake and windstorm loadings utilizes information on damage and loss from past events, along with an assessment of the key building properties (including age and quality of design and construction), to assess information about the ability of buildings to withstand such loadings and hence to assign a building type to the particular risk or portfolio of risks. This predicted damage information is then translated into risk-specific mathematical vulnerability functions, which enable numerical evaluation of the probability of building damage arising at various defined levels. By assigning cost factors to the defined damage levels, the associated computation of total loss at a given level of hazard may be achieved. This developed methodology is universal in the sense that it may be applied successfully to buildings situated in a variety of earthquake and windstorm environments, ranging from very low to extreme levels of hazard. As a loss prediction tool, it enables accurate estimation of losses from potential scenario events linked to defined return periods and, hence, can greatly assist risk assessment and planning.