Human Factor in Information Systems Development and Management
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 14127
Special Issue Editors
Interests: human-computer interaction; artificial intelligence; software quality; usability
Special Issues, Collections and Topics in MDPI journals
Interests: research methodologies; ICT in transition economies; ICT for development; business statistics; business psychology
Interests: knowledge grid; knowledge validation and verification; knowledge management; expert system applications; artificial intelligence and database technology; distance and open learning
Special Issue Information
Dear Colleagues,
The significance of the “human factor” is beginning to dawn on software vendors, and though difficult and intangible to measure by nature, the human factor is starting to be seen for what it is: the core of an information system (IS). Yet, in many cases, the collaboration and communication with the users is still ineffective or simply neglected.
Nowadays, information systems are fuelled by large datasets and embedded with artificial intelligence (AI) capabilities driven by machine learning (ML) methods and techniques. The requirements formulated toward modern software systems have considerably changed, imposing novel challenges and vast opportunities. However, while organizations are rushing to deploy AI solutions, the voice of users often seems faint.
Moreover, with the proliferation of information systems (ISs) in both business and personal applications increasing, the growing research interest across diverse disciplines in the human factor is unsurprising. Although many studies have been devoted to addressing the role of the human factor in IS development and management, one can notice the vastly different circumstances due to the COVID-19 pandemic.
In the current situation, COVID-19 has appeared as a real challenge; however, it has also presented an opportunity to tackle a plethora of issues related to work processes, procedures and policies. Therefore, decision makers need to adapt and apply new way of managing communication and collaboration with IS users.
In summary, this Special Issue of the Big Data and Cognitive Computing journal aims to collect and disseminate actual state-of-the-art research regarding the role and impact of the human factor in information system development and management.
Dr. Paweł Weichbroth
Dr. Jolanta Kowal
Dr. Mieczysław Lech Owoc
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
