Digital Transformation of Business Models — Best Practice, Enablers, and Roadmap

Author(s):  
Daniel Schallmo ◽  
Christopher A. Williams ◽  
Luke Boardman
2017 ◽  
Vol 21 (08) ◽  
pp. 1740014 ◽  
Author(s):  
DANIEL SCHALLMO ◽  
CHRISTOPHER A. WILLIAMS ◽  
LUKE BOARDMAN

The purpose of this paper is to clarify the definition of digital transformation (DT) and to introduce a structured approach with phases, activities and results. Our research is based on a literature review which provides insight into the basic understanding of DT. Examples complete the research and show the practical application of DT. The main findings are that although DT is a widely known concept, an approach for the structured DT of business models is missing. The paper offers a clear definition of the DT of business models and phases for the DT of business models. Moreover, the paper offers examples of enablers and DT.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


2021 ◽  
Vol 11 (5) ◽  
pp. 2365
Author(s):  
Sorinel Căpușneanu ◽  
Dorel Mateș ◽  
Mirela Cătălina Tűrkeș ◽  
Cristian-Marian Barbu ◽  
Adela-Ioana Staraș ◽  
...  

The digital transformation has produced changes in all existing areas of activity worldwide. There are many factors that can influence the intention to use Industry 4.0 processes and solutions and change the behavior of organizations and their business models. The aim of this study is to validate the econometric model on assessing the significant impact of distinct factors on the intention to use Industry 4.0 processes and solutions, the benefits of digital transformation perceived by organizational management and the differences between distinct groups analyzed. The research method used within the quantitative study was the sample survey, using the online questionnaire as a data collection tool. Three hundred forty-seven valid questionnaires were collected and the response rate of the respondents was 64.25%. A new structural model was generated based on the elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results of the study indicated that Perceived competitiveness and Perceived risk have a significant impact on Intention to Use Industry 4.0 processes while Perceived vertical networking solutions and Perceived integrated engineering solutions have a significant influence on the Intention to Use Industry 4.0 solutions. In conclusion, there is a positive and significant association between Intention to Use Industry 4.0 solutions and Benefits of Digital Transformation.


2021 ◽  
Vol 13 (2) ◽  
pp. 52
Author(s):  
Guillermo Rodríguez-Abitia ◽  
Graciela Bribiesca-Correa

Industry 4.0 and Society 5.0 are reshaping the way organizations function and interact with the communities they serve. The massive penetration of computer and network applications forces organizations to digitalize their processes and provide innovative products, services, and business models. The education market is suffering changes as well, but universities seem slow to react. This paper proposes the application of an integrated digital transformation model to assess the maturity level that educational institutions have in their digital transformation processes and compares them to other industries. Particular considerations to address when using the model for higher-education institutions are discussed. Our results show that universities fall behind other sectors, probably due to a lack of effective leadership and changes in culture. This is complemented negatively by an insufficient degree of innovation and financial support.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monika Jedynak ◽  
Wojciech Czakon ◽  
Aneta Kuźniarska ◽  
Karolina Mania

PurposeThe purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.Design/methodology/approachThe authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.FindingsThe findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.Originality/valueDigital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.


2021 ◽  
Vol 73 (05) ◽  
pp. 52-53
Author(s):  
Judy Feder

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper OTC 30794, “Digitalization Deployed: Lessons Learned From Early Adopters,” by John Nixon, Siemens, prepared for the 2020 Offshore Technology Conference, originally scheduled to be held in Houston, 4–7 May. The paper has not been peer reviewed. Copyright 2020 Offshore Technology Conference. Reproduced by permission. With full-scale digital transformation of oil and gas an inevitability, the industry can benefit by examining the strategies of industries such as automotive, manufacturing, marine, and aerospace that have been early adopters. This paper discusses how digital technologies are being applied in other verticals and how they can be leveraged to optimize life-cycle performance, drive down costs, and decouple market volatility from profitability for offshore oil and gas facilities. Barriers to Digital Adoption Despite the recent dramatic growth in use of digital tools to harness the power of data, the industry as a whole has remained conservative in its pace of digital adoption. Most organizations continue to leverage technology in disaggregated fashion. This has resulted in an operating environment in which companies can capture incremental inefficiencies and cost savings on a local level but have been largely unable to cause any discernible effect on operating or business models. Although the recent market downturn constrained capital budgets significantly, an ingrained risk-averse culture is also to blame. Other often-cited reasons for the industry’s reluctance to digitally transform include cost of downtime, cyber-security and data privacy, and limited human capital. A single offshore oil and gas facility failure or plant trip can result in millions of dollars in production losses. Therefore, any solution that has the potential to affect a process or its safety negatively must be proved before being implemented. Throughout its history, the industry has taken a conservative approach when adopting new technologies, even those designed to prevent unplanned downtime. Although many current technologies promise increases of 1 to 2% in production efficiency, these gains become insignificant in the offshore industry if risk exists that deployment of the technology could in any way disrupt operations. Cybersecurity and data privacy are perhaps the most-significant concerns related to adoption of digital solutions by the industry, and they are well-founded. Much of today’s offshore infrastructure was not designed with connectivity or the Internet of Things in mind. Digital capabilities have simply been bolted on. In a recent survey of oil and gas executives, more than 60% of respondents said their organization’s industrial control systems’ protection and security were inadequate, and over two-thirds said they had experienced at least one cybersecurity attack in the previous year. Given this reality, it is no surprise that offshore operators have been reluctant to connect their critical assets. They are also cautious about sharing performance data with vendors and suppliers. This lack of collaboration and connectivity has inevitably slowed the pace of digital transformation, the extent to which it can be leveraged, and the value it can generate.


2020 ◽  
pp. 77-94
Author(s):  
Storbacka Robert ◽  
Kaj Anold

Digitalization affects every aspect of a firm’s business model–from front-end to back-office, from how firms create value for their customers to how they capture value– and doing so can reshape every facet of the firm. By adapting their business models to the possibilities of technology, firms are facing an accelerating transformation of their activities, offering new opportunities for “out-of-the-box” development of new processes and tools, which effectively challenge deeply engrained functional silo- based thinking. Despite the ubiquity of digital transformation, much academic research still seems to take a functional view (Verhoef et al. 2019), where information systems look into the development and adoption of specific technologies (Nambisan et al. 2017) or analytics schemes (Davenport and Ronanki 2018), strategic management research focuses on understanding the role of new digitalized business models (Foss and Saebi, 2017), and marketing research focuses on what is generally called “digital marketing” or the development of an omni-channel environment (Verhoef et al. 2015; Lamberton and Stephen 2016; Kannan and Li 2017).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.


2020 ◽  
Vol 35 ◽  
pp. 01009
Author(s):  
Tatiana D. Margaryan ◽  
Liliya V. Kalugina

In order to survive and evolve the humanity needs changes and transformation. Changes in education are of particular importance because education plays a crucial role in creating a sustainable future. Today, we are undergoing digital transformation in all areas of our life, but educational institutions are only taking the first steps to become digital. Digital transformation of education should involve not only using computers at classes but designing new methods of teaching and learning as well. Technologies should benefit education. The purpose of this work is to share the successful experience of educators of the English for engineering technologies department at Bauman University in designing a new multimedia two-year English course for undergraduates at technical universities. The course “English in the Digital Age” includes a Student’s Book in the digital format with integrated audio and video authentic materials, a Workbook with the key and mock tests, a Teacher’s Resource Book with detailed teaching notes and an online course for English grammar drilling with an answer reveal function and personalized testing with automatic assessment. The course essential feature is that an online self-study grammar course and face-to-face learning process are successfully combined and personalized. The benefit of the work is the best practice in creating a basis for digital transformation of learning and teaching English at a technical university.


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