IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v4y2010i3p253-269.html
   My bibliography  Save this article

The appealing characteristics of download type mobile games

Author

Listed:
  • Chang-Su Kim
  • Eun-Hai Oh
  • Kyung Yang
  • Jae Kim

Abstract

As the mobile game industry enjoys continual and rapid growth in the market and becomes a major sector of the service industry, it is of great interest to examine the very features that make mobile games so fascinating and keep its players coming for more. Pinpointing more precisely the very factors that increase the attraction of games will help game makers allocate corporate resources more efficiently. In addition, a more in depth analysis of the appealing characteristics enable game producers to establish an organized strategy in developing more advanced and technologically sophisticated mobile games, and to enhance their competitive advantage. In order to find these factors, we proposed a model, analyzed empirical data, and then interpreted the results. In this study, we examined the download type mobile game to find and compare factors that cause intent to play. The suggested model has three layers. The top layer is the intent to play mobile games. The second layer, the psychological perception layer, consists of two perceptive factors: perceived enjoyment, and perceived copresence. The third layer is a technological layer, used to classify the characteristics of the mobile games content into image, communication, and attractive characteristics, all of which have relationships with perceptive factors. The study shows some interesting results and we believe the conclusion and implications of this research will be useful for mobile game scholars and industry participants. Copyright Springer-Verlag 2010

Suggested Citation

  • Chang-Su Kim & Eun-Hai Oh & Kyung Yang & Jae Kim, 2010. "The appealing characteristics of download type mobile games," Service Business, Springer;Pan-Pacific Business Association, vol. 4(3), pages 253-269, December.
    • Handle: RePEc:spr:svcbiz:v:4:y:2010:i:3:p:253-269
    DOI: 10.1007/s11628-009-0088-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11628-009-0088-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11628-009-0088-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    4. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    7. Ronald E. Rice, 1992. "Task Analyzability, Use of New Media, and Effectiveness: A Multi-Site Exploration of Media Richness," Organization Science, INFORMS, vol. 3(4), pages 475-500, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jieun Kim & Yongtae Park & Chulhyun Kim & Hakyeon Lee, 2014. "Mobile application service networks: Apple’s App Store," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 1-27, March.
    2. Miikka J. Lehtonen & J. Tuomas Harviainen & Annakaisa Kultima, 2023. "How monetization mechanisms in mobile games influence consumers’ identity extensions," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 113-136, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han, Sang-Lin & An, Myounga & Han, Jerry J. & Lee, Jiyoung, 2020. "Telepresence, time distortion, and consumer traits of virtual reality shopping," Journal of Business Research, Elsevier, vol. 118(C), pages 311-320.
    2. Chen, Yi-Mu & Hsu, Tsuen-Ho & Lu, Yu-Jou, 2018. "Impact of flow on mobile shopping intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 281-287.
    3. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    4. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    5. Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    6. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    7. Christophe Bezes, 2009. "E-Commerce Website Evaluation: A Critical Review," Working Papers hal-00611008, HAL.
    8. Dickinger, Astrid & Stangl, Brigitte, 2013. "Website performance and behavioral consequences: A formative measurement approach," Journal of Business Research, Elsevier, vol. 66(6), pages 771-777.
    9. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    10. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    11. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    12. repec:dgr:rugsom:04f04 is not listed on IDEAS
    13. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    14. Hamed Taherdoost, 2021. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-03741844, HAL.
    15. Kawsar Ahmad & Arifuzzaman Arifuzzaman & Abdullah Al Mamun & Junayed Md Khaled Bin Oalid, 2021. "Impact of consumer’s security, benefits and usefulness towards cashless transaction within Malaysian university student," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 238-250, March.
    16. Youn Kang & Won Lee, 2015. "Self-customization of online service environments by users and its effect on their continuance intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(2), pages 321-342, June.
    17. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    18. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    19. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    20. Broekhuizen, Thijs L.J. & Jager, Wander, 2004. "A conceptual model of channel choice: measuring online and offline shopping value perceptions," Research Report 04F04, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    21. Pantano, Eleonora & Rese, Alexandra & Baier, Daniel, 2017. "Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 81-95.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:4:y:2010:i:3:p:253-269. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.