Skip to main content
SpringerLink
Log in

Support for real-time decision making in mobile financial applications

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstracts

Mobile users making real-time decisions based on current information need confidence that their context has been taken into consideration in producing the system’s recommendations. This chapter reviews current use of mobile technologies for context-aware real-time decision support. Specifically, it describes a framework for assessing the impact of mobility in decision making. The framework uses dynamic context model of data quality to represent uncertainties in the mobile decision-making environment. This framework can be used for developing visual interactive displays for communicating to the user relevant changes in data quality when working in mobile environments. As an illustration, this chapter proposes a real-time decision support procedure for on-the-spot assistance to the mobile consumer when choosing the best payment option to efficiently manage their budget. The proposed procedure is based on multi-attribute decision analysis, scenario reasoning, and a quality of data framework. The feasibility of the approach is demonstrated with a mobile decision-support system prototype implementation.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Ahlund C, Zaslavsky A (2002) Support for wireless connectivity in hot spot areas, in the first MOST international conference, Warsaw, 7–8 October, 2002

  • Anderson R (1994) Making smartcard systems robust, in IFIPS first smartcard research and advanced application conference, Lille, pp 1–14

  • Aronson J, Liang T, Turban E (2005) Decision support systems and intelligent systems. Pearson, Upper Saddle River

    Google Scholar 

  • Blunn M, Cowie J, Cairns D (2007) Mobile decision making and knowledge management: supporting geoarchaeologists in the field. In: Proceedings of the 9th international conference on enterprise information systems

  • Braudel F (1992) The structures of everyday life: the limits of the possible (civilization and capitalism: 15–18th century). University of California Press, Berkeley

    Google Scholar 

  • Bukhres O, Pitoura E, Zaslavsky A (2003) Mobile computing. In: Blazewicz J, Kubiak W, Morzy T, Rusinkiewicz M (eds) Handbook on data management in information systems, vol 3. Springer, Heidelberg

    Google Scholar 

  • Burstein F, San Pedro JC, Zaslavsky A, Hodgkin J (2004) Pay by cash, credit or EFTPOS? Supporting the user with mobile accounts manager. In: Proceedings of the 3th international conference on mobile business, m>business 2004, Institute of Technology and Enterprise, Polytechnic University, New York, pp 1–1

  • Burstein F, Zaslavsky A, Arora N (2005) Context-aware mobile agents for decision-making support in healthcare emergency applications. In: Proceedings of the workshop on context modeling and decision support, at 5th international conference on modelling and using context, CONTEXT’05, Paris, pp 1–16

  • Cabrera J, Frutos H, Stoica A, Avouris N, Dimitriadis Y, Fiotakis G, Liveri K (2005) Evaluating mobile content: mystery in the museum: collaborative learning activities using handheld devices. In: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services MobileHCI ‘05, pp 315–318

  • Carlsson C, Carlsson J, Denk M, Walden P (2005) Mobile commerce: insights from expert surveys in Austria and Finland. In: Proceedings of the 18th bled eCommerce conference

  • Carlsson C, Carlsson J, Walden P (2006) Mobile travel and tourism services on the finnish market. In: Proceedings of the 24th Euro CHRIE Congress

  • Carlsson C, Hyvönen K, Repo P, Walden P (2005) Adoption of mobile services across different technologies. In: Proceedings of the 18th bled eCommerce conference, Bled

  • Carlsson C, Walden P (2007) Mobile TV—to live or die by content. In: Proceedings of the 40th Hawaii international conference on systems sciences. IEEE Computer Society Press

  • Chatterjee S (2003) Developing enterprise web services and applications: opportunities and best practices for the healthcare industry. J Bioinformat (in press)

  • Chen T, Chen H (1993) Approximations of continuous functionals by neural networks with application to dynamic systems. IEEE T Neural Networks 4(6):910–918

    Article  Google Scholar 

  • Churchill E, Munro A (2001) Work/place: mobile technologies and arenas of activity. ACM Siggroup Bull 22:3–9

    Google Scholar 

  • Cowie J, Burstein F (2007) Quality of data model for supporting mobile decision making. Decis Support Systems 43(4):1675–1683

    Article  Google Scholar 

  • Cowie J, Godley P (2006) Decision support on the move: mobile decision making for triage management. In: Proceedings of the 8th international conference on enterprise information systems: artificial intelligence and decision support systems, Paphos, INSTICC Press, pp 296–299

  • Derballa V, Pousttchi K (2004) Mobile services and technology track: extending knowledge management to mobile workplaces. In: Proceedings of the 6th international conference on electronic commerce ICEC ‘04, 60, pp 583–590

  • Ghosh AK (1998) E-commerce security weak links, best defenses. Wiley, New York, pp 21–26

    Google Scholar 

  • Hartmann J, Bretzke S (1999) Financial services for the future—mobile, flexible, and agent-based. Accessed via http://citeseer.ist.psu.edu/correct/287340. Accessed 19 Feb 2007

  • Hodgkin J, San Pedro J, Burstein (2004) Supporting real-time decision making on the move. In: Proceedings of the 2004 IFIP international conference on decision support systems (DSS2004), Prato

  • Jayaputera G, Zaslavsky A, Loke S (2003) A mission-based multiagent system for internet applications. In: Proceedings of the 2nd international workshop on wireless information systems, Anger

  • Jennings A, Higuchi H (1992) A personal news service based on a user model neural network. IEICE T Inf Syst 75(2):198–209

    Google Scholar 

  • Kargupta H, Park B-H, Pittie S, Liu L, Kushraj D, Sarkar K (2002) Mobimine: monitoring the stock market from a PDA. SIGKDD Explor 3(2):37–46

    Article  Google Scholar 

  • Kim H, Chan P (2003) Learning implicit user interest hierarchy for context in personalization, in proceedings of IUI’03, Miami, FL, Accessed via http://citeseer.nj.nec.com/578819.html. Accessed 18 Nov 2003

  • Martin C (1999) Net future: The 7 cybertrends that will drive your business, create new wealth, and define your future. McGraw-Hill, NY

    Google Scholar 

  • Mennecke BE, Strader TJ (2002) Mobile commerce: technology, theory, and applications. Idea Group, Hershey

    Google Scholar 

  • Michalowski W, Rubin S, Slowinski R, Wilk S (2003) Mobile clinical support system for pediatric emergencie. Decis Support Systems 36:161–176

    Article  Google Scholar 

  • Nasraoui O, Petenes C (2003)An intelligent web recommendation engine based on fuzzy. Accessed via http://citeseer.ist.psu.edu/573984.html. Accessed 18 Nov

  • Navarro F, Schulter A, Koch F, Assuncao M, Westphall C (2006) Grid middleware for mobile decision support systems, networking. In: International conference on systems and international conference on mobile communications and learning technologies, pp 125–125

  • Nielsen LB (2004) Post disney experience paradigm? Some implications for the development of content to mobile tourist services. In: Mariji J, Sol HG, Wagenaar RW (eds), ICEC’04, 6th international conference on electronic, ACM database

  • O’Leary DE (2007) Supporting decisions in real-time enterprises: autonomic supply chain systems. In: Burstein F, Holsapple Cl (eds) Handbook on decision support systems, part 6. Springer, Heidelberg

  • Padmanabhan N, Burstein F, Churilov L, Wassertheil J, Hornblower BF, Parker NA (2006) A mobile emergency triage decision support system evaluation. In: Sprague RH Jr (ed) Proceedings of the 39th annual Hawaii international conference on system sciences, Kauai, HI. IEEE Computer Society, pp 1–10

  • Panis S, Morphis N, Felt E, Reufenheuser B, Böhm A, Nitzt J, Saarlot P, Service scenarios and business models for mobile commerce, Accessed via http://citeseer.nj.nec.com/panis02service.html. Accessed 25 Nov 2002

  • Parkes DC, Huberman BA (2001) Multi-agent cooperative search for portfolio selection, games & economic behaviour. Artif Int Econ 35:124–165

    Google Scholar 

  • Pawlak Z, Slowinski R (1994) Rough set approach to multi-attribute decision analysis. Eur J Oper Res 72:443–359

    Article  Google Scholar 

  • Pestana G, Silva M, Casaca A, Nunes J (2005) Systems and applications: an airport decision support system for mobiles surveillance & alerting. In: Proceedings of the 4th ACM international workshop on data engineering for wireless and mobile access, pp 33–40

  • Pomerol J-C (1997) Artificial intelligence and human decision making. Eur J Oper Res 99:3–25

    Article  Google Scholar 

  • Reis L, Hoye D, Gilbert D, Ryumae M (2000) Online banking and electronic bill presentment payment are cost effective, Interdisciplinary telecommunications program, Capstone Papers, DSpace. Accessed 19 Feb 2006

  • Rogers I (2003) Point, Click and Wai. CFO Magazine, Australia

  • San Pedro J, Burstein F, Wassertheil J, Arora N, Churilov L, Zaslavsky A(2005) On the development and evaluation of prototype mobile decision support for hospital triage, Hawaii

  • San Pedro JC, Burstein FV, Zaslavsky AB (2003) Support for real-time decision-making in mobile business applications. In the 2nd International conference on mobile business m>business 2003, Vienna, Oesterreichische computer Gesellschaft, pp 383–392

  • Sharaf M, Chrysanthis P (2002) Data and content: facilitating mobile decision making. In: Proceedings of the 2nd ACM mobicom international workshop on mobile commerce, pp 45–53

  • Schiaffino S, Amandi A. User profiling with case-based reasoning and bayesian networks.” IBERAMIA-SBIA 2000 open discussion track, pp 12–21

  • Simon HA (1960) The new science of management decision. Harper and Row, New York

    Google Scholar 

  • Sprague RH, Carlson ED (1982) Building effective decision support systems. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Tarica E (2001) Real budgets for real people. The Age, Australia

  • Tsang S (2003) Called to account. Sydney Morning Herald, Australia

  • CJD, Yee BS. Secure coprocessors in electronic commerce applications. In: Proceedings of 1995 USENIX electronic commerce workshop, New York. Accessed via http://citeseer.nj.nec.com/yee95secure.html. Accessed 19 Nov 2003

  • Van der Heijden H, Junglas I (2006) Special issue on mobile user behaviour. Eur J Inform Syst 14(3):249–251

    Article  Google Scholar 

  • Zaslavsky A (2002) Mobility in enterprise applications. In: Abramowicz W (ed) Proceedings of the 5th international conference on business information systems, Poland, pp 24–25

  • Zhang D, Karabatis G, Chen Z, Adipat B, Dai L, Zhang Z, Wang Y (2006) Handheld computing (HHC): personalization and visualization on handheld devices. In: Proceedings of the 2006 ACM symposium on applied computing SAC ‘06, pp 1008–1012

Download references

Acknowledgments

The authors would like to acknowledge Professor Christer Carlsson, Mr Shane Grigsby and Ms Neha Padmanabhan for their help in reviewing the mobile decision support literature. We are also grateful for constructive recommendations from two reviewers of earlier drafts of this chapter.

Author information

Authors and Affiliations

  1. Monash University, Caulfield East, VIC, Australia

    Frada Burstein & Arkady Zaslavsky

  2. Department of Computing Science and Mathematics, University of Stirling, Stirling, UK

    Julie Cowie

  3. Group Market Risk, National Australia Bank Limited, Melbourne, Australia

    Jocelyn San Pedro

Authors
  1. Frada Burstein
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Julie Cowie
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arkady Zaslavsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jocelyn San Pedro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Frada Burstein.

Additional information

This article is part of the “Handbook on Decision Support Systems” edited by Frada Burstein and Clyde W. Holsapple (2008) Springer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Burstein, F., Cowie, J., Zaslavsky, A. et al. Support for real-time decision making in mobile financial applications. Inf Syst E-Bus Manage 6, 257–278 (2008). https://doi.org/10.1007/s10257-008-0090-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-008-0090-4

Keywords

Search

Navigation