scholarly journals Assessing Digital Transformation in Universities

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.

Successful digital transformation requires paying increased attention to security. Some of the world's largest companies have been victims of cyberattacks. Internet Protocol addresses, personal information and finance are constantly at risk. In the digital world content, corporate networks of the past no longer exist. Security must be built directly into all applications. However, many companies delay the strengthening of their security systems until it is too late. According to Gartner, until 2020, 99% of vulnerabilities in operating systems have been known to IT security specialists for at least a year. This means that companies must first eliminate the existing vulnerabilities that they know. According to some estimates, almost 85% of the participants in the financial market call digital transformation the main priority for the next 3–4 years, because they see in it not only cost reduction, but also the possibility of creating new business models, new communication with the client, and, in fact, new sources of income. Recently, the financial system of Russia has been catching up with the West in terms of digitalisation and now it is developing faster than Western markets. All this suggests the need for closer attention to ensuring the security of transformation processes taking place in the financial market


2021 ◽  
Vol 6 (1) ◽  
pp. 105-110
Author(s):  
Oleksandr Poddenezhnyi

The article considers the scientific method of implementation and management of digital transformation of higher education, including technological, methodological and economic aspects. The problem field of introduction of new digital models and introduction of managerial experience is considered.Recent research proves the separation of digital transformation as a new area of scientific interest for management development researchers, as well as a new research paradigm. This transformation is undoubtedly interesting and promising, as it contains many aspects and components. The main reasons for slow implementation are the complexity of the problem, the lack of data for decision-making and the uncertainty of economic impact in the future. In the educational environment, this process is slower, perhaps due to fears that such transformation processes will disrupt the traditional academic model that has developed over many years and has been relevant and effective in an era of industrial growth for many years.The relevance of further research is confirmed by the fact that the process of forming a digital market for educational services is not complete. On the one hand, transformation significantly depends on the systematic process of education reform, the availability of clear institutional and public policies. On the other hand, the success of the continued existence and development of educational institutions in the post-pandemic environment will depend on changes in the standard academic paradigm and the introduction of new digital services in combination with quality academic education. Building and implementing new forms and models of education will require managers to take a comprehensive approach and rethink existing norms and standards of governance. JEL classification: O32, O33


2021 ◽  
Vol 116 ◽  
pp. 00074
Author(s):  
L. A. Malysheva ◽  
O. G. Kharlamova

This paper considers the issues of the implementation of the digital transformation of industrial enterprises: the analysis of the existing model (AS IS) and planning the desired model (TO BE), depending on different conditions. The authors present the existing business models of digital transformation, reveal different approaches to classification, as well as their drawbacks from the point of view of practical application. In general, the models can be applied to diagnostics, but not to planning the desired state. The principle of classification of transformation models based on the life cycle of the market is proposed: monopoly, oligopoly, competition and monopsony. Firstly, the life-cycle approach allowed applying the author’s Dynamic Model of Changes in Corporate Strategies (Dynamics) to digital transformation. This model was proposed earlier for the classification of traditional business models. Secondly, the life-cycle approach allowed using the maturity models of the industry, strategies, product, processes, data etc. in order to build a planning algorithm for the desired business model. As a result of the lifecycle approach to the classification of business models, it was possible to develop an algorithm for diagnosing and planning the desired digital transformation model, taking into account the limitations of maturity levels and present it in the form of a Digital Dynamic Model of Corporate Strategy Changes (Dynamics).


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 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.


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