945 resultados para online application form
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In recent years, the formerly oligopolistic Enterprise Application Software (EAS) industry began to disintegrate into focal inter-firm networks with one huge, powerful, and multi-national plat-form vendor as the center, surrounded by hundreds or even thousands of small, niche players that act as complementors. From a theoretical point of view, these platform ecosystems may be governed by two organizing principles - trust and power. However, it is neither from a practical nor from a theoretical perspective clear, how trust and power relate to each other, i.e. whether they act as complements or substitutes. This study tries to elaborate our understanding of the relationship of trust and power by exploring their interplay using multi-dimensional conceptual-izations of trust and power, and by investigating potential dynamics in this interplay over the course of a partnership. Based on an exploratory multiple-case study of seven dyadic partner-ships between four platform vendors, and seven complementors, we find six different patterns of how trust and power interact over time. These patterns bear important implications for the suc-cessful management of partnerships between platform vendors and complementors, and clarify the theoretical debate surrounding the relationship of trust and power.
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In this article we argue that it is pressing to study the “hybrid media system” at the intersection of online and offl ine communication and its potential for agenda building. The topic is relevant because it is argued that the internet off ers new opportunities of public infl uence for challengers without access to political decision making. Except for single case studies, little is known about the conditions under which these actors succeed. Informed by the research on agenda building we tackle with the mechanisms of online-offline media agenda building and the conditions under which challengers succeed to produce issue spill-over into conventional mass media. We develop a theoretical framework for investigating the linkage between online communication and traditional mass media and discuss how our model translates into empirical research. We conclude that the nature of online networks is critical for spill-over, but also the issue itself and the structure of the political system.
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During the last decades, the narcissistic personality inventory (npi) was the most widely used questionnaire to measure narcissism as a personality trait. But the npi assesses grandiose narcissism only, while recent discussions emphasize the existence of vulnerable narcissism. The pathological narcissism inventory (pni, pincus et al., 2009) is a new questionnaire assessing these different aspects of narcissism. However, with 54 items on seven subscales, the pni is quite long to serve as a screening tool for narcissistic traits. We therefore developed a short form to facilitate its application in research and practice. Even though the pni covers different symptoms of narcissism, they are all expressions of the same underlying construct. We therefore used the rasch model to guide the item selection. Method and results: a sample of 1837 participants (67.5% female, mean age 26.8 years) was used to choose the items for the short form. Two criteria were adopted: all aspects, represented by the seven subscales in the original, should be retained, and items should be rasch homogenous. In a step-by-step procedure we excluded items successively until reaching a homogenous pool of 22 items. All remaining items had satisfactory fit indices and fitstatistics for the model were good. characteristics of the resulting short form were tested using a new independent validation sample (n=104, mean age = 32.8, 45% female). Correlations of the short pni with different validation measures were comparable to the correlations obtained with the original form, indicating that the two forms were equivalent. Conclusion: the resulting one-dimensional measure can be used as a screening questionnaire for pathological narcissism. The rasch homogeneity facilitates the comparison of narcissism scores among a variety of samples.
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Cybermobbing ist ein brisantes Thema, das seit über einem Jahrzehnt weltweit für Aufsehen sorgt. Es handelt sich um eine elektronische Mobbingvariante, die vom Versenden einer beleidigenden SMS bis hin zum Veröffentlichen von peinlichen Videos auf YouTube oder Facebook geht. Cybermobbing kann als ungünstiges Nebenprodukt des gesellschaftlichen Wandels hin zur digitalen Kommunikation gesehen werden. Cybermobbing ist deswegen nicht nur ein individuelles, sondern auch ein gesellschaftliches Problem, das in diesem größeren Rahmen betrachtet werden muss. Sowohl das Individuum als auch die Familie, die Gleichaltrigen, die Schule und der gesellschaftliche Kontext sind wichtige Akteure einerseits bei Entstehung und Aufrechterhaltung von Cybermobbing, andererseits bei dessen Prävention und Intervention.
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Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. This dissertation can be split into three parts: In the first part, possible fuzzy clustering applications for the Social Semantic Web are investigated. The second part explores promising Social Semantic Web elements for organizational applications,while in the third part the former two parts are brought together and a fuzzy online reputation analysis framework is introduced and evaluated. Theentire PhD thesis is based on literature reviews as well as on argumentative-deductive analyses.The possible applications of Social Semantic Web elements within organizations have been researched using a scenario and an additional case study together with two ancillary case studies—based on qualitative interviews. For the conception and implementation of the online reputation analysis application, a conceptual framework was developed. Employing test installations and prototyping, the essential parts of the framework have been implemented.By following a design sciences research approach, this PhD has created two artifacts: a frameworkand a prototype as proof of concept. Bothartifactshinge on twocoreelements: a (cluster analysis-based) translation of tags used in the Social Web to a computer-understandable fuzzy grassroots ontology for the Semantic Web, and a (Topic Maps-based) knowledge representation system, which facilitates a natural interaction with the fuzzy grassroots ontology. This is beneficial to the identification of unknown but essential Web data that could not be realized through conventional online reputation analysis. Theinherent structure of natural language supports humans not only in communication but also in the perception of the world. Fuzziness is a promising tool for transforming those human perceptions intocomputer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management.
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The fuzzy online reputation analysis framework, or “foRa” (plural of forum, the Latin word for marketplace) framework, is a method for searching the Social Web to find meaningful information about reputation. Based on an automatic, fuzzy-built ontology, this framework queries the social marketplaces of the Web for reputation, combines the retrieved results, and generates navigable Topic Maps. Using these interactive maps, communications operatives can zero in on precisely what they are looking for and discover unforeseen relationships between topics and tags. Thus, using this framework, it is possible to scan the Social Web for a name, product, brand, or combination thereof and determine query-related topic classes with related terms and thus identify hidden sources. This chapter also briefly describes the youReputation prototype (www.youreputation.org), a free web-based application for reputation analysis. In the course of this, a small example will explain the benefits of the prototype.
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Wie bisherige experimentelle Forschung gezeigt hat, beeinflusst die geschlechtergerechte Formulierung von Stellenausschreibungen die angesprochene Zielgruppe und damit die Personalauswahl. Wie verbreitet ist nun geschlechtergerechte Sprache in Stellenausschreibungen und mit welchen Faktoren hängt ihre Verwendung zusammen (z.B. Sprache, Kultur, Status und Geschlechtstypikalität des Berufes)? Wir untersuchten die Verwendung geschlechtergerechter Sprache in online publizierten Stellenausschreibungen in vier europäischen Ländern mit unterschiedlicher Geschlechtergleichstellung (World Economic Forum, 2011), nämlich die Schweiz, (10), Österreich (Rang 34), Polen (42) und Tschechien (75). Aus vier Branchen mit unterschiedlichen Anteilen weiblicher Angestellter – Stahl- und Metallbau, Forschung, Gastronomie und Gesundheitswesen – wurden jeweils 100 Stellenausschreibungen analysiert. Erste Analysen zeigen, dass die Formulierung der Stellenausschreibungen eng mit der Geschlechtstypikalität des Berufes zusammenhängt. So werden im Gesundheitswesen vorwiegend Formulierungen verwendet, die beide Geschlechter ansprechen. Dagegen sind die Stellenausschreibungen im Stahl- und Metallbau vermehrt rein maskulin formuliert. Feminine Formen werden kaum verwendet. Kultur- und sprachspezifische Unterschiede sowie Zusammenhänge mit sozioökonomischem Status werden diskutiert.
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Research has shown that gender references in job advertisements play an important role for gender (in)equality in personnel selection. In advertisements gender is referred to in different ways, for instance, by using grammatically masculine and feminine human nouns (e.g., German Mechaniker/Mechanikerin 'mechanic, masc./fem.'), by mentioning typically feminine or typically masculine traits (e.g., kind and friendly versus determined and independent) as well as by showing pictures of women and men. The present study addresses the questions which forms of gender references occur in job advertisements, how these forms are distributed across different lines of business and across different countries. We collected job advertisements published online in four countries with different rankings of gender equality (i.e., Switzerland, Austria, Poland, and Czech Republic; World Economic Forum, 2011). We randomly selected 100 advertisements per country from four lines of business that are characterized by different proportions of female and male employees: (1) steels/metals, (2) science, (3) restaurants/food services, and (4) health care. The advertisements were analyzed with regard to the linguistic form of the job title and of the remaining text as well as reference to gender-typical traits. We also examined indicators of job status and other information (e.g., equal opportunity policies) which might be related to the use of gender references in job advertisements. The results show that, in general, gender-fair language occurs much more often in job ads from Switzerland and Austria than in those from Poland and the Czech Republic, where job titles are mostly masculine. While exclusive use of feminine forms are almost never used in Switzerland and Austria, they are more frequently used in Poland and Czech Republic. In general, gender-fair forms are more common when there are many women in a line of business, whereas more masculine forms are used where the proportion of women is low. In Switzerland and Austria, masculine forms are mostly combined with the supplement m/f to indicate that both women and men are addressed. The present data provide a sound basis for future studies on gender references in job advertisements. Furthermore it sheds a light on how companies comply with national guidelines of gender equality.
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BACKGROUND: Depressive disorders are among the leading causes of worldwide disability with mild to moderate forms of depression being particularly common. Low-intensity treatments such as online psychological treatments may be an effective way to treat mild to moderate depressive symptoms and prevent the emergence or relapse of major depression. METHODS/DESIGN: This study is a currently recruiting multicentre parallel-groups pragmatic randomized-controlled single-blind trial. A total of 1000 participants with mild to moderate symptoms of depression from various settings including in- and outpatient services will be randomized to an online psychological treatment or care as usual (CAU). We hypothesize that the intervention will be superior to CAU in reducing depressive symptoms assessed with the Personal Health Questionnaire (PHQ-9, primary outcome measure) following the intervention (12 wks) and at follow-up (24 and 48 wks). Further outcome parameters include quality of life, use of health care resources and attitude towards online psychological treatments. DISCUSSION: The study will yield meaningful answers to the question of whether online psychological treatment can contribute to the effective and efficient prevention and treatment of mild to moderate depression on a population level with a low barrier to entry. TRIAL REGISTRATION: Trial Registration Number: NCT01636752.
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Images of an object under different illumination are known to provide strong cues about the object surface. A mathematical formalization of how to recover the normal map of such a surface leads to the so-called uncalibrated photometric stereo problem. In the simplest instance, this problem can be reduced to the task of identifying only three parameters: the so-called generalized bas-relief (GBR) ambiguity. The challenge is to find additional general assumptions about the object, that identify these parameters uniquely. Current approaches are not consistent, i.e., they provide different solutions when run multiple times on the same data. To address this limitation, we propose exploiting local diffuse reflectance (LDR) maxima, i.e., points in the scene where the normal vector is parallel to the illumination direction (see Fig. 1). We demonstrate several noteworthy properties of these maxima: a closed-form solution, computational efficiency and GBR consistency. An LDR maximum yields a simple closed-form solution corresponding to a semi-circle in the GBR parameters space (see Fig. 2); because as few as two diffuse maxima in different images identify a unique solution, the identification of the GBR parameters can be achieved very efficiently; finally, the algorithm is consistent as it always returns the same solution given the same data. Our algorithm is also remarkably robust: It can obtain an accurate estimate of the GBR parameters even with extremely high levels of outliers in the detected maxima (up to 80 % of the observations). The method is validated on real data and achieves state-of-the-art results.
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Introduction Online courses provide flexible access to education from a distance. However, learners may encounter frustration and disappointment in the learning process for various reasons. Faculties might not be familiar with adult learning principles. The online course developer may have no knowledge, experience, or the skills necessary for developing online courseware. Online course development can take longer time and more resources. It can also take longer time to deliver the course. It is, therefore, important that online course development be made efficient and effective for best student learning. [See PDF for complete abstract]
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This study assessed the perceptions of college students regarding the instructional quality of online and web based courses via a content management system. [See PDF for complete abstract]