Publisher: RTU Press (Total: 2 journals)   [Sort by number of followers]

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Information Technology and Management Science     Open Access   (Followers: 2)
Transport and Aerospace Engineering     Open Access   (Followers: 13)
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Information Technology and Management Science
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2255-9094
Published by RTU Press Homepage  [2 journals]
  • Comparative Study of Chronic Kidney Disease Predictor Performance Given
           Insufficient Training Dataset

    • Authors: Oluwadamilare Alabi
      Pages: 1 - 7
      Abstract: This study compares the performance of Logistic Regression and Classification and Regression Tree model implementations in predicting chronic kidney disease outcomes from predictor variables, given insufficient training data. Imputation of missing data was performed using a technique based on k-nearest neighbours. The dataset was arbitrarily split into 10 % training set and 90 % test set to simulate a dearth of training data. Accuracy was mainly considered for the quantitative performance assessment together with ROC curves, area under the ROC curve values and confusion matrix pairs. Validation of the results was done using a shuffled 5-fold cross-validation procedure. Logistic regression produced an average accuracy of about 99 % compared to about 97 % the decision tree produced.
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0001
      Issue No: Vol. 25, No. 1 (2022)
       
  • Property Management – An Industry of Fragmented Technology Solutions

    • Authors: Richard Bassett, Mark Pisano
      Pages: 8 - 15
      Abstract: Successful property management, which can be done by individual owners or by professional property managers, has numerous interrelated complex business processes: tenant attraction, screening, leasing, tenant move-in, property maintenance, retention/lease renewals, tenant move-out, and reputation management. Property managers must be highly skilled communicators and thoroughly understand the legal implications of housing and contract law in their operating environments. The lack of affordable solutions available to small and mid-sized property managers drives their use of fragmented technology solutions provided by numerous technology vendors that employ redundant data-gathering methods, putting them at a competitive disadvantage. This research paper explores the information systems needs of property managers in contrast to the solutions available to them in the marketplace.
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0002
      Issue No: Vol. 25, No. 1 (2022)
       
  • Hybrid Classification Model for Biomedical Data Analysis

    • Authors: Natalia Novoselova, Igor Tom
      Pages: 16 - 23
      Abstract: The paper describes a method for constructing a hybrid classification model that allows combining several sources of biological information in order to build a classifier to identify subtypes of complex diseases. The distinctive feature of the method is its adaptive nature, i.e. the ability to build efficient classifiers regardless of data types, as well as a multi-criteria approach to evaluate the effectiveness of a classification. The testing results on real biomedical data showed the advantages of the proposed hybrid model in comparison with individual classifiers. 
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0003
      Issue No: Vol. 25, No. 1 (2022)
       
  • Governmental Support Options for the Technology Transfer of Deep Tech
           Innovations

    • Authors: Günther Schuh, Tim Latz, Jana Lorenz
      Pages: 24 - 36
      Abstract: In recent years, systemic and society-changing technological innovations (Deep Tech or DT innovations) have emerged primarily in the USA and Asia, while Europe is technologically dependent in many application fields. The development of DT is characterised by high financial capital needs. Additionally, intellectual property (IP) management plays a major role. To reduce the technological dependency for many areas in Europe, an adjustment of the government’s role as an actor in the innovation system appears beneficial. Targeted measures can improve the development and transfer of DT and, thus, contribute to securing long-term competitiveness of European nations. The aim of this contribution is therefore to identify support options within the technology transfer of DT innovations by conducting a structured literature analysis. In total, 27 applicable options are identified and structured into derived fields of action within innovation systems.
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0004
      Issue No: Vol. 25, No. 1 (2022)
       
  • Characteristics for Collaboration Types between Corporates and Startups

    • Authors: Günther Schuh, Bastian Studerus, Nikolaus Schmidt
      Pages: 37 - 48
      Abstract: Established manufacturing corporates are facing major challenges today, as more and more technology-based startups are disrupting existing market competitors and are striving to gain foothold in new markets. Therefore, it can be observed that corporates and startups are increasingly seeking collaborations in order to gain advantageous access to resources, markets or even technologies from the respective partner. However, the majority of these collaborations fail for two reasons: first, the opportunistic choice of a collaboration type and, second, a poor suitability of established types of collaboration for technology-based startups. Consequently, the solution developed in this paper aims at addressing these problems by initially deriving a suitable collaboration framework based on strategic success potentials. Starting from identified requirements, a characteristic space for types of collaboration is determined. Based on this investigation, the paper shows which of the newly determined characteristics help fulfil strategically relevant success potentials of collaboration and, thus, enable a well-founded typification of collaboration types.
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0005
      Issue No: Vol. 25, No. 1 (2022)
       
  • Probability Weighting in Decision-Making Tasks under Risk

    • Authors: Oleg Uzhga-Rebrov, Galina Kuleshova
      Pages: 49 - 54
      Abstract: The analysis of alternative decisions and the choice of the optimal – in a given sense – decision is an integral part of people’s purposeful activity in all areas of their social life. Many formal approaches have been proposed to solve these problems. One such approach is expected utility theory, which correctly models individuals’ subjective preferences and attitudes to risk. For a very long time this theory was the leading approach for decision making under conditions of risk. However, numerous practical studies have shown its weakness: the theory did not explicitly use subjective perceptions of decision outcome probabilities in optimal decision-making processes. This research has led to the creation and development of approaches to explicitly consider the probabilities of outcomes in decision making. This paper provides a critical analysis of the descriptive properties of expected utility theory and presents various forms of probability weighting functions.
      PubDate: 2022-12-09
      DOI: 10.7250/itms-2022-0006
      Issue No: Vol. 25, No. 1 (2022)
       
 
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