No abstract

Background and Purpose:In this paper, we aim to propose a guideline for further research towards development of an adaptive strategic IT governance (ITG) model for small and medium-sized enterprises (SMEs). The use of IT has the potential to be the major driver for success, as well it provides an opportunity to achieve competitive advantage and support digital transformation. In order to achieve IT benefits, enterprises need an effective and successful ITG model, which follows and adapts to business needs. Available ITG models are too generic and do not differentiate for enterprises of different industry, size, maturity etc. Methodology: In order to review existing ITG mechanisms, their definitions and identify contingency factors, we performed an extensive literature review (LR). For the initial set of databases, we used the list of journals, which are indexed in the Journal Citation Reports. We also used Web of Science to identify articles with the highest number of citations. Results: This paper provides the most important definitions of ITG and proposes its comprehensive definition. Next to this, we introduce ITG mechanisms, which are crucial for the effective implementation and use of ITG. Lastly, we identify contingency factors that influence ITG implementation and its use. Conclusion: Despite extensive research in ITG area, considerable work is still needed to improve understanding of ITG, its definition and mechanisms. Multiple efforts to develop methods for governing IT failed to achieve any significant adoption rate of ITG mechanisms. To enable ITG to become an integral part of Corporate Governance, further research needs to focus on the development of an adaptive strategic ITG model. In this paper, we propose a next step for more practical method for ITG implementation and its use.

Background: A nationwide study was conducted to explore the short term association between daily individual meteorological parameters and the incidence of acute coronary syndrome (ACS) treated with coronary emergency catheter interventions in the Republic of Slovenia, a south-central European country. Method: We linked meteorological data with daily ACS incidence for the entire population of Slovenia, for the population over 65 years of age and for the population under 65 years of age. Data were collected daily for a period of 4 years from 1 January 2008 to 31 December 2011. In line with existing studies, we used a main effect generalized linear model with a log-link-function and a Poisson distribution of ACS. Results and Conclusions: Three of the studied meteorological factors (daily average temperature, atmospheric pressure and relative humidity) all have relevant and significant influences on ACS incidences for the entire population. However, the ACS incidence for the population over 65 is only affected by daily average temperature, while the ACS incidence for the population under 65 is affected by daily average pressure and humidity. In terms of ambient temperature, the overall findings of our study are in line with the findings of the majority of contemporary European studies, which also note a negative correlation. The results regarding atmospheric pressure and humidity are less in line, due to considerable variations in results. Additionally, the number of available European studies on atmospheric pressure and humidity is relatively low. The fourth studied variable—season—does not influence ACS incidence in a statistically significant way.

Although the literature studying software development methodologies (SDMs) lists several significant positive effects of the deployment of SDMs, investments into SDMs by the enterprises remain relatively limited. Strategic investments decisions, such as SDMs investments, are mostly taken with the goal of improving enterprise performance. In this paper a model for evaluation of the adoption of SDMs that focuses on the abovementioned SDMs impact on enterprise performance is proposed. The model was empirically tested in four case studies in software development small and medium enterprises (SMEs) in Slovenia. The case studies confirmed that the use of the proposed model enabled SMEs to improve SDMs related investment and adoption decisions and enabled SMEs to invest their limited resources in the most productive and competitive way. The case study experience with the proposed model suggests that its use would also bring similar benefits to larger software development enterprises.

Information technology (IT) can have a direct and indirect impact on business performance. New technologies change the risks at the strategic and governing levels of an enterprise. In the age of digitalization, we need to develop new understandings and approaches to governance and management. The most established IT governance (ITG) models, such as COBIT, ITIL and CMMI, are universal, one-size-fits-all models that are not in line with contingency theory and are predominantly designed for large multinational enterprises. They are too cumbersome and cost-intensive for small and medium enterprises (SMEs) to use effectively. Therefore, there is a need to develop more efficient models that are contingency-based and easier to implement than existing models and thus adaptable to the actual needs of the business. This paper presents an empirical evaluation of key ITG mechanisms from the literature that clearly shows that several are not universally but situationally necessary, thus demonstrating the need for new contingency-based ITG models.