Modeling strategic group dynamics: A hidden Markov approach

With competition playing a critical role in market-based strategic planning and implementation, identifying and understanding competiton and competitive dynamics has become critical. In this vein, the strategic groups perspective has emerged as a powerful means to understand such competitive phenomena. Empirical approaches to model competitive dynamics within the strategic groups framework, however, have been piece meal as researchers typically resort to distinct sequential analysis by time period. To overcome the limitations of these simplistic approaches, we develop a hidden Markov model to study strategic group (competitive) dynamics. In this approach, we explicitly account for competitive dynamics over time by modeling strategic group memberships as latent states that follow a first-order Markov process. Thus, we explictly model the notion that firms adopt their strategy for the next time period based on their current strategy and respective outcomes. We illustrate the model with longitudinal data from COMPUSTAT on 63 public banks from the tri-state region of NY-OH-PA. The results show the proposed model to be superior to a number of viable alternative approaches that have been suggested in the literature. We find the existence of three strategic groups: the leveraged group has low current assets compared to current liabilities, high debt to equity, and high total borrowing to assets. The lending group consists of the largest banks that focus on lending with high ratios of gross loans to securities and gross loans to deposits. The balanced group has the largest number of banks where the values of the financial and product ratios are intermediate compared to the leveraged and lending groups. The asymmetries in the switching probabilites are also evident as there seems to be a higher probability of switching into the balanced group than switching out of this group. The switching probabilites are symmetric between the the leveraged and lending groups.     

Detecting Supply Chain Innovation Potential for Sustainable Development

In a world of limited resources, it could be argued that companies that aspire to be good corporate citizens need to focus on making best use of resources. User value and environmental harm are created in supply chains and it could therefore be argued that company business ethics should be extended from the company to the entire value chain from the first supplier to the last customer. Starting with a delineation of the linkages between business ethics, corporate sustainability, and the stakeholder concept, this article argues that supply chains generally have a great innovation potential for sustainable development. This potential could be highlighted with system thinking and the use of change management knowledge, promoting not only innovations within technology but also within organizational improvement. We propose process models and performance indicators as means of highlighting improvement potential and thus breaking down normative business ethics’ requirements to an opertionalizable corporate level: Good business ethics should focus on maximizing stakeholder value in relation to harm done. Our results indicate that focusing on supply chains reveals previously unknown innovation potential that seems to be related to limited system understanding. The assumption is that increased visibility of opportunities will act as a driver for change. Results also highlight the importance of focusing on sustainability effects of the core business and clearly relating value created to harm done.     

Nachhaltige Weiterbildungen

Implementierung von Expertenstandards anhand eines Multiplikatorenmodells - Multiplikatoren werden eingesetzt, um theoretisches Wissen im beruflichen Alltag effizienter anzuwenden. Dieses Model wird inzwischen auch bei der Implementierung von Expertenstandards in der station?ren Altenpflege eingesetzt: Speziell geschulte Mitarbeiter sollen sicherstellen, dass die Umsetzung und Anwendung der Standards am Arbeitsplatz nachhaltig gelingt. Wie l?sst sich aber der hierzu notwendige Lerntransfer sicherstellen?     

Aid Delivery through Non‐governmental Organisations: Does the Aid Channel Matter for the Targeting of Swedish Aid?

This paper analyses whether aid channelled through non‐governmental organisations (NGOs) is less affected by selfish donor motivations and better targeted to needy recipient countries than aid distributed by state agencies. We employ Tobit (and Probit) models and make use of an exceptionally detailed database that allows an assessment of the allocation of Swedish aid channelled through NGOs in comparison to the allocation of Swedish official aid. Our analysis provides mixed results. On the one hand, NGOs appear to be altruistic as far as available indicators on political and commercial motivations of aid can tell. On the other hand, needs‐based targeting of aid by NGOs turns out to be surprisingly weak. GDP per capita of recipient countries shapes the allocation of official aid, but not that of aid channelled through NGOs. The headcount of absolute poverty has a significantly positive effect on aid allocation, but its impact is not particularly strong when NGOs are involved. Overall, the Swedish case supports the sceptical view that NGOs are not necessarily superior donors compared to state aid agencies.     

PRICING AND HEDGING OF DERIVATIVES BASED ON NONTRADABLE UNDERLYINGS

This paper is concerned with the study of insurance related derivatives on financial markets that are based on nontradable underlyings, but are correlated with tradable assets. We calculate exponential utility‐based indifference prices, and corresponding derivative hedges. We use the fact that they can be represented in terms of solutions of forward‐backward stochastic differential equations (FBSDE) with quadratic growth generators. We derive the Markov property of such FBSDE and generalize results on the differentiability relative to the initial value of their forward components. In this case the optimal hedge can be represented by the price gradient multiplied with the correlation coefficient. This way we obtain a generalization of the classical “delta hedge” in complete markets.     

Clusters,Chains and Compliance: Corporate Social Responsibility and Governance in Football Manufacturing in South Asia

A recent concern in the debate on corporate social responsibility (CSR) in developing countries relates to the tension between demands for CSR compliance found in many global value chains (GVCs) and the search for locally appropriate responses to these pressures. In this context, an emerging and relatively understudied area of interest relates to small firm industrial clusters. Local clusters offer the potential for local joint action, and thus a basis for improving local compliance on CSR through collective monitoring and local governance. This article explores the interrelationship between global governance, exercised through GVC ties, and local governance, via cluster institutions, in ensuring compliance with CSR pressures. It undertakes a comparative analysis of two leading export-oriented football manufacturing clusters in South Asia that have both faced common challenges on child labour. The article shows that both forms vertical and horizontal governance have played a part in shaping the response of the two clusters on child labour. Moreover, these two distinct forms of governance have also led to quite differentiated outcomes in terms of forms of work organization and child labour monitoring. This raises broader questions on how global CSR demands can locally be better embedded and the conditions under which football stitchers labour in these new work forms.     

The changing consumer in the Netherlands : Recent changes in environmental variables and their consequences for future consumption and marketing

Changes in many environmental (exogenous) factors during the eighties and early nineties affect marketing management and consumer behaviour in the Netherlands. Some of these factors relate to the effects of the economic recessions in the early eighties and the early nineties. Other factors are autonomous trends in a number of economic, demographic, and cultural factors. These factors determine a “macro marketing mix” for marketing management decisions of companies. In this article, we discuss the changing consumer environment and its impact on production and retailing of consumer goods and services in the Netherlands for the last decade of this century. This information on the Netherlands, as well as on the other nations of the European Community, is relevant for marketers operating in, or considering entering, the Dutch market. For governmental decision makers and scientists this information on future consumption and marketing is relevant for their policy and research.     

COLLECTION OF RELIABLE FARM LEVEL DATA IN LDC's

This paper analyses the difficulties involved in timely processing of farm level survey data in LDC's using a main-frame computer. It then discusses the potential role of micro-computers used in the field to speed up and improve the quality of data collection.