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Business Model Innovation is increasingly created by an ecosystem of related companies. This paper aims to investigate the transition of a manufacturing ecosystem toward electric vehicles from a business model perspective.

The authors investigate an automotive manufacturing ecosystem that is in transition toward electric and electrified vehicles, conducting semi-structured interviews with 46 informants from 27 ecosystem members.

The results reveal that the actions of several ecosystem members are driven by regulations relating to emissions. Novel requirements regarding components and complementary offers necessitate the entry of actors from other industries and the formation of new ecosystem members. While the newly emerged ecosystem has roots in an established ecosystem, it relies on new value offers. Further, the findings highlight the importance of ecosystem governance, while the necessary degree of change in the members' business models depends on their roles and positions in the ecosystem. Therefore, upstream suppliers of components must perform business model adaptation, whereas downstream providers must perform more complex business model innovation.

The paper is among the first to investigate an entire manufacturing ecosystem and analyze its transition toward electric vehicles and the implications for business model innovation.

Increased digitalization has influenced various business activities including companies’ business models (BMs) by enabling various new forms of cooperation between companies and leading to new product and service offerings as well as new forms of company relationships with customers and employees. At the same time, this digitalization has put pressure on companies to reflect on their current strategy and explore new business opportunities systematically and at early stages. While research on digitalization in the context of BMs is now gaining increased attention, a research gap still exists in this field since the number of empirical insights is limited. The paper aims to discuss these issues.

Qualitative empirical data collected from 12 key informants working in two distinctive industries, the media and automotive industries, were collected. An investigation was carried out to examine the differences and similarities among how digitalization influences a company’s value creation, proposition and capture, as well as how firms cope with challenges presented by increased digitalization.

The findings of the study show that, whilst digitalization is generally considered to be important, the value proposition itself as also the position in the value network determine the perceived available options for business model innovation (BMI) by digitalization. Moreover, the organizational capacities and employee competences were identified as future challenges that will be faced by both industries.

The findings of this study have revealed that representatives of the media and automotive industries perceive both the pressures and opportunities of digitalization regarding BMI; its application and exploitation, however, remain challenging. This study contributes to the existing body of knowledge by providing empirical insights in the context of digitalization and BMI.

Digital transformation is a confidence booster in intrapreneurship, but few have examined its impact on intrapreneurship. Further, quantitative analyses exploring the impact of Chinese enterprises' digital transformation on intrapreneurship at the micro-level are rare. Most enterprises do not have the dividend for digital transformation, and few enterprises have successfully achieved digital transformation through intrapreneurship, internal management re-engineering and technological innovation. This study investigates the effect of digital transformation on intrapreneurship in Chinese real economy enterprises.

The study develops and tests a theoretical model that digital transformation impacts intrapreneurship by promoting working capital turnover and furtherly influencing labor input. Panel data of 1,638 Chinese-listed companies between 2007 and 2020 were used to complete the empirical test.

Digital transformation impacted labor input, with an inverted-U shaped relationship between the two, and labor input significantly stimulated intrapreneurship. This effect promoted labor input's impact on working capital. Chinese real economy enterprises generally increase labor investment to promote intrapreneurship. Heterogeneity analysis revealed that enterprises' asset scale and ownership attributes uniformly affected labor input.

This study provided empirical evidence of the promotional effect of real economy enterprises' digital transformation on intrapreneurship. Further, it advanced the literature by examining this relationship at the micro-level. Moreover, the data sample was long-term and included most industries, thus providing representative results with practical implications.

This paper aims to develop a framework for the semantic operationalisation of the business model, which enables the automated identification of business models using content analysis.

The authors approached the operationalisation of the business model by conducting a review of the organisational and management literature to derive the key business model elements highlighted in the existing research, along with their associated keywords.

The study proposed a conceptual framework that specifies a granular structure of business model elements, as well as the keywords that characterise each element. By coming down to the level of distinct keywords, the authors arrived at measurable constructs to capture the magnitude of every element in a company’s business model.

To the best of the authors’ knowledge, this study is the first to offer a semantic operationalisation of the business model by defining the set of keywords that pertain to each element of the business model. The proposed operationalisation of the business model can aid future empirical research by serving as a tool for the automated assessment of the magnitude of every element in a company’s business model using content analysis.

Este artículo tiene como objetivo desarrollar un marco de trabajo para la operacionalización semántica de los modelos de negocio, que permita la identificación automatizada de esos modelos usando “análisis de contenido”.

Abordamos la operacionalización del modelo de negocio mediante una revisión de la literatura de organización y gestión de empresas para derivar los elementos clave de los modelos de negocio destacados en la investigación existente, junto con sus palabras clave asociadas.

Nuestro estudio propone un marco conceptual que especifica una estructura detallada de los elementos de modelos de negocio, así como las palabras clave que caracterizan cada elemento. Al llegar al nivel de palabras clave distintas, obtuvimos constructos medibles para capturar la magnitud de cada elemento dentro del modelo de negocio de una empresa.

Nuestro estudio es el primero en ofrecer una operacionalización semántica de los modelos de negocio al definir el conjunto de palabras clave que se refieren a cada elemento del modelo de negocio. La operacionalización propuesta puede ayudar a la investigación empírica futura al servir como una herramienta para la evaluación automatizada de la magnitud de cada elemento en el modelo de negocio de una empresa mediante análisis de contenido.

Este artigo tem como objetivo desenvolver um framework para a operacionalização semântica do modelo de negócio, que possibilita a identificação automatizada de modelos de negócio por meio de análise de conteúdo.

Abordamos a operacionalização do modelo de negócio realizando uma revisão da literatura organizacional e de gestão para derivar os principais elementos do modelo de negócio destacados nas pesquisas existentes, juntamente com suas palavras-chave associadas.

Nosso estudo propôs um framework conceitual que especifica uma estrutura granular de elementos do modelo de negócio, assim como as palavras-chave que caracterizam cada elemento. Ao descer ao nível de palavras-chave distintas, chegamos a construtos mensuráveis para capturar a magnitude de cada elemento no modelo de negócio de uma empresa.

Nosso estudo é o primeiro a oferecer uma operacionalização semântica do modelo de negócio, definindo o conjunto de palavras-chave que se referem a cada elemento do modelo de negócio. A operacionalização proposta do modelo de negócio pode auxiliar pesquisas empíricas futuras, servindo como uma ferramenta para a avaliação automatizada da magnitude de cada elemento no modelo de negócio de uma empresa por meio de análise de conteúdo.