How a Firm's Domestic Footprint and Domestic Environmental Uncertainties Jointly Shape Added Cultural Distances: The Roles of Resource Dependence and Headquarters Attention

Even though many firms conduct most of their business domestically, international management research has remained remarkably silent on the role of a firm's domestic footprint in its internationalization strategy. We shed light on that role by exploring how the size of a firm's domestic footprint influences the cultural distance that the firm adds to its country portfolio when expanding internationally. Integrating resource dependence theory and the attention‐based view, we hypothesize that a firm's domestic footprint has a negative relationship with added cultural distance (ACD), and that domestic policy uncertainty strengthens this relationship whereas domestic demand uncertainty weakens it. We find robust support for our hypotheses in a sample of the world's largest retailers covering the period 2000–07, indicating that a firm's domestic footprint and domestic environmental uncertainties jointly shape cross‐cultural expansion strategies. Our findings suggest that ACDs reflect headquarters executives' desire to avoid ineffective foreign expansions, hinting at possible biases in studies of the performance effects of distance.     

Forecasting Macroeconomic Labour Market Flows: What Can We Learn from Micro‐level Analysis?

Forecasting labour market flows is important for budgeting and decision‐making in government departments and public administration. Macroeconomic forecasts are normally obtained from time series data. In this article, we follow another approach that uses individual‐level statistical analysis to predict the number of exits out of unemployment insurance claims. We present a comparative study of econometric, actuarial and statistical methodologies that base on different data structures. The results with records of the German unemployment insurance suggest that prediction based on individual‐level statistical duration analysis constitutes an interesting alternative to aggregate data‐based forecasting. In particular, forecasts of up to six months ahead are surprisingly precise and are found to be more precise than considered time series forecasts.     

Modelling spatial regimes in farms technologies

We exploit the information derived from geographical coordinates to endogenously identify spatial regimes in technologies that are the result of a variety of complex, dynamic interactions among site-specific environmental variables and farmer decision making about technology, which are often not observed at the farm level. Controlling for unobserved heterogeneity is a fundamental challenge in empirical research, as failing to do so can produce model misspecification and preclude causal inference. In this article, we adopt a two-step procedure to deal with unobserved spatial heterogeneity, while accounting for spatial dependence in a cross-sectional setting. The first step of the procedure takes explicitly unobserved spatial heterogeneity into account to endogenously identify subsets of farms that follow a similar local production econometric model, i.e. spatial production regimes. The second step consists in the specification of a spatial autoregressive model with autoregressive disturbances and spatial regimes. The method is applied to two regional samples of olive growing farms in Italy. The main finding is that the identification of spatial regimes can help drawing a more detailed picture of the production environment and provide more accurate information to guide extension services and policy makers.     

International trade of GMO-related agricultural products

This paper examines the international trade of a variety of genetically modified (GM) food products over a 27-year period (1984–2011) with data from the United Nations using the tools of social network analysis. The results indicate that each of the different crops have a distinctive pattern of trade that has changed over time due to a number of different factors. Also, trade in agricultural commodities became more diversified over time, dominated less by the United States and other nations central in the trade networks and trade in the individual GM crops was stable over time. Countries maintained their trading partners for specific crops, despite the adoption of the genetically modified varieties. The economic implications of these results are discussed for specific countries.     

Expert and entrepreneur: the unique research domain of professional service entrepreneurs

Professionals are knowledge experts who create customized solutions for clients. Many professionals practice in the context of strong professional institutions that prescribe intense socialization and codes and norms. While some professionals work as employees, many start their own firms in order to practice. Firm start-up for professionals is more prevalent than for most other occupations. While professional institutions often constraint their activities, firm start-up for professional service entrepreneurs (PSEs) involves similar entrepreneurial activities as other entrepreneurs, creating an interesting paradox worth investigating. This paper explores the uniqueness of PSEs and the firms they start, and the distinctiveness and value of research in the context of PSEs and professional service firms.     

Some reflections on past and future of nonlinear dynamics in economics and finance

This paper offers an overview of the literature on the economic and financial applications of theory of nonlinear dynamics, especially bifurcation theory. After a short introductory discussion of the first nonlinear dynamic models in social sciences and the economic relevance of the zoo of bifurcations and complicated dynamics that such models can generate, we present an overview of the literature on nonlinear dynamic models in the areas of underdevelopment, environmental poverty traps, the management of common goods, industrial organization and financial markets. The review of the literature is enriched by reflections and ideas for future research.     

Evaluation of subsidiary marketing performance: combining process and outcome performance metrics

Issues in evaluating marketing performance and devising appropriate metrics for measurement have taken center stage in marketing thought and practice in recent years. We propose an empirical model that enables a multinational enterprise (MNE) to assess the marketing performance of its subsidiaries, taking into explicit consideration the fact that tactical actions by subsidiaries contribute to the creation of assets that can be harnessed for marketing outcomes. Thus, our model captures the asset creation abilities of marketing expenditures and also takes in to account the environmental differences of the context in which each MNE subsidiary operates. We evaluate comparative, overall, and process-level (creation of market assets and market yield) marketing performance in the context of multi-country operations. This simultaneous examination of marketing process and marketing outcome performance enables a global corporation to gain strategic, operational, and diagnostic insights into the performance of its subsidiaries. Our approach is empirically illustrated with an evaluation of the marketing performance of subsidiaries of a large global corporation.     

Managed care and the near-elderly: effects of plan enrollment on functionality

This paper examines the effects of enrollment in a health maintenance organization (HMO) or a preferred provider organization (PPO) on the functional status of near-elderly adults (aged 55–64), compared to traditional fee-for-service (FFS) plans. A sample of 1306 near-elderly adults with employer-sponsored health insurance are drawn from the 2000–2002 waves of the Health and Retirement Study, a nationally representative panel survey of community-dwelling adults. Regression models are estimated to assess the effects of different types of insurance plans on functionality, as measured by whether or not the individual has any functional limitations. The potential influence of selection bias into alternative types of plans is addressed by limiting the sample to near-elders without a choice of health plans. The effects of HMOs on functionality are shown to be comparable to those of FFS plans among the general near-elderly population. However, significant adverse effects of HMO enrollment on functional status are observed among near-elders with chronic conditions. PPO enrollees have similar functional outcome to FFS enrollees, even among those with chronic conditions. The observed differences in functional outcome across plans have important implications for the practicality of managed care plans serving older adults.