1,720,977 research outputs found

    Incorporating consumer resistance to innovation in a new product diffusion model: A new model and a simulation comparison with existing models

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    This dissertation proposes a new diffusion model for an innovation in durable goods markets and compares the model with four existing models. The distinctive feature of the new diffusion model is an explicit consideration of the competition between an existing product and a new product due to the comparative advantage of the new product and also due to the closer introduction times of the existing product and the new product. Adopting an individual-level modeling approaching, this diffusion model incorporates the phenomena of: interaction of evaluations for successive generation innovations, risk-adjusted utility of the new product, increased new product utility over time, and the Bayesian process of uncertainty reduction. The proposed model has been compared with existing models using both empirical data from the color TV market, and computer-simulated market data. The comparison criteria are (1) goodness of fit in model estimation samples, and (2) forecast accuracy in model validation samples. The results of empirical comparison show that the proposed model performs better than the compared models on both criteria. The results of computer simulation comparison show that the proposed model and Lattin and Roberts' (1989) RAU model are the two best models with the latter being better than the former on goodness-of-fit in seven of twenty-eight market types, and the former being better than the latter on the accuracy of one-step-ahead sales forecasting in twenty-six markets. In addition, in markets characterized by strong consumer resistance, the proposed model is superior to the RAU model on both performance criteria. The proposed model is also superior to the Bass model (1969), a first-order-autoregressive model, and the Lattin and Roberts' (1989) model with price consideration in all the markets examined. Besides, the superiority of the proposed model to these three models increases more often in markets in which diffusion-deterring factors are present. Therefore, the proposed model has demonstrated its superior capabilities in modeling the diffusion of a new product in an environment characterized by stronger consumer resistance. Managerial implications of the proposed model in new product prelaunch forecasting and post-introduction adoption diagnosis are also discussed.Made available in DSpace on 2011-05-07T13:25:58Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9236415.pdf: 10052735 bytes, checksum: 67c36b8d2dc8b496fab527c9f765bce1 (MD5) Previous issue date: 1992Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding ([email protected]) on 2011-05-07T14:54:41Z Item is restricted indefinitely.Restriction data tranferred 2014-07-01T11:25:26-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permissionETDs are only available to UIUC Users without author permissionU of I Onl

    Optimal competitive marketing response to entry: Theoretical and empirical analyses

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    An important problem in marketing that has received little attention is the reaction to entry of new brands by incumbent firms. In this thesis, the marketing mix reaction to entry under different managerial objectives is studied though the formulation of a marketing interaction model and the estimation of the model from empirical data.A market interaction model is developed from previous empirical research. This model of segment-level brand choice incorporates joint-space modeling of product positions and consumer ideal points, market segmentation and response function modeling of advertising and distribution expenditures into a market share attraction formulation. This model is used to develop the objective functions faced by managers who are assumed to pursue one of three goals: market share, sales revenue or profit maximization.The Nash equilibrium solution to an N-person game using the managerial objective functions as payoff functions is shown to exist. The before and after entry Nash equilibrium strategies can be computed for all brands. Any change in the marketing mix (price, advertising and distribution expenditures) of a brand with the introduction of a new brand is assumed to be the optimal response to entry under the given managerial objective.The entry of a new brand of ground coffee into two retail markets served as the empirical application of the model. The market interaction model and managerial objective functions were estimated from empirical sources including scanner panel data.The expected marketing mix for each brand was computed for the before and after entry periods under three managerial objectives. The predicted changes in the marketing mix of each brand were compared to the changes observed in the marketplace. It was found in the two markets studied that the objective which best captures actual reaction to entry is sales revenue maximization.The model developed in this research can represent a wide range of consumer choice behavior and can be estimated from readily attainable data and methodologies. The managerial model allows for varying managerial objectives. This research provides a firmer foundation upon which to base future work toward understanding competitive marketing strategy.Made available in DSpace on 2011-05-07T12:24:25Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 8924827.pdf: 9419647 bytes, checksum: c090cbc0d0da311b6b8b8156da3941f6 (MD5) Previous issue date: 1989Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding ([email protected]) on 2011-05-07T14:40:38Z Item is restricted indefinitely.Restriction data tranferred 2014-07-01T11:17:27-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permissionETDs are only available to UIUC Users without author permissionU of I Onl

    Specifying and Understanding the Dimensions of Core Competencies in the Ethical Pharmaceutical Industry

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    181 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.This study examines the specification and understanding of core competencies through the development of a new theoretical framework and use of a multi-method methodology. This study will benefit both researchers and practitioners in understanding the strategic management process. The motivation of this thesis is to better specify and understand the basic underlying components comprising core competencies within the context of the ethical pharmaceutical industry. To advance this goal, a new theoretical framework emphasizing the central role of information transparency in the diffusion of important information is developed. With the use of the multi-method methodology, this theoretical framework may be used in reaching an understanding of the skills and capabilities that achieve firm-sustainable competitive advantage (within the context of a given industry). Competitive advantages (core competencies) arise from valuable information asymmetries that are sustainable due to difficulty in their articulation (tacitness) and/or in their apprehension (intangibility). In each case information diffusion (and learning by others) is impeded. In this thesis I do not distinguish between these two difficulties in information diffusion (articulation and apprehension). I call both examples of low information transparency. Yet if core competencies are intrinsically resultants of low valuable information transparency (which is difficult to diffuse), then how may one specify them? Industry participants and others who hold specific expertise are assumed to possess tacit knowledge of core competencies and are thus unable to easily articulate (specify) this knowledge. To circumvent this difficulty in communication I advance a multi-method methodology that elicits dimensions of core competencies through perceptual mapping. Results of this perceptual mapping are used in developing a questionnaire that is factor analyzed to further help in specifying core competencies.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

    Specifying and Understanding the Dimensions of Core Competencies in the Ethical Pharmaceutical Industry

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    This study examines the specification and understanding of core competencies through the development of a new theoretical framework and use of a multi-method methodology. This study will benefit both researchers and practitioners in understanding the strategic management process. The motivation of this thesis is to better specify and understand the basic underlying components comprising core competencies within the context of the ethical pharmaceutical industry. To advance this goal, a new theoretical framework emphasizing the central role of information transparency in the diffusion of important information is developed. With the use of the multi-method methodology, this theoretical framework may be used in reaching an understanding of the skills and capabilities that achieve firm-sustainable competitive advantage (within the context of a given industry). Competitive advantages (core competencies) arise from valuable information asymmetries that are sustainable due to difficulty in their articulation (tacitness) and/or in their apprehension (intangibility). In each case information diffusion (and learning by others) is impeded. In this thesis I do not distinguish between these two difficulties in information diffusion (articulation and apprehension). I call both examples of low information transparency. Yet if core competencies are intrinsically resultants of low valuable information transparency (which is difficult to diffuse), then how may one specify them? Industry participants and others who hold specific expertise are assumed to possess tacit knowledge of core competencies and are thus unable to easily articulate (specify) this knowledge. To circumvent this difficulty in communication I advance a multi-method methodology that elicits dimensions of core competencies through perceptual mapping. Results of this perceptual mapping are used in developing a questionnaire that is factor analyzed to further help in specifying core competencies.Made available in DSpace on 2015-09-25T22:21:51Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9945031.pdf: 7576008 bytes, checksum: 8200230e528f8ca0efa8b568831fab18 (MD5) Previous issue date: 1999Embargo set by: Seth Robbins for item 85887 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDsRestricted to the U of I community idenfinitely during batch ingest of legacy ETDsU of I Only181 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999

    A laboratory comparison of two methods of optimal new product concept generation : toward validation

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    Made available in DSpace on 2012-01-25T22:36:16Z (GMT). No. of bitstreams: 2 laboratorycompar1028sudh.pdf: 2458022 bytes, checksum: a197cf311c7a447a680c2ef7c3159b04 (MD5) license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) Previous issue date:Includes bibliographical references (p. [1-3])

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Strategy coherence : a measurement procedure and empirical analysis

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    Made available in DSpace on 2012-03-16T18:12:22Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) strategycoherenc1652nath.pdf: 2106536 bytes, checksum: 3bf6376ffaa03a6a43aa0b800dabcf31 (MD5) Previous issue date:Includes bibliographical references (p. 34-38)

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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