Managing the transfer of capabilities within multinational corporations:: the dual role of the subsidiary

In this article, the relation is explored between the external technical embeddedness of the subsidiary, its assigned role, and capability development in the MNC. It is argued that assigning roles of responsibility or mandates to certain subsidiaries can effect integration of subsidiary-developed knowledge in the MNC. Departing from literature on the market-as-networks perspective and writings from recent years on subsidiary roles, hypotheses are developed and a model outlined. The model describes a significant link between the external technical embeddedness of the subsidiary and its assigned role within the MNC, and a significant relation between the subsidiary's assigned role and its importance for other units’ capability development. The model is tested on a sample of 97 subsidiaries using the LISREL 8.3 statistical method. The final model implies that by assigning specific roles to different subsidiaries, headquarters can exploit the knowledge developed in the external environments of these subsidiaries.     

The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing

This paper discusses consequences of violating the normal distribution assumption imbedded in Structural Equation Modeling (SEM). Based on real data from a large sample customer satisfaction survey we follow the procedures as suggested in leading textbooks. We document consequences of this practice and discuss its impact on decision making in marketing.     

Erklärungsansätze für vertragswidriges Verhalten Versicherungsnehmern aus Sicht der ökonomischen Theorie

The two main purposes of this paper are an introduction to the economic analysis of insurance fraud and furthermore a derivation of factors that determine fraudulent behavior of policyholders on insurance markets. Consequently, we analyze the strategic decision problems of insurance companies and the policyholders and identify some factors that can help to reduce fraudulent behavior. In this context we evaluate two derived starting points for the combat against insurance fraud: fraud detection systems and a consequent charge policy of detected defrauders. We illustrate that both points can help to reduce the cost of fraud. Furthermore, we enhance our earlier analysis with respect to the empirical fact that some individuals care about fairness or — in the insurance fraud context — the legitimacy of their actions. Surprisingly, in some market situations these concerns of some policyholders do not lead to a lower fraud probability. Finally, we discuss how and to what extent insurance companies can influence such ethical concerns of policyholders. On that score, we distinguish insurance specific and insurance unspecific factors and their impact on the consumers attitudes towards insurance fraud.     

The Impact of Insurance Fraud Detection Systems

This article analyzes the impact of detection systems in an insurance fraud context. In a noncommitment Costly State Verification setting insurers can only detect fraudulent claims by performing costly audits, and policyholders are overcompensated by the optimal insurance contract. We show that auditing becomes more effective and overcompensation can be reduced, when insurers are able to condition their audits on the information provided by detection systems.     

Regional rigidities in the process of economic structural development

This paper outlines a framework for a vintage type analysis of structural change in production systems. By focusing on the existing industrial establishments in a region, rigidities are described with regard to (i) production techniques and input requirements, (ii) the semi-fixed location of the labour force and its specific set of production skills, (iii) the existing patterns of intersectoral deliveries. A scenario technique, utilizing programming models, is suggested as a method to study the effects on structural change of such rigidities.     

Comparative financing analysis and political economy of noncommunicable diseases

The pandemic of chronic non-communicable diseases (NCDs) poses substantial challenges to the health financing sustainability in high-income and low/middle income countries (LMICs). The aim of this review is to identify the bottle neck inefficiencies in NCDs attributable spending and propose sustainable health financing solutions. The World Health Organization (WHO) introduced the “best buy” concept to scale up the core intervention package against NCDs targeted for LMICs. Population- and individual-based NCD best buy interventions are projected at US$170 billion over 2011–2025. Appropriately designed health financing arrangements can be powerful enablers to scale up the NCD best buys. Rapidly developing emerging nations dominate the landscape of LMICs. Their capability and willingness to invest resources for eradicating NCDs could strengthen WHO outreach efforts in Asia, Africa, and Latin America, much beyond current capacities. There has been a declining trend in international donor aid intended to cope with NCDs over the past decade. There is also a serious misalignment of these resources with the actual needs of recipient countries. Globally, the momentum towards the financing of intersectoral actions is growing, and this presents a cost-effective solution. A budget discrepancy of 10:1 in WHO and multilateral agencies remains in donor aid in favour of communicable diseases compared to NCDs. LMICs are likely to remain a bottleneck of NCDs imposed financing sustainability challenge in the long-run. Catastrophic household health expenditure from out of pocket spending on NCDs could plunge almost 150 million people into poverty worldwide. This epidemiological burden coupled with population ageing presents an exceptionally serious sustainability challenge, even among the richest countries which are members of the Organization for Economic Co-operation and Development (OECD). Strategic and political leadership of WHO and multilateral agencies would likely play essential roles in the struggle that has just begun.     

Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.     

Bridging the transatlantic publishing gap: How North American reviewers evaluate European idiographic research

To a large extent there exists a gap between European and American management research reflecting the differences between nomothetic and idiographic research approaches. The paper investigates the logic used by North American reviewers when evaluating European papers based on an idiographic case study approach. Our analysis enables us to uncover the criteria used by North American reviewers and to relate them to the criteria suggested for idiographic research. We also discuss the role of writing style and structure in the North American reviewers' assessment of idiographic papers. Based on our analysis we make suggestions to editors, reviewers, and authors of idiographic papers, in order to enhance the probability for publication of idiographic, qualitative and processual research and thus to bridge the transatlantic gap.     

A combination of differentiation and consolidation theory and risk-benefit analysis to examine decisions on mastitis prevention

Abstract

Mastitis infections cause severe pain in dairy cows and are the most costly illness to farmers. This study combined differentiation and consolidation (Diff-Con) theory with risk-benefit analysis to explore how risky decisions are perceived and justified after a decision has been taken. More specifically, using survey data from 428 Swedish dairy farmers, their decisions about adopting preventive measures to control mastitis (mastitis control options, MCO) in dairy herds were examined. The analyses included group comparisons with non-parametric rank tests and use of both ordinary least squared regression and seemingly unrelated regression analysis to examine how prior adoption of MCO affects farmers’ attitudes to the MCO. The results showed that MCOs already adopted were rated higher in perceived riskiness (if not implemented) and in expected benefit (for illness prevention) than non-adopted MCOs. Having made the decision to implement a strategy increased the likelihood of that decision being perceived as more beneficial (reducing mastitis) and risky (in terms of disease increase if not implemented), irrespective of the combination of strategies used on the farm, during the post-consolidation stage. No difference in perceived illness prevalence could explain the farmers’ rating of the MCOs. These findings suggest that there may be a path dependency in farmers’ decision-making with respect to MCO. This implies that novel MCOs may have difficulty in achieving wider implementation. These results have implications for the development of strategies to communicate best practices for use of MCOs and for new research on MCOs and farmers’ decision-making.