Journals Published by Vilnius Tech
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Diversity is not inclusion: a four-dimensional approach to corporate creative-intensive ecosystems
Get PDFThis paper aims at presenting a four-dimensional approach to studying and managing creative-intensive ecosystems, namely flows, spaces, temporalities, and processes. The study departs from a sociocultural approach and draws on the authors’ qualitative research on innovation management, historical facts, and related studies on creativity. The research corpus includes 11 semi-structured interviews (13 hours and 37 minutes) with innovation managers with experience in large companies in Brazil and interpreted with a framework analysis technique. The text concludes that the potential of corporate creative processes lies in their ability to manage communication flows, spaces, temporalities, and processes that allow for systemic differentiation between more conservative social arrangements. The dimensions are deductively implied from the results of the framework analysis
Creative use of objects as signs in cinema: an analysis of Sergei Parajanov’s Hakob Hovnatanyan
Get PDFThe paper presents an analysis of Sergei Parajanov’s short film, Hakob Hovnatanyan (1967), and its significance as an example of poetic cinema within Soviet cinematography. Not only feature-length films of Parajanov, but also his short films hold an important place among his œuvre, as a multi-modal and multi-channel visualization of the past. Hakob Hovnatanyan is a prime example of poetic cinema in Soviet cinematography. A pioneer in this discourse in the Soviet Union was Andrei Tarkovsky with his film Andrei Rublev (1966). Examples of this discourse include the Parajanov’s films The Color of Pomegranates (orig. Nṙan gowynë, 1969), Arabesque on a Theme of Pirosmani (orig. Arabeskebi Pirosmanis temaze, 1985), and Etudes on Vrubel (orig. Etyudy on Vrubel, 1989), which was directed by Leonid Osyka (scriptwriter Parajanov). The paper explores Hakob Hovnatanyan as a converter of cultural memory and multimodal vehicle for the construction of the spirit of the city. While in the framework of the short film the city is presented in the open air, in the middle the interior, the everyday life, the hum of language, and the language of clothes and necklaces of Old Tbilisi, Georgia, are presented. The interior and spirit are presented not only on the visual level of paintings, carpets, and furniture (a dresser with a metronome) but also through auditory elements: sound, language, music, etc. Thus, through a multimodal visualization of the past Parajanov presents a new language of cinema (Shadows of Forgotten Ancestors (orig. Tini zabutykh predkiv, 1965), The Color of Pomegranates, The Legend of Suram Fortress (orig. Ambavi suramis tsikhisa, 1985), Ashik Kerib (orig. Ashik’-keribi, 1988, first director Dodo Abashidze))
Capitalization effects of rivers in urban housing submarkets – A case study of the Yangtze River
Get PDFThe study aims to investigate the heterogeneity of the Yangtze River’s impact on housing prices, using the data of 12,325 residential transactions within 8 kilometers of the Yangtze River in Wuhan, based on submarkets divided according to geographical location and buyer groups. The kernel density plots reveal that properties near the Yangtze River have the highest price and the lowest density, while properties further away from the river exhibit the opposite trend. Then the Spatial Generalized Additive Model and the Spatial Quantile Generalized Additive Model show the following results, respectively: (1) The Yangtze River has an influence range of roughly 5 kilometers on adjacent dwellings, with an average impact of 0.035%. However, within the chosen geographical interval, the impact rises from 1.582% to 2.072%. (2) The Yangtze River has the greatest impact on middle-priced houses, followed by high-priced houses, and the least impact on low-priced houses. (3) The Spatial Generalized Additive Model and the Spatial Quantile Generalized Additive Model have been proven to be effective at capturing spatial and temporal impacts on data. In conclusion, this article advises that the government should pay more attention to non-central locations with limited natural resources
Extracting and prioritizing the attractiveness parameters of shopping centers under intuitionistic fuzzy numbers
Get PDFShopping center plays an important role in distribution system and marketing. These canters provide an appropriate atmosphere for customers; so that, the customers achieve the best service within a short time. However, there is an intense competition among shopping centers to attract more customers for increasing the profit. Therefore, a powerful model assists authorities in identifying the critical competitive aspects and directing their efforts toward performance improvement. However, a number of strategies have been developed to identify the most relevant components. The Delphi technique under intuitionistic fuzzy environment, called intuitionistic fuzzy Delphi method (IFDM) study, is a group-based technique that can simply formulate the uncertainty imposed by decision making circle. On the other hand, multi criteria decision making (MCDM) method such as analytical network process (ANP) is a mathematical tool for taking into account mutual relationships in order to rank a number of criteria. Nonetheless, the ANP is unable to account for the uncertainty involved in the decision-making process. Similarly, the intuitionistic fuzzy set (IFS) can express ambiguity and vagueness by utilizing the given scale. Because the IFS is robust in dealing with complexity and ambiguity, the IFS-GANP (an integrated model of the IFS and ANP methods under group decision) can result in a more specific description of the situation. As a result, the IFS-GANP approach outperforms both conventional ANP and fuzzy ANP. To demonstrate the model’s feasibility, a case study rating the essential aspects impacting the attractiveness of retail centers is shown. The result demonstrates factor C31 (Location) with value of 0.202 plays the greatest role in attracting customers
Proactive pricing strategies for on-street parking management with physics-informed neural networks
Get PDFEffective pricing is important for on-street parking management and proactive parking pricing is an innovative strategy to achieve optimal parking utilization. For proactive parking pricing, accurately predicting parking occupancy and deriving the price elasticity of parking demand are necessary. In recent years, there have been an increasing number of studies applying big data technology for parking-occupancy prediction. However, existing research has not incorporated economic knowledge into modeling, thus preventing application of the price elasticity of parking demand. In this study, proactive pricing strategies are proposed to adjust on-street parking prices which involve a parking-occupancy prediction model and a price-optimization method. Physics-informed neural networks are employed to achieve accurate prediction of parking occupancy and calculation of parking price elasticity. An elasticity-occupancy parking-management strategy is proposed for on-street parking management which leverages parking occupancy and price elasticity to guide pricing interventions. A case study shows that the parking-occupancy prediction model can make accurate predictions and derive the price elasticity of parking demand. Proactive parking pricing enables drivers to plan their trips in advance, allowing parking occupancy within an optimal range
Factors affecting implementation of computer vision-based technologies adopted for monitoring buildings construction projects
Get PDFConstruction monitoring in dynamic construction site environments poses significant challenges for construction management. To overcome these challenges, the implementation of computer vision (CV) technologies for construction project monitoring has gained traction. This study focuses on investigating the factors influence the successful implementation of CV technologies in monitoring construction activities within building projects. A comprehensive methodology was employed, including a systematic review of CV technologies implemented in construction and qualitative surveys conducted with construction experts. Additionally, a quantitative questionnaire was developed, and the collected data was analysed using structural equation modelling. The findings reveal the presence of 10 factors categorized into four constructs. Notably, all 10 factors demonstrate high value factor loadings and statistical significance, and among the four constructs (device, jobsite, environment, human), device (0.82) has the highest impact on the implementation of CV-based technologies on the construction site, followed by jobsite condition (0.62), human (0.61), and environment (0.51) came in the last place. By addressing these influential factors and mitigating their effects, construction stakeholders can enhance the implementation of CV technologies for monitoring construction sites. This study contributes valuable insights that inform the implementation and optimization of CV technologies in construction projects, ultimately advancing the field of construction management
Forecasting mechanical properties of steel structures through dynamic metaheuristic optimization for adaptive machine learning
Get PDFMachine learning (ML) presents a promising method for predicting mechanical properties in structural engineering, particularly within complex nonlinear structures under extreme conditions. Despite its potential, research has shown a disproportionate focus on concrete structures, leaving steel structures less explored. Furthermore, the prevalent combination of metaheuristic optimization (MO) and ML in existing studies is often subjective, pointing to a significant gap in identifying and leveraging more effective hybrid models. To bridge these gaps, this study introduces a novel system named the Multiple Metaheuristic Optimizers – Multiple Machine Learners (MMOMML) system, designed for predicting mechanical strength in steel structures. The MMOMML system amalgamates 17 MO algorithms with 15 ML techniques, generating 255 hybrid models, including numerous novel configurations not previously examined. With a user-friendly interface, MMOMML enables structural engineers to tackle inference challenges efficiently, regardless of their coding proficiency. This capability is convincingly demonstrated through two practical applications: steel beams’ shear strength and steel cellular beams’ elastic buckling. By offering a versatile and robust tool, the MMOMML system meets construction engineers’ and researchers’ practical and research needs, marking a significant advancement in the field
Does online media attention improve China’s green fund performance?
Get PDFThis study investigates the relationship between online media attention and the performance of China’s green funds. The results show that increased media attention can boost the performance of green funds in the short term, however, this effect is short-lived. The mechanism of short-term positive effects may be due to increased media attention leading to larger purchases, which may undermine funds’ long-term performance. In particular, online media attention has a greater impact on larger and older funds. Moreover, it indicates that media attention reduces the returns of individual investor-dominated funds, but has little effect on institutional investor-dominated funds
Analyzing the impact of the innovation performance on high-tech enterprises: a case study of the Chinese semiconductor industry
Get PDFThis study, which focuses on Chinese semiconductor companies, explores the relationship between government support (GS), proactive market orientation (PMO), science and technology (S&T) employees input (STEI), S&T employees management (STEM), and innovation performance (IP). In addition, existing studies examine the moderating effect of S&T employees management (STEM) on the relationship between S&T employees input (STEI) and innovation performance (IP). We obtained 324 valid samples through an email survey and utilized structural equation modeling (SEM) path analysis for hypothesis testing. The results of the analysis indicated that government support (GS), proactive market orientation (PMO), S&T employees input (STEI), and S&T employees management (STEM) exerted a positively significant effect on innovation performance. However, the moderating effect of S&T employees management on S&T employees input and innovation performance was not validated. Based on these findings, it can be concluded that Chinese semiconductor companies should utilize preferential policies of government offer. By adopting a proactive market orientation, companies can enhance communication with customers and can gain competitive advantage. In addition, enterprises should increase the number of S&T employees, and salaries and training costs. Finally, enterprises should implement the human resources strategy which can retain outstanding S&T employees
Analysing students’ mobility at higher education institutions: case of Ukrainian university during the war
Get PDFHigher Education Institutions (HEIs) often overlook the importance of systematic data collection and analysis. This oversight can obscure critical trends and decision-making insights, particularly student mobility. HEIs management may not detect the outflow of students related to academic mobility and therefore will not make timely managerial decisions. This article aims to provide guidance to university management on how data collection and analysis can improve informed decision-making, focusing on student mobility, especially in times of severe disruptions, like military conflicts. To reach this goal, desk research of previous literature was conducted to identify risks and challenges related to students’ mobility and the previous experience to address them. Secondary data analysis of student outflow at the Faculty of Economics of the National University “Kyiv-Mohyla Academy” (NaUKMA) from 2015–2022, alongside a student survey provided insights into the students’ academic mobility process dynamics. The findings demonstrate a significant outflow of students from educational programs, highlighting the opportunities and risks associated with academic mobility. Analysis of this data reveals critical insights into student motivation, which can significantly influence their decisions and behavior. Students’ mobility data analysis will instantly point out the problem to HEI management, making it possible to prevent the consequences