BibTex RIS Cite

ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY

Year 2013, Volume: 5 Issue: 1, 485 - 494, 01.06.2013

Abstract

Developing a successful mobile application requires the involvement of the user in the development process. Features and functionalities have to be carefully cho- sen to meet user expectations and preferences. This paper presents work in pro- gress and proposes a conjoint-based approach for the assessment of user prefer- ences regarding mobile applications in the context of public transportation. A pre- study was conducted based on a computer-aided online survey with two conjoint analysis variants: Choice-based conjoint (CBC) analysis and adaptive choice- based conjoint analysis (ACBC). The paper compares these two different conjoint methods and their implications for the study design and participation. As a result, some preliminary findings on relevant mobile app features and recommendations for the applicable conjoint analysis variant were derived

References

  • Bauer, Hans H., Anja Schüle and David Toma (2006), “Value-Based Design of
  • Mobile Service Offers in the Automotive Industry“, Proceedings of the IADIS International Conference e-Commerce 2006, pp. 143-150.
  • Bauer, Hans H., Tina Reichardt, Stefanie Exler and Eva Tranka (2007), “Utility- based Design of Mobile Ticketing Applications – A Conjoint-analytical Ap- proach”, Int’l Journal of Mobile Communications, Vol. 5, No. 4, pp. 457-473.
  • Eckjans, Dennis, Jens Fähling, Jan M. Leimeister and Helmut Krcmar (2011),
  • “Mobile Customer Integration: A Smartphone Application Prototype for Conduct- ing Mobile Conjoint Studies”, 10th Int’l Conf. on Mobile Business, pp. 129-135. Giessmann, Andrea and Katarina Stanoevska-Slabeva (2013), “What are Devel- opers’ Preferences on Platform as a Service? An Empirical Investigation“, 46th
  • Hawaii International Conference on System Sciences, pp. 1035-1044.
  • Google (2012), Our Mobile Planet: Understanding the Mobile Consumer, http://services.google.com/fh/files/blogs/our_mobile_planet_germany_en.pdf Accessed 16.04.2013].
  • Green, Paul E. and Srini V. Srinivasan (1990), “Conjoint Analysis in Marketing:
  • New Developments with Implications for Research and Practice”, Journal of Marketing, Vol. 54, Nr. 4, pp. 3-19. Green, Paul E., Abba M. Krieger and Yoram Jerry Wind (2001), “Thirty Years of
  • Conjoint Analysis: Reflections and Prospects”, Interfaces, Vol. 31, No. 3, pp. 56- Jaeger, Sara R., Duncan Hedderley and Halliday J.H. MacFie (2000), “Methodo- logical Issues in Conjoint Analysis: A Case Study“, European Journal of Market- ing, Vol. 35, No. 11, pp. 1217-1239.
  • Kohne, Frank, Carsten Totz and Kai Wehmeyer (2005), “Consumer Preferences for Location-based Service Attributes: A Conjoint Analysis”, International Jour- nal of Management and Decision Making, Vol. 6, No. 1, pp. 16-32.
  • Nikou, Shahrokh, Harry Bouwman and Mark de Reuver (2012), “The Potential of
  • Converged Mobile Telecommunication Services: A Conjoint Analysis”, Info, Vol. , No. 5, pp. 21-35. Sawtooth Software (2008), “CBC Technical Paper. The CBC System for Choice
  • Based Conjoint Analysis“, Sawtooth Technical Paper Series, http://www. sawtoothsoftware.com/download/techpap/cbctech.pdf, [Accessed 18.04.2013].
  • Schaupp, Christian L. and France Bélanger (2005), “A Conjoint Analysis of
  • Online Consumer Satisfaction”, Journal of Electronic Commerce Research, Vol. , No. 2, pp. 95-111.
Year 2013, Volume: 5 Issue: 1, 485 - 494, 01.06.2013

Abstract

References

  • Bauer, Hans H., Anja Schüle and David Toma (2006), “Value-Based Design of
  • Mobile Service Offers in the Automotive Industry“, Proceedings of the IADIS International Conference e-Commerce 2006, pp. 143-150.
  • Bauer, Hans H., Tina Reichardt, Stefanie Exler and Eva Tranka (2007), “Utility- based Design of Mobile Ticketing Applications – A Conjoint-analytical Ap- proach”, Int’l Journal of Mobile Communications, Vol. 5, No. 4, pp. 457-473.
  • Eckjans, Dennis, Jens Fähling, Jan M. Leimeister and Helmut Krcmar (2011),
  • “Mobile Customer Integration: A Smartphone Application Prototype for Conduct- ing Mobile Conjoint Studies”, 10th Int’l Conf. on Mobile Business, pp. 129-135. Giessmann, Andrea and Katarina Stanoevska-Slabeva (2013), “What are Devel- opers’ Preferences on Platform as a Service? An Empirical Investigation“, 46th
  • Hawaii International Conference on System Sciences, pp. 1035-1044.
  • Google (2012), Our Mobile Planet: Understanding the Mobile Consumer, http://services.google.com/fh/files/blogs/our_mobile_planet_germany_en.pdf Accessed 16.04.2013].
  • Green, Paul E. and Srini V. Srinivasan (1990), “Conjoint Analysis in Marketing:
  • New Developments with Implications for Research and Practice”, Journal of Marketing, Vol. 54, Nr. 4, pp. 3-19. Green, Paul E., Abba M. Krieger and Yoram Jerry Wind (2001), “Thirty Years of
  • Conjoint Analysis: Reflections and Prospects”, Interfaces, Vol. 31, No. 3, pp. 56- Jaeger, Sara R., Duncan Hedderley and Halliday J.H. MacFie (2000), “Methodo- logical Issues in Conjoint Analysis: A Case Study“, European Journal of Market- ing, Vol. 35, No. 11, pp. 1217-1239.
  • Kohne, Frank, Carsten Totz and Kai Wehmeyer (2005), “Consumer Preferences for Location-based Service Attributes: A Conjoint Analysis”, International Jour- nal of Management and Decision Making, Vol. 6, No. 1, pp. 16-32.
  • Nikou, Shahrokh, Harry Bouwman and Mark de Reuver (2012), “The Potential of
  • Converged Mobile Telecommunication Services: A Conjoint Analysis”, Info, Vol. , No. 5, pp. 21-35. Sawtooth Software (2008), “CBC Technical Paper. The CBC System for Choice
  • Based Conjoint Analysis“, Sawtooth Technical Paper Series, http://www. sawtoothsoftware.com/download/techpap/cbctech.pdf, [Accessed 18.04.2013].
  • Schaupp, Christian L. and France Bélanger (2005), “A Conjoint Analysis of
  • Online Consumer Satisfaction”, Journal of Electronic Commerce Research, Vol. , No. 2, pp. 95-111.
There are 16 citations in total.

Details

Other ID JA77UH29VJ
Journal Section Articles
Authors

Stephan Böhm This is me

Philip Constantine This is me

Bodo Igler This is me

Publication Date June 1, 2013
Published in Issue Year 2013 Volume: 5 Issue: 1

Cite

APA Böhm, S., Constantine, P., & Igler, B. (2013). ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY. International Journal of Business and Management Studies, 5(1), 485-494.
AMA Böhm S, Constantine P, Igler B. ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY. IJBMS. June 2013;5(1):485-494.
Chicago Böhm, Stephan, Philip Constantine, and Bodo Igler. “ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY”. International Journal of Business and Management Studies 5, no. 1 (June 2013): 485-94.
EndNote Böhm S, Constantine P, Igler B (June 1, 2013) ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY. International Journal of Business and Management Studies 5 1 485–494.
IEEE S. Böhm, P. Constantine, and B. Igler, “ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY”, IJBMS, vol. 5, no. 1, pp. 485–494, 2013.
ISNAD Böhm, Stephan et al. “ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY”. International Journal of Business and Management Studies 5/1 (June 2013), 485-494.
JAMA Böhm S, Constantine P, Igler B. ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY. IJBMS. 2013;5:485–494.
MLA Böhm, Stephan et al. “ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY”. International Journal of Business and Management Studies, vol. 5, no. 1, 2013, pp. 485-94.
Vancouver Böhm S, Constantine P, Igler B. ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY. IJBMS. 2013;5(1):485-94.