Pathways to Developing Digital Capabilities within Entrepreneurial Initiatives in Pre-Digital Organizations

To enable new digital business models, pre-digital organizations launch entrepreneurial initiatives. However, in developing the required digital capabilities, pre-digital organizations often face challenges as they are marked by the ways they have historically established their organizational identity. Research on how pre-digital organizations can develop digital capabilities remains scarce. This study draws on a single case study to illustrate potential pathways for the development of digital capabilities. Two key characteristics are identified: the source of digital capability development and the set-up of the actors involved. The authors synthesize four possible pathway manifestations, discuss the dynamic nature of pathway combinations, and suggest that managing a portfolio of pathways may be crucial for pre-digital organizations. Therefore, the study contributes to a better understanding of digital transformation in pre-digital organizations. Furthermore, it provides guidance for practitioners to reflect on when deciding which pathways to follow.

Assessment of the Impact of Industry 4.0 Technologies on the Economic Growth of the Russian Segment of Rail Transportation

Formation of cyber-physical models in the economy is perceived as an imperative and the objective reality. However, the issues of developing scientific and methodological support for projects aimed at creating digital business models, namely, economic algorithms for their evaluation, are currently unsolved. The purpose of the study is to work out a system of indicators for assessing the impact of industry 4.0 technologies on economic growth, and further verification of the performance. The empirical base for the study is the reporting documents of the largest national carrier — Russian Railways Holding. The research methods include a descriptive diagnostics, statistic data structuring, a correlation analysis of data, a comparative analysis, and others. The results: the author proposes a system of statistic indicators for assessing the impact of industry 4.0 digital technologies on economic growth parameters, and makes an assessment of these indicators in Russian Railways Holding. Conclusion: investing in a digital business model enhances economic growth, increases marginalization via electronic channels and other means of interaction with the consumer, and provides for optimizing operating costs.

A confluência das tecnologias I.4.0 e novos modelos de negócio: uma revisão sistemática de literatura

Objective of the study: The study’s objective is to provide a systematic literature review on the coevolution of the Technologies associated to Industry 4.0 and business models.Methodology/approach: The research was built on conceptual blocs at the interface between Industry 4.0 (I 4.0), business models (BM) and digitalization /digital business models (DBM) in order to identify relevant trends. Through bibliometric techniques, 80 articles were selected from Scopus and WoS, using specialized software.Originality/ Relevance: Few studies exist on the interface under analysis. This article contributes to this emerging literature, providing a synthesis of such literature, including both a detailed descriptive component and an analysis of the main thematic clusters associated to this interface.Main results: The literature still needs to evolve into a framework of a 4.0 business model. The majority of the existing studies focus on business models to specific technologies associated to Industry 4.0. Among the 80 articles scrutinized, 56 were associated to business models and I4.0, and 24 linked business models and digitalization. Few really described a business model that could be characterized as an I4.0 business model.Theoretical/methodological contributions: Identification of key studies underlying the elaboration of an innovative business model associated to I4.0. An immediate and useful characterization of the literature. Identification of the main thematic clusters.Social/management contributions: To provide academics and professionals (especially in Business/Economics) with a detailed and thorough review of the most relevant literature, including the main aspects underlying the creation of innovative business models based on I4.0.

Key Trends and Regulations of the Development of Digital business Models of banking services in Industry 4.0

The subject of the research is trends in the implementation of digital technologies in the banking sector. The relevance of the paper is due to the objective processes of global digital intervention of technologies in all spheres of human life and society. The research aims to identify, systematize and generalize key trends and regulations in the development of digital business models of banking services in Industry 4.0. For the first time, the authors identified and systematized modern trends and regulations in the development of digital business models of banking services in Industry 4.0, offered their own conceptual vision of the concept of “digital business model of banking services”. The authors apply general scientific, philosophical, analytical, statistical, problem chronological and historical-genetic methods, as well as methods of expert assessments. The article summarizes the main stages of the evolution of business models of the banking sector, reveals substantive and methodological differences between traditional remote banking services and digital banking, highlights the main business models for organizing digital banking; provides up-to-date data on the level of development of digital banking in the main geographic zones of the world; shows the dynamics and key areas of investment in the fintech industry in 2014–2019 and provides a critical analysis of their conditions; identifies problematic aspects of the development of digital business models of banking; describes the functionality of the main digital business models of Russian banks with the author’s assessment of their capabilities and examples of their use in Russian practice. The authors conclude that the main drivers of digitalization of the banking sector are stable growth of non-cash payments in the world and in Russia; stable growth of the global digital banking market; the impact of the COVID-19 pandemic on the active demand of consumers of remote financial services; increased competition in the retail banking market; and a significant decrease in margins for traditional banking products. Identification and systematization of trends and regulations in the implementation of digital business models of banking services can form the basis for further analysis of the specifics of digitalization and personalization of digital banking in Industry 4.0 for the sustainable socio-economic development of the country in terms of possible advantages and threats to the security of financial resources and personal data of customers.

Responding to the COVID-19 crisis: the rapid turn toward digital business models

Purpose The effects of the spread of COVID-19 across the world are devastating, both from a health and an economic perspective. However, we also see encouraging examples of collaborative and innovative initiatives, in society and in organizations. The purpose of this paper is to focus on initiatives related to digital business model innovation. The authors explore how organizational characteristics provide a variety of opportunities for digital responses to the COVID-19 pandemic and discuss the potential consequences for the speed of digital transformation in organizations and society. Design/methodology/approach In this paper, the authors analyze how organizations attempt to mitigate the negative effects of fighting COVID-19 using digital business model responses. The authors draw on a qualitative study where they have collected data from the retail and service industries. They have analyzed the data in relation to theory to better understand this ongoing phenomenon. Findings The authors have identified four categories of organizations (crisispreneurs, accelerators, endurers and thrivers). Each category faces different challenges and shows a different intensity in their digital transformation. The authors propose that the rapid turn toward digital business models will have enduring effects, as organizations have gained transformational capabilities that will remain, and that the digital trajectory has, as a result, changed forever. Originality/value The findings in this paper point toward new challenges for leaders and policymakers in terms of how to support initiatives and meet the needs of different categories of organizations while simultaneously being conscious of the potential societal effects of this rapid digital shift. The authors hope that this paper can be of value for managing this shock and learning how to adapt for the future taking certain aspects of current business models as the departure point.

Impact Investing in Digital Business Models

In recent years, the role of digital enterprises in the global economy has been growing. The issue of assessing their impact on social aspects is noticeable. The aim of the article is to show social impact as a key factor in the development of digital business models. The Analytic Hierarchy Process (AHP) method used and the criteria for social impact assessments based on heuristic methods allowed for the components of business models that relate to social impact to be ranked, and subsequently for socially oriented enterprises functioning in the digital economy to be ranked. The companies selected for the research are understood by the authors as digital business models, the concept of which is embedded in a pro-social management intention. Purposive sampling, which in this situation was considered to be the most effective in terms of the objective of the paper, was applied. The literature review, analyses and heuristic research have demonstrated that the social factor in modern applications is a driver of value creation and is conducive to social profit. The ranking of the criteria responsible for shaping the social impact of digital business models showed that the most important ones are value proposition (pro-social), social profit and economic profit. This means a strong relationship between social and economic aspects.