In this paper, we examine the relationships between maturity, information quality, analytical decision-making culture, and the use of information for decision-making as significant elements of the success of business intelligence systems (BIS). Statistical analysis of data collected from 181 medium and large organizations is combined with the use of descriptive statistics and structural equation modeling. Empirical results link BIS maturity to two segments of information quality, namely content and access quality. We propose a model that contributes to understanding of the interrelationships between BIS success dimensions. Specifically, we find that BIS maturity has a stronger impact on information access quality. In addition, only information content quality is relevant for the use of information while the impact of the information access quality is non-significant. We find that an analytical decision-making culture necessarily improves the use of information but it may suppress the direct impact of the quality of the information content.
COBISS.SI-ID: 21045222
This paper presents a mathematical model for an optimal security-technology investment evaluation and decision-making processes based on a quantitative analysis of the security risks and a digital-assets assessment in an organization. The model makes use of a quantitative analysis of different security measures that counteract individual risks by identifying the information-system processes in an enterprise and the potential threats. The model comprises the target security levels for all the identified core business processes and the probability of a security accident together with the possible loss the organization may suffer. The model allows in-depth analyses and computations providing quantitative assessments of different options for investments, which translate into recommendations that facilitate the selection of the best solution and the associated decision-making. The model was tested with data from a real business environment.
COBISS.SI-ID: 25578535
Online trust systems aim to translate the role that trust has in the traditional world onto the virtual platforms. Establishing the inter-dependence between these systems and the human-factor is essential for reducing and understanding the inherent complexity of the open social platforms, and for improving the user-experience and system-performance. This work determines the systemic features of trust and introduces a novel framework of design-properties based on the principles of General Systems Theory. We determine the systemic properties which lack in the current technical solutions, and incorporate social factors into the design-guidelines of trust systems. We introduce four influence-factors and demonstrate that accounting for those factors leads to compliance with the generic system-principles. This is the first study applying fundamental social science principles from General Systems Theory and case-study research for the purpose of theory-building and evaluation of technical human-centric solutions.
COBISS.SI-ID: 21257190
The paper presents the results of the empirical study, which links the fields of technology-enhanced learning, organizational learning, and their impact on financial and non-financial business performance. The paper focuses on the presentation of conceptualization of structural model that had been developed to test the impact of technology-enhanced organizational learning on companies’ business performance with more than 50 employees. Results of the study indicate a strong impact of ICT and technology-enhanced learning on organizational learning and non-financial business performance.
COBISS.SI-ID: 26061863
The paper presents a broadband diffusion analysis for European OECD member countries. The Bass diffusion model is used to estimate the total number of potential adopters, the coefficient of innovation and the coefficient of imitation. The analysis shows that if the present trends continue broadband services will not reach the 100% penetration rate in the near future. Based on these findings, the question of a possible revitalization is discussed with a focus on those segments of the population which are slower to adopt broadband. A survey of households in rural areas provides preliminary investigation of reasons for continuing non-adoption, such as social habits and lack of both knowledge and interest.
COBISS.SI-ID: 20383718