Archetypes for data-driven business models for manufacturing companies in Industry 4.0

The Industry 4.0 phenomenon, internationally known as the Industrial Internet of Things, is expected to enable data-driven business models across the manufacturing sector. While data-driven business models in business-to-customer (B2C) markets are flourishing, driven by trends such as on-demand services, improved resource allocation, niche advertising and the sustainability movement at large, business-to-business (B2B) data-driven business models and the corresponding literature are less pervasive. While scholars have begun exploring firm-specific cases analyzing the introduction of new data-driven business models, e.g. on automotive shop floors, along manufacturing value chains, or in areas such as rail mobility, a comprehensive overview is missing. In response, this paper condenses extant research on data-driven business models in Industry 4.0 and develops several archetypes. These refer to (a) the types of data, which enable new B2B business models, (b), the forms of data-driven business models, e.g., building on sensor data for predictive purposes, and (c) new monetization forms for data-driven business models. The paper further distinguishes the accelerating and decelerating forces, which influence the implementation of data-driven business models in organizational ecosystems. In doing so, the paper intends to create a framework for future research and for practitioners on data-driven business model innovation in Industry 4.0

Fashion Digital Transformation: Innovating Business Models toward Circular Economy and Sustainability

The fashion industry is at a stage of profound transformation of its operating paradigm. Because of their stakeholders’ pressure, companies have begun to pursue strategic solutions that include sustainability as a guiding principle. Such strategies push for effective organizational solutions and production models that take into consideration the conservation of the planet’s resources, respect for people, and the sustainability of their profits. In this context, the fashion industry is now recognizing the circular economy (CE) as the primary BM to address sustainability-related industry issues. The authors have adopted a specific technological-driven perspective that attempts to analyze today’s context and map digitally driven practices in European fashion companies. These practices are emerging to support fashion organizations so that they can focus their sustainability agendas and better implement circular BMs. This perspective is consistent with the current fashion context, where digital transformation is recognized as an asset that could transform the industry into a more sustainable business. This proposed objective is realized through an iterative process of modeling data. The BMIs identified here are grouped according to Bocken’s eight archetypes: maximize material and energy efficiency; create value from ‘waste’; substitute with renewables and natural processes; deliver functionality rather than ownership; adopt a stewardship role; encourage sufficiency; re-purpose the business for society/the environment and develop scale-up solutions. They guide the authors in modeling mechanisms and solutions that help build business innovations that work to ensure circularity. Analyzing the current best practices, this article introduces a taxonomy that highlights current approaches that lead to incremental changes toward CE through digital solutions

Data-based sustainable business models in the context of Industry 4.0

The concept of Industry 4.0, internationally also often referred to as the Industrial Internet of Things, enables data-driven business models to be implemented in industrial value creation. Further, the concept of Industry 4.0 aims to generate sustainable value in industrial contexts. However, both concepts, Industry 4.0-enabled data-driven business models as well as sustainable business models in Industry 4.0, have scarcely been investigated in extant literature. Hence, this paper aims to contribute to the understanding of research at the intersection of three disciplines: 1) Industry 4.0, 2) data-based business models, and 3) sustainability. For this purpose, relevant concepts and interconnections are drawn based on extant literature in the respective field. Further, this paper presents a research agenda that presents several important aspects of data-based sustainable business models in the context of Industry 4.0. These include, among others, designing data-based value offers that are based on economic as well as social and ecological aspects. Another example are value capture or monetization mechanisms that combine economic and ecologically or socially sustainable perspectives into a potentially multi-sided business model. Finally, the paper presents a perspective on future research and potential challenges in the respective aspects of databased sustainable business models in Industry 4.0

Prevailing theoretical approaches predicting sustainable business models: a systematic review

Purpose: This study aims to map scientific publications, intellectual structure and research trends in the sustainable business model (SBM) field. Specifically, it attempts to (1) identify the fundamental contributions of research in this area of knowledge; and (2) determine the research lines that constitute the most prominent intellectual structure. We leverage these insights to formulate and propose a future research agenda for SBM. Design/methodology/approach: The authors made recourse to the bibliometric, co-citation and cluster analysis techniques. To evaluate potential patterns among articles, we analysed how articles are jointly cited. We further applied hierarchical cluster analysis to the articles and used co-citation analysis to group the interrelated articles into distinct sets. Findings: The results enable the identification and classification of the prevailing theoretical foci in the domain of SBM: (1) SBM implementation; (2) SBM challenges; (3) institutional SBM; (4) circular SBM; and (5) emerging SBM. Originality/value: This study identifies, explores, analyses and summarises the main theoretical approaches and themes surrounding SBM research to date, contributing to deepening the literature by identifying the priority areas concerning sustainable business models and encouraging future research of an internationally excellent standard.info:eu-repo/semantics/acceptedVersio

Potentials for AI-Based Data-Driven Business Models in Industry 4.0

Whereas the topics of artificial intelligence (AI) and business model innovation have attracted significant attention in academic research, publications at the intersection of both topics are rather sparse. In response, this paper attempts to interconnect the topics conceptually. In particular, it focuses on AI-driven business models in the context of Industry 4.0, highlighting examples and applications in the industrial context. In industry, first applications of AI applications have been known since several decades, such as in pattern recognition by cameras for failure detection. While applications in process or quality optimization have been improved since then, the clear connection to business models is not always clear. Therefore, this paper attempts to differentiate between examples of AI-driven business models that monetize, e.g., process optimization, or data-driven approaches of entire industrial platforms. In doing so, the present paper presents an overview of categories for AI-driven business model innovation across several industrial examples. As a result, future research can adopt and advance this overview to catego

Состояние и Перспективы Инновационного и Научно-Технологического Развития Региональной Промышленности России

Results of the analysis of innovation-driven, scientific and technological development of Russian regions are provided in the article, which allow to identify regional leaders in this area, estimate their potential for the country's economic growth, and understand possibilities of the regions lagging behind in innovation-driven, scientific and technological development for their establishment as new landmarks of scientific and technological progress. Content of the scientific approach to assessing the level of innovation-driven growth of the Russian economy sectors is described in detail based on characteristics of the four innovative archetypes of sectors: performance, engineering, scientific, and consumer. The unevenness of the sectoral development is shown both within one innovation archetype and in the whole sector, based on the calculation of the relative market share index for the Russian economy sectors. Description of the specifics and success factors of the innovation process for each of the innovative archetypes of sectors is provided. It is emphasized that the criticality ranking for success factors associated with the demand for innovation and the innovation proposals is defined by the archetype of innovations, each requiring a special approach from the state and private business. Results of a comparative analysis of possible scenarios for the innovation-driven growth of the national economy and their forecast results are provided, with due consideration for the leading trends in economic development in the national and global markets. The necessity of the scientific and technological modernization of the Russian economy towards the model of innovation-driven growth is substantiated. Conclusions are made about the inevitability of Russia’s transition to a new technological paradigm, which requires the formation of a new scientific, innovation-driven and industrial policy focused on innovation and technological renewal of the entire economic landscape, making the economy truly innovative.El artículo presenta los resultados del análisis de la innovación y el desarrollo científico y tecnológico de las regiones rusas, lo que permite identificar líderes regionales en esta área y evaluar su potencial para el crecimiento económico del país, así como para comprender las posibilidades de las regiones que se encuentran rezagadas en materia de innovación, desarrollo científico y tecnológico. Como nuevos puntos de progreso científico y tecnológico. El contenido del enfoque científico para evaluar el nivel de desarrollo innovador de las ramas de la economía rusa se describe en detalle sobre la base de las características de los cuatro arquetipos innovadores de industrias: eficiencia, ingeniería, ciencia y consumo. Sobre la base del cálculo del índice de la cuota de mercado relativa de los sectores de la economía rusa, la desigualdad del desarrollo sectorial se muestra dentro de los límites de un arquetipo de innovación y en toda la industria. Se proporciona la descripción de los aspectos específicos y los factores de éxito del proceso de innovación para cada uno de los arquetipos innovadores de las industrias. Se enfatiza que el grado de criticidad de los factores de éxito asociados con la demanda de innovación y con la propuesta de innovaciones está determinado por el arquetipo de innovaciones, cada uno de los cuales requiere un enfoque especial por parte de las empresas estatales y privadas. Se presentan los resultados de un análisis comparativo de posibles escenarios para el desarrollo innovador de la economía nacional y sus resultados de previsión, teniendo en cuenta las principales tendencias del desarrollo económico en los mercados nacional y mundial. Se justifica la necesidad de la modernización científica y tecnológica de la economía rusa en el camino hacia el modelo de desarrollo innovador. Se concluye sobre la inevitabilidad de la transición de Rusia a un nuevo orden tecnológico, que requiere la formación de una nueva política científica, innovadora e industrial, centrada en la innovación y la renovación tecnológica de todo el panorama económico, dando a la economía un carácter verdaderamente innovador.В статье приводятся результаты анализа инновационного и научно-технологического развития российских регионов, дающего возможность выявить в этой сфере региональных лидеров и оценить их потенциал для экономического роста страны, а также осмыслить возможности отстающих в инновационно-научно-технологическом развитии регионов в становлении их в качестве новых точек научно-технического прогресса. Обстоятельно раскрывается содержание научного подхода к оценке уровня инновационного развития отраслей российской экономики на основе характеристик четырех инновационных архетипов отраслей – эффективности, инженерного, научного, потребительского. На основе расчета индекса относительной рыночной доли отраслей российской экономики показана неравномерность отраслевого развития как в границах одного инновационного архетипа, так и в целом по отраслям. Приводится описание специфики и факторов успеха инновационного процесса для каждого из инновационных архетипов отраслей. Подчеркивается, что степень критичности факторов успеха, связанных со спросом на инновации и с предложением инноваций, определяется архетипом инноваций, для каждого из которых требуется особый подход со стороны государства и частного бизнеса. Представлены результаты сравнительного анализа возможных сценариев инновационного развития национальной экономики и их прогнозных результатов с учетом ведущих трендов экономического развития на национальном и глобальном рынках. Обосновывается необходимость научно-технологической модернизации российской экономики на пути к модели инновационного развития. Делается вывод о неизбежности перехода России к новому технологическому укладу, требующему формирования новой научной, инновационной и промышленной политики, ориентированной на инновационно-технологическое обновление всего хозяйственного ландшафта, придающего экономике действительно инновационный характер

Detecting Circular Economy Strategies in the Fourth Sector: Overview of the Chilean Construction Sector as Evidence of a Sustainable Business Model

An essential part of the economic and social system is the existence of sustainable companies worldwide. Despite the fact that the literature has described different kinds of innovations, organizations, and models regarding this topic, there is a need to understand the dynamics that occur within the fourth sector and how strategies and practices are working. In this study, construction companies presenting sustainable projects are identified, and the way in which they serve the community, stakeholders, and consumers is analyzed. The present article presents an epistemological search to recognize the best practices and strategies, which allows an understanding of the new circular economy strategies in the fourth sector. The authors show a conceptual approach regarding these actions and a methodology on the most notable techniques of the Circular Economic Strategy of Chile based on an investigation of documentary and comparative data. Data collection considered perceptions of construction practices regarding the circular economy and the specificity of each situation and reflected the actual production systems. We used simple random sampling to collect data in the scope of the study. The findings show the importance of some relational elements between companies that structure construction projects, supporting the impact of discovering specific variables in the different layers of sustainable management. In addition, results show how those responsible for construction projects understand sustainability as a preference, amplify the role of various factors in the work of the cultural and social ecosystems under consideration. Finally, this article details and analyzes the channeling of innovative business models in the fourth sector

Business model innovation for sustainable value creation in construction companies

This paper aimed to analyze how innovations in the business model contribute to creating sustainable value in construction companies. The results revealed that analyzed companies implement practices that enhance their reputation and contribute to the environment while securing economic benefits. These practices include material reuse and replacing traditional processes with renewable ones (installing photovoltaic panels and rainwater harvesting). Companies also have tried to integrate with the community through sponsorships, primarily in sports and cultural events, and assistance to homes for the elderly and needy educational institutions. Companies need to implement processes that contribute to the rational use of water and waste reduction during construction projects despite the results. Furthermore, this study has the importance of identifying actions that are oriented towards generating benefits for society and the environment and analyzing them from the perspective of the creation of sustainable value from innovations in the business model

Business model innovation in electricity supply markets: The role of complex value in the United Kingdom

This research investigates the new opportunities that business model innovations are creating in electricity supply markets at the sub-national scale. These local supply business models can offer significant benefits to the electricity system, but also generate economic, social, and environmental values that are not well accounted for in current policy or regulation. This paper uses the UK electricity supply market to investigate new business models which rely on more complex value propositions than the incumbent utility model. Nine archetypal local supply business models are identified and their value propositions, value capture methods, and barriers to market entry are analysed. This analysis defines 'complex value' as a key concept in understanding business model innovation in the energy sector. The process of complex value identification poses a challenge to energy researchers, commercial firms and policymakers in liberalised markets; to investigate the opportunities for system efficiency and diverse outcomes that new supplier business models can offer to the electricity system