Adaptive IT Research Articles

The evolution of the it profession navigating by exponential growth in the era of ai and digitalization

The article is dedicated to exploring the strategic methods for the survival of IT professionals amidst the exponential proliferation of artificial intelligence and digitalization. The purpose of this article is to analyze the evolving strategies that IT experts can adopt to navigate and thrive in an environment characterized by the rapid advancement of AI and digitalization. The object of this study is the strategic approaches employed by IT professionals to adapt to the changing landscape of technological evolution. The subject is the formulation of effective survival strategies tailored to the challenges posed by the expanding domain of artificial intelligence and digital transformation. Tasks to be solved include evaluating the impact of exponential growth in AI and digitalization on traditional IT roles, formulating adaptive strategies for IT professionals, and proposing methods for skill enhancement and career sustainability in this dynamic environment. Methods employed encompass a comprehensive analysis of the impact of AI and digitalization on IT roles, strategic planning, empirical studies on the evolving skill sets demanded by the industry, and the examination of case studies illustrating successful adaptation strategies. The following results were obtained: identification of the transforming landscape for IT professionals due to the rise of AI and digitalization, formulation of adaptive strategies catering to the changing demands, insights into skill development, and continuous learning necessary for survival in the rapidly changing IT landscape. Conclusions drawn from this research emphasize the crucial need for IT professionals to adopt a proactive stance towards skill enhancement, continuous learning, development of soft skills, and adaptation to the evolving technological paradigms to ensure career sustainability.

Examining the Critical Success Factors in IT Projects

Many companies experience IT project failures in relatively new areas such as Big Data, Data Science, Enterprise Systems, Blockchain, Cloud Computing, IT security, and IoT. Because of inadequate research in identifying critical success factors for these projects, we conducted a Delphi study employing separate panels for each of two kinds of project implementations, those using a predictive lifecycle approach and those using an adaptive lifecycle approach. We found common critical success factors: user/client involvement, senior management support, effective monitoring and control, effective communication and feedback, good change and configuration management, having a competent project manager, proper project leadership, and excellent vendor performance. Both predictive and adaptive lifecycle IT projects had certain unique critical success factors. The findings provide guidance to IT Project Managers.

Using Lessons from the COVID-19 Crisis to Move from Traditional to Adaptive IT Governance

Using Lessons from the COVID-19 Crisis to Move from Traditional to Adaptive IT Governance

Smart City and Modelling of Its Unorganized Flows Using Cell Machines

The evolution of the digital economy requires the appropriate infrastructure for administrative management and support of “Smart City". All this makes it possible to look at the problems of the city in a new way. SMART-city is an integrated infrastructure, an environment for improving the comfortable life and work of all citizens. In urban traffic flows, there are obstacles in place where traffic flow is not organized. In these places, special solutions, management measures and safety criteria are required. Such flows and situations should be simulated. This problem is solved based on flow-intensive management criteria using situational scenarios. The efficiency of flow management on busy highways requires the consideration of critical factors. In the present work, such a task is investigated using cell machines, which showed efficiency in streaming tasks of gas dynamics. A purpose of work and its result is a decline system's complexity and dimension by means of linearization and reduction of algorithmic complexity. The field of cells is considered. If there’s an obstacle in the cell then the direction by which the obstacle affects minimally is selected (Stochastic assessment has been used). System analysis of SMART-city problems is also carried out in this work. Adaptive IT infrastructure, security, virtualization, risk and the multi-criteria decision-making in an uncertain environment has been analyzed.

IT Governance Mechanisms and Contingency Factors: Towards an Adaptive IT Governance Model

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.

Business-driven service placement for highly dynamic and distributed cloud systems

The emergence of large-scale Cloud computing environments characterized by dynamic resource pricing schemes enables valuable cost saving opportunities for service providers that could dynamically decide to change the placement of their IT service components in order to reduce their bills. However, that requires new management solutions to dynamically reconfigure IT service components placement, in order to respond to pricing changes and to control and guarantee the high-level business objectives defined by service providers. This paper proposes a novel approach based on Genetic Algorithm (GA) optimization techniques for adaptive business-driven IT service component reconfiguration. Our proposal allows to evaluate the performance of complex IT services deployments over large-scale Cloud systems in a wide range of alternative configurations, by granting prompt transitions to more convenient placements as business values and costs change dynamically. We deeply assessed our framework in a realistic scenario that consists of 2-tier service architectures with real-world pricing schemes. Collected results show the effectiveness and quantify the overhead of our solution. The results also demonstrate the suitability of business-driven IT management techniques for service components placement and reconfiguration in highly dynamic and distributed Cloud systems.

Perancangan Infrastruktur Teknologi Informasi Adaptif Pada Badan Tenaga Nuklir Nasional

Design an adaptive IT infrastructure in BATAN is needed to solve problems related to research and partnerships, which is the main function of BATAN. This research uses TOGAF ADM framework. Result of this research is a design of an adaptive IT infrastructureat BATAN. The results of research, there are fives applications were retained and fives applications were replaced. There are additional applications and infrastructure: SIPO, SIKO, and SOAP.

IT governance balancing global integration and local responsiveness for multinational companies

Balancing global integration and local responsiveness (I–R) is becoming critical for multinational enterprises (MNEs). In considering information technology's (IT's) supporting role for I–R, an in-depth case study of a leading Taiwanese global network manufacturer was conducted. A virtuous cycle model with dual fit was developed to link the research in I–R and IT governance mechanisms to achieve the MNEs’ global strategy and respond agilely to the environmental change. Practical arrangements and critical mechanisms were derived to develop the dual fit model, which explores factors like structure redesign and value-creation modular design as structural arrangements. In addition, three critical mechanisms to achieve the dual fit model, including organisational configuration design, modular structure reconfiguration design, and adaptive IT co-management were suggested, consistent with total quality management key principles. Since few studies report the practices of achieving I–R and how IT governance should adjust simultaneously, this study made a contribution to knowledge in the subject area.

A CRITICAL EVALUATION OF SMES ATTITUDES TOWARDS INFORMATION TECHNOLOGY INTEGRATION IN NIGERIA

Globally, there is a growing trend towards high dependence on knowledge, information, IT skills and application of these resources within business environments. It is alarming that many small and medium scale enterprises (SMEs) in Nigeria are either unwilling or slow at integrating effective IT innovations and practices as indicated by reduced rate of IT expert engagements, trendy preference for hiring computer biased non-professionals to drive IT function as well as infusion of IT units into other departments. This paper therefore discusses these attitudes of SMEs towards IT as bases for recommending remedial approaches to the phenomenon. While the research questions addressed the extent to which inadequate financing, competence, limited knowledge, management perception, nature of business and resistance to change constitute major factors contributing to these attitudes, it posits that trend reversal can be achieved through competitive IT education, adaptive IT framework for SMEs, establishment of IT office as a statutory requirement for SMEs, adequate funding, etc. The study employs a descriptive research design using 100 randomly selected registered SMEs across all sectors of the Nigerian economy. Simple percentages, mean distribution and Chi-Square were used in the statistical analysis to predict factors influencing the undesirable SMEs’ attitudes towards IT. The research results identify management perception as the greatest factor contributing to SMEs’ attitudes. Therefore, this paper is relevant and of interest to all who have a stake in Nigeria’s emerging knowledge based economy.

The Evolution of Adaptive IT Capability Based on Agent-Based Simulation: From Routines Perspective

The evolution of adaptive IT capability in the ever-changing business environment are not well explained. To fill this gap, this paper depicts a micro-interpretation of the evolution of adaptive IT capabilities from a routines perspective, and uses the agent-based simulation methodology to simulate the evolutionary process of adaptive IT capability as well as to identify the underlying principles.