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Organizational network management — new quality in strategic management of research-development units


Market organizations apply multi-channel communication with clients, analyse and use signals from their clients to support development of products and services. Leading companies manage relations with employees in a similar way. This is particularly beneficial in organizations employing knowledge-workers. Employees, carrying out their tasks, as a result of interaction with clients and internal limitations, along with formal organizational structure spontaneously create a "fast reaction" network. Thanks to the analysis of the network of internal relations and visualization of data in online platforms organizations can investigate the methods of work and cooperation of teams and employees' behaviours. Organizational Network Analysis (ONA) is a new field, which provides strategic knowledge - about cooperation in an organization, the role of its units and particular employees, allocation of resources, relational potential and barriers for development. Online visualization of the network of relations accesssible for employees allows them to learn about the organization and better carry out their tasks, providing them with information about people with similar knowledge, or knowledge necessary for the employees, about cooperation of people and teams, flow of information and decisions. The analysis of organizational networks serves the purpose of diagnosing an organization and conducting continuous HR processes, e.g. codification of knowledge, identification of talents, organization of trainings and development, it delivers data for the decision-making process and communication and knowledge management. Using the example of the Polish participatory platform "Mapa organizacji" (Organization map) the author shows how to collect and use analytical data for the purpose of managing talents of an organization in an optimum way. Thanks to the visualization of this data, in a network you can highlight employees with various profiles e.g. sources of field knowledge, organizational and project talents, brokers of information, opinion leaders, or e.g. various styles of functioning of managers. Observing and measuring cooperation within teams and between them it is possible to plan and monitor the effects of activities facilitating communication and to efficiently manage knowledge and change e.g. by locating and breaking down silos. The application allows business owners and HR teams to manage talent the processes of "soft HR" with the use of analytical data, among others: induction of new employees, internal mobility and succession, identifying employees who could potentially drop out, internal trainers and mentors, developing cooperation where it's missing and reducing its excess, building communities of practice and project teams.

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A Few Insights Into Romanian Information Systems Analysts and Designers Toolbox


Information Systems (IS) analysts and designers have been key members in software development teams. From waterfall to Rational Unified Process, from UML to agile development, IS modelers have faced many trends and buzzwords. Even if the topic of models and modeling tools in software development is important, there are no many detailed studies to identify for what the developers, customers and managers decide to use the modeling and specific tools. Despite the popularity of the subject, studies showing what tools the IS modelers prefer are scarce, and quasi-non-existent, when talking about Romanian market. As Romania is an important IT outsourcing market, this paper investigated what methods and tools Romanian IS analysts and designers apply. In this context, the starting question of our research focuses on the preference of the developers to choose between agile or non-agile methods in IT projects. As a result, the research questions targeted the main drivers in choosing specific methods and tools for IT projects deployed in Romanian companies. Also, one of the main objectives of this paper was to approach the relationship between the methodologies (agile or non-agile), diagrams and other tools (we refer in our study to the CASE features) with other variables/metrics of the system/software development project. The observational study was conducted based on a survey filled by IS modelers in Romanian IT companies. The data collected were processed and analyzed using Exploratory Data Analysis. The platform for data visualization and analysis was R.

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Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice

curation Organization type ● Metadata ● Academic versus non-academic ● Protocol documentation Level of preparedness ● Data sharing and dissemination ● Prepared versus unprepared ● Data preservation Role development ● Data visualization ● Five-point scale development level from not developed to very developed RDM tools ● Electronic lab notebooks ● Data citation manager ● DR ● Data search engine ● Data processing software (R, Python, etc.) ● Preprints Challenges

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Support Management Decisions in Small and Medium Companies

References 1. Airinei, D., Homocianu, D., Data Visualization in Business Intelligence, in Proceedings of The WSEAS MCBEC 2010-Recent Advances in Mathematics and Computers in Business, Economics, Biology& Chemistry, International Conference, Iași, România,, 2010, 164-167; 2. Druzdzel, M. J. et al, Decision Support Systems, Allen Kent (ed.), Marcel Dekker Inc., New York, 2002, 6-12. 3. Dospinescu, O., Applications Development in Visual Basic .Net, Polirom, Iasi, 2004, 60

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Regional Co-Operation and Economic Prosperity in South Asia: Challenges of Unfair Trade and Transboundary Deadlock


Subject and purpose of work: The study attempts to examine the trade unfairness and transboundary bottlenecks between Bangladesh and India with a view to prosper a balanced trade and sustained water cooperation.

Materials and methods: The study is based on secondary data and statistical information. Mixed research methods such as qualitative, quantitative and data visualization techniques are adopted in this study to assess the political economy of river basin management, loss and damage assessment and trade situation assessment.

Results: Due to upstream intervention, the North-Western region of Bangladesh has lost 4254218 metric tons of rice production during 2006-2014 cropping years which value is $1036 million. During the same period, the trade deficit of Bangladesh stood at $5.58 billion with India due to the diverse tariff and non-tariff barriers which triggers tension between this close neighbor.

Conclusions: The trade and water co-operation should be extended among the South Asian countries including India and Bangladesh without delay to obtain the maximum benefit and economic prosperity.

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Visualization of Categorical Data Using Extracat Package in R

and Statistics , Proceedings of the 13 th Symposium on the Interface, 268-273, Springer-Verlag, New York. Inselberg A. 2009, Parallel Coordinates, Springer-Verlag, New York. Kosara R., Bendix F., Hauser H., 2005, Parallel sets: Interactive exploration and visual analysis of categorical data , Visualization and Computer Graphics, IEEE Transactions, 12 (4), pp. 558-568. Meyer D., Zeileis A., Hornik K., 2006, The strucplot framework: visualizing multi-way contingency tables with vcd , Journal of Statistical Software, 17(3), pp. 1

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Territorial Division and Income Affluence – Analysis Using Two-Level Logit Models

of Epidemiology, vol. 161, no. 1, pp. 81-88. Larsen K., Petersen J.H., Budtz-Jorgensen E., Endahl L., 2000, Interpreting parameters in the logistic regression model with random effects , Biometrics, vol. 56, no. 3, pp. 909-914. Lüdecke D., 2018a, Sjmisc: Miscellaneous data management tools , R package version 2.7.0, . Lüdecke D., 2018b, SjPlot: Data visualization for statistics in social science , R package version 2.4.1, . Moineddin R., Matheson F

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Implementation of a Linked Data-Based Genealogy Knowledge Service Platform for Digital Humanities

RDF data conversion, RDF data storage and querying, and data visualization has matured, which can meet the requirements of bibliographic control and authority control, data reuse and sharing, and knowledge organization and discovery in Web environment. There is a technical framework that supports knowledge reorganization and provides knowledge service – not just document retrieval and reading, thus fulfilling the requirements of DH ( Figure 1 ). The framework is based on other existing frameworks, models, standards, and tools and was built using the following

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Structural Analysis of Medical-Terminology Hashtag versus Lay-Language Hashtag Tweet Collections: An Information Theoretical Method with Entropy Matrix

medical-terminology hashtag and lay-language hashtag was very low in all the samples. This indicates that most users tend to reduce the redundancy in hashtag usage by avoiding hashtags with similar or identical semantic meanings. 4.1 Data Analysis with Visualizations: Radar Graph and Scatterplot This study employs radar graph and scatterplot as data visualization aids to get an intuitive demonstration. These visualize the complexity in the structure of a tweet-sample and reveal the pattern of the characteristics of each individual tweet in the sample. To compare

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Fourth industrial revolution: a way forward to attain better performance in the textile industry

: market orientation and service firm performance – a research agenda. European Journal of Marketing 36(9/10), 980-989. 10.1108/03090560210437280 Gray B. J. & Hooley G. J. 2002 Guest editorial: market orientation and service firm performance – a research agenda European Journal of Marketing 36 9/10 980 – 989 Gürdür, D., El-Khoury, J., Seceleanu, T., & Lednicki, L. (2016). Making interoperability visible: Data visualization of cyber-physical systems development tool chains. Journal of Industrial Information Integration 4, 26-34. 10.1016/j

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