Common good leadership in business management: an ethical model from the Indian tradition

While dominant management thinking is steered by profit maximisation, this paper proposes that sustained organisational growth can best be stimulated by attention to the common good and the capacity of corporate leaders to create commitment to the common good. The leadership thinking of Kautilya and Ashoka embodies this principle. Both offer a common good approach, emphasising the leader's moral and legal responsibility for people's welfare, the robust interaction between the business community and the state, and the importance of moral training of leaders in identifying and promoting the common good. We argue that the complex process of re‐orientating corporate priorities towards the common good requires alertness and concerted effort if both business and society are to truly benefit. As Ashoka said: ‘A good deed is a difficult thing’.     

Angst vor der Angst

Den Teufelskreis durchbrechen — Angst zu haben ist normal. Was aber, wenn in allt?glichen Situationen ?ngste und Panikattacken auftreten oder gar allein der Gedanke an erlebte ?ngste ?ngstigt? Wenn die „Alarmanlage“ Angst gest?rt ist und st?ndig „Fehlalarme“ auftreten? Wie k?nnen Angsterkrankte den Teufelskreis durchbrechen und wie k?nnen Pflegende dabei entscheidend weiterhelfen?     

Supply Chain Management Competency and Firm Financial Success

Supply chain management (SCM) plays a major role in creating (or destroying) shareholder value by influencing the three major drivers of firm financial performance: revenue, operating costs, and working capital. Yet, the relationship between SCM competency and firm financial performance is not well‐established. Drawing on the resource‐based view of the firm, this study assesses this relationship using Delphi‐style opinion data from AMR Research’s Supply Chain Top 25 rankings to assess SCM competency and Altman’s (1968) Z‐score statistic as the measure of financial success. The study findings show that firms recognized by industry experts for SCM competency have significantly higher Z‐scores than their close competitors and industry averages.     

The transfer of Tax Increment Financing (TIF) as an urban policy for spatially targeted economic development

Urban policy transfer between the US and UK has long been of interest to researchers and practitioners. Given the recent wider context of reduced direct funding and the absence of a coherent regeneration policy, this paper considers the introduction of Tax Increment Financing (TIF) to the UK as a method of stimulating spatially targeted economic development initiatives. The paper explores whether TIF could be considered a form of policy transfer, and in doing so uncovers whether the transfer of TIF could – (a) be successful and unsuccessful under certain circumstances; (b) require the actions of certain stakeholders; and (c) be enabled via prescribed frameworks and negotiation. The results are evidenced using qualitative approaches and find that TIF is more of a modified policy ‘idea’ rather than transfer. Further discussion argues that TIF can be successful, if it considers flexible but local elements and has the capacity to balance stakeholders for development brokerage.     

Challenges for land system science

While considerable progress has been made in understanding land use change, land system science continues to face a number of grand challenges. This paper discusses these challenges with a focus on empirical land system studies, land system modelling and the analysis of future visions of land system change. Contemporary landscapes are contingent outcomes of past and present patterns, processes and decisions. Thus, empirical analysis of past and present land-use change has an important role in providing insights into the socio-economic and ecological processes that shape land use transitions. This is especially important with respect to gradual versus rapid land system dynamics and in understanding changes in land use intensity. Combining the strengths of empirical analysis with multi-scale modelling will lead to new insights into the processes driving land system change. New modelling methods that combine complex systems thinking at a local level with macro-level economic analysis of the land system would reconcile the multi-scale dynamics currently encapsulated in bottom-up and top-down modelling approaches. Developments in land use futures analysis could focus on integrating explorative scenarios that reflect possible outcomes with normative visions that identify desired outcomes. Such an approach would benefit from the broad and in-depth involvement of stakeholders in order to link scientific findings to political and societal decision-making culminating in a set of key choices and consequences. Land system models have an important role in supporting future land use policy, but model outputs require scientific interpretation rather than being presented as predictions. The future of land system science is strongly dependent on the research community's capacity to bring together the elements of research discussed in the paper, via empirical data collection and analysis of observed processes, computer simulation across scale levels and futures analysis of alternative, normative visions through stakeholder engagement.     

Decision parameters in global R&D management

This paper addresses the question of which variables have what kind of impact on the decision to locate new R&D facilities in countries different from the home country of a corporation. In the first section of the paper we demonstrate the complexity of this question by referring to empirical research, managerial statements and literature. We then develop a conceptual model for the location decision of international R&D activities. This is based on Porter's (1990) framework of the factors constituting the competitive advantage of nations. In the final section of this paper we show how such a model helps us to understand and also to explain a number of management issues related to global R&D activities.     

USING RANDOMIZED CONTROL DESIGNS IN EVALUATING SOCIAL SECTOR PROGRAMS IN DEVELOPING COUNTRIES

Seven case studies—from Bolivia, Colombia, Indonesia,Mexico, Nicaragua, Taiwan (China), and Turkey—demonstratethe feasibility of conducting rigorous impact evaluations indeveloping countries using randomized control designs. Thisexperience, covering a wide variety of settings and social programs,offers lessons for task managers and policymakers interestedin evaluating social sector investments. The main conclusions are: first, policymakers interested inassessing the effectiveness of a project ought to consider arandomized control design because such evaluations not onlyare feasible but also yield the most robust results. Second,the acute resource constraints common in developing countriesthat often make program rationing unavoidable also present opportunitiesfor adopting randomized control designs. Policymakers and programmanagers need to be alert to the opportunities for buildingrandomized control designs into development programs right fromthe start of the project cycle because they, more than academicresearchers or evaluation experts, are in the best positionto ensure that opportunities for rigorous evaluations are exploited.      

Market Power,Efficiency and the Dispersion of Systematic Risk

A number of studies have used the Capital Asset Pricing Model (CAPM) to integrate product market and financial theories of the firm. We reexamine the relationship between product market structure and systematic risk at the firm and industry level. We show that theory yields no testable implications at the firm level. We show, however, that there is a relationship between the intraindustry dispersion of systematic risk and industry concentration which depends on the causes and consequences of concentration. Estimates of the relationship between the intraindustry variance of and concentration for a 1987 cross-section of U.S. industries suggest that concentration allows larger firms to exercise market power.