scholarly journals Reconfiguration of Business Models of Industrial Enterprises: Vectors of Increasing Sustainability in the New Realities

2021 ◽  
pp. 110-120
Author(s):  
Anastasia Nikitaeva ◽  
Natalia Kiseleva
Keyword(s):  
Business Model ◽  
Business Models ◽  
Digital Technologies ◽  
Ecosystem Approach ◽  
Business Model Innovation ◽  
Manufacturing Companies ◽  
Structural Components ◽  
Industrial Enterprises ◽  
Industrial Companies ◽  
Literary Sources

The purpose of the article is to study the priority areas of reconfiguration of business models of industrial enterprises to solve the problem of increasing their stability in an unstable economic situation. The paper reveals the essence and structural components of business models. It is proved based on the analysis of literary sources that the business model with the help of narratives, figures, and graphic models describes how the organization creates, delivers, and captures value in the existing context. With this in mind, the key vectors of business model innovation of industrial companies using the potential of Industry 4.0 technologies are identified. First, the possibilities of transforming business models based on the introduction of digital technologies as drivers of transformation (blockchain, Internet of Things, Artificial intelligence, etc.) are justified, and the feasibility of complex application of digital technologies for business model innovation is established. Secondly, the content of the reconfiguration of business models in line with the ecosystem approach and the creation of open digital ecosystems of economic entities in the industrial sphere is revealed. Third, the importance of creating circular business models of industrial companies that reflect the transition from the classical linear model of production to the closed-cycle model is justified. It is determined that together these vectors of reconfiguration of business models of industrial enterprises will ensure the growth of the sustainability of manufacturing companies as a result of the growth of the connectivity of the environment, resource efficiency, and data-driven “smart” management.

scholarly journals Analysis of business models innovation – a multiple case study

2019 ◽  
Vol 16 (1) ◽  
pp. 17-35 ◽  
Author(s):  
Moema Pereira Nunes ◽  
Ana Paola Russo
Keyword(s):  
Business Model ◽  
Business Models ◽  
Multiple Case Study ◽  
Business Model Innovation ◽  
Manufacturing Companies ◽  
Content Type ◽  
Analysis Technique ◽  
New Business ◽  
Multiple Case

Purpose This paper aims to analyze the business model innovation in medium and large Brazilian manufacturing companies located in Rio do Sul State. Design/methodology/approach A holistic multiple case study in five companies was developed. Data were collected through interviews and analyzed according to the content analysis technique. Findings The main motivation to business model innovation was the innovation in products and services, while the difficulties were the factors relating to the cost. The most common practice among cases was innovation in value proposition and the most widely used method was learning-by-searching. While part of the theory was demonstrated in the case studies, new motivations and practices were identified. The investigation of the learning process on business models’ innovation is pioneered in this study. Further studies on this subject are required. Originality/value New business models are likely to provide new opportunities to better address customer needs, generating differentiating itself from its competitors. It is a subject little investigated in the international context, and there are no studies to investigate the experience of Brazilian companies.

scholarly journals SUSTAINABLE INNOVATION OF INDUSTRIAL COMPANIES

2018 ◽  
Author(s):  
Iveta Simberova ◽  
Ales Krmela ◽  
Peter Kita
Keyword(s):  
Business Model ◽  
Business Models ◽  
Systems Approach ◽  
Industrial Enterprises ◽  
Industrial Companies ◽  
Literary Source ◽  
Sustainable Innovation ◽  
Dynamic Perspective ◽  
New Space ◽  
Changes Over Time

The objective of the paper is to dynamically capture the changes and trends in the innovation of business models of industrial enterprises, which owing to the incorporation of any other potential stakeholders in value creation, addresses the issue of limited resources for product innovation. The methodological objectives of the paper are based on the theory of systems approach and the Re-source Base View (RBV). A primary literary source review on papers and studies published in peer-reviewed journals has been conducted. Our view, which has received increasing attention in the scien-tific literature, is associated with opportunities, but also barriers arising from the changes and trends in the environment as a challenge for sustainable innovation of the business model by means of finding a new space for innovation in areas where competition is not active. The main output show, that business models should be viewed from a dynamic perspective. The basis for this is the prospect of developing or innovating of the business model as a result of internal and external changes over time.

Managing business model innovation: an innovative approach towards designing a digital ecosystem and multi-sided platform

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nino Bernd Hoch ◽  
Stelian Brad
Keyword(s):  
Business Model ◽  
Business Models ◽  
Design Science ◽  
Digital Technologies ◽  
Business Model Innovation ◽  
Added Value ◽  
Structured Interviews ◽  
Behavioural Science ◽  
Content Type ◽  
Digital Ecosystem

PurposeThis study aims to increase understanding regarding the transformation of traditional business models, integrating digital technologies. The significance of digitisation within business models has increased dramatically in recent years. Because of this, new knowledge on how to transform traditional business models into digital business models in a systematic way is needed. Digital technologies, embedded in previously non-digital goods, force companies to rethink their business models.Design/methodology/approachA design science research methodology was chosen for this study. A literature review and semi-structured interviews served as the theoretical foundation to integrate behavioural science into the design science process. From the design science perspective, an artefact is introduced to provide an architectural framework to manage business model innovation in a systematic way. The artefact's application is demonstrated through a case study conducted at a real company and evaluated afterwards by means of structured interviews with experts.FindingsThe authors propose a highly useable and valuable conceptual framework for systematic business model innovation. However, one limitation of the research is that it was conducted among construction professionals in Germany, and so the result might not hold true for other firms or industry branches.Research limitations/implicationsThe research was conducted among construction professionals in Germany, and this acts as a limitation, as the result might not hold true for other firms or industry branches.Originality/valueThe purpose of this study is to provide managers with a framework for business model innovation, helping them systematically integrate digital technologies to create customer-added value. The proposed framework presents an innovative conceptual analysis of systematic business model innovation, which has not been addressed in prior studies.

scholarly journals Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises

2019 ◽  
Vol 11 (2) ◽  
pp. 391 ◽  
Author(s):  
Vinit Parida ◽  
David Sjödin ◽  
Wiebke Reim
Keyword(s):  
Business Model ◽  
Data Exchange ◽  
Business Models ◽  
Predictive Analytics ◽  
Business Model Innovation ◽  
Research Field ◽  
Future Research ◽  
Special Issue ◽  
Value Capture ◽  
Industrial Companies

Digitalization is revolutionizing the way business is conducted within industrial value chains through the use of Internet of Things (IoT) technologies, intensive data exchange and predictive analytics. However, technological application on its own is not enough; profiting from digitalization requires business model innovation such as making the transition to advanced service business models. Yet, many research gaps remain in analyzing how industrial companies can leverage digitalization to transform their business models to achieve sustainability benefits. Specifically, challenges related to value creation, value delivery, and value capture components of business model innovation need further understanding as well as how alignment of these components drive sustainable industry initiatives. Thus, this special issue editorial attempts to take stock of the emerging research field through a literature review and providing a synthesis of special issue contributions. In doing so, we contribute by developing a framework that communicates and sets the direction for future research by linking digitalization, business model innovation, and sustainability in industrial settings.

scholarly journals Circular Business Model Innovation and Its Relationship With Business Performance in Brazilian Industrial Chemical Companies

2022 ◽  
Vol 2 ◽  
Author(s):  
Francies Diego Motke ◽  
Clandia Maffini Gomes ◽  
Jordana Marques Kneipp ◽  
Ana Paula Perlin ◽  
Luana Inês Damke ◽  
...  
Keyword(s):  
Business Model ◽  
Business Performance ◽  
Business Models ◽  
Business Model Innovation ◽  
Superior Performance ◽  
Industrial Companies ◽  
Industrial Chemical ◽  
Market Production ◽  
Production Economic ◽  
Chemical Companies

This study aimed to analyze the relationship between circular business model innovation and business performance in Brazilian industrial chemical companies. This is a quantitative study carried out through a survey with Brazilian industrial companies. Based on a homogeneity analysis (Homals), the results showed that the high degree of innovation in business models from the adoption of circular economy (CE) strategies in the analyzed companies confirms that a significant change leads to superior performance, especially in market, production, economic and financial, and social.

scholarly journals INTERNET OF THINGS BUSINESS MODEL INNOVATION AND THE STAGE-GATE PROCESS: AN EXPLORATORY ANALYSIS

2017 ◽  
Vol 21 (05) ◽  
pp. 1740002 ◽  
Author(s):  
JAN F. TESCH ◽  
ANNE-SOPHIE BRILLINGER ◽  
DOMINIK BILGERI
Keyword(s):  
Business Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Research Field ◽  
Future Research ◽  
Expert Interviews ◽  
Manufacturing Companies ◽  
Decision Points ◽  
Starting Point ◽  
High Level

Large manufacturing companies will in future be continuously challenged to develop and implement new IoT-related business models. Existing research offers interesting insights on high-level stages of business model innovation (BMI) processes in general. However, only little is known about the presence of main gates in BMI processes and even less about the underlying decision criteria applied at these gates. To shed more light on this research field, 27 expert interviews with employees from eight companies across the IoT ecosystem were conducted. The expert interviews reveal that, despite the increasing popularity of (radically) new innovation approaches, two main decision points can be identified across BMI processes. These findings are a first explorative step towards a better understanding of IoT adoption and provide a starting point for interesting future research avenues.

How to harnesses digital technologies for pursuing business model innovation: a longitudinal study in creative industries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anjar Priyono ◽  
Baziedy Darmawan ◽  
Gunawan Witjaksono
Keyword(s):  
Case Studies ◽  
Business Model ◽  
Business Models ◽  
Digital Technologies ◽  
Business Environment ◽  
Business Model Innovation ◽  
Creative Industries ◽  
Future Research ◽  
Developed Country ◽  
Content Type

Purpose This study aims to investigate how manufacturing firms in the creative industries harness digital technologies to undertake business model innovation. Design/methodology/approach This study used in-depth case studies to examine the complex interplay between digital technologies and business model innovation. A longitudinal approach was selected to capture major events both within the firm and in the business environment. Building on the firm’s archival data, interviews and secondary data that was available to the public, the authors carefully analyzed impactful digital technology events and the firm’s responses to the technological changes that occurred over the period of 2004–2020. Findings The findings suggest that digital technologies alone are not sufficient for business model innovation to be successful; support from sociotechnical factors is also required. Additionally, firms should reinvent a new business model when the existing ones seem to start to diminish. Research limitations/implications In this study one firm was examined as the subject, using a qualitative method. This method allowed us to observe complex interplays among the resources required in business models. Future research can combine qualitative methods with computational case studies, which utilize a large volume of quantitative big data. Practical implications The results of this study suggest that managers must ensure that the resources within and outside organizations are loosely connected and are readily available to be mobilized for supporting business model innovation. To enable this, managers must prepare the required resources in advance. Originality/value The current findings add to a growing body of literature on business model innovation and digital technologies. In particular, this study describes the process of how a traditional firm from a least developed country pursues business model innovation with the support of digital technologies.

scholarly journals Digital Business Model Innovation: Empirical insights into the drivers and value of Artificial Intelligence

2021 ◽  
Vol 21 ◽  
pp. 63-75
Author(s):  
Johannes Winter
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Service Sector ◽  
Business Models ◽  
Business Model Innovation ◽  
Business Success ◽  
Successful Implementation ◽  
Related Services ◽  
Industrial Companies ◽  
Order Books

The business activities of traditional industrial companies have commonly focused on products and product-related services. Digital pioneers have evolved their offerings into product-service systems that are networked, intelligent, personalized, and adaptable. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players better today than tomorrow to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business model innovation in industry and the service sector and to enrich it with practical examples of the successful implementation of artificial intelligence in products and services.

scholarly journals Combining Business Model Innovation and Model-based Analysis to Tackle the Deep Uncertainty of Societal Transitions – A Case Study on Industrial Electrification and Power Grid Management

2021 ◽  
Author(s):  
Juliana Zapata Riveros ◽  
Matthias Speich ◽  
Mirjam West ◽  
Silvia Ulli-Beer
Keyword(s):  
System Dynamics ◽  
Business Model ◽  
Business Models ◽  
Innovation System ◽  
Business Model Innovation ◽  
Deep Uncertainty ◽  
Electrical Grid ◽  
Industrial Companies ◽  
New Business ◽  
Combination Of Methods

Creating new business models is crucial for the implementation of clean technologies for industrial decarbonization. With incomplete knowledge of market processes and uncertain conditions, assessing the prospects of a technology-based business model is challenging. This study combines business model innovation, system dynamics and exploratory model analysis to identify new business opportunities in a context of socio-technical transition and assess their prospects through simulation experiments. Furthermore, insights are visualized in a roadmap to coordinate action among the actors involved. This combination of methods is applied to the case of a business model aiming at ensuring stability of the electrical grid by centralizing the management of flexible loads in industrial companies. A system dynamics model was set up to simulate the diffusion of flexible electrification technologies. Through scenario definition and sensitivity analysis, the influence of internal and external factors on diffusion was assessed. Results highlight the central role of energy costs and customer perception. The chosen combination of methods allowed the formulation of concrete recommendation for coordinated action, explicitly accounting for the various sources of uncertainty. We suggest testing this approach in further business model innovation contexts.

scholarly journals Blessing or curse: Does digitalization foster business model innovation? Evidence from a quantitative empirical study

2020 ◽  
Vol 1 (2) ◽  
pp. 44-65
Author(s):  
Patrick Ulrich ◽  
Alexandra Fibitz
Keyword(s):  
Empirical Study ◽  
Business Model ◽  
Quantitative Study ◽  
Business Models ◽  
Digital Technologies ◽  
Business Model Innovation ◽  
Digital Transformation ◽  
Business World ◽  
Digital Strategy ◽  
The Relationship

This study analyses whether and how digital transformation affects business models. Digitalization influences businesses regardless of size, industry, and structure. Thus, companies are often forced to rethink their value architecture in order to remain competitive and not vanish from the business world. Therefore, deepening the understanding of the relationship between digitalization and business models is of utmost importance for both practice and academia. We examine the interdependencies of the utilization of digital technologies and the execution of a digital strategy on business model innovation, and the extent to which the digitalization level is influencing this relation. Furthermore, we depict the results from a quantitative study among a sample of 166 German companies. The results indicate that business model innovation is positively influenced by a higher pursuit of digital technologies and the adoption of certain digital strategies. The digitalization cluster further stresses the importance of digital actions for the companies’ sustainability.

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