Corporate financial soundness and its impact on firm performance: implications for corporate debt restructuring in Slovenia

This article studies the extent of corporate leverage and range of excessive debt of Slovenian firms during the recent financial crisis. Half of all firms (of those with some non-zero debt and at least one employee) are found to face an unsustainable debt-to-EBITDA leverage ratio beyond 4, accounting for almost 80% of total outstanding debt. Moreover, a good quarter of all firms experience debt-to-EBITDA ratios exceeding 10 and hold almost half of total aggregate net debt. We then examine how this financial distress affects firm performance in terms of productivity, employment, exports, investment and survival. We find that, while less important during the good times (pre-recession period), lack of firms’ financial soundness during the period of financial distress becomes a critical factor constraining firm performance. The extent of financial leverage and ability to service the outstanding debt are shown to inhibit firms’ productivity growth as well as the dynamics of exports, employment and investment. Micro and small firms are found to suffer relatively more than larger firms from high leverage in terms of export and employment performance during the recession period.     

Best friend or broken tool? Exploring the co-existence of humans and artificial intelligence in the workplace ecosystem

Artificial intelligence (AI) has become an important topic in business literature and strategy talk. Yet, much of this literature is normative and conceptual in nature. How organizational members perceive AI and the job role changes that come with it is, so far, largely unknown territory for both HR scholars and practitioners. We sought to investigate the relationship between humans and AI and conducted an in-depth exploratory study into the co-existence of humans and two early-stage AI-solutions, one for “low-status” automation and another for “high-status”; augmentation. We suggest that different organizational groups may engage in distinctly different sensemaking processes regarding AI, an important insight for successful HRM strategies when AI is being introduced into the workplace. Moreover, contrary to recent conceptual work, our findings indicate that AI-enabled automation and augmentation solutions may not be detached from nor exist in tension with each other. They are deeply embedded in organizational processes and workflows for which people who co-exist with the technologies must take ownership. Our findings, in part, go against discussions on AI “taking over” jobs or deskilling humans. We describe a more nuanced version of reality fluctuating around the various ways different organizational groups encounter different AI-solutions in their daily work. Finally, our study warns against unconditional technological enthusiasm, managerial ignorance of the nature of work that employees undertake in different organizational groups, and a neglect of the time and effort required to successfully implement AI-solutions that affect not only the home organization but also members of the broader ecosystem.     

Not Every Kind of Outward FDI Increases Parent Firm Performance: The Case of New EU Member States

Using a large firm-level dataset we investigate what kind of firms from new EU member states from Central and Eastern Europe (CEECs) tend to invest abroad (testing of self-selection hypothesis), and what is the impact of outward FDI on their productivity (testing of learning-by-investing hypothesis). We find that the best firms tend to self-select into outward FDI. There is also a positive effect of outward FDI on productivity growth of investing firms from CEECs, the strongest being in the case of Estonia, Romania, Czech Republic, and Slovakia. The positive impact of becoming a first-time foreign investor is relatively long lasting, but comes into effect only in investments in Western European or other CEECs and in the case of manufacturing subsidiaries.     

The perceived fairness of performance evaluation: The role of uncertainty

This paper investigates the relationship between performance evaluation procedures and managerial perceptions of procedural justice. We examine two metric and two process characteristics. Metric characteristics are the diversity of metrics used by superiors and their reliance on outcome vs. effort metrics. Regarding process characteristics, we analyse the amount of subordinate's voice in the performance evaluation process, and the extent of formalization of the process. Using uncertainty management theory, we argue that justice effects of performance evaluation procedures may not be direct but are instead conditional on the amount of task uncertainty managers face in the their job context as well as on managers’ tolerance for ambiguity. Using a sample of 178 managers from the banking industry, we find that all four performance evaluation characteristics are related to justice perceptions, yet their effect depends on the level of task uncertainty and tolerance for ambiguity. These findings explain some inconsistencies in extant studies on fairness of performance evaluation procedures.     

Export Sophistication: A Dynamic Panel Data Approach

In this article, we analyze export sophistication based on a large panel dataset (2001–2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations, we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumental-variable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.     

Mobility,risk tolerance and competence to manage risks

Migration is a risky behaviour because of the uncertainty about future wages, living conditions, changing relationships with family and friends and cultural adjustment. While there has been some research on risk and uncertainty in migration, this has mostly been approached as a form of ‘rational’ decision-making: such approaches explain why some groups of individuals are more likely than others to migrate, but are limited in explaining individual variations in behaviour within these groups. Individual migrants vs. non-migrants are self-selected in terms of tolerance of risk and uncertainty but, with very few exceptions, there has been no research on migration within the framework of risk tolerance/aversion and competence to manage risk. Moreover, existing research is based on, and constrained by the limitations of, incumbent data-sets. Drawing on a specially commissioned large-scale survey of the UK population, this paper uses principal component analysis and logistic regression to analyse the extent to which risk and risk-related measures can be used to predict four different types of mobility profiles. There are significant associations between these individual mobility characteristics and general risk/uncertainty tolerance, and competence-based tolerance. These are strongest in terms of the two most polarised mobility types: the least mobile, the Stayers, and the most mobile, the Roamers. Recognising that previous migration is exogenous, a further analysis of migration intentions, with previous migration included as an independent variable, finds the propensity for future migration is, in fact, negatively associated with previous migration, probably due to the importance of ‘pure risk’ as opposed to acquired competence via migration experience, and to life cycle considerations.     

Explaining Mortality Dynamics

Abstract

Using data for six OECD countries over the period 1950–2006, this paper studies the impact of macroeconomic fluctuations and cause of death trends on mortality dynamics in the Lee-Carter mortality forecasting model. The key results of this study are the following: (1) Periods can be identified in which the Lee-Carter mortality index k_t correlates significantly with macroeconomic fluctuations. (2) A few causes of death such as diseases of the circulatory system, influenza and pneumonia, and diabetes mellitus account for a large fraction of the variations in the Lee-Carter mortality index k_t . (3) Most cause-specific mortality rates show pronounced trends over the last few decades. These trends change the composition of deaths and alter how total mortality reacts to external factors such as macroeconomic fluctuations.     

First steps towards cross-national transfer in integrating mobility management and land use planning in the EU and Switzerland

This paper is based on research carried out in an EU Framework project, concerning the better integration of mobility management (MM) with land use planning. The objective of the paper is to analyse how, and how far, policies in this field of action can transfer from one member state to another, and to compare this to the theory of policy transfer put forward by Dolowitz and Marsh (2000), using their theory as an analytical framework, but also informing that theory. After providing a definition of this form of integration, the paper explains how far MM and land use planning are currently integrated in the EU member and other states covered in the research (Sweden, Germany, Spain, Lithuania, Poland, Slovenia, Switzerland, the UK, as well as Ireland and the Netherlands). It then presents the results of planning simulation workshops in five of these countries, where a group of planning professionals from each state considered real development sites and how MM could be integrated with the development. It shows that there is scope for transfer but concludes that barriers such as language, differing planning traditions, and the problem of transferring a new policy idea within a country will limit the scope of policy transfer significantly. Nonetheless, it sees a role for EU projects of this nature in encouraging initial consideration of new policy ideas.     

What drives passenger loyalty to traditional and low-cost airlines? A formative partial least squares approach

Based on a case study involving passengers from Lufthansa, Croatia Airlines and Germanwings, we examine the determinants of passenger loyalty among users of traditional full-service airlines and of low-cost carriers. In particular, using formative modeling the study analyzes the effects of service quality and price on carrier choice and loyalty.