Data sources for managerial economists

Most people think they know what market research is, and generally have a picture of a girl with a clip-board asking about voting intentions. In fact, the term ‘market research’ covers a widely varied family of activities, using different techniques to achieve different purposes. This paper describes the various combinations of research types into which a survey can fall (large sample/small sample, quantitative/qualitative, industrial/consumer, etc.) and discusses the strengths and weaknesses of the different methodologies. It then provides information about the size and structure of the market research industry in the United Kingdom.     

Throwing It All Away: Exploring Affluent Consumers’ Attitudes Toward Wasting Edible Food

The skewed allocation of food across the world population is a major concern, as the result is that some of us live in abundant supply while others spend their life in constant scarcity. While researchers have studied a variety of issues related to the amounts of food being wasted, or the waste of edible food across consumers with different demographic characteristics, less is known about the drivers of attitudes toward food waste. Based on survey data from a sample of affluent Norwegian consumers, we test how subjective food knowledge, environmental concern, age, and income are related to consumer attitudes toward wasting edible food. We find that all variables except income drive consumer attitudes. Implications for theory and public policy are offered.     

A Tutorial on Palm Distributions for Spatial Point Processes

This tutorial provides an introduction to Palm distributions for spatial point processes. Initially, in the context of finite point processes, we give an explicit definition of Palm distributions in terms of their density functions. Then we review Palm distributions in the general case. Finally, we discuss some examples of Palm distributions for specific models and some applications.     

Pure meat – Public perceptions of risk reduction strategies in meat production

Experience has shown that both the assessment and implementation of new technologies in food production are challenged by negative assessments of the technologies by the public. This article seeks to deepen our understanding of the concerns that may underlie negative attitudes to various kinds of risk reduction strategy in meat production, with the aim of distinguishing between forms of risk reduction in terms of their acceptability. The paper reports the result of a focus-group study. Six focus groups with Danish citizens (N: 5–9) were conducted during May 2006. The design of the groups took a bottom-up approach and included elements of meat quality, meat safety and risk reduction strategies. The study shows the dilemma risk reduction presents to members of the public. On the one hand, people want safe meat; on the other, the study showed that with the exception of hygiene practices, people generally have an aversion to risk reduction strategies. Some variation was found, however, in the rejection of the strategies. Thus, more acceptable strategies are characterised by a low degree of technological interference, and by being close to the consumer’s experience in everyday life and/or familiar to the participants’ picture of meat production. It is also important that the strategy does not alter the quality of the end-product (meat) in an unfavourable way. The implications of the results and the inherent dilemma for meat safety policy formation are discussed.     

Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model

We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data with long memory in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory in volatility and short memory in returns. We present an application to the daily CRSP value-weighted cum-dividend stock index return series from 1926 through 2006 which documents the empirical relevance of our model. The volatility-in-mean effect is significant, and the FIEGARCH-M model outperforms the original FIEGARCH model and alternative GARCH-type specifications according to standard criteria.     

A combination of differentiation and consolidation theory and risk-benefit analysis to examine decisions on mastitis prevention

Abstract

Mastitis infections cause severe pain in dairy cows and are the most costly illness to farmers. This study combined differentiation and consolidation (Diff-Con) theory with risk-benefit analysis to explore how risky decisions are perceived and justified after a decision has been taken. More specifically, using survey data from 428 Swedish dairy farmers, their decisions about adopting preventive measures to control mastitis (mastitis control options, MCO) in dairy herds were examined. The analyses included group comparisons with non-parametric rank tests and use of both ordinary least squared regression and seemingly unrelated regression analysis to examine how prior adoption of MCO affects farmers’ attitudes to the MCO. The results showed that MCOs already adopted were rated higher in perceived riskiness (if not implemented) and in expected benefit (for illness prevention) than non-adopted MCOs. Having made the decision to implement a strategy increased the likelihood of that decision being perceived as more beneficial (reducing mastitis) and risky (in terms of disease increase if not implemented), irrespective of the combination of strategies used on the farm, during the post-consolidation stage. No difference in perceived illness prevalence could explain the farmers’ rating of the MCOs. These findings suggest that there may be a path dependency in farmers’ decision-making with respect to MCO. This implies that novel MCOs may have difficulty in achieving wider implementation. These results have implications for the development of strategies to communicate best practices for use of MCOs and for new research on MCOs and farmers’ decision-making.     

A Model for Studying the Effect of EMU on European Yield Curves

In January 1999, the European monetary union (EMU) was formally launched with 11 member countries. However, before May 1998 there was considerable uncertainty about who would join EMU, and whether the project would start on time. When a monetary union is formed, exchange rates between the member countries are irrevocably fixed, and yield spreads stemming from exchange-rate risk are eliminated. As a direct consequence, EMU affected the prices of long-term bonds well before 1999, but quantifying this effect can be difficult when there is uncertainty about the monetary union. We address these issues and develop a bond-pricing model which explicitly takes into account that a country may join a monetary union at a future, unspecified date. The empirical results show that a narrow EMU, consisting of Germany, France and the Benelux countries, has been priced with almost 100% probability throughout the period 1995–1998, whereas, on average, the implied probability of joining EMU has been somewhat lower for the other EU countries. However, in the period leading up to May 1998, the estimated probabilities have increased considerably for the countries that joined EMU in January 1999.     

Strategic management accounting in close inter-organisational relationships

This paper provides a conceptual comparison between the ‘mainstream strategic management accounting’ literature, the ‘accounting and strategising’ literature and ‘strategic management accounting (SMA) in close inter-organisational relationships’. It concludes that ‘SMA in close inter-organisational relationships’ shares some important characteristics with the ‘accounting and strategising’ literature. Important differences were found, too, though. These mainly concerned the need to understand individuals working for close partners as preparers of strategic information; the need for disaggregated accounting information about unique connections to close partners and about the role of indirect benefits that follow from close connections and the need for the company to not only collect information but also disperse diverse information within close inter-organisational relationships. Through an intensive case study of a global robot manufacturer, Robotics, this paper also provides novel empirical evidence on ‘SMA in close inter-organisational relationships’. For instance, SMA practices included indirect benefits, something mainly neglected in the existing literature on SMA. These indirect benefits involved a close customer's willingness to invest time and effort in Robotics’ technological development, thereby contributing to Robotics’ ability to attain revenue gains in its interactions with other customers. Our findings also have important implications for the ‘inter-organisational accounting’ literature, for instance, by highlighting the need to link more explicitly strategic decision-making with the current interest in the role of accounting in inter-organisational dynamics.     

Customer Involvement in Product Development: An Industrial Network Perspective

Purpose: In business markets, working with customers and users has become increasingly important to get knowledge about customer needs and to develop new products. The purpose of this article is twofold: (1) to develop a framework for analyzing customer involvement in product development in a business market context, and (2) to apply this framework to a particular company to describe and analyze how it practices customer involvement.

Methodology/approach: The article takes its main theoretical starting point in the industrial network approach, but also uses other literature from the innovation and product development field. The empirical study applies a qualitative case study approach and focuses on one company in the truck business.

Findings: The suggested framework deals with four key aspects of customer involvement: Why, when, how, and who. The observed pattern of the truck manufacturer shows how dealers, hauliers, and truck drivers are all part of the overall understanding of the customer. These actors are involved for different, typically very clear, purposes at different points in time through surveys, product clinics, and field testing. The pattern, referred to as mixed facilitative, is not one of close collaboration with individual customers, but one of broad involvement of several customers through business intelligence and direct involvement.

Research implications: First, the article provides researchers with a framework and method for studying customer involvement in product development. Second, the case study provides an illustrative example of the customer involvement pattern pursued by a leading company in a major industry. This enhances the understanding of the focal phenomenon, leads to managerial implications, and gives ideas for future research.

Practical implications: There are several managerial implications related to the why, when, how, and who questions. For example, it is pointed out that managers should consider involving customers more extensively than what seems to be common today—for example, by using customers as codevelopers, working with them throughout the entire development process (i.e., not only early and late), and including different types of users (with different requirements and wishes).

Originality/value/contribution of the article: The contribution lies in the development of a framework centered on the four key questions of customer involvement in

product development and using this framework for observing a pattern, and finding explanations and relating this pattern to how other firms are doing.