Efficacy of the Cloud Computing Technology In the Management of Communication and Business Processes of the Companies

The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with the Use of Machine Learning

“…The results of the research, the review of scientific literature [ 41 , 42 , 43 , 44 , 45 , 46 , 47 ], and business studies [ 48 ] allow the Authors to draw more general conclusions on advantages related to the use of ML algorithms in pragmatics of control and management of logistics processes, which are summarized below. When considered from a synthetic perspective, the following statements can be assumed to be true: ML algorithms are able to establish priorities and to automate the process of making managerial decisions (also in the context of control) in complex and simple logistics systems (e.g.,: OP-TO); ML algorithms are able to establish priorities and to automate the process of making managerial decisions (also in the context of control) in complex and simple logistics systems (e.g.,: OP-TO); ML uses historical and real-time generated data for learning; this fact defines flexibility of management systems that apply ML; Algorithm-based business uses advanced ML algorithms to achieve a high level of automation—transition to this type of activity makes way for new innovative business models; ML provides the possibility to analyse large resources of complex data and streaming data and to draw conclusions—also from predictive analysis—that can be unavailable to the human mind; Intelligent, ML-supported business processes can considerably increase efficiency of logistics-oriented systems; they make it possible to develop precise plans and forecasts, to automate tasks, to reduce costs, and to eliminate most human errors; As there is an increasing interest in the development of ML systems to include a function for explainability, it may be further developed in cognitive computing systems.…”

“…As has been already mentioned, the continuation of the stage 2 and future research is needed to develop and test further predictive modelling to optimize e-commerce supply-chain management. The early adopters of ML for supply-chain logistics will be able to exponen- The results of the research, the review of scientific literature [41][42][43][44][45][46][47], and business studies [48] allow the Authors to draw more general conclusions on advantages related to the use of ML algorithms in pragmatics of control and management of logistics processes, which are summarized below. When considered from a synthetic perspective, the following statements can be assumed to be true:…”

Major transformations of the 21st century logistics and their implications to the logistics mahagement

“…-the development of information and communication technology, the emergence and development of the concept of Cloud-computing and BigData (Kopishynska et al, 2016), -growing importance of innovation -building the culture of innovation, -virtualization of processes and activities, sensory perceiving, -the concept of "Industrial Revolution 4.0" and automation of logistics processes, -the Internet of Things and the Internet of Everything together with the concept of Omni-Chanel, -development of the concept of "green logistics" and sustainable development, -development of large cities and other demographic phenomena -development of urban logistics, -development of intelligent transport systems (ITS), in particularly the implementation of C-ITS, -development of logistics infrastructure -building logistics capacity, -development of logistics services, particularly in the area of TLS, -development of the concept of 3D printing. The solutions based on the idea of "the Internet of Things" (IoT) are now one of the most dynamically developing concepts.…”

The Process of Digital Transformation as a Challenge for Companies

“…These relationships are based on a mutual flow of information, its coding, processing and utilization. Computerization, informatization and networking makes not only the information transfer itself possible but also the exchange of experience and hence creation of knowledge resources of all subjects taking part in it (Brzozowska, Gałych 2015, p. [21][22]. In such a way it secures the inclusion of the customer in the process of creating value and generally makes it possible for everyone who has necessary qualifications to becomes an employee (Caputa 2016).…”