Abstract
With processors imbedded in appliances, cars, books, and other retail products, modern society has entered the world of pervasive computing. Yet few consumers are able to set up new digital devices and integrate them into everyday life. From this perspective, the data-enabled mobile phone leads the way. In many markets, mobile phones have a product life cycle of 12 months or less. Some subscribers are able to put their new phones to immediate and full use. For others, the learning curve is so steep that they move on to a replacement without having learned to exploit the functionality available in the first one. This work applies earlier findings by IMARC researchers in segmenting mobile data services (MDS) markets, interprets recent survey data, and synthesizes a model to guide design of the Out-of-the-Box Experience (OoBE) for mobile data subscribers. This integrative model can be applied across cultures to help service developers, facilitators and operators design, distribute and communicate new MDS to fulfill the demand side requirements of potential adopters, and to guide packaging design to improve user experiences during the early stages of use.
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References
Quint B (2001) Out-of-the-Box experiences and taxonomies. Inform Today 18:8–12
Chapanis A (1996) Human factors in systems engineering. Wiley, New York
Chen S, Myers R, Pasetto R (1997) The out of box experience: lessons learned creating compelling VRML 2.0 content. In: Proceedings of the second symposium on virtual reality modeling language, San Jose
Griffin C (2002) OoBE re-spins web sporting goods business. San Francisco 35 No:13
Khermouch G (1995) Acer tries to get out of the box. Brand week, accessed online at http://www.brandweek.com/brandweek/_id=548953
Fouts JW (2000) On site: an “Out-of-Box” experience. Commun ACM 43:28–29
Prekop P, Burnett M (2003) Activities, context, and ubiquitous computing. Comput Commun 26 :1168–1176
Palen L, Salzman M (2002) Beyond the handset: designing for wireless communications useability. ACM Trans Computer-Human Int 9:125–151
Gilbert AL, Han MIH (2004) Modeling the dynamics of emerging mobile data services markets. In: NS Shi (eds) Mobile commerce applications. Idea group, Hershey, pp 233–255
Ives B, Learmonth G (1984) The information system as a competitive weapon. Commun ACM 27:1193–1201
Rogers E (1995) Diffusion of innovations. Free Press, New York
Chase R (1978) Where does the customer fit in a service operation? HBR 56:137–142
EBW (1995) Of Bicycles, bakelites, and bulbs: toward a theory of sociotechnical change. The MIT Press, Cambridge
DLJ (2004) Determining demand, supply, and pricing for emerging markets based on disruptive process technologies. Technol Forecast Soc 71:105–120
Moore G, McKenna R (1999) Crossing the chasm: marketing and selling high-tech products to mainstream customers. Harper Business, New York
IDC (2001) Trends today, insights for tomorrow. IDC’s 2001 videogame survey. IDC, accessed online at http://cyberatlas.internet.com/big_picture/applications/article/0,1323,1301_871111,00.html
Moreau CP, Lehmann DR, Markman AB (2001) Entrenched knowledge structures and consumer response to new products. J Mol Recognit 38:14–29
Miller RN (1993) Target marketing. In (eds) Multinational marketing, Free Press, New York
Weinstein A (1994) Market segmentation. Probus, Chicago
Kotler P, Armstrong G (1999) Principles of marketing. Prentice Hall, New Jersey
Keen and Mackenzie (2001)
Wickens C, Gordon-Becker S, Liu YD (2003) An introduction to human factors engineering. Addison-Wesley, Reading
Urban G, Hauser J (1980) Design and marketing of new products. Prentice Hall, NJ
Urban G, Weinberg B, Hauser J (1996) Pre-market forecasting of really new products. J Marketing 60:47–60
Group OC (2001) Wireless gaming—playing to win. Accessed online at http://www.ovum.com/go/content/GAM.htm
Bateman T, Crant JM (2001) Revisiting intrinsic and extrinsic motivation. Working paper
Katz E, Blumer JG (1974) The uses of mass communications: current perspectives on gratifications research. Sage, Beverly Hills
Olson MJ (1965) The logic of collective action. Harvard University Press, Cambridge
Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Sloan School of Management. Massachusetts Institute of Technology, Cambridge
Parasuraman A (2000) Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. J Serv Res 2:307–320
Anonymous (2003) M1 to launch 3G services next year. Business Times, Singapore. 28 Nov 2003 Accessed online at http://it.asia1.com.sg/newsdaily/news005_20031128.html
Lee WPLCC (2003) Customising WAP-based information services on mobile networks. PUC 7:321–330
Woods D (1988) Coping with complexity: the psychology of human behaviour in complex systems. In: Goodstein L, Andersen, Olsen (eds) Tasks, errors, and mental models. Taylor and Francis, London, pp 128–148
Rosen D, Purinton E, Lloyd SF (2004) Web site design: building a cognitive framework. J Electr Commer Organizations 2:15–28
Kaplan R (1973) Predictors of environmental preference: designers and clients. In: Prieser W (eds) Environmental design research, vol 1. Hutchinson and Ross, Stroudsberg, pp 265–274
Alexander C (1977) A pattern language. Oxford University Press, London
Gamma E, Helm R, Johnson R, Vlissides J (1993) Design patterns: abstraction and reuse of object-oriented designs. In: Proceedings of the ECOOP ‘93, Springer, Berlin Heidelberg New York
Roth J (2002) Patterns of mobile interaction. PUC 6:282–289
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Gilbert, A.L., Sangwan, S. & Ian, H.H.M. Beyond usability: the OoBE dynamics of mobile data services markets. Pers Ubiquit Comput 9, 198–208 (2005). https://doi.org/10.1007/s00779-004-0321-8
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DOI: https://doi.org/10.1007/s00779-004-0321-8