對(duì)湖南省電信業(yè)經(jīng)營(yíng)工作評(píng)分模型的研究
本文選題:湖南省電信業(yè) + 經(jīng)營(yíng)工作評(píng)分模型; 參考:《浙江工商大學(xué)》2017年碩士論文
【摘要】:近年來由于市場(chǎng)競(jìng)爭(zhēng)的日益激烈,迫使國(guó)內(nèi)三大運(yùn)營(yíng)商紛紛采取有力措施來開拓自己的市場(chǎng),推出各種優(yōu)惠政策吸引更多的客戶。然而客戶數(shù)目是一定的,當(dāng)有限的客戶份額被三大運(yùn)營(yíng)商爭(zhēng)奪完畢后,如何能使企業(yè)在激烈的市場(chǎng)競(jìng)爭(zhēng)中,保持企業(yè)持續(xù)的收益,成為了三大電信運(yùn)營(yíng)商需要關(guān)注的重點(diǎn),F(xiàn)有研究均從流失角度出發(fā),采用流失用戶模型來分析用戶流失率。本文通過對(duì)湖南省電信業(yè)目前采用的一套評(píng)價(jià)收入異動(dòng)的指標(biāo)體系,采用相關(guān)分析、多元回歸分析篩選指標(biāo),建立一套評(píng)價(jià)經(jīng)營(yíng)工作效果的指標(biāo)體系;同時(shí)挖掘湖南省電信企業(yè)1000多萬(wàn)的用戶賬單數(shù)據(jù),對(duì)用戶按地市進(jìn)行匯總,按區(qū)域進(jìn)行匯總,對(duì)《經(jīng)營(yíng)工作評(píng)價(jià)指標(biāo)體系》的指標(biāo)進(jìn)行差值計(jì)算與環(huán)比值計(jì)算后再進(jìn)行數(shù)據(jù)歸一化處理。其次,采用層次分析法,通過對(duì)湖南省電信企業(yè)市場(chǎng)業(yè)務(wù)部人員進(jìn)行問卷調(diào)查來確定各個(gè)指標(biāo)的權(quán)重大小,進(jìn)而構(gòu)建了經(jīng)營(yíng)工作效果評(píng)分模型。最后通過模型對(duì)湖南省電信經(jīng)營(yíng)工作效果進(jìn)行實(shí)證分析。另外從核心平臺(tái)收入波動(dòng)變化的角度,對(duì)經(jīng)營(yíng)工作評(píng)分模型進(jìn)行效果分析。通過對(duì)湖南省進(jìn)行實(shí)證分析,經(jīng)營(yíng)工作效果評(píng)分模型能幫助管理和分析人員快速了解經(jīng)營(yíng)工作的效果以及對(duì)評(píng)分較差的工作進(jìn)行管控和調(diào)節(jié),進(jìn)而開展措施提升企業(yè)工作效率,增加企業(yè)收入。
[Abstract]:In recent years, due to the increasingly fierce market competition, three domestic operators are forced to take effective measures to open up their own markets, introducing various preferential policies to attract more customers. However, the number of customers is certain. When the limited customer share is competed by the three major operators, how to make the enterprise in the fierce market competition, how to maintain the enterprise's sustained income has become the focus of attention of the three telecom operators. From the point of loss, the current research uses the lost user model to analyze the wastage rate. This paper sets up a set of index system to evaluate the effect of operation by means of correlation analysis and multivariate regression analysis. At the same time, it excavates more than 10 million user bill data of Hunan telecom enterprises, aggregates the users according to prefectures and cities, and aggregates users by region. The difference value and ring value of the index system of operational evaluation are calculated, and then the data normalization is carried out. Secondly, by using the analytic hierarchy process (AHP), a questionnaire survey is carried out to determine the weight of each index, and then the operational effect scoring model is constructed. Finally, the model is used to analyze the effect of telecom operation in Hunan Province. In addition, from the point of view of income fluctuation of the core platform, the effect of the work score model is analyzed. Through the empirical analysis of Hunan Province, the operation effect scoring model can help management and analysts to quickly understand the effect of management and management, and to control and regulate the work with poor scores, and then carry out measures to improve the efficiency of enterprises. Increase the income of enterprises.
【學(xué)位授予單位】:浙江工商大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F626
【參考文獻(xiàn)】
相關(guān)期刊論文 前8條
1 黃瑛;;電信行業(yè)不同目標(biāo)群成長(zhǎng)期客戶忠誠(chéng)度影響因素分析[J];中國(guó)市場(chǎng);2016年35期
2 謝海英;黃淑偉;;大數(shù)據(jù)背景下精準(zhǔn)營(yíng)銷研究[J];信息與電腦(理論版);2014年10期
3 譚歷楊;;淺談電信企業(yè)收入內(nèi)部控制的實(shí)施[J];現(xiàn)代經(jīng)濟(jì)信息;2011年22期
4 胡玉柱;張若如;許敏;;基于熵值法模型的高新技術(shù)上市公司經(jīng)營(yíng)業(yè)績(jī)?cè)u(píng)價(jià)實(shí)證研究[J];財(cái)會(huì)通訊(學(xué)術(shù)版);2008年10期
5 賀仁龍;邱晨旭;;電信運(yùn)營(yíng)商開展收入保障的方案與策略研究[J];電信科學(xué);2008年04期
6 崔云松;伍海華;;對(duì)鋼鐵業(yè)上市公司經(jīng)營(yíng)績(jī)效的灰色關(guān)聯(lián)度分析[J];時(shí)代金融;2008年01期
7 盛昭瀚,柳炳祥;客戶流失危機(jī)分析的決策樹方法[J];管理科學(xué)學(xué)報(bào);2005年02期
8 朱浩剛,孫煜鷗,戴偉輝;基于數(shù)據(jù)挖掘的移動(dòng)通訊業(yè)客戶流失管理[J];計(jì)算機(jī)工程與應(yīng)用;2004年01期
,本文編號(hào):1844568
本文鏈接:http://sikaile.net/guanlilunwen/sjfx/1844568.html