Ion Ivan

Bio: Ion Ivan is an academic researcher from Bucharest University of Economic Studies. The author has contributed to research in topics: Software & Informatics. The author has an hindex of 8, co-authored 62 publications receiving 241 citations.

Cultural heritage and modern information and communication technologies

Abstract: The paper presents an up-to-date view of entities of the cultural heritage sector and their relationships with other domains of human activity as well as the corresponding business models facilitated by modern information and communication technologies. The economic impact of the interactions established between various actors of the cultural economy landscape, such as cultural heritage institutions, digital “facilitators” and public, is described by using a cybernetic representation and a corresponding mathematical model. A particular emphasis is put on mobile technology-based approach to the cultural heritage sector and an example of a practical online virtual exhibition is provided.

Quality Analysis of Mobile Applications

Abstract: Mobile applications are defined and different types of mobile applications are identified. Characteristics of quality are defined and their indicators are constructed to measure levels. Take into account 11 parameters analysis for mobile applications, which are arranged using weights and do a detailed analysis of the system of weights. For SMSEncrypt application performance measurement is done using an aggregate indicator based on the obtained weights system.

Quality Characteristics of Collaborative Systems

Abstract: This paper describe the new concepts of collaborative systems quality evaluation. There are identified structures of collaborative systems. The paper define the quality characteristics of collaborative systems. There are proposed a metric to estimate the quality level of collaborative systems. There are performed measurements of collaborative systems quality using a specially designed software.

Using Very Large Volume Data Sets for Collaborative Systems Study

Abstract: This article presents the study requests for collaborative systems, the structure and volume of data necessary for collaborative systems analysis. The paper defines procedures for collecting and validating data. This article identifies algorithms to construct homogeneous collectivities. Calculations are carried out with very large data sets and the results are interpreted.

Collaborative Virtual Organizations in Knowledge-based Economy

Abstract: The paper establishes the content of the virtual organizations concept, insisting on their collaborative nature. Types of virtual organizations architectures are developed and there are analyzed their characteristics compared to classical organizations existing in the pre-informational economy. There are presented virtual organizations for education, production and banking, focusing on their collaborative side. Metrics are built to evaluate the performance of collaborative virtual organizations.Keywords: Collaborative System, Virtual Organization, Banking, Production, Metrics(ProQuest: ... denotes formulae omitted.)1 The virtual organizationsIn [1], virtual means the possibility that a potential effect to be achieved without actually occurs. The classical organization is a social institution that brings together people with common concerns and concepts, formed on the basis of some regulations for activities submission and for the achievement of common goals.In [2],the virtual organization is presented as a routine formation, representing groups or associations of companies that are productive and competitive. Virtual organization is characterized by a unique identity, which implies the existence of loyalty and cooperation between partners based on mutual trust.In [3], the virtual organization represent the ensemble of production companies placed in different locations, working together in a distributed environment, to achieve a common goal and between which runs deep appropriate communication processes with the help of new information technologies.In [4] it is considered that virtual organization is a geographically distributed enterprise whose members are bound by a common interest, pursue a long-term goal, communicate and coordinate their work through specific tools of information technology.Virtual organization is a collaborative system in which component organizational entities have more capabilities and have more power than individually. The working context of virtual organization is built on four elements, namely connectivity, purpose, technology and separation.Virtual organizations are collaborative systems applied in the economy, where people share resources and realize complementary activities from distinct locations, in order to achieve a common goal.It is considered that virtual organization is deemed to have together with the feature of flexibility also the interdependence feature, in the sense of cooperation between departments and authorized individuals within one unique organization.The virtual organization features that distinguish it from classical organization are:- semi-permanent structural units, geographically dispersed;- performance level based on a common understanding of the business;- continuous adaptation of organizational forms;- intensive use of information technologies.Conditions for the virtual organization existence are the followings:- infrastructure that allows interaction in informatics plan;- powerful database describing resources;- very good virtual management.There are criteria for the classification of virtual organizations, such as involvement of individuals, group membership, organization mission, the level of information technologies use [2].Based on criteria established, in the knowledge-based economy there are distinguished followings virtual organizations:O1- internal, comprising business units, consisting of autonomous groups and work teams;O2- stable, based on collaboration between internal organizations and have the purpose of acquiring non-specific competences through the main organization;O3- dynamic, involving widespread and extensive cooperation with other organizations;O4- temporary, which are extensions of internal virtual organizations and address multiple projects, developing responses to a specific market opportunity;O5- permanent, that implies the use of virtual concept in all operations performed, including tasks, virtual teams and management of organizational activities. …

Review of Designing collaborative systems. A practical guide to ethnography by A. Crabtree, Springer-Verlag, Berlin, 2003

Abstract: A Crabtree, Springer-Verlag; Berlin; 2003. 178 pp. ISBN 1-85233-718-4This is a slim, quiet, slightly academic book that somehow manages to bring some airy theoretical concepts to life, and to recom...

Usability of Mobile Applications: A Systematic Literature Study

Abstract: Since the release of the first mobile devices, the usability of on-board applications has been the concern not only of software vendors but hardware manufacturers as well. The academia community later willingly joined the discussion on usability in terms of theory and empirical measurement, having experience and knowledge in desktop settings. At first sight, such a background should guarantee a solid foundation to conduct research on software usability in a new setting. However, a preliminary study on the subject matter revealed methodological disorder in contemporary literature. As a matter of fact, a need emerged to review existing usability definitions, attributes and measures to recognize all associated aspects. In order to fill this void, we conducted a systematic literature review on usability studies indexed by the Scopus database and devoted to mobile applications. The input volume covers 790 documents from 2001 to 2018. The data analysis shows that the ISO 9241–11 usability definition has been adopted in an unchanged form and popularized as the standard by the HCI community. Secondly, in total, 75 attributes were identified and analysed. The most frequent are efficiency (70%), satisfaction (66%) and effectiveness (58%), which directly originate from the above definition. Subsequently, the less frequent are learnability (45%), memorability (23%), cognitive load (19%) and errors (17%). The last two concern simplicity (13%) and ease of use (9%). Thirdly, in the evaluation of usability, controlled observation and surveys are two major research methods applied, while eye-tracking, thinking aloud and interview are hardly used and serve as complementary to collect additional data. Moreover, usability evaluations are often confused with user experience dimensions, covering not only application quality characteristics, but also user beliefs, emotions and preferences. All these results indicate the need for further research on the usability of mobile applications, aiming to establish a consensus in the theory and practice among all interested parties.