3 resultados para Discriminators

em Aston University Research Archive


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Purpose - Despite the increasing sophistication of new product development (NPD) research, the reliance on traditional approaches to studying NPD has left several areas in need of further research. The authors propose addressing some of these gaps, especially the limited focus on consumer brands, evaluation criteria used across different project-review points in the NPD process, and the distinction between "kills", "successes", and "failures". Moreover, they propose investigating how screening criteria change across project-review points, using real-time NPD projects. Design/methodology/approach - A postal survey generated 172 usable questionnaires from a sample of European, North American, Far Eastern and Australian consumer packaged-goods firms, providing data on 314 new product projects covering different development and post-commercialization review points. Findings - The results confirm that acceptance-rejection criteria vary through the NPD process. However, financial criteria dominate across all the project-review points. Initial screening is coarse, focusing predominantly on financial criteria. Fit with organizational, product, brand, promotional, and market requirements dominate in the detailed screen and pre-development evaluation points. At pre-launch, decision-makers focus on product, brand, and promotional criteria. Commercial fit, production synergies, and reliability of the firm's market intelligence are significant discriminators in the post-launch review. Moreover, the importance of marketing and channel issues makes the criteria for screening brands different from those of industrial markets. Originality/value - The study, although largely descriptive and involves a relatively small sample of consumer goods firms, offers new insights into NPD project evaluation behavior. Future, larger-scale investigations covering a broader spectrum of consumer product sectors are needed to validate our results and to explain the reasons behind managers' decisions. © Emerald Group Publishing Limited.

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The thesis began as a study of new firm formation. Preliminary research suggested that infant death rate was considered to be a closely related problem and the search was for a theory of new firm formation which would explain both. The thesis finds theories of exit and entry inadequate in this respect and focusses instead on theories of entrepreneurship, particularly those which concentrate on entrepreneurship as an agent of change. The role of information is found to be fundamental to economic change and an understanding of information generation and dissemination and the nature and direction of information flows is postulated to lead coterminously to an understanding of entrepreneurhsip and economic change. The economics of information is applied to theories of entrepreneurhsip and some testable hypotheses are derived. The testing relies on etablishing and measuring the information bases of the founders of new firms and then testing for certain hypothesised differences between the information bases of survivors and non-survivors. No theory of entrepreneurship is likely to be straightforwardly testable and many postulates have to be established to bring the theory to a testable stage. A questionnaire is used to gather information from a sample of firms taken from a new micro-data set established as part of the work of the thesis. Discriminant Analysis establishes the variables which best distinguish between survivors and non-survivors. The variables which emerge as important discriminators are consistent with the theory which the analysis is testing. While there are alternative interpretations of the important variables, collective consistency with the theory under test is established. The thesis concludes with an examination of the implications of the theory for policy towards stimulating new firm formation.

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Circulating low density lipoproteins (LDL) are thought to play a crucial role in the onset and development of atherosclerosis, though the detailed molecular mechanisms responsible for their biological effects remain controversial. The complexity of biomolecules (lipids, glycans and protein) and structural features (isoforms and chemical modifications) found in LDL particles hampers the complete understanding of the mechanism underlying its atherogenicity. For this reason the screening of LDL for features discriminative of a particular pathology in search of biomarkers is of high importance. Three major biomolecule classes (lipids, protein and glycans) in LDL particles were screened using mass spectrometry coupled to liquid chromatography. Dual-polarity screening resulted in good lipidome coverage, identifying over 300 lipid species from 12 lipid sub-classes. Multivariate analysis was used to investigate potential discriminators in the individual lipid sub-classes for different study groups (age, gender, pathology). Additionally, the high protein sequence coverage of ApoB-100 routinely achieved (≥70%) assisted in the search for protein modifications correlating to aging and pathology. The large size and complexity of the datasets required the use of chemometric methods (Partial Least Square-Discriminant Analysis, PLS-DA) for their analysis and for the identification of ions that discriminate between study groups. The peptide profile from enzymatically digested ApoB-100 can be correlated with the high structural complexity of lipids associated with ApoB-100 using exploratory data analysis. In addition, using targeted scanning modes, glycosylation sites within neutral and acidic sugar residues in ApoB-100 are also being explored. Together or individually, knowledge of the profiles and modifications of the major biomolecules in LDL particles will contribute towards an in-depth understanding, will help to map the structural features that contribute to the atherogenicity of LDL, and may allow identification of reliable, pathology-specific biomarkers. This research was supported by a Marie Curie Intra-European Fellowship within the 7th European Community Framework Program (IEF 255076). Work of A. Rudnitskaya was supported by Portuguese Science and Technology Foundation, through the European Social Fund (ESF) and "Programa Operacional Potencial Humano - POPH".