Leveraging Predictive Analytics for Strategic Corporate Communications: Enhancing Stakeholder Engagement and Crisis Management

This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a comprehensive literature review with case studies of five multinational corporations, allows us to investigate the applications, challenges, and ethical implications of leveraging predictive models in communication strategies. While our findings reveal significant potential for enhancing personalized content delivery, real-time sentiment analysis, and proactive crisis management, we stress the need for careful consideration of challenges such as data privacy concerns and algorithmic bias. This emphasis on ethical implementation is crucial in navigating the complex landscape of predictive analytics in corporate communications. To address these issues, we propose a framework that prioritizes ethical considerations. Furthermore, we identify key areas for future research, thereby contributing to the evolving field of data-driven communication management.

Digital Transformation of Enterprise Human Resource Management Enabled by Big Data

With the continuous development of big data technology,the digital transformation of enterprise human resource management has become a development trend.Human resources is one of the most important resources of enterprises,which is crucial to the competitiveness of enterprises.Enterprises need to attract,retain,and motivate excellent employees,thereby enhancing the innovation ability of enterprises and improving competitiveness and market share in the market.To maintain advantages in the fierce market competition,enterprises need to adopt more scientific and effective human resource management methods to enhance organizational efficiency and competitiveness.At the same time,this paper analyzes the dilemma faced by enterprise human resource management,points out the new characteristics of enterprise human resource management enabled by big data,and puts forward feasible suggestions for enterprise digital transformation.

Optimization Analysis of Human Resource Management Strategies of Nantong University,a Local Comprehensive University in China

This study analyzes the current situation and challenges of Nantong University amid the rapid development of higher education,addressing aspects such as faculty structure,administrative management efficiency,and promotion mechanisms.Through questionnaire surveys and field research,coupled with SWOT analysis and various theoretical methods,a comprehensive analysis was conducted on Nantong University’s internal and external environment.The study proposes an improved comprehensive development strategy and implementation measures,which include updating management concepts,strengthening professional training,optimizing employment conditions,and improving salary systems.Ultimately,this study provides practical strategies for human resource management and the transformational development of Nantong University and other local comprehensive universities.

Research on the Seismic-Geological Conditions for a Large Transformer Substation-A Case Study in the Shimian Region,Sichuan Province

A seismic-geological disaster can obviously affect an engineering site in three aspects:the first is ground faulting caused by the earthquake;the second is strong ground motion;the third is geological disasters such as landslides,mud-rock flows and liquefaction.Through the case study of selection of the huge transformer substation in the Shimian region of Sichuan Province,this paper proposes that the activity pattern and spatial distribution of faults near the site are crucial factors for evaluating the seismic-geological conditions for the location of huge transformer substations.

Application of Mobile Intelligent Inspection System in Substation Equipment Management

Intelligent inspection is more and more widely applied in all walks of life. This paper introduces the application of the intelligent inspection system in substation equipment management based on mobile phone terminal. It can make the power supply enterprise have more effective means to ensure the safe operation of equipment, improve equipment management level, and improve the economic benefits of power supply.

Thinking substation construction project management methods

One of the most important tasks of security is the quality of the project substation substation construction project management, construction project management, including project bidding and engineering, electrical engineering and civil construction, engineering, quality control, safety management and supervision costs control, on-site supervision over the links, these links chain, indivisible, so long as a part of the management problems, will lead the entire construction project management effectiveness be affected, so it must be every link control and management work done, in order to guarantee the quality of the entire substation, in order to make security of supply substations, electrical safety and vital interests of users are protected. In this paper, the author details the three aspects substation construction management of the project, namely the concept of substation engineering, project management and construction safety, through these three aspects, the author analyzes the construction project management substation existing problems, To solve these problems and issues proposed some measures and construction process that need attention. It launched separately from the design, schedule, quality and other aspects of security and research, and in the course of the study stressed the importance of coordination between elements of construction and construction sectors as well as cooperation between the construction, explains the importance of the project cost control.

Management of Charging Load of Electric Vehicles for Optimal Capacity Utilisation of Distribution Transformers

A de-centralised load management technique exploiting the flexibility in the charging of Electric Vehicles (EVs) is presented. Two charging regimes are assumed. The Controlled Charging Regime (CCR) between 16:30 hours and 06:00 hours of the next day and the Uncontrolled Charging Regime (UCR) between 06:00 hours and 16:30 hours of the same day. During the CCR, the charging of EVs is coordinated and controlled by means of a wireless two-way communication link between EV Smart Charge Controllers (EVSCCs) at EV owners’ premises and the EV Load Controller (EVLC) at the local LV distribution substation. The EVLC sorts the EVs batteries in ascending order of their states of charge (SoC) and sends command signals for charging to as many EVs as the transformer could allow at that interval based on the condition of the transformer as analysed by the Distribution Transformer Monitor (DTM). A real and typical urban LV area distribution network in Great Britain (GB) is used as the case study. The technique is applied on the LV area when its transformer is carrying the future load demand of the area on a typical winter weekday in the year 2050. To achieve the load management, load demand of the LV area network is decomposed into Non-EV load and EV load. The load on the transformer is managed by varying the EV load in an optimisation objective function which maximises the capacity utilisation of the transformer subject to operational constraints and non-disruption of daily trips of EV owners. Results show that with the proposed load management technique, LV distribution networks could accommodate high uptake of EVs without compromising the useful normal life expectancy of distribution transformers before the need for capacity reinforcement.

Maximum Inner Product Method for Extracting the Path-Loss Parameters in Primary Transformer Substations

In order to deploy short-range wireless communication devices in the primary transformer substation, a Maximum Inner Product(MIP) Method is proposed to extract the path-loss parameters in 110 kV and 220 kV primary transformer substations. The maximum inner product of the testing data is calculated to find out the loss index n and the standard deviation σ, and then the pathloss models can be set up. By comparing the MIP with Minimum Mean Square estimation(MMSE) and Cumulative Sum(CUSUM), MIP can match the measured values best. In order to apply the MIP path-loss model, under the initial signal to noise ratio(SNR) at 5 dB and 10 dB, a ZigBee simulation system is constructed to validate the situation that bit error rate(BER) varies with distance. And the ZigBee devices with 5 units are tested in a 220 kV primary transformer substation. The result of the test proves that the path-loss model is accurate.

Enhancement of Audit Closed-Loop Management for Optimal Audit Results Transformation

The process of converting audit findings into actionable improvement measures within an enterprise is pivotal for achieving the“value-added”objective of internal audits and fostering sustainable business development.By elucidating the definition and significance of transforming internal audit results,this study underscores the imperative of applying and effectively converting these findings.Additionally,it seeks to streamline the value assessment framework for internal audit result transformation and delineates key factors that impede this transformation.Furthermore,this study explores strategies to bolster the closed-loop audit management system and outlines specific methods for enhancing the transformation of internal audit results within the enterprise,thereby contributing to its overall progress.

Planning of Anti-Disaster Transformer Substation Based on NN and PSO

Recently, the frequent extreme natural disasters made enormous damage to the electric grid leading to blackouts. The lifeline system aiming at providing continuous power supply for the important load in extreme natural disasters was designed in that condition. In this paper, a developed model for planning of the transformer substation in lifeline system? which considered the effect of existing transformer substations, the motivated areas and punishment areas was proposed. The Hopfield NN was adopted to solve the feeders and the PSO was adopted to new the locations of the transformer substations based on the feeders. The planning result not only took fully use of the existing substation but also get the suitable location for new construction which was satisfactory.

Planning of Anti-Disaster Transformer Substation Based on NN and PSO

Recently, the frequent extreme natural disasters made enormous damage to the electric grid leading to blackouts. The lifeline system aiming at providing continuous power supply for the important load in extreme natural disasters was designed in that condition. In this paper, a developed model for planning of the transformer substation in lifeline system which considered the effect of existing transformer substations, the motivated areas and punishment areas was proposed. The Hopfield NN （neural network） was adopted to solve the feeders and the PSO （particle swarm optimization） was adopted to new the locations of the transformer substations based on the feeders. The planning result not only took fully use of the existing substation but also got the suitable location for new construction which was satisfactory.

Development of Wafer Warehouse Management System for Semiconductor Manufacturing Foundry Supply Chain

Efficiency of supply chains management mostly depends on the process coordination and information integration between the supply chain companies.The well-known integrated circuit design houses,the wafer fabrication industries, and the integrated circuit packaging/testing business has together formed a contiguous supply chain from materials to system in Taiwan during the past decades.Logistic management of the wafer hence becomes the key linkage in the semiconductor foundry supply chain.The objective of this paper is to develop the wafer warehouse management system for global wafer logistics.Current operations for wafer logistics management are firstly reviewed. The system requirements are analyzed by the model-driven business transformation approach.The business operation model and the platform-independent solution architecture for the wafer logistics management are constructed.A prototype information system is also developed for validation.Results of this research can improve the effectiveness and efficiency in wafer logistics management for the semiconductor foundry supply chain.

Developing a Geological Management Information System: National Important Mining Zone Database

Geo-data is a foundation for the prediction and assessment of ore resources, so managing and making full use of those data, including geography database, geology database, mineral deposits database, aeromagnetics database, gravity database, geochemistry database and remote sensing database, is very significant. We developed national important mining zone database （NIMZDB） to manage 14 national important mining zone databases to support a new round prediction of ore deposit. We found that attention should be paid to the following issues： ① data accuracy： integrity, logic consistency, attribute, spatial and time accuracy; ② management of both attribute and spatial data in the same system;③ transforming data between MapGIS and ArcGIS; ④ data sharing and security; ⑤ data searches that can query both attribute and spatial data. Accuracy of input data is guaranteed and the search, analysis and translation of data between MapGIS and ArcGIS has been made convenient via the development of a checking data module and a managing data module based on MapGIS and ArcGIS. Using AreSDE, we based data sharing on a client/server system, and attribute and spatial data are also managed in the same system.

Analyzing and Designing Business Processes Management System Based on Transformation of Instantiated Ontology’s State

The paper discusses efforts of finding a simple and transparent method to analyze business processes and developing its management system architecture. By introducing ontology and its state, the approach tried to find a unified representation and a flexible choreography of business processes. The main idea of the paper is the transformation of ontology＇s states, which are the most important scenarios of enterprises. The business activity composition, that is, case composition based on an AI technique, Case Based Reason （CBR）, which is to solve new problems by retrieving solutions to previous problems, and then store the modified solution. The main interest in CBR relies on that it allows a system to avoid past failures and exploit past successes.

Hydraulics Management Model of Response Function Solved by Laplace Transform Boundary Element Method

In solving a response function by the boundary element method, the use of the singular valued method and the Laplace transform in a time domain makes the solving process be simplified and the result be accurate. The restricted condition matrix formed by the response matrix method is much smaller than that by embedding method. In addition, the response function may realize directly the management decision making. So it is efficient for establishing and solving hydraulics management models.

Evaluation of Global Operational Competitiveness With Risk Management

This paper is aiming to connect previous research in global competitiveness analysis, taking the impact of the global financial crisis into account, to evaluate how manufacturing companies are able to manage crisis by adjusting their manufacturing strategy and transformational leadership together with technology level to improve their global operational competitiveness performances. Based on the previous research, we developed a theoretical approach of modeling the core factors which influence the operational competitiveness performance （i.e., manufacturing strategy and transformational leadership with technology level）, into conceptual analytical models to evaluate overall competitiveness. The empirical studies are focused on manufacturing companies in China, Finland, Slovakia, Iceland, and Spain. The case companies are evaluated with the proposed analytical models and their performances are compared in global context to conclude the experience of crisis management.

Leadership,Knowledge Management,and Human Capital Development

This research highlights the need to develop a framework for leadership,human capital development,and knowledge management by reviewing existing literature in the field of research.The main aim of this research is to propose a model which supports the relationship between leadership(servant leadership,transformational leadership)and human capital development.The study also proposes that knowledge management(knowledge sharing,knowledge acquisition)will moderate the relationship between leadership(servant leadership,transformational leadership)and human capital development.A set of propositions that represent an empirically-driven research agenda,and also describe the relationships between the focal variables are presented to enhance audience’s understanding within a business context.

Impact of Chinese social transformation on the reform of social st）orts management system

China after the efforts of reform and opening up for 30 years, has established a relatively complete featuring system of sports administration, providing a system of protection for sports development in China. With the further improvement of the socialist market economy, the existing sports administrative functions are incompatible with the economic and social side of the market gradually. The current sports administrative functions can no longer adapt to the development and deeper reforms of sports system are imminent. Only by speeding up the reform of sports administration, can eliminate obstacles and promote rapid and healthy development of China＇s sports industry. In this paper, the object is the administrative functions of the sport in the social transformation period, through expert interviews, literature, and logical analysis, comparative study to discuss the problems of the administrative functions of sport in the social transformation period and propose appropriate countermeasures. Studies suggest that： sports administration departments should focus to implementing national policies, the development of the sports industry policy research and development planning, management and delivery of services. In accordance with the uniform principles of responsibility, rights and interests, to further clarify the responsibilities of all levels of sports administration, handling good working relationship between them. By Complete separation between rowing and steering, governance and administration, government and industry, to achieve ＂four transformations＂, and to break plan ＂all-round＂ type of government in the economic system, and establish ＂limited＂ government, effectively carry out the functions of guidance, policy regulation, market supervision, social management and public services.

The Transformation of Government Economic Functions in Public Economic Management

Public economics is a science of studying government economic behaviors, and an interdiscipline of politics and economics. As China is at the primary stage of socialism and the development of various domestic causes is still in a period of exploration, it is very important for the reform of the socialist modernization to strengthen domestic administrative management. Society is the subject of national reform and development in the long run, and thus maintaining the stability of domestic social order is not only the prerequisite for the long-term survival and development of China, but also the key requirement of ensuring people to live and work in peace and contentment. This thesis, first of all, introduces the management concept of public economy and the necessity of government＇s involvement in supervising economy. And on the basis of these, the thesis put forward the direction of transforming government economic functions and several precautions that should be noticed in government economic behaviors.

Research on the Applications of Probability Model and Matrix Transformation in Data Analysis and Management under the Environment of Information Time

In this paper, we research the probability theory and matrix transformation based technique to manage the data for processing and analysis. Clustering analysis research has a long history, over the decades, the importance and the cross characteristics with other research direction to get the affirmation of the people. The probability theory and linear algebra act as the powerful tool for analyzing and mining data. The experimental result illustrates the effectiveness. In the near future, we plan to conduct more theoretical analysis on the topic.