Spelling suggestions: "subject:"1mpact off IT"" "subject:"1mpact oof IT""
1 |
The impact of computer usage on scholarly communication among academic social scientistsCosta, Sely Maria de Souza January 1999 (has links)
The study aims to see whether there are differences in the nature and patterns of computer usage for communicating research between disciplines in the social sciences in Brazil and, if so, whether they can be related to factors which can affect the process of communication. The theory embedded in the research model states that pressures that accompany the introduction of information technologies into a university environment are significant factors in the use of such technologies. These pressures produce differences in the communication process itself. Furthermore, there may also be a relationship between individual factors and the use of IT for communication. The research data were collected via a survey using two instruments. Firstly, mailed questionnaires were sent to 760 academic researchers in sociology and economics in Brazil, working in post-graduate programmes. A response rate of 64.1 percent was achieved. Secondly, 36 interviews were carried out with a sample of the most productive researchers in the two subjects studied. The interview sample included both respondents and non-respondents to the questionnaire. A small sample of 1I British academic researchers was included in the interview survey, in order to allow comparisons and see whether Brazilian academics lag behind IT front-runners. Data collected revealed that there is an impact of computer usage on the scholarly communication process, especially in terms of informal communication. Such an impact can be related to changes in the social interactions that underlie knowledge creation among researchers, and also relates to differences in patterns and processes of computer usage between the chosen disciplines. Formal communication has experienced a gradually growing impact by electronic media on the well-established print environment, with the likely co-existence of the two media for some time to come. The results obtained showed that Brazilian researchers do not lag behind the British ones. Not many differences, but most similarities were found between economists and sociologists in both Brazil and the UK.
|
2 |
The impact of computer usage on scholarly communication amongst academic social scientistsCosta, Sely Maria de Souza 10 1900 (has links)
Tese (doutorado)—Loughborough University, 1999. / Submitted by Guimaraes Jacqueline (jacqueline.guimaraes@bce.unb.br) on 2009-10-22T14:59:00Z
No. of bitstreams: 1
Tese_SelyMariadeSouzaCosta.pdf: 1263100 bytes, checksum: 030a67910c2dbe90f6ae360eba125829 (MD5) / Approved for entry into archive by Luanna Maia(luanna@bce.unb.br) on 2009-10-22T15:21:43Z (GMT) No. of bitstreams: 1
Tese_SelyMariadeSouzaCosta.pdf: 1263100 bytes, checksum: 030a67910c2dbe90f6ae360eba125829 (MD5) / Made available in DSpace on 2009-10-22T15:21:43Z (GMT). No. of bitstreams: 1
Tese_SelyMariadeSouzaCosta.pdf: 1263100 bytes, checksum: 030a67910c2dbe90f6ae360eba125829 (MD5)
Previous issue date: 1999-10 / Made available in DSpace on 2010-09-09T14:33:18Z (GMT). No. of bitstreams: 6
Tese_SelyMariadeSouzaCosta.pdf.txt: 662926 bytes, checksum: 03ac46f80ff56f6ab89e0a860de831e2 (MD5)
Tese_SelyMariadeSouzaCosta.pdf: 984432 bytes, checksum: 83a6fae82d492d57a1daa0845c6cefc4 (MD5)
license.txt: 1872 bytes, checksum: 9f7b0e47c2591724e28208a5d26b99e1 (MD5)
license_rdf: 12170 bytes, checksum: 28c18d8d50ea5f68c8c3d89546d38e8d (MD5)
license_text: 18994 bytes, checksum: d9d7893cee740d89f0fa03cf8c1b2169 (MD5)
license_url: 49 bytes, checksum: fd26723f8d7edacdb29e3f03465c3b03 (MD5)
Previous issue date: 1999-10 / The study aims to see whether there are differences in the nature and patterns of computer usage for communicating research between disciplines in the social sciences in Brazil and, if so, whether they can be related to factors which can affect the process of communication. The theory embedded in the research model states that pressures that accompany the introduction of information technologies into a university environment are significant factors in the use of such technologies. These pressures produce differences in the communication process itself. Furthermore, there may also be a relationship between individual factors and the use of IT for communication. The research data were collected via a survey using two instruments. Firstly, mailed questionnaires were sent to 760 academic researchers in sociology and economics in Brazil, working in post-graduate programmes. A response rate of 64.1 percent was achieved. Secondly, 36 interviews were carried out with a sample of the most productive researchers in the two subjects studied. The interview sample included both respondents and non-respondents to the questionnaire. A small sample of 11 British academic researchers was included in the interview survey, in order to allow comparisons and see whether Brazilian academics lag behind IT front-runners. Data collected revealed that there is an impact of computer usage on the scholarly communication process, especially in terms of informal communication. Such an impact can be related to changes in the social interactions that underlie knowledge creation among researchers, and also relates to differences in patterns and processes of computer usage between the chosen disciplines. Formal communication has experienced a gradually growing impact by electronic media on the well-established print environment, with the likely co-existence of the two media for some time to come. The results obtained showed that Brazilian researchers do not lag behind the British ones. Not many differences, but most similarities were found between economists and sociologists in both Brazil and the UK.
|
3 |
Impacto dos investimentos em tecnologia de informação no desempenho financeiro das indústrias brasileirasLongo, Luci 16 January 2014 (has links)
Submitted by LUCI LONGO (luci.longo@gvmail.br) on 2014-01-27T18:56:56Z
No. of bitstreams: 1
TESE-2014-Luci Longo.pdf: 4266328 bytes, checksum: b7560e7b65474586eb06e6b91f5bec08 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2014-01-27T19:18:51Z (GMT) No. of bitstreams: 1
TESE-2014-Luci Longo.pdf: 4266328 bytes, checksum: b7560e7b65474586eb06e6b91f5bec08 (MD5) / Made available in DSpace on 2014-01-27T19:22:35Z (GMT). No. of bitstreams: 1
TESE-2014-Luci Longo.pdf: 4266328 bytes, checksum: b7560e7b65474586eb06e6b91f5bec08 (MD5)
Previous issue date: 2014-01-16 / The results obtained enable us to state that the industries that most invested in Information Technology (IT) in the period of 2001-2011 had higher growth in their operating revenue and more effective operating results, compared with industries that invested less in the same period. According to the proposed model for the companies studied, an increase of 7% was found within two years in operating profit for every 1% in IT investments. Noteworthy is the purpose of the research to identify and analyze the impacts of expenditures and investments in information technology on the financial performance of Brazilian industries, and for that, I used a research model that used accounting-financial metrics and indicators of IT use as well as the combination of statistical analysis techniques. Moreover, the investigation deepens and broadens the discussion on the evaluation of IT investments and how to measure its impact on the organizational performance. The study population was composed of Brazilian companies, which were publicly traded, from the industrial sector, with active stocks at BOVESPA, totaling 119 companies. Through a survey, additional data were obtained related to expenditures and investments in IT, the semi-structured questionnaires were sent directly to the Chief Information Officer (CIO). These efforts in collecting primary data, gave the possibility of obtaining a fairly significant sample, with 63 industries, namely 53% of the population. After collection, the data analysis was developed through three steps: (1) Factor Analysis (FA) for selection of performance factors, which at the end of the process resulted in twelve variables for the research model, (2) Cluster Analysis (CA) that showed three distinct groupings of companies for their features and performance, and (3) Multiple Regression Model which adopted the Generalized Method of Moments (GMM), a dynamic econometric model, satisfying the requirements of the Arellano-Bond (1991) model. It is noted that the proposed model could address in a methodologically proper way the spurious correlations and allowing the identification of ‘the lag effect', in other words, IT investments in two previous periods, (IGTIt-2) impacted in current Operating Income (ROPt). Furthermore, it was found that other variables of profitability and liquidity impacted in this result, also adopting lag variables. The main variable of IT research, IGTI is calculated through the sum of expenditures and annual IT investments (OPEX/CAPEX), divided by the annual net Operating Revenue. For future research, there is the possibility of seeking evaluation measures by types (categories) of IT investment, aiming at deepening the analysis of performance impacts by sector (in each investment) and the cluster analysis, making use of the analysis model of this research. / Os resultados obtidos possibilitam afirmar que as indústrias que mais investiram em Tecnologia de Informação (TI), no período de 2001 a 2011, obtiveram maior crescimento da sua receita operacional e resultados operacionais mais eficazes, comparadas com as indústrias que investiram menos no período. De acordo com o modelo proposto, para as empresas estudadas foi possível encontrar, no prazo de dois anos, um crescimento de 7% no resultado operacional para cada 1% a mais de investimentos em TI. Destaca-se o objetivo da pesquisa de identificar e analisar os impactos dos gastos e investimentos em tecnologia de informação no desempenho financeiro das indústrias brasileiras, para alcançá-lo, adotou-se um modelo de pesquisa que utilizou métricas contábeis-financeiras e indicadores de uso TI, bem como a combinação de técnicas estatísticas para as análises. O trabalho aprofunda e amplia as discussões existentes sobre a avaliação dos investimentos em TI e como aferir o impacto desta sobre o desempenho organizacional. O universo do estudo foi composto pelas companhias brasileiras, de capital aberto, do ramo industrial, com ações ativas na BOVESPA, totalizando 119 companhias. Por meio de uma survey obteve-se os dados complementares referentes aos gastos e investimentos em TI; os questionários semiestruturados foram encaminhados diretamente ao Gerente de TI (Chief Information Officer). Estes esforços na coleta de dados primários possibilitaram a obtenção de uma amostra bastante significativa, com 63 indústrias, ou seja, 53% da população estudada. Após coleta, a análise dos dados foi desenvolvida em três etapas: (1) Análise Fatorial (AF) para seleção de fatores de desempenho que resultou no final do processo em doze variáveis para o modelo da pesquisa; (2) Análise de Cluster (AC) que evidenciou três agrupamentos distintos de indústrias por suas características e desempenho e (3) Regressão Múltipla que adotou um modelo econométrico dinâmico, estimado pelo Método dos Momentos Generalizado (GMM), satisfazendo as condições do modelo de Arellano-Bond (1991). Salienta-se que o modelo proposto permitiu tratar de forma adequada metodologicamente as correlações espúrias, possibilitando identificar que os gastos e investimentos em TI, (IGTI t-2), de dois períodos anteriores impactaram no Resultado Operacional Atual, (ROPt), evidenciando o efeito tardio, ou lag effect. Além disso, foi constatado que outras variáveis de rentabilidade e liquidez impactam neste resultado, também adotando defasagem das variáveis. A principal variável de TI da pesquisa, o IGTI, é calculada pela soma de gastos e investimentos em TI anuais (OPEX/CAPEX), dividida pela Receita Operacional Líquida anual. Para pesquisas futuras, há a possibilidade de buscar medidas de avaliação por tipos (categorias) de investimento em TI, visando ao aprofundamento da análise destes impactos no desempenho setorizado (ligado a cada investimento) e da análise de clusters, adotando o modelo de análise da pesquisa.
|
Page generated in 0.0598 seconds