La généralisation des médias sociaux change la façon dont les organisations interagissent avec les utilisateurs dans le cadre de l'innovation de service. Elle met en lumière des relations de co-production et de co-création. Cependant, l’analyse de ces relations entre l'innovation de service interactionnelle et les médias sociaux fait actuellement défaut. L’intégration de telles interactions met en évidence différents niveaux hiérarchiques dans la conception, la création et la diffusion de la connaissance.L’analyse a de réduire l’écart entre les médias sociaux et les réseaux d'innovation dans les services dans différents secteurs en utilisant l'innovation de service interactionnelle réalisée en coopération avec l'utilisateur des médias sociaux. L'intérêt ici ne réside pas uniquement dans la co-production d'information, mais dans la compréhension de la manière dont les organisations mettent à profit l'innovation non technologique et le méta-changement en lien avec les médias sociaux.Dans une première étape, cinq entreprises ont été étudiées sur une longue période à travers une méthodologie qualitative qui a permis la validation du modèle interactionnel. Ensuite une validation quantitative a été obtenue sur la base d'un échantillon plus grand.La thèse montre que les entreprises exploitent les médias sociaux pour l'innovation de service interactionnelle différemment les unes des autres. Bien que les médias sociaux semblent importants pour la co-création de valeur, les entreprises ne maitrisent pas les possibilités de co-création car elles co-produisent principalement lors d’interactions isolées avec les utilisateurs de médias sociaux dans les réseaux d'innovation de services. / The pervasive availability of social media is changing how organizations interact with the user in service innovation. However, the explanation how to leverage the co-production and co-creation relationship in interactional service innovation with the social media user is missing. The integration of such interactions reveals a system of knowledge production and dissemination. The system unfolds a configuration of hypothetical interactions, namely the gap between the social media and service innovation networks across different sectors is narrowed with the interactional model and social media user in co-production and co-creation. The emphasis is on how organizations leverage the non-technological innovation and complex meta-change with social media in different environments. The research involves the exploratory sequential research; qualitative leading to the quantitative methodology. In qualitative research five companies were investigated during a long-term span. A particular qualitative methodology was used for the validation of the interactional model. However, the results lead to the quantitative validation and testing of hypotheses as theorized in the qualitative step. Companies leverage social media user for interactional service innovation with different specifics and co-produce or co-create value. The findings are hypothesized on a larger sample to confirm/refute different hypotheses. Although social media seem significant for co-creation, the findings do not follow suit. Companies do not employ the possibilities of co-creation with social media; they rather co-produce value with scarce unique interactions with social media users across different sectors.

This study investigates the processes associated with the diffusion and adoption of an innovation. Work on diffusion by persons in fields other than marketing is reviewed along with some speculative discussion of the relevance of those studies to marketing. Various categories of adopters of innovations are identified and some indications given of how one differentiates between members of those several categories. One category of adopter, the influential, is examined in detail since influentials play an extremely important part in the successful introduction of new products and services. Finally, the results of an exploratory field study of the early phases of the adoption of the Touch-Tone Telephone are described and compared with earlier diffusion studies. / Business, Sauder School of / Graduate

Information modeling is the cornerstone of information systems analysis and design. Information models not only provide the abstractions required to facilitate communication between designers and end users, they also provide a formal basis for tools and techniques used in developing and using information systems. This dissertation reports on four empirical studies in information modeling. The four studies focus on an important, yet controversial, construct in information modeling — the relationship construct. The theoretical foundation for the four experimental studies comprises theories and findings from the information systems, cognitive psychology, computer science, philosophy, and communication literature. Because of the paucity of empirical research in the area, a two-stage research design, consisting of the exploratory and formalized phases, is employed in this dissertation. Two studies were conducted in the exploratory phase. The first exploratory study investigated the effect of domain familiarity on selection of mandatory or optional connectivity for the relationship construct by modeling experts. The findings indicate that modeling experts tend to choose optional over mandatory relationships, even for domains that are totally unfamiliar to them. The second exploratory study analyzed the effect of conflicting textual information and structural constraints on selection of mandatory or optional connectivity by modeling experts. The results show that modeling experts tend to focus on the information depicted by the structural constraints and ignore the textual information. This exploratory phase allowed us to explore and develop empirical research methods and instruments for studying the relationship construct in information modeling. In the second phase, two formalized studies were conducted. The first formalized study investigated the differences between modeling experts and novices in their interpretation of information models. The results show significant differences in the way modeling experts and novices interpret information models. Modeling experts focus mainly on the structural constraints and de-emphasize the textual information. Modeling novices, on the other hand, pay more attention to the textual information than modeling experts. The second formalized study examined the effect of different representations of relationship on the interpretation of information models by modeling novices. The findings indicate that the explicitness of relationship construct and the use of verb versus noun description for relationship have a profound impact on the accuracy of interpretation. The best combination is one that uses an explicit relationship construct and verb for relationship description. The worst combination is one where the relationship construct is represented implicitly and described using noun. / Business, Sauder School of / Graduate

In contrast with the bulk of conventional neoclassical economic theory this thesis treats the generation of technical change as an integral part of the producer's decision problem. The production of technical knowledge is modelled in the same manner as other outputs. To achieve this, the changeable pool of knowledge pertaining to the technical arts is denoted by a vector of stock variables. A general model of production with endogenous factor augmenting technical changes is specified as an optimal control problem in which these durable knowledge goods are the state variables. The corresponding co-state variables are the knowledge good shadow prices while the output of the various knowledge goods constitutes the control variables. This specification overcomes a number of the limitations that have commonly beset previous models of induced innovation, including the exclusion of interaction between the production of knowledge and the production of conventional outputs. The shadow price of factor i augmenting knowledge in this production model is well defined. It is the discounted present value of the future stream of expenditure on factor i per unit of type i knowledge. In addition to the familiar qualitative implications of such an optimal control problem this model implies that the optimal rate of Hicks neutral technical change increases in response to a scalar increase in the non-knowledge factor endowments. To derive an estimable econometric model of the production technology underlying this endogenous factor augmenting technical change model, the continually revised steady state values of the co-state variables are employed as approximations to the knowledge good shadow prices. A generalised Leontief variable profit function is postulated to represent the production technology in dual space. The estimable econometric model is constructed from the derived wage equations. This thesis presents estimates of three simple models each having endogenous technical change together with an analogous conventional model which has exponential exogenous rates of factor augmenting technical change for the private sector of the Canadian economy over the period 1947 to 1973. They are the cases of endogenous Hicks neutral technical change, Harrod neutral technical change and general factor augmenting technical change, when there are just two inputs (labour services and capital services) and one non-knowledge output. Maximum likelihood estimates for the first and third of these models yielded statistical evidence supporting the fundamental null hypothesis that the pattern of technical change in the Canadian economy between 1947 and 1973 has been significantly influenced by the knowledge good shadow prices. Furthermore, the empirical results for all three models reveals that the Canadian economy has experienced significant endogenous technical change during this period, given the absence of exogenous technical change. Similarly the estimation of the exogenous technical change model indicated that there has been significant non-neutral exogenous technical change during this period, given that there has been no endogenous technical change. However, due to the statistical evidence that the pattern of technical change has been significantly induced, modelling technical change endogenously has the important advantage of providing an explanation of the pattern of technical progress in terms of profit maximising behaviour. / Arts, Faculty of / Vancouver School of Economics / Unknown

M.Ed. (Education Management) / Please refer to full text to view abstract

Thesis (Ed.D.)--Boston University / PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you. / The purpose of this study is to examine relationships between teachers' perceptions of selected dimensions of school system "health" and the types of innovations adopted by those teachers. The study is conducted within the conceptual framework of organizational "health." Discrete properties are related to the innovativeness or adaptability of a school system. The six organizational ''health" measures used as independent variables in this study are: 1. support for the norm of openness 2. problem-solving adequacy 3. problem-solving climate 4. communications adequacy 5. perceived conformity index 6. actual conformity index. [TRUNCATED] / 2031-01-01

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