RETRACTED ARTICLE: The application of big data in the analysis of factors affecting agricultural business and product marketing in the intelligent agricultural platform

Yang, Yankun

doi:10.1080/09064710.2021.1890201

Cited by 4 publications

(5 citation statements)

References 24 publications

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“…Framework. Cluster analysis divides the sample data set to be analyzed into several different groups according to a certain principle, which makes the similarity of each data point in the group as large as possible and the similarity of sample data points between different groups as small as possible [14]. K-means algorithm is used in the process of cluster analysis.…”

Section: K-means Clustering Algorithm Recommendedmentioning

confidence: 99%

High-Concurrency Big Data Precision Marketing and Advertising Recommendation under 5G Wireless Communication Network Environment

Chen

2022

Journal of Sensors

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With the rise of 5G wireless communication networks, information technology has challenged the traditional practice of marketing. The impact of enterprise precision marketing theory on traditional marketing theory was brought by massive user data in the era of big data. With the sudden rise and rapid development of mobile Internet and its derived big data, in the fierce market competition of new media and we-media, how to provide accurate information push for users has become the primary subject of research. The design of advertising precision marketing system mainly uses 5G network as the basic tool and makes precise positioning of consumer demand through high-concurrency big data analysis system. K -means clustering algorithm improves the data analysis system to provide personalized demand customization and deeply excavates the segmentation of the consumer market and the real demand of consumers. The results show that the model effectively enhances its adaptability. When S value is between 0.01 and 0.05, the variable has a high significance, and precision marketing improves the accuracy of recommendation.

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Section: K-means Clustering Algorithm Recommendedmentioning

confidence: 99%

High-Concurrency Big Data Precision Marketing and Advertising Recommendation under 5G Wireless Communication Network Environment

Chen

2022

Journal of Sensors

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“…Mandal and Roy (2012) interpreted that the distributor acts as an intermediary to sell the producer's products to end users in the B2B distribution channel within the agricultural industry. According to Yang (2021), since the end customer receives introduction and recommendation of the product through the distributor, the product recommendation of the distributors and retailers play a very important role in selling the product. Based on these previous studies, this study designed the following hypothesis that the competitive factors of suppliers affect the product recommendation intention even in the pesticide industry: Hypothesis 6.…”

Section: Research Model and Hypothesis Developmentmentioning

confidence: 99%

Effects of Supplier’s Competitive Factors on Relationship Performance and Product Recommendation in Crop Protection Retail Sector

Ahn

Kim

2022

JRFM

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The changes in distribution channels of the crop protection industry are accelerating the influence of crop protection retailers on farmers’ product purchase decisions. This study aims to identify the critical competitive factors; ‘product quality’, ‘supply price’, ‘brand awareness’, ‘flexibility’, and ‘promotion support’; of crop protection manufacturers. And it empirically analyzes effects of the critical factors on relationship performance and product recommendation of crop protection retailers. This research also examined the difference among these major factors according to the level of trust of crop protection companies as suppliers. Survey data were collected from 660 retailers by the crop protection distribution market in South Korea. As for the results, the five factors were defined as the crop protection suppliers’ competitive factors. Supply price, promotion support, brand awareness, and flexibility had a positive (+) effect on relationship performance. Brand awareness, promotion support, product quality, and flexibility had a positive (+) effect on customer recommendation. However, product quality and supply prices each had a negative (−) effect on relationship performance and customer recommendation. Furthermore, supply price significantly affected relationship performance in a group with high trust, and promotion support significantly affected a group with low trust.

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“…In the operation system inside the model, the relevant expression formula of the output data of each layer is as follows: (1) . (6) rough the layer by layer transmission of data in the system, the output tensor of each layer is multiplied.…”

Section: Research On Time Series Data Missing Completion Algorithm Of...mentioning

confidence: 99%

“…Big data dynamic modeling technology now involves a wide range of fields, and its social applicability is very high. Because big data dynamic modeling technology belongs to mathematical modeling, the core content of this technology is also difficult (Yang Yankun et al, 2021) [1]. With the historical development of big data dynamic modeling technology, many researchers have also conducted in-depth research, development innovation, and various application experiments on modeling technology.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling of Influencing Factors and Change Trend of College Students' Mental Health Based on Big Data

2022

Scientific Programming

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With the great changes of social development environment and the lack of psychological preparation of many students, many college students have many psychological problems in the process of adapting to the environment. If the problem cannot be solved in time, it will seriously affect their future adaptation and mental health. In order to solve the psychological problems of college students, the networked dynamic model constructed by using big data modeling technology can realize the system functions required by users and model the model accordingly. The main research direction of this paper is to study the influencing factors and change trend of college students' mental health under the background of big data. In the network-oriented scenario, the missing value of the data is supplemented, and the sequence prediction technology is added to the data. Finally, by adding corresponding data samples to the improved big data dynamic model, the results of the addition completion method and data sequence prediction technology are analyzed.

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RETRACTED ARTICLE: The application of big data in the analysis of factors affecting agricultural business and product marketing in the intelligent agricultural platform

Cited by 4 publications

References 24 publications

High-Concurrency Big Data Precision Marketing and Advertising Recommendation under 5G Wireless Communication Network Environment

High-Concurrency Big Data Precision Marketing and Advertising Recommendation under 5G Wireless Communication Network Environment

Effects of Supplier’s Competitive Factors on Relationship Performance and Product Recommendation in Crop Protection Retail Sector

Dynamic Modeling of Influencing Factors and Change Trend of College Students' Mental Health Based on Big Data

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