VGTU Journals (Vilnius Gediminas Technical University - Vilnius Tech)
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    12536 research outputs found

    From theory to action: what motivates consumers to purchase IoT sustainable products

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    In an era marked by the importance of sustainability and technological integration, this paper explores the drivers behind sustainable consumption in a rapidly evolving market, focusing on Romanian consumer perspectives towards sustainable products driven by the relationship between the circular economy and the Internet of Things (IoT). Leveraging structural equation modelling, we conduct a thorough survey to investigate the roles of shaping purchase behaviors within the context of the circular economy and IoT integration. The findings reveal that while environmental attitudes significantly influence purchase intentions, price sensitivity and perceived value play a crucial role in shaping consumer choices. From a theoretical perspective, this study highlights the interplay between sustainability concerns and market dynamics, contributing to the broader understanding of sustainable purchase behavior. From a managerial perspective, the results provide actionable insights for businesses to design value-aligned strategies, ensuring that sustainable products are both accessible and appealing to a diverse consumer base. This dual focus on theory and practice offers a roadmap for fostering responsible consumption in a competitive marketplace

    Does digital payments reduce the risk of money laundering? The role of financial sector development

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    This study examines how financial sector development mediates the relationship between digital payments and money laundering. The current study relies on a sample of 120 countries, including both developed and developing economies, for the years 2014, 2017, and 2021. The findings reveal that digital payments, the rule of law, and political stability reduce the risk of money laundering, indicating that the increased use of digital payments helps reduce the risk of money laundering. This suggests that digital transactions, being more traceable and transparent than cash transactions, can help authorities monitor and prevent illicit financial activities more effectively. Regarding the mediation effect of financial sector development, the results show that financial sector development and the rule of law positively affect the density of digital payment transactions. In addition, it revealed that money-laundering risk is lower when the financial system develops and compliance with laws and political stability. These findings provide actionable insights for policymakers, regulators, and financial institutions committed to strengthening anti-money laundering efforts

    Is contractual flexibility always good for relationship quality among the parties in construction projects?

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    Contractual flexibility as an effective way to maintain and increase parties’ relationship quality has been widely introduced to contracting in construction projects. However, conflicting evidences exist regarding their effectiveness on relationship quality based on transaction cost theory. Building on two distinct bases for contractual flexibility: content flexibility, rely on flexible content incorporated in initial contract content, versus executing flexibility, rely on parties’ relationship instead of contract contents, this study examines how contractual flexibility effect relationship quality under different transaction attributes (asset specificity, environmental uncertainty, and behavioral uncertainty). Results from a sample of 312 parties reveal that content flexibility and executing flexibility positively influence relationship quality, with executing flexibility having a stronger association than content flexibility. Yet, important conditions exist. The moderating analysis demonstrates that when asset specificity or environmental uncertainty is high, executing flexibility, not content flexibility, matters more to relationship quality. In contrast, when behavioral uncertainty is high, content flexibility, not executing flexibility, matters more to relationship quality. These findings suggest that contractual managers should incorporate executing flexibility into contracts more sufficiently, and the appropriate contractual flexibility should match with transaction attributes

    Barriers and facilitators of promoting work-related injury insurance in the construction industry: lessons from China

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    Work-related injury insurance (WRII) is essential for protecting workers’ rights and enhancing workplace safety, yet its promotion in construction faces challenges. This study investigates WRII adoption barriers and facilitators in China’s construction sector using a mixed-methods approach. Semi-structured interviews with 14 industry experts were conducted, followed by thematic analysis to identify key barriers. An analytic hierarchy process was then applied to prioritize these barriers. The findings reveal six main barriers: (1) cumbersome claim process, (2) incomplete law and regulation system, (3) weak right-protection awareness of construction workers, (4) weak legal consciousness of contractors, (5) unreasonable compensation treatment and fund management, and (6) difficulties in employment relationship identification. To address these challenges, the study proposes five targeted measures: (1) simplifying the claim process, (2) promulgating authoritative and detailed laws and regulations, (3) strengthening supervision and law enforcement, (4) strengthening advocacy, and (5) improving insurance compensation and fund management. These findings offer practical guidance for policymakers to enhance WRII effectiveness in China’s construction industry and provide insights applicable to other developing countries. Despite limitations related to expert judgment and sector focus, the study offers valuable recommendations for future research on cross-industry comparisons and digital solutions for WRII

    Exploring future scenarios for Latvia’s regional business incubators

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    The research demonstrates that since 2007, the business incubator programs administered by the Investment and Development Agency of Latvia (LIAA) have significantly boosted regional entrepreneurship in Latvia. These programs provide essential support to young entrepreneurs, promote employment, stimulate entrepreneurship, and enhance the quality of life in the regions. Additionally, they increase export capacity and tax revenues. In this period, business incubators have been operated by the state, universities and private companies. The research analyzed future scenarios for the further development of regional business incubators in Latvia. Using the Analytic Hierarchy Process (AHP) and expert assessments, the study considered Latvia’s economic and social goals and strategic directions for regional development, underscoring the critical role of business incubators in promoting regional entrepreneurship and societal well-being. The research explored the possibility of transferring the administration of regional incubators to private companies, universities, or municipalities, which could impact regional economic development. A detailed assessment of previous LIAA programs concluded that various organizations, including private companies and universities, could effectively manage regional business incubators, fostering innovation and new product creation

    Artificial intelligence (AI) for innovative products development

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    In today’s economic environment, where technological progress is rapid and product life cycles are getting shorter, companies not only need an innovative product development strategy but also an understanding of the factors that determine the success of new products in the market. One solution is the development of innovative products using artificial intelligence. This article aims to investigate how the integration of artificial intelligence affects the process of innovative product development. The article explores the concept of innovation and artificial intelligence, the link between these processes and classification models. A text analysis is carried out according to the developed research methodology. Based on the literature analysis, a popular model of innovative product development is selected. By integrating artificial intelligence into this model, various aspects of its application are examined, such as process automation, data analysis techniques and decision-making improvement. Links between the chosen model and the integration of artificial intelligence are found. A simulation approach is used to propose a structured model to assess the impact of AI on innovative product development. This approach helps to understand the relationships and interconnections between the results and the elements of the empirical study. At the end of the study, a simulation approach is carried out to test the proposed structured model. The paper concludes with conclusions and suggestions. Article in Lithuanian. Dirbtinio intelekto (DI) taikymas inovatyviems produktams kurti Santrauka Dabartinėje ekonominėje aplinkoje, kurioje technologinė pažanga vyksta labai sparčiai, o produktų gyvavimo ciklas trumpėja, įmonėms reikia ne tik inovatyvios produktų kūrimo strategijos, bet ir supratimo apie veiksnius, lemiančius naujų produktų sėkmę rinkoje. Vienas iš sprendimo būdų – inovatyvaus produkto kūrimas pasitelkiant dirbtinį intelektą. Šio straipsnio tikslas – ištirti kaip dirbtinio intelekto integravimas veikia inovatyvaus produkto kūrimo procesą. Straipsnyje analizuojama inovacijų ir dirbtinio intelekto samprata, sąsaja tarp šių procesų ir klasifikavimo modeliai. Remiantis sukurta tyrimo metodologija, atliekama mokslinės literatūros analizė, o pagal ją pasirenkamas populiarus inovatyvių produktų kūrimo modelis. Į šį modelį integruojant dirbtinį intelektą, nagrinėjami įvairūs jo pritaikymo aspektai, tokie kaip procesų automatizavimas, duomenų analizės metodai ir sprendimų priėmimo tobulinimas. Identifikuojamos sąsajos tarp pasirinkto modelio elementų ir dirbtinio intelekto integravimo galimybių. Siekdami pasiūlyti struktūruotą modelį, įvertinantį dirbtinio intelekto įtaką inovatyvių produktų kūrimo procesui, autoriai taiko modeliavimo metodą. Jis padeda suprasti empirinio tyrimo rezultatų ir elementų, ryšius bei sąsajas. Remiantis šiuo metodu, sukuriamas modelis. Tyrimo pabaigoje, norint patikrinti pasiūlytą struktūrizuotą modelį, taikomas simuliacijos metodas. Straipsnio pabaigoje pateiktos tyrimo išvados ir rekomendacijos. Reikšminiai žodžiai: dirbtinis intelektas, dirbtinio intelekto integravimas, inovacijų strategija, inovatyvus produktas, inovatyvus produktų kūrimas, simuliacijos metodas

    Multi-bus-line joint operation strategy of optimizing bus speed and intersection signal priority to minimize passengers waiting time

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    The rapid increase in the number of vehicles reduces the efficiency of transportation networks in modern big cities. Thus, minimizing passengers waiting time by bus has become an inevitable approach. Through intelligent bus systems and Dedicated Bus Lanes (DBLs), jointly optimizing bus speed and intersection signal priority has become a feasible research objective for multi-bus-lines. Moreover, the length of Beijing (China) DBLs will be 1020 km in 2022. Considering the requirements of the Beijing Bus Group, a problem model is formulated, including multi-bus-lines, time-varying passenger flow, bus-speed-control only on DBLs, and intersection signal control. In this study, the real-time framework of the multi-bus-line joint operation strategy with the Transformable Salp Swarm Algorithm (TSSA) is proposed. Moreover, the small optimization interval effectively reduces the impact of bus-speed-control inaccuracy and the errors between the joint optimization scheme and actual operation states. In the real-time framework, only the speed of the bus traveling on DBLs could be guided in the form of real-number speed, and this bus-speed scheme is safe. Additionally, the strategy could compensate for the travel time in the non-priority direction after buses pass through intersections, and this is effective to avoid traffic congestion. As the online optimization algorithm, TSSA simulates the grouping activity of salp swarms. Based on actual data from Beijing Bus Group, 6 test problems are constructed, and the joint operation strategy outperforms others. First published online 20 January 202

    WebGIS and land planning data management: a study of Hanoi University of Civil Engineering’s Campus 2

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    The use of WebGIS in urban land planning and management has become a global trend. A Web-GIS system was developed specifically for planning management at HUCE’s Campus 2. While not yet fully complete, the findings indicate that this system has provided substantial support to stakeholders, including local authorities, planners, and the broader community. Through efficient data management and analysis, the WebGIS system has facilitated timely monitoring and adjustments during the construction process, while also enabling comprehensive modifications to land planning. Additionally, its field interaction function gathers valuable information for detecting damages requiring repair and maintenance, along with updates on the status of areas where land use rights have not yet been transferred. Despite certain limitations, such as challenges in integrating 3D model data and enhancing public consultation methods, the incorporation of these research findings offers significant potential to improve the effectiveness of urban land planning and management in the future

    Design and experience: a typo-morphological case study of Maharishi Vāstu Architecture in Perú

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    Along with Feng Shui, Vedic architecture from ancient India (also referred to as Vāstu architecture by theorists and practitioners in the West) has become a design and construction approach of interest to architects in western countries. The most widely applied version of this approach is Maharishi Vāstu Architecture (MVA) as realized in not only hundreds of homes throughout the world, but also in the design of university campuses, commercial buildings and retreat communities in India, Japan, Netherlands and the U.S., as well as in the design of an entire city in Iowa. However, while applied in countries as diverse as Brazil, Ireland, Malaysia, Spain, Thailand and United Kingdom, this approach to architecture has not been the subject of detailed case study analysis. To rectify this situation, the present study investigates the application of MVA in Perú by examining not only the location, design and construction of two houses, but also the lived experiences of owner–occupants within them. The houses located in Cieneguilla and Pachacámac, the first two MVA urban developments in South America, were designed by this study’s second author, a Perúvian architect, and have been featured in arq: Architecture Research Quarterly, the preeminent architectural journal of Latin America. One house is oriented to the east, the other to the north; one is single story, the other two stories; one is a homage to tradition, the other more modern; and one includes local adobe materials, the other standard brick and render. However, both houses are consistent with the ancient Vedic precepts of architectural design (specifically the 3 × 3 Pīṭha diagram from the Mayamata) and the ancient Andean Chacana diagram. Results of lived experience from semi-structured interviews, consistent with findings from a previous international study of 158 MVA home–occupants, indicate that owner–occupants in Perú report increased health, vitality and good fortune, a range of practical benefits, and improved quality of life as a result of owning and living in an MVA-designed home

    Multi-criteria analysis of the Baltic banks from client attraction and profit generation perspectives

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    The economic and regulatory environment banks operate in poses challenges in regard to different facets of sustainability and requires proper managerial and technological innovations. Bank performance can be analysed from various viewpoints. Therefore, it is important to develop comprehensive frameworks for assessment of banking performance. The paper develops a twostage approach for measuring banking performance from the client attraction and profit generation perspectives. The multi-criteria framework involving three multi-criteria decision-making methods is developed to ensure robustness of the results. The empirical research deals with the 17 commercial banks operating in the three Baltic States. This case is interesting as it covers a low-interest-rate environment. While Lithuanian banks excelled in the client attraction perspective, the results for 2017–2021 suggest that they should focus on the improvement of performance in this regard and profit generation if compared to banks operating in Latvia and Estonia

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