【摘要】：隨著互聯(lián)網(wǎng)的發(fā)展、大數(shù)據(jù)時(shí)代的到來,互聯(lián)網(wǎng)平臺上呈幾何級數(shù)增長的的信息量成為國內(nèi)外學(xué)者關(guān)注的焦點(diǎn),其中蘊(yùn)含著重要的價(jià)值,通過這巨大的信息量可以進(jìn)行相關(guān)的分析、決策�？梢詮膬H憑分析者的經(jīng)驗(yàn)、直覺、分析對象過去和現(xiàn)在的延續(xù)狀況及最新的信息資料的舊式的定性分析來推測客戶的偏好轉(zhuǎn)向現(xiàn)代定性分析,進(jìn)而通過定量分析統(tǒng)計(jì)數(shù)據(jù)、建立數(shù)學(xué)模型科學(xué)準(zhǔn)確的反映民眾的想法以便做出更有針對性的決策。本學(xué)位論文的研究目的就是通過對天貓手機(jī)商品的每月的相關(guān)銷售數(shù)據(jù)進(jìn)行分析后,得出影響其銷售量的因素及影響因素與其關(guān)聯(lián)程度的大小,從而為商家在激烈的競爭中如何抓住機(jī)遇吸引更多的顧客,提高網(wǎng)店銷售量給予一定的思路。除此之外,也為今后做類似影響因素分析及關(guān)聯(lián)程度大小提供一種新的思路、工具和方法——灰色關(guān)聯(lián)度。本文的研究思路是在大量閱讀相關(guān)文獻(xiàn)的基礎(chǔ)上,從定性分析和定量分析兩個(gè)方面入手,通過實(shí)證分析法解決銷量與價(jià)格、累計(jì)評價(jià)數(shù)、收藏商品(人氣)、好評率等是否存在相關(guān)關(guān)系以及它們與銷量的關(guān)聯(lián)程度大小排序的問題。首先,通過問卷調(diào)查的方法收集有關(guān)信息,并答卷結(jié)果進(jìn)行分析。在聽取有關(guān)專家意見的基礎(chǔ)上,初步形成定性分析的結(jié)論,即從人們熟知的在網(wǎng)購時(shí)所關(guān)注的商品或店鋪信息中找出了影響比較大的因素等一些信息。然后,在此基礎(chǔ)上,通過網(wǎng)絡(luò)爬蟲“集搜客”軟件對有關(guān)的數(shù)據(jù)抓取,通過SPSS Modeler軟件工具對數(shù)據(jù)進(jìn)行預(yù)處理后,利用灰色系統(tǒng)理論知識結(jié)合灰色關(guān)聯(lián)分析模型對有關(guān)影響因素進(jìn)行定量分析。在灰色關(guān)聯(lián)分析模型上的選取上,總結(jié)常見模型的優(yōu)點(diǎn)和不足之處,并進(jìn)行改進(jìn)完善,使用改進(jìn)后的模型進(jìn)行有關(guān)定量分析,最終計(jì)算出銷量與影響因素之間是否存在關(guān)聯(lián)及關(guān)聯(lián)程度的大小,初步得到定量分析的結(jié)論。最后,通過對所有定性、定量分析結(jié)論的綜合考慮,得出最終結(jié)論,并為提高網(wǎng)店銷售量給予一定的可行性建議,并為今后進(jìn)行類似分析提供了一種思路、方法。
[Abstract]:With the development of the Internet and the arrival of big data's era, the amount of information on the Internet platform has become the focus of attention of scholars at home and abroad, which contains important value. Through this huge amount of information can be related to analysis, decision-making. From the past qualitative analysis of the past and present status of the object and the latest information, we can speculate that the customer's preference can be changed to the modern qualitative analysis based on the experience and intuition of the analyst, and then through the quantitative analysis of the statistical data. Create mathematical models that scientifically and accurately reflect people's ideas in order to make more targeted decisions. The purpose of this dissertation is to analyze the monthly sales data of Tmall's mobile phone products, and to find out the factors that affect the sales volume and the degree of correlation between them. So how to seize the opportunity in the fierce competition to attract more customers and improve the sales of online stores to give some ideas. In addition, it also provides a new way of thinking, tools and methods for the analysis of similar influencing factors and the degree of correlation in the future. On the basis of reading a large number of related documents, this paper starts with qualitative analysis and quantitative analysis, and solves the problem of sales volume and price, accumulative evaluation number, collection of commodities (popularity) through empirical analysis. Whether there is a correlation between the acclaim rate and the degree of correlation between them and the sales volume. Firstly, the information is collected by questionnaire, and the results are analyzed. On the basis of listening to the relevant experts' opinions, the conclusion of qualitative analysis is preliminarily formed, that is to say, some information such as the factors which have a great influence on the information of goods or shops that people are familiar with when buying online are found out. Then, on this basis, through the web crawler "collection search" software to grab the relevant data, through the SPSS Modeler software tools to pre-process the data, The influence factors are quantitatively analyzed by using grey system theory and grey relational analysis model. In the selection of grey relational analysis model, the advantages and disadvantages of common models are summarized, and improved, using the improved model to carry out quantitative analysis. Finally, the relationship between the sales volume and the influencing factors is calculated and the degree of correlation is calculated, and the conclusion of quantitative analysis is obtained. Finally, through the comprehensive consideration of all the qualitative and quantitative conclusions, the final conclusion is drawn, and some feasible suggestions for increasing the sales volume of online stores are given, and a kind of thinking and method are provided for similar analysis in the future.
【學(xué)位授予單位】：云南財(cái)經(jīng)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F724.6;F274

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本文編號：2416175