Business and Social Reputation: Exploring the Concept and Main Dimensions of Corporate Reputation

Different theoretical approaches highlight the growing relevance of corporate reputation as strategic factor. Among these approaches the arguments of the Resource-Based View are special worthwhile (Grant, 1991, California Management Review 33(3), 114–135; Barney, 1999, Sloan Management Review Spring, 137–145). Nevertheless, this topic poses several methodological problems (Barney et al., 2001), as the unavailability to identify and measure this organizational factor, that is “socially complex” and intangible in its nature. In this work, using the findings of our empirical research on Spanish biotechnology firms, we carry out an identification and measurement of corporate reputation, highlighting its two key components: “business reputation” and “social reputation”. Dr. Gregorio Martín de Castro is Assistant Professor at the Business Administration Department in Universidad Complutense de Madrid (Spain). He has several years of research experience at CIC Spanish Knowledge Society Research Centre, he holds an Expert Diploma in Intellectual Capital and Knowledge Management from INSEAD (France), and he was a Post-Doctoral Research Fellow at Harvard University during 2004–2005. He is author and co-author of several papers concerning Resource-Based View, Intellectual Capital and Knowledge Management. Dr. José Emilio Navas López is Professor and Head of the Business Administration Department in Universidad Complutense de Madrid (Spain). He is author and co-author of several books and papers concerning Technology Management, Strategy and Knowledge Management. He has held the first Knowledge Management Chair in Spain at I.U. Euroforum Escorial. Dr. Pedro López Sáez is Assistant Professor at the Business Administration Department in Universidad Complutense de Madrid (Spain) and he was a Research Fellow at Harvard University during 2004–2005. He has several years of research experience at CIC Spanish Knowledge Society Research Centre and he is author and co-author of several papers concerning Resource-Based View, Intellectual Capital and Knowledge Management.     

The dynamics of entrepreneurship: hysteresis, business cycles and government policy

This article estimates two unobserved components models to explore the macrodynamics of entrepreneurship in Spain and the USA. We ask whether entrepreneurship exhibits hysteresis, defined as a macrodynamic structure in which the cyclical component of entrepreneurship has persistent effects on the natural rate of entrepreneurship. We find evidence of hysteresis in Spain, but not the USA, while in Spain business cycle output variations significantly affect future rates of entrepreneurship. The article discusses implications of the findings for the design of entrepreneurship policies.     

Training evaluation in Italian corporate universities: a stakeholder‐based analysis

Corporate universities have emerged as a mechanism for providing companies with a wide variety of training and development activities. They are a recent but under‐researched phenomenon, and given their substantial budgets, it might be expected that they would wish to evaluate what they do. The authors explore the evaluation practices of six Italian corporate universities, paying particular attention to the means by which these practices are tailored to the needs of the various stakeholders. Stakeholder‐based evaluation provides the theoretical framework for the study. The literature suggests that much evaluation of training focuses on a single stakeholder, the shareholder, and that practice draws heavily on Kirkpatrick's hierarchical model. In the context of the corporate university, however, the authors find that multi‐stakeholder evaluation is used in practice. Moreover, various aspects of corporate university performance were evaluated, and data were supplied to stakeholders depending on the nature of their involvement. Stakeholder‐based evaluation is argued to be a useful framework where there are a number of stakeholders, but training evaluation models other than the hierarchical one are needed if all relevant training factors are to be evaluated. The implications for research and practice are discussed.     

Managing demand uncertainty through order overplanning

Most techniques for managing demand uncertainty require a certain degree of stability in the environment, since they are completely or partially based on the observation of historical data. When applied to a context characterized by irregular and sporadic demand these techniques show poor performances. In fact, in such a case uncertainty management calls for the gathering of information that directly anticipates future requirements. Although contexts with irregular and sporadic demand have received only minor attention in the past, they are currently gaining ever more importance and extending their occurrence. This paper illustrates and discusses a method, called order overplanning, specifically designed to cope with uncertainty in these environments. It consists of an articulate and coherent set of forecasting procedures, planning principles and slack control techniques. From a Master Production Scheduling (MPS) perspective, order overplanning is similar to hedging and option overplanning: gross requirements are larger than expected demand. The major difference is that order overplanning uses two distinct units in the MPS and forecasting procedures: while the MPS unit is an end item or a module, the forecasting unit is a customer order. This makes order overplanning able to exploit early information generated by each customer during its purchasing process, information that otherwise would be lost. This marked advantage comes to the detriment of an increased effort of integration between Sales and Manufacturing, especially for controlling the slack created to handle uncertainty.The paper first infers the principles and procedures of order overplanning by analysing the case study of an Italian telecommunications manufacturer. Then, it discusses the main advantages and disadvantages of this method, in order to identify the main factors affecting its performances and to determine the planning environments where it fits coherently.     

Foresight on biopharmaceuticals: Designing foresight methods for Spanish biopharmaceuticals

This paper has as its starting point the analysis of the systemic failures in the Spanish Biopharmaceutical Innovation System grounded in the study carried out by the same authors for the OECD between 2002 and 2004. Based on the evidence that one of the main failures is the lack of sufficient linkages between the different actors involved in the dynamic of the system, this paper proposes third-generation foresight as an instrument of science and innovation policy for resolving the problem of systemic failures. Foresight exercises could become an important instrument for reorienting policy, building new networks and linkages among the different actors, bringing new stakeholders into the strategic debate, exploring future opportunities for investment in science and innovation activities, etc. The objective of this paper is the design of a foresight exercise on biopharmaceuticals with the aim of solving, or at least reducing, the failures of this Spanish sectoral system of innovation and in consequence making it stronger.     

The Terms of Trade and the International Transfers of Productivity Gains

In international economic relations, when movements of labour are limited and fiscal redistributive policies non-existent, changes in the terms of trade (the ratio between the prices of exports and imports) are the main driving force for the international redistribution of incomes or of productivity gains. The concept of productivity flows linked to price changes can be extended from the interindustry framework to deal with international relations bringing some new insights into the terms of trade issues. The paper develops a conceptual framework for the computation of international flows of productivity gains, taking into consideration the role of exchange rates and the meaning of Purchasing Power Parities. It is completed by a set of computations on Swiss relations with the rest of the world.     

Asset trading volume in a production economy

Judd et al. (J Finance 63: 2203–2217, 2003) show that the stationary Lucas tree model cannot generate nontrivial asset trading: Heterogenous agents will optimally choose a fixed portfolio after initial rebalancing. This paper explores asset trading volume in production economies with heterogeneous agents and dynamically complete market structures. We establish a recursive version of the Negishi approach to prove the existence of a competitive equilibrium. Furthermore, we develop a general method to solve for equilibrium portfolios in production economies within a fairly general set of complete market structures. We thus establish the theoretical reasons why production economies in general generate a nontrivial volume of asset trading even if heterogeneity of the agents is kept to a minimum. We would like to thank W. Brock, D. DeJong and, especially, H. Ennis for comments and suggestions. We also thank seminar participants at Di Tella and San Andrés Universities (Argentina), the Institute for Advanced Studies (Austria), SED Meetings 2005 (Budapest) and SAET Conference 2005 (Vigo).     

BANK EXPOSURE TO INTEREST RATE RISK: A GLOBAL PERSPECTIVE

In 1993, the Basle Committee on Banking Supervision considered whether to incorporate interest rate risk in risk-based capital requirements for international banks. At issue was whether a bank's interest rate risk varies with the country of concern. While the effects of interest rate movements on U.S. banks are well documented, the effects on banks from other countries are not. We find that bank interest rate risk varies among countries, which supports the need to capture interest rate risk differentials in the risk-based capital requirements. We also find that non-U.S. bank values are sensitive not only to domestic interest rates, but to international interest rates as well.     

Postponement Strategies for Global Downstream Supply Chains: A Conceptual Framework

Postponement is a well-known organizational concept and usually relates to the deferment in time of manufacturing and/or logistics operations. In the current global competitive landscape, situations where postponement can be applied are rapidly increasing. Faced with the wide range of customs duties and free-trade agreements currently in place, companies need to (re)design their postponement strategies to customize their products appropriately, and to the proper degree, in each market. As the actual location where operations take place has a major impact on a company’s overall performance, the spatial perspective must also be taken into account when designing global postponement strategies, alongside the conventional temporal perspective. Heretofore, the academic literature does not offer any comprehensive framework on a global scale either for handling what is known as the postponement boundary problem, or for conceptualizing the related postponement strategies. Building on previous research, the aim of the present study was to investigate the postponement concept in a global environment with a downstream focus. The intended purpose is twofold: first, to review and expand previous studies on the subject and, second, to provide some guidelines for conceptualizing global postponement strategies. A structured literature review was first conducted, followed by the development of a framework that combines both the temporal and the spatial dimensions. Finally, the framework was applied to a group of 28 business cases taken from the literature, to act as a bridge between academic theories and practitioners’ current business operations.     

Events and economic forecasting models

In the June 1972 issue of Futures, Olaf Helmer developed the idea of cross-impact analysis to include both events (singular occurrences) and trends (gradual developments).¹ The present article pursues further this idea, using an econometric forecasting model to represent the economic trends in an economy, and a sequential cross-impact method to analyse the events which could change its course. The application of this idea, also described in the article, suggests a procedure for improving the communication between model builders and final users.