8 resultados para Durable goods

em Aston University Research Archive


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Theory suggests that the dimensions that are incorporated in the new product screening decision will differ according to the stage of the development process. The outcome of the application of different screening dimensions would be quicker, realistic and more reliable screening decisions. This research project builds on existing new product development and screening literature by investigating new product screening in international fast moving consumer goods companies. It further builds on the existing literature by measuring decision-making relating to projects in 'real time', as managers' responses refer to projects they are currently working on. The introduction of branded consumer products allows us to evolve scales used in new product research by further developing variables relating to branding, promotion and retailer power. The project uncovers multiple dimensions of new product screening and evaluation within this branded product sector. These dimensions are found to differ in their ability to discriminate between two groups of accepted and rejected projects at each of four stages of the new product development process. This investigation provides the intelligence with which managers can determine the likelihood of project acceptance and rejection at different stages of the development process. It highlights the need for managers to apply stage-specific dimensions in the new product screening decision and advocates the redefinition of new product screening from both an academic and managerial perspective. The screening decision should not be viewed as a single, early decision in a product development process, but as a series of stage specific decisions regarding future project potential.

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A city's branding is investigated using generic product and services branding models. Two generic branding models and tourism segmentation models guide an investigation into city branding 'as it should be' and 'as it is' using Birmingham, England as a case study. The unique characteristics of city brands are identified and Keller's Brand Report Card provides a theoretical framework for building a picture of the brand-building activity taking place in the city. Four themes emerge and are discussed: 1) the impact of a network on brand models developed for organisations; 2) segmentation of brand elements; 3) corporate branding; and 4) the political dimension. A conclusion is that city branding would be more effective if the systems and structures of generic branding models were adopted.

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This thesis describes work done exploring the application of expert system techniques to the domain of designing durable concrete. The nature of concrete durability design is described and some problems from the domain are discussed. Some related work on expert systems in concrete durability are described. Various implementation languages are considered - PROLOG and OPS5, and rejected in favour of a shell - CRYSTAL3 (later CRYSTAL4). Criteria for useful expert system shells in the domain are discussed. CRYSTAL4 is evaluated in the light of these criteria. Modules in various sub-domains (mix-design, sulphate attack, steel-corrosion and alkali aggregate reaction) are developed and organised under a BLACKBOARD system (called DEX). Extensions to the CRYSTAL4 modules are considered for different knowledge representations. These include LOTUS123 spreadsheets implementing models incorporating some of the mathematical knowledge in the domain. Design databases are used to represent tabular design knowledge. Hypertext representations of the original building standards texts are proposed as a tool for providing a well structured and extensive justification/help facility. A standardised approach to module development is proposed using hypertext development as a structured basis for expert systems development. Some areas of deficient domain knowledge are highlighted particularly in the use of data from mathematical models and in gaps and inconsistencies in the original knowledge source Digests.

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The objectives of this thesis are to examine and evaluate the process of marketing as practiced by an established and successful company in the sports trade, Dunlop Sports Company Ltd. (D.S.C.). In particular the field of strategy formulation for exporting is considered in an operational context, and compared with existing literature and theory on the subject. Market intelligence has been gathered by visiting European territories and pursuing available sources in the United Kingdom. The data now available is intended to act as a base for developing a more effective market research function within D.S.C. At various stages reports have been submitted on specific topics to the Company and this thesis represents the culmination of these reports and an outline for future policies which are open to D.S.C. The thesis chooses certain aspects of marketing and examines the way in which the marketing strategy of the Company appears to act upon these. In particular the topics of Pricing, Distribution and Market Research are considered. Initially a series of alternative market postures are postulated and assessed within the European strategy of D.S.C. Where no explicit strategy is available an implied strategy is identified and evaluated. In chapters on Pricing and Distribution some of the problems being encountered are given detailed consideration and preferred policies arc suggested. In the final chapter the major strengths and weaknesses of of the Company are brought together and the various recommendations summarised in the context of a marketing strategy which would meet some o:f the current difficulties. The emphasis tliroughout is on the effect of strategy formulation, whether or not this appears adequate, and how each of the various operational elements of the marketing mix depend upon this.

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Purpose: The paper aims to further extend our understanding by assessing the extent to which two prominent cultural values in East Asia i.e. face saving and group orientation drive consumers' perceptions of luxury goods across four East Asian markets. Design/methodology/approach: A multi-methods research approach was adopted consisting of: an expert panel of close to 70 participants, group discussions with five extended East Asian families, personal interviews with eight East Asian scholars, a pilot test with over 50 East Asian graduate students and a multi-market survey of 443 consumer respondents in Beijing, Tokyo, Singapore and Hanoi. Findings: The authors extend previous conceptual studies by empirically investigating the impact of these two cultural values on the perception of luxury among East Asian societies. Specifically the study reveals that across all four markets face saving has the strongest influence on the conspicuous and hedonistic dimensions of luxury, group orientation meanwhile is the strongest predictor of the quality, extended self and exclusivity dimensions of luxury. Collectively these two cultural values significantly influence East Asian perceptions of luxury. Overall, the findings reiterate the importance of understanding different cultural values and their influence across different East Asian societies. Practical implications: The findings have important implications for managers of western luxury branded goods that are seeking to penetrate East Asian markets or seek to serve East Asian consumers. Specifically, to assist with developing suitable brand positioning, products, services, communications and pricing strategies. Originality/value: This study contributes to our understanding of the subject by exploring the impact of face saving and group orientation on the perception of luxury goods across four East Asian countries. Several directions for future research are suggested. © Emerald Group Publishing Limited.

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This paper demonstrates a mechanism whereby rules can be extracted from a feedforward neural network trained to characterize the inflation "pass-through" problem in American monetary policy, defined as the relationship between changes in the growth rate(s) of individual commodities and the economy-wide rate of growth of consumer prices. Monthly price data are encoded and used to train a group of candidate connectionist architectures. One candidate is selected for rule extraction, using a custom decompositional extraction algorithm that generates rules in human-readable and machine-executable form. Rule and network accuracy are compared, and comments are made on the relationships expressed within the discovered rules. The types of discovered relationships could be used to guide monetary policy decisions.