scholarly journals Research on Selective Strategy of Enterprise Network Marketing Channel—Take Leaf Tableware as an Example

2020 ◽  
Vol 1621 ◽  
pp. 012032
Author(s):  
Mulan Ouyang ◽  
Yao Li
Author(s):  
Rizabuana Ismail ◽  
Slamet Haryono ◽  
Ira Maya Sofa Harahap ◽  
Ria Manurung

This article describes how fresh fruit bunches grown by oil palm smallholders are incorporated into oil palm marketing models in Indonesia. This emotional network marketing model is a supplementary model of marketing models in Malaysia which is called factory centered and middleman model. This research uses a descriptive qualitative method. The data was collected by conducted in-depth interviews with 28 informants coming from 4 (four) categories of oil palm smallholders: oil palm tauke (middleman) that included big tauke and small tauke, workers in the loading ramps, and workers in the oil palm factories who were involved in oil palm marketing channels. The result of the research showed that the oil palm marketing channel between smallholders and either small tauke and big tauke was based on an emotional network with a strong bond of friendship, brotherhood, dwelling location, cash payment, giving loan with reasonable requirements, and providing transportation for fresh fruit bunches. In contrast, oil palm marketing channel among smallholders, loading ramp buyers, and POF was based on regulations. This writing presented a different perspective of oil palm marketing channels in general by involving the emotional network of the existing actors for getting fresh fruit bunches and the advantages of oil palm marketing. In this marketing model, there is a longer marketing channel and actors with their varied roles.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ruyi Yang

As a brand-new marketing method, network marketing has gradually become one of the main ways and means for enterprises to improve profitability and competitiveness with its unique advantages. Using these marketing data to build a model can dig out useful information that the business is concerned about, and the company can then formulate marketing strategies based on this information. Sales forecasting is to speculate on the future based on historical sales. It is a tool for companies to determine production volume and ensure the balance of product supply and sales. It can help companies make correct business decisions to maximize profits. The neural network can approximate the nonlinear function with arbitrary precision, and the time series prediction model based on the neural network can well reflect the nonlinear development trend of information. Based on the analysis of the shortcomings of the traditional BP network, this paper uses a genetic algorithm with good global search capabilities to improve the neural network. The thought and theory of optimizing the initial weight and threshold of the neural network of the GA algorithm are discussed in detail. While expounding the forecasting method, it uses specific examples to analyze the performance and characteristics of the GA-BP network in the enterprise network marketing forecasting. The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.


2013 ◽  
Vol 411-414 ◽  
pp. 2271-2275 ◽  
Author(s):  
Ran Ni ◽  
Shi Ying Shi

This paper analyzes the effects of SEO on marketing website ranking. Then according to the SEO strategy, the paper gives the difference analysis of first cosmetics site and 100th site in Google, puts forward the adjustment and optimization strategy from the website structure, content and keyword, the chain etc. Finally the paper gives the overall planning and design for the enterprise network marketing.


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