Submitted by Elba Lopes (elba.lopes@fecap.br) on 2017-09-20T14:38:48Z No. of bitstreams: 2 Simone Ferreira e Silva.pdf: 1191981 bytes, checksum: 7ad61f8339d058f729c68691353fd8b7 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-09-20T14:38:48Z (GMT). No. of bitstreams: 2 Simone Ferreira e Silva.pdf: 1191981 bytes, checksum: 7ad61f8339d058f729c68691353fd8b7 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-08-30 / The purpose of this research was to analyze the structure of the social network of the scientific production in four publications in the English language in Behavioral Finance in the period of 2011 to 2015. To achieve this purpose, bibliometric and sociometric studies were conducted based on 261 articles from the EBSCOHost data base which contained the expressions: behavior (including variations like behavior, behavioral, behavioural), limits to (of) arbitrage, cognitive biases, overconfidence, optimism, catering, market timing and prospect theory in the titles, key-words or abstracts. Afterwards, it was performed a bibliometric analysis of the most prolific and cited researchers and institutions, the social network they belong to, the indexes of density, the centrality of degree and betweeness, the centralization, closeness and structural holes. The social network analysis indexes made it possible to point Goetzmann as the author of the central positioning in the network, nevertheless there is no researchers elite in Behavioral Finance in periodicals and period studied. As for the institutions, the elite does exist and is made up by actors with relevant position in the network, mainly the Center of Economic Policy Research and The National Buereu of Economic Research. The results of this research may contribute to the development of the scientific production in Behavioral Finance both national and international, and benefit all who direct or indirectly are related to this field, either academic or professional. / Esta pesquisa teve como objetivo analisar a estrutura da rede social formada pela produ????o cient??fica em quatro publica????es em l??ngua inglesa na ??rea de Finan??as Comportamentais no per??odo de 2011 a 2015. Para atingi-lo, foi realizado um estudo bibliom??trico e sociom??trico com 261 artigos da base de dados EBSCOHost que continham as express??es: behavior (incluindo varia????es como behaviour, behavioral, behavioural), limits to (of) arbitrage, cognitive biases, overconfidence, optimism, catering, market timing e prospect theory em seus t??tulos, palavras-chave ou resumos. Posteriormente, procedeu-se ?? an??lise bibliom??trica de pesquisadores e institui????es mais prol??ficos e citados, das redes sociais por eles formadas e dos ??ndices de densidade, centralidade de grau e de intermedia????o, centraliza????o, proximidade e lacunas estruturais. Os ??ndices da an??lise de redes sociais permitiram apontar Goetzmann como autor de posicionamento central na rede, por??m n??o existe uma elite de pesquisadores em Finan??as Comportamentais nos peri??dicos e per??odo delimitado. J?? quanto ??s institui????es, a elite existe e ?? formada por atores com posi????o relevante na rede, principalmente o Centre of Economic Policy Research e a The National Bureau of Economic Research. Os resultados desta pesquisa poder??o contribuir para o desenvolvimento da ??rea da produ????o cient??fica em Finan??as Comportamentais nacional e internacional, al??m de beneficiar todos que, direta ou indiretamente, relacionam-se com esse campo, nos ??mbitos tanto acad??mico quanto profissional.

University of Macau / Faculty of Social Sciences and Humanities / Department of Communication

Submitted by Noeme Timbo (noeme.timbo@metodista.br) on 2017-06-30T15:31:03Z No. of bitstreams: 1 Viviani Garcia.pdf: 1585821 bytes, checksum: 11d243a99cd6678be344644a7d2864a7 (MD5) / Made available in DSpace on 2017-06-30T15:31:03Z (GMT). No. of bitstreams: 1 Viviani Garcia.pdf: 1585821 bytes, checksum: 11d243a99cd6678be344644a7d2864a7 (MD5) Previous issue date: 2017-04-13 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / This study aims to contribute to the understanding of the main elements that facilitate the formation of the informal social information network within a university and which characteristics of its members are considered to be the most potential disseminators in the informal structure. Faced with the management challenges that are increasingly present in the administration of educational institutions, in order to understand their resources and use them more effectively, it is possible to understand the social dynamics of their employees using the Network Analysis method Social Security (ARS). Personal and professional characteristics attract connections in the network and what influence of the relationship in other external institutions on the relationships within the organization researched. For this purpose, a study of perception of information sharing was applied in 28 teachers of distance learning of a private higher education institution located in the state of São Paulo in order to understand the information-seeking relations and the reasons why the most influential actors are sought. The research was initiated with a questionnaire asking each respondent to point out their co-workers who are most in demand and the reasons that directed them to those determined actors. With this material, it was possible to analyze if the most cited had a relation of "strong ties" with their colleagues mentioned and characteristics of the profile of the most requested professionals. The results showed a medium density network with potential for expansion of relations. The most mentioned item was the search for information through friendship relations, followed by work necessity. More than 65% of the actors do not have external contact with their work colleagues, limiting their interactions only in the professional environment. Interaction bonds were strengthened in the study group, since the measurement of reciprocity of the contacts was over 31% of the total of the relationships, as the respondents state that they have frequent, long term and near intimate contacts. / Este estudo pretende contribuir para a compreensão dos principais elementos que facilitam a formação da rede social informal de informação dentro de uma universidade e quais as características de seus membros que são considerados os disseminadores de maior potencial na estrutura informal. Diante dos desafios de gestão cada vez mais presentes na administração de instituições de ensino, com o objetivo de compreender seus recursos e utilizá-los de maneira mais eficaz, surge a possibilidade de compreender a dinâmica social de seus colaboradores utilizando o método de Análise de Redes Sociais (ARS). Compreendendo quais características pessoais e profissionais atraem conexões na rede e qual a influência do relacionamento em outras instituições externas sobre as relações dentro da organização pesquisada. Com este intuito, foi aplicado um estudo de percepção de compartilhamento de informações em 28 professores do ensino a distância de uma instituição de ensino superior privada, localizada no ABC paulista, para compreender as relações de busca de informações e quais os motivos pelos quais os atores mais influentes são procurados. A pesquisa foi iniciada com um questionário solicitando para cada respondente apontar seus colegas de trabalho que são mais procurados e quais os motivos que os direcionavam para aqueles determinados atores. Com este material, foi possível analisar se os mais citados tinham uma relação de “laços fortes” com seus colegas citados e características do perfil dos profissionais mais requisitados. Os resultados mostraram uma rede com média densidade, com potencial de expansão de relações. O item mais mencionado foi a busca por informações por relações de amizade, seguida por necessidade do trabalho. Mais de 65% dos atores não possuem contato externo com seus colegas de trabalho, limitando suas interações apenas no ambiente profissional. Os laços de interação se demonstraram fortalecidos no grupo estudado, pois a mensuração da reciprocidade dos contatos foi acima de 31% do total das relações, assim como os respondentes declaram ter contatos frequentes, de longo prazo e com grau próximo de intimidade.

Submitted in fulfilment of the requirements of the Degree of Master of Technology: Marketing, Durban University of Technology, 2017. / Social networking is the use of dedicated websites and applications to interact with other users sharing interests, activities, backgrounds or real life events. The use of social media has been predominantly reported among young adults, accounting for about 93% of all users. Social networking websites such as Facebook, Twitter and Skype are member based Internet communities that permit users to share views, perceptions and ideologies. Social media influences youth development, most especially among the millennials who invest approximately seven hours per day with media. More so, the social media shapes the millennials perception, ideology and principles. Bearing this in mind, this tool can serve as an effective tool for bringing both social awareness among youths and the society at large. Therefore, this study sought to determine how Facebook can be used as an effective social awareness tool among millennials. The current study focused on Facebook as it has the highest number of subscribers globally, and also due to its wide acceptance among South African Millennials in tertiary intuitions. Questionnaires were distributed to a total of 400 undergraduate students. These included 150 students from the Durban University of Technology, 125 from the Mangosuthu University of Technology; and 125 from the University of KwaZulu-Natal. The study revealed that millennials are digital natives and their lives are basically lived through the internet and technology. Based on the findings the majority of millennials spend between at least two to well over six hours every day on social media. This proves that Facebook as a social network can be used to reach out and provide much needed information to millennials. / M

Rural Internet connectivity projects aimed at bridging the digital divide have mushroomed across many developing countries. Most of the projects are deployed as community centred projects. In most of the cases the initial deployment of these projects is funded by governments, multilateral institutions and non-governmental organizations. After the initial deployment, financial sustainability remains one of the greatest challenges facing these projects. In the light of this, externally funded ICT4D interventions should just be used for “bootstrapping” purposes. The communities should be “groomed” to take care of and sustain these projects, eliminating as soon as possible a dependency on external funding. This master thesis presents the design and the implementation of a generic architecture for the management of the costs associated with running a computer network connected to the Internet, The proposed system, called the Network Revenue Management System, enables a network to generate revenue, by charging users for the utilization of network resources. The novelty of the system resides in its flexibility and adaptability, which allow the exploration of both conventional and non-conventional billing options, via the use of suitable ‘adapters’. The final goal of the exploration made possible by this system is the establishment of what is regarded as equitable charging in rural, marginalized communities - such as the community in Dwesa, South Africa.

The thesis deals with theme of social networks especially from the view of companies. The thesis is divided into two main parts -- theoretical and practical. There is a necessary knowledge base of social networks and its use from perspective of a company in the theoretical part. There is also mentioned the topic of social networks analytics because it's the main theme of the practical part of the thesis. The research in the practical part analyzes the companies from Czech Republic, Germany and United States of America. The research is aimed on their behavior on Facebook and their company presentations there. There are two methods used in the practical part. One method compares the list of companies during the time period of 3 year (90 days of 2011 compared to 90 days of 2014). The other one compares the list of companies from geographical point of view. The goal of the practical part of the thesis if evaluation of pre-defined hypotheses.

This project examined the need for continuing education for teachers, particularly in the area of technology integration. It includes an exploration of the interdependence of technology and pedagogy. It developed an on-line extended community of practice to support professional educators attempting to implement Inspiration®, a commercial software application. The project presents a research-based justification for employing cognitive mapping strategies in a wide variety of pedagogical contexts, provides a dynamic list of examples demonstrating concrete applications which are connected to content and technology standards, and examines current design features for websites.

Communities of Practice regularly utilize virtual means of communication. The according software support provides its members with many sophisticated features for generating content and for communicating with each other via the internet or intranet. However, functionalities to monitor, assess, coordinate, and communicate the quality and development of the underlying electronic networks of experts are frequently missing. To meet this need of increased manageability, this contribution introduces a Social Network Intelligence software approach which aims at supporting the comprehension of the structure and value of electronic communities by automatically extracting and mining available electronic data of various types of virtual communication networks, like e-mail archives, discussion groups, or instant messaging communication. Experimental structural visualizations employing Social Network Analysis methods are combined with Keyword Extraction to move towards a Social Network Intelligence approach which generates transparency of complex virtual communication networks. Together with a comprehensive visualization method, an approach for software-supported communication network measurement and evaluation is suggested. It supports the identification of important participants, topics, or clusters in the network, evaluates the interpersonal communication structure and visually traces the evolvement of the knowledge exchange over time.

Indiana University-Purdue University Indianapolis (IUPUI) / Digital traces left by a user of an on-line social networking service can be abused by a malicious party to compromise the person’s privacy. This is exacerbated by the increasing overlap in user-bases among various services. To demonstrate the feasibility of abuse and raise public awareness of this issue, I propose an algorithm, Seed and Grow, to identify users from an anonymized social graph based solely on graph structure. The algorithm first identifies a seed sub-graph either planted by an attacker or divulged by collusion of a small group of users, and then grows the seed larger based on the attacker’s existing knowledge of the users’ social relations. This work identifies and relaxes implicit assumptions taken by previous works, eliminates arbitrary parameters, and improves identification effectiveness and accuracy. Experiment results on real-world collected datasets further corroborate my expectation and claim.

Against the theoretical background of evolutionary behavioral economics, this project analyzes bounded rationality and adaptive behaviour in organizational settings characterized by complexity and persistent uncertainty. In particular, drawing upon the standard NK model, two laboratory experiments investigate individual and collective decision-making in combinatorial problems of resource allocation featuring multiple dimensions and various levels of complexity. In the first study, investment horizons of different length are employed to induce a near or distant future temporal orientation, in order to assess the effects of complexity and time horizon on performance and search behaviour, examine the presence of a temporal midpoint heuristic, and inspect the moderating effects of deadline proximity on the performance-risk relationship. This is relevant for organizational science because the passage of time is essential to articulate many strategic practices, such as assessing progress, scheduling and coordinating task-related activities, discerning the processual dynamics of how these activities emerge, develop, and terminate, or interpreting retrospected, current, and anticipated events. A greater or lesser amount of time reflects then a greater or lesser provision of resources, thereby representing a constraint that can greatly affect the ability to maintain a competitive advantage or ensure organizational survival. In the second study, the accuracy of the imitative process is varied to induce a flawless or flawed information diffusion system and, congruently, an efficient or inefficient communication network, in order to assess the effects of complexity and parallel problem-solving on autonomous search behaviour, clarify the core drivers of imitative behaviour, control for the degree of strategic diversity under different communication networks, and evaluate individual as well as collective performance conditional to the interaction between the levels of complexity and the modalities of parallel problem-solving. This is relevant for organizational science because imitating the practices of high-performing actors is one of the key strategies employed by organizations to solve complex problems and improve their performance, thereby representing a major part of the competitive process. The project is intended to contribute grounding individual and collective behaviour in a more psychologically and socially informed decision-making, with a view to further the research agenda of behavioral strategy and sustain the paradigm shift towards an evolutionary-complexity approach to real economic structures.