The present paper is a component of an exploratory research project focused on discovering new ways to build, organize and consolidate organizational memory for an economic entity by means of the new a€sSemantic Weba€t technologies and also encloses some

The field of agent-based systems as part of the Artificial Intelligence domain is, now-a-days, quite popular. There are specialized technologies required for building software agents and it should be communicative, capable, autonomous and adaptive. In fact, these are the key characteristics...

This study examines post-adoption behaviors (i.e., frequency of use, routinization and infusion) and their effects on the sense of community in the domain of social network sites. In particular, this contribution formulates mediation hypotheses, which posit how frequency of use affects social...

Volumes of available digital data have been significantly expanding over the past decade. Alongside the volume, diversity and complexity of digital data have also been growing. Contemporary devices and systems are capable of generating data vastly exceeding capabilities of organizations and...

This study provides a short literature review in information systems security (ISS) approaches either technical or non-technical in nature. Although, the benefits and uses of the technical information systems security approaches are valuable, there is still a need to investigate the alternative...

We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled...

The paper presents an analysis of the actual World major challenges, which could require priority technological solutions from the information and communications technologies (ICT) field, but not exclusively from this area. The main point of the paper is to emphasize the importance, for the...

The digital-based start-up industry in Indonesia has developed, but with a high failure rate. This research aims at elaborating the relationship between business model, entrepreneurial orientation, innovation, and sustainable performance on the digital start-up companies in Indonesia. The data...

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep...

The purpose of this chapter is to provide an extensive overview of security-related problems in the context of smart cities. The impressive heterogeneity, ubiquity, miniaturization, autonomous and unpredictable behaviour of objects interconnected in Internet of Things, the real data deluges...