scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

Regulating Digital Transformation

2021 ◽  
pp. 161-183
Author(s):  
Belal Hafnawi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Small Scale ◽  
The Core ◽  
Road Map ◽  
Regulatory Frameworks ◽  
The Impact

Digital transformation is the core value of the 4th industrial revolution or Industry 4.0. Although the efforts are focused on utilization and usage of technologies like artificial intelligence, internet of things, cloud computing, and many other technologies. We should focus in parallel on regulating the technologies to provide the proper road map and put the proper regulatory frameworks to remove uncertainties in development, investment, or implementation of technologies. Regulatory effectiveness is very important in saving time and rolling out technologies. In one initiative, regulatory technology (RegTech) will utilize the technology to enhance the regulatory process in financial sector; Regulation 4.0 is another; however, plenty of work is still ahead. Some regulators are keen to facilitate the emerging technologies and to see the consequences immediately, thus they use sandbox thinking in evaluating the impact at a small scale. In summary, this chapter will highlight the different practices and methodologies to regulate the digital transformation in the best way.

scholarly journals Digital Transformation, AI Applications and IoTs in Blockchain Managing Commerce Secrets: And Cybersecurity Risk Solutions in the Era of Industry 4.0 and Further

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 453-465
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Le Thi Thanh Huong ◽  
Ta Van Thanh ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Security ◽  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Transformation ◽  
High Data ◽  
Blockchain Technology ◽  
Inductive Methods ◽  
As Relationship

Once again in this study, we emphasizes strongly on applications of mathematical solutions for industrial uses. By using qualitative analysis, synthesis and inductive methods, together with statistic data, our paper target is to analyze aspects of SWOT analysis on blockchain technology and its opportunities for various industries and sectors in emerging markets such as Vietnam. This is based on the original foundation theory indicating that blockchain tech functioned as a mathematical solutions that can be applied for solving commerce secrets, with high data security and can be used for intellectual property. Among our research results is findings on the connection between IoTs - Internet of Things and blockchain tech, as well as relationship between AI - Artificial intelligence and blockchain tech. Last but not least authors propose cybersecurity risk solutions and there are policies implications attached.

Industry 4.0 technology provision: the moderating role of supply chain partners to support technology providers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Brittes Benitez ◽  
Mateus Ferreira-Lima ◽  
Néstor F. Ayala ◽  
Alejandro G. Frank
Keyword(s):  
Supply Chain ◽  
Customer Loyalty ◽  
Open Innovation ◽  
Industry 4.0 ◽  
Technology Innovation ◽  
Technology Development ◽  
Competitive Strategies ◽  
Content Type ◽  
Innovation Activities ◽  
Long Run

Purpose The provision of Industry 4.0 solutions demands a vast range of technology domains. To provide these solutions, small and medium-sized enterprises (SMEs) may need the support of different supply chain actors through an inbound open innovation strategy. The authors study the contribution of four types of supply chain actors for inbound open innovation: suppliers, competitors with complementary technologies, R&D centers and customers. The authors analyze how these four actors moderate the effect of integrated Industry 4.0 solutions on three main competitive strategies: cost, focalization and differentiation. Design/methodology/approach The authors conducted a survey on 77 SMEs from the automation sector, using OLS regression with moderating effects. They considered the integration of 15 technologies and 7 classic automation activities in the provision of Industry 4.0 solutions. The authors also studied three competitive outputs – technology cost reduction (cost), customer loyalty (focalization) and technology innovation (differentiation) – as well as four supply chain actors (moderators). Findings Expanding the provision of Industry 4.0 technologies increases customer loyalty and technology innovation. Collaboration with competitors (complementary technologies) leverage these results and reduce technology costs. Integration between customers and R&D centers elevates costs but R&D centers can foster long-run innovation. Originality/value This study is the first to empirically investigate inbound open innovation in the supply chain for technology development in the context of Industry 4.0. The authors discuss how these actors contribute to four inbound open innovation activities: technology scouting; horizontal technology collaboration; vertical technology collaboration; and technology sourcing.

The Effect of Artificial Intelligence on Management Process

2020 ◽  
pp. 22-41
Author(s):  
Mustafa Sundu ◽  
Sebnem Ozdemir
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Data Science ◽  
Digital Transformation ◽  
Management Process ◽  
Science Department ◽  
Learning Set ◽  
Transformation Processes ◽  
Managerial Perspective

Artificial intelligence has started to dominantly affect every sector in Industry 4.0. However, the adaptation of the concept to managerial processes are closely related to the concepts of data science and digital transformation. Because artificial intelligence applications being developed are within the scope of artificial narrow intelligence (ANI), that situation requires the company to have a digital transformation policy in order to use artificial intelligence in managerial processes. In addition, to avoid biased artificial intelligence applications, the learning set of artificial intelligence requires a highly rigorous design. This necessitates the establishment of a data science department within the company. In this chapter, digital transformation processes in managerial perspective and the surrounded effect of artificial narrow intelligence on management are discussed.

Use of Information Technology in the Supply Chain Management of the Pharmaceutical Industry

2022 ◽  
pp. 137-168
Author(s):  
Saibal Kumar Saha ◽  
Sangita Saha ◽  
Ajeya Jha
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Pharmaceutical Industry ◽  
Successful Implementation ◽  
Chain Management ◽  
Role Of Information

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

Designing a hybrid cloud for a supply chain network of Industry 4.0: a theoretical framework

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balan Sundarakani ◽  
Rukshanda Kamran ◽  
Piyush Maheshwari ◽  
Vipul Jain
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Deep Level ◽  
Cloud Model ◽  
Supply Chain Network ◽  
Hybrid Cloud ◽  
Content Type ◽  
Business Goals ◽  
Shared Risk

PurposeSupply chain is the area that requires effective and integrated means of communication, shared risk, collaboration and orchestration in order to work successfully and the cloud computing has lot to offer to this domain. Cloud computing has appeared as a modern paradigm in supply chain networks for creating intelligent industries of future. The purpose of this paper is to propose a framework that can transform supply chain stakeholders toward Industry 4.0.Design/methodology/approachCloud computing is attributed with increasing competitiveness by focusing on cost reduction, greater elasticity, flexibility and maximum utilization of resources which results in successfully achieving business goals. This paper proposes a Hybrid Supply Chain Cloud model, which integrates the infrastructure, the resources and the configurations of platforms.FindingsThis research paper is aimed at proposing a hybrid cloud that essentially helps in integrating the supply chain network with the flexibility and efficiency. It is important that a supply chain network adds value to ensure customer satisfaction and this can be best achieved by collaborating it with hybrid cloud.Research limitations/implicationsThis research provides a consistent central management and comprehensive view of all computing resources, which gives organizations the knowledge they need to optimize workload placement.Practical implicationsThe findings derived from this research aim to facilitate policy makers and practitioners to develop effective courses of action in current and future supply chain management. Therefore, upon implementation, this model can provide long-term benefits for the organizations by improving the overall efficiency of its supply chain network.Originality/valueThe proposed hybrid cloud will provide deep level of integration in Industry 4.0 situation and thereby brought up portable comprehensive infrastructure based on resources and required configuration in real-time environment.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals Digital Transformation for Sustainability: A Qualitative Analysis

2020 ◽  
Vol 13 (3) ◽  
pp. 30
Author(s):  
Wail El hilali ◽  
Abdellah El Manouar ◽  
Mohammed Abdou Janati Idrissi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Qualitative Analysis ◽  
Business Models ◽  
Digital Transformation ◽  
Future Research ◽  
Research Model ◽  
Four Dimensions ◽  
Digital Era ◽  
Scarcity Of Resources

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.

Methodology for cognition of digital society

2020 ◽  
Vol 3 (2) ◽  
pp. 17-26
Author(s):  
N. N. Meshcheryakova
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Research Methods ◽  
Large Volume ◽  
Digital Transformation ◽  
Digital Society ◽  
Modern Information ◽  
Short Time

Digital sociology is a computational social science that uses modern information systems and technologies, has already formed. But the conflict with traditional sociology and its research methods has not yet been resolved. This conflict can be overcome if we remember that there is a common goal – the knowledge of the phenomena and processes of social life, which is primary in relation to the methods to be agreed upon. Digital transformation of sociology is essential, since 1) traditional sociological methods do not solve the problem of providing voluminous, reliable empirical data qualitatively and in a short time; 2) the transition from contact research methods to unobtrusive ones is in demand. The adaptation of four modern information technologies-cloud computing, big data, the Internet of things and artificial intelligence – for the purposes of sociology provides a qualitative transition in the methodology of knowledge of the digital society. Cloud computing provide researchers with tools, big data – research materials, Internet of things technology aimed at collecting indicators (receiving signals) in large volume, in real time, as direct, not indirect evidence of human behavior. The development of “artificial intelligence” technology expands the possibility of receiving processed signals of the quality of the social system without building a preliminary hypothesis, in a short time and on a large volume of processed data. Digital transformation of sociology does not mean abandoning the use of traditional methods of sociological analysis, but it involves expanding the competence of a sociologist, which requires a revision of University curricula. At the same time, combining the functions of an expert on the subject (sociologist) and data analyst in one specialist is assessed as unpromising, it is proposed to combine their professional competencies in working on unified research projects.

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