Salesian Journal on Information Systems

2-18

Authors: LINDO, O. D.

All benefits obtained from the implementation of investments in Information and Communication Technologies (ICTs) are sources of value for the investing firm. However, it has been considered that decision makers lack a structured methodology or a well-defined framework for evaluating said investments by integrating tangible and intangible benefits. Recent studies proffer empirical evidence that decision makers focus their analysis on quantifiable economic benefits while neglecting intangible benefits. A review of the specialized literature was conducted resulting in the identification of a gap between theory and practice in the evaluation of ICT investments. Even though theorists propose evaluation methods with quantitative and qualitative approaches, decision makers tend to focus their analysis on quantifiable economic benefits and limit the estimation of intangible benefits to subjective judgments. This paper organizes and structures the teachings of the specialized literature reviewed and provides a basis for future work that may aim to contribute to the development of new methodology for estimating the intangible value impact of ICT investments, and thus reduce the identified gap.

31-38

Authors: LÊU M. O.; MORAIS, D. M. G. de, XAVIER, F., DIGIAMPIETRI, L. A.

Social bots are automated users who use social networks and messaging applications to interact with real users. These bots can be used for sharing important news such as weather information or in emergency situations. However, they can also be used for malicious purposes, such as spreading fake news. This paper presents a case study on bot penetration in electoral discussions during the second round of the 2018 Brazilian presidential elections. It was found that the number of bots participating in the electoral discussions may have exceeded 10% of the total users. The use of general user account characteristics proved to be very specic in identifying humans (it is estimated that over 97% of human users were correctly classified as humans), but bot recalls did not exceed 52.3%.

55-66

Authors: ALMEIDA, G. M. F., DIAS, E. S.

In this paper, we study the longest paths and their intersections in chordal graphs, weighted graphs, trees and complementary prism graphs. Theoretical results were obtained about the longest paths and their intersections and some factorial time algorithms in order to understand the problem and the behavior of the longest paths in the different graph types. Finally, we analyze the implementation of the algorithms and the tests made in the laboratory, showing the execution time and its performance given different graph sizes, where the reader can conclude the algorithms effciency and providing the test results for new ones. comparisons with future algorithms. This work is one of the results of a scientific initiation by the authors.