Measuring Market Orientation: Exploring a Market Oriented Approach

This paper demonstrates that applications of existing approaches to measuring market orientation are myopic, non-comparative and over-reliant on the views of single respondents. Consequently, a multi-perspective, multi-informant approach for measuring market orientation is generated which focuses on gauging customers', competitors' and intra-organizational members' perceptions of the market orientation of an organization. To evaluate the psychometric properties of this approach an application of this design in a survey of manufacturing industry is subjected to tests for inter-rater reliability, scale reliability, content validity, criterion-related validity and construct validity. The conclusion of this evaluation is that the developed measure is both a reliable and valid means of gauging market orientation. The paper concludes with a series of implications for both theorists and practitioners.     

Look sharp,feel sharp,be sharp and listen — anecdotal excellence: People,places and things

While the techniques become more sophisticated, the hardware and software go through new generations and we move towards such unexplored options as internet fundraising and legal restraints, the challenges and successes in the field of fundraising and in the personality of fundraisers should not change very much: they are faced with the assignment of making the donors feel important, the causes seem attractive, and making the system move with ease and comfort for everyone concerned. The author gives strong credence to such ‘simple’ matters as appearance, health, ethics, virtue and giving attention to words as well as innuendo. The reader will learn if he or she ‘listens’ to the message of this paper; if, on the other hand, he or she is looking for a shortcut or a foolproof plan short of living and loving in the field, it will not be found — in this or any other paper. Fundraising is a synergestic system: you put everything you know together, and it comes out to equal more than the sum of its parts. Still, you keep on learning. The best fundraiser has not yet been born; the most successful campaign has not yet begun; the wisdom is still being assembled. This paper is one man's overview of where we have been, what we are doing in best practice scenarios, and what is possible if we ‘Look sharp, feel sharp, be sharp and listen’; it includes a good overview of ‘Anecdotal excellence: people, places and things’. The paper starts with a word from God and ends with a reminder for us all: ‘We must remember — to look forward!’ Copyright © 2002 Henry Stewart Publications     

Does an Industry Effect Exist for Initial Public Offerings?

We examine the impact of initial public offerings (IPOs) on rival firms and find that the valuation effects are insignificant. This insignificant reaction can be explained by offsetting information and competitive effects. Significant positive information effects are associated with IPOs in regulated industries and the first IPO in an industry following a period of dormancy. Significant negative competitive effects are associated with larger IPOs in competitive industries, those in relatively risky industries, those in high‐performing industries, and those in the technology sector. IPO firms that use the proceeds for debt repayment appear to represent a more significant competitive threat to rival firms relative to IPO firms that use their proceeds for other purposes.     

Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model

The truncated Poisson regression model is used to arrive at point and interval estimates of the size of two offender populations, i.e. drunk drivers and persons who illegally possess firearms. The dependent capture–recapture variables are constructed from Dutch police records and are counts of individual arrests for both violations. The population size estimates are derived assuming that each count is a realization of a Poisson distribution, and that the Poisson parameters are related to covariates through the truncated Poisson regression model. These assumptions are discussed in detail, and the tenability of the second assumption is assessed by evaluating the marginal residuals and performing tests on overdispersion. For the firearms example, the second assumption seems to hold well, but for the drunk drivers example there is some overdispersion. It is concluded that the method is useful, provided it is used with care.     

General‐to‐Specific Model Selection Procedures for Structural Vector Autoregressions*

Structural vector autoregressive (SVAR) models have emerged as a dominant research strategy in empirical macroeconomics, but suffer from the large number of parameters employed and the resulting estimation uncertainty associated with their impulse responses. In this paper, we propose general‐to‐specific (Gets) model selection procedures to overcome these limitations. It is shown that single‐equation procedures are generally efficient for the reduction of recursive SVAR models. The small‐sample properties of the proposed reduction procedure (as implemented using PcGets) are evaluated in a realistic Monte Carlo experiment. The impulse responses generated by the selected SVAR are found to be more precise and accurate than those of the unrestricted VAR. The proposed reduction strategy is then applied to the US monetary system considered by Christiano, Eichenbaum and Evans (Review of Economics and Statistics, Vol. 78, pp. 16–34, 1996) . The results are consistent with the Monte Carlo and question the validity of the impulse responses generated by the full system.     

DETERMINANTS OF GOODWILL AMORTIZATION PERIOD

This study investigates whether economic consequences have an effect on the length of the period over which goodwill is amortized. It finds that there is a significant relationship between the size of the firm and the length of the amortization period. It also finds, when the only firms included in the sample are those reporting debt covenant restrictions dependent in part on goodwill accounting, evidence that the length of the amortization period for goodwill is related to the firm's leverage.     

Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.     

Competition and structural change in Eastern Europe

Widely publicized reform programs for East Europe which emphasize rapid privatization are questioned on the grounds that structural changes to assure workable competition take precedence and will take years. A mix of deconcentrated state, cooperative, worker-owned, private, and foreignowned business can be workable. Import competition and antitrust legislation have auxiliary roles.