Research Methodology Research Articles

Adaptation of the Teaching Engineering Self-Efficacy Scale to Turkish and Analysis of Science Teachers' Teaching Engineering Self-Efficacy Beliefs across Different Variables

The objective of this study was to adapt the Teaching Engineering Self-Efficacy Scale (TESS) to Turkish through comprehensive validity and reliability assessments and to analyze science teachers' (specializing in science, physics, chemistry, biology) Teaching Engineering Self-Efficacy (TES) beliefs concerning various variables. The study employed the TESS, originally developed by Yoon, Evans, and Strobel (2014), alongside a personal information form, and followed a descriptive survey model as its research methodology. The adapted TESS's validity and reliability were evaluated using data from 476 science teachers in schools under the Ministry of National Education (MNE) in X province, and the main study involved 221 science teachers from Y province. The assessment of teachers' TES beliefs in relation to different factors was executed using independent samples t-tests, One-Way ANOVA, and the Scheffe test. It revealed that science teachers' TES beliefs significantly varied based on factors such as their involvement in providing engineering education, the integration of engineering education into their teaching, and their specific teaching subjects, but not gender. The study contributes a valid and reliable scale to the academic literature.

Community Perspectives on the Environmental, Social, and Economic Impacts of the Tomohon International Flower Festival

Purpose: The purpose of this research is to evaluate the perceptions of the local community regarding the economic, socio-cultural, and environmental impacts of the Tomohon International Flower Festival (TIFF). Specifically, the study aims to understand how the residents of Tomohon view the festival's contributions to their economic well-being, social cohesion, cultural preservation, and environmental sustainability. Research methodology: This research used an exploratory approach to analyse residents' perceptions of the economic, socio-cultural, and environmental impacts of festival activities in Tomohon. Results: The results of the research indicate that the Tomohon International Flower Festival (TIFF) is perceived positively by the local community across several dimensions. Economically, TIFF is seen as a significant contributor to local income, job creation, and regional revenue. Socio-culturally, the festival enhances social interactions, fosters cultural pride, and supports cultural and educational development. However, the community also expressed concerns about environmental sustainability, particularly regarding waste generation and its negative impact on the city’s aesthetics. Limitations: The data gathered reflects the views of the respondents at a specific point in time and may be influenced by personal experiences, biases, or limited knowledge about broader economic, socio-cultural, and environmental factors. Additionally, the sample size, though sufficient for exploratory analysis, may not be fully representative of the entire Tomohon population, potentially limiting the generalizability of the findings. Contribution: This article contributes to the broader understanding of the socio-economic and environmental impacts of large-scale cultural events like the Tomohon International Flower Festival (TIFF) from the perspective of local communities. This research also serves as a guide for event organizers and policymakers in optimizing the benefits of festivals while addressing community concerns, thereby promoting more sustainable and inclusive event planning.

Perancangan Tata Letak Fasilitas Kaos V-Neck untuk Peningkatan Daya Saing

Purpose: The purpose of this study was to address the numerous complaints received by PTRT management concerning the production process of V-Neck t-shirts in six divisions during 2023. The goal was to redesign the layout, particularly the process-oriented layout, to improve the efficiency and reduce operational costs. Research Methodology: The management employed a quantitative approach to redesign the layout. The analysis involved calculating and comparing the total number of movements in the production process before and after the redesign. The methodology focused on reducing the number of movements required to enhance the efficiency. Results: The redesigned layout resulted in a reduction of 300 movements per week, equating to a 1.8% decrease from the initial total of 16,800 to 16,500 movements. This reduction also led to a corresponding decrease in the cost of movement, thereby reducing Rp. Three hundred per week, a 1.8% reduction in costs. Limitations: The study is limited by the scope of data, which is specific to the production of V-Neck t-shirts in 2023 within the six divisions. The results may not be generalizable to other products or time periods, and the analysis focused solely on movement efficiency without considering other potential factors, such as employee productivity or material flow. Contribution: The redesign of the layout contributes to the overall competitiveness of PTRT management by streamlining the production process, reducing costs, and potentially minimizing complaints related to the production of V-neck t-shirts. This process-oriented approach to layout design can serve as a model for future improvement in other production areas.

A Systematic Review of Flipped Learning in EFL Education

Research on flipped learning in English as a Foreign Language (EFL) education has garnered substantial scholarly attention in recent years. This systematic review aims to elucidate the potential of flipped learning within the framework of foreign language education. A total of thirty articles from Social Science Citation Index (SSCI) journals, published between 2018 and 2022, were included in this review based on predetermined inclusion and exclusion criteria. The analysis focused on examining the research contexts, methodologies and foci, learning management systems, learning theories, and learning activities. The findings indicate that the majority of studies predominantly involved higher education students, with a significant number employing a quasi-experimental research design. Furthermore, the flipped learning process was largely informed by constructivist learning theory. The results suggest that the primary advantage of flipped learning lies in its capacity to enhance students' writing, speaking, and overall academic performance. Additionally, the review underscores that the integration of emerging technologies, such as augmented reality, automatic recognition, and artificial intelligence chatbots, into learning activities serves as an effective strategy for improving students' language skills and engagement.

Mapping coastal resilience: a Gis-based Bayesian network approach to coastal hazard identification for Queensland’s dynamic shorelines

Coastal regions worldwide face increasing threats from climate change-induced hazards, necessitating more accurate and comprehensive vulnerability assessment tools. This study introduces an innovative approach to coastal vulnerability assessment by integrating Bayesian Networks (BN) with the modern coastal vulnerability (CV) framework. The resulting BN-CV model was applied to Queensland's coastal regions, with a particular focus on tide-modified and tide-dominated beaches, which constitute over 85% of the studied area. The research methodology involved beach classification based on morphodynamic characteristics, spatial subdivision of Queensland's coast into 78 sections, and the application of the BN-CV model to analyze interactions between geomorphological features and oceanic dynamics. This approach achieved over 90% accuracy in correlating beach types with vulnerability factors, significantly outperforming traditional CVI applications. Key findings include the identification of vulnerability hotspots and the creation of detailed exposure and sensitivity maps for Gold Coast City, Redland City, Brisbane City, and the Sunshine Coast Regional area. The study revealed spatial variability in coastal vulnerability, providing crucial insights for targeted management strategies. The BN-CV model demonstrates superior precision and customization capabilities, offering a more nuanced understanding of coastal vulnerability in regions with diverse beach typologies. This research advocates for the adoption of the BN-CV approach to inform tailored coastal planning and management strategies, emphasizing the need for regular reassessments and sustained stakeholder engagement to build resilience against climate change impacts.Recommendations include prioritizing adaptive infrastructure in high-exposure areas like the Gold Coast, enhancing flood management in Brisbane, improving socio-economic adaptive capacity in Redland, and maintaining natural defences in Moreton Bay. This study contributes significantly to the field of coastal risk management, providing a robust tool for policymakers and coastal managers to develop more effective strategies for building coastal resilience in the face of climate change.

Individual Participant Data Meta-Analysis: Individual Differences in Mediators of Parenting Program Effects on Disruptive Behavior.

Although parenting programs are the most widely used approach to reduce children's disruptive behavior, there is a notable lack of understanding of the exact changes in parenting that underlie their effects. Challenges include the frequent use of composite measures of parenting behavior, and insufficient power to detect mediation effects and individual differences in these in individual trials. We pooled individual participant data from 14 European randomized controlled trials of social learning-based parenting programs to examine which specific parenting behaviors best explain program effects. Participants were 3,252 families with children aged 1 to 13 years. As putative mediators, we included parental use of praise, tangible rewards, physical discipline, harsh verbal discipline, and not following through on discipline. Additionally, we explored whether subgroups of families showing different mediational pathways exist. Changes in parenting partially mediated program effects, with all included parenting behaviors, except parental use of praise, serving as unique mediators. Less harsh verbal discipline and increased following through on discipline were the strongest mediators. We identified three subgroups with distinct responses to parenting programs. Most families benefited, partly through increased following through on discipline; those with the least or most difficulties were more likely to benefit less, or not at all. Our findings offer insight into the specific parenting behavior changes key to reducing disruptive child behavior, while highlighting the need for innovative research methodologies to gain a deeper understanding of individual differences in parenting program benefits and mechanisms.

Collaborative climate labs: A youth-led methodology for co-creating community responses to climate change

This article presents the Collaborative Climate Laboratories (CiCli-Labs), a participatory research methodology that bridges citizenship, science and politics. This methodology is grounded on young people’s knowledge and experience about their communities and seeks to develop a strategy for co-designing climate solutions with local stakeholders. Carried out in schools, the CiCli-Labs engage scientists, activists, business owners, and politicians in discussing climate problems identified by young people. By bringing together different positionalities that emerge from people’s diverse social roles, the CiCli-Labs aim to foster conditions for democratic citizenship and climate justice, embracing the necessarily conflicting yet binding dimensions of politics that can produce transformative and reciprocal learning. Additionally, it responds to the growing demand within educational research for community-based approaches capable of tackling the shortcomings in promoting youth agentic power in participatory designs, often marked by one-off events and youth-washing practices. The CiCli-Labs’ methodology builds on community profiling, through which students identify climate-related issues that work as catalysts for broader dialogues with local actors, challenging traditional adult-centric power dynamics. The methodology evolves through a sequential design based on the adaptation of participatory tools and methods: i) Climate Problem Tree; ii) Climate Social Cartography; iii) Pros-and-Cons Circuit; iv) Solutions Funnel; v) Climate Speed Dating; vi) Hands on Earth and Eyes on Clouds. The methodology was implemented in eight schools in northern Portugal, involving more than 300 students (grades 8 to 12). We discuss the rationale and practicality of the CiCli-Labs while mobilising empirical illustrations of the methodological process and participants’ perceptions about it, thereby contributing to furthering the problematisation of democratic research practices with young people.

How Much Participation Is Participatory? Opportunities and Challenges of Doing Participatory Action Research With Latin American teachers.

This paper provides a detailed account of a participatory action research project carried out with trainee teachers in Chile. Two participant cohorts embarked upon a research study seeking to identify instances of violence and exclusion in their classrooms. Such exploration was conducted through a series of participatory workshops that explored the link between violence and inequality, as well as how nonviolent approaches might assist in fostering more inclusive learning environments. Both participatory action research (PAR) and workshops as a research methodology constitute novel approaches within the Chilean context, where a large number of studies interrogating issues of inequality and classroom violence are of a descriptive rather than empirical nature. Consequently, this paper gives a rationale for using PAR in the first place, then provides a detailed account of how each iteration was designed, the changes that were made in between and the degree of participation achieved with each cohort. Further, the paper makes an argument for a wider use of PAR as a method that strives for social justice and equity in education, while at the same time exploring its advantages, common critiques, and the challenges encountered during the study. Finally, and in light of what transpired in this study, this paper posits that workshops constitute a sustainable participatory research method that provides space for collaboration, creativity, and self-inquiry, while considering several improvements and modifications for future studies.

The collapse of Silicon Valley Bank and hedging strategies for interest rate risk

Research methodology This case was developed from published sources. Three types of data were used to develop this case. The accounting data were compiled by the case researcher from bank financial statements such as Form 10-K, Form 8-K and quarterly Financial Highlights issued by the bank. Market data were compiled from data providers such as FactSet, Yahoo! Finance, Pitchbook and the Federal Reserve System. Reports on market developments were gathered from major news outlets such as CNBC, The Wall Street Journal, Fortune and S&P Global. Case overview/synopsis Interest rate risk played a big role in the banking crisis of 2023. For Silicon Valley Bank (SVB), which specialized in providing banking services to venture-backed startups in the technology and life sciences sectors, its exposure to interest rate risk and the lack of hedging against interest rate risk had played a crucial role both directly and indirectly in the bank’s failure. This case study discussed the various channels that interest rate risk played in SVB’s failure as well as other risk factors that include an unusually high percentage of uninsured deposits and a high securities-to-asset ratio compared to its industry peers. In the low interest rate years of 2020 and 2021, startups were able to fundraise a record amount of funding from venture capital (VC) investors. As many startups deposited their funds at SVB, they became an important and concentrated depositor base for the bank and held large deposit accounts that easily exceeded the $250,000 limit insurable by the Federal Deposit Insurance Corporation. SVB benefited from the large deposit inflows in 2020 and 2021. The bank used some of the deposits to fund its loan portfolio, but most of the deposits were used to purchase debt securities such as US Treasuries and agency-used mortgage-backed securities. In fact, SVB’s investments in securities as a percentage of total assets were more than double its peers in the large banking organization (LBO) group, while the amount of loans funded as a percentage of total assets was almost half of its LBO peers. As interest rates increased rapidly throughout 2022, bond prices fell. SVB experienced unrealized losses of $15.2bn in its held-to-maturity securities portfolio, which was almost equivalent to its equity of $16bn at the time. However, SVB implemented little or no hedging against the risk of rising interest rates. At the same time, fundraising activities slowed in the VC sector amid high interest rates and, thus, SVB’s startups clients had to draw on past deposits to continue to fund their operations. This resulted in SVB experiencing significant deposit outflows throughout 2022. On March 8, 2023, SVB announced that it had sold all $21bn of its available-for-sale securities portfolio and suffered an $1.8bn in realized losses, which was greater than its entire last year’s net income. Markets jittered following the news. Over the next two days, depositors rushed to withdraw $142bn of deposits that represented 82% of its last year’s total deposits. Unable to withstand the crippling weight of deposit withdrawal, on March 10 the parent company of SVB filed for bankruptcy. Complexity and academic level Given the multiplexity of the banking crisis of 2023, this case study specifically discussed the collapse of SVB, which was the second largest bank failure at the time of its collapse. This case would be valuable for finance and economics students to learn how various risk factors interact that precipitated SVB’s failure. While there were many risk factors at play, this case study homes in on how SVB’s exposure to interest rate risk and the lack of hedging contributed to its downfall. For purpose of pedagogy, this case also explains how a bank could use on-balance-sheet as well as off-balance-sheet methods to hedge interest rate risk. This case is appropriate for courses in Risk Management, Derivatives as well as Financial Markets and Institutions with a focus on interest rate risk and its corresponding hedging methods. A course in Money and Banking may also find this case relevant. Before starting, it is assumed that students have already taken foundational finance and macroeconomics courses, have a basic understanding of financial statement analysis and its interpretations, derivative instruments such as futures and swaps, as well as have prior experience with basic duration calculations.

AI in Scientific Research: Empowering Researchers with Intelligent Tools

This article explores the transformative impact of artificial intelligence (AI) on scientific research across various disciplines. It examines how AI-driven tools are revolutionizing data analysis, simulation, and hypothesis generation, particularly in fields such as genomics, climate science, and materials science. The article discusses the acceleration of discovery processes through AI, highlighting its role in enabling sophisticated analysis of complex datasets, developing predictive models, and facilitating automated experimentation. Ethical considerations, including the need for transparency and reproducibility in AI-assisted research, are addressed. The synergy between human creativity and AI capabilities is explored, emphasizing how AI augments human ingenuity and fosters interdisciplinary collaboration. Case studies illustrate successful implementations of AI in scientific inquiry, demonstrating its potential to enhance research methodologies and outcomes. The article also looks ahead to the prospects of AI in scientific research, considering emerging technologies and the evolving role of AI in the scientific process. By providing a comprehensive overview of AI's current applications and future potential in scientific research, this article underscores the pivotal role of AI in advancing scientific knowledge and addressing complex global challenges.

Community-led urban transformation project as transdisciplinary approach: Case of Senboku Hottokenai Network Project

This study examined the community-led urban transformation project as a transdisciplinary approach in Senboku New Town (Senboku-NT). The research method employed a combination of case study and action research methodologies. In Senboku-NT, the population declined from approximately 170,000 to 115,000, and older adults account for 37.1% of the total population. The demographic change made it difficult for older people to live in Senboku-NT. Due to regional problems, local communities began to explore community-led urban transformation projects. The “Senboku Hottokenai Network Project” is a project in which vacant building stocks were gradually transformed into neighborhood healthcare facilities, including supportive housing for older people, a group home for people with disabilities, and a community restaurant. The urban transformations of the Senboku Hottokenai Network Project may have triggered those in the entire Senboku NT. Our main conclusions indicate the effectiveness of community-led urban transformation projects in old New Towns. The results of this study shed new light on the importance of community-led co-creation among multiple stakeholders as transdisciplinary projects toward the Healthy New Town. Our insight provides the need to implement a new movement program to extend the urban transformation project for the Healthy New Town to other old New Towns in East Asia.

Factors Affecting Intention to Make Purchasing Through E-Commerce in Indonesia

Electronic commerce, or "e-commerce," is the term used to describe all sales and purchases made using electronic media, mostly websites and applications. With the growth of digital interactions, it is more important than ever to understand the subtleties of e-commerce purchasings. With an emphasis on Indonesia, where online purchase is becoming more and more popular, this study attempts to pinpoint the critical factors that affect customers' decision to interact with e-commerce platforms. This study looks at the variables impacting customer behaviour in the platforms using a quantitative research methodology. The results, which cover social risk, financial risk, product risk, and social impact, are important components. When it comes to purchasing, trust is an important consideration, especially in a market where worries about online fraud are prevalent. Furthermore, studies show that an easy-to-use interface increases the probability that customers will make a purchase since it promotes trust and contentment. The variety of products offered and the allure of pricing packages impact customer decisions as well, highlighting the necessity for e-commerce suppliers to adopt a holistic strategy. The research provides an overview of Indonesia's e-commerce scene and makes suggestions for merchants looking to improve consumer happiness and build a strong online presence

Tren Pariwisata Backpacker di Asia Tenggara

The backpacker tourism trend in Southeast Asia has grown rapidly in the past few decades, with Thailand becoming one of the top destinations for budget travelers. This study aims to identify the factors that make Thailand a favorite destination for backpackers in the region. The research methodology involves literature analysis, interviews with backpackers, and tourism statistics. The results show that the combination of natural beauty, cultural diversity, affordable cost of living, good tourism infrastructure, and easy access to various attractions are the main factors that attract backpackers. In addition, Thailand's image as a friendly, safe, and open country for foreign tourists also contributes to its popularity. The study also compares Thailand with its neighboring countries such as Vietnam, Cambodia, and Indonesia to understand Thailand's competitive advantages. The findings provide insights for the government and tourism industry players in developing sustainable strategies to maintain and enhance the attractiveness of the destination for the backpacker tourist segment

Indigenous Food System During Monsoon in the Context of India

India, the monsoon season is a culinary spectacle where ancient food traditions, intricately woven through generations, come to life. This period highlights the diverse indigenous food systems, which hold both cultural and ethnic significance, alongside their nutritional value. The monsoon's arrival transforms the culinary landscape, ushering in a vibrant array of flavors and dishes. Indian cuisine shares a symbiotic relationship with the monsoon. The use of indigenous spices not only enhances the taste but also offers antibacterial and antiviral properties, bolstering immunity against seasonal ailments. This season's dynamic platter invites a deeper appreciation for indigenous delicacies like the Maharashtrian 'Vagheteyachi bhaji' and the Indigenous agrarian communities of Chattisgarh celebrating 'Hareli' with medicinal brews of herbs and roots. Even festivals like Janmashtami see unique monsoon-centric dishes like 'Alvati' grace the table. The title of our research project acts as a portal into the intriguing world of culinary choices and practices across diverse Indian communities. Through this endeavor, we aim to unravel the impact of the monsoon on food and health, with a special emphasis on promoting and preserving ancient food practices. The Millet Revolution in India adds another dimension to our exploration. Millets, being resilient crops that thrive in diverse climatic conditions, have gained recognition for their nutritional benefits and suitability for monsoon cultivation. Our research delves into the scientific and religious rationales behind consuming various indigenous foods during different seasons, including those that are avoided to prevent seasonal illnesses. We evaluate governmental initiatives aimed at supporting small-scale farming institutes responsible for producing monsoon seasonal foods. Our research methodology combines primary data collection through questionnaires and community conversations, supplemented by secondary data from official statistics provided by the Government of India on the production of various indigenous food species.

Driving Digitalization: Action Research to Innovate Pronunciation Pedagogies by Building a Virtual Voice Laboratory

This paper explores the potential of digitalization in supporting English as a Second Language (ESL) students' development of pronunciation skills through a parallel action research. The author created a Virtual Voice Laboratory (VVL) platform to innovate pronunciation pedagogies in higher education; and simultaneously conducted an ongoing action research study to examine three research questions. The questions examined the efficacy of the VVL in facilitating blended learning, self-directed practice, and self-evaluation within a pronunciation course, and its impact on student engagement, participation, and pronunciation skill development. This VVL as a tailormade digital platform was implemented with undergraduate ESL students in Hong Kong's higher education context. It enabled blended learning, wherein students engaged with the mechanics and articulatory movements essential for improving English pronunciation through self-directed practice using the VVL. Adopting an action research methodology, the study investigated the process of implementing digitalization and blended learning strategies. This was achieved through the analysis of student recordings, sound chart comparisons, and qualitative-quantitative feedback collected during a pilot study. The findings reveal nuances of student experiences, their learning trajectories, and the results from the pilot study, illuminating the impacts and outcomes facilitated by the e-learning approach. The research holds valuable implications for integrating digitalization and blended learning in language education, contributing to the ongoing scholarly dialogue on the transformative potential of technology-mediated approaches in fostering dynamic and impactful learning experiences for diverse student populations.

Evaluating pedagogical approaches to enhance students’ comprehension in maritime English: The Norwegian case

This study aims to test and evaluate various pedagogical strategies that can improve students’ comprehension of Maritime English course materials and help them confidently participate in English-based assessments. A comparative research methodology was employed, focusing on integrating specific strategies and tools into the curricula of maritime programs. The study focused on the Norwegian case at NTNU in Ålesund, featuring a 3-year Shipping Management program (Bachelor’s degree) with 45-60 students. The findings from the Norwegian case demonstrate a significant improvement in students’ willingness and ability to engage in English-language assessments, highlighting the effectiveness of the pedagogical approaches implemented. The study results align with existing literature, highlighting the need for continuous innovation in pedagogical approaches to Maritime English education. By the end of the course, 72.2% of students felt comfortable taking the exam in English, compared to only 25.8% at the beginning of the semester. Weekly lectures in English with presentations were identified as the most helpful tool, followed by group work, homework, and vocabulary lists. The use of digital interaction and software tools received a high score – 8.0 out of 10.0. The significant improvement in students’ confidence in English, along with their strong overall ratings of teaching tools, demonstrates the effectiveness of these methods in overcoming initial language barriers. Further recommendations include combining traditional teaching methods with modern digital tools to enhance learning outcomes. By focusing on student-centered approaches and integrating both traditional techniques and technological tools, institutions can foster the development of a more proficient maritime workforce.

Embracing methodological evolution and diversity in logistics and supply chain management research

PurposeThe purpose of this research is to highlight the significance of advancing research methodologies in logistics, operations and supply chain management. It seeks to expand the scope of research questions and explore areas previously constrained by traditional methodological approaches, thereby enhancing the exploration of complex, real-world business issues.Design/methodology/approachThis commentary introduces and discusses the special issue on “Advances in Research Methodologies for Logistics and Supply Chain Management,” exploring methodological innovations, diversity and their potential to address complex business and disciplinary challenges. The commentary assesses a broad spectrum of methodologies, ranging from traditional qualitative and quantitative approaches to overlooked methods such as qualitative comparative analysis, netnography, design science, Bayesian networks, machine learning and repertory grid technique. This diverse methodological approach enables a comprehensive examination of emerging and ongoing challenges in the supply chain. In the final summary section, we highlight additional areas of research method innovation not covered in this special issue, offering a broader perspective on future directions for methodological advancements in SCM research.FindingsThe findings suggest that integrating less explored methodologies from various disciplines encourages a richer, multi-level analysis of the supply chain management landscape. This integration facilitates a deeper understanding of emerging challenges, such as geopolitical issues, global supply chain disruptions and the integration of new technologies. Additionally, the exploration of ‘white space' in research methodologies indicates significant potential for discovering new insights that bridge practical problems with theoretical contributions.Originality/valueThe value of this methodological diversity extends beyond academic enrichment. It catalyzes the generation of innovative insights crucial for business practitioners, policymakers, consultants and academics. By adopting varied research designs and methodologies, the research note can offer a broader spectrum of analytical perspectives, crucial for uncovering nuanced insights into complex, cross-cultural and relationship-based dynamics in supply chain research.

The influence of unconventional monetary policy tools: an euro area perspective

Purpose – This article aims to investigate the influence of unconventional monetary policy tools (UMPTs) employed by the European Central Bank (ECB) on the inflation rate and GDP growth rate within the euro area, motivated by the principles of the Taylor rule. Research methodology – Elastic net regression with ARIMA residuals was used to analyse the relationship between UMPTs and economic indicators, measured by adjusted R-squared. Six samples were constructed, and hypothesis testing was performed using moving block bootstrapping. Residual diagnostics were used for model validation. Findings – The study revealed significant impacts of UMPTs, particularly in combination with interest rates, on inflation rates. However, adjusted R-square values for GDP growth rate were less pronounced, indicating a more complex relationship. Research contributes to understanding the dynamics of monetary policy transmission mechanisms, informing policy institutions, and guiding future research directions. Research limitations – Limitations include the focus on the euro area and the absence of analysis in other major economies. Future research should address these limitations and incorporate additional variables for a more comprehensive analysis. Practical implications – The findings provide insight for policymakers regarding the efficacy of UMPTs in influencing inflation rates, aiding in informed decision-making in monetary policy formulation and implementation. Originality/Value – This study contributes novelty by comprehensively analysing the relationship between UMPTs and economic indicators within the euro area, providing valuable insight into monetary policy institutions, and guiding future research directions.

Generation Y and the Shift to Electric Vehicles in Indonesia: Exploring Key Drivers and Barriers

Purpose: Compared With other Asian countries, the usage rate of electric vehicles in Indonesia remains slow owing to a lack of public interest. This paper explores some significant factors that affect the interest of electric vehicles for Gen Y EV products, including environmental concerns and individual consequences. Research Methodology: We extend the previous study by adding other variables, including individual and environmental consequences. Data from 446 respondents were collected through a judgmental sampling procedure and analyzed using partial least squares structural equation Modeling. Results: The results showed that attitudes towards the five dimensions of the UTAUT-2 model significantly influenced intention to purchase. However, attitude did not mediate the relationship between habit and purchase intention. On the other hand, attitude mediation vastly influences not only the association between individual consequences and purchase intention, but also that between environmental concerns and purchase intention. On the other hand, subjective norms also have a positive influence on purchase intention, while perceived risk is not considered to affect the purchasing decisions of Generation Y. Recommendation: This study recommends that both electric vehicle manufacturers and the Indonesian government improve infrastructure and raise public awareness to increase interest in electric vehicles.

Sustainable development of the Republic of Bashkortostan of the Russian Federation: current state and prospects

The issues and prospects of sustainable development of the Republic of Bashkortostan with a focus on innovation aspects have been considered in order to develop recommendations to ensure the long-term progress of the region. The research methodology is based on the analysis and comparison of economic, social, and environmental factors of sustainable development, assessment of the role of innovation in each sphere, study of successes and experience of other constituent entities of the Russian Federation and foreign countries, as well as on the proposals for creating regional centers for assessing and monitoring sustainable development that in their activities will be focused on comprehensive research in regional socio-economic systems, considering the innovation component. The main spheres and components of ensuring sustainable development of the region have been defined and presented. The main study results are: identification of key aspects of sustainable development of the Republic of Bashkortostan; identification of issues and prospects in developing the economy and social and environmental spheres; analysis of the role of innovation in ensuring sustainable development; recommendations development for creating regional centers for assessing and monitoring sustainable development. Sustainable development of the territory is one of the main strategic objectives of the constituent entity. In order to achieve it, it is necessary to continue the work, as well as to increase attention to innovations, education and management systems. The centers creation can contribute to the system analysis and assessment of sustainable development processes, as well as the development of recommendations and strategies to improve the economic, social, and environmental condition of the territory.