Dynamic managerial capabilities: Scale development and validation

Studies on dynamic managerial capabilities still have a rather theoretical nature, and there is great difficulty in finding a valid, reliable instrument to measure this construct. The present study contributes to solving this problem: It aims to develop and validate a scale to measure dynamic managerial capabilities. In this investigation, we develop a scale for three factors related to dynamic managerial capabilities: human capital, managerial cognition (already described in the literature), and relationship networks. The prominent finding in this research is the factor that is referred to here as relationship networks.     

Measuring customer experience in service: A systematic review

The aim of this systematic review is to identify how customer experience in the service sector has been measured in relevant publications in the marketing field. A sample of 33 papers was collected from two electronic databases—the Web of Science (Thomson Reuters) and Scopus (Elsevier)—covering a large number of publications. After analyzing the articles and reviewing the customer experience literature, the following are our main contributions: (i) clarification of the concepts that appear in the literature review of customer experience in the service sector; (ii) classification of the variables, scales, and constructs related to customer experience in service; (iii) demonstration of the service experience as the preponderant construct that is used to measure customer experience in service; and (iv) proposal of a new dimension—the concept of ‘pre-experience’—to measure customer experience in service. These contributions can provide a more solid basis for measuring customer experience in service.     

The nonobserved economy in the European Union

To better understand the share of the nonobserved economy (NOE) in the European Union, especially on the PIIGS, we estimate, through the multiple indicators multiple causes model, the path between 1980 and 2013. The model includes (i) the tax burden (disaggregated into direct and indirect taxes), a proxy of regulation burden, the unemployment rate and self-employment as causes of the NOE economy; (ii) the GDP and the labour force participation ratio as indicators of the NOE economy. In particular, the estimated weight of NOE as a percentage of official GDP was always higher in the PIIGS group.     

Dyadic Exploration of the Relationship of Leisure Satisfaction,Leisure Time,and Gender to Relationship Satisfaction

The stress suppressing model proposes that sufficient resources reduce stress. The stress exposure model suggests that certain factors expose individuals to more stress. The current study tested these two models by assessing the within-person lagging effect of leisure time on perceived severity of daily stressors. Analyzing eight-day diary data (N=2,022), we found that having more leisure time than usual on a day reduced perceived severity of daily stressors the next day and that the decrease in severity became larger with further increase in leisure time. Additionally, the effect is much stronger among busy individuals who usually had little leisure time. The findings demonstrated an accelerated suppressing effect that differed between-person, and the lagging effect affords stronger implication for causality than correlational analysis.     

Optimization approach to depot location and trip selection in one-way carsharing systems

In this paper, we present an optimization approach to depot location in one-way carsharing systems where vehicle stock imbalance issues are addressed under three trip selection schemes. The approach is based on mixed-integer programming models whose objective is to maximize the profits of a carsharing organization considering all the revenues and costs involved. The practical usefulness of the approach is illustrated with a case study involving the municipality of Lisbon, Portugal. The results we have obtained from this study provided a clear insight into the impact of depot location and trip selection schemes on the profitability of such systems.     

Estimating Risk‐Adjusted Costs of Financial Distress

The search for the optimal, or value‐maximizing, capital structure involves weighing the expected benefits of higher leverage against the expected “costs of financial distress.” These costs include not only the direct costs of reorganization, but less quantifiable effects of financial trouble such as damage to the firm's reputation, the loss of key employees and customers, and the loss of value from forgone investment opportunities. This article proposes a new method for valuing expected financial distress costs. While researchers have provided estimates of the costs associated with financial distress when it takes place, whether or when these costs will be incurred is, of course, unknown at the time the financing decision. As a result, the “correct” discount rate for valuing expected distress costs is difficult to derive. Instead of adjusting the discount rate to reflect historical default rate probabilities, the authors' method uses “risk‐neutral” probabilities of encountering distress that allow for discounting at the risk‐free rate. The risk‐neutral probabilities of default are derived by incorporating the systematic risk premia implicit in corporate bond yield spreads. This method results in a significant increase in estimates of financial distress costs. In a simple example presented by the authors, distress costs estimated at about 1.6% of firm value using the conventional method turn out to run about 5% after adjusting for the increased systematic risk associated with financial distress.