scholarly journals The Challenges of the Publishers in the Industrial Era 4.0: A Review

MEDIASI ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 1-18
Author(s):  
Muhammad Fadly Suhendra ◽  
Martinus Helmiawan ◽  
Noviastuti Putri Indrasari
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
High Efficiency ◽  
Empirical Studies ◽  
Economic Value ◽  
Digital Revolution ◽  
New Business ◽  
Services Innovation ◽  
Almost All ◽  
Automation Technology

The era of industry 4.0 is a digital revolution characterized by the fusion or collaboration between cyber and automation technology. Not only in production processes, but also in almost all parts of economic value chains thus new business model based on digital technology to achieve high efficiency and better quality is created. As a part of creative industry, publishing faces the development and demand to change brought by industry 4.0, from business model, product and services innovation, to marketing and target users. This paper explains the development, challenge, opportunity, and effort related profession disruption faced by publishing professionals in industry 4.0 era. The review in this paper was done by conducting literature and empirical studies. The result shows that publishing professionals must strive to transform mindset and work process in publishing world. Those transformation can be achieved by competency improvement through increasing knowledge in publishing management, building coopetition between fellow publishing professionals, and consistent orientation for users’ needs. It is important for publishing professionals to view this phenomenon as a challenge that brings many possibilities for the development towards publishing 4.0 

New Economy, E-Commerce Businesses, and E-Businesses

2020 ◽  
pp. 203-220
Author(s):  
Duygu Toplu Yaşlıoğlu
Keyword(s):  
Business Model ◽  
Business Models ◽  
New Economy ◽  
Electronic Networks ◽  
Doing Business ◽  
New Business ◽  
Digital Environments ◽  
Trade Route ◽  
Almost All ◽  
New Business Models

Electronic commerce and electronic business concepts are highly researched in recent management literature. Network economy has revealed e-commerce, a new trade route that is carried out over the interlinked computers and mobile devices. E-commerce is a method used by almost all businesses that are physically processing. Therefore, there should be a significant distinction between e-business and e-commerce. With the development of e-commerce, new ways of doing business have emerged. Thus, many e-commerce companies have emerged, traditional businesses have started trading in electronic networks, and new business models have begun to be created in digital environments. In order to understand how e-businesses make money, many business models have been studied. For this reason, the concept of business model in the new economy and the transformation of business models into e-business models are examined. In line with this, it is aimed in this chapter to examine e-businesses, to clarify e-business models, and to explain e-commerce types and e-business model types in detail, with examples.

scholarly journals Building new business model from multiple case study research in the Internet of Me

2017 ◽  
Vol 11 (1) ◽  
pp. 852-862
Author(s):  
Roberto Ruggieri ◽  
Francesca Rossetti ◽  
Fabrizio D’Ascenzo ◽  
Lucio Cappelli
Keyword(s):  
Business Model ◽  
Social Life ◽  
Industrial Revolution ◽  
Case Study Research ◽  
Global Scale ◽  
Behavioral Pattern ◽  
Point Of View ◽  
Theoretical Point ◽  
Digital Revolution ◽  
New Business

Abstract The digital revolution has greatly changed the approach to culture, work, leisure time, the way we interact and communicate with people: the digitization of information has taken root and has become essential in all areas of social life as a phenomenon that guides and monitors the transformation of society in all its various forms, bringing great changes in almost all areas and especially in the world of work and industry. One of the core elements of the fourth industrial revolution is the systematic application of IoT technologies (Internet of Things) and IoM (Internet of Me) to production processes on a global scale. This study seeks to identify the main decision in the IoT/IoM pattern innovation, more specifically, the purpose of the paper is primarily an analysis of what are the possible future benefits of IoT and IoM, trying to understand the effort and their opportunities for a consumer oriented business. Then to analyze the competitive advantage that companies are pursuing when they implement a business which is IoT/IoM oriented. Our research aims to address the following two research questions: 1)Does exist a well-structured business model for the companies IoT/IoM service oriented? and 2)Is it possible to standardize behavioral pattern and to draw guidelines for companies who want to start similar strategic management? The research presents two phases methodologically joined between them: from a theoretical point of view it is defined the change from the business model towards the “ecosystem” of business model in the strategy IoT/IoM oriented, and from a empirical point of view the business development of an Italian start-up first mover group in the sectors involved in IoT and IoM revolution, through the direct interview qualitative tool.

scholarly journals Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

2021 ◽  
Vol 7 (1) ◽  
pp. 68
Author(s):  
Mario Rupp ◽  
Max Schneckenburger ◽  
Markus Merkel ◽  
Rainer Börret ◽  
David K. Harrison
Keyword(s):  
Bibliometric Analysis ◽  
Industry 4.0 ◽  
Theoretical Research ◽  
Transfer Of Knowledge ◽  
Digital Revolution ◽  
Novel Approach ◽  
New Business ◽  
Uniform Definition ◽  
Definition Of ◽  
New Research

Industry 4.0 was introduced in 2011 and since then has been perceived in multiple ways such as a vision, a paradigm, a scenario or as a digital revolution in production and service organizations. Even though Industry 4.0 is associated with great improvements for companies, there is still a lack of a uniform definition of the term Industry 4.0, especially when it comes to the transfer of knowledge from theoretical research to the implementation in organizations, which leads to confusion and disaffirmation. The lack of a clear structure and a holistic definition of the research topic Industry 4.0 inhibits the development of new business areas and new research approaches. To target this fundamental gap, a methodology is developed and the 338 most relevant publications are analyzed in the database of ScienceDirect starting from 2015. Based on those publications, the field of Industry 4.0 is structured. A consistent and comprehensive definition for Industry 4.0 is introduced by using a bibliometric analysis. Therefore, existing descriptions are decomposed into word fragments and analyzed. It is shown that this novel approach to find a definition for the term “Industry 4.0” does not yet exist. The aim is to provide a purely objective definition based on a statistical evaluation, without restricting the selection of publications to a specific research or business area. Based on those data, a new and ubiquitous definition of Industry 4.0 is formed, discussed and validated on practical examples.

New Economy, E-Commerce Businesses, and E-Businesses

2021 ◽  
pp. 1-18
Author(s):  
Duygu Toplu Yaşlıoğlu
Keyword(s):  
Business Model ◽  
Business Models ◽  
New Economy ◽  
Electronic Networks ◽  
Doing Business ◽  
New Business ◽  
Digital Environments ◽  
Trade Route ◽  
Almost All ◽  
New Business Models

Electronic commerce and electronic business concepts are highly researched in recent management literature. Network economy has revealed e-commerce, a new trade route that is carried out over the interlinked computers and mobile devices. E-commerce is a method used by almost all businesses that are physically processing. Therefore, there should be a significant distinction between e-business and e-commerce. With the development of e-commerce, new ways of doing business have emerged. Thus, many e-commerce companies have emerged, traditional businesses have started trading in electronic networks, and new business models have begun to be created in digital environments. In order to understand how e-businesses make money, many business models have been studied. For this reason, the concept of business model in the new economy and the transformation of business models into e-business models are examined. In line with this, it is aimed in this chapter to examine e-businesses, to clarify e-business models, and to explain e-commerce types and e-business model types in detail, with examples.

scholarly journals Identifying the Equilibrium Point between Sustainability Goals and Circular Economy Practices in an Industry 4.0 Manufacturing Context Using Eco-Design

2019 ◽  
Vol 8 (8) ◽  
pp. 241 ◽  
Author(s):  
Garcia-Muiña ◽  
González-Sánchez ◽  
Ferrari ◽  
Volpi ◽  
Pini ◽  
...  
Keyword(s):  
Equilibrium Point ◽  
Business Model ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Business Models ◽  
Methodological Approach ◽  
Manufacturing Companies ◽  
Manufacturing Environment ◽  
Enabling Factors ◽  
New Business

For manufacturing companies, the transition to circular business models (CBMs) can be hampered both by the lack of relevant data and by operational tools. Eco-design, associated with Industry 4.0 IoT (Internet of Things) technologies, can be an effective methodological approach in developing products that are consistent with the principles of the circular economy. The reason is that, in the design phase, decisions are made that can significantly influence the degree of sustainability of products during their lifecycle. Therefore, in the manufacturing environment, eco-design represents an innovative approach to include sustainability among the traditional industrial variables such as functionality, aesthetics, quality, and profit. This study aimed to test eco-design as a tool to define the equilibrium point between sustainability and circular economy in the manufacturing environment of ceramic tile production, and to demonstrate how new business opportunities can be created through evolution from a linear to a circular business model, thanks to IoT and Industry 4.0 technologies used as enabling factors. The main result of this paper was the empirical validation in a manufacturing environment of sustainability paradigms through eco-design tools and digital technologies, proposing the circular business model as an operational tool to promote the competitiveness of enterprises.

Commercial transfer – A business model innovation for the entrepreneurial university

2016 ◽  
Vol 30 (3) ◽  
pp. 183-201 ◽  
Author(s):  
Olaf Gaus ◽  
Matthias G. Raith
Keyword(s):  
Business Model ◽  
Economic Value ◽  
Entrepreneurial University ◽  
Incentive Structure ◽  
Model Framework ◽  
Teaching Institution ◽  
Research And Teaching ◽  
New Business ◽  
Knowledge Intensive ◽  
The University

While knowledge-intensive societies rely heavily on universities for the creation of knowledge, its translation into economic value is typically performed by firms in the market. Since universities increasingly depend on additional funds for new and expensive research, current policies urge them to interact proactively with the market. The authors analyse how an entrepreneurial university creates, delivers and captures value by characterizing its business model. They develop a business model of the university as a research and teaching institution, with which they contrast purely private and purely public universities as two business model archetypes to show how these archetypes determine incentive and governance structures. They examine how the inclusion of commercial transfer as the ‘third mission’ affects the university’s income structure and thereby its objective and incentive structure. Within their business model framework, the authors derive strategic implications for the implementation of commercial transfer and the transition to the new business model.

scholarly journals The Influence of Demographic Variables on Empirical Studies Concerning Cio Gender

2021 ◽  
Vol 29 (2) ◽  
pp. 52-64
Author(s):  
Bjarne Erik Roscher ◽  
◽  
Volker Nissen ◽  
Keyword(s):  
Information Technology ◽  
Business Models ◽  
Business Processes ◽  
Demographic Data ◽  
Empirical Studies ◽  
Economic Value ◽  
Disruptive Innovation ◽  
Demographic Variables ◽  
It Department ◽  
New Business

Companies are more and more dependent on information technology (IT) and the buzzword digitization is present everywhere. Some companies are inventing new business models based on disruptive innovation supported by information technology. Others adapt these business models as followers. All these new business processes and underlying information technology need to be managed, serviced, and supported by IT organizations to ensure business continuity. Traditionally heads of the IT department have been fully responsible for all aspects of IT usage in the company – including IT cost, IT governance, IT & process planning and implementation and IT operation. This results in the fact that there is a need of more intensive business-IT alignment to ensure the adequacy of the overall IT architecture in a company and ensure the economic value contribution of IT as a whole. In the last two decades researchers have investigated the area of CIO effectiveness by doing empirical research looking at IT roles/tasks, interaction and strategic importance of IT, personal background of CIOs. As a side effect some researchers have constructed and used demographic variables both as control and causal variables. This article looks on the comparability and the source of such demographic data especially on the case of Gender information and highest academic title. It also discusses the question if survey results could be compared with representative datasets to evaluate validity of the sample and responses of empirical studies.

scholarly journals Virtualization-Based Digitization of a Retail Store: An Enhanced Implementation of Digital Transformation

2021 ◽  
Vol 10 (11) ◽  
pp. 133-136
Author(s):  
B.K Praveen Kumar ◽  
◽  
Dr. K. Santhi Sree ◽  
Keyword(s):  
Machine Learning ◽  
Retail Store ◽  
Digital Transformation ◽  
Machine Learning Algorithms ◽  
Cloud Services ◽  
Seamless Integration ◽  
Digital Revolution ◽  
Host Machine ◽  
New Business ◽  
Almost All

The rise of neoteric technologies like Machine Learning, the Internet of Things, Cloud Services, etc has affected the life of a common man at various levels. Irrespective of the size or domain, almost all companies are now incorporating digitization to various degrees and thus progressing towards a new business model with little or no significance to geographical and physical barriers. This shift from traditional store models to automated entities is referred to as Digital Transformation. It is the simplified way of outlining how digital technologies are transforming and automating business operations across all organizations irrespective of their domain. This digital revolution relies on a whole range of machinery, networks, services, and operations to expand their power of communication, thus ensuring seamless integration with the technologies. At this juncture, there would be many challenges in both technical and non-technical aspects. To facilitate successful automation by resolving those issues, using the concept of virtualization can be very helpful. Virtualization is the process of creating a virtual instance of hardware resources like virtual applications, servers, or storage by logically separating them from the hardware. It enables multiple applications or operations to gain access to the hardware resources/ software resources of the host machine. In a sense, virtualization is always at the center of all this revolution providing a rock-solid foundation. For example, when digitizing an organization, machine learning algorithms are applied to the IoT data in addition to the organizational data. Given the huge size of data, companies adapting to this automation rely on cloud services for data management because of the reliability it provides. This issue is solved using the Edge Computing concept which is an advanced implementation of Virtualization. In this paper, we try to discuss such challenges and try to understand how virtualization can be useful in solving them. This can be exemplified using a hypothetical digitalization in a retail store scenario.

Mit Industrie 4.0 zu Geschäftsmodellinnovationen*/Innovative business models based on Industry 4.0 - An approach to develop industry-specific business models

2015 ◽  
Vol 105 (03) ◽  
pp. 79-83
Author(s):  
T. Bauernhansl ◽  
A. Schatz
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Industry 4.0 ◽  
Business Models ◽  
Research Area ◽  
Industrie 4.0 ◽  
Industrial Internet ◽  
New Business ◽  
Model Context ◽  
New Business Models

Im Forschungsfeld Industrie 4.0 sind neben dem weiteren Optimieren der Wertschöpfung produzierender Unternehmen vor allem Potentiale durch neue Geschäftsmodelle zu erwarten. Letztere werden jedoch oft nicht weiter konkretisiert. Die systematische Integration des Themas Industrie 4.0 in den Geschäftsmodellkontext steht noch am Anfang. Der Beitrag stellt eine Vorgehensweise zur Entwicklung branchenspezifischer Geschäftsmodellszenarien am Beispiel des Maschinen- und Anlagenbaus vor.   The research area of Industry 4.0 or Industrial Internet offers great potential, ranging from the optimization of a company’s own value creation to new business models. The latter have rarely been specified. The systematic integration of Industry 4.0 aspects into the business model context has only just begun. This paper illustrates an approach for the development of industry-specific business model scenarios, exemplified by the machinery and equipment sector.

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