scholarly journals What the Smart City in the Danube Region Can Learn From Industry 4.0

2018 ◽  
Vol 331 ◽  
pp. 191-201
Author(s):  
Alexander Prosser
Keyword(s):  
Smart City ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Smart Cities ◽  
Living System ◽  
Sensor Technology ◽  
Business Analytics ◽  
New Business ◽  
Dynamic Route

The Smart City Concept throughout all its current definitions is essentially a system that uses state-of-the-art ICT to provide and process information, to adapt and learn. The Internet of Things and advances in affordable sensor technology play an additional important role. The net result of the “smartification” of a city is the creation of a living, networked system of assets, devices and infrastructure. This living system continuously collects data that enables the system to learn and evolve. This is nothing new or path-breaking. In logistics and the manufacturing industry, this concept has been widely implemented to optimise supply chains, from predictive maintenance, to dynamic route optimisation and online business intelligence (BI). “Industry 4.0” has evolved from a buzzword to everyday reality. Moreover, these technologies do not just “electrify” existing processes – they enable new processes and beyond that even completely new business models that would not have been feasible with the pre-Industry-4.0 technology. Particularly the advent of in-memory business analytics that enables BI from the original transaction data in an on-demand/online fashion has facilitated this development. Now, the public sector is discovering these technologies for its own purposes. This contribution attempts to show the parallelism, but also differences between smart cities and Industry 4.0, where learning effects may occur and known pitfalls may be avoided.

scholarly journals Co-owned resources: IP and data in smart cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Angeliki Maria Toli ◽  
Niamh Murtagh ◽  
Hedley Smyth
Keyword(s):  
Intellectual Property ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Open Data ◽  
Structured Interviews ◽  
Content Type ◽  
New Business ◽  
Value Propositions ◽  
Operant Resources

PurposeSmart city projects typically operate in consortia of actors that lead to the co-creation of jointly owned intellectual property (IP) and data. While IP and data are significant for economic development, there are very limited studies on their co-ownership regimes especially on co-ownership of open data and open intellectual property. This study address this gap.Design/methodology/approachThis study is qualitative. In total, 62 in-depth semi-structured interviews were carried out, with predominantly senior members of organisations actively involved in smart city projects. Thematic analysis was used to analyse the data.FindingsThere are three models of co-ownership of IP and data: contractual joint ownership, undetermined or not-yet-determined ownership and open ownership. Each ownership model impacts differently the value-in-use. The relationships between actors in the consortia affect the way in which they co-create IP and data.Originality/valueThis study demonstrates how projects that operate in new models of innovation-led consortia produce new types of resources that are not simply co-created but co-owned. Co-owned resources have different value-in-use for each one of the different actors, independently of the fact that they jointly own them. This is influenced by the type of ownership model and predisposition of the actors to initially share resources and be flexible. Co-owned resources may generate future value propositions, act as interconnected operant resources and lead to the creation of new business models.

scholarly journals ISSUES OF ENSURING ECONOMIC AND ENERGY SECURITY IN THE “SMART CITY” SYSTEM

2020 ◽  
pp. 5-12
Author(s):  
A. S. Zotova ◽  
I. A. Svetkina ◽  
D. R. Gilmanova
Keyword(s):  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Economic Security ◽  
Security Issues ◽  
New Business ◽  
The Subject ◽  
The Russian Federation ◽  
City System ◽  
New Strategies

The publication reflects the results of research on economic security issues at the level of administrative center of the subject of the Russian Federation in the context of the development of the “smart city” system. Cutting-edge technologies are becoming a powerful engine of transformation, including the energy sector. Development of smart cities and digitalization of services require reorganization of the energy business, search of new innovative opportunities and the development of new strategies, the final result of which will be the creation of new business models for energy suppliers. As a result of largescale statistics and practical cases analysis the main (specific) smart risks, smart challenges and smart threats for the economic security system of the largest city have been classified, recommendations to modify existing business models for Russian energetic industry have been offered.

scholarly journals Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience

2021 ◽  
Author(s):  
Marco Cucculelli ◽  
Ivano Dileo ◽  
Marco Pini
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Institutional Support ◽  
Negative Influence ◽  
Positive Influence ◽  
External Support ◽  
Family Management ◽  
Family Leadership

AbstractWe examine whether the probability of innovating a company’s business model towards the Industry 4.0 paradigm is affected by external institutional support and family leadership. Industry 4.0 is the information-intensive transformation of global manufacturing enabled by Internet technologies aimed at reinventing products and services from design and engineering to manufacturing. Using a sample of 3000 firms from a corporate survey on the manufacturing industry in Italy, our results showed that family leadership has a significant positive influence on the adoption of Industry 4.0 business models, but only in terms of family ownership. By contrast, family management has a negative influence on the probability of adopting a new business model. However, this negative influence is almost totally offset by the presence of the Triple Helix, i.e. the external support by public institutions and universities, which counterbalances the lower propensity of family managers to adopt Industry 4.0 business models. This supporting role only occurs when institutions and universities act together.

scholarly journals Sustainable business model for local council’s smart city initiatives: a systematic literature review

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1066
Author(s):  
Ezatul Faizura Mustaffa Kamal Effendee ◽  
Magiswary Dorasamy ◽  
Abdul Aziz Bin Ahmad ◽  
Azrin Aris ◽  
Saida Hargeum ◽  
...  
Keyword(s):  
Systematic Review ◽  
Business Model ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Success Factor ◽  
Sustainable Business ◽  
Local Authorities ◽  
Frugal Innovation ◽  
Online Databases

Background: Malaysia is embarking on sustainable, resilient, and prosperous living conditions initiatives. Malaysian cities are embracing the smart city aspiration through their respective local authorities. However, they face challenges regarding  funding allocation for smart city implementation. Local authorities primarily operate on a conventional business model. Based on their current business model, they are unlikely to sustain their smart city initiatives. A more financially sustainable business model is required by these local authorities to embark on smart city initiatives. This study presents a systematic review concerning the business models adopted by local authorities to implement smart cities. This paper also explores the applicability of frugal innovation towards developing a smart city business model. Methods: This article undertakes a systematic review based on combination sets of eight main keywords: smart city, business model, frugal innovation, local authorities, performance, inclusivity, technology and success factor. The search strategy includes journal articles and conference proceedings from five major online databases: Emerald, ProQuest, Scopus, IEEE Xplore, ScienceDirect, and Springer Link between 2001-2021. The data is tabulated for clear expression of knowledge gaps. Results: A total of 17 articles from 300 articles on smart city business models matched the search on smart city business models for local authorities . The study revealed that hardly any in-depth research providing the crucial elements for a successful smart city business model for local authorities has been conducted. No research has linked frugal innovation to smart city business models. Conclusions: The study calls upon the research community to explore further, the possible linkage between frugal innovation and smart cities for local authorities.

Economic and legal regulation of economic activity in the formation of Industry 4.0

2021 ◽  
pp. 105-110
Author(s):  
Nataliya Vnukova
Keyword(s):  
Economic Activity ◽  
Industry 4.0 ◽  
Business Models ◽  
Legal Regulation ◽  
Digital Economy ◽  
Main Body ◽  
National Academy Of Sciences ◽  
Industrial Economics ◽  
New Business ◽  
Develop Technology

Problem setting. The development of the digital economy, taking into account international experience, provides a comprehensive analysis of the regulation of economic activity in relation to the application of Industry 4.0 technologies. Conditions for the development of the digital economy and society provide a thorough analysis of economic and legal regulation of economic activity on the use of innovations in Industry 4.0. Actualization of processes is enhanced by the practical actions of various stakeholders, which emphasizes the need for economic and legal support of this process. Therefore, there is a need to develop recommendations for identifying changes in the economic and legal regulation of the actions of economic entities to develop technologies in Industry 4.0. Analysis of resent researches and publications. OECD conducted a study on the development of digital economy and new business models (2014), Polish scientists R. Pukala, M. Ratajczak, Wozniak Jechorek B. consider the problems of communication in the context of digitalization and startups, recommendations for enterprise development in Industry 4.0 on the basis of their intellectualization provided by researchers of the Institute of Industrial Economics of the National Academy of Sciences of Ukraine N. Bryukhovetskaya and O. Chorna. Plakitkin by Yu. and L. consider programs of Industry 4.0 and digital economy. Target of research. Development of theoretical provisions and practical recommendations for determining changes in the economic and legal regulation of the actions of economic entities to develop technology 4.0 Industry. Article’s main body. The current changes in the regulation of economic activity that occur during the development of Industry 4.0 are considered. An innovative approach to the use of modern search engine Google Trends to determine the interest in the digital economy in the world, the results of a survey to understand the concept of Industry 4.0 and determine the potential level of interest of businesses in Ukraine to invest in the industry 4.0 Conclusions and prospects for the development. To regulate economic activity in the context of the development of Industry 4.0 requires developments in the field of law, the results of the survey indicate the need for further analytical and organizational activities to increase the interest of different categories of businesses in the development of Industry 4.0.

Industry 4.0 and Sustainability

2020 ◽  
pp. 67-84
Author(s):  
Sibel Yildiz Çankaya ◽  
Bülent Sezen
Keyword(s):  
Sustainable Development ◽  
Global Warming ◽  
Natural Resources ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
New Business ◽  
The Impact ◽  
Industrial Revolutions ◽  
New Business Models

Modern industry developed over several centuries and three industrial revolutions. Today, we experience the fourth era of the industrial revolution, Industry 4.0. The advance of industrialization brought along many problems, including environmental pollution, global warming, and depletion of natural resources. As a result, the concept of sustainability began to gain importance. Sustainability can be achieved through a balance between economic, social, and environmental processes. In order to establish such balance, businesses need new business models or insights. At this point, Industry 4.0 can be regarded as a new business mindset that will help businesses and communities move towards sustainable development. The technologies used by Industry 4.0 bear a strong promise to solve these problems, after all. Even though Industry 4.0 attracts a lot of attention lately, few works are available on its impact on sustainability. This chapter examines the impact of Industry 4.0 on sustainability.

scholarly journals Artificial Intelligence Applications to Smart City and Smart Enterprise

2020 ◽  
Vol 10 (8) ◽  
pp. 2944 ◽  
Author(s):  
Donato Impedovo ◽  
Giuseppe Pirlo
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Wide Spectrum ◽  
Life Quality ◽  
City Management ◽  
Efficient Management ◽  
Social Big Data ◽  
Areas Of Interest

Smart cities work under a more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which have led to the creation of smart enterprises and organizations that depend on advanced technologies. In this Special Issue, 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Published works refer to the following areas of interest: vehicular traffic prediction; social big data analysis; smart city management; driving and routing; localization; and safety, health, and life quality.

Industry 4.0 will arrive unevenly

2016 ◽  
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Capital Expenditure ◽  
Intelligent Manufacturing ◽  
Content Type ◽  
Production Distribution ◽  
New Business ◽  
Production Flexibility ◽  
Smart Factories ◽  
New Business Models

Subject Outlook for industry 4.0. Significance Dubbed variously 'Industry 4.0', 'intelligent manufacturing' or the 'internet of everything', cyber-physical systems that control the flow of materials, products and information are starting to transform industrial production and supply chains. They will eventually disrupt business models and challenge policymakers. Impacts Improved production flexibility and vertical integration with customers should facilitate bespoke manufacturing ('mass customisation'). Entire value chains will vertically integrate, embracing product design, procurement, production, distribution, sales and maintenance. Horizontal integration around smart factories will create new business models based on manufacturing as a service (MaaS). Pay-by-use and subscription-based MaaS could upend traditional models for financing capital expenditure on plant and equipment.

scholarly journals Digital transformation and new business models as determinants of formation of the economy of nontypical employment

2020 ◽  
Vol 10 (1) ◽  
pp. 33-54
Author(s):  
Anatoliy Kolot ◽  
Oksana Herasymenko
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Digital Transformation ◽  
Systematic Research ◽  
Gig Economy ◽  
The World ◽  
New Business ◽  
A Chain ◽  
Work And Employment ◽  
New Business Models

With the development of the Fourth Industrial Revolution and the formation of a new technological basis – “Industry 4.0” - a dynamic multi-vector transformation of the leading institutes of economy and society takes place, social and labor relations in general and employment in particular acquire new format and content. The quintessence of the article is a scientific-applied substantiation of the construct of nontypical employment economy, scientific argumentation and further development of previous researches of authors regarding determinants of gig-economy formation under the influence of economic and social development “digitalization” and emergence of new business models. that radically change all components of the world of work. New facets of the complex world of work and employment have been revealed and the increase of the newest knowledge in this field has been received under systematic research of a chain of changes: introduction of “Industry 4.0” breakthrough technologies → “digitalization” as a dominant vector of technological innovations → formation of new business models → changes in social division of labor and the content of labor processes → the emergence and intensive development of employment forms immanent to the new (digital) economy. It is substantiated that the main root cause, a kind of “trig- ger” for the emergence and reproduction of the chain of researched changes is digital transformation of the economy and society. The essence of today’s phenomena, which determine the development of the “gig economy”, is revealed. The argumentation of the spread of platform business models and their impact on the world of work and employment is given. A new theoretical construction of a chain of changes, the “output” of which is new forms and, a new platform for social and labor developmen t in general, has been suggested. The research focuses on finding answers to a number of questions posed to every conscious person. Among them are the following ones: Why can’t the modern economy “get along” with traditional (standard) forms of employment? Why does atypicality become not the exception but the norm? How do specific mechanisms and tools for transforming standard forms of employment into new ones, which are immanent to modern conditions of economic and social progress, behave in practice?

scholarly journals CONCEPTUAL ASPECTS OF THE TRANSITION TO SMART MANUFACTURING IN THE CONTEXT OF DIGITALIZATION

2021 ◽  
pp. 7-15
Author(s):  
О.В. Дударева ◽  
Д.Н. Дударев ◽  
Д.В. Аракчеев
Keyword(s):  
Research Methods ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
System Analysis ◽  
Strategy Development ◽  
Smart Manufacturing ◽  
Mathematical Methods ◽  
New Production ◽  
Main Research

Введение. Цифровизация экономики и, в частности, переход к умному производству или Индустрии 4.0, являются актуальным мировым трендом. Цифровизация экономики признана приоритетным направлением и в Российской Федерации. Трансформация производственной отрасли называется революцией именно потому, что изменения происходят не поверхностные, а радикальные: индустрия перестраивается сверху донизу. Путь этих преобразований привел к следующему технологическому рубежу, к формированию концепции Индустрии 4.0, которую также называют концепцией «Умного производства» (Smart Manufacturing). Данные и методы. Основные методы исследования — теоретические и практические методы, с помощью которых проводилось исследование: методы системного анализа, экономико-математические методы анализа информации, методы экспертных оценок, моделирования и прогнозирования. В статье использовались результаты исследований клуба лидеров цифрового производства, клуба производственников Сколково, компаний Solver, AUTODESK, Государственной корпорации Ростех и ряда других. Полученные результаты. В статье освещены концептуальные аспекты (теоретические и практические) перехода к умному производству в условиях цифровизации с целями повышения конкурентоспособности российских компаний через использование новых производственных технологий; формирования основы для разработки стратегии развития и повышения эффективности компаний; согласования с глобальными трендами Индустрии 4.0, действующими российскими стандартами и особенностями бизнеса; изменения культуры внедрения и работы с инновациями. Заключение. Представленные разработки позволяют сформировать ряд умозаключений по вопросам концепции и технологий умного производства, походов к цифровой трансформации бизнес-процессов, стратегий цифровизации и новых бизнес-моделей. Introduction. Digitalization of the economy and, in particular, the transition to smart manufacturing or Industry 4.0, is a current global trend. Digitalization of the economy is also recognized as a priority in the Russian Federation. The transformation of the manufacturing industry is called a revolution precisely because the changes are not superficial, but radical: the industry is being rebuilt from top to bottom. The path of these transformations led to the next technological milestone, the formation of the concept of Industry 4.0, which is also called the concept of "Smart manufacturing". Data and methods. The main research methods are theoretical and practical methods used to conduct the research: methods of system analysis, economic and mathematical methods of information analysis, methods of expert assessments, modeling and forecasting. The article uses the research results of the digital production leaders club, SKOLKOVO production workers club, Solver, AUTODESK, rostec State Corporation, and a number of others. Obtained result. The article deals with conceptual aspects (theoretical and practical) of the transition to smart production under conditions of digitalization with the objectives of improving the competitiveness of Russian companies through the use of new production technologies; forming the basis for strategy development and efficiency improvement; align with global trends of Industry 4.0, the existing Russian standards and business; culture change implementation and work with innovation. Conclusion. The presented developments allow us to form a number of conclusions on the concept and technologies of smart production, approaches to digital transformation of business processes, digitalization strategies and new business models.

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