94 research outputs found

    The Mobile Privacy-Security Knowledge Gap Model: Understanding Behaviors

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    Increasing collection of individuals’ information has led to several security and privacy issues, such as identity theft and targeted marketing. These risks are further heightened in the mobile realm as data collection can occur continuously and ubiquitously. Most existing research considers threats to privacy and security as separate concerns, resulting in separate research streams. However, focusing on information privacy alone results in a lack of understanding of the security ramifications of individual information disclosure. Using the Information Motivation Behavioral (IMB) Skills Model as a theoretical foundation, we develop the Knowledge Gap Model of Security and Privacy Behavior. In the model, we propose that two knowledge gaps exist that affect how individuals enact security and privacy behaviors: the security-privacy knowledge gap, and the knowledge-belief gap. We use the model to develop a research agenda for future research

    Implantation d’un cahier de rĂ©fĂ©rence numĂ©rique afin de favoriser l’accĂšs aux connaissances des stagiaires, en stage clinique au DEC techniques de denturologie.

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    L'accĂšs aux savoirs thĂ©oriques, aux notes de cours, ou toutes autres rĂ©fĂ©rences dans toutes activitĂ©s hors classe peut prĂ©senter un dĂ©fi pour les apprenants. Que se soit en laboratoire, en stage ou dans tout lieu autre que la salle de classe, il peut ĂȘtre difficile d'avoir Ă  portĂ©e de mains des livres ou des cahiers. Ce rapport d'innovation prĂ©sente l'utilisation d'un cahier numĂ©rique de rĂ©fĂ©rences utilisĂ© dans un stage clinique, afin de favoriser l'accĂšs au savoir, dans un milieu ou l'ergonomie et l'asepsie sont des enjeux majeurs

    L'engagement dans les études une réalité plurielle /

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    "Cette recherche a Ă©tĂ© subventionnĂ©e par le MinistĂšre de l'Ă©ducation dans le cadre du Programme d'aide Ă  la recherche sur l'enseignement et l'apprentissage (PAREA)"Titre de l'Ă©cran-titre (visionnĂ© le 3 mai 2006)Également disponible en version papierBibliogr.: p. 70-7

    La distribution rĂ©gionale des contrats de dĂ©fense : une donnĂ©e du problĂšme de l’industrie militaire quĂ©bĂ©coise

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    01. Introduction Lors de l'attribution Ă  l’étĂ© 1992 du contrat d’intĂ©gration des systĂšmes de l’hĂ©licoptĂšre EH101 Ă  la firme montrĂ©alaise Paramax, ce fameux projet annulĂ© au cours de la campagne Ă©lectorale de 1993, le ministre de la DĂ©fense de l’époque, Marcel Masse, soulignait le caractĂšre inĂ©quitable du traitement accordĂ© au QuĂ©bec par son ministĂšre. Il prĂ©cisait alors que cette injustice Ă©tait la consĂ©quence d’un dĂ©tournement de la mission du ministĂšre en vue de promouvoir une forme de poli..

    Multilevel Research in Information Systems: Concepts, Strategies, Problems, and Pitfalls

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    Information systems (IS) researchers often explore complex phenomena that result from the interplay between technologies and human actors; as such, IS research frequently involves constructs found at multiple levels of analysis, although rarely recognized as such. In fact, our targeted review of the IS literature found minimal explicit consideration of the issues posed by multilevel research although a number of studies implicitly conducted research at multiple levels. In this paper, we discuss the issues that result from not explicitly recognizing the multilevel nature of one’s work and offer guidance on how to identify and explicitly conduct multilevel IS research. Recognizing the relevance of multilevel research for the IS domain, we discuss a systematic approach to conduct quantitative multilevel IS research that is grounded in an overarching framework that focuses equally on testing variables and entities. We also highlight the unique role of IS in developing multilevel opportunities for researchers. Finally, we identify a number of gaps within the IS literature in which specific multilevel research questions may be articulated. Such explicit consideration of multilevel issues in future IS research will not only improve IS research but contribute to the larger discourse on multilevel research

    An organizational perspective on m-business : usage factors and value determination

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    Mobile technologies have increasingly become an integral part of individuals’ work and personal lives. Although research exists in this domain, most of it focuses on the customer’s adoption factors rather than assessing the value or the impact of mobile business (m-business) usage on firms. The present study fills this gap in the literature through the analysis of the value m-business can provide for firms. The Technology-Organization-Environment framework, Diffusion of Innovation theory and Resource-Based theory ground this research’s conceptual model for assessing the post-adoption stages of usage and value of mobile business from an organizational perspective. The value of m-business includes the impact on marketing and sales, internal operations, and procurement. This research uses a mixed method research design; interviews are first conducted to develop a model to assess m-business usage, and survey data collected from 180 Portuguese organizations is then used to test the proposed model. The results indicate that seven of the nine proposed antecedents of m-business usage are significant, and that m-business usage has a positive and significant relationship with m-business value. Furthermore, the three dimensions of value (marketing and sales, internal operations, and procurement) are significant, but only two of them have direct positive impacts on firm performance. Implications of these findings for practice and research are discussed.N/

    M-business organizational benefits and value: a qualitative study

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    Mobile technology innovations have allowed organizations to expand the way they conduct business. Organizations are increasingly leveraging the unique value propositions of mobile business (m-business) in terms of convenience, ubiquity, unison, and personalization to improve business performance and support their value chain activities. Building on a process-oriented model of IT business value, we propose that m-business value is derived from its perceived impacts on the value chain activities. This article addresses the following research questions: (i) How does m-business create value for organizations? and (ii) Which are the organizational impacts of m-business? Through qualitative research involving in-depth interviews with experts, this article defines m-business value by clarifying the impacts of m-business usage at the organizational level. While the interview results show that m-business does have impact on marketing and sales and internal operations, its impact on procurement requires further research. The findings extend existing literature by proposing a definition of m-business value, based on a more in-depth understanding of m-business impacts on firm performance, highlighting new m-business value components, and developing a conceptual model of m-business value assessment in which task requirements and business characteristics may play a moderating role. The implications of these findings on future research are discussed.info:eu-repo/semantics/publishedVersio

    How does mobile business create value for firms?

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    Mobile business is expected to create a large spectrum of business opportunities. There are many studies analyzing the contribution of IT to firm performance and whether IT is capable of creating value. One process-level model of IT business value, defined as the contribution of IT to firm performance, focuses on how IT impacts critical business activities within the firm’s value system (in the context of the firm’s value chain). Building on these concepts, we argue that the m-business value corresponds to the impact of m-business usage on firm performance, which is estimated through the perceived impact on the three major groups of activities on the value chain: (i) downstream dimension, (ii) upstream dimension, and, (iii) internal operations. We claim that m-business leverages the potential of the unique features of mobile technologies to improve business performance. This paper is exploratory and aims at answering the following research questions: (i) How does m-business create value to firms? and (ii) Which are the components of the construct m-business value for firms? Interviews were conducted with experts to explore the construct of m-business value and its components. The interviews’ results show that m-business does have impacts on the organizational downstream and internal dimensions. However, its impacts on upstream dimensions are not clear yet. We discuss the implications of these findings for future research and the limitations of the current study.info:eu-repo/semantics/publishedVersio

    Gender-Based Differences in Consumer E-Commerce Adoption

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    Among the many characteristics that impact the use of e-commerce, one that has received relatively little attention is gender. Extant evidence suggests that men and women differ in their beliefs regarding the use of information technology-related innovations, including e-commerce. However, less is known about how gender moderates the impact of various beliefs on behavioral intentions. In this study, we use a model derived from diffusion of innovations theory to examine gender differences in the degree to which various beliefs regarding e-commerce impact intentions to make purchases online. Results indicate that gender does moderate the influence of beliefs on use intentions in the context of consumer e-commerce. Specifically, our study finds that relative advantage is relatively more important for men and that compatibility is relatively more important for women. We explain why this may be true, discuss the implications of these findings and suggest several areas for future research

    Validating metabolic syndrome through principal component analysis in a medically diverse, realistic cohort

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    Abstract: Background: The concept of metabolic syndrome has been subject to etiological and clinical controversies in recent years. Associations among the five risk factors (obesity, high blood pressure, high blood sugar, high triglyceride levels and low HDL cholesterol) may help establish the validity of the concept and its application, but most such studies have been conducted on targeted cohorts not representative of an actual population. Methods: We used principal component analysis (PCA) to analyze the structure of the physiological components of metabolic syndrome in 7213 patients contained in an administrative database for the CHUS hospital in Sherbrooke, Quebec, a realistic cohort with diverse medical histories. We validated the results by repeating the analysis on stratified and random subgroups of patients, and on different combinations of risk factors. The first axis of the PCA was used to predict coronary heart disease (CHD) and diabetes. Results: The two first axes explained 53% of the variance. The first axis (33%) was associated in the expected direction with all five predictor variables, consistent with its interpretation as metabolic syndrome. All validation analyses strongly confirmed this interpretation. The scores from the first axis were more predictive of subsequent CHD and diabetes than the formal definition of metabolic syndrome. Conclusions: These results suggest that the concept of metabolic syndrome accurately captures an existing underlying physiological process. A continuous indicator could be constructed to identify more accurately metabolic syndrome thus improving risk assessment for CHD and diabetes mellitus. Metabolic syndrome can be measured well even without all five predictors, though measurement is improved by PCA relative to dichotomized definitions. However, discrepancies with other studies suggest that our results may not be generalizable, perhaps because our cohort tends to be sicker
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