Iskanje po katalogu digitalne knjižnice

Opis: Purpose: This paper aims to define hybrid reality (HyR) as an ongoing process in which artificial intelligence (AI) technology is gradually introduced as an active stakeholder by using reasoning to execute real-life activities. Also, to examine the implications of social responsibility (SR) concepts as featured in the HyR underlying common framework to progress towards the redefinition of global society. Design/methodology/approach: A combination of systemic tools is used to examine and assess the development of HyR. The research is based on evolutionary and learning concepts, leading to the new meta-system development. It also builds upon the viable system model and AI, invoking SR as a conceptual framework. The research is conducted by using a new approach: using system dynamics based interactions modelling, the following two models have been proposed. The state-of-the-art HyR interactions model, examined using SR concepts; and a SR concept-based HyR model, examined using a smart vehicle case. Findings: In the HyR model, interaction asymmetry between stakeholders is identified, possibly leading to pathological behaviour and AI technology learning corruption. To resolve these asymmetry issues, an interaction model based on SR concepts is proposed and examined on the example of an autonomous vehicle transport service. The examination results display significant changes in the conceptual understanding of transport services, their utilisation and data-sharing concepts. Research limitations/implications: As the research proposal is theoretical in nature, the projection may not display a fully holistic perspective and can/should be complemented with empirical research results. Practical implications: For researchers, HyR provides a new paradigm and can thereby articulate potential research frameworks. HyR designers can recognise projected development paths and the resources required for the implication of SR concepts. Individuals and organisations should be aware of their not necessarily passive role in HyR and can therefore use the necessary social force to activate their status. Originality/value: For the first time, to the best of the author’s knowledge, the term HyR is openly elaborated and systemically examined by invoking concepts of SR. The proposed model provides an overview of the current and potential states of HyR and examines the gap between them.
Ključne besede: artificial intelligence, social responsibility, systems thinking, cybernetics, hybrid reality, interactions model
Objavljeno v DKUM: 04.02.2025; Ogledov: 0; Prenosov: 243
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Opis: Purpose Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights. Design/methodology/approach Since data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed. Findings Data sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research. Research limitations/implications Since the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions. Practical implications For the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols. Social implications Data sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences. Originality/value The paper opens new research directions of data sharing concepts and space for a new field of research.
Ključne besede: hybrid reality, data sharing, systems thinking, cybernetics, artificial intelligence
Objavljeno v DKUM: 14.02.2024; Ogledov: 367; Prenosov: 19
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Opis: Enterprise as a business system (BS) assures its own existence and development by a high quality of its business. Its business results can be considerably improved, if the BS creates its system of the standard decision-making processes (DM), which provides for a high quality of business DM and its methodological uniformity in different BS's. Within the standardisation, we establish both a standardised research methodology and a standardisation of contents, and develop a system of standardised DM processes in the BS. We uniform the DM by both a holistic methodological and a partial contents standardisation. We define it on the basis of our holistic investigation into it, which includes the institutional, functional, and factors aspects. These factors are defined and distributed in the fields of DM and both the general and the special standard systems of DM factors are developed. We study the DM process thoroughly, while the acquired knowledge on the process is formalised and developed into a cybernetic model. A general system of DM and its corresponding model is created in order to provide for the requisite holism and complexity of DM, as well as the uniformity of its consideration. The selected problem is solved when we complete the standardisation of the DM, which includes the conception of the standard methodology, its application and the development of its standardised manner.
Ključne besede: management, quality, standardization, decision making, cybernetics, business, company business, methodology
Objavljeno v DKUM: 04.07.2017; Ogledov: 1128; Prenosov: 138
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