16 resultados para Government Public Relations
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
Waehrend zu Public Governance eine breite wissenschaftliche Debatte existiert und die Analyse staatlicher Aufgabeerfuellung davon profitiert, so steht die praxisnahe Umsetzung weniger im Zentrum der wissenschaftlichen Betrachtungen. Open Government hingegen entwickelt sich als relevante Praktikerbewegung ohne in die wissenschaftliche Diskussion eingeflossen zu sein. Dieser Artikel verbindet die beiden bislang unabhaengig voneinander existierenden Ansaetze und zeigt den Mehrwert von Open Government zur Umsetzung von Public Governance auf.
Resumo:
We estimate the underpricing and long-run performance of Swiss initial public offerings (IPOs) from 1983 to 2000. The average market adjusted initial return is 34.97%. To examine the long-run performance of Swiss IPOs, we compute buy-and-hold abnormal returns, skewness-adjusted wealth ratios, and cumulative abnormal returns using 120 months of secondary market returns. In contrast to previous findings for the U.S. and Germany, we do not find strong evidence for a distinct IPO effect. We attribute long-run underperformance to the fact that IPO firms tend to be small firms. It virtually vanishes when we use a small capitalization index as a benchmark. In spite of distinct economic implications and statistical properties, our basic results are similar for all performance measures applied.
Resumo:
Die Open Government Bewegung soll der Verwaltungsführung mehr Transparenz und Verständnis entgegenbringen. Durch Open Finance Apps werden Finanzangaben und dazugehörige Informationen verständlich zugänglich gemacht und Grössenverhältnisse veranschaulicht.
Resumo:
For the main part, electronic government (or e-government for short) aims to put digital public services at disposal for citizens, companies, and organizations. To that end, in particular, e-government comprises the application of Information and Communications Technology (ICT) to support government operations and provide better governmental services (Fraga, 2002) as possible with traditional means. Accordingly, e-government services go further as traditional governmental services and aim to fundamentally alter the processes in which public services are generated and delivered, after this manner transforming the entire spectrum of relationships of public bodies with its citizens, businesses and other government agencies (Leitner, 2003). To implement this transformation, one of the most important points is to inform the citizen, business, and/or other government agencies faithfully and in an accessible way. This allows all the partaking participants of governmental affairs for a transition from passive information access to active participation (Palvia and Sharma, 2007). In addition, by a corresponding handling of the participants' data, a personalization towards these participants may even be accomplished. For instance, by creating significant user profiles as a kind of participants' tailored knowledge structures, a better-quality governmental service may be provided (i.e., expressed by individualized governmental services). To create such knowledge structures, thus known information (e.g., a social security number) can be enriched by vague information that may be accurate to a certain degree only. Hence, fuzzy knowledge structures can be generated, which help improve governmental-participants relationship. The Web KnowARR framework (Portmann and Thiessen, 2013; Portmann and Pedrycz, 2014; Portmann and Kaltenrieder, 2014), which I introduce in my presentation, allows just all these participants to be automatically informed about changes of Web content regarding a- respective governmental action. The name Web KnowARR thereby stands for a self-acting entity (i.e. instantiated form the conceptual framework) that knows or apprehends the Web. In this talk, the frameworks respective three main components from artificial intelligence research (i.e. knowledge aggregation, representation, and reasoning), as well as its specific use in electronic government will be briefly introduced and discussed.
Resumo:
This research investigated how an individual’s endorsements of mitigation and adaptation relate to each other, and how well each of these can be accounted for by relevant social psychological factors. Based on survey data from two European convenience samples (N = 616 / 309) we found that public endorsements of mitigation and adaptation are strongly associated: Someone who is willing to reduce greenhouse gas emissions (mitigation) is also willing to prepare for climate change impacts (adaptation). Moreover, people endorsed the two response strategies for similar reasons: People who believe that climate change is real and dangerous, who have positive attitudes about protecting the environment and the climate, and who perceive climate change as a risk, are willing to respond to climate change. Furthermore, distinguishing between (spatially) proximal and distant risk perceptions suggested that the idea of portraying climate change as a proximal (i.e., local) threat might indeed be effective in promoting personal actions. However, to gain endorsement of broader societal initiatives such as policy support, it seems advisable to turn to the distant risks of climate change. The notion that “localising” climate change might not be the panacea for engaging people in this domain is discussed in regard to previous theory and research.
Resumo:
The concept of digital sustainability is mentioned in research on digital preservation as well as on openness topics. Both streams of literature point out the necessary discussion how to create, use, and regulate digital resources in order to maximize their value for our society today and in the future. This paper therefore reviews current work on digital sustainability, presents a list of six charac-teristics how to define digitally sustainable goods, and draws the link to aspects of e-government.
Resumo:
It is a challenge to measure the impact of releasing data to the public since the effects may not be directly linked to particular open data activities or substantial impact may only occur several years after publishing the data. This paper proposes a framework to assess the impact of releasing open data by applying the Social Return on Investment (SROI) approach. SROI was developed for organizations intended to generate social and environmental benefits thus fitting the purpose of most open data initiatives. We link the four steps of SROI (input, output, outcome, impact) with the 14 high-value data categories of the G8 Open Data Charter to create a matrix of open data examples, activities, and impacts in each of the data categories. This Impact Monitoring Framework helps data providers to navigate the impact space of open data laying out the conceptual basis for further research.
Resumo:
No-bid contracting is a highly prevalent practice in public procurement of technology services. Alt-hough no-bid contracting is a substantial problem since it reduces competition and welfare, the litera-ture lacks theoretical explanations and empirical tests for why public organizations award no-bid con-tracts. In this paper, we propose three theoretical explanations for no-bid contracting, drawing on transaction cost economics, organizational learning, and institutional theory. We also present how we test these explanations using a comprehensive sample of public procurement transactions. We expect to contribute theoretical explanations for no-bid contracting and practical implications for policy-makers.
Resumo:
With whom should entrepreneurs create their firms in order to enhance nascent venture performance? Conventional wisdom suggests that the stronger human capital and social relations in nascent venture teams are, the better the nascent venture’s performance. We draw from social embeddedness literature, however, and argue that the positive effect of team members’ human capital on three different dimensions of nascent venture performance is weaker when team members exhibit strong social relations. Our analysis of 488 nascent venture teams in the PSED II dataset confirms our predictions, showing that nascent ventures of teams with strong human capital but weaker social relations exhibit the best performance. The study thus offers valuable contributions particularly to literature on entrepreneurial teams the determinants of new venture performance.