Service Competitiveness – An Anglo-US Study

This article reports on the latest in a series of international comparisons of management practices and performance outcomes of industries in various countries. Here, it is the service industries in the UK and the US which come under the microscope. Among the companies surveyed, there were more world-class performers in the US than the UK, but also more low performers. The concluding part of the article is diagnostic – the authors also suggest measures which could improve performance.     

Building Brands through Brand Alliances: Does a Second Ally Help?

Several papers have been published demonstrating the positive effects a single, reputable ally has on evaluations of a focal brand. Interestingly, little research has been published examining the effects of multiple brand allies. We examine the effect of an alliance with two, one, or zero well-known brand allies on evaluations of a previously unknown focal brand. The presence of a single brand ally significantly increased perceived quality and hedonic and utilitarian attitudes. While multiple alliances improved focal brand evaluations relative to the no ally condition, the second ally did not increase evaluations relative to the single ally condition.     

Managing New Product Design and Development: an Anglo-German Study

This article reports the results of a study of innovation and product development at 245 manufacturing sites in the UK and Germany. It examines the relationship between design and performance and the competitiveness of the UK and Germany in design and manufacturing. Overall, few sites reached "world-class" standards - 9% in Germany and 3% in the UK, although many sites were not far below these standards.     

Pricing exotic options with L-stable Padé schemes

In this paper we develop a strongly stable (L-stable) and highly accurate method for pricing exotic options. The method is based on Padé schemes and also utilizes partial fraction decomposition to address issues regarding accuracy and computational efficiency. Due to non-smooth payoffs, which cause discontinuities in the solution (or its derivatives), standard A-stable methods are prone to produce large and spurious oscillations in the numerical solutions which would mislead to estimating options accurately. The proposed method does not suffer these drawbacks while being easy to implement on concurrent processors. Numerical results are presented for digital options, butterfly spread and barrier options in one and two assets. In addition, the methods are tested on the Heston stochastic volatility model.     

Optimal Harvesting of an Age-Structured Schooling Fishery

Biologists have criticized traditional biomass models in fishery economics for being oversimplified. Biological stock assessment models are more sophisticated with regard to biological content, but rarely account for economic objectives. This study includes a full age-structured population model for studying schooling fisheries and extends the delayed difference approach used in earlier studies. We take the total harvest as the choice variable, resulting in a simple analytical structure. The model produces optimal steady states that may be higher or lower compared to the delayed-difference formulation. The model is applied to the Baltic sprat fishery. Both ecological and harvesting cost data support specifying Baltic sprat as a schooling fishery. Given nonlinear harvesting costs, the optimal solution is a path toward a steady state with smooth annual harvest and population age structure. Sensitivity analysis shows that the optimal solution is highly dependent on the population level of the sprat’s main predator Baltic cod. A linear cost function and an interest rate below 9 % imply pulse fishing instead of smooth continuous harvesting. Given nonlinear harvesting cost, the optimal steady state yield is rather insensitive to changes in the interest rate. However, under a high cod scenario, interest rates of 10 % or higher implies that no optimal steady state exists.     

An Alternative Approach to the Measurement of Emotional Attachment

Emotional attachment (EA)—the emotional bond connecting an individual with a specific target—has been identified as an important construct within the marketing domain. Despite all the research, there is no consensus on how the construct should be measured. A major factor contributing to this confusion is that current definitions and, consequently, scales of EA focus on describing reactions toward specific referents of attachment rather than on capturing the extent of emotion an individual feels; hence, hindering construct validity. In this article, the authors scrutinized the concept validity of EA. After defining the construct, scale development procedures were followed to propose an alternative one‐dimensional scale that reflects the abstract nature of EA. Three studies support the scale's reliability as well as the discriminant, convergent, criterion, and nomological validity of the measure. The studies tested the scale under different marketing contexts. Moreover, by employing the new measure, the findings showed that EA and self‐concept maintenance (SCM) are related, yet different constructs. Specifically, the results showed that these constructs interact to predict willingness to pay (WTP) for a brand such that when SCM is low, WTP is predicted by EA. However, when self‐concept is high, the effect of EA on WTP is not that strong. This new scale will help researchers extend research on EA to a broader set of contexts, explore the relationship between EA and related constructs, develop nomological networks, and prevent the confounding of terms.     

Best practice interventions: Short-term impact and long-term outcomes

This paper uses empirical field research to examine whether short-term best practice interventions (BPIs) can lead to improvements that are sustained in the long term. In addition, this research investigates the implied conflict between striving for short-term results and achieving long-term development of capabilities. It also examines the tension between the lack of resources of the typical small and medium sized enterprise (SME) users of BPIs and the time required to develop a critical mass of capability. A longitudinal case-based study of eight SME contexts examined BPI outcomes and factors leading to short- and long-term success and sustaining best practices. The research identifies factors related to the intervention context, implementation and change-agent approach. The data indicate that in resource-limited SMEs BPIs are limited in their ability to develop adequate capability for long-term change.     

The Need for a Field of Study of Implementation of Innovations

The study of innovation has been approached from many disciplines and from the point of view of different real life problems. As a result, we have a series of clusters of knowledge that are related but seldom integrated. Chris Voss suggests it is time we closed at least one of these gaps. He suggests there should be a field of study should be established that will build a bridge between work on the process of innovation and work on the diffusion of innovation. He presents a starting point for the new field of study.     

Determinants of Success in the Development of Applications Software

In this article, the third in the trio of software innovation articles, Chris Voss outlines the key factors that determine whether a new software development is likely to be successful. His research draws on an innovation framework that has emerged from previous research. His results are similar to those of the earlier studies and suggest that the software innovation process has many demands that are common to innovation in other product areas.