scholarly journals Integrative Digital Transformation and Organizational Competitiveness(OC): Proposal for a Transition Strategy to the Aeronautics Industry 4.0 (TSAI) based on a Knowledge Management(KM) approach in a Moroccan ecosystem environment

2021 ◽  
Vol 319 ◽  
pp. 01021
Author(s):  
Ettaibi Mohamed ◽  
Mokhtari Bouchaib
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Industry 4.0 ◽  
Dynamic Capabilities ◽  
Aerospace Industry ◽  
Digital Transformation ◽  
Strategic Knowledge ◽  
Digital Resources ◽  
Transition Strategy ◽  
Aeronautical Industry

The objective of our paper is to transpose the Industrial Acceleration Plan 2.0 on the aeronautical industry in Morocco (IAM) by proposing a transition strategy to the aeronautical industry 4.0 (STIA 4.0). The latter will be based on the establishment of a transverse ecosystem (TSE) of knowledge management (KM) that will feed the innovation by strategic knowledge. The objective is to innovate through the exploitation of Big Data to implement the transverse ecosystem digital and renewable energy. This is justified by the fact that the digitization and decarbonization of industries have become the main vectors of competitiveness of companies in the aerospace industry 4.0. The choice of the latter, to conduct our study, is justified by the fact that it is a sector that requires digital resources to cope with its sophistication. Despite its complexity, it can be developed by own resources in the Moroccan context. That is why we have proposed this integrative strategy that integrates, in addition to digitalization, other resources (Barney, 1991) based on dynamic capabilities (Teece and all, 1997) and that takes into account the context and contextualization (Doha S. and Louitri A., 2020).

scholarly journals Development of the Logistics 4.0 Concept in the Digital Economy

2020 ◽  
pp. 85-96
Author(s):  
N. Trushkina ◽  
◽  
H. Dzwigol ◽  
O. Serhieieva ◽  
Yu. Shkrygun ◽  
...  
Keyword(s):  
Big Data ◽  
Customer Service ◽  
Industry 4.0 ◽  
Business Processes ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Transformation ◽  
Digital Platforms ◽  
Delivery Times ◽  
Sustainable Logistics

The transition to a digital economy is becoming a key driver of GDP growth. This is due not only to the effect obtained from the automation of existing processes, but also from the introduction of new, breakthrough business models and technologies, including digital platforms, digital ecosystems, in-depth analytics of big data, Industry 4.0, Logistics 4.0. At the same time, digital transformation is seen as a radical change in the complex of business processes, from product development to customer service, as well as the introduction of modern digital technologies in the organization of business processes in enterprises. The purpose of the article is to analysis the features and trends of organizing logistics activities in the context of digital transformation of business processes; research of the main prerequisites for the formation of the Logistics 4.0 concept; determination of priority directions for its further development in the context of Industry 4.0. Based on the generalization of scientific approaches, the definition of the concept of "Logistics 4.0" has been clarified, which means the modern paradigm of managing logistic (material, financial, information, transport) flows and organizing a complex of logistics activities (purchase and delivery of material resources, warehousing, production, stock formation, recycling of industrial waste, customer service, transportation and sale of finished products) using breakthrough digital technologies and information systems. The priority areas of organizing the logistics activities of enterprises using digital technologies include the following: multichannel logistics; logistics marketplaces; rethinking the use of packaging; mass personalization; Silver Economy (new services for older clients and new opportunities for older workers); sustainable logistics; sharing economy; multi-supply; customer experience; smart containerization; big data analytics; augmented and virtual reality; cloud service applications and APIs; Internet of Things; robotics and automation; new generation wireless communication; blockchain; Artificial Intelligence; unmanned aerial vehicles or "drones"; 3D printing; unmanned vehicles; quantum computing; supergrid logistics; space logistics; the use of digital platforms that unite customers and transport and logistics companies (the parties can enter into digital contracts, exchange transport booking requests and electronic documents, control the delivery of goods in real time). All this can help to reduce costs by optimizing procurement; decrease in personnel costs and decrease in labour costs as a result of automation; reduction of errors in logistics; optimization of the supply process; efficient warehouse management; forecasting shipments; creation of optimal routes; operational planning of loads and control of delivery times; ensuring product delivery on time, improving customer loyalty; optimal interaction with customers on the "last mile".

scholarly journals BIG DATA ON DIGITAL LOGISTICS IN SUPPLY CHAIN RISK PERSPECTIVE

2018 ◽  
Vol 2 (1) ◽  
pp. 21-30
Author(s):  
Resista Vikaliana
Keyword(s):  
Big Data ◽  
Early Warning System ◽  
Industry 4.0 ◽  
Warning System ◽  
Digital Transformation ◽  
Risk Indicators ◽  
Decision Making Process ◽  
Supply Chain Risk ◽  
Web Based ◽  
Wide Range

In Industry 4.0, digital transformation moves quickly, flexibly and efficiently. Logistics and supply chains have transformed into web-based. Internet of things (IoT) and Big Data are important in the decision making process.  The importance of big data doesn’t revolve around how much data you have, but what you do with it. In addition to the opportunities to use big data, there are possible risks that must be anticipated. The wide range of data that can be obtained, so that in practice key risk indicators will act as an early warning system for the entity. Key risk indicators and their parameters.

scholarly journals Achieving strategic flexibility in the era of big data

2020 ◽  
Vol 58 (8) ◽  
pp. 1585-1600 ◽  
Author(s):  
Riccardo Rialti ◽  
Giacomo Marzi ◽  
Andrea Caputo ◽  
Kayode Abraham Mayah
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Structural Model ◽  
Methodological Approach ◽  
Strategic Flexibility ◽  
Content Type ◽  
Knowledge Management Capabilities ◽  
Management Capabilities

PurposeThis research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine.Design/methodology/approachStructural equation modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe.FindingsThe results indicate that BDA capabilities are a significant antecedent of an organisation's strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity.Practical implicationsManagers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility.Originality/valuePrevious research has explored the theoretical links between big data, knowledge management and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

Revisiting Corruption Mathematical Models in the Fourth Industrial Revolution

2021 ◽  
pp. 270-296
Author(s):  
Arpita Patra ◽  
Lovemore Matipira ◽  
Fanny Saruchera ◽  
K. S. Sastry Musti
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Mathematical Models ◽  
Case Studies ◽  
Industry 4.0 ◽  
Computational Models ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Fourth Industrial Revolution ◽  
Several Variables

Analyzing corruption is a topic of interest to many and is indeed very complex due to its inherent difficulties with its identification and quantification. Past studies present several variables, indices, computational models, and approaches, but their relevance in the fourth industrial revolution (Industry 4.0) has been debatable. This chapter addresses the need to revisit the mathematical models and approaches in the Industry 4.0 context. The chapter provides a foundation for this argument through a compressive literature review followed by a proposal of a three-stage concept for corruption identification. The chapter illustrates two case studies from which a strong justification derives for considering the digital transformation and use of big data to deal with corruption and improve the external and internal perceptions about corruption in general.

scholarly journals Proposal of a research design for the implementation of new vectors of supply chain transformation: application to the aeronautical industry in Morocco using a knowledge management approach in an ecosystemic context

2021 ◽  
Vol 119 ◽  
pp. 03005
Author(s):  
Mohamed Ettaibi ◽  
Mokhtari Bouchaib
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Methodological Approach ◽  
Aerospace Industry ◽  
New Economy ◽  
Management Approach ◽  
Aeronautical Industry ◽  
New Generation ◽  
Chain Transformation

In the context of the new economy, the new vectors of competitiveness of companies in the aerospace industry organized within efficient ecosystems (EFECO) will be based more on knowledge. These are Industry 4.0 and the decarbonization of production based on knowledge management (KM). These two levers will be the foundations of the transformation of the aeronautical supply chain in the future. For their implementation, we made a case study on a non-probability sample of 17 partners. At the end of this investigation, we propose implementing a new generation of transversal ecosystems within the framework of a new Industrial Acceleration Plan 2.0. This new form of organization will facilitate a collaborative sharing of knowledge between all the ecosystemic components with a view to innovation. Starting from the Industrial Acceleration Plan ( IAP) (2014-2020), we will make our proposal based on a knowledge management approach. In this context, our epistemological posture will be interpretative with a constructivism arranged. Our methodological approach will be qualitative. Our study will be in line with a perspective of proactivity and supposition.

scholarly journals The Impact of Digital Transformation on Business Performance: A Study of Pakistani SMEs

2019 ◽  
Vol 9 (6) ◽  
pp. 5056-5061 ◽  
Author(s):  
M. F. Mubarak ◽  
F. A. Shaikh ◽  
M. Mubarik ◽  
K. A. Samo ◽  
S. Mastoi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Business Performance ◽  
Positive Impact ◽  
Cyber Physical Systems ◽  
Digital Transformation ◽  
Infrastructure Development ◽  
Physical Systems ◽  
The Impact

Business ecosystems are continuously evolving. In this hyper-competitive era, firms are increasingly transforming their business operations through advanced digital technologies. Gone are the days of mere testing and debating the influence of digital transformation and industry 4.0, yet the time has come for actionable steps. Therefore, this study has identified the role of industry 4.0 technologies including big data, cyber-physical systems, internet of things and interoperability, on the performance of Small and Medium-sized Enterprises (SMEs) in Pakistan. A relevant questionnaire was developed and distributed randomly in the cities of Karachi, Lahore, Peshawar, Islamabad, Gujrat, and Sialkot. After applying multiple regression techniques through SPSS, it was found that big data, cyber-physical systems, and interoperability have a significant positive impact to improve business performance, while the insignificant effect of internet of things was revealed. Since the research in the area of digital transformation and industry 4.0 is scant, the current study has contributed novel directions, insights and a framework for future researchers. Moreover, this study will help managers to justify the allocation of resources towards technological infrastructure development in the operations of their firms. Finally, policymakers will find it helpful in order to devise suitable strategies for developing human capital and to enhance their absorptive capacity.

Model for the Incorporation of Big Data in Knowledge Management Oriented to Industry 4.0

2018 ◽  
pp. 683-693 ◽  
Author(s):  
Lizeth Juliana Arenas Cárdenas ◽  
Whitney Fernanda Tenjo Ramírez ◽  
José Ignacio Rodríguez Molano
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Industry 4.0

HIMSS Impact18: Leading Digital Transformation und Big Data in Medicine

2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann
Keyword(s):  
Big Data ◽  
Digital Transformation

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.

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