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.

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 Transformation of the world job market in the conditions of the Fourth Industrial Revolution

2021 ◽  
pp. 8-28
Author(s):  
Elena Viktorovna Shirinkina
Keyword(s):  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Job Market ◽  
Scientific Publications ◽  
Job Management ◽  
Business News ◽  
Fourth Industrial Revolution ◽  
The World ◽  
The Impact

The relevance of this research is substantiated by the fact that the world job market is currently under the influence of the Fourth Industrial Revolution (Industry 4.0). The goal lies in assessing the impact of cyclic and unexpected trends upon the job market, and thus, the forms of job management and employment functions. In this regard, analysis is conducted on the academic theories in the context of conceptualization of the impact of Industry 4.0 upon the job market and employment functions. The long-term trends in transformation of the job market are determined. The empirical basis of this research is comprised of the statistical data provided by Rosstat and the Ministry of Science and Higher Education of the Russian Federation, as well as the resources of analytical articles and scientific publications, including the materials of international organizations, leading consulting companies, global associations, leading educational institutions, other active participants of global educational environment, and job market experts. An overview is given to the trends that affect the companies, their strategies and business models; the impact of such trends upon the transformation of current professions and the emergence of new professions; skills required for these professions. The scientific novelty lies in substantiation of the concept of skill-biased technical change (SBTC) and the theory of routine-biased technological change (RBTC). The presented materials would allow the companies to combine business news with fundamental training of specialists for going along the new career trajectiory in light of the new technological challenges, which defines the practical value of this research.

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.

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 Research of the Influence of the Innovations of the Business Models on the Economic Results of the Enterprises

2021 ◽  
Vol 27 (4) ◽  
pp. 567-579
Keyword(s):  
Empirical Study ◽  
Business Model ◽  
Business Models ◽  
Positive Impact ◽  
Relevant Literature ◽  
Practical Significance ◽  
Future Research ◽  
Scientific Publications ◽  
Innovation Capacity ◽  
The Impact

An expanding amount of research and a growing number of scientific publications are devoted to the problems of business model innovations, given their increased theoretical and practical significance. However, this concept is not well developed. There are very few publications in Bulgaria dedicated to the theory of business models and in particular to their innovation. A study of the processes of innovation of business models in Bulgarian enterprises, including their activity and the actual results achieved by their implementation, has not yet been made. In view of this, the purpose of this article is to briefly present the results of a study of the effects of business model innovation, conducted in a sample of Bulgarian enterprises, as well as to clarify their impact on the economic results of enterprises. The results of the empirical study demonstrate the impact of the innovation capacity of enterprises on the level of economic results achieved through these innovations. The main hypotheses of the study are: 1. Firms that innovate their business models achieve higher economic results than the average level of results for the respective industries. 2. The positive impact of business model innovations on the economic results of enterprises is stronger than the impact of individual innovations of another kind. 3. The economic results of the conducted innovations of the business models are higher in the industries with high innovation capacity than in the industries with low capacity. 4. The economic results of the conducted innovations of the business models are higher in the big enterprises than in the small and medium enterprises with lower innovation capacity. The authors hope that this article would provoke a discussion on these and other similar issues related to this topic. The results would assist future research as well as business leaders in making management decisions in developing strategies. The paper is organized as follows: Section 1 is a introduction and a overview of relevant literature, Section 2 explains the methodology, Section 3 presents the results of the empirical study and a discussion of the results and Section 4 contains the conclusion.

How Business Models Evolve in Weak Institutional Environments: The Case of Jumia, the Amazon.Com of Africa

2021 ◽  
Author(s):  
Augustine Awuah Peprah ◽  
Claudio Giachetti ◽  
Marcus M. Larsen ◽  
Tazeeb S. Rajwani
Keyword(s):  
Business Model ◽  
Process Model ◽  
Business Models ◽  
Institutional Environment ◽  
New Ventures ◽  
Institutional Voids ◽  
Online Retailing ◽  
Considerable Uncertainty ◽  
Advance Research

We advance research on the antecedents of business model design by integrating institutional and imitation theories to explore how the business model of new ventures evolves in a weak institutional environment. Based on a case study of Jumia—an online retailing company in Africa established with the aim to emulate the success of Amazon.com—we propose a process model entitled “imitate-but-modify” that explains how business models evolve through four distinct phases (i.e., clarification, legitimacy, localization, and consolidation). In essence, this model explains how new ventures surrounded by considerable uncertainty deliberately seek to learn vicariously by imitating the business model template of successful firms. However, because of significant institutional voids, the ventures’ intentional imitation is progressively replaced by experiential learning that blends business model imitation with innovation.

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.

scholarly journals A confluência das tecnologias I.4.0 e novos modelos de negócio: uma revisão sistemática de literatura

2021 ◽  
Vol 9 (3) ◽  
pp. 664-689
Author(s):  
Josélia Elvira Teixeira ◽  
Ana Teresa Tavares-Lehmann
Keyword(s):  
Literature Review ◽  
Business Model ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Business Models ◽  
Relevant Literature ◽  
Business Economics ◽  
Digital Business Models ◽  
The Creation

Objective of the study:  The study’s objective is to provide a systematic literature review on the coevolution of the Technologies associated to Industry 4.0 and business models.Methodology/approach: The research was built on conceptual blocs at the interface between Industry 4.0 (I 4.0), business models (BM) and digitalization /digital business models (DBM) in order to identify relevant trends. Through bibliometric techniques, 80 articles were selected from Scopus and WoS, using specialized software.Originality/ Relevance: Few studies exist on the interface under analysis. This article contributes to this emerging literature, providing a synthesis of such literature, including both a detailed descriptive component and an analysis of the main thematic clusters associated to this interface.Main results:  The literature still needs to evolve into a framework of a 4.0 business model. The majority of the existing studies focus on business models to specific technologies associated to Industry 4.0. Among the 80 articles scrutinized, 56 were associated to business models and I4.0, and 24 linked business models and digitalization. Few really described a business model that could be characterized as an I4.0 business model.Theoretical/methodological contributions: Identification of key studies underlying the elaboration of an innovative business model associated to I4.0. An immediate and useful characterization of the literature. Identification of the main thematic clusters.Social/management contributions: To provide academics and professionals (especially in Business/Economics) with a detailed and thorough review of the most relevant literature, including the main aspects underlying the creation of innovative business models based on I4.0.

IMITATION PROCESSES AND THEIR APPLICATION FOR BUSINESS MODEL INNOVATION: AN EXPLORATIVE STUDY

2013 ◽  
Vol 17 (01) ◽  
pp. 1340005 ◽  
Author(s):  
ELLEN ENKEL ◽  
FLORIAN MEZGER
Keyword(s):  
Transformative Learning ◽  
Business Model ◽  
Process Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Learning Processes ◽  
Value Proposition ◽  
Explorative Study ◽  
Model Components ◽  
Functional Experience

The purpose of this paper is to investigate the approach of imitation (across industry boundaries) on business models. We analyzed nine case studies of firms that introduced breakthrough business models by transferring and adapting characteristic business model components of other industries. Our results show that companies can facilitate cross-industry innovation on business model level through a process of abstraction, analogy identification and adaptation. Imitation is realized by deconstructing and mapping business model components based on their contribution to abstract, generic elements of the value proposition. We propose a systematic process model for business model innovation analyzing structural similarities between industries on the level of these abstract elements linked to specific other components of the business model. Firms can leverage this process by transformative learning processes, especially provided through a broad industrial and functional experience of members in business model innovation teams.

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