Complexity of Business Network Relationships

Any project consists of a set of interconnected and interrelated activities in a specific order that are carried out at a specific time. The size of the projects, their high costs, and the complexity of their activities made it necessary to make a careful and prior planning. From here came the idea of business networks, where scientific analysis was adopted for project planning, scheduling and reviewing by representing these projects with a network that shows the sequence of their activities at appropriate costs and times. Since such networks need time and effort to implement, the researcher used one of the smart techniques (the weed algorithm) and applied it to some business network issues that require great time and effort that increase as the size of the project increases. By applying the algorithm to some of these issues, it succeeded in achieving the required results in a record time (a few minutes) and according to the size of the issue, and hardly a little effort, in the first issue, the results (the expected time for each activity, determining the critical path, calculating the time needed to complete the critical path) achieved results in approximately one minute, and the second issue took less than two minutes. As for the third issue, the results were given in approximately two and a half minutes. Thus this smart technology has achieved the desired results in the least possible time and effort. Such a technique can be used and implemented on problems in different fields due to its accuracy, efficiency and speed in solving problems.

Download Full-text

Construction of Community Life Service in the Sharing Economy Based on Deep Neural Network

Computational Intelligence and Neuroscience ◽

10.1155/2021/7703152 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Di Qu ◽

Dianya Deng

Keyword(s):

Neural Network ◽

Network Structure ◽

Deep Neural Network ◽

Service Industry ◽

Sharing Economy ◽

Community Life ◽

Business Network ◽

Neural Network Algorithm ◽

Neural Network Theory ◽

Result Analysis

Currently, the development of sharing economy and interconnection also has a profound impact on community life services. This study is based on the deep neural network theory, combined with the evolution mechanism of the commercial network of the community life service industry, link prediction theory, and the latest deep neural network algorithm, referring to the evolution model of merger and stripping, and the network structure is optimized on this basis. Through simulation experiments and result analysis, the model is used to deeply study the evolution trend and dynamics of the community life service business network from the perspective of quantitative analysis. Then the business network structure is optimized and development is promoted at the same time. At the same time, it can also upgrade those old scattered industries and provide theoretical and decision-making guidance for the future transformation and upgrading of the innovative community life service industry.

Download Full-text

Sphere

10.31219/osf.io/fg8r2 ◽

2019 ◽

Author(s):

Egger L. Mielberg

Keyword(s):

Business Activity ◽

Business Networks ◽

Business Network ◽

Innovative Technologies ◽

Traditional Economy ◽

Direct Dependency

A decentralization of electronic currency would allow business activity and development of a single network to be independent of other different business networks. Cost of a decentralized currency of the network can become stable as long as participants of that network are still active.We propose a solution for such a big problem of traditional economy as a “direct dependency of local prices on global ones”.We also propose an innovative mechanism that allows participants of NCN to get any service of one business network for money (hours) earned in other network (‘s).The currency is implemented by usage of two innovative technologies, “Proof of Participation protocol” (PoP) [3] and “Smart Transactions” [2].

Download Full-text