Relationship between Perceived Ease of Use, Perceived Usefulness and Motivation Opportunity Ability Theory in Online Gamers Know-How Exchange

Bob Foster; Fitriani Reyta; Susan Purnama

doi:10.46336/ijbesd.v2i1.117

Relationship between Perceived Ease of Use, Perceived Usefulness and Motivation Opportunity Ability Theory in Online Gamers Know-How Exchange

Bob Foster, Fitriani Reyta, Susan Purnama

Abstract

Business needs to take advantage of Indonesian online gamers who are using online community to communicate and interact, when gamers share their reviews of game, for example, or when they post reviews of their purchases of virtual goods from online games. Using online community, gamers can do the trading with other members. The key is to share their experience with online games throughout the gamer’s journey.Players play an important role in the game market and have unique characteristics that respond differently to technology acceptance. In addition, a comprehensive review of the relevant literature on motivation for using Online Gamers Know-How Exchange shows that players are looking for recommendations from friends about the games they are interested in, through the social networking community and especially from their own communities.This paper analyzed the phenomenon of game-related industry involving motivation, opportunity, abilty and technology acceptance model in which organizations effectively raise the communication and know how above the gamers.Gamers from online community game taken as sample in Bandung City, West Java, Indonesia.Result shown that the two PEOU and PU were positively related to Online Gamers Know-How Exchange.

Keywords

Online Gamers, Know-How Exchange, Perceived ease of Use, MOA, Perceived Usefulness

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References

Adams, Ernest (2013). Fundamentals of Game Design (3rd ed.). San Francisco: New Riders. ISBN 0-321-92967-5..

Ajzen, I., &Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Ang, S., Van Dyne, L., Koh, C., Ng, K. Y., Templer, K. J., Tay, C., &Chandrasekar, N. A. (2007). Cultural intelligence: Its measurement and effects on cultural judgment and decision making, cultural adaptation and task performance. Management and organization review, 3(3), 335-371.

Briliana, V., Wahid, N. A., and Fernando, Y. (2015).The effect of motivation, opportunity, ability and social identity towards customer-to-customer online know-how exchange.Advanced Science Letters, 21(4), 819–822. http://doi.org/10.1166/asl.2015.5887

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Chin, W., and Newsted, P. (1999). Structural equation modeling analysis with small samples using partial

Gefen, D., Straub, D., and Boudreau, M.-C. (2000). Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice. Communications of AIS, 4(Article 7), 79.

Gruen, T. W. (2005). How e-communities extend the concept of exchange in marketing: An application of the motivation, opportunity, ability (MOA) theory. Marketing Theory, 5(1), 33–49. http://doi.org/10.1177/1470593105049600

Gruen, T. W., Osmonbekov, T., and Czaplewski, A. J. (2006).eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449–456. http://doi.org/10.1016/j.jbusres.2005.10.004

Gruen, T. W., Osmonbekov, T., and Czaplewski, A. J. (2007). Customer-to-customer exchange : Its MOA antecedents and its impact on value creation and loyalty, 537–549. http://doi.org/10.1007/s11747-006-0012-2

Hanson, W. E., Creswell, J. W., Clark, V. L. P., Petska, K. S., &

Creswell, J. D. (2005). Mixed methods research designs in counseling psychology. Journal of counseling psychology, 52(2), 224.

Herrewijn, L., and Poels, K. (2013). Putting brands into play: How game difficulty and player experiences influence the effectiveness of in-game advertising. International Journal of Advertising, 32(1), 17-44.

Koo, D. M. (2009).The moderating role of locus of control on the links between experiential motives and intention to play online games. Computers in Human Behavior, 25(2), 466-474.

Liang, T. P., &Yeh, Y. H. (2011). Effect of use contexts on the continuous use of mobile services: the case of mobile games. Personal and Ubiquitous Computing, 15(2), 187-196.

Lin, D., & Morris, R. (1997).Dynamics of random early detection.In ACM SIGCOMM Computer Communication Review (Vol. 27, No. 4, pp. 127-137).ACM.

Lu, H. P., and Wang, S. M. (2008). The role of Internet addiction in online game loyalty: an exploratory study. Internet Research, 18(5), 499-519.

MacInnis, D. J., Moorman, C., and Jaworski, B. J. (1991). Enhancing and Measuring Consumers’ Motivation , Opportunity , and Ability to Process Brand Information From Ads. Journal of Marketing, 55(4), 32–53. http://doi.org/10.2307/1251955

Mooi, E., and Sarstedt, M. (2011).A Concise Guide to Market Research.Analysis (Vol. 2). http://doi.org/10.1007/978-3-642-12541-6

Newzoo.(2017). 2017 Global Games Market Report.

Nonaka, I., & Takeuchi, H. (1995). The knowledge creation company: how Japanese companies create the dynamics of innovation.

Nulty, D. D. (2008). The adequacy of response rates to online and paper surveys: what can be done?.Assessment & evaluation in higher education, 33(3), 301-314.

Pinho, J. C. M. R., and Soares, A. M. (2011).Examining the technology acceptance model in the adoption of social networks. Journal of Research in Interactive Marketing, 5, 116–129. http://doi.org/10.1108/17505931111187767

Rothschild, M. L. (1999). Carrots, sticks, and promises: A conceptual framework for the management of public health and social issue behaviors. The Journal of Marketing, 24-37.

Shen, Y. C., Mueller, G. O., Watanabe, S., Gardner, N. F., Munkholm, A., &Krames, M. R. (2007). Auger recombination in InGaN measured by photoluminescence. Applied Physics Letters, 91(14), 141101.

Siemsen, E., Roth, A., & Oliveira, P. (2010). Common method bias in regression models with linear, quadratic, and interaction effects. Organizational research methods, 13(3), 456-476.

Tajfel, H. (1974). Social identity and intergroup behaviour. Information (International Social Science Council), 13(2), 65-93.

Tajfel, H. (1977). Social-Psychology And Social-Reality. New Society, 39(756), 653-654.

Wang, W. X., Lü, J., Chen, G., & Hui, P. M. (2008). Phase transition and hysteresis loop in structured games with global updating. Physical Review E, 77(4), 046109.

APJII.(2016). StatistikPengguna and PerilakuPengguna Internet Indonesia. Retrieved from http://www.apjii.or.id/survei November 27th 2016 , 03.31 PM

eSport Earnings. (2017) Retrieved from https://www.esportsearnings.com/tournaments/23157-indonesia-games-championship 2017, July 25th , 02.15PM

Indonesia-investment (2017). Indonesia Is The World Fastest Growing Mobile Commerce Market. Retrieved from https://www.indonesia-investments.com/business/business-columns/indonesia-is-the-world-s-fastest-growing-mobile-commerce-market/item7802 July 25th, 02.17 PM

Leng, Lee Kah. The International 2017 to offer the highest ever prize money in eSports history. Retrieved from http://www.thestar.com.my/tech/tech-news/2017/07/14/the-international-2017-to-offer-the-largest-prize-in-esports-history/ 2017, 14th July 03.20 PM

Newzoo. (2017). The Global Games Market Will Reach $108.9 billion in 2017. Retrieved from https://newzoo.com/insights/articles/the-global-games-market-will-reach-108-9-billion-in-2017-with-mobile-taking-42/ 2017, April 30th, 11.53 PM.

DOI: https://doi.org/10.46336/ijbesd.v2i1.117