本文選題：肉制品網(wǎng)絡輿情 + 危機預警體系��； 參考：《華中師范大學》2014年碩士論文

【摘要】：當前社會是一個數(shù)字化、信息化高度發(fā)達的社會,人們通過網(wǎng)絡進行信息傳遞變得越來越普遍。中國一共13億多人,其中,截止到2013年3月底,全國注冊微博賬戶有5.36億個。龐大的用戶群體、便利的信息溝通方式、快速的信息傳播速度、廣泛的信息影響力。微博在給人們信息傳播帶來方便快捷的同時,也給企業(yè)負面信息的傳播帶來機會。肉制品是跟老百姓息息相關的農(nóng)產(chǎn)品,任何有關肉制品的食品安全問題的信息經(jīng)過微博的傳播就會對企業(yè)帶來絕大的社會輿論影響。為了幫助肉制品企業(yè)在面對網(wǎng)絡輿情過程中度過難關,重樹公眾良好形象,有必要專門就肉制品企業(yè)做出肉制品企業(yè)的網(wǎng)絡輿情危機預警的體系,幫助相關企業(yè)發(fā)現(xiàn)輿情熱點,做出預警和采取措施。 本文的研究思路主要可以分為五大步：第一步,介紹相關概念,界定微博傳播、網(wǎng)絡輿情危機、微博傳播與網(wǎng)絡輿情危機的關系,以及網(wǎng)絡預警預警的理論。第二步分析微博傳播下肉制品企業(yè)網(wǎng)絡輿情危機的概念內(nèi)涵、肉制品消費中存在的問題、以及肉制品企業(yè)網(wǎng)絡輿情危機的原因。第三步,構(gòu)建構(gòu)建肉制品企業(yè)在微博傳播環(huán)境的預警指標體系,把BP神經(jīng)網(wǎng)絡模型與指標體系相結(jié)合,構(gòu)建數(shù)量模型,進行微博環(huán)境下危機預警。第四步,用真實存在的XX肉制品企業(yè)應對瘦肉精事件的過程進行實證分析。第五步,提出微博傳播環(huán)境下,肉制品企業(yè)如何應對網(wǎng)絡的危機預警和處理,以及反思本模型的不足之處。 本文的創(chuàng)新點有兩個： 1.在前人研究基礎上,利用定量統(tǒng)計和定性分析相結(jié)合的方法,構(gòu)建了基于微博環(huán)境下肉制品生產(chǎn)企業(yè)網(wǎng)絡輿情危機的預警的指標體系,對網(wǎng)絡輿情危機預警指標體系探索進行了有意義的嘗試。 2.利用BP神經(jīng)網(wǎng)絡在肉制品生產(chǎn)企業(yè)網(wǎng)絡輿情危機預警指標體系的基礎上,構(gòu)建網(wǎng)絡輿情危機預警模型,將人工網(wǎng)絡模型運用到肉制品公司的網(wǎng)絡輿情領域,在應用范圍上有所創(chuàng)新,擴大了人工神經(jīng)網(wǎng)絡的利用范圍,進一步探索了農(nóng)業(yè)信息化在輿情監(jiān)控方面的研究思路。肉制品企業(yè)輿情預警是輿情監(jiān)測的“溫度計”“晴雨表”,對保障企業(yè)健康穩(wěn)定發(fā)展具有重要意義。本文就肉制品企業(yè)的危機預警做出了一定的指標體系研究、以及預警方法做出了有意思的探索,有一定的參考意義。
[Abstract]:Nowadays, the society is a highly developed society with digitization and information. It is becoming more and more common for people to transmit information through the network. China has more than 1.3 billion people, of whom 536 million registered Weibo accounts by the end of March 2013. Huge user group, convenient information communication mode, fast information dissemination speed, wide information influence. Weibo not only brings convenience and rapidity to people's information dissemination, but also brings opportunities for enterprises to spread negative information. Meat products are agricultural products which are closely related to the common people. Any information about the food safety of meat products will be spread through the Weibo will bring most of the public opinion to the enterprises. In order to help meat enterprises tide over difficulties in the process of network public opinion and rebuild a good public image, it is necessary for meat enterprises to make a warning system of network public opinion crisis for meat enterprises, to help related enterprises to find hot spots of public opinion. Make early warning and take measures. The research ideas of this paper can be divided into five major steps: the first step is to introduce the related concepts, define the Weibo communication, network public opinion crisis, the relationship between Weibo communication and network public opinion crisis, as well as the theory of network early warning. The second step is to analyze the concept connotation of the network public opinion crisis of meat products enterprises under the spread of Weibo, the problems existing in meat products consumption, and the reasons for the network public opinion crisis of meat products enterprises. The third step is to construct the early warning index system of meat products enterprise in Weibo environment, combine BP neural network model with index system, construct quantity model, and carry on crisis early warning under Weibo environment. The fourth step is to analyze the process of lean meatloin event with the real XX meat products enterprise. The fifth step, put forward how to deal with the network crisis early warning and management under the environment of Weibo communication, and reflect on the shortcomings of this model. There are two innovations in this paper: 1. On the basis of previous studies, the index system of network public opinion crisis in meat production enterprises based on Weibo is established by combining quantitative statistics and qualitative analysis. A meaningful attempt has been made to explore the early warning index system of network public opinion crisis. 2. On the basis of network public opinion crisis warning index system of meat production enterprise, BP neural network is used to construct network public opinion crisis early warning model, and artificial network model is applied to network public opinion field of meat company. The application scope is innovated, the application range of artificial neural network is expanded, and the research thinking of agricultural informatization in monitoring public opinion is further explored. The early warning of public opinion in meat enterprises is the thermometer and barometer of public opinion monitoring, which is of great significance to ensure the healthy and stable development of enterprises. This paper has made a certain index system research on the crisis early warning of meat products enterprise, and has made the interesting exploration as well as the early warning method, which has certain reference significance.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP183;F426.82;F272.3

【參考文獻】

相關期刊論文 前10條

1 曾智洪;;基于管理熵和管理耗散結(jié)構(gòu)理論的企業(yè)危機管理思考[J];華東經(jīng)濟管理;2010年02期

2 黃曉娟;劉北林;;食品安全風險預警指標體系設計研究[J];哈爾濱商業(yè)大學學報(自然科學版);2008年05期

3 盧建東;;試論傳播媒介形態(tài)變化及對新聞傳播的影響[J];石家莊聯(lián)合技術(shù)職業(yè)學院學術(shù)研究;2007年04期

4 魏景霞;;微博傳播特點的再思考[J];新聞界;2012年07期

5 王青;成穎;巢乃鵬;;網(wǎng)絡輿情監(jiān)測及預警指標體系構(gòu)建研究[J];圖書情報工作;2011年08期

6 胡玉平 ,王宇東;人工神經(jīng)網(wǎng)絡在電子商務中的應用[J];微型機與應用;2003年04期

7 楊淑娥;王樂平;;基于BP神經(jīng)網(wǎng)絡和面板數(shù)據(jù)的上市公司財務危機預警[J];系統(tǒng)工程理論與實踐;2007年02期

8 江衛(wèi)東;;基于AHP和BP神經(jīng)網(wǎng)絡的企業(yè)R&D人員勝任力評價[J];系統(tǒng)工程理論與實踐;2007年06期

9 汪利娟;李曉;;微博傳播中的輿論引導策略[J];新聞愛好者;2011年17期

10 宋敏堅;;基于BP神經(jīng)網(wǎng)絡模型的公司財務危機預警實證研究[J];現(xiàn)代商業(yè);2012年35期

相關博士學位論文 前1條

1 王戰(zhàn)平;網(wǎng)絡環(huán)境下的企業(yè)危機預警模型及應用研究[D];華中科技大學;2007年

，

本文編號：2049336