ABSTRACT
Internet of Things (IoT) data is one of the most important assets in business models for offering various ubiquitous and brilliant services. The IoT is provided with the advantage of susceptibility that cybercriminals and other malicious users. Even though smart cities are intended to extend productivity and efficiency, residents and authorities face risks when they avoid cybersecurity. The conventional blockchain methods were introduced to ensure the secure management and examination of the smart city big data. But, the blockchains are found to have computationally high costs, and failed to improve the security, not adequate resource-constrained IoT devices have been designated for smart cities. In order to address these issues, the proposed novel blockchain model called blockchain secured Merkle hash zero correlation distinguisher (BSMH-ZCD) is suitable for IoT devices within the cloud infrastructure. The objective of the BSMH-ZCD method is to enhance security and reduce the run time and computational overhead. Initially, the Merkle hash tree is used to create the hash value with every transaction. Next, the zero correlation distinguisher is applied to perform the data encryption and decryption operation for the ARX block for obtaining proficient secure data access in the IoT devices. Experimental assessment of the proposed BSMH-ZCD method and existing methods are carried out by using the taxi driver data set and Novel Corona Virus 2019 data set with different factors, such as running time, computational complexity, and security with respect to a number of blocks and executions. By using the taxi driver data set, the experimental results reveal that the BSMH-ZCD method performs better with a 19% improvement in security, 20% reduction of computational complexity, and 29% faster running time for IoT compared to existing works.
ABSTRACT
Chapter 10 reviews the crises and disasters that influence world tourism cities and introduces crisis management approaches, such as the crisis signal detection framework and social-mediated crisis communication model. [...]this book is highly recommended for students in the tourism management major. Furthermore, each chapter makes effective use of tables and figures to demonstrate differences in related concepts, such as the seven steps of the tourism planning process, seventeen potential tourism developments and themes for city destinations, and the 10 As model for city tourism development factors.
ABSTRACT
Purpose>Most previous studies have discussed the factors that drive the development of smart tourism or its benefits. Nevertheless, hindrances to smart tourism development have been largely ignored by previous studies. Hence, to bridge the aforementioned research gap, the present study identified the hindrances to smart tourism development in Hong Kong, which has been affected by the recent pandemic, based on the adjusted destination competitiveness conceptual models.Design/methodology/approach>The purpose of this study is to investigate the hindrances to smart tourism development. A qualitative interview method using a semi-structured questionnaire with open-ended questions was adopted in the present study.Findings>Findings of the present study indicated that the hindrances in developing smart tourism in Hong Kong are from four primary perspectives, namely, economic, sociocultural, technological and planning and management.Research limitations/implications>Seeking cooperation from popular tourist destinations can address the economic issues of market size and return on investment in technological infrastructure. Experiences, as the core product of travel, should be highlighted in smart tourism development and enterprises should be given support for the transformation.Originality/value>Theoretically, based on the adjusted conceptual models for destination competitiveness, the present study identifies the macro factors that hinder the development of smart tourism in Hong Kong from different primary perspectives. Practically, factors such as policy support, which includes public funding or low-interest loans, are essential to supporting preliminary finances to attract entrepreneurs and young talents to participate in the development.
ABSTRACT
The purpose of this study is to identify what happened to the telecom industry after the introduction of Reliance JIO and what are its effects on other service providers, and growth rate of JIO during the time of pandemic. The objective of the study is how JIO spread their business, how they received foreign investment and last but not least is how they continued their all services uninterruptedly when most of the corporate houses faced lots of difficulties because of unplanned and sudden lockdown. We collected data from the various journals and articles from various newspaper.
ABSTRACT
Purpose>This paper aims to explore the literature on vertical farming to define key elements to outline a business model for entrepreneurs. The research aims to stimulate entrepreneurship for vertical farming in a smart cities' context, recognising urban agriculture as technology to satisfy increasing food needs.Design/methodology/approach>The research conducts a structured literature review on 186 articles on vertical farming extracted from the Scopus. Moreover, the bibliometric analysis revealed the descriptive statistics on this field and the main themes through the authors' keywords.Findings>Different perspectives showed the multidisciplinary nature of the topic and how the intersection of different skills is necessary to understand the subject entirely. The keywords analysis allowed for identifying the topics covered by the authors and the business model's elements.Research limitations/implications>The research explores a topic in the embryonic stage to define key strands of literature. It provides business model insights extending George and Bock's (2011) research to stimulate entrepreneurship in vertical farming. Limitations arise from the sources used to develop our analysis and how the topic appears as a frontier innovation.Originality/value>Originality is the integration of literature strands related to vertical farming, highlighting its multidisciplinary nature to provide a holistic understanding of the themes. In smart cities' context, innovations allow traditional business models to be interpreted in a novel perspective and revealed the elements for transforming vertical farming from innovative technology to an effective source of food sustenance. Finally, the paper suggests a new methodology application for the analysis of word clusters by integrating correspondence analysis and multidimensional scaling analysis.
ABSTRACT
An alliance is an effective strategy for knowledge-intensive businesses in competition. Yet, little is known about how strategic alliances work within small firms in the telecommunications industry, which plays an essential part in the COVID-19 pandemic infrastructure. The purpose of this article is to examine the impact of strategic alliance on firm performance among small entrepreneurial firms (SEFs) in the telecommunications industry. The study uses structural equation modeling to analyze primary data obtained from a sample of 74 small entrepreneurial firms in the telecommunications sector. We find that strategic alliances significantly and positively impact partners’ performance in terms of financial, operational, and organizational effectiveness among small entrepreneurial firms in the telecommunication sector. Drawing on the findings, we recommend small entrepreneurial firms pay particular attention to pre-alliance and post-alliance issues, including partner similarity, alliance experience, partner’ reputation, complementary skills, industry scope, commitment to improving trust and skill, and collaboration to boost performance. In addition, based on the results of this study, we discuss research implications for challenges of telecommunications SEFs in the time of the COVID-19 pandemic crisis.
ABSTRACT
We describe self-organizing network (SON) concepts and architectures and their potential to play a central role in 5G deployment and next-generation networks. Our focus is on the basic SON use case applied to radio access networks (RAN), which is self-optimization. We analyze SON applications’ rationale and operation, the design and dimensioning of SON systems, possible deficiencies and conflicts that occur through the parallel operation of functions, and describe the strong reliance on machine learning (ML) and artificial intelligence (AI). Moreover, we present and comment on very recent proposals for SON deployment in 5G networks. Typical examples include the binding of SON systems with techniques such as Network Function Virtualization (NFV), Cloud RAN (C-RAN), Ultra-Reliable Low Latency Communications (URLLC), massive Machine-Type Communication (mMTC) for IoT, and automated backhauling, which lead the way towards the adoption of SON techniques in Beyond 5G (B5G) networks.
ABSTRACT
Data, information and knowledge, can be, indeed, both the input and output of a visualisation process, raising questions about the exact role of data, information and knowledge in visualisation (Chen et al., 2008). Besides the issue of clarifying taxonomically the terminology used in the visualisation processes and the precise role played by data, information and knowledge (Cui et al., 2006;Chen et al., 2009), it is widely acknowledged that visualisation shapes the experience that people have with data, information and knowledge, and appropriate visual representations can make knowledge more accessible, meaningful and inspirational. According to Eppler and Burkhard (2007), “knowledge visualisation designates all graphic means that can be used to construct, assess, measure, convey or apply knowledge” (p. 112). Burkhard (2004) argues that knowledge visualisation differs from information visualisation since it uses a visual representation to transfer knowledge between two persons and generate new knowledge. [...]according to the scholar, a trait distinguishing knowledge visualisation is the experiential and implementation dimension. According to the scholars, the study results “support the conclusion that visualisation is a powerful tool for managers to use when constructing
ABSTRACT
Purpose: The main objective of the article was to analyze the conditions and factors that determine the tourist development of Madera Island in relation to the assumptions of the sustainable development concept and the smart city concept. Moreover, the conducted own research made it possible to identify key problem areas related to the development of tourism in the discussed area, formulated by representatives of the local community and tourists. Design/Methodology/Approach: The research presented in this paper was conducted in April 2021. It was addressed to both permanent residents of Madeira and tourists visiting the island. A total of 391 people participated in the survey (diagnostic survey, questionnaire). Based on the collected opinions, the preferences observed in the surveyed groups were analyzed and an extensive list of recommendations was proposed. These recommendations have broad implementation potential, both in relation to Madeira and other tourist locations with similar social, economic, and environmental conditions. Findings: Areas of strong tourist reception are usually a common ground for actions of various institutions, environments, and people representing different and sometimes conflicting interests. The Portuguese Island of Madeira described in the paper is a perfect example: in a relatively small area, one can find both areas that require protection due to the valuable natural and cultural assets, areas of agricultural and industrial character (on a small scale), and places with strongly developed tourism and tourism-related infrastructure. Ongoing discussions on the future of Madeira indicate that the economy based on sustainable tourism and smart city concept will play a key role. Own research made visible that the catalogue of problem areas is very extensive and includes phenomena of various character and intensity. The concepts of sustainable tourism and smart city, which are the key reference point for the presented research, can be perceived as a certain ideal, being a source of inspiration and a tool for searching for optimal (taking into consideration interests of various groups) development paths for a given area. Practical Implications: Based on the collected data, the preferences observed among the respondents were analyzed and an extensive list of recommendations was proposed. These recommendations have broad implementation potential, both in relation to Madeira and other tourist locations with similar social, economic, and environmental conditions. Originality/Value: Previous studies are mostly limited to the discursive domain of the problem under consideration. Few studies have extensively discussed the implementation area of the concept in relation to the theoretical indications, especially concerning social expectations and preferences, formulated by both representatives of the local community and tourists.
ABSTRACT
Background: Recent data from several studies and surveys confirm that our society has entered the digital transformation era. The crucial role of this digital trend is becoming increasingly more evident during the COVID-19 pandemic. Hence, a bunch of technologies, such as artificial intelligence, have the potential to change the present enhancing people’s power to act, to live and to promote equal citizen participation. In this scenario, Smart Cities with its smart technology innovative components are challenging for excluded people. Method: The general objective of this article is to identify and understand the dimensions that must be taken into account to promote the digital participation/inclusion of people with ID. The model is based on a qualitative analysis of people’s perceptions related to how Smart Cities can promote social Inclusion. Results: The challenges associated with social inclusion were identified in the social, economic and political as well as cultural dimensions of the countries investigated: Italy and Malaysia. The results constitute a first step to shape and understand how smart cities can promote social inclusion in different contexts. Conclusion: The outcomes of our research suggest that, starting from standard technologies, smart cities in different countries need tailored solutions. The results reveal that the Smart City strategy is, in general, and in terms of social Inclusion, in particular, a local phenomenon changing in each country. This outcome has important implications for practitioners and future scholarly research alike. The current study contributes to both social inclusion and smart city literature in many ways.
ABSTRACT
Purpose - During the COVID-19 pandemic, the ways of using technology have expanded, i.e. more and more residents in their area have been using the advantages of technology development for satisfying their everyday needs. The purpose of this paper is to determine the impact of the COVID-19 pandemic on the use of mobile applications by the local population in Rijeka as a smart tourism destination. Methodology - The research will be conducted in the form of a structural questionnaire among the local population of the city of Rijeka. The extent to which the local population has been using smart technology in Rijeka before and during the pandemic will be explored. The descriptive statistics and t-test will be used to analyse the research results. Findings - The paper will determine the importance of smart technology for both locals and tourists. The analysis of the research results will define which smart technologies in the pandemic conditions make it easier for the local population to fulfil their everyday obligations, and therefore also for tourists who mainly arrive to satisfy their basic life needs. Contribution - The obtained research results will be of use to the destination management when designing the tourism product of the destination because the research will provide the information on which smart technologies are necessary to be developed in order to meet the basic needs of tourists in a destination which is safe and easy to "consume". Today, the decision to travel is primarily influenced by the protection of tourists' health in a destination.
ABSTRACT
In the era of digitalization, we have increasingly moved from real-life experiences towards virtual experiences. Consequently, we have lost our inherent connection to nature and our natural ability to understand the natural world around us. The human-nature connection has lost its meaning in urban life. There is a real need to find a new vision for the post-pandemic city that is different than the pre-pandemic city: we are moving from the tech-driven smart city to Nature Smart Cities with an emphasis on human connection and nature connection. Howard Gardner, who created the theory of multiple intelligences, later on added to his list naturalistic intelligence or nature smart. This particular form of intelligence manifests itself in an individual's sensitivity to nature and the world. People endowed with this form of intelligence are the people who see both the forest and the trees. Restoring and rebuilding our interdependence with environmental systems is the very essence of human and planetary wellbeing. How to design cities for happiness, doing and living well, in harmony with humans and nature?
ABSTRACT
COVID-19 has emerged as a worldwide health concern. It is very hard to check or scan every individual. In this paper, we have propounded a system where the suspected person can be easily detected and identified for COVID-19 by using thermal imaging-based closed-circuit television. The thermal imaging-based closed-circuit television will automatically scan the person in vicinity and capture the video/image of the suspected person. The system will raise an alarm in the vicinity so that people in vicinity keep clear of each other. The recorded video/image will be forwarded to the base station and information about the suspected person will be fetched from the server. Meanwhile, the drones will be used for tracking the suspected person until the nodal medical team diagnoses the suspected person for confirmation. The proposed system can contribute significantly to curbing the rate of infected COVID-19 persons and prevent further spread of this pandemic disease.
ABSTRACT
The pandemic of COVID 19 virus has caused a lot of damage around the world. In addition to human lives, the economies of entire countries are at risk. In order to avoid business, health and education systems breakdown, it was necessary to find a new models of their functioning. An increasing number of these systems depends on IT support, so online teaching, obtaining information on health status and video conferencing meetings in business corporations has become a daily life. Although from the point of view of the end users of these systems, the result is information or data that has been processed, special attention should be highlighted to the transfer of information of various types through existing modern communication systems. In case that information of a great importance is intercepted or unreliable, the consequences can be catastrophic. Given the current situation at the global level and the importance of the information transmitted, in this paper we will focus on the protection and reliability of information transmission using adaptive transmission algorithms. Modeling and implementation of adaptive transmission algorithms can allow us to adapt the data rate with higher bandwidth or fixed data rate with lower bandwidth depending on the needs of end users and their requirements. Whether optical cables, radio frequency systems or modern wireless optical communication systems are used for the transmission of information, adaptive transmission algorithms can be successfully implemented and thus greater security and reliability of the transmitted information can be achieved. In addition to the model of adaptive transmission algorithms, the pseudocode of their functioning will be given in this paper. Finally, a comparative analysis of these algorithms observed through a measure of channel capacity will be graphically presented.