scholarly journals Do People Prefer Cars That People Don’t Drive? A Survey Study on Autonomous Vehicles

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4795
Author(s):  
Ieva Meidute-Kavaliauskiene ◽  
Bülent Yıldız ◽  
Şemsettin Çiğdem ◽  
Renata Činčikaitė
Keyword(s):  
Perceived Risk ◽  
Autonomous Vehicles ◽  
New Technologies ◽  
Smart Cities ◽  
Rapid Development ◽  
Survey Study ◽  
Survey Method ◽  
Intention To Use ◽  
Data Set ◽  
Perceived Safety

Only recently, smart cities are taking shape, thanks to the rapid development of Internet of Things (IoT), cloud computing, and other similar technologies. Given the high demands placed on advanced technologies such as autonomous driving, cloud data services, and high-precision sensors, smart cities are creating an intelligent transportation environment conducive to the introduction of autonomous vehicles (AVs). In this context, the use of AVs in transportation is also considered a form of transportation innovation. As a result, AVs are considered more favorable to people interested in new technologies because they appear to be technologically superior. Their association with the most up-to-date technology can serve as a symbol for those who wish to demonstrate their interest in new technologies through their appearance. The positive image of technological innovation projected by AVs may influence their acceptance among technology enthusiasts to a significant degree. In this context, this study investigates the effects of perceived advantage, perceived risk, and perceived safety on the intention to use autonomous vehicles. For this purpose, data were collected from vehicle users living in Turkey by survey method. Secondly, factor analyses and regression analyses were performed with the data set obtained from 611 participants. As a result of the analyses, it has been determined that the perceived advantage and perceived security increase the intention to use autonomous vehicles. In contrast, the perceived risk reduces this intention to use. According to these results, recommendations were made to the companies about the level of acceptance of this technology by the users to assess their investments in autonomous vehicles better.

scholarly journals Bosnia and Herzegovina market research on the use of autonomous vehicles and drones in postal traffic

2021 ◽  
Vol 1 (2) ◽  
pp. 32-37
Author(s):  
Amel Kosovac ◽  
Ermin Muharemović ◽  
Alem Čolaković ◽  
Mirza Lakaca ◽  
Edvin Šimić
Keyword(s):  
Bosnia And Herzegovina ◽  
Autonomous Vehicles ◽  
Market Research ◽  
New Technologies ◽  
Rapid Development ◽  
Constant Change ◽  
To Come ◽  
Postal Sector ◽  
Business Sectors

New technologies primarily affect the lives of all people, their habits, needs, desires, but also significantly affect the demands placed on various business sectors. Discussions on the increasingly rapid development of technical-technological solutions that can be applied in the postal sector and logistics have a long history. New technologies in all areas bring a constant change in the relationship between companies and their customers, which significantly affect the quality of work and activities. In the years to come, it will be an increasing challenge for postal operators around the world, as well as for other companies, to achieve substantive communication and understanding of their customers through the application of innovative technologies. Understanding and learning about customer issues is key to offering them services that, with their precise targeting of stakeholders, quality, visibility, efficiency, and, perhaps most importantly, flexibility, will be able to meet needs that change so quickly over time. This will be possible with new technologies and innovative solutions. The paper presents a market research on the potential use of autonomous vehicles and drones in the postal sector in Bosnia and Herzegovina. The research is based on a survey questionnaire on the use of drones and autonomous vehicles in the postal sector in the segment of shipment delivery.

scholarly journals The Impact of Social Influence, Technophobia, and Perceived Safety on Autonomous Vehicle Technology Adoption

2019 ◽  
Vol 48 (2) ◽  
pp. 133-142
Author(s):  
Sahil Koul ◽  
Ali Eydgahi
Keyword(s):  
Technology Adoption ◽  
Social Influence ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Negative Relationship ◽  
Future Research ◽  
Intention To Use ◽  
Perceived Safety ◽  
Vehicle Technology ◽  
The Impact

The objective of this study was to determine whether there was a relationship between social influence, technophobia, perceived safety of autonomous vehicle technology, number of automobile-related accidents and the intention to use autonomous vehicles. The methodology was a descriptive, cross-sectional, correlational study. Theory of Planned Behavior provided the underlying theoretical framework. An online survey was the primary method of data collection. Pearson’s correlation and multiple linear regression were used for data analysis. This study found that both social influence and perceived safety of autonomous vehicle technology had significant, positive relationships with the intention to use autonomous vehicles. Additionally, a significant negative relationship was found among technophobia and intention to use autonomous vehicles. However, no relationship was found between the number of automobile-related accidents and intention to use autonomous vehicles. This study presents several original and significant findings as a contribution to the literature on autonomous vehicle technology adoption and proposes new dimensions of future research within this emerging field.

Blockchain: A New Technology to Enhance Data Security and Privacy in Internet of Things

2020 ◽  
Vol 17 (6) ◽  
pp. 2552-2556
Author(s):  
Sarita Simaiya ◽  
Umesh Kumar Lilhore ◽  
Sanjeev Kumar Sharma ◽  
Kamali Gupta ◽  
Vidhu Baggan
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
New Technology ◽  
Rapid Development ◽  
Security And Privacy ◽  
Modern World ◽  
The Internet ◽  
Perceived Safety ◽  
Iot Applications ◽  
The Internet Of Things

A revolutionary technology well into the world of technology has been in the modern world of technology the Internet of Things. Due to continuing increases as nothing more than a consequence of either the rapid development of computing Internet of things-based applications implementations. Many technologies become increasingly embraced throughout compatible devices such as home automation and also smart cities. These IoT applications become operated on both the Internet, whereby information becomes transported publicly between a network to the next, therefore flowing information requires a great deal of further privacy consideration to guarantee IoT applications become reliable Internet of things technologies have been using various techniques of data protection of security and privacy. However, all such modern security systems have always been sufficient to ensure the Internet of things perceived safety. A Blockchain has become a revolutionary authoritative digital technology that really transforms commercial transactions absolutely. This is also a collaborative service that facilitates it uses a variety of features of cybersecurity. Blockchain technology seems to be the missing piece of the puzzle throughout the IoT to address problems of usability, anonymity, including security. Block chain’s crypto algorithms must enable transparency from customers very confidential. Throughout this research article, we introduce an analysis of IoT security concerns; blockchain gets addressed briefly as well as later addresses the security of IoT applications dependent on blockchain technologies.

Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers

2019 ◽  
Vol 120 ◽  
pp. 865-876 ◽  
Author(s):  
Luis Montoro ◽  
Sergio A. Useche ◽  
Francisco Alonso ◽  
Ignacio Lijarcio ◽  
Patricia Bosó-Seguí ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
National Study ◽  
Intention To Use ◽  
Perceived Safety

scholarly journals A Comparative Study of Current and Potential Users of Mobile Payment Services

SAGE Open ◽  
2016 ◽  
Vol 6 (4) ◽  
pp. 215824401667539 ◽  
Author(s):  
Chanchai Phonthanukitithaworn ◽  
Carmine Sellitto ◽  
Michelle W. L. Fong
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Subjective Norms ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Future Research ◽  
Intention To Use ◽  
Data Set ◽  
Payment Services

Previous studies of mobile payment (m-payment) services have primarily focused on a single group of adopters. This study identifies the factors that influence an individual’s intention to use m-payment services and compares groups of current users (adopters) with potential users (non-adopters). A research model that reflects the behavioral intention to use m-payment services is developed and empirically tested using structural equation modeling on a data set consisting of 529 potential users and 256 current users of m-payment services in Thailand. The results show that the factors that influence current users’ intentions to use m-payment services are compatibility, subjective norms, perceived trust, and perceived cost. Subjective norms, compatibility, ease of use, and perceived risk influenced potential users’ intentions to use m-payment. Subjective norms and perceived risk had a stronger influence on potential users, while perceived cost had a stronger influence on current users, in terms of their intentions to use m-payment services. Discussions, limitations, and recommendations for future research are addressed.

The Synergy between CRISPR and Chemical Engineering

2019 ◽  
Vol 19 (3) ◽  
pp. 147-171
Author(s):  
Cia-Hin Lau ◽  
Chung Tin
Keyword(s):  
Viral Vectors ◽  
Chemical Engineering ◽  
Target Genes ◽  
New Technologies ◽  
Rapid Development ◽  
Genetic Circuits ◽  
Viral Packaging ◽  
Conditional Control ◽  
Logic Operations

Gene therapy and transgenic research have advanced quickly in recent years due to the development of CRISPR technology. The rapid development of CRISPR technology has been largely benefited by chemical engineering. Firstly, chemical or synthetic substance enables spatiotemporal and conditional control of Cas9 or dCas9 activities. It prevents the leaky expression of CRISPR components, as well as minimizes toxicity and off-target effects. Multi-input logic operations and complex genetic circuits can also be implemented via multiplexed and orthogonal regulation of target genes. Secondly, rational chemical modifications to the sgRNA enhance gene editing efficiency and specificity by improving sgRNA stability and binding affinity to on-target genomic loci, and hence reducing off-target mismatches and systemic immunogenicity. Chemically-modified Cas9 mRNA is also more active and less immunogenic than the native mRNA. Thirdly, nonviral vehicles can circumvent the challenges associated with viral packaging and production through the delivery of Cas9-sgRNA ribonucleoprotein complex or large Cas9 expression plasmids. Multi-functional nanovectors enhance genome editing in vivo by overcoming multiple physiological barriers, enabling ligand-targeted cellular uptake, and blood-brain barrier crossing. Chemical engineering can also facilitate viral-based delivery by improving vector internalization, allowing tissue-specific transgene expression, and preventing inactivation of the viral vectors in vivo. This review aims to discuss how chemical engineering has helped improve existing CRISPR applications and enable new technologies for biomedical research. The usefulness, advantages, and molecular action for each chemical engineering approach are also highlighted.

Kuwaiti Hospital Patients’ Continuance Intention to Use Telemedical Systems in the Wake of the COVID-19 Pandemic: Survey Study Among Patients (Preprint)

2021 ◽  
Author(s):  
Ibtesam Almutairi
Keyword(s):  
Service Quality ◽  
Information Quality ◽  
Survey Study ◽  
Intention To Use ◽  
System Quality ◽  
Continuance Intention ◽  
Quantitative Research Methods ◽  
Patient’S Satisfaction ◽  
Relationship Of ◽  
The Relationship

BACKGROUND Telemedicine is a system using telecommunication technologies to diagnose, treat, and monitor patients by healthcare physicians and specialists in many developing countries such as Kuwait. Telemedicine services have proven to be successful in reporting and tracking patient records, delivering, real time monitoring, providing correct medications, and early detection of clinical decline. Covid-19 pandemic period have reinforced telemedicine system’s benefits even more in Kuwait. OBJECTIVE The objective of this study is to investigate factors influencing patients’ continuance intention to use telemedicine after the COVID-19 pandemic in the medical sector of Kuwait. METHODS The updated Delone and Maclean (2003) model was utilized to investigate the aforementioned factors. As such, this research applied quantitative research methods with a sample of 290 participants from patients in Dar Al Shifa Hospital, a private hospital in Kuwait which utilizes telemedical services called ‘Sehaty online’. The corresponding data was analyzed using SmartPLS. RESULTS The findings of this study revealed that the relationship of both telemedicine’s information quality and system quality with patient’s satisfaction are significant with (β = 0.377, t = 5.612, P < 0.001), (β = 0.295, t = 4.397, P < 0.001) respectively. While the relationship of service quality and patient’s satisfaction is not significant with (β = -0.056, t = 0.894, P > 0.05). patient’s satisfaction relationship with patients’ continuance intention to use telemedicine found to be significant with (β = 0.403, t = 8.732, P < 0.001). CONCLUSIONS It has been concluded that information quality and system quality have a positive and significant influence on patient’s satisfaction, whereas service quality has an insignificant influence on patient’s satisfaction. Also, patients’ continuance intention to use telemedicine is found to be significantly impacted by their satisfaction.

Smart Cities and Smart Regulation

2018 ◽  
Author(s):  
Anita Rønne
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Fossil Fuels ◽  
System Analysis ◽  
New Technologies ◽  
Smart Cities ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Political Agenda ◽  
Smart Regulation

Increasing focus on sustainable societies and ‘smart cities’ due to emphasis on mitigation of climate change is simultaneous with ‘smart regulation’ reaching the forefront of the political agenda. Consequently, the energy sector and its regulation are undergoing significant innovation and change. Energy innovations include transition from fossil fuels to more renewable energy sources and application of new computer technology, interactively matching production with consumer demand. Smart cities are growing and projects are being initiated for development of urban areas and energy systems. Analysis from ‘Smart Cities Accelerator’, developed under the EU Interreg funding programme that includes Climate-KIC,——provides background for the focus on a smart energy system. Analysis ensures the energy supply systems support the integration of renewables with the need for new technologies and investments. ‘Smart’ is trendy, but when becoming ‘smart’ leads to motivation that is an important step towards mitigating climate change.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

scholarly journals Green Innovation in Environmental Complexity: The Implication of Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 107
Author(s):  
Ieva Meidute-Kavaliauskiene ◽  
Şemsettin Çiğdem ◽  
Aidas Vasilis Vasiliauskas ◽  
Bülent Yıldız
Keyword(s):  
Firm Performance ◽  
Open Innovation ◽  
Environmental Uncertainty ◽  
Environmentally Friendly ◽  
Maximum Level ◽  
Survey Method ◽  
Green Innovation ◽  
Environmental Complexity ◽  
Data Set ◽  
Innovation Activities

People have become more conscientious about the environment in recent years. Increasing environmental awareness drives customers to be more selective about environmentally friendly products and forces governments to adopt environmentally friendly policies. As a result, competition in the market becomes more challenging. Thus, companies cannot remain indifferent to adopting environmentally friendly strategies to be sustainable. In this regard, this study investigates the effect of green innovation on firm performance. We also examined whether the environmental uncertainty moderates the investigated effect. For this purpose, first, data were collected from the first 1000 exporting firms declared in 2019 by the Turkey Exporters Assembly using a survey method. Secondly, factor analyses and regression analyses were performed with the data set obtained from 136 companies. As a result of the analysis, it was determined that green innovation increases both environmental performance and economic performance. It also was found that green innovation positively affects firm performance, but environmental uncertainty reduces this effect. According to these results, it was offered that firms should increase their green innovation activities to achieve better outputs and seek ways to reduce environmental uncertainty to keep these outputs at the maximum level. Finally, the research includes some considerations on the positive implications and potential of green innovation in an open-innovation context.

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