scholarly journals Study on Economic Activity Analysis based on the Interaction of “Operation, Value and Performance”

2020 ◽  
Vol 165 ◽  
pp. 06009
Author(s):  
Jie Gao
Keyword(s):  
Big Data ◽  
Economic Activity ◽  
Corporate Strategy ◽  
Activity Analysis ◽  
Operating Efficiency ◽  
Analysis Model ◽  
Business Decision ◽  
Traceability Analysis ◽  
And Performance ◽  
Analysis System

In order to meet external regulation and challenges, and improve the quality of internal economic activity analysis, this study establishes a linkage analysis system from corporate strategy to strategic objectives to financial indicators to business indicators by building 3 independent and interrelated analysis models. One of them is the model of influencing factors of change of operating efficiency index, one of them is the traceability analysis model of the sales of electricity and electricity price, and the last one is an investment performance traceability analysis model. In this study, the actual data of a unit is used as an example. With the help of big data analysis, we fully tap the value of the company’s big data, accurately locate the weak links and risk points of management. By doing this we finely promote economic activity analysis system more comprehensive, more real-time, more dynamic and more intelligent, and thus improve the efficiency of business decision-making. The practicality of economic activity analysis based on “operation, value and performance” is confirmed.

scholarly journals Research on Economic Activity Analysis System of Power Grid Enterprises Based on DuPont Model

2019 ◽  
Vol 242 ◽  
pp. 022012
Author(s):  
Jinglong Zhou ◽  
Changzhan Han ◽  
Yongli Wang ◽  
Fuli Zhang ◽  
Xiangming Wu ◽  
...  
Keyword(s):  
Economic Activity ◽  
Power Grid ◽  
Activity Analysis ◽  
Analysis System

scholarly journals Prospects for Using Big Data in Financial Analysis

2021 ◽  
Vol 110 ◽  
pp. 05004
Author(s):  
Igor Sadyrin ◽  
Olga Syrovatskay ◽  
Olga Leonova
Keyword(s):  
Big Data ◽  
Economic Activity ◽  
Financial Analysis ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Maximum Effect ◽  
Economic Activities ◽  
Analysis System ◽  
Effective Use ◽  
Big Data Technology

The ongoing digital transformation of the national economy inevitably sets the task of introducing digital technologies and tools into the practice of economic activities of organizations and enterprises. One of the areas of digitalization is Big Data technology, which in many ways is already being used in the field of finance. However, for the effective use of big data in the practice of financial analysis of economic activity, it is necessary to solve a variety of significant problems. The article discusses the promising directions of using big data in financial analysis procedures, which, being integrated into the system of forming various management decisions, can significantly increase their efficiency. The necessary elements of the financial analysis system, which, first of all, should be focused on the use of big data, are considered, as well as aspects that, when using digital technologies, can provide the maximum effect.

scholarly journals Strategic Management Model of Network Organization Based on Artificial Intelligence and Modular Enterprise Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yan Guo ◽  
Xiaojing Lyu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Strategic Management ◽  
Performance Management ◽  
Corporate Strategy ◽  
Practical Experience ◽  
Management Mode ◽  
Management Model ◽  
Significant Difference ◽  
And Performance

Modularization has been a research hotspot in recent years. Among these, there are two issues that many scholars pay attention to. First, we must know what factors cause modularization, and secondly, what impact modularization has brought to enterprises. The era of information technology background makes enterprises have to deal with more and more complex information. The integration and application of internal knowledge resources also force enterprises to adjust their structure, so that knowledge can spread and create value within the enterprise more effectively. This paper, based on artificial intelligence and modular enterprise big data, constructs a matching model of corporate strategy and performance management mode, determines four different matching methods based on corporate strategy and performance management mode, and puts forward corresponding assumptions. This article selects the participants of EMBA and MBA courses offered by several universities as the survey subjects. Most of them are enterprise managers, have many years of management practical experience, have a good understanding of the basic situation of the enterprise, and can truly understand the scale and make a choice based on the actual content. In this paper, a strategic management model based on artificial intelligence and modular enterprise big data construction proves that paired sample T test can be found, the data analysis is based on the various indicator scores of the enterprise modularity level, and the resulting P value is less than 0.05 as a significant difference, which proves that these two indicators are too quantitative. The company has not done relevant statistics, so it is difficult to make a practical answer. Through comparison and analysis, it is more likely to find the gap between the company’s financial strategy and its competitors, and then it is possible to make targeted improvements and upgrades.

Big for Everyone? Big Data, Firm Size and Performance

2020 ◽  
Author(s):  
Raffaele Conti ◽  
Miguel Godinho de Matos ◽  
giovanni valentini
Keyword(s):  
Big Data ◽  
Firm Size ◽  
And Performance

scholarly journals A comprehensive KPI network for the performance measurement and management in global production networks

2021 ◽  
Author(s):  
B. Verhaelen ◽  
F. Mayer ◽  
S. Peukert ◽  
G. Lanza
Keyword(s):  
Performance Measurement ◽  
Corporate Strategy ◽  
Performance Indicator ◽  
Production Network ◽  
Manufacturing Companies ◽  
Production Networks ◽  
Global Production Networks ◽  
Performance Review ◽  
And Performance ◽  
Corporate Level

AbstractThe trend of globalization has led to a structural change in the sales and procurement markets of manufacturing companies in recent decades. In order not to be left behind by this change, companies have internationalized their production structures. Global production networks with diverse supply and service interdependencies are the result. However, the management of global production networks is highly complex. Key performance indicator (KPI) networks already exist at the corporate level and site level to support the management of complex systems. However, such KPI networks are not yet available to support the management of entire production networks. In this article, a KPI network for global production networks is presented, which links the key figures of the site level and the corporate level. By integrating both levels into a comprehensive KPI network, cause and effect relationship between the production-related KPIs and the strategic KPIs of a corporate strategy become transparent. To this end, this KPI network is integrated into a Performance Measurement and Management (PMM) methodology. This methodology consists of three phases: performance planning, performance improvement, and performance review. For testing the practical suitability, the PMM methodology is applied to the production network of an automotive supplier using a simulation model to estimate the effects of proposed improvement actions of the methodology.

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