scholarly journals Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective

Laws ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 70
Author(s):  
Ricardo Francisco Reier Forradellas ◽  
Luis Miguel Garay Gallastegui

Digital transformation can be defined as the integration of new technologies into all areas of a company. This technological integration will ultimately imply a need to transform traditional business models. Similarly, artificial intelligence has been one of the most disruptive technologies of recent decades, with a high potential impact on business and people. Cognitive approaches that simulate both human behavior and thinking are leading to advanced analytical models that help companies to boost sales and customer engagement, improve their operational efficiency, improve their services and, in short, generate new relevant information from data. These decision-making models are based on descriptive, predictive and prescriptive analytics. This necessitates the existence of a legal framework that regulates all digital changes with uniformity between countries and helps a proper digital transformation process under a clear regulation. On the other hand, it is essential that this digital disruption is not slowed down by the regulatory framework. This work will demonstrate that AI and digital transformation will be an intrinsic part of many applications and will therefore be universally deployed. However, this implementation will have to be done under common regulations and in line with the new reality.

2021 ◽  
Vol 3 (10) ◽  
Author(s):  
Bianca Weber-Lewerenz

AbstractDigitization is developing fast and has become a powerful tool for digital planning, construction and operations, for instance digital twins. Now is the right time for constructive approaches and to apply ethics-by-design in order to develop and implement a safe and efficient artificial intelligence (AI) application. So far, no study has addressed the key research question: Where can corporate digital responsibility (CDR) be allocated, and how shall an adequate ethical framework be designed to support digital innovations in order to make full use of the potentials of digitization and AI? Therefore, the research on how best practices meet their corporate responsibility in the digital transformation process and the requirements of the EU for trustworthy AI and its human-friendly use is essential. Its transformation bears a high potential for companies, is critical for success and thus, requires responsible handling. This study generates data by conducting case studies and interviewing experts as part of the qualitative method to win profound insights into applied practice. It provides an assessment of demands stated in the Sustainable Development Goals by the United Nations (SDGs), White Papers on AI by international institutions, European Commission and German Government requesting the consideration and protection of values and fundamental rights, the careful demarcation between machine (artificial) and human intelligence and the careful use of such technologies. The study discusses digitization and the impacts of AI in construction engineering from an ethical perspective. This research critically evaluates opportunities and risks concerning CDR in construction industry. To the author’s knowledge, no study has set out to investigate how CDR in construction could be conceptualized, especially in relation to digitization and AI, to mitigate digital transformation both in large, medium- and small-sized companies. This study applies a holistic, interdisciplinary, inclusive approach to provide guidelines for orientation and examine benefits as well as risks of AI. Furthermore, the goal is to define ethical principles which are key for success, resource-cost-time efficiency and sustainability using digital technologies and AI in construction engineering to enhance digital transformation. This study concludes that innovative corporate organizations starting new business models are more likely to succeed than those dominated by a more conservative, traditional attitude.


2018 ◽  
Vol 20 (1) ◽  
pp. 31-45 ◽  
Author(s):  
Diana Cozmiuc ◽  
Ioan Petrisor

This article describes how digital disruption transforms all industries, leading to new business models based on the new technologies. In manufacturing, one model for digital disruption is Industrie 4.0, supported mainly in Germany. Proposals for Industrie 4.0 involve the virtualization and vertical and horizontal integration of the value chain, digital services, the digital transformation of products, the digital transformation of production equipment, the digital transformation of factories and supply chains. Whereas the former two are already in place today, the latter is researched and developed. Products and production equipment will be transformed from physical to cyber-physical. Together, they will negotiate as peers over the Internet of Things and form smart factories. Via the Internet of Services, the entire supply chain will be integrated. The most popular business model is mass customization, according to which the customer order triggers production and logistics in the entire supply chain. Siemens intends to use information technology to migrate customers to tomorrow's digitalization.


JUDIMAS ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 107
Author(s):  
David David

Artificial Intelligence is part of the Industrial Revolution 4.0 and already exists today. This shows that the future has come and everyone must prepare for the implementation of Artificial Intelligence to face the transformation of the digital era, especially the world of education. The community service workshop was attended by 66 participants, namely students, teachers, and structural officials of SMK Negeri 2 Singkawang. The workshop was held using demonstration methods, lectures, discussions and question and answer. This workshop provides information to teachers and students about the importance of Artificial Intelligence (AI) in the digital transformation process. For teachers and students at SMKN 2 Singkawang it was introduced that algorithms or artificial intelligence methods could be given simply by representing problems into simple solutions with several examples of implementing artificial intelligence using Microsoft Excel and utilizing VBA macros.


2021 ◽  
Vol 8 (2) ◽  
pp. 44-50
Author(s):  
Alla Yasinska ◽  

The article researches the impact of the digitalization and digital transformation process on the construction of functional management systems of modern enterprises. The article materials consider new information opportunities for business models building and business processes organization. Approaches to the improvement of operational processes and their optimization are substantiated. The evidence is given that the possible way to implement digitalization in certain areas may be: the concept (strategy), staff training and education, the new technologies implementation. It is defined that the implementation of the digital transformation of the business model can take place in stages at the level of its individual elements or components. It is supposed reasonable to use a system-oriented approach to management, which is based on understanding the object of management as a whole, the need for internal and external communication links, i.e., a set of related management methods and tools in the enterprise and its structural units. System-oriented management of the digitalization process in the article is considered to involve the business processes transformation. Such processes should be based on perfect digital strategy planning. Important components are the feasibility assessment of practical digital initiatives implementation, monitoring of promising areas of action, forecasting the expected effect of digitalization and comparison of innovative initiatives. The application of a systematic approach to the management of the digitalization process is justified at certain stages, which will allow in a certain sequence and order to get the maximum effect and ensure the achievement of goals and acceptable results. The main stages of system-oriented management of the business processes digitalization process are offered, as well as the main groups of factors of influence (external and internal) on the digitalization implementation process are determined.


2018 ◽  
Vol 20 (2) ◽  
pp. 30-48 ◽  
Author(s):  
Diana Cozmiuc ◽  
Ioan Petrisor

The digital disruption is to transform all industries, leading to new business models based on the new technologies. In manufacturing, one model for digital disruption is Industrie 4.0. Proposals for Industrie 4.0 involve the virtualization and vertical and horizontal integration of the value chain, digital services, the digital transformation of products, the digital transformation of production equipment, the digital transformation of factories and the digital transformation of supply chains. The former two are already in place today. This article and its follow-up builds an overview of the pillars of Industrie 4.0 as addressed by the proponents of the model, by consultancy companies, by journal research, and by the customer proposition of Siemens. CapGemeni rate General Electric as a key player in the Industrial Internet in the Digital Revolution, and Siemens is its contestant. This article builds a detailed analysis of Siemens' strategy which covers the steps already made and the steps to be made in the future as a follow-up. The digital twin strategy leads the way to the next stage.


2020 ◽  
Author(s):  
Maksym Odnorog ◽  
◽  
Mykhailo Pivtorak ◽  
Oksana Zagorodniuk ◽  
◽  
...  

To date, digital technologies and their widespread practice have formed the potential for completely new business models. However, most organizations are either in the early stages of the digital transformation process, or do not yet dare to form a digital business model that will provide real benefits from digital technologies. In any case, taking into account the enormous pace of global digitalization, it is extremely important to adapt the best practices of digital transformation to the improvement of the Ukrainian economy as soon as possible. Based on this, consider the process of researching new and adapting existing management models. Digital transformation – the introduction of modern technologies to radically change the business models of enterprise management today is considered the most important topic for organizations around the world. The requirements of the new digital economy represent the digital transformation as a conscious strategic process of business modification through adaptive management and implementation of digital technologies, ie the restructuring of existing business models. The same happens at industrial and agro-industrial enterprises, the analog period of which is coming to an end. Industries are entering the digital age, thanks to which enterprises are developing in accordance with the new focus. For this reason, it is very important for the formation of digital models of enterprise management to strategically understand the possibilities of digital technology development in their connection with business processes and business models. The analysis of the main traditional models of effective management of enterprises was carried out and their fundamental differences from the Ukrainian approach to management were revealed, the possibilities of implementation of the principles of existing business models by Ukrainian enterprises were considered. In addition, a roadmap for the transition from a traditional to a digital enterprise was proposed for consideration. The process of modeling the digital management system of the enterprise is revealed. Currently, a prerequisite for the prosperity of the economy of industry and agriculture and, consequently, the economy of Ukraine, is adaptive digital management as a basis for economic security of the enterprise. It was found that the relentless introduction of digital technologies, «copying best practices» can later be in reality as dangerous as the refusal to master new technologies. Therefore, choosing the direction of your own digitization, you must first study everything thoroughly, so as not to miss the moment and not to remain in the ranks of the latter or in the past.


Author(s):  
Carmen De-Pablos-Heredero

Organizational changes are required for the implementation of information and communication technologies (ICT) at firms operating in the textile industry. Technologies for a new way of doing things will not provide good results if applied to an old established process. ICT allows putting into action processes in a different way, which may result in many cases, in more efficient and convenient process from the perspective of customer value generation. Textile firms highly invest in digital transformation to get new business models that constitute a challenge for traditional ways to operate. For that, they must face organisational changes. Change management implies leaving a group of structures, procedures, and behaviours and the adoption of new ones. Organizations must be able to identify potential efficient processes as a consequence of the application of new technologies. An appropriate management of more tangible aspects—equipment, financial resources—and intangible ones—people, users, and perceptions—will have impact on change management results.


2020 ◽  
Vol 13 (3) ◽  
pp. 30
Author(s):  
Wail El hilali ◽  
Abdellah El Manouar ◽  
Mohammed Abdou Janati Idrissi

In the digital era, finding a new way to conduct business becomes mandatory. The risk of disruption, the bloody competition, the change in customer behaviours and the scarcity of resources, these are few of many drivers that force companies to change their business models and adapt to the new market reality. Digital transformation emerged as a recent concept that help companies to best leverage digital capabilities such as Big data, Internet of things, Cloud Computing and Artificial Intelligence. The purpose of this paper was to conduct a qualitative analysis on three big size companies in order to enrich the literature on this concept and to discuss whether or not companies could reach sustainability during their transformation journeys. The three in-depth case studies showed that customers, data, competition and innovation are four dimensions of digital transformation that have an impact on the companies’ sustainability actions. We proposed at the end of the article a future research model, composed of 5 hypotheses, to be validated by a future empirical study.


2021 ◽  
Vol 11 (12) ◽  
pp. 770
Author(s):  
Mamdouh Alenezi

In the present times, digital transformation has gained momentum. Contemporary higher education institutions have been embracing new technologies and transforming their practices, business models and process. Digital transformation in the higher education institutions is about the development of new more advanced and effective methods and practices in pursuit of the higher education’s mission. The present paper links digital transformation and higher education institutions. The paper discusses existing models for the incorporation of digital transformation in higher education institutions. The paper also delineates the challenges faced by higher education institutions in pursuit of digital transformation.


2021 ◽  
Vol 1 (54) ◽  
Author(s):  
Valentyn H. Hnoievyi ◽  
◽  
Oleksandr M. Koren ◽  

The article has dealt with the current trends of communication aspects of company’s relations with the customers. The emphasis is placed on the necessity to review the companies’ marketing strategies, in particular, due to communication constraints and the corresponding changes in the format of both direct and feedback with the customers. Restrictive measures have changed the format of competition, having created the conditions for its concentration in cyberspace. Changes in the nature of interpersonal communication predetermined by the limited personal activity and the introduction of remote forms of interaction, have generated demand for innovative ways of communication with customers. Other factors that require the adjustment of marketing strategies include the emergence of new behavioral capabilities of consumers associated with the intensive development of digital communication channels. It has been noted that in the digital communication environment, digital platforms provide the main format of communication with the existing customer base and potential customers. In addition, prompt acquisition and processing of data on purchasing behavior of customers allows companies to increase significantly the “sensitivity” of marketing research and optimize their own marketing decisions. Among the areas of increasing targeting and personalization of product offerings, the use of elements of artificial intelligence and voice search has been accentuated. Moreover, the use of artificial intelligence greatly facilitates and simplifies the work of marketers on the processing and initial analysis of the growing flow of digital marketing data, as well as provides greater efficiency. It has been concluded that widespread use of voice assistants in e-commerce requires companies to rethink radically their approaches to internal data processing, IT investment and customer engagement strategies. Active integration of chatbots into various communication platforms is able to make them universal tools for both business and consumers, which will allow them to become a familiar part of the user experience. Implementation of virtual reality and augmented reality elements in the interface of company websites can significantly diversify the process of collecting information by users and push them to unplanned purchases. It has been indicated that the growing standards of personalization and new rules of customer confidentiality will continue to require companies to be flexible and introduce new technologies in order to adapt permanently their business to new conditions. Focusing on building trust with customers based on digital communications will enable companies to create a long-term integrated marketing strategy and concentrate on the multi-channel nature of customer experience.


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