WHY GAME PLAYERS PURCHASE LUXURY ITEMS IN ONLINE GAME? - FOCUSING UPON LUXURY SKIN IN LEAGUE OF LEGENDS

2015 ◽  
Vol 6 (3) ◽  
pp. 877-877
Author(s):  
Sang Jin Kim ◽  
◽  
Kyong Ryul Koo ◽  
Honglei Liu ◽  
Kyung Hoon Kim
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wei-Lun Chang ◽  
Li-Ming Chen ◽  
Yen-Hao Hsieh

PurposeThis research examined the social interactions of online game players based on the proposed motivation model in order to understand the transitions of motivation of online game. The authors also separated samples into four categories to compare the difference of different type of online game players.Design/methodology/approachThis study proposed a motivation model for online game player based on existence–relatedness–growth theory. The authors also analyze the transitions of motivations via first-order and second-order Markov chain switching model to obtain the journey of online to offline socialization.FindingsTeamwork–socialization players preferred to make friends in their online gaming network to socialize. Competition–socialization players were mostly students who played games to compete and socialize and may share experience in online or offline activities. Teamwork–mechanics players purely derived pleasure from gaming and were not motivated by other factors in their gaming activities. Competition–mechanics players may already have friends with other gamers in real life.Research limitations/implicationsMore samples can be added to generate more generalizable findings and the proposed motivation model can be extended by other motivations related to online gaming behavior. The authors proposed a motivation model for online to offline socialization and separated online game players into four categories: teamwork–socialization, competition–socialization, teamwork–mechanics and competition–mechanics. The category of teamwork–socialization may contribute to online to offline socialization area. The category of competition–mechanics may add value to the area of traditional offline socialization. The categories of competition–socialization and teamwork–mechanics may help extant literature understand critical stimulus for online gaming behavior.Practical implicationsThe authors’ findings can help online gaming industry understand the motivation journey of players through transition. Different types of online games may have various online game player's journey that can assist companies in improving the quality of online games. Online game companies can also offer official community to players for further interaction and experience exchange or the platform for offline activities in the physical environment.Originality/valueThis research proposed a novel motivation model to examine online to offline socializing behavior for online game research. The motivations in model were interconnected via the support of literature. The authors also integrated motivations by Markov chain switching model to obtain the transitions of motivational status. It is also the first attempt to analyze first-order and second-order Markov chain switching model for analysis. The authors’ research examined the interconnected relationships among motivations in addition to the influential factors to online gaming behavior from previous research. The results may contribute to extend the understanding of online to offline socialization in online gaming literature.


2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Bonit Bogonondo ◽  
Yessy Artanti

This paper examines the effects of brand placement and player involvement on brand awareness. The data in this study were collected from questionnaires distributed to 150 game players of online game with snowball sampling. Data analysis used multiple regression  analysis. However, our prediction that there were effect of brand placement and player involvement on brand awareness was not supported. We presents the discussions in this paper.


Author(s):  
Jengchung V. Chen ◽  
Yu-Hsiang Wang

Since the Internet and other IT technologies have become more popular than ever before, the amount of time people spend with computers and IT products, such as Internet and online games, has increased tremendously. The continuing boom of information and communication technology is causing the Internet to become a part of everyone’s life. People use the Internet not only as a tool for their jobs, but also to participate in virtual communities. Even if the rate of Internet uptake slows considerably (Weisenbacher, 2002), the trend still remains growing. There were 275.5 million people using the Internet in February 2000. That number had changed to 605.60 million in September 2002 (Nua Ltd., 2002). According to Horrigan’s study (2001), 84 percent of Internet users in America have participated in a virtual community. Moreover, apart from the number of people using Internet, the average time spent doing any activity online is increasing.


Author(s):  
Christine Cook ◽  
Rianne Conijn ◽  
Juliette Schaafsma ◽  
Marjolijn Antheunis

Abstract The present study aimed to expand our understanding of trolling interactions by examining 10,025 community-reported trolling incidents in the online game League of Legends to determine what characterizes messages sent by trolls, their teammates, and their opponents. To do this, we used a novel method blending content analysis and topic modelling. Contrary to extant literature, our study of complete trolling interactions found striking similarities between teammates’ and trolls’ chats, with both displaying the negative traits (e.g., exclusionary language) typically attributed to trolls. Findings also suggest that the transition from victim to perpetrator can occur extremely rapidly. This has important implications for the labelling of actors in trolling interactions, for future studies into the trolling cycle, and for theories of computer-mediated communication.


2017 ◽  
Vol 5 (2) ◽  
pp. 136
Author(s):  
Ami Saptiyono

AbstractOnline media is media that provides a variety of facilities and services for people in activities and meet their needs. This media allows everyone to do various  activities such as browsing , blogging , chat , update your status, upload and download data, and even play games . In this article , the researcher discuss how an online game players do face work in the activities of online gaming , especially in the game "Super Armada" , through autoethnography methods , as a method of doing descriptions experience of researcher in this online game , using face work theory as reference in researchKey words: Face work, Autoethnography, Media online.


2005 ◽  
Vol 8 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Shao-Kang Lo ◽  
Chih-Chien Wang ◽  
Wenchang Fang

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