Factors Influencing Consumer's Behavioral Intention to Adopt IRCTC Connect Mobile Application

Indian Railway Catering and Tourism Corporation Ltd. (IRCTC) launched “IRCTC Connect” mobile application (app) for different mobile platforms for booking/cancellation tickets, but the app usage rate is very low in comparison to IRCTC website and Passenger Reservation System (PRS). This indicates a gap between implementation and adaption of IRCTC Connect. This paper explores the factors influencing the consumer’s behavioral intention to use IRCTC Connect by adapting Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Regression analysis is used to analyze total 159 valid responses, collected through survey at MNNIT campus Allahabad, India. The findings of the study illustrate that only three factors Social Influence, Price Value and Habit of UTAUT2 model are significantly influencing the adoption of IRCTC Connect with adjusted R-Square value 0.699. This study will facilitate IRCTC Connect developers to encompass better understanding on consumers’ desires and intention and encourages researchers in this area for longitudinal observation in different backgrounds.

[1]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[2]  Chi Cheng Chang,et al.  Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students. , 2012 .

[3]  E. Rogers.  Diffusion of Innovations: Modifications of a Model for Telecommunications , 1995 .

[4]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[5]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[6]  Walter K. Dodds,et al.  An inexpensive device for sampling large volumes of lake water from discrete depths , 1988 .

[7]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[8]  Sang-Chul Lee,et al.  Determinants of behavioral intention to mobile banking , 2009, Expert Syst. Appl..

[9]  K. Ghosh,et al.  “Buyer's motivation” for online buying: an empirical case of railway e-ticketing in Indian context , 2013 .

[10]  Martha G. Russell,et al.  The Impact of Perceived Channel Utilities, Shopping Orientations, and Demographics on the Consumer's Online Buying Behavior , 2006, J. Comput. Mediat. Commun..

[11]  Craig Standing,et al.  An adoption model for mobile banking in Ghana , 2009, Int. J. Mob. Commun..

[12]  Xin Luo,et al.  Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services , 2010, Decis. Support Syst..

[13]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[14]  Alain Yee-Loong Chong,et al.  Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter? , 2013, Comput. Hum. Behav..

[15]  E. Abu-Shanab,et al.  Education level as a technology adoption moderator , 2011, 2011 3rd International Conference on Computer Research and Development.

[16]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[17]  Yi-Fei Chuang,et al.  Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions , 2011 .

[18]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[19]  Alain Yee-Loong Chong,et al.  Predicting m-commerce adoption determinants: A neural network approach , 2013, Expert Syst. Appl..

[20]  Yogesh Kumar Dwivedi,et al.  Empirical Examination of the Role of Three Sets of Innovation Attributes for Determining Adoption of IRCTC Mobile Ticketing Service , 2015, Inf. Syst. Manag..

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

[22]  Catharine Bomhold,et al.  Educational use of smart phone technology: A survey of mobile phone application use by undergraduate university students , 2013, Program.

[23]  E. Bigné,et al.  The Impact of Internet User Shopping Patterns and Demographics on Consumer Mobile Buying Behaviour , 2005 .

[24]  Thomas Hess,et al.  An Application of UTAUT2 on Social Recommender Systems: Incorporating Social Information for Performance Expectancy , 2014, 2014 47th Hawaii International Conference on System Sciences.

[25]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[26]  K. Ghosh,et al.  Conceptualizing consumer “trust” in online buying behaviour: an empirical inquiry and model development in Indian context , 2013 .

[27]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[28]  Keng-Boon Ooi,et al.  What catalyses mobile apps usage intention: an empirical analysis , 2015, Ind. Manag. Data Syst..

[29]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

[30]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

[31]  Seok Kang,et al.  Factors influencing intention of mobile application use , 2014, Int. J. Mob. Commun..

[32]  Harry Bouwman,et al.  Ubiquitous use of mobile social network services , 2014, Telematics Informatics.

[33]  E. Rogers.  Diffusion of Innovations , 1962 .

[34]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[35]  A. Palmer,et al.  Predicting young consumers' take up of mobile banking services , 2010 .

[36]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[37]  N. Melone.  A theoretical assessment of the user-satisfaction construct in information systems research , 1990 .

[38]  Yogesh Kumar Dwivedi,et al.  IRCTC mobile ticketing adoption in an Indian context , 2015 .

[39]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[40]  Wouter Duyck,et al.  Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study , 2011, Comput. Hum. Behav..

[41]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[42]  Y. Don,et al.  Preservice Teachers' Acceptance of Learning Management Software: An Application of the UTAUT2 Model. , 2013 .

[43]  James Gips,et al.  Interface Psychology: Touchscreens Change Attribute Importance, Decision Criteria, and Behavior in Online Choice , 2015, Cyberpsychology Behav. Soc. Netw..