Skip to main content
Log in

Effect of use contexts on the continuous use of mobile services: the case of mobile games

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

As mobile services become more popular and people can use them virtually anywhere, research on the effect of use contexts is gaining more attention. This research presents results from a study of continuous use of mobile services in different use contexts as defined by task and consumption place. Using mobile games as an example, the authors proposed a research model that augments current technology adoption theories to fit the hedonic nature of mobile games. The results from conducting an online survey indicate that contextual factors have significant moderating effect on the intention to play mobile games. The diverse lifestyles of users also have different attitudes and concerns regarding using mobile services. The findings suggest that service providers need to take into account the impact of use contexts and the needs of specific users when they design mobile services.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  2. Baber C, Westmancott O (2004) Social networks and mobile games: the use of bluetooth for a multiplayer card game. MobileHCI2004, pp 98–107

  3. Barnard L, Yi JS, Jacko JA, Sears A (2007) Capturing the effects of context on human performance in mobile computing systems. Pers Ubiquitous Comput 11:81–96

    Article  Google Scholar 

  4. Barnes SJ (2002) The mobile commerce value chain: analysis and future developments. Int J Inf Manag 22:91–108

    Google Scholar 

  5. Belk RW (1974) An exploratory assessment of situational effects in buyer behavior. J Mark Res 11(2):156–163

    Article  Google Scholar 

  6. Chen LD (2008) A model of consumer acceptance of mobile payment. Int J Mobile Commun 6(1):32–52

    Article  Google Scholar 

  7. Choi J, Seol H, Lee S, Cho H, Park Y (2008) Customer satisfaction factors of mobile commerce in Korea. Internet Res 18(3):313–335

    Article  Google Scholar 

  8. Csikzentmihalyi M (1990) Flow, the psychology of optimal experience. Harper & Row, New York

    Google Scholar 

  9. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  10. Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8):982–1003

    Article  Google Scholar 

  11. Dey AK, Abowd GD, Salber D (2001) A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum-Comput Interact 16:97–166

    Article  Google Scholar 

  12. Fang X, Chan S, Brzezinski J, Xu S (2005–2006) Moderating effects of task type on wireless technology acceptance. J Manag Inf Syst 22(3):123–157

    Google Scholar 

  13. Fishbein M, Ajzen I (1975) Belief, attitude, intentions and behavior: an introduction to theory and research. Addison-Wesley, MA

    Google Scholar 

  14. Gebauer J, Shaw MJ (2004) Success factors and impacts of mobile business applications: results from a mobile e-procurement study. Int J Electron Commun 8(3):19–42

    Google Scholar 

  15. Ha I, Yoon YS, Choi MK (2007) Determinants of adoption of mobile games under mobile broadband wireless access environment. Inf Manag-Amst 44(3):276–286

    Article  Google Scholar 

  16. Hansen F (1972) Consumer choice behavior: a cognitive theory. Free Press, New York

    Google Scholar 

  17. Herzberg A (2003) Payments and banking with mobile personal devices. Commun ACM 46(5):53–58

    Article  Google Scholar 

  18. Jaeger SR, Rose JM (2008) Stated choice experimentation, contextual influences and food choice: a case study. Food Qual Prefer 19:539–564

    Article  Google Scholar 

  19. Jung Y, Perez-Mira B, Wiley-Patton S (2009) Consumer adoption of mobile TV: examining psychological flow and media content. Comput Hum Behav 25(1):123–129

    Article  Google Scholar 

  20. Kurkovsky S, Zanev V, Kurkovsky A (2005) SMMART: using context-awareness in m-commerce. MobileHCT2005, pp 383–384

  21. Lee YE, Benbasat I (2003) Interface design for mobile commerce. Commun ACM 46(12):49–52

    Article  Google Scholar 

  22. Lee YE, Benbasat I (2004) A framework for the study of customer interface design for mobile commerce. Int J Electron Commun 8(3):79–102

    Google Scholar 

  23. Liang TP, Huang ZW, Yeh YH, Lin B (2007) Adoption of mobile technology in business: a fit-viability model. Ind Manag Data Syst 107(8):1154–1169

    Article  Google Scholar 

  24. Lin YL, Liang TP, Ho SC, Yeh YH (2007) The impact of situation influences on the intention to use mobile value-added services. Paper presented at the 6th workshop on e-business (WeB2007), Montreal, Quebec, 9 December 2007

  25. Lin YM, Shih DH (2008) Deconstructing mobile commerce service with continuance intention. Int J Mobile Commun 6(1):67–87

    Article  Google Scholar 

  26. Lopez-Nicolas C, Molina-Castillo FJ, Bouwman H (2008) An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models. Inf Manag-Amst 45:359–364

    Article  Google Scholar 

  27. Luley PM, Paletta L, Almer A (2005) Visual object detection from mobile phone imagery for context awareness. MobileHCT2005, pp 385–386

  28. Maamar Z (2003) Virtual extension: commerce, e-commerce, and m-commerce: what comes next? Commun ACM 46(12):251–257

    Article  Google Scholar 

  29. Mallat N (2007) Exploring consumer adoption of mobile payments—a qualitative study. J Strateg Inf Syst 16:413–432

    Google Scholar 

  30. Mallat N, Rossi M, Tuunainen VK, Oorni A (2008) An empirical investigation of mobile ticketing service adoption in public transportation. Pers Ubiquitous Comput 12:57–65

    Article  Google Scholar 

  31. Mallat N, Rossi M, Tuunainen VK, Oorni A (2009) The impact of use context on mobile service acceptance: the case of mobile ticketing. Inf Manag 46:190–195

    Article  Google Scholar 

  32. Matskin M, Tveit A (2001) Mobile commerce agents in WAP-based services. J Database Manag 12(3):27–35

    Google Scholar 

  33. Moon JW, Kim YG (2001) Extending the TAM for a world-wide-web context. Inf Manag-Amst 38:217–230

    Article  Google Scholar 

  34. Morales-Aranda AH, Mayora-Ibarra O, Negrete-Yankelevich S (2004) M-modeler: a framework implementation for modeling m-commerce applications. Paper presented at the 6th international conference on electronic commerce, pp 596–602

  35. Ngai EWT, Cheng TCE, Au S, Lai KH (2007) Mobile commerce integrated with RFID technology in a container depot. Decis Support Syst 43:62–76

    Article  Google Scholar 

  36. Nordqvist S, Hovmark S, Zika-Viktorsson A (2004) Perceived time pressure and social processes in project teams. Int J Proj Manag 22:463–468

    Article  Google Scholar 

  37. Okazaki S (2005) Mobile advertising adoption by multinationals senior executives’ initial responses. Internet Res 15(2):160–180

    Article  MathSciNet  Google Scholar 

  38. Park CW, Iyer ES, Smith DC (1989) The effects of situational factors on in-store grocery shopping behavior: the role of store environment and time available for shopping. J Consum Res 15(4):422–433

    Article  Google Scholar 

  39. Peffers K, Tuunanen T (2005) Planning for IS applications: a practical, information theoretical method and case study in mobile financial services. Inf Manag-Amst 42:483–501

    Article  Google Scholar 

  40. Schmitt BH, Shultz CJ (1995) Situational effects on brand preferences for image products. Psychol Mark 12(5):433–446

    Article  Google Scholar 

  41. Schwabe G, Göth C (2005) Mobile learning with a mobile game: design and motivational effects. J Comput Assist Learn 21:204–216

    Article  Google Scholar 

  42. Shin DH (2009) Towards an understanding of the consumer acceptance of mobile wallet. Comput Hum Behav 25:1343–1354

    Article  Google Scholar 

  43. Slack F, Rowley J (2002) Online kiosks: the alternative to mobile technologies for mobile users. Internet Res 12(3):248–257

    Article  Google Scholar 

  44. Tamminen S, Oulasvirta A, Toiskallio K, Kankainen S (2004) Understanding mobile contexts. Pers Ubiquitous Comput 8:135–143

    Article  Google Scholar 

  45. Tewari G, Youll J, Maes P (2002) Personalized location-based brokering using an agent-based intermediary architecture. Decis Support Syst 34:127–137

    Article  Google Scholar 

  46. Topi H, Valacich JS, Hoffer JA (2005) The effects of task complexity and time availability limitations on human performance in database query tasks. Int J Hum-Comput Stud 62:349–379

    Article  Google Scholar 

  47. Tsang M, Ho SH, Liang TP (2004) Consumer attitudes toward mobile advertising: an empirical study. Int J Electron Commun 8(3):65–78

    Google Scholar 

  48. Van der Heijden H (2004) User acceptance of hedonic information systems. MIS Q 28(4):695–704

    Google Scholar 

  49. Varchney U, Vetter R (2002) Mobile commerce: framework, applications and networking support. Mobile Netw Appl 7:185–198

    Article  Google Scholar 

  50. Verkasalo H (2009) Contextual patterns in mobile service usage. Pers Ubiquitous Comput 13:331–342

    Article  Google Scholar 

  51. Wang YS, Liao YW (2007) The conceptualization and measurement of m-commerce user satisfaction. Comput Hum Behav 23:381–398

    Article  MathSciNet  Google Scholar 

  52. Wong YK, Hsu CJ (2008) The confidence-based framework for business to consumer (B2C) mobile commerce adoption. Pers Ubiquitous Comput 12:77–84

    Article  Google Scholar 

  53. Yi MY, Jackson JD, Park JS, Probst JC (2006) Understanding information technology acceptance by individual professionals-toward an integrative view. Inf Manag-Amst 43:350–363

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi-Hsuan Yeh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liang, TP., Yeh, YH. Effect of use contexts on the continuous use of mobile services: the case of mobile games. Pers Ubiquit Comput 15, 187–196 (2011). https://doi.org/10.1007/s00779-010-0300-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-010-0300-1

Keywords

Navigation