The following dissertation is a series of three essays in behavioral/experimental and labor economics: (1) Information Asymmetry in Job Search, (2) Minority Turnout and Representation under Cumulative Voting. An Experiment, and (3) Networks and Labor Mobility: A Study of LinkedIn Profiles in the Biotechnology Sector. Standard models of rational job search assume agents know the distribution of offered wages when deciding which jobs to accept. In Chapter 1, coauthored with Kai Zen, I test if incorrect beliefs about wages affect real-world job search behavior in a field experiment with 1100 senior-year undergraduate students in the graduating Class of 2023 at the University of California, Berkeley. Partnering with the Career Center, we present personalized information graphics on school-and-major-specific salary distributions to students in the treatment group. We first document novel evidence that even prior to labor market entry, errors exist in wage beliefs – some students overestimate the available distribution, while others underestimate the available distribution. Post-treatment, we find that students treated with correct information update their beliefs towards the truth, and this is reflected in changes in reservation wages. At the end of the school year, we find that in comparison to the control group, students who increased their reservation wage after treatment had higher total and base salaries conditional on employment, a result significant at the 5% level. However, these same students had a lower, but imprecisely estimated likelihood of being employed by June post-graduation. An opposite but symmetric effect occurred for students who decreased their reservation wage. Our results are consistent with job search models where workers with more optimistic expectations wait longer to accept a job, but accept higher wages. We compare our experimental estimates to simulated moments from the model and find that the mean experimental effect is close to the model in magnitude under reasonable parameters. Our paper suggests an economically important role for errors in beliefs about labor market conditions and shows the effectiveness of a light-touch information intervention on employment and earnings for first-time job seekers. Chapter 2, coauthored with Alessandra Casella and Jeffrey Guo, asks how an alternative voting system can increase the voter turnout and representation of minorities. Under majoritarian election systems, securing the participation and representation of minorities remains an open problem, made salient in the US by its history of voter suppression. One remedy recommended by the courts is the adoption of Cumulative Voting (CV) in multi-member districts: each voter has as many votes as open positions but can cumulate votes on as few candidates as desired. Historical experiences are promising but also reflect episodes of minority activism. We present the results of a controlled lab experiment that isolates the role of the voting rule from other confounds. Although each voter is treated equally, theory predicts that CV should increase the minority's turnout relative to the majority and the minority's share of seats won. Our experimental results strongly support both theoretical predictions. In Chapter 3, using LinkedIn profiles data on the biotechnology sector, it is possible to construct a measure of individuals' networks based on coworkers within the same firm and location. Exploiting such a measure, I intend to test the impact of network size on future employment in the biotechnology sector, which has frequent employee turnover due to unanticipated clinical trial failures. In doing so, I seek to answer the following question: Do larger or higher-quality networks cushion against negative employment shocks? According to preliminary evidence, connections help workers find jobs more quickly. Currently, the network measure is imperfect, the data set on which the preliminary results are based is small, and the assumptions underlying the statistical analysis can be questioned. However, all three limitations can be overcome. I highlight in this chapter the steps to be taken to do so.

The thesis deals with the etiquette within social media and social network sites as a part of network media. First section focuses on the phenomenon of etiquette in historical context and deals with associated terms such as courtesy and politeness. Second part deals with documents concerning so called netiquette - network etiquette. Finally the third part focuses on the etiquette within social network sites (SNS). The paper analyses three SNS - Facebook, Twitter and LinkedIn and their official rules concerning appropriate user behaviour. Furthermore there are also unofficial rules created by users, enthusiasts, bloggers and journalists defined in the paper. Last part focuses on some phenomena that are significantly related to the topic of social media etiquette. The finding of the thesis shows that there are certain SNS etiquette rules and suggestions that are repetitive. It was also discovered that there is lack of uniform official etiquette rules within the SNS whereas the membership of users plays an important role in shaping those rules, advice and suggestions.

The diploma thesis LinkedIn as a phenomenon in the labour market focuses on the social network called LinkedIn and its impacts in the area of recruitment and selection of technical staff on the Czech labour market. The aim of the thesis is to point to the existence of the phenomenon LinkedIn. The thesis is divided into four chapters. The first one is dedicated to social networks, their definition, history, importance, classification and users. The second one is centered on LinkedIn as a specific example of a social network focusing on its history and present and overlapping into the recruitment and selection of staff. Also mentioned is the setting and appearance of the account on LinkedIn and how to reach workers on LinkedIn. The methodological part describes the chosen method of research. The analytical part tries to summarize and interpret the acuired data.

This diploma thesis deals with a new trend in the corporate sector -- social networks. These in fact have become a phenomenon due to its growing popularity in recent years. The aim of this thesis is to introduce the social networks in a broader context -- especially the analysis of milestones of social networks. Further comparison of selected social networks from the perspective of business alias what options the company offers a social network for your presentation with access to user data (Social CRM). The third part of the aim of this work is to analyze the critical factors in the integration of social networks into the enterprise information system. The work can be divided into the descriptive (Chapters 2-4) and the practical (Chapters 5-6) part. The first part presents the social networks, the concept of Social CRM and basic characteristics of systems integration. The practical part is focused on all those aims. Author of the work receives information primarily from the electronic information resources that are available at University of Economic in Prague and also from various sources that are on the principle of Web 2.0 (Czech and foreign). Finally, the author also receives information from social networks (social networks options). The work serves as a summary and mapping of existing communication channels on the Internet (e-mail, IRC, selected social networks) and summarizes the critical factors in the integration of social networks into the enterprise information system according to the individual project phases.

No description available.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-10-26T23:54:54Z No. of bitstreams: 1 TatianaNascimentoAugustoDutraAlves_DISSERT.pdf: 2277683 bytes, checksum: 0cbde962e649c59647b6d68835f747f7 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-12-27T16:40:13Z (GMT) No. of bitstreams: 1 TatianaNascimentoAugustoDutraAlves_DISSERT.pdf: 2277683 bytes, checksum: 0cbde962e649c59647b6d68835f747f7 (MD5) / Made available in DSpace on 2016-12-27T16:40:13Z (GMT). No. of bitstreams: 1 TatianaNascimentoAugustoDutraAlves_DISSERT.pdf: 2277683 bytes, checksum: 0cbde962e649c59647b6d68835f747f7 (MD5) Previous issue date: 2016-05-23 / A (auto) representa??o identit?ria do Profissional de Informa??o transforma-se diante da abrang?ncia e sofistica??o dos meios de informa??o e comunica??o na sociedade contempor?nea. Assim, emergem novas intera??es em ambientes virtuais e novas pr?ticas culturais para acomodar o perfil do profissional que utiliza a rede social digital como um canal de comunica??o. Neste estudo problematiza-se a inscri??o do profissional na ambi?ncia da rede social digital Linkedin quanto ? representa??o de si em termos de compet?ncia e atualidade para que seja localizado e acionado no mercado de trabalho cognitivo e imaterial. Objetiva-se, de modo geral, investigar as pr?ticas da representa??o de si feitas pelos Profissionais da informa??o que disponibilizam curr?culo por meio do Linkedin. Especificamente, verifica-se como as pr?ticas do Profissional da Informa??o impactam na constru??o do curr?culo e identidade profissional; identifica-se como esses profissionais evidenciam compet?ncias nesta ambi?ncia; e, por fim, analisa-se como se configura o seu ethos. Conclu?mos com vislumbres de novas e poss?veis pr?ticas mercadol?gicas tanto para o profissional quanto para a profiss?o. / The Information Professional?s (self) representation of identity evolves before the considerable coverage and sophistication of the information and communication means in contemporary society. Thus, new interactions in virtual environments and new cultural practices emerge to accommodate the profile of the professional who uses digital social network as a channel for communication. The registration of the professional in the LinkedIn social network ambience is analyzed in this study concerning about their own representation in terms of both competence and relevance in order to be located and engaged into the cognitive and immaterial labor market. Overall, the objective is to investigate the practices of the self-representation done by Information Professionals who make their curriculum available by means of LinkedIn social network. Specifically, it is verified how the Information Professional?s practices affects both the construction of the curriculum and the professional identity; how these professionals show their competences in this ambience; and, finally, how the ethos is set. It was concluded with glimpses of new possibilities for new market practices for the professional and the profession.

LinkedIn är ett socialt medie och nätverk där användarna har direktkommunikation med varandra. LinkedIn används för att skapa arbetsrelationer, dialog och professionella kontaktnät. Det är inte ovanligt att företag, myndigheter eller kommuner har profiler på LinkedIn. Eskilstuna kommun använder LinkedIn i syfte att rekrytera, men saknar riktlinjer kring kommunikation specifikt anpassade efter LinkedIn. Tidigare studier visar att svenska kommuner återanvänder riktlinjer som finns för deras analoga medier som riktlinjer för deras sociala medier. Kommunerna tar inte hänsyn till de sociala mediernas tekniska aspekter och har en tendens att försöka styra dem, snarare än att låta de sociala medierna styra hur riktlinjerna bör se ut. Syftet med mitt arbete var att ta reda på hur riktlinjer för myndigheters kommunikation på LinkedIn, med hjälp av stilistiska teorier om innehåll, stilnivå och personlighet kan se ut. Med stöd i stilistik, organisationskommunikation samt regler och riktlinjer för myndighetsspråk utförde jag tre empiriska studier. Jag skapade en enkät som besvarades av användare av LinkedIn, en telefonintervju med två LinkedIn-experter, samt en textanalys där jag analyserade stil och jämförde två myndigheters inlägg på LinkedIn. Slutsatser som dragits i arbetet är bland annat att dialog är viktigt. En synlig avsändare och ett blandat innehåll kan leda till förbättrad kommunikation på LinkedIn. Myndigheterna bör våga vara personliga och skapa relation till sina följare genom frågor, uppmaningar och ett enkelt språk anpassat efter målgruppen. / LinkedIn is a social network where users have direct communication with each other. LinkedIn is used to create work relations, dialogue and professional networks. It is not uncommon for companies, governments and municipalities to have profiles on LinkedIn. Eskilstuna municipality uses LinkedIn for the purpose of recruiting, but lacks guidelines for communication specifically adapted to LinkedIn. Previous studies show that Swedish municipalities reuse guidelines for their analog media as guidelines for their social media. The municipalities do not take into account the technical aspects of social media and tend to try to control them, rather than letting the social media control how the guidelines should look. The purpose of my study was to find out how guidelines for government communication on LinkedIn can look like, using stylistic theories about content, style and personality. With support in stylistic theories, organizational communication, and rules and guidelines for government language, I conducted three empirical studies. I created a questionnaire answered by LinkedIn users, a telephone interview with two LinkedIn experts, as well as a text analysis where I analyzed style and compared two governments' posts on LinkedIn. Conclusions drawn from my study include the fact that dialogue is important. A visible sender and mixed content can lead to improved communication on LinkedIn. Governments and municipalities should dare to be personal and try to create relationships with their followers through questions, requests and a simple language tailored to the target audience.

Nous sommes à l’aube d’une nouvelle ère du data mining, celle du stockage, traitement, analyse et exploitation des données massives que l’on appelle Big Data. Les données sont devenues une nouvelle matière première, très prisée par les entreprises de tout type et de toute taille à travers le monde ; elles permettent d’analyser, de comprendre, de modéliser et d’expliquer certains phénomènes comme le comportement et les préférences des utilisateurs ou clients d’une entreprise donnée. La compréhension des préférences des utilisateurs et des clients d’une entreprise permet de leur proposer de la publicité ciblée afin d’augmenter les ventes et la satisfaction des clients et ainsi pouvoir améliorer les revenues de l’entreprise, ce que les géants du Web comme Google, Facebook, LinkedIn et Twitter ont bien compris. Cette thèse de doctorat a été réalisée dans le cadre d’une convention CIFRE entre le laboratoire L2TI de l’université Paris 13 et la start-up franco-américaineWork4 qui développe des applications de recrutement sur Facebook. Son objectif principal était la mise au point d’un ensemble d’algorithmes et méthodes pour proposer aux utilisateurs des réseaux sociaux les offres d’emploi les plus pertinentes. Le développement de nos algorithmes de recommandation a nécessité de surmonter de nombreuses difficultés telles que le préservation de la vie privée des utilisateurs des réseaux sociaux, le traitement des données bruitées et incomplètes des utilisateurs et des offres d’emploi, la difficulté de traitement des données multi-langues et, plus généralement, la difficulté d’extraire automatiquement les offres d’emploi pertinentes pour un utilisateur donné parmi un ensemble d’offres d’emploi. Les systèmes développés durant cette thèse sont principalement basés sur les techniques de systèmes de recommandation, de recherche documentaire,de fouille de données et d’apprentissage artificiel ; ils ont été validés sur des jeux de données réels collectés par l’entreprise Work4. Dans le cadre de cette étude, les utilisateurs d’un réseau social sont liés à trois types entités : les offres d’emploi qui leur sont pertinentes, les autres utilisateurs du réseau social auxquels ils se sont liés d’amitié et les données personnelles qu’ils ont publiées sur leurs profils. Les profils des utilisateurs des réseaux sociaux et la description de nos offres d’emploi sont constitués de plusieurs champs contenant des informations textuelles. / We are entering a new era of data mining in which the main challenge is the storing andprocessing of massive data : this is leading to a new promising research and industry field called Big data. Data are currently a new raw material coveted by businesses of all sizes and all sectors. They allow organizations to analyze, understand, model and explain phenomen a such as the behavior of their users or customers. Some companies like Google, Facebook,LinkedIn and Twitter are using user data to determine their preferences in order to make targeted advertisements to increase their revenues.This thesis has been carried out in collaboration between the laboratory L2TI andWork4, a French-American startup that offers Facebook recruitment solutions. Its main objective was the development of systems recommending relevant jobs to social network users ; the developed systems have been used to advertise job positions on social networks. After studying the literature about recommender systems, information retrieval, data mining and machine learning, we modeled social users using data they posted on their profiles, those of their social relationships together with the bag-of-words and ontology-based models. We measure the interests of users for jobs using both heuristics and models based on machine learning. The development of efficient job recommender systems involved to tackle the problem of categorization and summarization of user profiles and job descriptions. After developing job recommender systems on social networks, we developed a set of systems called Work4 Oracle that predict the audience (number of clicks) of job advertisements posted on Facebook, LinkedIn or Twitter. The analysis of the results of Work4 Oracle allows us to find and quantify factors impacting the popularity of job ads posted on social networks, these results have been compared to those of the literature of Human Resource Management. All our proposed systems deal with privacy preservation by only using the data that social network users explicitly allowed to access to ; they also deal with noisy and missing data of social network users and have been validated on real-world data provided by Work4.

The Master's thesis is focused on status and role of social networks in the life of the Czech Net generation (known also as Generation Y). The members of this generation are almost one quarter of the whole population of the Czech Republic nowaday. Based on many theories these representatives are different in several specific aspects from previous generations. Methodological background of this thesis is a qualitative approach through interviews of semi- structured questionnaire survey with ten members of the Czech Generation Y. The research will also present a short experiment with members of the foreign Generation Y for comparison of the results. You can find also structured questionnaire at the end of the survey, which is intended for subsequent validation of the theory for the future research in quantitative way for generalization to the whole Czech Generation Y.

Thesis describes level of current use of internet within Advanced Search Technology and suggests further possibilities of internet tools involvement into the company business processes. Main target of the thesis is to monitor processes of current business model, to identify the tools used in them and define role of the tools for particular process. Thesis further analyses the use of these tools regarding current trends, company competitors and the data observed by questionaire sent to employees, candidates and competitors of Advanced Search Technology. Minor target is to find an innovative use of new tools or identify potential of use of the currently used tools. The thesis contains a proposal for networking platform within online communities Facebook and LinkedIn.