Strategizing through analyzing and influencing the network horizon

How does a firm keep on being valuable in a network? One requirement is that the firm has a sufficient overview of the network and its dynamics. In other words, a firm's strategy depends on the firm's overview of the network—its network horizon. How comprehensive or limited should its network horizon be? Is it necessary to know the network beyond the direct counterparts? Such issues have not received much attention. In this article, we discuss network horizons and argue that limited network horizons are both inevitable and useful. However, such myopia requires that a firm's counterparts effectively and efficiently mediate between the firm and the rest of the network. Based on a case study, we introduce and discuss three mediating functions of counterparts: a joining, a relating, and an insulating function, and we claim that in order to support a firm's strategizing, managers need to analyze and influence counterparts' mediating functions and thereby the firm's network horizon.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.     

What is unemployment in Europe? Concepts and measurement in the European community household panel

The purpose in this article is to evaluate the consistency between two measures of unemployment in a cross-country context. We use the European Community Household Panel to identify unemployment at an individual level based as well on the ILO criteria for being classified as unemployed as on the individual respondent reporting to be unemployed. This opens a unique opportunity to compare unemployment measured in two different ways based on a cross European Union panel study covering the years 1994 to 2001. The two main questions addressed in this article are to which extent the two unemployment measures differ and whether transition rates out of unemployment depend on which concept we use. Both questions are answered in the affirmative. The overall conclusion is that it is important, especially in some of the EU countries, to include both measures of unemployment as guidelines and indicators for policy.     

Experience with a simulator for training ammonia plant operators

A computer-based simulator was used for training operators prior to the start-up of a new fertilizer complex which includes a 1,350-MTPD ammonia plant, two 1,100-MTPD urea plants, and a steam and power generation plant with two 18-MW gas turbines. The simulator offered many benefits, which can be used for continued education of operators and engineering studies.     

Export channel dynamics: an empirical investigation

We investigate the dynamics of export channel arrangements by modelling foreign operation method decisions as the interplay between factors that motivate switches and factors that deter them. Our model extends previous analyses by looking simultaneously at (1) no change of channel arrangement, (2) replacements of foreign intermediaries (within‐mode shifts), and (3) integration of the sales function abroad (between‐mode shifts). We use a multinomial logit model on longitudinal data from a sample of Danish exporters that had entered foreign markets through intermediaries. The results suggest that the decision to carry out within‐mode shifts (i.e. to replace an existing intermediary) is driven by a different set of factors than the decision to switch to another foreign operation mode (i.e. to in‐house operations). Copyright © 2005 John Wiley & Sons, Ltd.     

The dividend–price ratio does predict dividend growth: International evidence

Unpredictable dividend growth by the dividend–price ratio is considered a ‘stylized fact’ in post war US data. Using long-term annual data from the US and three European countries, we revisit this stylized fact, and we also report results on return predictability. We make two main contributions. First, we document that for the US, results for long-horizon predictability are crucially dependent on whether returns and dividend growth are measured in nominal or real terms, and this difference is due to long-term inflation being strongly negatively predictable by the dividend–price ratio. The impact of inflation is to reinforce real return predictability and to reduce – or change direction of – real dividend growth predictability. This provides an explanation for the strong predictability of long-horizon real returns in the ‘right’ direction, and the strong predictability of long-horizon real dividend growth in the ‘wrong’ direction, that we see in US post war data. Second, we find that predictability patterns in three European stock markets are in many ways different from what characterize the US stock market. In particular, in Sweden and Denmark dividend growth is strongly predictable by the dividend–price ratio in the ‘right’ direction while returns are not predictable. The results for the UK are mixed. Our results are robust to a number of changes in the modeling framework. We discuss the results for dividend growth predictability in terms of the ‘dividend smoothing hypothesis’.     

Modelling CSR: How Managers Understand the Responsibilities of Business Towards Society

The purpose of this article is to develop a model of how managers perceive the responsibilities of business towards society. The article is based on the survey responses of more than 1,000 managers in eight large international firms. It is concluded that the managerial perceptions of societal responsibilities differ in some respects from the mainstream models found in the corporate social responsibility (CSR) and business ethics literature. The article is an output of RESPONSE: an EU- and corporate-funded research project on managerial perceptions of CSR.     

How Economic Incentives May Destroy Social,Ecological and Existential Values: The Case of Executive Compensation

Executive compensation has long been a prominent topic in the management literature. A main question that is also given substantial attention in the business ethics literature—even more so in the wake of the recent financial crisis—is whether increasing levels of executive compensation can be justified from an ethical point of view. Also, the relationship of executive compensation to instances of unethical behavior or outcomes has received considerable attention. The purpose of this paper is to explore the social, ecological, and existential costs of economic incentives, by discussing how relying on increasing levels of executive compensation may have an adverse effect on managerial performance in a broad sense. Specifically, we argue that one-dimensional economic incentives may destroy existential, social, and systemic values that influence the manager’s commitment to ensure responsible business conduct, and have negative spillover effects that may reduce the manager’s performance. There are well-documented findings that demonstrate that reliance on sources of extrinsic motivation (such as economic incentives) may displace intrinsic motivation. Our perspective is a holistic one, in the sense that we will explore the influence of sources of extrinsic motivation on the manager’s intrinsic commitment to different types of values. We will in particular investigate how it may influence the manager’s ethical reflection and behavior or lack thereof.     

Using the budget constraint to monetarise impact assessment results

Recent developments in Life Cycle Impact Assessment (LCIA) provide a basis for reducing the uncertainty in monetarisation of environmental impacts. The LCIA method “Ecoindicator99” provides impact pathways ending in a physical score for each of the three safeguard subjects humans, ecosystems, and resources. We redefine these damage categories so that they can be measured in terms of Quality Adjusted Life Years (QALYs) for impacts on human well-being, Biodiversity Adjusted Hectare Years (BAHYs) for impacts on ecosystems, and monetary units for impacts on resource productivity.The monetary value of a QALY can be derived from the budget constraint, i.e. the fact that the average annual income is the maximum that an average person can pay for an additional life year. Since a QALY by definition is a life-year lived at full well-being, the budget constraint can be determined as the potential annual economic production per capita at full well-being. We determine this to be 74,000 EUR with an uncertainty estimate of 62,000 to 84,000 EUR. This corresponds well to the 74,627 EUR willingness-to-pay estimate of the ExternE project. Differences to other estimates can be explained by inherent biases in the valuation approaches used to derive these estimates.The value of ecosystems can be expressed in monetary terms or in terms of QALYs, as the share of our well-being that we are willing to sacrifice to protect the ecosystems. While this trade-off should preferably be done by choice modelling, only one such study was found at the level of abstraction that allows us to relate BAHYs to QALYs or monetary units. Stressing the necessity for such studies, we resort to suggest a temporary proxy value of 1400 EUR/BAHY (or 52 BAHY/QALY), with an uncertainty range of 350 to 3500 EUR/BAHY.The practical consequences of the above-described monetarisation values has been investigated by combining them with the midpoint impact categories of two recent LCIA methods, thus providing a new LCIA method with the option of expressing results in both midpoints and an optional choice between QALY and monetary units as endpoint. From our application of the new method to different case studies, it is noteworthy that resource impacts obtain less emphasis than in previous LCIA methods, while impacts on ecosystems obtain more importance. This shows the significance of being able to express impacts on resources and ecosystems in the same units as impacts on human well-being.