This case study of the information flows within a British biotechnology company involved a population of 156 and took place over five years. It included information provision and information management as embedded studies. The main investigation into information flows was done in three parts, using questionnaires. The parts were: Use of Information Centre information resources, company-wide information flows and assessment of the perceived effectiveness of existing information flows. Combined, these three parts represent a 'snapshot' of the flows over a timespan of about three months. The methodology used to present the individual information flows is novel. The results showed that inter-personal communication or information flows were good, with e-mail being extensively used; that most inter-Group flows were functional, but that flows through the company were poor. Information flow out of the company was restricted. The main barriers to effective flows were excessive secrecy which prevented open exchange of information, lack of finance and the split sites. Although these were only a few miles from the main building, the staff felt isolated. The results further show that the most used information resources were colleagues, and that the most used non-human information resources were not held in the IC. The main users of the IC were the R&D staff, while more than 50% of the company rarely or never used the facility. The investigation represents an early example of Knowledge Management and further documents a stage in the evolution of biotechnology companies.

The study investigates knowledge management (KM) practices in the public sector in Botswana. The underlying premise is that good KM leads to efficiency and effectiveness. The study assesses the KM practices in the government departments by means of a questionnaire survey of senior managers. The assumption is that the corporate manager/directors will know what knowledge is there, how knowledge is created, shared and flow in the organization. The main question of this study is whether the Botswana public sector is practicing KM. The study explores the problem and questions by means of a questionnaire survey amongst 43 departmental directors of the Government of Botswana. The overall finding is that information management rather than KM is being practiced. The respondents, senior public service managers, certainly recognize the value of and the need for KM. But, they themselves identify certain weaknesses, such as lack of knowledge of KM among their staff, weak communication inside and across the departments, lack of policy and lack of good KM systems.

<p>The study investigates knowledge management (KM) practices in the public sector in Botswana. The underlying premise is that good KM leads to efficiency and effectiveness. The study assesses the KM practices in the government departments by means of a questionnaire survey of senior managers. The assumption is that the corporate manager/directors will know what knowledge is there, how knowledge is created, shared and flow in the organization. The main question of this study is whether the Botswana public sector is practicing KM. Related questions are:&nbsp / What are the views of public service managers/ directors on the benefits that can be reaped from KM practices?&nbsp / What evidence is there that the public service has a culture of sharing information and knowledge? And how are staff members encouraged to internalize and use new knowledge? How are creativity and new ideas encouraged?&nbsp / Are there appropriate technological resources to facilitate effective KM, for example central knowledge repositories and social networking?The study explores the problem and questions by means of a questionnaire survey amongst 43 departmental directors of the Government of Botswana. The overall finding is that information management rather than KM is being practiced. The respondents, senior public service managers, certainly recognize the value of and the need for KM. But, they themselves identify certain weaknesses, such as lack of knowledge of KM among their staff, weak communication inside and across the departments, lack of policy and lack of good KM systems.<br /> .</p>

The study investigates knowledge management (KM) practices in the public sector in Botswana. The underlying premise is that good KM leads to efficiency and effectiveness. The study assesses the KM practices in the government departments by means of a questionnaire survey of senior managers. The assumption is that the corporate manager/directors will know what knowledge is there, how knowledge is created, shared and flow in the organization. The main question of this study is whether the Botswana public sector is practicing KM. The study explores the problem and questions by means of a questionnaire survey amongst 43 departmental directors of the Government of Botswana. The overall finding is that information management rather than KM is being practiced. The respondents, senior public service managers, certainly recognize the value of and the need for KM. But, they themselves identify certain weaknesses, such as lack of knowledge of KM among their staff, weak communication inside and across the departments, lack of policy and lack of good KM systems.

<p>The study investigates knowledge management (KM) practices in the public sector in Botswana. The underlying premise is that good KM leads to efficiency and effectiveness. The study assesses the KM practices in the government departments by means of a questionnaire survey of senior managers. The assumption is that the corporate manager/directors will know what knowledge is there, how knowledge is created, shared and flow in the organization. The main question of this study is whether the Botswana public sector is practicing KM. Related questions are:&nbsp / What are the views of public service managers/ directors on the benefits that can be reaped from KM practices?&nbsp / What evidence is there that the public service has a culture of sharing information and knowledge? And how are staff members encouraged to internalize and use new knowledge? How are creativity and new ideas encouraged?&nbsp / Are there appropriate technological resources to facilitate effective KM, for example central knowledge repositories and social networking?The study explores the problem and questions by means of a questionnaire survey amongst 43 departmental directors of the Government of Botswana. The overall finding is that information management rather than KM is being practiced. The respondents, senior public service managers, certainly recognize the value of and the need for KM. But, they themselves identify certain weaknesses, such as lack of knowledge of KM among their staff, weak communication inside and across the departments, lack of policy and lack of good KM systems.<br /> .</p>

Submitted by Fernando Souza (fernando@biblioteca.ufpb.br) on 2017-10-02T13:06:39Z No. of bitstreams: 1 arquivototal.pdf: 4311205 bytes, checksum: 0550bbf26e5ff18bb1beb0224e73f91a (MD5) / Made available in DSpace on 2017-10-02T13:06:39Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 4311205 bytes, checksum: 0550bbf26e5ff18bb1beb0224e73f91a (MD5) Previous issue date: 2017-03-29 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / It is notorious the publishing market role in the book production, being this a traditional informational support to society. It is noticed that the publishing market has undergone significant changes in its production methods to add the digital publications. This research studied the national book publishing market focused on publishing companies that produce digital books, with the objective of building prospective scenarios for the digital book market in our Brazil. Integrating into its literature review, knowledge and strategic information management elements with prospective scenarios studies. For that, key variables and actors in the digital book market were identified, their respective interactions were analyzed and prospective scenarios for the digital book publishing market in Brazil were elaborated. It was characterized as bibliographic, descriptive and qualitative-quantitative research, using a questionnaire as a data collection tool. For the data analysis, this research utilized the principles and tools from Michel Godet’s Scenario Building methodology. It was evidenced that the publishing companies showed good perspectives in regard to the digital book market, however they don’t believe that in the future digital book sales will be equivalent or even surpass the printed book sales. It was found that the publishing companies are considering reformulating their publishing strategies for digital books. It indicated that the most influential variables in the publishing market are external variables: culture, economy and legislation; and that the most influential actors are also external: readers, government, school and library. Based on the bibliographic research, information collected through the questionnaire and the results generated by specific software that uses Godet’s Scenario Building Methodology for processing variables and actors, three prospective scenarios were constructed for the digital book market in Brazil: a most likely scenario, an optimistic scenario, and a pessimistic or crisis scenario as recommended in the methodology. The final result was a vision of the possible transformations that could occur in the future of this sector, promoting a prospective reflection for all the actors that are part of the digital book chain as publishers, schools, libraries, universities and readers. / É notória a função do mercado editorial quanto à produção de livros, sendo este um suporte informacional tradicional para a sociedade. Percebe-se que este mercado tem passado por mudanças significativas em suas formas de produção ao agregar o formato digital as suas publicações. Esta pesquisa estudou o mercado editorial nacional do livro com foco nas editoras que produzem livros digitais, com o objetivo de construir cenários prospectivos para o mercado de livros digitais no Brasil. Integrando em sua revisão de literatura elementos da gestão e a informação estratégica com os estudos de cenários prospectivos. Para tanto, identificou-se as variáveis-chave e os atores do mercado do livro digital, analisou suas respectivas interações e elaboraram-se os cenários prospectivos para o mercado editorial nacional do livro digital. Caracterizou-se como descritiva e bibliográfica, de abordagem qualiquanti e, como instrumento de coleta de dados, utilizou-se o questionário. Na fase de análise dos dados, utilizou como suporte os princípios e ferramentas da metodologia de cenário de Michel Godet. Evidenciou-se que as editoras apresentam boas perspectivas com relação ao mercado do livro digital, porém não acreditam que no futuro a venda do livro digital venha a se equiparar ou até mesmo superar o livro impresso. Constatou-se que as editoras cogitam reformular suas estratégias de publicação referentes ao livro digital. Indicou que as variáveis mais influentes no mercado editorial são as externas: cultura, economia e legislação e que os atores que exercem maior influência sobre este mercado também são externos: leitores, governo, escola e biblioteca. Com base nas informações obtidas por meio da pesquisa bibliográfica, do questionário e dos resultados gerados com o uso de software específicos da metodologia de cenários de Godet para o tratamento de variáveis e atores, construiu-se três cenários prospectivos para o mercado editorial nacional do livro digital, sendo estes: um cenário provável, um cenário otimista e um cenário pessimista ou de crise como recomendado pela metodologia. Apresentou-se como resultado final uma visão das possíveis transformações que poderiam vir a ocorrer no futuro deste setor, promovendo uma reflexão prospectiva para todos os atores que compõem a cadeia do livro digital, como editoras, escolas, bibliotecas, universidades e leitores.

This study examined the level of trust of information on social media. Specifically, I investigated the factors of performance expectancy with information-seeking motives that appear to influence the level of trust of information on various social network sites. This study utilized the following theoretical models: elaboration likelihood model (ELM), the uses and gratifications theory (UGT), the unified theory of acceptance and use of technology model (UTAUT), the consumption value theory (CVT), and the Stimulus-Organism-Response (SOR) Model to build a conceptual research framework for an exploratory study. The research investigated the extent to which information quality and source credibility influence the level of trust of information by visitors to the social network sites. The inductive content analysis on 189 respondents’ responses carefully addressed the proposed research questions and then further developed a comprehensive framework. The findings of this study contribute to the current research stream on information quality, fake news, and IT adoption as they relate to social media.

(in English) The subject of the Diploma thesis is the process of sharing of economic information and knowledge suitable for corporate governance. A special attention is focused on an effective utilization and development of information and communication technologies (ICT). At the beginning, information society and basic terms are defined, such as information economy, economics of information, information management and knowledge management. Furthermore, the strategic importance of enterprise information systems and other solutions for improving business information processes are described in general. The final chapters deal with Competitive Intelligence (CI) and Business Intelligence (BI) and contain the overview and analyses of the most important information products of economic information from commercial and non-commercial sectors [Author's abstract].

<p>The availability of abundant multimodal data, including textual, visual, and sensor-based information, holds the potential to improve decision-making in diverse domains. Extracting data-driven decision-making information from heterogeneous and changing datasets in real-world data-centric applications requires achieving complementary functionalities of multimodal data integration, knowledge extraction and mining, situationally-aware data recommendation to different users, and uncertainty management in the open-world setting. To achieve a system that encompasses all of these functionalities, several challenges need to be effectively addressed: (1) How to represent and analyze heterogeneous source contents and application context for multimodal data recommendation? (2) How to predict and fulfill current and future needs as new information streams in without user intervention? (3) How to integrate disconnected data sources and learn relevant information to specific mission needs? (4) How to scale from processing petabytes of data to exabytes? (5) How to deal with uncertainties in open-world that stem from changes in data sources and user requirements?</p> <p><br></p> <p>This dissertation tackles these challenges by proposing novel frameworks, learning-based data integration and retrieval models, and algorithms to empower decision-makers to extract valuable insights from diverse multimodal data sources. The contributions of this dissertation can be summarized as follows: (1) We developed SKOD, a novel multimodal knowledge querying framework that overcomes the data representation, scalability, and data completeness issues while utilizing streaming brokers and RDBMS capabilities with entity-centric semantic features as an effective representation of content and context. Additionally, as part of the framework, a novel text attribute recognition model called HART was developed, which leveraged language models and syntactic properties of large unstructured texts. (2) In the SKOD framework, we incrementally proposed three different approaches for data integration of the disconnected sources from their semantic features to build a common knowledge base with the user information need: (i) EARS: A mediator approach using schema mapping of the semantic features and SQL joins was proposed to address scalability challenges in data integration; (ii) FemmIR: A data integration approach for more susceptible and flexible applications, that utilizes neural network-based graph matching techniques to learn coordinated graph representations of the data. It introduces a novel graph creation approach from the features and a novel similarity metric among data sources; (iii) WeSJem: This approach allows zero-shot similarity matching and data discovery by using contrastive learning<br> to embed data samples and query examples in a high-dimensional space using features as a novel source of supervision instead of relevance labels. (3) Finally, to manage uncertainties in multimodal data management for open-world environments, we characterized novelties in multimodal information retrieval based on data drift. Moreover, we proposed a novelty detection and adaptation technique as an augmentation to WeSJem.<br> </p> <p>The effectiveness of the proposed frameworks, models, and algorithms was demonstrated<br> through real-world system prototypes that solved open problems requiring large-scale human<br> endeavors and computational resources. Specifically, these prototypes assisted law enforcement officers in automating investigations and finding missing persons.<br> </p>

Industrial revolutions bring dynamic change to industry through major technological advances (Freeman & Louca, 2002). People and companies must take advantage of industrial revolutions in order to reap its benefits (Bruland & Smith, 2013). Currently, the 4th industrial revolution, industry is transforming advanced manufacturing and engineering capabilities through digital transformation. Company X’s production system was investigated in the research. Detailed evaluation the production process revealed bottlenecks and inefficiency (Melton, 2005). Using the Digital Twin and Discrete Event Factory Simulation, the researcher gathered factory and production input data to simulate the process and provide a system level, holistic view of Company X’s production system to show how factory simulation enables process improvement. The National Academy of Engineering supports Discrete Event Factory Simulation as advancing Personalized Learning through its ability to meet the unique problem solving needs of engineering and manufacturing process through advanced simulation technology (National Academy of Engineering, 2018). The directed project applied two process optimization experiments to the production system through the simulation tool, 3DExperience wiht the DELMIA application from Dassualt Systemes (Dassault, 2018). The experiment resulted in a 10% improvement in production time and a 10% reduction in labor costs due to the optimization