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 Canvas B.M. in the global revolutionary era of digitisation in the industry 4.0: A review

2021 ◽  
Vol 92 ◽  
pp. 04006
Author(s):  
Petra Domanižová ◽  
Nikola Janíčková
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Value Added ◽  
Business Environment ◽  
Future Research ◽  
Manufacturing Companies ◽  
Revolutionary Era ◽  
Digital World

Research background: Industry 4.0, also known as the Fourth Industrial Revolution, describes the digitisation of the manufacturing industry. The transition to 4.0 is crucial for manufacturing companies to maintain a competitive advantage and take advantage of new opportunities. This article contributes to research with a framework for the description, analysis, and classification of Canvas B.M. for 4.0. Purpose of the article: The following report provides a review of the literature to expand our knowledge of how Industry 4.0 affects business models. This article aims to specify and map the level of knowledge about the Canvas business model and its application in the new revolutionary era of the digital world in the manufacturing industry 4.0. The findings deepen the understanding of how 4.0 affects the manufacturing industry, B.M., and the behaviour of the current economic environment. Methods: A literature review. Then the comparison of the author’s views on the use of the business model, innovation, and adaptation under the influence of digitisation. The literature survey was conducted in articles indexed in the Web of Science and Scopus to carry out a critical analysis of collected data and the exposition of some conclusions and future research opportunities. Findings & value added: A lot of research in the field of industry 4.0 using Canvas B.M., but very often, the view of the Czech business environment is neglected. Focusing on this area may lead to future research. This literary review focuses on the latest literature.

scholarly journals Efforts toward Creating a Sustainable Business Model: An Empirical Investigation of Small-Scale Certified Forestry Firms in Taiwan

2019 ◽  
Vol 11 (9) ◽  
pp. 2523 ◽  
Author(s):  
Jun-Yen Lee ◽  
Ching-Hsing Chang
Keyword(s):  
Forest Management ◽  
Business Model ◽  
Business Models ◽  
Sustainable Forest Management ◽  
Third Party ◽  
External Support ◽  
Small Scale ◽  
Forest Certification ◽  
Sustainable Business ◽  
Good Communication

Forest certification plays a notable role in promoting sustainability. This certification shows that forestland holders have adopted innovative practices toward realizing sustainable business models. Relatively little analysis has been devoted to identifying the efforts of transforming a conventional business model into a sustainable version through the application of forest certification. This paper examines the elements of a sustainable business model: value proposition, value creation and delivery, and value capture in certified forestland holders’ business operations. Empirical results have confirmed that certification signifies a successful sustainability transformation within adopting firms. However, these small organizations struggle with obtaining know-how regarding sustainable forest management. There needs to be adequate external support, such as government consultants or academic researchers, in order to successfully adopt third-party forest certification. However, while practicing sustainable forest management activities will not guarantee premium prices, the certification has, in some rare cases, helped to develop a new niche market. Good communication with stakeholders has improved firms’ relationships with local residents, but more channels of communication are still needed to activate green consumers.

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.

scholarly journals SUPPORTING BUSINESS MODEL INNOVATION BASED ON DEEP LEARNING SCENE SEMANTIC SEGMENTATION

2020 ◽  
Vol 11 (6) ◽  
pp. 962-968
Author(s):  
Nikolay Neshov ◽  
Agata Manolova ◽  
Krasimir Tonchev ◽  
Antoni Ivanov
Keyword(s):  
Business Model ◽  
Cognitive Processes ◽  
Industry 4.0 ◽  
Business Models ◽  
Real Data ◽  
Semantic Segmentation ◽  
Basic Element ◽  
Business Model Innovation ◽  
Video Conference ◽  
Surrounding Environment

The capacity to create innovative Business Models (BM) has become the foundation for numerous businesses. Business Model Innovation (BMI) grows more significant as digitalization influences our everyday lives and prompts the development of better approaches for working, imparting and collaborating in this computerized universe of Industry 4.0. In this paper we present a conceptual architecture which can be applied in the modern video-conference systems with the help of semantic segmentation. The scene represents an environment, intended for discussion of ideas in business modeling. The semantic segmentation allows each pixel of an image (or video) from the scene to be related or classified to a specific type of object. In this way it is possible to interpret the description of a scene by the machine. Thus, with the help of the proposed architecture, the processes taking place between objects and people in the surrounding environment can be analyzed for the purpose of digitization of BMI by modelling human behavior and cognitive processes into logical expressions that can be digitized and automated. The semantic segmentation is considered as a basic element in this type of interaction. We demonstrate the effectiveness of our algorithm in with real data examples.

Business model innovation in small- and medium-sized enterprises

2019 ◽  
Vol 30 (8) ◽  
pp. 1127-1142 ◽  
Author(s):  
Julian Marius Müller
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Business Models ◽  
Customer Relationships ◽  
General Level ◽  
German Industry ◽  
Exploratory Research ◽  
Content Type ◽  
Business Model Canvas ◽  
Key Resources

Purpose Industry 4.0 is expected to significantly transform industrial value creation. However, research on business models affected through Industry 4.0, and on small- and medium-sized enterprises (SMEs), remains scarce. In response, the purpose of this paper is to address both aspects, further elaborating on the role that SMEs can take toward Industry 4.0 as provider or user. Design/methodology/approach The paper used an exploratory research design based on 43 in-depth expert interviews within the three most important German industry sectors, mechanical and plant engineering, electrical engineering and automotive suppliers. Interviews were conducted with leading personnel of the respective enterprises, including 22 CEOs. They assign business model implications through Industry 4.0, referring to the Business Model Canvas, while the paper delineates between Industry 4.0 providers and users. Findings The paper finds that key resources and value proposition are among the most affected elements of the business model, whereas channels are the least affected. Furthermore, distinct characteristics between Industry 4.0 providers and users can be delineated. In general, Industry 4.0 providers’ business models are significantly more affected than users, except for key partners and customer relationships. Research limitations/implications Industry 4.0 remains at its early stages of implementation. As a result, many interviewees’ answers remain at a rather general level. Practical implications Strategies for the further alignment of the business models are provided for Industry 4.0 providers and users. Originality/value The paper is among the few that investigate Industry 4.0 in the context of SMEs and business models.

Der Einfluss von Industrie 4.0 auf Geschäftsmodellinnovationen produzierender KMU

2021 ◽  
Vol 69 (1) ◽  
pp. 17-35
Author(s):  
Petra Unterberger ◽  
Julian M. Müller
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Positive Influence ◽  
Industrie 4.0 ◽  
Expert Interviews ◽  
Business Model Canvas ◽  
Before And After ◽  
The Status ◽  
The Absolute

Dieser Beitrag untersucht den Einfluss von Industrie 4.0 auf die Anzahl von Geschäftsmodellinnovationen produzierender, deutscher kleiner und mittlerer Unternehmen (KMU) mittels quantitativen Häufigkeitsanalysen von qualitativen Expertenbefragungen. Es werden 70 Experteninterviews durchgeführt und strukturiert analysiert, um den Innovationsstatus einzelner Business Model Canvas Bausteine je Unternehmen vor und nach der Etablierung von Industrie 4.0 ableiten und zu absoluten Häufigkeiten auf Basis aller 70 Unternehmen aufsummieren zu können. Dabei zeigt sich, dass Industrie 4.0 die Innovationsbereitschaft von Geschäftsmodellelementen deutlich positiv beeinflusst. This paper investigates the influence of Industry 4.0 on the amount of business model innovations of German small and medium-sized enterprises (SMEs) by means of qualitative expert interviews and quantitative frequency analyses. 70 expert interviews are conducted and analyzed in a structured form in order to derive the status of innovation of individual Business Model Canvas modules per company before and after the establishment of Industry 4.0 and to be able to add up the absolute frequencies taking all companies into account. This shows that Industry 4.0 has a clearly positive influence on the readiness for innovation of business model areas elements.

scholarly journals Logistics Response to the Industry 4.0: the Physical Internet

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Marinko Maslarić ◽  
Svetlana Nikoličić ◽  
Dejan Mirčetić
Keyword(s):  
Value Creation ◽  
Value Chain ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Decision Makers ◽  
Logistics System ◽  
Global Logistics ◽  
Physical Internet ◽  
Organization Of Production

Abstract Today’s mankind and all human activities are constantly changing and evolving in response to changes in technology, social and economic environments and climate. Those changes drive a “new” way of manufacturing industry. That novelty could be described as the organization of production processes based on technology and devices autonomously communicating with each other along the value chain. Decision-makers have to address this novelty (usually named as Industry 4.0) and try to develop appropriate information systems, physical facilities, and different kind of technologies capable of meeting the future needs of economy. As a consequence, there is a need for new paradigms of the way freight is move, store, realize, and supply through the world (logistics system). One of the proposed solutions is the Physical Internet, concept of open global logistics system which completely redefines current supply chain configuration, business models, and value-creation patterns.However, further detailed research on this topic is much needed. This paper aims to provide a balanced review of the variety of views considered among professionals in the field of Physical Internet with the final aim to identify the biggest challenges (technological, societal, business paradigm) of proposed new logistics paradigm as a practical solution in supporting Industry 4.0.

scholarly journals FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5499
Author(s):  
Felipe S. Costa ◽  
Silvia M. Nassar ◽  
Sergio Gusmeroli ◽  
Ralph Schultz ◽  
André G. S. Conceição ◽  
...  
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Production Systems ◽  
Transformation Process ◽  
Digital Transformation ◽  
Shop Floor ◽  
Decentralized Decision Making ◽  
End To End

The Industry 4.0 paradigm, since its initial conception in Germany in 2011, has extended its scope and adoption to a broader set of technologies. It is being considered as the most vital mechanism in the production systems lifecycle. It is the key element in the digital transformation of manufacturing industry all over the world. This scenario imposes a set of major unprecedented challenges which require to be overcome. In order to enable integration in horizontal, vertical, and end-to-end formats, one of the most critical aspects of this digital transformation process consists of effectively coupling digital integrated service/products business models with additive manufacturing processes. This integration is based upon advanced AI-based tools for decentralized decision-making and for secure and trusted data sharing in the global value. This paper presents the FASTEN IIoT Platform, which targets to provide a flexible, configurable, and open solution. The platform acts as an interface between the shop floor and the industry 4.0 advanced applications and solutions. Examples of these efforts comprise management, forecasting, optimization, and simulation, by harmonizing the heterogeneous characteristics of the data sources involved while meeting real-time requirements.

scholarly journals THE ONLINE SHOPPING HABITS AND E-LOYALTY OF GEN Z AS NATIVES IN THE DIGITAL ERA

2019 ◽  
Vol 34 (2) ◽  
pp. 168 ◽  
Author(s):  
Risca Fitri Ayuni
Keyword(s):  
Service Quality ◽  
Business Model ◽  
Industry 4.0 ◽  
Customer Value ◽  
Business Models ◽  
Business Strategies ◽  
The Internet ◽  
Relationship Of ◽  
Online Shops ◽  
The Relationship

Introduction: Generation Z (Gen Z) refers to the most application-friendly and website-savvy generation engaging with the Internet for most of its daily activities. The number of Gen Z members has been growing and is projected to become the largest market segment by 2020. In the future, Gen Z will affect business strategies; compounded by the presence of a fourth industrial revolution (Industry 4.0), which will encourage companies to change their business models. One of the changes is a new paradigm shift by companies from the traditional business model to an internet-based business model (e-business model/e-commerce), such as online shops. Online shops have escalated at a rapid pace and have changed people’s buying habits, especially for Gen Z. Gen Z seems to be shopping online more than ever. Targeting them is the best strategy to enhance their lifetime loyalty. Background Problem: This study aims to examine the relationship of e-service quality, online customer value, e-satisfaction and e-loyalty. Research Method: Two hundred and forty-one Gen Z respondents were involved in this study. PLS 3, Sobel and SPSS 23 were employed to analyze the data. Five hypotheses were proposed. Findings: The findings indicated that e-service quality became the expected predictor of online customer value and satisfaction. In addition, the results confirm the mediating role of online customer value between e-service quality and e-satisfaction, as well as clarifying the relationship of online customer value and e-satisfaction. Finally, the effect of e-satisfaction on e-loyalty has been proven in this study. Conclusion: Upon figuring out the relevant issue, online shops are able to re-consider their business models to adopt the Industry 4.0 revolution, to strengthen their capacity in tight competition. In order to target Gen Z, who mostly do their purchasing via the Internet, online shops must provide high quality websites and create values which convey economic, social and functional values. These two key factors play significant roles in attaining Gen Z’s e-satisfaction, thus securing Gen Z’s e-loyalty. 

scholarly journals Digital communication channels in Industry 4.0 implementation

2020 ◽  
Vol 25 (1) ◽  
pp. 171-191
Author(s):  
Kristina Kovaitė ◽  
Paulius Šūmakaris ◽  
Jelena Stankevičienė
Keyword(s):  
Business Model ◽  
Stages Of Change ◽  
Change Process ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Models ◽  
Digital Communication ◽  
Communication Channels ◽  
Internal Communication ◽  
Scientific Publications

Industry 4.0 describes a phenomenon which augments business models and also communication channels in commercial enterprises. This paper analyses scientific publications related to the business model changes driven by Industry 4.0, and also digital internal communication channels used to reduce risks in the process. The paper is based upon a systematic review of scientific publications and evaluation by experts. The research revealed a gap between internal communication through digital channels and the change process in Industry 4.0-driven business models. Each channel has its mission and contributes to reducing risk during the change process. Since there is no universal digital channel for internal communication, different digital communication channels are efficient at different stages of change. The paper makes recommendations for enterprises, related to the effectiveness of digital communication channels during the business model transformation. It further contributes to existing knowledge by expanding the change process model and aligning the change process with features of digital communication channels. The research focused on the manufacturing sector, exploring digital communication channels used to reduce risk during the change process, which is a limitation of this study, along with assumption of a basic level of digital competences in the enterprise.

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