Understanding the Characteristics of Early and Late Adopters of Technology: The Case of Mobile Money

Every year, thousands of new technological ideas are conceived. An ability to innovate these ideas continues to be critical in surviving the current business world. This study identifies and empirically assesses the characteristics of technological innovativeness. A research model based on the existing literature on consumer innovativeness is thus presented. The model is tested via a survey instrument from a population of earlier adopters of mobile money services in Ghana and analyzed using ANOVA and independent sample t-test techniques in SPSS. The results showed that early adopters of technology are younger, novelty seekers, and more likely to have good employment and opinion leadership than late adopters. The study contributes to diffusion literature by providing further empirical evidence on the distinctive characteristics of early and late adopters of technology and posits that contrary to past research, independent judgment making of an individual does not affect innovativeness.

[1]  John C. Mowen,et al.  The 3M Model of Motivation and Personality , 2000 .

[2]  Ran Wei,et al.  From Luxury to Utility: A Longitudinal Analysis of Cell Phone Laggards , 2001 .

[3]  Kai Lung Hui,et al.  Identifying early adopters of new IT products: A case of Windows 95 , 1998, Inf. Manag..

[4]  F. J. Rijnsoever,et al.  The effect of innovativeness on different levels of technology adoption , 2009 .

[5]  J. G. Bloem,et al.  Conceptual Issues in the Study of Innovation Adoption Behavior , 1997 .

[6]  Chris J. Backhouse,et al.  Value-Adding to Public Services Through the Adoption of Lean Thinking , 2011, Int. J. Serv. Sci. Manag. Eng. Technol..

[7]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[8]  Peter Tobbin Modeling Adoption of Mobile Money Transfer: A Consumer Behaviour Analysis , 2010 .

[9]  E. Hirschman Innovativeness, Novelty Seeking, and Consumer Creativity , 1980 .

[10]  Frank Alpert,et al.  Who are 'innovators' and do they matter? A critical review of the evidence supporting the targeting of 'innovative' consumers , 2007 .

[11]  G. Roehrich Consumer innovativeness: Concepts and measurements , 2004 .

[12]  Ronald E. Goldsmith,et al.  Theory and measurement of consumer innovativeness: A transnational evaluation , 1998 .

[13]  Charlotte H. Mason,et al.  An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior , 2003 .

[14]  Anita Goyal,et al.  Innovations in Services Marketing and Management: Strategies for Emerging Economies , 2013 .

[15]  F. Bass A new product growth model for consumer durables , 1976 .

[16]  Ignacio Mas,et al.  Scaling Mobile Money , 2011 .

[17]  Hyunjoo Lee,et al.  Profiling mobile TV adopters in college student populations of Korea , 2010 .

[18]  Mun Y. Yi,et al.  Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures , 2006, Decis. Sci..

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

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

[21]  Sangmoon Park,et al.  Separating early-adopters from the majority: The case of Broadband Internet access in Korea , 2005 .

[22]  Ronald M. Lee,et al.  A logic programming framework for planning and simulation , 1986 .

[23]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

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

[25]  Sérgio Ricardo Mazini,et al.  Innovation in Offer of Services for Manufacturing Enterprises: New Experiences Based on Emerging Technologies , 2014 .

[26]  J. Steenkamp The role of national culture in international marketing research , 2001 .

[27]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[28]  G. Foxall Behavior analysis and consumer psychology , 1994 .

[29]  M. Bartlett A Note on the Multiplying Factors for Various χ2 Approximations , 1954 .

[30]  Rajesh Chandy,et al.  Radical Innovation across Nations: The Preeminence of Corporate Culture , 2009 .

[31]  Hairong Li,et al.  Mining the internet plateau: an exploration of the adoption intention of non-users in Singapore , 2006, New Media Soc..

[32]  Michael A. Stanko,et al.  Lead Users and Early Adopters on the Web: The Role of New Technology Product Blogs* , 2010 .

[33]  M. Meuter,et al.  Self‐service technology adoption: comparing three technologies , 2005 .

[34]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[35]  V. E. Erosa Technology illiteracy in retail SMES: Exploring late adopters characteristics , 2009, PICMET '09 - 2009 Portland International Conference on Management of Engineering & Technology.

[36]  C. Bulte New Product Diffusion Acceleration: Measurement and Analysis , 2000 .

[37]  Katrijn Gielens,et al.  Drivers of consumer acceptance of new packaged goods: An investigation across products and countries , 2007 .

[38]  Knut Boge,et al.  MOBILE COMMERCE - WHO ARE THE POTENTIAL CUSTOMERS? , 2001 .

[39]  T. C. Edwin Cheng,et al.  Adoption of internet banking: An empirical study in Hong Kong , 2006, Decis. Support Syst..

[40]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[41]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[42]  Daniel J. Brass,et al.  POTENTIAL POWER AND POWER USE: AN INVESTIGATION OF STRUCTURE AND BEHAVIOR , 1993 .

[43]  L. Flynn,et al.  Opinion leaders and opinion seekers: Two new measurement scales , 1996 .

[44]  Robert J. Kauffman,et al.  Understanding early diffusion of digital wireless phones , 2009 .

[45]  S. Lonie,et al.  M-PESA: Mobile Money for the Unbanked Turning Cellphones into 24-Hour Tellers in Kenya , 2007, Innovations: Technology, Governance, Globalization.

[46]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[47]  D. Midgley,et al.  Innovativeness: The Concept and Its Measurement , 1978 .

[48]  J. Bartels,et al.  Consumer innovativeness and its correlates: A propositional inventory for future research , 2011 .

[49]  Ángel L. Meroño-Cerdán,et al.  Drivers of Mobile Application Acceptance by Consumers: A Meta Analytical Review , 2014, Int. J. E Serv. Mob. Appl..

[50]  Vijay Mahajan,et al.  Determination of Adopter Categories by Using Innovation Diffusion Models , 1990 .

[51]  A. Vishwanath Impact of personality on technology adoption: An empirical model , 2005, J. Assoc. Inf. Sci. Technol..

[52]  W. Bearden,et al.  Consumer Innovativeness and the Adoption Process , 1995 .