STRATEGIC INVESTMENT DECISION-MAKING: COMPLEXITIES, POLITICS AND PROCESSES*

This article is a preliminary report on an investigation into the processes of investment decision-making. Three case studies from three firms are presented which show disparities in a number of aspects of process, for example, the length of time taken to arrive at a decision, the number and intensity of disagreements and uncertainties encountered. Data were collected for these cases through semi-structured interviewing from multiple informants in the three organizations, thereby permitting the use of analysis of variance techniques of the different perspectives given by informants. Perceptions of the effectiveness of the decisions were also gathered. One finding from the study is that the decisions with the lowest perceived effectiveness (in firm HE) also lost support from those involved in making the decision during the process, although the decision was eventually implemented. This decision also had the least agreement amongst informants as to the main sources of disagreements. Informants of all three decisions saw effect upon product quality and productivity, fit with business strategy and competitive position of the company as the most important factors to take into account in evaluating the decisions. In firm CG, however, there were disagreements as to how the investment should be evaluated. In the conclusions to the article a disucssion is given as to the nature of evaluation procedures in relation to the developing theory of information systems.     

The Development of Corporate Charitable Contributions in the UK: A Stakeholder Analysis

This paper investigates the determinants of corporate charitable donations within a comparative study of corporate behaviour in two time periods, 1989–90 and 1998–99. The analysis is based on a longitudinal data set that includes over 400 UK listed companies. The determinants of corporate charitable donations are explored within a stakeholder model and the relationship between corporate charitable donations and a set of firm and industry variables is estimated using OLS. Particular emphasis is placed on industry effects and the impact of social and environmental stakeholders. The results highlight a significant change in behaviour between 1989–90 and 1998–99 that may reflect a strategic response by corporate decision‐makers to external concerns over corporate social responsibility. In the early period corporate charitable donations were substantially determined by profits. However, this relationship has weakened during the 1990s as firms have become increasingly responsive to stakeholder influences. The results for the later period emphasize the increasing importance of corporate visibility, and the development of social and environmental influences on corporate charitable contributions.     

Group decision-making: Head-count versus intensity of preference

This paper puts forth a framework for reshaping the group decision-making process. The proposed framework extends from the usual one-issue-at-a-time decision-making to one that involves several related issues simultaneously. Weaknesses of the traditional majority voting mechanism are first identified, and then a different voting method that takes each individual voter's sentiment into account is discussed. Specifically, a decision-maker is asked to express his/her intensity of preference for the issues encountered. Three hierarchical structures—benefits, costs, and risks—are developed to evaluate the alternatives. Due to the nature of pairwise comparisons and synthesis, the proposed method is amenable to consensus building and has higher reliability and consistency. It can be used for candidate selection, e.g. governmental election, when a large population is involved. It is also effective for resource allocation and prioritization when a small group or business is concerned. We believe the proposed approach has potential for resolving deficiencies of the conventional voting mechanism, and can be applied to many real-world problems. Its implementation on the Internet is also discussed.     

Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

Using a customer-Level marketing strategy to enhance firm performance: A review of theoretical and empirical evidence

It is becoming increasingly apparent from the literature that marketers need to consider customer-level information when they generate a marketing strategy for the firm. In this article, the authors develop a customer-focused framework that uses a marketing strategy with an overall objective of maximized financial performance. This strategy is driven by seven customer-level marketing tactics and shows how actual customer data can be used to generate an actionable marketing strategy leading to optimal levels of profitability, customer equity, and shareholder value. In addition, the authors discuss a successful implementation of this strategy for several business-to-business and business-to-consumer firms and offer insights as to how to customize an implementation strategy for any firm, along with presenting potential challenges a firm may encounter during the implementation process. Several suggestions for future research are offered to explore and harness this newly available evidence. V. Kumar (VK) (vk@business.uconn.edu) is the ING Chair Professor of Marketing and the executive director of the ING Center for Financial Services at the University of Connecticut. He spends his time by transferring his knowledge (however little it may be) to his two daughters about customer lifetime value, diffusion models, forecasting sales and market share, retailing, and marketing strategy. J. Andrew Petersen (apetersen@business.uconn.edu) is a doctoral candidate in marketing at the University of Connecticut. His research interests include customer lifetime value, word-of-mouth effects, and customer-level marketing strategy. His research has been published inMarketing Research Magazine and theJournal of the Academy of Marketing Science.     

Terrorism and its impact on economic growth and technological innovation

Recent terrorist acts, in particular the 9-11 attacks in 2001, have created disruptions in the global economy. The short-term impact had been felt in the global tourism, airline industries, as well as the financial markets. While the global economy has recovered and is adjusting to the new global realities, the longer-term impact of heightened security risk across the world can be felt in the form of higher risk premiums in asset markets, as well as a shift of resources towards dealing with terrorism. Just as World War II had accelerated the development of nuclear energy as well as a major contributing factor in the genesis of Silicon Valley, the current war against terrorism will affect both the pace and trajectory of technology trends, as efforts are focused on developing technologies to combat terrorism. In this paper, we review the effects of the current war on terrorism in terms of its impact on the economy, the allocation of resources to R&D, and the trajectory of future R&D.     

The hidden value of air transportation infrastructure

Air transportation is a key strategic asset in that it provides access to markets and thereby enables the economic development of nations. Thus, in order to maintain their competitiveness in a global economy, countries must invest in air transportation infrastructure to ensure their ability to meet current and future demand for aviation services. The objective of this paper is to develop and illustrate a methodology for evaluating the strategic value of air transportation infrastructure, in particular the benefits associated with the ability to react quickly to changes in the market. The hypothesis is that by recognizing and taking advantage of this strategic value, it may be possible to design better policies for aviation infrastructure delivery.The methodology developed here uses system dynamics to model different strategies for infrastructure delivery. These strategies are defined by three variables: the amount of capacity increase, the time to deliver the capacity and the congestion threshold that triggers the need for capacity delivery. Monte Carlo simulation is used to take into account multiple sources of uncertainty. The model shows that a strategy of capacity delivery based on small increments and short response times can yield more benefits than strategies that consider large capacity increases and long response times. Furthermore, in the specific airport example considered here, it was found that a congestion threshold of 75% should be the trigger for capacity enlargements if strategies based on small capacity increments and 1 or 5 years to increase capacity are considered. The lesson for decision-makers is that congestion delays must be addressed with foresight.     

A substitution orbit model of competitive innovations

Successful innovation and diffusion of technology can be attributed to the identification of the orbit of emerging new technologies that complement or substitute for existing technologies. This dynamism resembles the co-evolution process in an ecosystem. In an ecosystem, in order to maintain sustainable development, the complex interplay between competition and cooperation, typically observed in predator-prey systems, create a sophisticated balance. Given that an ecosystem can be used as a masterpiece system, this sophisticated balance can provide suggestive ideas for identifying an optimal orbit of competitive innovations with complement or substitution dynamism.Prompted by such a sophisticated balance in an ecosystem, this paper analyzes the optimal orbit of competitive innovations and, on the basis of an application of Lotka-Volterra equations, it reviews substitution orbits of Japan's monochrome to color TV system, fixed telephones to cellular telephones, cellular telephones to mobile Internet access service, and analog to digital TV broadcasting. On the basis of substitution orbits analyses, it attempts to extract suggestions supportive to identifying an optimal policy option in a complex orbit leading to expected orbit.Key findings include policy options that are effective in controlling parameters for Lotka-Volterra equations leading to expected orbit.     

Strategic candidacy for multivalued voting procedures

Dutta et al. (Econometrica 69 (2001) 1013) (Dutta, Jackson, and Le Breton—DJLeB) initiate the study of manipulation of voting procedures by a candidate who withdraws from the election. A voting procedure is candidate stable if this is never possible. We extend the DJLeB framework by allowing: (a) the outcome of the procedure to be a set of candidates; (b) some or all of the voters to have weak preference orderings of the candidates. When there are at least three candidates, any strongly candidate stable voting selection satisfying a weak unanimity condition is characterized by a serial dictatorship. This result generalizes Theorem 4 of DJLeB.