Why do People Continue to Play Social Network Game (SNG)?

2013 ◽  
Vol 5 (4) ◽  
pp. 22-35 ◽  
Author(s):  
Tzu-Hong Lin ◽  
Hsi-Peng Lu ◽  
Huei-Hsia Hsu ◽  
San-San Hsing ◽  
Tai-Li Ho
Keyword(s):  
Social Network ◽  
Word Of Mouth ◽  
Social Perspective ◽  
Network Game ◽  
Determining Factors ◽  
Key Factor ◽  
Continuous Use ◽  
The Impact ◽  
Loyal Customers

This study proposes a model constructed by affection perspective (PA theory) and social perspective to examine the determining factors of social network game (SNG) players' intentions on word-of-mouth and continue. Total 276 subjects were conducted to test this model. The results demonstrate that interstate of arousal leads people to a higher level of continuing to use on SNG. Moreover, word-of-mouth had significant impact on continue to use, which showed that the impact of the dimension of continue to use on the word-of-mouth. It was found that sharing was a key factor on determining a player's intentions to word-of-mouth and continuous use on social network game. Through the increasing stickiness and word-of-mouth for SNG, the games providers could create the higher value from loyal customers. This paper contributes to an insight of the effects of players' intentions on word-of-mouth and continuance to use on SNG.

scholarly journals The Impact of South Korea Golf Resort Social Network Services Advertising and Online Word of Mouth on Consumer Brand Value

2020 ◽  
Vol 12 (11) ◽  
pp. 4339 ◽  
Author(s):  
Taesoo Cho ◽  
Taeyoung Cho ◽  
Guosong Zhao ◽  
Hao Zhang
Keyword(s):  
Social Network ◽  
South Korea ◽  
Word Of Mouth ◽  
Low Cost ◽  
Network Services ◽  
Online Word Of Mouth ◽  
Consumer Experiences ◽  
Social Network Services ◽  
The Impact ◽  
Positive Effect

Today, social network services (SNS) advertising is frequently utilized by enterprises to communicate with consumers as it provides the best marketing effect using low-cost media. Since the value of SNS is increasing, managers need to look for more effective methods of utilizing the existing SNS channels. This study aims to provide suggestions for attracting customers and gaining an advantage amid the stiff competition among similar golf courses. To achieve the goal of this study, a questionnaire-based survey was conducted at six golf resorts in South Korea where SNS advertising has been used to enhance consumer experiences. The study found that SNS advertising and online word of mouth regarding golf resorts have a positive effect on emotive, social, and price values. Moreover, SNS advertising for golf resorts had a positive effect on the quality function value, while online word of mouth had no effect.

scholarly journals HetInf: Social Influence Prediction With Heterogeneous Graph Neural Network

2022 ◽  
Vol 9 ◽  
Author(s):  
Liqun Gao ◽  
Haiyang Wang ◽  
Zhouran Zhang ◽  
Hongwu Zhuang ◽  
Bin Zhou
Keyword(s):  
Neural Network ◽  
Social Network ◽  
Social Influence ◽  
User Behavior ◽  
Online Advertising ◽  
Live Streaming ◽  
Network Applications ◽  
Key Factor ◽  
Study Designs ◽  
The Impact

With the continuous enrichment of social network applications, such as TikTok, Weibo, Twitter, and others, social media have become an indispensable part of our lives. Web users can participate in their favorite events or pay attention to people they like. The “heterogeneous” influence between events and users can be effectively modeled, and users’ potential future behaviors can be predicted, so as to facilitate applications such as recommendations and online advertising. For example, a user’s favorite live streaming host (user) recommends certain products (event), can we predict whether the user will buy these products in the future? The majority of studies are based on a homogeneous graph neural network to model the influence between users. However, these studies ignore the impact of events on users in reality. For instance, when users purchase commodities through live streaming channels, in addition to the factors of the host, the commodity is also a key factor that influences the behavior of users. This study designs an influence prediction model based on a heterogeneous neural network HetInf. Specifically, we first constructed the heterogeneous social influence network according to the relationship between event nodes and user nodes, then sampled the user heterogeneous subgraph for each user, extracted the relevant node features, and finally predicted the probability of user behavior through the heterogeneous neural network model. We conducted comprehensive experiments on two large social network datasets. Furthermore, the experimental results show that HetInf is significantly superior to the previous homogeneous neural network methods.

scholarly journals The Influence of Reputation on Consumer Purchasing Behavior

2021 ◽  
pp. 55-63
Author(s):  
Li-Wei Lin ◽  
Meng-yao Zhang ◽  
Yun-Han Zhang
Keyword(s):  
Social Network ◽  
Customer Service ◽  
Word Of Mouth ◽  
Purchase Behavior ◽  
Purchasing Behavior ◽  
Repurchase Intentions ◽  
Online Word Of Mouth ◽  
Timely Response ◽  
Behavioral Impact ◽  
The Impact

This study created a new model to explore the impact of social network word of mouth on the credibility of the website platform factors. This model contains three assumptions, including website trust, consumer repurchase, and timely response from website customer service. This structure has been discussed a lot in e-commerce literature. This hypothesis is explored through empirical research testing. The data of this study is a questionnaire survey of consumers on a platform of a case company. The data is collected from 100 consumers in 2014.The results show that the word-of-mouth information and online immediacy have a relevant influence and help on consumers' re-purchase behavior. At the same time, the results show that there is a good interaction between online word-of-mouth and online immediacy. The results of this study provide useful insights into how to enhance consumers' perception of online word-of-mouth messages and online immediacy in order to enhance the behavioral impact on consumers' repurchase intentions.

Measuring the Impact of Social Network Density on Performance

2007 ◽  
Author(s):  
Tracey E. Rizzuto ◽  
John Paul Hatala ◽  
Kara R. Jeansonne
Keyword(s):  
Social Network ◽  
Network Density ◽  
The Impact

Competition Policy under Economic Crisis

2009 ◽  
pp. 54-69 ◽  
Author(s):  
A. Shastitko ◽  
S. Avdasheva ◽  
S. Golovanova
Keyword(s):  
Division Of Labor ◽  
Economic Crisis ◽  
Industrial Policy ◽  
Competition Policy ◽  
Transition Economy ◽  
Economic Recession ◽  
Price Rigidity ◽  
Key Factor ◽  
Policy Measures ◽  
The Impact

The analysis of competition policy under economic crisis is motivated by the fact that competition is a key factor for the level of productivity. The latter, in its turn, influences the scope and length of economic recession. In many Russian markets buyers' gains decline because of the weakness of competition, since suppliers are reluctant to cut prices in spite of the decreasing demand. Data on prices in Russia and abroad in the second half of 2008 show asymmetric price rigidity. At least two questions are important under economic crisis: the 'division of labor' between pro-active and protective tools of competition policy and the impact of anti-crisis policy on competition. Protective competition policy is insufficient in transition economy, especially in the days of crisis it should be supplemented with the well-designed industrial policy measures which do not contradict the goals of competition. The preferable tools of anti-crisis policy are also those that do not restrain competition.

ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

2020 ◽  
pp. 113
Author(s):  
V. Kovpak ◽  
N. Trotsenko
Keyword(s):  
Social Network ◽  
Professional Training ◽  
Educational Process ◽  
Communication Strategy ◽  
Student Centered ◽  
Teacher Student ◽  
The Social ◽  
National University ◽  
High Level ◽  
The Impact

<div><p><em>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</em></p></div><p><em>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).</em></p><p><strong><em>Key words:</em></strong><em> nativeness, native advertising, branded content, special project, communication strategy.</em></p>

Designing a CRM Framework for online & offline sports footwear retailers

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Rodrigo Cueva ◽  
Guillem Rufian ◽  
Maria Gabriela Valdes
Keyword(s):  
Environmental Changes ◽  
Customer Relationship ◽  
Business Strategies ◽  
Economic Sectors ◽  
Running Shoes ◽  
Brick And Mortar ◽  
Key Factor ◽  
On Line ◽  
The Impact

The use of Customer Relationship Managers to foster customers loyalty has become one of the most common business strategies in the past years.  However, CRM solutions do not fill the abundance of happily ever-after relationships that business needs, and each client’s perception is different in the buying process.  Therefore, the experience must be precise, in order to extend the loyalty period of a customer as much as possible. One of the economic sectors in which CRM’s have improved this experience is retailing, where the personalized attention to the customer is a key factor.  However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term.  A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRMs into companies. Thanks to this approximation, the information is complemented, and the outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of service quality, from a consumer’s perspective, in both on-line and off-line retailing sector.  Secondly, we plan to go a step further and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for a specific retailing sector and its product: Sports Running Shoes.

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