The potential of converged mobile telecommunication services: a conjoint analysis

Purpose – Fearing that their voice and SMS business will be substituted by IP‐based services from internet companies, mobile operators are developing various IP multimedia subsystem (IMS) based technologies to enable richer communication services. They reason that since the new rich communication services – such as enhanced presence, group communication and seamless switching between devices and media types within the same communication session – provide secure and more reliable services than those offered by internet companies – Skype, Whatsapp and Google+, for instance – consumers will readily appreciate their services and consequently use them. This paper seeks to address these issues.Design/methodology/approach – To validate these claims, this study analyzes the results of a conjoint survey among 82 respondents in The Netherlands, France and Spain. Are users really willing to adopt these rich communication services and, if so, do issues like reliability, privacy and security impact their decision?Find...

[1]  Kai Wehmeyer,et al.  Consumer preferences for location-based service attributes: a conjoint analysis , 2005 .

[2]  Kelvin Lancaster,et al.  Change and Innovation in the Technology of Consumption , 1966 .

[3]  Stefan Baldi,et al.  The Entertaining Way to M-Commerce: Japan's Approach to the Mobile Internet - A Model for Europe? , 2002, Electron. Mark..

[4]  Gonzalo Camarillo,et al.  The 3G IP Multimedia Subsystem : Merging the Internet and the Cellular Worlds , 2004 .

[5]  Pablo Vidales,et al.  The IMS service platform: a solution for next-generation network operators to be more than bit pipes , 2006, IEEE Communications Magazine.

[6]  Liyi Zhang,et al.  Correlation analysis between users' educational level and mobile reading behavior , 2011, Libr. Hi Tech.

[7]  Hans H. Bauer,et al.  User requirements for location based services , 2005 .

[8]  Yong Liu,et al.  Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China , 2011, Comput. Hum. Behav..

[9]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[10]  F. Yegenoglu,et al.  Voice over IP service and performance in satellite networks , 2001, IEEE Commun. Mag..

[11]  Eija Kaasinen,et al.  User needs for location-aware mobile services , 2003, Personal and Ubiquitous Computing.

[12]  Franck Tétard,et al.  Lazy User Theory: A Dynamic Model to Understand User Selection of Products and Services , 2009 .

[13]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[14]  Upkar Varshney,et al.  Reliability and Survivability of Wireless and Mobile Networks , 2000, Computer.

[15]  Trevor Darrell,et al.  Privacy in Context , 2001, Hum. Comput. Interact..

[16]  Pirkko Walden,et al.  Barriers and drivers in the adoption of current and future mobile services in Finland , 2007, Telematics Informatics.

[17]  Ioanna D. Constantiou,et al.  Exploring perceptions and use of mobile services: user differences in an advancing market , 2006, Int. J. Mob. Commun..

[18]  Peter K. J. Tobin,et al.  Factors affecting the adoption of Voice over Internet Protocol (VoIP) and other converged IP services in South Africa , 2006 .

[19]  F. Carlsson The demand for intercity public transport: the case of business passengers , 2003 .

[20]  Harry Bouwman,et al.  Would you share? Predicting the potential use of a new technology , 2009, Telematics Informatics.

[21]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[22]  Upkar Varshney,et al.  A framework for the emerging mobile commerce applications , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[23]  Joe Bogue,et al.  A conjoint‐based approach to concept optimisation: probiotic beverages , 2005 .

[24]  Stirling Bryan,et al.  Structural reliability of conjoint measurement in health care: an empirical investigation , 2002 .

[25]  Margherita Pagani Determinants of adoption of third generation mobile multimedia services , 2004 .

[26]  Chang Won Lee,et al.  Relationship between consumer's preference and service attributes in mobile telecommunication service , 2011, Expert Syst. Appl..

[27]  Hee Young Kim,et al.  Conjoint analysis for improving the e-book reader in the Korean market , 2011, Expert Syst. Appl..

[28]  Harry Bouwman,et al.  Mobile services put in context: A Q-sort analysis , 2012, Telematics Informatics.

[29]  Chulhyun Kim,et al.  A systematic approach to new mobile service creation , 2008, Expert Syst. Appl..

[30]  Saul J. Berman,et al.  New business models for emerging media and entertainment revenue opportunities , 2011 .

[31]  Niklas Eriksson,et al.  Possible Determinants Affecting the Use of Mobile Tourism Services , 2008, ICETE.

[32]  Pieter Ballon,et al.  Adding value to the network: Mobile operators' experiments with Software-as-a-Service and Platform-as-a-Service models , 2011, Telematics Informatics.

[33]  Shuk Ying Ho,et al.  The attraction of personalized service for users in mobile commerce: an empirical study , 2002, SECO.

[34]  Mark de Reuver,et al.  Governance of flexible mobile service platforms , 2010, 2010 14th International Conference on Intelligence in Next Generation Networks.

[35]  Christer Carlsson,et al.  Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[36]  Chul-Yong Lee,et al.  Forecasting future demand for large-screen television sets using conjoint analysis with diffusion model , 2006 .

[37]  Upkar Varshney,et al.  Mobile Commerce: A New Frontier , 2000, Computer.

[38]  Diogo R. Ferreira,et al.  Providing user context for mobile and social networking applications , 2010, Pervasive Mob. Comput..

[39]  Maree Thyne,et al.  The use of conjoint analysis to assess the impact of the cross-cultural exchange between hosts and guests. , 2006 .

[40]  Harry Bouwman,et al.  Theoretical and methodological starting points for a situational approach towards the understanding of the adoption and use of new technologies and services , 2011 .

[41]  Carmen L. Lewis,et al.  Conjoint Analysis Versus Rating and Ranking for Values Elicitation and Clarification in Colorectal Cancer Screening , 2012, Journal of general internal medicine.

[42]  Melda Akin Predicting preferences of university students for prepaid vs post paid cell phone service plans , 2011, Expert Syst. Appl..

[43]  So Young Sohn,et al.  Designing a business model for the content service of portable multimedia players , 2009, Expert Syst. Appl..

[44]  Mark de Reuver,et al.  Governance of mobile service innovation after the walled gardens , 2011 .

[45]  Harry Bouwman,et al.  Coppers context, and conjoints: a reassessment of TAM , 2009, J. Inf. Technol..

[46]  Christopher A. Lupp,et al.  Needs versus technology--the challenge to design third-generation mobile applications , 2004 .

[47]  Andreas Pitsillides,et al.  Key issues for the design and development of mobile commerce services and applications , 2005, Int. J. Mob. Commun..

[48]  So Young Sohn,et al.  Conjoint and WTP analyses of future mobile phones for digital convergence , 2010 .

[49]  George A. Marcoulides,et al.  Multivariate Statistical Methods: A First Course , 1997 .