Interface design for mobile applications

Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale

Volumn 3, Issue , 2005, Pages 1157-1166

  Adipat, Boonlit ^a   Zhang, Dongsong ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Interface; Mobile application; User centered design; Wireless environment

Indexed keywords

INFORMATION PRESENTATION; INTERFACE DESIGNS; LITERATURE REVIEWS; LOW RESOLUTION; MOBILE APPLICATIONS; MOBILE INTERFACE; MOBILE USERS; SMALL SCREENS; THEORETICAL FRAMEWORK; UNIQUE FEATURES; USER CENTERED DESIGNS; USER FRIENDLY INTERFACE; WIRELESS ENVIRONMENT;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INTERFACES (MATERIALS); MOBILE DEVICES;

INFORMATION SYSTEMS;

EID: 84869743554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Review

References (50)

1. Adel M. Aladwania, Prashant C. Palviab, (2002) Developing and validating an instrument for measuring user-perceived web quality, Information & Management 39, pp.467-476
2. Agarwal, Karahanna, (2000) Time Flies When You're Having Fun: Cognitive Absorption And Beliefs About Information Technology Usage, MIS Quarterly (24:4), pp. 665-694
3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50, 179-211.
4. Ambra J., C. S. Wilson (2004) Use of the World Wide Web for International Travel: Integrating the Construct of Uncertainty in Information Seeking and the Task-Technology Fit (TTF) Model. Journal of the American Society of Information Science and Technology 55 (8), 2004, pp. 731-742.
5. Ambra, J., Rice, R.E. (2001). Emerging factors in user evaluation of the WWW. Information & Management, 38, 373-384.
6. Andal-Ancion, Cartwright& Yip (2003). The Digital Transformation Of Traditional Businesses, MIT Sloan Management Review
7. Atkinson, M., & Kydd, C. (1997). Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation, Data Base for Advances in Information Systems, 28, 53-62.
8. Barlett, Glinska, (2002). GE's Digital Revolution: Redefining the E in GE, 9-302-001, Harvard Business School
9. Benslimane, Plaisent and Bernard (2003) Applying the Task-Technology Fit Model to WWW-based Procurement: Conceptualization and Measurement, Proceedings of the 36th Hawaii International Conference on System Sciences
10. Chau, P. Y. IC (1996) An Empirical Assessment of a Modified Technology Acceptance Model, Journal of Management Information Systems (13:2), pp. 185-204.
11. Childers, Carr, Peck, Carson S., (2001) Hedonic and Utilitarian motivations for Online retail shopping behavior, Journal of Retailing, 77, pp.511-535
12. Cho, J. (2004) Likelihood to abort an online transaction: influences from cognitive evaluations, attitudes, and behavioral variables, Information & Management 41, pp.827-838
13. Chunga J., Felix B. Tan, (2004) Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites, Information & Management 41, pp. 869-881
14. Coltman, T., Devinney, Latukefu, and Mifgley (2001). E-Business: Revolution, Evolution or Hype?, California Management Review, 44:1, pp. 57-86
15. Cooper R.B and Zmud. Robert (1990). Information technology Implementation Research: A Technological Diffusion Approach, Management Science, 36:2, pp. 123-139
16. Dahlberg T., Mallat, N. & Oorni, A. (2003) Trust enhanced Technology Acceptance Model - Consumer acceptance of mobile payment solutions, Proceedings of the CIC Roundtable 2003.
17. Davis, F. D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly (13:3), pp.319-339.
18. Davis, F.D., Bagozzi, R.P., Warshaw, P. R (1989) User acceptance of computer technology: a comparison of two theoretical models, Management Science, v.35 n.8, pp.982-1003
19. DeLone, W. H. and E. R. McLean, (1992) Information Systems Success: The Quest for the Dependent Variable, Information Systems Research, 3,1, 60-95.
20. Dishaw, M. T., Strong, D. M., Bandy, D. B. (2002) Extending the task-technology fit model With self-efficacy constructs, 2002 Eighth Americas Conference on Information Systems
21. Eder, Lauren & Igbaria, Magid, (2001) "Determinants of Intranet Diffusion and Infusion", Omega, June, Volume 29, No. 3, pp. 233-242.
22. Featherman, M.S. & Pavlou, P.A. (2002). Predicting e-services adoption: A perceived risk facets perspective. Eighth Americas Conference on Information Systems 2002. Available at http://www.hp.com/solutions1/e-services/
23. Gardner, C. (2004). Development of an Instrument to Measure the Acceptance of Internet Technology by Consumers, Proceedings of the 37th Hawaii International Conference on System Sciences
24. Gefen, D. & Straub, D.W. (2000). The relative importance of perceived ease-of-use in IS adoption: A study of ecommerce adoption. Journal of the Association for Information Systems 1(8), 1-28.
25. Gefen, Karahanna Straub, (2003) Trust and tam in online shopping: an integrated model, MIS Quarterly, 27:1, pp. 51-90
26. Heijden, H. (2003) Factors influencing the usage of websites: the case of a generic portal in the Netherlands, Information & Management, 40, 541-549
27. Hoffman, D.L., & Novak, T.P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60, 50-68.
28. Hsu. Chin-Lung, Lu. Hsi-Peng, (2004) Why do people play on-line games? An extended TAM with social influences and flow experience, Information & Management, 41, 853-868
29. Hwang Y. and Yi M. Y., (2002) Predicting the use of web-based information Systems: intrinsic motivation and Selfefficacy, 2002 Eighth Americas Conference on Information Systems
30. Igbaria, M., Guimaraes, T., and Davis, G. B. (1995) Testing the Determinants of Microcomputer Usage via a Structural Equation Model, Journal of Management Information Systems (11:4), pp.87-114.
31. Jarvenpaa, S. & Tractinsky, N. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer Mediated Communication, 5(2), 1-5.
32. Keat T. and Mohan A., (2004) Integration of TAM Based Electronic Commerce Models for Trust Multimedia University, Malaysia, The Journal of American Academy of Business, Cambridge, pp. 404-413
33. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13, 205-223.
34. Lai, and Li, (2005) Technology acceptance model for internet banking: an invariance analysis, Information & Management 42, pp. 373-386
35. Lederer, (1998) The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage, SIG on Computer Personnel Research Annual Conference, Proceedings of the 1998 ACM SIGCPR conference
36. Liang T.P., Lai, HJ. (2002) Effect of Store Design on Consumer Purchases: van empirical study of online bookstores, Information & Management, 39, 431-444
37. Liu C., Marchewk, Lu J., Yu, C. Z. (2005). Beyond concern- a privacy-trust-behavioral intention model of electronic commerce, Information & Management, 42, 289-304
38. McCauley, (2002). Citibank's e-Business Strategy for Global Corporate Banking, HKU197, Centre for Asian Business Cases
39. Moon, and Kim, (2001) Extending the TAM for a WWW context, Information & Management 38, pp.217-230
40. Page, K., and Uncles, M. (2000) Perceived Ease of Web Use and Perceived Usefulness of the Web: Multi-item Scale Development, ANZMAC, Visionary Marketing for the 21st Century: Facing the Challenge
41. Pavlou, P.A. (2001). Integrating trust in electronic commerce with the Technology Acceptance Model: Model development and validation, Seventh Americas Conference on Information Systems.
42. Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the Technology Acceptance Model, International Journal of Electronic Commerce, 7(3), 101-134.
43. Rangan K., Bell Marie.,(1999). Dell Online, 9-598-116, Harvard Business School
44. Raven, R. (2002) Feasibility of Global e-Business Projects. Seattle University, 34p
45. Ruppel, Linda, and Harrington, (2003) e-Commerce: The Roles of Trust, Security, and Type of e-Commerce Involvement, e-Service Journal
46. Saade, R. and Bahli, B. (2005) The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model, Information & Management 42, pp. 317-327
47. Shang, Chen Y. C., Shen L., (2005) Extrinsic versus intrinsic motivations for consumers to shop on-line, Information & Management 42, pp. 401-413
48. Straub, D.W., Hoffman, D.L., Weber, B.W., & Steinfield, C. (2002). Measuring e-commerce in net-enabled organizations: An introduction to the special issue, Information Systems Research. 13(2), 115-124.
49. Suh, B. & Han, I. (2003) The impact of customer trust and perception of security control on the acceptance of electronic commerce, International Journal of Electronic Commerce, 7(3), 135-161.
50. Venkatesh, V., (2000) Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and emotion into Technology Acceptance Model, Information Systems Research, (11:4), pp.342-365.