The Effects of Consumer Characteristics on Information Searching Behavior in Wireless Mobile SNS: Using SEM Analysis

Jiang, Hong; Li, Guozhong; Park, Seong Taek; Zhu, Jun

doi:10.1007/s11277-016-3523-2

Cited by 6 publications

(4 citation statements)

References 44 publications

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“…In the past year, major retailers have been hit by the e-commerce industry, and the performance of traditional retailers, which are mainly based on physical store operations, has dropped significantly. However, when the entire retail industry is in negative growth, Wal-Mart can stand out in the fast-growing environment of the Internet, showing that its business strategy does have merit [4,5]. Therefore, this paper will mainly analyze how Wal-Mart responds to the enormous challenges brought by the Internet environment, and provides some inspiration for how traditional retailers affected by the Internet can adjust their marketing strategies.…”

Section: Introductionmentioning

confidence: 99%

Research on Marketing Strategy of Traditional Retailers under the Background of Internet - A Case Study of Wal-Mart

Jiang¹,

Wang²,

Park³

et al. 2018

Ijemr

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Background/Objectives: With the rapid development of e-commerce in China, the performance of retail companies that used to operate physical stores was significantly affected. Many companies began to seek transformation, but the results were minimal. Wal-Mart, once a giant in the traditional retail industry, has also been hit by the Internet, showing a decline in performance and closure of a large number of stores. In order to cope with the impact of the Internet, Wal-Mart has implemented a series of marketing strategies in the Chinese market in the past two years and achieved remarkable results, attracting widespread attention from the industry. Methods/Statistical analysis: The offline marketing experience of the employees of traditional retail enterprises is very rich, but the middle and high managers are generally too old, lack knowledge of the Internet, and are oldfashioned and conservative. Enterprises should pay attention to the management of network channels, ensure the consistency of online and offline products in terms of product quality, provide the same quality after-sales service for online and offline products, and provide products of the same quality at a more affordable price. Findings: With the popularity of mobile Internet, online shopping has become more convenient, which has also promoted the rapid development of mobile payment and logistics industry. As the related industries of ecommerce become more and more perfect, the scale effect becomes more and more obvious, and online retail has an unstoppable momentum. Improvements/Applications: Therefore, this article will focus on the marketing strategy of Wal-Mart in China under the background of the Internet, summarize the experience of how physical retailers responds to e-commerce shocks, and provide practical implications for the transformation of traditional retailers.

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Section: Introductionmentioning

confidence: 99%

Research on Marketing Strategy of Traditional Retailers under the Background of Internet - A Case Study of Wal-Mart

Jiang¹,

Wang²,

Park³

et al. 2018

Ijemr

Self Cite

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“…The subset of traditional investment risk assessment is excessively dependent on financial indicator factors, and quantitative factors account for too much. For the new enterprise financing investment risk subset, we need to optimize and perfect the traditional subset [ 6 ]. The selection of risk factors for financing investment of enterprises should be more dynamic and complicated, and should also be integrated into the characteristics of enterprises themselves [ 7 ].…”

Section: Evaluation Of Risk Factor Of Financing Investmentmentioning

confidence: 99%

Analysis on Behavior Characteristics of Enterprise Financing Investment Risk Data

Ren

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The existing technical means cannot effectively determine the negative impact of horizontal and vertical data behavioral risk on the return of enterprise financing investment. In order to solve this problem, the behavior characteristics of enterprise financing investment risk data were analyzed. Through determining the subset of risk factors and selecting the redundancy degree of SMT (Securities Margin Trading) index, the risk coefficient evaluation of financing investment was completed. On this basis, through the calculation of investment risk data time expenditure behavior and space expenditure behavior, determine the constraints between various data behavior characteristics, complete the enterprise financing investment risk data behavior characteristics analysis. The results show that the negative influence of horizontal and vertical data behavioral risk on enterprise financing investment is effectively restrained after applying the new investment risk behavior analysis method.

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“…Digital transformation increasingly gains broad attentions from all the world [1,2]. Diffusion of smart devices, explosive growth of SNSs, increased speed of mobile network, alongside with the rapid development of ICT, all allow provision and use of many services on smart (mobile) devices, which have been provided in the wired network environment [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spicy Incense Pot Production Plan

Hong¹,

Miao²

2018

Ijemr

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Background/Objectives: 2012, Spicy incense pot was stationed in the four dining halls of Jiangxi Normal University. Because of its delicious taste, it was deeply loved by students from Jiangxi Normal University. However, in the past two or three years, the other four of the five canteens of Jiangxi Normal University have also had different incense pots and have taken various forms to compete for customers. The competition of incense pots is becoming increasingly fierce. As an experienced old-fashioned incense pot brand, spicy pot is particularly important to enhance its competitiveness through effective management. Methods/Statistical analysis: During the discussion and analysis of the survey data, we found that the average time for customers who ate in the cafeteria to choose ingredients was about 4 minutes, and the time was even 6-7 minutes. Findings: Based on the results of the survey, we found that about 64% of customers who are dining in the cafeteria or customers who want to take out the goods are willing to try to pair with a good food package. This can avoid the hardship of the selection process for customers who choose food more difficult. For the store, you can prepare the mix of each package directly in advance, reducing the time-consuming and laborious process of taking the cash, and improving the efficiency and quality of the service for the customers who eat at the scene. Improvements/Applications: In-depth analysis of the various aspects of the spicy incense pot and find the reasons for the long link. Suggested improvements for the efficiency of the spicy incense pot. This article hopes to provide ideas for the optimization of the operation of spicy hot pot.

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The Effects of Consumer Characteristics on Information Searching Behavior in Wireless Mobile SNS: Using SEM Analysis

Cited by 6 publications

References 44 publications

Research on Marketing Strategy of Traditional Retailers under the Background of Internet - A Case Study of Wal-Mart

Research on Marketing Strategy of Traditional Retailers under the Background of Internet - A Case Study of Wal-Mart

Analysis on Behavior Characteristics of Enterprise Financing Investment Risk Data

Analysis of Spicy Incense Pot Production Plan

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