Inter and Intra Cities Smartness

Business Models ◽

Smart Cities ◽

Geographic Information ◽

Location Problems ◽

Future Research ◽

Gis Tools ◽

Nations Development

The rapid advances in Information and Communication Technologies (ICT) contribute to the creation of ‘Smart Cities'/‘Knowledge Precincts' that use data, information and technologies to enable innovative business models. This contributes to the nations' development. For smart cities/knowledge precincts to realize the planned social and economic impact; they have to be well-located and planned. Creating connections among cities also contributes to their smartness. This, calls for concepts of inter and intra smartness contributed in this chapter. The question is: a) how to locate the components of the smart city internally and b) how to locate the smart cities relative to each other and to their communities. Location problems are tackled with optimization and Geographic Information Systems (GIS) tools. This chapter starts by giving definitions on the topic and then presents a survey on the ‘Smart Cities'/‘Knowledge Precincts' location problems that use optimization and GIS tools and concludes with avenues for future research.

Advances in Geospatial Technologies - Handbook of Research on Geographic Information Systems Applications and Advancements ◽

Inter and Intra Cities Smartness

10.4018/978-1-5225-0937-0.ch011 ◽

2017 ◽

pp. 296-320 ◽

Cited By ~ 1

Author(s):

Ghada A. El Khayat ◽

Nada Ahmad Fashal

Keyword(s):

Business Models ◽

Smart Cities ◽

Geographic Information ◽

Location Problems ◽

Future Research ◽

Gis Tools ◽

Nations Development

The rapid advances in Information and Communication Technologies (ICT) contribute to the creation of ‘Smart Cities'/‘Knowledge Precincts' that use data, information and technologies to enable innovative business models. This contributes to the nations' development. For smart cities/knowledge precincts to realize the planned social and economic impact; they have to be well-located and planned. Creating connections among cities also contributes to their smartness. This, calls for concepts of inter and intra smartness contributed in this chapter. The question is: a) how to locate the components of the smart city internally and b) how to locate the smart cities relative to each other and to their communities. Location problems are tackled with optimization and Geographic Information Systems (GIS) tools. This chapter starts by giving definitions on the topic and then presents a survey on the ‘Smart Cities'/‘Knowledge Precincts' location problems that use optimization and GIS tools and concludes with avenues for future research.

Embodied AI-Driven Operation of Smart Cities: A Concise Review

10.36227/techrxiv.16370823 ◽

2021 ◽

Author(s):

FARZAN SHENAVARMASOULEH ◽

Farid Ghareh Mohammadi ◽

M. Hadi Amini ◽

Hamid R. Arabnia

Keyword(s):

Smart City ◽

Smart Cities ◽

Autonomous Driving ◽

Future Research ◽

Intelligent Network ◽

Concise Review ◽

Cloud Technologies

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>

Advances in Business Strategy and Competitive Advantage - Digital Entrepreneurship and Global Innovation ◽

Use of New Innovative Technologies in Business by All Age Groups

10.4018/978-1-5225-0953-0.ch005 ◽

2017 ◽

pp. 79-103

Author(s):

Stelian Stancu ◽

Constanta-Nicoleta Bodea ◽

Laura Elly Naghi ◽

Oana Madalina Popescu ◽

Alina Neamtu

Keyword(s):

Business Models ◽

Age Groups ◽

Entrepreneurial Activity ◽

Future Research ◽

Innovative Technologies ◽

Entrepreneurial Attitudes ◽

Key Indicators

This paper makes a foray into the new innovative business technologies by presenting several important aspects of the Digital Economy, Business models, Entrepreneurship, Information and Communication Technologies (ICT), ICT4D, Innovation Technology. The second part of the paper consists of an analysis of new innovative technologies results in business, using Global Entrepreneurship Monitor (GEM), thus presenting the conceptual framework GEM, How GEM Defines Entrepreneurship, Measures of Entrepreneurial Activity, Entrepreneurial Aspirations, Entrepreneurial Attitudes. Based on this analysis, empirical results of new innovative business technologies in Romania are configured, highlighting the key indicators for Romania (2015), Entrepreneurial Activity rates in efficiency-driven EU Countries in 2014 (% of population aged between 18-64 years), distribution of entrepreneurs by gender, age, education and household income in Romania 2014 (%), both individually and overall. The paper concludes with key findings and proposals for the following questions to be explored in future research.

Resource Scheduling and Strategic Management of Smart Cities under the Background of Digital Economy

Complexity ◽

10.1155/2020/6624307 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Qing Yin ◽

Gang Liu

Keyword(s):

Strategic Management ◽

Smart City ◽

Business Models ◽

Smart Cities ◽

Resource Scheduling ◽

Digital Economy ◽

Current Status ◽

Information And Communication

Smart city is a brand-new city form, in which information and communication technologies are utilized to sense, analyze, and integrate the key information of city operation core system, so that intelligent responses can be immediately and effectively taken to various demands including people’s livelihood, environmental protection, public safety, city services, and industrial and commercial activities. Digital economy is a mixed economy with the coexistence of multiple business models and diversified value creation models based on the information and communication technologies and in the digital economy, many things are undergoing huge changes, and their corresponding economic rules also need to be adjusted. On the basis of analyzing previous research works, this paper expounded the research status and significance of smart city’s resource scheduling and strategic management, elaborated the development background, current status, and future challenges of digital economy, introduced the methods and principles of city-level spatiotemporal data model and spatial full factor coding, formulated resource scheduling strategies for smart city based on digital economy, explored the dynamic fusion, storage, and update of smart city’s multisource heterogeneous data, conducted the information display and analysis of multilevel smart city, proposed strategic management approaches for smart city based on digital economy, analyzed the integrated implementation model of shared resource scheduling and people-oriented social management, and discussed the economic growth factors and standardization mechanism of smart city under the background of digital economy. The results of this study provide a reference for further research studies on the resource scheduling and strategic management of smart city under the background of digital economy.

Orchestrating Smart Cities, New Disruptive Business Models and Informal Enterprises

10.5772/intechopen.94075 ◽

2020 ◽

Author(s):

Ben Mkalama ◽

Bitange Ndemo

Keyword(s):

Business Models ◽

Industrial Revolution ◽

Smart Cities ◽

Sub Saharan Africa ◽

New Business ◽

Sub Saharan ◽

New Business Models

As the fourth industrial revolutions technologies intensify, cities are becoming smarter, new business models are emerging and informal enterprises are formalizing by default. Research demonstrates that the future of our world is decided by the quality of its future cities. As cities invest in information and communication technologies (ICTs) and embrace the Fourth Industrial Revolution (4IR) technologies to make life easier and solve many of the problems we face today, employment opportunities expand and citizens enjoy better lifestyle. This chapter will examine how the concept of smart cities is disrupting existing business models and creating new ones that have positively impacting Africa’s informal enterprise sector. The chapter leverages abundance theory to explain the emerging phenomenon in the nexus between smart cities, new business models and informal enterprises in Sub-Saharan Africa. The study finds that indeed the concept of smart cities is indeed facilitating new business models that are formalizing the informal sector.

Interconnected business models: present debates and future agenda

Journal of Business and Industrial Marketing ◽

10.1108/jbim-06-2019-0292 ◽

2020 ◽

Vol 35 (6) ◽

pp. 1051-1067

Author(s):

Milan Jocevski ◽

Niklas Arvidsson ◽

Antonio Ghezzi

Keyword(s):

Business Models ◽

Current Understanding ◽

Bibliographic Databases ◽

Future Research ◽

Content Type ◽

Core Components ◽

Emergent Literature

Purpose The purpose of this study is to provide a review of the emergent literature to advance the current understanding of the business model (BM) concept in a context in which more than one actor is actively involved in the development and delivery of a joint offer based on information and communication technologies. Design/methodology/approach The paper uses a systematic literature review approach. The review is based on 25 systematically selected publications published from 2000 to 2018 and retrieved from bibliographic databases and through a process of snowballing. Findings The authors found several alternative conceptualizations of a BM at a network level, which highlighted different elements as core components. Based on this, authors’ findings suggest the literature has a fragmented view of what the BM concept entails at a network level, and of which actors are relevant. Conversely, there is a consensus that a single-firm view is inadequate for describing and studying joint value architectures because of its inability to consider all involved actors and their activities and resources. Therefore, a network-oriented view, as a relational aggregator, is seen as a possible way forward. Originality/value The study contributes to the current understanding of a BM concept at a network level and suggests three viewpoints from which to interpret value architectures at different levels of analysis: single-firm view, dyadic-level view and network-oriented view. Furthermore, the authors highlight several gaps to be studied and provide avenues for future research opportunities for scholars.

Embodied AI-Driven Operation of Smart Cities: A Concise Review

10.36227/techrxiv.16370823.v1 ◽

2021 ◽

Author(s):

FARZAN SHENAVARMASOULEH ◽

Farid Ghareh Mohammadi ◽

M. Hadi Amini ◽

Hamid R. Arabnia

Keyword(s):

Smart City ◽

Smart Cities ◽

Autonomous Driving ◽

Future Research ◽

Intelligent Network ◽

Concise Review ◽

Cloud Technologies

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>

Use of New Innovative Technologies in Business by All Age Groups

Entrepreneurship ◽

10.4018/978-1-5225-1923-2.ch037 ◽

2017 ◽

pp. 888-912

Author(s):

Stelian Stancu ◽

Constanta-Nicoleta Bodea ◽

Laura Elly Naghi ◽

Oana Madalina Popescu ◽

Alina Neamtu

Keyword(s):

Business Models ◽

Age Groups ◽

Entrepreneurial Activity ◽

Future Research ◽

Innovative Technologies ◽

Entrepreneurial Attitudes ◽

Key Indicators

This paper makes a foray into the new innovative business technologies by presenting several important aspects of the Digital Economy, Business models, Entrepreneurship, Information and Communication Technologies (ICT), ICT4D, Innovation Technology. The second part of the paper consists of an analysis of new innovative technologies results in business, using Global Entrepreneurship Monitor (GEM), thus presenting the conceptual framework GEM, How GEM Defines Entrepreneurship, Measures of Entrepreneurial Activity, Entrepreneurial Aspirations, Entrepreneurial Attitudes. Based on this analysis, empirical results of new innovative business technologies in Romania are configured, highlighting the key indicators for Romania (2015), Entrepreneurial Activity rates in efficiency-driven EU Countries in 2014 (% of population aged between 18-64 years), distribution of entrepreneurs by gender, age, education and household income in Romania 2014 (%), both individually and overall. The paper concludes with key findings and proposals for the following questions to be explored in future research.

Technologies Disability and Inclusion

EDUCATION SCIENCES AND SOCIETY ◽

10.3280/ess1-2018oa6064 ◽

2018 ◽

Cited By ~ 1

Author(s):

Tomas Brusell

Keyword(s):

Social Media ◽

Augmented Reality ◽

Future Development ◽

Smart Cities ◽

Modern Technology ◽

The Social ◽

The Disabled ◽

Information And Communication

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of "smart cities" and "smart homes".