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Blockchain is a popular technology that has found itself as the proposed solution to a variety of technological problems. In the case of voting machines, blockchain seems to show promise based on its unique attributes of immutability and decentralization. Reviewing the state of current voting machines, there is a displayed lack of support for direct-recording electronic (DRE) voting machines in the general population due to the many controversies. By looking into the functionality of proposed blockchain systems and creating an implementation to test the functionality of a blockchain voting system while taking the data on voting machines into consideration, it can be concluded that the best solution would be to combine scanned paper ballots with a blockchain system.

The invention and continual growth of artificial intelligence (AI) on the global stage have significantly shaped the world’s economies, governments, societies and their cultures. The new industrial revolution and the subsequent race of the world’s leading powers have led to increased international joint efforts and exchange of information, simultaneously reducing barriers to trade and communication. Meanwhile, emerging technologies deploying AI have led to changes in human behavior and culture and challenged the traditional nation-state model. Although several implications of the proliferation of AI remain unknown, its widening application may be tied with accelerating globalization, referred to interchangeably as global expansion. This proposal will further investigate and support how the development of artificial intelligence is propelling globalization, challenging dissenting theories.

This study includes an examination of the effect of the Coronavirus (COVID-19) pandemic on electronic payment apps. Ever since the pandemic caused a global shutdown, the banking industry was forced to adjust their usual operations and adopt new technological advancements that would allow for contactless payment. Consumers, worried about contracting the virus through the physical exchange of currency, resorted to utilizing payment apps. This contributed to the increase in electronic payment usage. This research addresses the effect of COVID-19 on three different electronic payment apps, Venmo, PayPal, and Zelle. A comparative longitudinal analysis shows the increase in total transactions from each app through secondary data. This study includes a regression analysis of the relationship between total payment volume (TPV) and time, as well as a forecast of future app usage.

Climate change is an environmental problem with catastrophic ecological, economic, social, and political impacts. The dramatic scale of the problem has appropriately earned it the name of “climate crisis.” As a protracted crisis, climate change will dominate national and international agendas while transforming institutional politics. Conflicts within policy communities, new interest alignments, social pressure on governments, and ecological collapse could conceivably transform the norms and institutions through which economics, policy, and politics are conducted. Nowhere is this clearer than the energy sector, which is responsible for most greenhouse gas emissions and wherein massive institutional shifts are just beginning to occur. This research project begins and concludes with the notion that the climate crisis is one of the primary transformations of our time. As countries central to global energy politics, China and the United Arab Emirates offer insight into how various regimes may respond to the energy-climate imperatives of the twenty-first century.

The Luis Zambrano National Award for Popular Technological Inventiveness is part of one of the three categories of the National Science and Technology Award; highest award granted to the Venezuelan State in recognition of the trajectory through the Ministry of Popular Power for Science and Technology to the highest representations of research development and the inventive and creative capacity of Venezuelan researchers and technologists. The following work allows us to give a historical look at the trajectory that undertakes various challenges from 2001 to the present; establishing detailed connection of historical data, unpublished data information collected and managed from the secretariat; hence the importance of making visible the systematization of the documentary history of this category of the National Award as a perspective that contributes to consolidating science and technology; as a public good with a view to the development of the nation., El Premio Nacional a la Inventiva Tecnológica Popular Luis Zambrano forma parte de una de las tres categorías del Premio Nacional de Ciencia y Tecnología; máximo galardón que otorga el Estado venezolano al reconocimiento de la trayectoria a través del Ministerio del Poder Popular para la Ciencia y la Tecnología a la máximas representaciones de desarrollo de la investigación y la capacidad inventiva y creadora de investigadores, y tecnólogos venezolanos. El siguiente trabajo permite dar una mirada histórica de la trayectoria que emprende varios desafíos desde 2001 hasta la actualidad ; estableciendo conexión detallada de datos históricos, información de datos inéditos recopilados y manejados desde la secretaría; de allí la importancia de visibilizar la sistematización de la historia documental de esta categoría del Premio Nacional como una perspectiva que tributa a consolidar la ciencia y la tecnología; como un bien público con miras al desarrollo de la nación.

In-destination tours and activities multisided platforms (T&A MSP) are growing ventures at the forefront of digitalizing tour and activity sector. While these platforms are transforming this sector, understanding of their business models and how they create, deliver and capture value is limited. To address this gap, we developed a morphological matrix to facilitate alternative business model exploration and discovery. Derived from three iterations, this visually represents and describes the characteristics of T&A MSP business models. Utilizing this tool, T&A MSP can evaluate and make transformative adjustments to their business models, thereby enhancing performance, adapting to evolving tourists’ preferences and generating greater value.

By offering a delightful experience, role-playing games (RPGs) have attracted many players. However, their development has been challenged by issues such as the emergence of online/mobile games and the proliferation of pirate copies. Therefore, RPG developers should consider different strategies to sustain the RPG series. We conducted a case study on “Chinese Paladin,” an RPG series that has been successful for over two decades in the Greater China region. We identified four strategies for an RPG to sustain itself and develop into a brand, namely (1) timeline-moving strategy, (2) crossover strategy, (3) sublimation strategy, and (4) cross-media strategy. We also highlighted some theoretical and potential implications related to RPG and information systems (IS) brand development.

The aim of this thesis is to explore the transnational trade in cyberweapons through four comprehensive case studies, particularly focusing on elucidating the roles of semi-state and non-state actors in the trade of spyware and zero-days. Through this analysis, this study seeks to contribute to a deeper understanding of contemporary security challenges and their implications for major international relations theories, particularly in relation to the security dilemma within the cyber domain. This study’s qualitative research design is grounded in the ontological stance of reflectivity and relativism, along with the epistemological assumptions of interpretivism/constructivism. To enhance the credibility, understanding, and applicability of this thesis, the researcher employs purposeful sampling. The research methodology involves a comprehensive case study approach to explore the roles played by semi-state and non-state actors in the transnational trade in cyberweapons. Furthermore, four specific instances are selected to serve as in-depth case studies. The empirical findings from both the comprehensive case study and the four selected case studies are used to explore how the roles of semi-state and non-state actors in the transnational trade in cyberweapons challenge the standing assumptions of security dilemma theory. The primary method of data collection in this research project consists of online desk research to gather secondary textual data sources. This thesis also utilises thematic analysis as its qualitative data analysis method. This thesis analyses the transnational trade in cyberweapons, delineating it into two distinct spheres: the spyware trade and the trade in zero-days. In the spyware trade, both semi-state and non-state actors play pivotal roles in facilitating the commercialisation and proliferation of surveillance technologies and spyware tools, while also contributing to the secretive and partially regulated nature of this trade. In the trade in zer

Provides access to information resources on societal impacts of artificial intelligence from multiple libraries databases covering multiple disciplines including government information resources.

Semiconductors play a major role in U.S. and international economic activity and in national security policymaking. They are tiny electronic devices based primarily on silicon or germanium, facilitating multiple industrial activities including systems foundational to U.S. technological competitiveness and national security. This industry is a key U.S. exporter with this product’s design and manufacturing being a global enterprise with design, fabrication, assembly, testing, and packing distributed globally. Semiconductors are essential building blocks for emerging technologies including artificial intelligence, autonomous systems, 5 G communications, and quantum computing. This article aspires to inform librarians and others about governmental and commercial literature produced on this subject. It aspires to enhance understanding of this topic and its intersections with economics, consumer goods, technology politics, and international security.

Copper demand will surge significantly in the context of global renewable energy technology implementation, but its production is an energy-intensive process. It is crucial to choose the best production method to reduce environmental damage in terms of the enormous copper supply. This research develops a multi-criteria life cycle assessment model for the three main copper production routes- pyrometallurgy, hydrometallurgy, and bioleaching. We complied material and energy flow data to assess each route's life cycle greenhouse gas (GHG) emissions, cost, and resource efficiency. Results indicate bioleaching emits the least GHG emissions (4.09 kg-CO2 eq/kg copper) among the three routes. Hydrometallurgy is the most economical production route, costing the least $3.25/kg copper. Nevertheless, either hydrometallurgy or bioleaching will cause a certain amount of resource waste because of uncertain resource efficiency (75%-95%). On the contrary, pyrometallurgy presents the highest copper recovery rate (>98%). This work provides a framework for the decision-making of copper production from the life cycle perspective.

Semiconductors play a major role in U.S. and international economic activity and in national security policymaking. They are tiny electronic devices based primarily on silicon or germanium, facilitating multiple industrial activities including systems foundational to U.S. technological competitiveness and national security. This industry is a key U.S. exporter with this product’s design and manufacturing being a global enterprise with design, fabrication, assembly, testing, and packing distributed globally. Semiconductors are essential building blocks for emerging technologies including artificial intelligence, autonomous systems, 5 G communications, and quantum computing. This article aspires to inform librarians and others about governmental and commercial literature produced on this subject. It aspires to enhance understanding of this topic and its intersections with economics, consumer goods, technology politics, and international security.

The increasing popularity of blockchain technology (BCT) has spurred interest in its potential to rejuvenate the digital advertising ecosystem. Due to its transparency, decentralization, and immutability, BCT offers the potential for customer-oriented, secure, and open platforms that might improve interactions between consumers and businesses. This article investigates applications of BCT in digital advertising and develops an integrative framework to classify innovations at this intersection. With a systematic literature review and Delphi study, the authors examine ten relevant use cases and compile qualitative and quantitative data on the expected probability of realization, expected impact on the industry, desirability of occurrence, and market establishment duration. The results reveal organizational activity theory–informed areas of innovation and provide useful insights for managers, researchers, and policy makers. Managers should focus on contextual innovations such as rewarding web users for web interactions, rewarding content creators for their contributions, and ensuring user data security as the most relevant potential applications. Boundary innovations require a better understanding before deploying solutions aimed at increasing advertising supply chain transparency, mitigating fraud, and verifying content. For domain-based innovation areas, researchers must rethink their foundations. Finally, the authors propose a detailed research agenda.

Although service providers increasingly adopt social robots, much remains to be learned about what influences customers' experiences with robots. To address this issue, this study investigates the relationships among customer equity drivers (i.e., value equity, brand equity and relationship equity), trust in social robots, and trust in service providers. Specifically, we hypothesize that customer equity drivers influence trust in social robots and trust in service providers. We also propose that customer equity drivers influence customer experience quality in the context of social robots and that trust in social robots and trust in service providers mediate these relationships. The study used a two-stage hybrid partial least squares structural equation modelling (PLS-SEM)-artificial neural network (ANN) analysis to examine the proposed relationships. Findings show that while all the customer equity drivers influence trust in service providers, only brand and relationship equity influence trust in social robots. Results also suggest that trust in service providers mediates the relationship between customer equity drivers and customer experience quality. In addition, we find that consumers' trust in service providers helps generate trust in social robots. Theoretical and managerial implications are discussed.

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework that offers professionalism as a solution in ensuring ethical AI. The framework stipulates fairness, nonmaleficence, responsibility, freedom, and trust as values necessary for developers and operators, as well as transparency, privacy, fairness, trust, solidarity, and sustainability as organizational values to ensure sustainability in ethical development and operation of AI.

As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is increasingly shaping diverse fields. The potential of this convergence to fortify security, enhance privacy, and streamline operations has ignited considerable academic interest, resulting in an impressive body of literature. However, there is a noticeable scarcity of studies employing Latent Dirichlet Allocation (LDA) to dissect and categorize this field. This review paper endeavours to bridge this gap by meticulously analysing a dataset of 4455 journal articles drawn solely from the Scopus database, cantered around IoT and blockchain applications. Utilizing LDA, we have extracted 14 distinct topics from the collection, offering a broad view of the research themes in this interdisciplinary domain. Our exploration underscores an upswing in research pertaining to IoT and blockchain, emphasizing the rising prominence of this technological amalgamation. Among the most recurrent themes are IoT and blockchain integration in supply chain management and blockchain in healthcare data management and security, indicating the significant potential of this convergence to transform supply chains and secure healthcare data. Meanwhile, the less frequently discussed topics include access control and management in blockchain-based IoT systems and energy efficiency in wireless sensor networks using blockchain and IoT. To the best of our knowledge, this paper is the first to apply LDA in the context of IoT and blockchain research, providing unique perspectives on the existing literature. Moreover, our findings pave the way for proposed future research directions, stimulating further investigation into the less explored aspects and sustaining the growth of this dynamic field.

Although the benefits of technological innovation are widely recognised, the accounting profession continues to undervalue and inadequately leverage technologies such as artificial intelligence, robotic process automation and blockchain. This study builds on earlier work on the antecedents and barriers to technology adoption and considers the role of technological, organisational and environmental factors in the accounting context. The mixed methods design involved surveying 585 accounting managers in Australia and parts of South-East Asia and interviewing 20 Australian accounting managers. Using the Technology–Organisation–Environment model, the study explored differences in the importance of factors by region and organisational type and investigated manager perspectives on strategies to support adoption. Findings indicated that security and privacy concerns are paramount to decision-making, while environment-related factors were of less importance. Prioritised strategies included staying informed of technological innovation, encouraging staff engagement and support, and implementing effective project management. The study illuminates the critical role of professional associations and industry bodies in providing tailored support for members to foster greater technological orientation and advance in the accounting profession, including advocating for high-level, technology-related strategies to drive organisational transformation.

Artificial intelligence (AI) has brought about a transformative impact on service firms across industries, revolutionizing their operations and presenting new avenues for growth by crossing boundaries between physical, digital and biological domains. ...

Introduction: The research project's objective was to conduct a comprehensive horizon scan of Network Centric Warfare (NCW) technologies—specifically, Cyber, IoT/IoBT, AI, and Autonomous Systems. Recognised as pivotal force multipliers, these technologies are critical to reshaping the mission, design, structure, and operations of the Australian Defence Force (ADF), aligning with the Department of Defence (Defence)’s offset strategies and ensuring technological advantage, especially in the Indo-Pacific's competitive landscape. Research process: Employing a two-pronged research approach, the study first leveraged scientometric analysis, utilising informetric mapping software (VOSviewer) to evaluate emerging trends and their implications on defence capabilities. This approach facilitated a broader understanding of the interdisciplinary nature of defence technologies, identifying key areas for further exploration. The subsequent survey study, engaging 415 professionals and six experts across STEM, law enforcement, and ICT, aimed to assess the impact, deployment likelihood, and developmental timelines of the identified technologies. Findings: Key findings revealed significant overlaps in technology clusters, highlighting 11 specific technologies or trends as potential force multipliers for the ADF. Among these, Cyber and AI technologies were recognised for their immediate potential and urgency, suggesting a prioritisation for development investment. The analysis presented a clear imperative for urgent and prioritised technological investments, specifically in Cyber and AI technologies, followed by IoT/IoBT and autonomous systems technologies. The recommended strategic focus entails enhancing cyber security of critical infrastructure, optimising network communications, and harnessing smart sensors, among others. Implications: To maintain a competitive edge, the ADF and the Australian government must commit to significant investments in these priority technologies. This in

This paper investigates the effects of various types of announcements made by lithium producers on stock prices. We collected data from 40 lithium-producing companies listed on the world's largest stock exchanges, spanning from May 2020 to September 2022. To analyze the impact of announcements such as quoted and unquoted securities, market announcements, company reports, public meetings and presentations, financial announcements, and technical announcements on stock prices, we employed an extreme gradient boosting (XGBoost) model. Our results indicate that stock exchange market announcements and announcements about public meetings and presentations significantly influenced the stock prices of all eight large-cap companies studied. Announcements about public meetings and presentations were crucial predictors of stock prices for 73% of all companies analyzed. Additionally, positive financial announcements were key predictors for 70% of the companies. These findings suggest that investors should consider these predictors when making investment decisions in the lithium-related stock market. This study contributes to the existing literature by providing empirical evidence on the impact of different types of announcements made by lithium producers on stock prices. Furthermore, the XGBoost model used in this study can be applied to other industries and markets to analyze the impact of various types of announcements on stock prices.

Copper demand will surge significantly in the context of global renewable energy technology implementation, but its production is an energy-intensive process. It is crucial to choose the best production method to reduce environmental damage in terms of the enormous copper supply. This research develops a multi-criteria life cycle assessment model for the three main copper production routes- pyrometallurgy, hydrometallurgy, and bioleaching. We complied material and energy flow data to assess each route's life cycle greenhouse gas (GHG) emissions, cost, and resource efficiency. Results indicate bioleaching emits the least GHG emissions (4.09 kg-CO2 eq/kg copper) among the three routes. Hydrometallurgy is the most economical production route, costing the least $3.25/kg copper. Nevertheless, either hydrometallurgy or bioleaching will cause a certain amount of resource waste because of uncertain resource efficiency (75%-95%). On the contrary, pyrometallurgy presents the highest copper recovery rate (>98%). This work provides a framework for the decision-making of copper production from the life cycle perspective.

The rise of Artificial Intelligence (AI) has prompted organisations to adopt AI systems, aiming to enhance revenue, reduce costs and improve business efficiency. However, AI adoption remains challenging, leading to employee stress and influencing their behaviour towards AI systems. Employee-related factors are crucial for AI success, yet limited research exists on these factors, leaving a gap in understanding the determinants of employees’ behavioural intentions towards adopting new AI systems in organisations. To address this research gap, this study aims to identify the factors influencing employees’ intentions to use AI systems and examine the effects of such intentions. Through an extensive literature review, this study identifies four major themes. The first theme, the AI theme, presents studies focused on AI adoption in organisations. The machine learning theme includes studies that concentrate on the acceptance of AI and machine-learning-based systems in organisations. The UTAUT theme showcases studies that utilised adoption and acceptance models, specifically the UTAUT. The TAM theme primarily represents the studies that employed the TAM to analyse and investigate AI adoption in organisations. Consequently, this study applied content analysis to the identified themes through systematic review, summarising the contents of the reviewed articles within each theme. As a result, the study developed a conceptual model that integrates various technology adoption models to address this research gap. Further, this study empirically examines factors influencing AI adoption within an organisational context. Data were collected from the Asian electrical and electronics industry through an online survey, resulting in 208 valid responses. Using a hybrid approach of PLS- SEM and fsQCA, the research analysed AI adoption factors' impact on employees' intention to use AI systems. PLS-SEM findings revealed that performance expectancy, social influence, personal innovativeness

Provides information about the resources produced by U.S. Department of Energy's Energy Information Administration. These resources cover energy statistics for U.S., states, the United States, and foreign countries. They also cover energy products as varied as coal, natural gas, nuclear energy, petroleum, and renewable energy.

The contribution of digitalization and digital platforms to tourism sustainability is a timely topic. In this research we analyze if a digital platform such as Instagram could contribute and be used as a tool to promote sustainability by destinations and by travelers. To this aim, we implement a methodology comprised of four steps: identifying the most recognized sustainable destinations in the world (i.e. Slovenia, New Zealand and Costa Rica), downloading and analyzing the last posts from the official accounts of the DMOs of these destinations, identifying the most frequently used hashtags related to sustainable tourism (#ecoturismo, #ecotourism, #sustainabletravel, #ecotravel and #sustainabletourism), and downloading and analyzing 500 posts from these accounts. Our results are mixed, and show some opportunities but also significant challenges and puzzling outcomes. In general, there does not seem to be a consistent use of sustainability concepts in the publications analyzed.

Provides information about the resources produced by U.S. Department of Energy's Energy Information Administration. These resources cover energy statistics for U.S., states, the United States, and foreign countries. They also cover energy products as varied as coal, natural gas, nuclear energy, petroleum, and renewable energy.

Purpose: In line with the effect of international competition and the maturing of customer demands, hotels face the challenges of managing their resources and remaining competitive. Therefore, reevaluating their management models, assessing their ability to innovate and consequently generate value, and maintaining their sustainable performance in the long term is vital. This paper in fact focused on organizational innovation, therefore, the objective of this research was to propose a Hotel Management Model of Organizational Innovation for Value Creation. Design / methodology: The research is exploratory-descriptive, with a quantitative approach and procedures. A pilot study was conducted with 150 American hotel managers, while the final sample included 453 hotel managers in Europe, Asia, North and South America. Findings: The model was validated using Structural Equation Modeling techniques, and it was possible to support 8 of the 14 secondary hypotheses that support the research. Originality / value: In the end, it was possible to realize the importance of a management that encourages the generation of ideas, promoting work practices aligned with human resources, increasing motivation and the development of innovative behavior in individuals. This relationship between leadership and employees fosters the development of the organization's intellectual capital, leveraging the hotel's capacity for innovation and value creation.

L'educació s'enfronta a la constant necessitat d'innovar i adaptar-se als canvis tecnològics. L'evolució tecnològica ha permès modificar els mètodes tradicionals d'ensenyament afavorint el disseny d'estratègies educatives en incorporar les TIC (Tecnologies de l'Informació i la Comunicació) a les metodologies i facilitar la recerca i la interacció en els continguts. L'objectiu d'aquest treball és elaborar eines de suport a la docència basades en la impressió 3D i dissenyar prototips tridimensionals que complementin els ensenyaments del Mòdul Professional de Representació gràfica inclòs en nombrosos currículums de Formació Professional. La present investigació aborda l'efecte de la implementació de la fabricació additiva en l'educació i els resultats obtinguts reforcen les teories de la bibliografia existent basada en l'ús d'objectes tangibles per afavorir l'aprenentatge. Els objectes impresos en 3D afavoreixen el raonament espaial i permeten la creació de models mentals tridimensionals més exactes, contribuint al desenvolupament d'habilitats i competències rellevants a través de la interacció.

Objective: This study has two purposes. The first is to determine the relatively impact of EU framework programs (Lisbon Strategy to Horizon 2020) on the level of technological efficiency by comparing them with EU members and non-EU members selected countries. This paper also to compare technology efficiency of the EU member countries separately and as a union. The second is purpose to evaluate technological efficiency scores and the economic growth rates of the EU and the selected countries. Originality/Relevance: The relative efficiency of the technology and innovation of the EU was compared with other selected countries for 2000, 2005, 2010, 2015 and 2018 and evaluated. In previous studies, we could not find a study evaluating the long-term impact of the European Union's framework programs and its efficiency of innovation. Methodology/approach: For measuring efficiency, DEA method was used with two inputs and four outputs which is represented the technology and innovations. Main results: The evidence shows that the efficiency of the technology and innovation of the EU was quite low in 2000, and it has reached an increasing trend over the years and reached the full efficient in 2015 and 2018. The analyses which were done separately for 26 EU countries, the efficiency scores are relatively low among EU countries. It reveals that the EU provides a strong platform for R&D collaborations for creative destruction. Social/management contributions: The EU should continue to design promoting cooperation networks, frameworks programs to support stable economic growth patterns and long-term technology-based growth targets, considering the distinctive features of its economic system, Objetivo do estudo: Este estudo tem dois objetivos. O primeiro é determinar o impacto relativo dos programas-quadro da UE (Estratégia de Lisboa até o Horizonte 2020) no nível de eficiência tecnológica, comparando-os com países selecionados membros e não membros da UE. Este artigo também tem como objetivo comparar a eficiência tecnológica dos países membros da UE separadamente e como união. O segundo objetivo é avaliar os escores de eficiência tecnológica e as taxas de crescimento econômico da UE e dos países selecionados. Originalidade/Relevância: A eficiência relativa da tecnologia e inovação da UE foi comparada com outros países selecionados para os anos de 2000, 2005, 2010, 2015 e 2018 e avaliada. Em estudos anteriores, não encontramos um estudo que avaliasse o impacto de longo prazo dos programas-quadro da União Europeia e sua eficiência em termos de inovação. Metodologia/Abordagem: Para medir a eficiência, foi utilizado o método DEA com dois inputs e quatro outputs que representam a tecnologia e as inovações. Principais resultados: As evidências mostram que a eficiência da tecnologia e inovação da UE era bastante baixa em 2000, mas alcançou uma tendência crescente ao longo dos anos e atingiu plena eficiência em 2015 e 2018. Nas análises feitas separadamente para os 26 países da UE, os escores de eficiência são relativamente baixos entre os países da UE. Isso revela que a UE oferece uma plataforma sólida para colaborações em P&D para a destruição criativa. Contribuições: A UE deve continuar a projetar redes de cooperação e programas-quadro para apoiar padrões estáveis de crescimento econômico e metas de crescimento de longo prazo baseadas em tecnologia, considerando as características distintivas de seu sistema econômico, Objetivo del estudio: Este estudio tiene dos propósitos. El primero es determinar el impacto relativo de los programas marco de la UE (de la Estrategia de Lisboa a Horizonte 2020) en el nivel de eficiencia tecnológica, comparándolos con países seleccionados miembros y no miembros de la UE. Este artículo también busca comparar la eficiencia tecnológica de los países miembros de la UE por separado y como unión. El segundo propósito es evaluar los puntajes de eficiencia tecnológica y las tasas de crecimiento económico de la UE y los países seleccionados. Originalidad/Relevancia: Se comparó la eficiencia relativa de la tecnología y la innovación de la UE con otros países seleccionados para los años 2000, 2005, 2010, 2015 y 2018 y se evaluó. En estudios anteriores, no encontramos un estudio que evaluara el impacto a largo plazo de los programas marco de la Unión Europea y su eficiencia en la innovación. Metodología/enfoque: Para medir la eficiencia, se utilizó el método DEA con dos inputs y cuatro outputs que representan la tecnología y las innovaciones. Principais resultados: La evidencia muestra que la eficiencia de la tecnología y la innovación de la UE fue bastante baja en 2000, y ha mostrado una tendencia creciente a lo largo de los años y alcanzó plena eficiencia en 2015 y 2018. Los análisis realizados por separado para los 26 países de la UE muestran que los puntajes de eficiencia son relativamente bajos entre los países de la UE. Esto revela que la UE proporciona una plataforma sólida para la colaboración en I+D para la destrucción creativa. Aportes: La UE debe seguir diseñando redes de cooperación y programas marco para apoyar patrones de crecimiento económico estables y objetivos de crecimiento a largo plazo basados en la tecnología, teniendo en cuenta las características distintivas de su sistema económico

This research aimed to study the variable factor of the development of talent acquisition process in industrial business sector to cope with digital technology change and develop a structural equation model. The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research. As for quantitative research, data were surveyed from questionnaires of 500 samples. Collected data from a questionnaire were used descriptive, reference, and multivariate statistics to analyse the developed structural equation model. Interestingly, the developed structural equation model analysis showed that it was under the empirical data and passed the SEM evaluation criteria with CMIN

Various events, such as changes in the interest rate or the hijacking of a commercial aircraft, can lead to significant shifts in airline stock performance. This study aimed to measure the impact of aviation-related news announcements on the stock performance of US airlines, focusing on different topics. The dataset included aviation news covering airlines, airports, regulations, safety, accidents, manufacturers, MRO, incidents, aviation training, general aviation, and others obtained from Aviation Voice. To uncover patterns that could explain the movements of US airline stocks, a natural language processing technique called Latent Dirichlet Allocation (LDA) was employed. The process involved text mining and topic modeling of the aviation-related data. The LDA model was then utilized to identify and capture specific topics mentioned in the news releases from Aviation Voice. By investigating the links between stock returns and the identified topics, the study revealed significant variations in financial performance across different topics. Notably, topics related to technology, fuel, and training positively impacted the short and long-term moving averages of US airline stocks. On the other hand, topics related to defense and travel costs only influenced the medium-term run. These findings shed light on the factors that influence US airline stock performance and provide valuable insights for investors and industry stakeholders.

By harnessing real-time and historical data in conjunction with advanced AI technologies, this project revolutionizes route and schedule planning, leading to enhanced efficiency, cost reduction, and an improved passenger experience.

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!

Join an award-winning team to publish your doctoral research, dissertation, doc study, and PhD work in a 25x award winning series with #1 International and Best-Selling Volumes and amazing foreword writers. More than 200 scholars are part of our family around the globe. Will you join us? We're waiting for you!