Managing public outrage

Over the past three decades, scholars studying the phenomenon of political scandal have mostly based their works on the premise that scandals can only occur in liberal democracies. Contradictory to this assumption, however, some of the most heavily discussed phenomena in contemporary semi-authoritarian Russia are scandals emanating from the new, vibrant sphere of social media thriving on a largely unfiltered internet. How are these ‘internet scandals’ impacting politics in the semi-authoritarian political environment? To address this and related questions, I juxtapose two case studies of police corruption scandals that erupted in the social media sphere in 2009/2010. Drawing on the findings, I argue that Russia’s ruling elites are presently very much capable of managing these outbursts of public outrage. Mainly with the help of the powerful state-controlled television, public anger is very swiftly redirected towards lower-level authorities and foreign, supposedly hostile powers

Market overview of the couponing business in Russia

The purpose of the research was to gather information about Russian market in couponing business and to know how to get the full market potential. The research questions were what the current situation of the couponing business is, how online shopping works in Russia and how to increase brand awareness through marketing methods. The whole sector of online shopping in Russia is still on the low level of development, that is why it is important to look more detailed on the market and find new development strategies. The topic of the thesis is directly linked to the digital industry that is why the data were collected via various online articles, books, e-books, journals, and interviews. In the research, the secondary data were mainly used and supported by quantitative research methods. Also, the research includes a qualitative research method - interview with a Team Leader of the Russian team. Statistics were based on different sources and real-life examples. The research found that Russian market has a high potential, however, still there are some issues why people do not trust online shopping (example – delivery, timing, etc.). Moreover, it is a different culture where people are not educated enough about the ways of saving money. By building a couponing business in Russia significance goes to the cultural differences, research includes comparison with other countries. Another significant aspect is SEO. There are many ways to improve SEO activities, however, the issue of low coupons awareness brings the websites to suffer from low traffic. The findings also indicate the significance of marketing tools in e-commerce niche. There are main principles to succeed in e-mail marketing and social media which we are going to implement in our daily activities to see how it will affect the revenues. Affiliate marketing is really big in Russia, it is growing and developing and with the help of White Label strategies, which is the focus of the taken start-up business, it is possible to gain a strong customer base

Open budget data: mapping the landscape

This report offers analysis of the emerging issue of open budget data, which has begun to gain traction amongst advocates and practitioners of financial transparency. Issues and initiatives associated with the emerging issue of open budget data are charted in different forms of digital media. The objective is to enable practitioners – in particular civil society organisations, intergovernmental organisations, governments, multilaterals and funders – to navigate this developing field and to identify trends, gaps and opportunities for supporting it. How public money is collected and distributed is one of the most pressing political questions of our time, influencing the health, well-being and prospects of billions of people. Decisions about fiscal policy affect everyone - determining everything from the resourcing of essential public services, to the capacity of public institutions to take action on global challenges such as poverty, inequality or climate change. Digital technologies have the potential to transform the way that information about public money is organised, circulated and utilised in society, which in turn could shape the character of public debate, democratic engagement, governmental accountability and public participation in decision-making about public funds. Data could play a vital role in tackling the democratic deficit in fiscal policy and in supporting better outcomes for citizens

Internet Marketing as a Tool for the Development of Industrial Enterprises in Modern Economic Conditions

The article highlights the values and the main role of Internet marketing in the activities of an industrial enterprise. The main advantages, composition and segments of Internet marketing are defined. It was determined how the features of the activity in the industrial consumer market influence the development of the Internet marketing strategy. Identified specific aspects of the strategy of Internet marketing, which should be taken into account by enterprises in its development. The key trends in the environment of industrial consumers, formed under the influence of the development and penetration of Internet technologies into the business environment, are investigated. It is proved that the introduction of individual activities of Internet marketing, there is a saving on the marketing costs of the enterprise. The composition and tools of Internet marketing of industrial enterprises of Ukraine are proposed, which should be involved in the Internet marketing strategy of industrial enterprises and ways to use them to improve the efficiency of enterprises: a marketing automation system, a CRM system, a website, search marketing, an online marketplace. content marketing.У статті висвітлено значення та основна роль Інтернет-маркетингу у діяльності промислового підприємства. Визначено основні переваги, складові та сегменти Інтернет-маркетингу. Визначено, яким чином особливості діяльності на ринку промислових споживачів впливають на розробку стратегії Інтернет-маркетингу. Виявлено особливі аспекти стратегії Інтернет-маркетингу, які мають бути враховані підприємствами при її розробці. Досліджено ключові тенденції у середовищі промислових споживачів, сформовані під впливом розвитку та проникнення Інтернет-технологій у бізнес-середовище. Доведено, що при впровадженні індивідуальних заходів Інтернет-маркетингу спостерігається економія на маркетингових витратах підприємства. Запропоновано складові та інструменти Інтернет-маркетингу промислових підприємств України, які мають бути задіяні у стратегії Інтернет-маркетингу промислових підприємств та шляхи їх використання для підвищення ефективності діяльності підприємств: система автоматизації маркетингу, CRM-система, веб-сайт, пошуковий маркетинг, онлайн-маркетплейси, контент-маркетинг.В статье освящены значения и основная роль Интернет-маркетинга в деятельности промышленного предприятия. Определены основные преимущества, состав и сегменты Интернет-маркетинга. Определено, каким образом особенности деятельности на рынке промышленных потребителей влияют на разработку стратегии Интернет-маркетинга. Выявлены особые аспекты стратегии Интернет-маркетинга, которые должны быть учтены предприятиями при ее разработке. Исследованы ключевые тенденции в среде промышленных потребителей, сформированные под влиянием развития и проникновения Интернет-технологий в бизнес-среду. Доказано, что при внедрении индивидуальных мероприятий Интернет-маркетинга наблюдается экономия на маркетинговых затратах предприятия. Предложено состав и инструменты Интернет-маркетинга промышленных предприятий Украины, которые должны быть задействованы в стратегии Интернет-маркетинга промышленных предприятий та пути их использования для повышения эффективности деятельности предприятий: система автоматизации маркетинга, CRM-система, веб-сайт, поисковый маркетинг, онлайн-маркетплейси, контент-маркетинг

Genesis of Altmetrics or Article-level Metrics for Measuring Efficacy of Scholarly Communications: Current Perspectives

The article-level metrics (ALMs) or altmetrics becomes a new trendsetter in recent times for measuring the impact of scientific publications and their social outreach to intended audiences. The popular social networks such as Facebook, Twitter, and Linkedin and social bookmarks such as Mendeley and CiteULike are nowadays widely used for communicating research to larger transnational audiences. In 2012, the San Francisco Declaration on Research Assessment got signed by the scientific and researchers communities across the world. This declaration has given preference to the ALM or altmetrics over traditional but faulty journal impact factor (JIF)-based assessment of career scientists. JIF does not consider impact or influence beyond citations count as this count reflected only through Thomson Reuters' Web of Science database. Furthermore, JIF provides indicator related to the journal, but not related to a published paper. Thus, altmetrics now becomes an alternative metrics for performance assessment of individual scientists and their contributed scholarly publications. This paper provides a glimpse of genesis of altmetrics in measuring efficacy of scholarly communications and highlights available altmetric tools and social platforms linking altmetric tools, which are widely used in deriving altmetric scores of scholarly publications. The paper thus argues for institutions and policy makers to pay more attention to altmetrics based indicators for evaluation purpose but cautions that proper safeguards and validations are needed before their adoption

Predicting Startup Success Using Publicly Available Data

Predicting the success of an early-stage startup has always been a major effort for investors and venture funds. Statistically, there are about 305 million total startups created in a year, but less than 10% of them succeed to become profitable businesses. Accurately identifying the signs of startup growth is the work of countless investors, and in recent years, research has turned to machine learning in hopes of improving the accuracy and speed of startup success prediction. To learn about a startup, investors have to navigate many different internet sources and often rely on personal intuition to determine the startup’s potential and likelihood of success. This thesis explores whether online data about a company, particularly general company data, previous funding events, published news articles, internet presence, and social media activity can be used to identify fast-growing startups. Data collected from Crunchbase, the Google Search API, and Twitter was used to predict whether a company will raise a round of funding within a fixed time horizon. A total of ten machine learning models were evaluated and the CatBoost ensemble method achieved the best performance with precision, recall, and F1 scores of 0.663, 0.827, and 0.736 respectively for predicting funding within 3 years. The same ensem- ble method achieved F1 scores of 0.528, 0.683, 0.736, 0.763, and 0.777 at predicting funding 1-5 years into the future. The final objective was to predict whether a startup that had already raised an angel or seed round would raise another investment within a one-year horizon. The CatBoost model with a 0.75 cutoff achieved precision and F0.1 scores of 0.790 and 0.774, beating the results of previous work in this field