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

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.

2019 ◽  
Vol 11 (2) ◽  
pp. 391 ◽  
Author(s):  
Vinit Parida ◽  
David Sjödin ◽  
Wiebke Reim

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.


2018 ◽  
Vol 10 (11) ◽  
pp. 3952 ◽  
Author(s):  
Sarah Cheah ◽  
Yuen-Ping Ho ◽  
Shiyu Li

In the service sector, technological innovation is typically dominated by suppliers, and hence involves external knowledge that can be easily acquired and imitated by competitors. However, innovation that can sustain superior performance in retail and hospitality firms tends to be internal and non-technical, involving business models. Building on the perspectives of the resource-based view and dynamic capability, this study aims to understand how industry turbulence in retail and hospitality affects the sustainable competitive advantage of the firms operating in these service industries. Based on a quantitative study of 214 retail and food services companies, our study has empirically demonstrated that firms operating in an industry with high turbulence have a higher probability of achieving a sustainable competitive advantage. Second, our findings establish that a firm’s business model innovation (BMI) activities partially mediate this positive relationship. This suggests that BMI plays a role in enhancing the firm’s ability to address the challenges of the present, as well as prepare itself to adapt to the industry evolution and revolution of the future. BMI not only influences the acquisition and application of external innovations, it also affects the generation of internal innovations.


2022 ◽  
Vol 2 ◽  
Author(s):  
Francies Diego Motke ◽  
Clandia Maffini Gomes ◽  
Jordana Marques Kneipp ◽  
Ana Paula Perlin ◽  
Luana Inês Damke ◽  
...  

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.


Author(s):  
Jaehun Lee ◽  
Taewon Suh ◽  
Daniel Roy ◽  
Melissa Baucus

Artificial intelligence (AI) has been altering industries as evidenced by Airbnb, Uber and other companies that have embraced its use to implement innovative new business models. Yet we may not fully understand how this emerging and rapidly advancing technology influences business model innovation. While many companies are being made vulnerable to new competitors equipped with AI technology, this study attempts to focus on the proactive side of the use of AI technology to drive business model innovation. Describing AI technology as the catalyst of business model innovation, this study sheds light on contingent factors shaping business model innovation initiated by the emerging technology. This study first provides a brief overview of AI, current issues being tackled in developing AI and explains how it transforms business models. Our case study of two companies that innovated their business models using AI shows its potential impact. We also discuss how executives can create an innovative AI-based culture, which rephrases the process of AI-based business model innovation. Companies that successfully capitalize on AI can create disruptive innovation through their new business models and processes, enabling them to potentially transform the global competitive landscape.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Natasha Saqib ◽  
Mir Shahid Satar

Purpose Emerging markets are witnessing rapid changes in their economy owing to the ongoing liberalization and globalization. India, as one of the emerging markets in south Asia, is also experiencing a dramatic change in its business ecosystem. This poses huge opportunities to the companies, both start-ups and established ones. In this direction, the business model innovation offers a strategic renewal mechanism. The study aims to explore the practices of an online transport network company (OLA) creating a distinctive place for itself in Indian taxi service sector. Design/methodology/approach Methodologically, an exploratory case study of an India-based online transport company (OLA) business model innovation is reported. Findings This paper reveals that OLA has been able to gain competitive advantage in the Indian emerging market by developing an innovative business model with its distinctive features of personalised customer service, asset sharing, usage-based pricing, collaborative ecosystem, agile and adaptive organising and successful expansion strategies. Research limitations/implications This study adds to current knowledge concerning the theoretical foundations and antecedents of business model innovation as a competitive advantage. The paper is explorative in nature because the analysis is mostly based on literature review. Furthermore, in consideration of the analysis of business model of a single company, further research is required to generalize the results. Practical implications The understanding of the intricacies of business model innovation can be of great concern to existing and prospective managers and entrepreneurs of emerging markets. Originality/value The paper discusses the features of innovative business models and how firms can make their business models more relevant to the competitive markets. As such, the study is hopeful to aid practitioners engaged in the pursuit of beating the competition with innovation driven business models.


Author(s):  
Juliana Zapata Riveros ◽  
Matthias Speich ◽  
Mirjam West ◽  
Silvia Ulli-Beer

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.


Author(s):  
Anastasia Nikitaeva ◽  
Natalia Kiseleva

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.


Author(s):  
Don Scott-Kemmis

This chapter presents the case for a wider understanding of innovation beyond technology and beyond novel products and processes. It examines the dynamics of Business Model Innovation, which refers to fundamental changes to the total formula for business success. New approaches to value creation and appropriation through business model innovation are particularly vital in times of turbulence and realignment faced by firms in high cost operating environments. Business model innovation can create new and sustainable sources of competitive advantage for firms, securing their survival and growth. The chapter discusses the evidence for the role of business model innovation in the growth of leading firms and in the restructuring of markets. It provides an overview of the frameworks for characterising and analysing business models. The options for different types of business models likely to be successful in high cost environments are described.


Author(s):  
Juliana Zapata Riveros ◽  
Matthias Speich ◽  
Mirjam West ◽  
Silvia Ulli-Beer

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.


2020 ◽  
Vol 13 (1) ◽  
pp. 135-152 ◽  
Author(s):  
Chay Brooks ◽  
Cristian Gherhes ◽  
Tim Vorley

Abstract Recent technological developments in automation and artificial intelligence (AI) promise to disrupt the very foundations of how legal work is practised and delivered. Yet how they challenge current business models, where they encounter resistance and how the benefits of AI can be realised remain unexplored. Drawing on interviews with professionals in the UK legal services sector, the article highlights how technological and market pressures combine to challenge the business models of legal services firms. However, the findings reveal important cultural and structural challenges that hamper transformation. The article extends the debate on technological disruption in legal services through a focus on business model innovation as a tool that can support firms in the sector to reimagine legal services provision.


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