Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective

2019 ◽  
Vol 141 ◽  
pp. 341-351 ◽  
Author(s):  
Alejandro G. Frank ◽  
Glauco H.S. Mendes ◽  
Néstor F. Ayala ◽  
Antonio Ghezzi
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Business Model Innovation ◽  
Digital Transformation

scholarly journals The role of high-performance people management practices in Industry 4.0: the case of medium-sized Spanish firms

2020 ◽  
Vol 15 (3) ◽  
pp. 190 ◽  
Author(s):  
Daniel Llinas ◽  
Jesus Abad
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
High Performance ◽  
Management Practices ◽  
Business Model Innovation ◽  
Digital Transformation ◽  
Strongly Correlated ◽  
Radar Screen ◽  
The Relationship

Purpose: This paper wants to build the case for the key role of high-performance people management practices in the development of I4.0 in SMEs. The research upon which this paper is based wants to prove that the consolidation of those practices should be a priority for any company willing to embark in this journey. The paper deals specifically with medium-sized Spanish firms which, on top, are already having significant issues with digitization.Design/methodology/approach: The paper starts by digging into the literature to see how past technologies have impacted productivity, followed by a review of the material available on digitization and Industry 4.0. It moves on to explore the relationship between people management practices, productivity and innovation. Finally, the focus is placed on Spanish medium-sized companies, understanding their current levels of consolidation of high-performance people management practices as well as digitization. With all this information, several propositions are posited for validation using the Delphi methodology.Findings: I4.0 is, at its core, about productivity improvements through business process and business model innovation. People management practices are found to be strongly correlated with both productivity and innovation. It has also been found that Spanish medium-sized firms already have a significant initial gap compared to those of other OECD countries not only in productivity, but also people management practices and digitization. The experts seem to agree on the key role of people management practices and that they should be a high priority for any firm seriously thinking about industry 4.0.  This is not to say that strategy or leadership will not play a paramount role in any digital transformation, but to emphasize the fact that the normally-forgotten people management practices will be important enablers in this process.Originality/value: It is believed that  this is a topic that has been mostly neglected in the I4.0 literature. In that sense, the findings of this paper could be relevant for small and medium-sized businesses embarking on the industry 4.0 journey. This will entail a significant investment of time and money and, if the key role of people management practices is not on the radar screen, it may have significant implications for the success of those ventures.

Converging and diverging business model innovation in regional intersectoral cooperation–exploring wine industry 4.0

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marc Dressler ◽  
Ivan Paunovic
Keyword(s):  
Qualitative Research ◽  
Business Model ◽  
Industry 4.0 ◽  
Business Models ◽  
Business Model Innovation ◽  
Digital Transformation ◽  
Wine Industry ◽  
Research Approach ◽  
Content Type ◽  
Intersectoral Cooperation

PurposeIndustry 4.0, the integrated digital process world in production, is an under researched area. Especially for the wine industry, 4.0 theoretical base up to date is weak, impeding further digital transformation of the wine industry. Some basic-level digital capabilities exist in most of the researched business models, which is why further digital transformation requires strategic redefining of business models in order to further transform the whole industry.Design/methodology/approachA qualitative research approach based on the concept of business model innovation (BMI) has been deployed in order to identify business models and consensus building between industry´s stakeholders. Semistructured interviews delivered primary data.FindingsThe diversity of existing business models in the wine industry as well regarding BMI is confirmed, where each one occupies a specific place in the innovation ecosystem for Industry 4.0.Research limitations/implicationsThis qualitative research is exploratory and directed toward theory building. The findings confirm the importance of environmental scanning and market sensing for convergent technologies as well as the need to develop core value proposition.Practical implicationsThis study has important implications for companies and their capabilities inside wine industry 4.0, while its main practical value being a systematical organization of weak signals to support small entrepreneurs’ transition to digitalization and Industry 4.0Originality/valueThe paper nourishes the theory on innovation trajectories for Industry 4.0 by including previously unidentified BMIs and a convergence–divergence continuum on the example of wine Industry 4.0.

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.

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