Designing new business models: blue sky thinking and testing

Wrigley, Cara; Bucolo, Sam; Straker, Karla

doi:10.1108/jbs-04-2015-0041

Cited by 23 publications

(7 citation statements)

References 9 publications

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“…Maintaining a portfolio of experimentations of new business models, even when BMI is settled (e.g., experimenting with alternative sales channels, testing servitization or the more recent platformification, 3 and even exploring alternative target customers/segments), has proved to be effective against a crisis like COVID-19 (Andries et al, 2013 ). In the same vein, experimentation is a vital activity when high-speed innovation is of great concern (Tuulenmäki & Välikangas, 2011 ; Wrigley & Straker, 2016 ; Wrigley et al, 2016 ). Experimentation means testing hypotheses and assumptions by using specific plans and procedures (Reymen et al, 2017 ).…”

Section: Identifying Bmi Processesmentioning

confidence: 99%

Business model innovation: a review of the process-based literature

et al. 2021

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Research on business model innovation (BMI) processes is blossoming and expanding in many directions. Hence, the time is ripe to summarize and systematize this body of knowledge for the benefit of current and future BMI scholars. In this article, we take stock of the current literature to clarify the concept of a BMI process, develop a categorization scheme (a “BMI process framework”), and discuss future research possibilities. Building on a systematic literature review of 114 papers, our categorization delineates different types of BMI processes and corresponding sub-processes. Moreover, we develop a framework that illustrates how BMI processes are interrelated and interconnected. Finally, we identify the main process-related research gaps in BMI research and provide directions for future research that emerge from our categorization and discussion.

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Section: Identifying Bmi Processesmentioning

confidence: 99%

Business model innovation: a review of the process-based literature

et al. 2021

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“…There is a considerable agreement among the researchers and practitioners on the view that innovation is closely related not only to a firm's sustainability but also to the sustainability of the whole business environment [4]. The ability to innovate is also said to be an attribute of the companies that aim to improve their competitive advantage while supporting sustainability in the long term [5,6]. In the relevant literature, company competitiveness is discussed from several perspectives, however generally the ability to generate several types of innovations is perceived as a very significant source of a firm's competitive advantage as well as a firm's sustainability [7,8].…”

Section: Introductionmentioning

confidence: 99%

Exploring Determinants of Innovation Capability in Manufacturing Companies Operating in Poland

Sudolska

Łapińska

2020

Sustainability

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The innovation capability of a company is considered the determinant of its competitiveness in the long-term. Therefore, it is of increasing importance to understand the critical variable behind a firm’s innovation capability. The paper explores these issues and contributes to the research on the factors that drive a company’s innovation capability. The aim of the paper is to identify which factors determine the innovation capability of manufacturing enterprises operating in Poland. In the theoretical part, it provides an overview of recent contributions to the literature on a company’s innovation capability enhancers. The empirical contribution of the paper refers to recognising the relationship between the certain practices pursued by Polish manufacturing enterprises and their innovation capability measured by innovation output. Using a model for panel data, the study finds that that the factors driving innovation capability of manufacturing enterprises operating in Poland are the following: inter-organisational cooperation, hiring employees in research and development (R&D) activities as well as firms’ internal expenditures on R&D. The study is based on the data from publications of the Central Statistical Office of Poland, which contain information on the activities of manufacturing enterprises and reports presenting the results of research on the innovation capability of enterprises.

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“…Moreover, to the best of the authors' knowledge, the consulted literature does not provide an integrative view of these factors. Thus, there is a need to better understand the whole, by integrating all the different influence factors, to contribute to the business model innovation initiatives success rate (Keller et al, 2017;Wrigley et al, 2016). The purpose of this work is, therefore, to answer the following research question: what are the main influencing factors concerning the organization's business model innovation initiatives?…”

Section: Introductionmentioning

confidence: 99%

Business model innovation influencing factors: an integrative literature review

Minatogawa

Franco

Pinto

et al. 2018

BJO&PM

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Highlights: Proposal to integrate the Business Model Innovation (BMI) influencing factors in a single framework. Twelve BMI influencing factors found through an integrative literature review. Factors grouped through an affinity diagram to design the framework architecture, containing four categories. The study highlights the importance for companies to consider the interrelationship between the influence factors to be successful in their BMI initiatives. Goal: This paper aims to provide an integrated framework that comprises influence factors for business model innovation, and describe them by exploring the linkages between different factors. Design / Methodology / Approach: an integrative literature review was conducted using PRISMA work flow to manage this kind of methodology. Results: This work finds 12 main potential influence factors for business model innovation. All factors have been grouped into four different categories, using the affinity diagram approach. Limitations of the investigation: Business model innovation is a recent research topic, and not all its influence factors are agreed upon. Despite the importance of grouping, those already described in a single framework, there may be other relevant factors not mapped. Originality / Value: Despite the existence of bibliographic material on specific influencing factors, there is, to the best of the authors’ knowledge, no study that integrates all the explored factors. This work contributes to literature by integrating the diverse factors into a single framework. Practical implications: It contributes to practice, enticing managers to reflect on their own environment, and on the possible paths to follow for succeeding with its business model innovations efforts.

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Designing new business models: blue sky thinking and testing

Cited by 23 publications

References 9 publications

Business model innovation: a review of the process-based literature

Business model innovation: a review of the process-based literature

Exploring Determinants of Innovation Capability in Manufacturing Companies Operating in Poland

Business model innovation influencing factors: an integrative literature review

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