VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
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Improvement of incident management model using machine learning methods
No full textTechnical support of IT infrastructure is a crucial aspect of organizational operations, with the most challenging task being ensuring service continuity. Quality support guarantees high IT efficiency, but complex incidents reduce support quality and require effective management. Incident management includes configuration processes and control of technical solutions. To improve technical support, adhering to both quantitative and qualitative standards and considering system specifics is necessary. According to service level agreements (SLA), the resolution time of incidents is important. „Service Desk“ tools, applying machine learning methods, can help optimize these processes. Incorrectly classified user requests lead to additional work for the IT team and delay incident resolution. Machine learning methods, such as K-means clustering, Random Forest regression, and classification, can optimize incident management and speed up resolution time. The research analyzes „Service Desk“ incident data to model resolution times and improve incident management.
Article in Lithuanian.
Incidentų valdymo modelio tobulinimas, taikant mašininio mokymosi metodus
Santrauka
IT infrastruktūros techninis palaikymas yra esminis organizacijos veiklos aspektas, kurio sudėtingiausia užduotis yra užtikrinti veikimo tęstinumą. Kokybiškas palaikymas garantuoja aukštą IT efektyvumą, tačiau sudėtingi incidentai sumažina palaikymo kokybę ir reikalauja veiksmingo valdymo. Incidentų valdymas apima konfigūracijų procesus ir techninių sprendimų kontrolę. Siekiant pagerinti techninį palaikymą, būtina laikytis tiek kiekybinių, tiek kokybinių standartų ir atsižvelgti į sistemų specifiką. Pagal paslaugų lygio sutartis (SLA) svarbus incidentų sprendimo laikas. „Service Desk“ įrankiai, taikant mašininio mokymosi metodus, gali padėti optimizuoti šiuos procesus. Naudotojų neteisingai klasifikuotos užklausos lemia papildomą IT komandos darbą ir vilkina incidentų sprendimą. „K-means“ klasterizacijos, „Random Forest“ regresijos ir klasifikacijos mašininio mokymosi metodai gali optimizuoti incidentų valdymą ir pagreitinti sprendimo laiką. Tyrimo tikslas yra analizuoti „Service Desk“ incidentų duomenis, siekiant modeliuoti sprendimų laiką ir pagerinti incidentų valdymą.
Reikšminiai žodžiai: IT infrastruktūra, techninis palaikymas, incidentų valdymas, incidentų sprendimo laikas, Service Desk, mašininio mokymosi metodai, užklausos klasifikavimas
Preemptive market exploitability: resource advantage theory of competition perspective
No full textThe current study aims to elucidate the critical importance of preemptive market exploitability as a bridging concept for solving the inconsistent findings on the role of entrepreneurial orientation in enhanced marketing performance. Rooted on the resource advantage theory of competition (RAToC), the preemptive move is postulated as a strategic orientation for reaching a competitive positional advantage in the market when supported by a strong entrepreneurial orientation complemented with a solid quality-based differentiation. A survey method was used to collect data after inviting four hundred owner-managers of small and medium enterprises (SMEs) to participate in this study. The structural equation modelling software AMOS tested our proposed hypotheses. The quantitative analysis resulted in accepting the proposed premises with several significant findings. The most important finding is that companies should invest in preemptive market exploitability as a strategic asset for high marketing performance
The effect of sustainable marketing analysis on purchasing decisions with buying intention as a mediation: evidence from zero waste shop in Indonesia
No full textThe rapid social change in the world through global economic turmoil, social inequality, and degradation of the natural context triggered an increase in criticism of the marketing approach oriented towards the dimension of profit alone. The concept of modern marketing requires rebranding with sustainability issues, namely the sustainable marketing model. Marketers must present to consumers an active and responsible management attitude and openness and honesty in market communication. This study aims to investigate the influence of the application of sustainable marketing on purchasing decisions in zero waste shops, where purchase intention is a mediator. The dimensions of sustainable marketing include customer solution, customer cost, communication, and convenience. Quantitative research was undertaken by distributing survey questionnaires via google forms online. A total of 193 respondents were obtained from distributing questionnaires in Jakarta. The data was analyzed using Structural Equation Modelling-Partial Least Square (SEM-PLS). The analyses have proven that sustainable marketing positively affects purchase intention and purchase decisions. Purchase intention has a positive effect on purchase decision dan has functioned effectively as a mediator between sustainable marketing and purchase decision. This study contributes to a long-term-oriented marketing strategy by looking at the dynamics of healthy lifestyle changes that must be done quickly
The greenwashing trap: how misleading marketing affects consumer green purchasing habits
No full textThe rising environmental concern has driven organizations to adopt green marketing practices. However, a growing number of organizations have been engaging in greenwashing practices, which mislead customers about their environmental performance. This can have negative consequences for the organization, the industry, and society as a whole. Despite the growing concern about greenwashing, there is limited research on how it affects consumers’ purchasing decisions. To address this gap, we conducted a study to explore the effect of greenwashing perception on green purchase intention in the touristic accommodation industry. Primary data was collected from 693 tourists who visited the Canary Islands, and structural equation modeling (SEM) was used to verify hypotheses with the help of AMOS 29 software. The findings revealed that greenwashing perception does not directly affect green purchasing intention or impact green trust. However, green trust was found to be a significant predictor of sustainable choices in the touristic accommodation industry. Additionally, the study provided evidence that previous touristic accommodation experience moderates the relationship between green trust and green purchase intention and the relationship between greenwashing perception and green trust. This research has important implications for marketers and adds to the body of knowledge on greenwashing and green purchasing. By incorporating the Stimulus-Organism-Response (SOR) paradigm, this study uncovers new linkages that better help understand the phenomenon of green purchasing among travelers
Implementing a rapid application development course in higher education and measuring its impact using Kirkpatrick’s model: a case study at Vilnius Gediminas Technical University
No full textNowadays, technological development and improvement in business is happening rapidly, so higher education (HE), and not only, studies should constantly provide and develop new up-to-date knowledge and skills to students, in order to train competitive specialists, address digital transformation by developing digital readiness of higher institutions, and increase employment opportunities of students. Consequently, this paper discusses the implementation of the newly developed courses for teaching Rapid Application Development (RAD) on the Oracle Application Express platform into the studies at Vilnius Gediminas Technical University (VILNIUS TECH) and presents the effectiveness of the implementation of this course measured using Kirkpatrick’s model. The obtained results show that students’ knowledge of RAD increased after attending the course. In addition, a 76% agreed that this course increased their knowledge of the subject matter
Seismic performance sensitivity analysis to random variables for cable tray system
No full textRandom variables introduced in modelling of seismic engineering are often the result of cognitive limitations and the unpredictability of structures, leading to uncertainties in the field. A practical method for dealing with them is to develop sensitivity analysis in the framework of data and probability statistics. Of existing non-structural components, cable tray systems are characterized by a number of uncertainties which may influence their bearing capacity drastically. In this research, the main characteristics of material, geometry, member layout along with the connection stiffness in cable tray are considered as random variables using global sensitivity analysis, with their results relative importance of these potential uncertainties on the seismic performance of cable tray. The sensitivity analysis method developed especially for cable tray under seismic excitation is constructed based on modal analysis and equivalent inertia force method combined with the Latin hypercube sampling method. The final results demonstrate the need to consider the effects of random variables in modeling assumption in seismic performance analyses of cable tray and can be further used in optimization design
Structural equation model-based performance measurement system for transferring PPP water projects: a China perspective
No full textA series of performance measurement need to be carried out throughout the project life cycle to ensure the successful transfer of public-private partnership (PPP) assets and meet stakeholder needs. More and more water projects are stepping into the transfer phase, but less studies carry out in-depth and systematic discussion on the performance measurement of PPP water projects at the transfer phase. Hence, to fill this gap, this research establishes a new performance measurement system (PMS) for evaluating the performance of the PPP projects stepping into the transfer phase based on the key performance indicators (KPIs). Through case study, expert interview and questionnaire, this paper formulates the logical basis behind PPP water projects at the transfer phase and subsequently constructs the transfer performance measurement system (TPMS) of these projects. Then, it conducts a confirmatory analysis of the impact relationship between the indicators based on structural equation modeling (SEM). Findings of expert interview and questionnaire indicate that there are 7 primary and 26 secondary indicators, and the model has a good fit. The TPMS will provide governments, operators and other stakeholders with a comprehensive and complete understanding as to indicators required of an effective performance measurement of PPP water projects
What hinders Internet of Things (IoT) adoption in the Chinese construction industry: a mixed-method
No full textAlthough the Internet of Things (IoT) has aroused much interest as a potential approach for improving various construction activities, the extent of its adoption remains limited. The multiple barriers that prevent the wider adoption of IoT in the construction industry need detailed investigation. However, limited research has attempted to understand the barriers to IoT adoption. Therefore, this study aims to identify the critical barriers to IoT adoption in the construction industry and explore the prioritization and hierarchical structure of the barriers factors. Data were collected from relevant literature and feedback from Chinese industry experts, sixteen barriers against IoT adoption were identified and categorized based on the TOE framework assessed in the construction industry. An integrated interpretation structure model and decision-making and trial evaluation laboratory (ISM-DEMATEL) approach is adopted to analyze the interdependence between identified constructs and their intensities. In addition, the identified constructs are also clustered into a suitable group using MICMAC analysis. Results show that inadequate infrastructure, lack of governance, and top management support are the fundamental barrier against IoT adoption. By revealing the mutual relationships and interlinking of barriers, this study will help researchers and practitioners in the construction industry to focus on strategic efforts to overcome these obstacles to effective IoT implementation. This research revealed the barriers to IoT implementation in the Chinese construction industry. Also, it provides methodological tool references for exploring the impact factor of other similar innovative technology applied in this industry
Effect of dose and types of the water reducing admixtures and superplasticizers on concrete strength and durability behaviour: a review
No full textAs one of the concrete admixtures, water reducing admixtures and superplasticizers are usually used to reduce the mixing water volume and improve the performance of the harden concrete while maintaining better workability of the fresh concrete. However, the concrete strength and durability properties are affected differently by different types and dosages of the water reducing admixtures and superplasticizers. Based on the published literatures, this paper comprehensively reviews and analyzes this problem. Different types of the concretes, including ordinary Portland cement concrete, ordinary Portland cement concrete containing pozzolan, fly ash and ground granulated blast furnace slag, calcium sulfoaluminate cement concrete, ferrite aluminate cement concrete, recycled aggregates concrete, lightweight aggregate concrete, self-compacting concrete and ultra-high performance concrete, are considered to discuss the influence of types and dosages of the water reducing admixtures and superplasticizers on their strengths. Water absorption, frost resistance and permeability resistance of the concrete are mainly reviewed to discuss this influence on the durability properties of the concrete. Then, some suggestions on the application of the water reducing admixtures and superplasticizers in reinforced concrete structures and projects are proposed
Computer vision based early fire-detection and firefighting mobile robots oriented for onsite construction
No full textFires are one of the most dangerous hazards and the leading cause of death in construction sites. This paper proposes a video-based firefighting mobile robot (FFMR), which is designed to patrol the desired territory and will constantly observe for fire-related events to make sure the camera without any occlusions. Once a fire is detected, the early warning system will send sound and light signals instantly and the FFMR moves to the right place to fight the fire source using the extinguisher. To improve the accuracy and speed of fire detection, an improved YOLOv3-Tiny (namely as YOLOv3-Tiny-S) model is proposed by optimizing its network structure, introducing a Spatial Pyramid Pooling (SPP) module, and refining the multi-scale anchor mechanism. The experiments show the proposed YOLOv3-Tiny-S model based FFMR can detect a small fire target with relatively higher accuracy and faster speed under the occlusions by outdoor environment. The proposed FFMR can be helpful to disaster management systems, avoiding huge ecological and economic losses, as well as saving a lot of human lives