Do I have to learn something new? Mental models and the acceptance of replacement technologies

Few studies in technology acceptance have explicitly addressed the acceptance of replacement technologies, technologies that replace legacy ones that have been in use. This article explores this issue through the theoretical lens of mental models. We contend that accepting replacement technologies entails both mental model maintenance and mental model building: mental model maintenance enables users to apply their knowledge of the legacy technologies, and mental model building helps users acquire new knowledge and reform their understanding to use replacement technologies. Both processes affect user perceptions about replacement technologies, which in turn affect user intentions to use them. In addition, this study explores how perceived compatibility between replacement and legacy technologies affects both mental model processes. A research model was developed and empirically tested with survey data. The results in general support our arguments. Based on the findings, we offer a few suggestions that can promote user acceptance of replacement technologies.

[1]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[2]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[3]  Jean C. Bedard,et al.  The effect of training on auditors' acceptance of an electronic work system , 2003, Int. J. Account. Inf. Syst..

[4]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[5]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[6]  J. Hal Reneau,et al.  The Effects of Memory Structure on Using Rule‐Based Expert Systems for Training: A Framework and an Empirical Test* , 1990 .

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

[8]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[9]  R. Weisberg,et al.  Following the wrong footsteps: fixation effects of pictorial examples in a design problem-solving task. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[10]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[11]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[12]  Subhasish Dasgupta,et al.  User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model , 2002 .

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

[14]  Wanda J. Orlikowski,et al.  Technological frames: making sense of information technology in organizations , 1994, TOIS.

[15]  Robert C. Mathews,et al.  Interactions between Mental Models Used in Categorization and Experiential Knowledge of Specific Cases , 1996 .

[16]  Fred D. Davis,et al.  Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition , 2003, Inf. Syst. Res..

[17]  Niels Ole Bernsen,et al.  MENTAL MODELS IN HUMAN-COMPUTER INTERACTION , 2010 .

[18]  John C. Henderson,et al.  Strategic Alignment: Leveraging Information Technology for Transforming Organizations , 1993, IBM Syst. J..

[19]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[20]  Steve G. Sutton,et al.  The changing face of accounting in an information technology dominated world , 2000, Int. J. Account. Inf. Syst..

[21]  Mike Hart,et al.  The Impact of Cognitive and other Factors on the Perceived Usefulness of OLAP , 2004, J. Comput. Inf. Syst..

[22]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[23]  Matthias Rauterberg,et al.  Learning in man-machine systems: the measurement of behavioural and cognitive complexity , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[24]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

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

[26]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[27]  P. Schaik,et al.  Mental Models and Lifelong Learning , 1998 .

[28]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[29]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

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

[31]  Robert A. R. Parker.  A-Model for the , 1967 .

[32]  J. Hair.  Multivariate data analysis , 1972 .

[33]  James P. Walsh,et al.  Selectivity and selective perception: An investigation of managers''belief structures and informatio , 1988 .

[34]  Stephan Dutke,et al.  Evaluation of two types of online help for application software , 2008, J. Comput. Assist. Learn..

[35]  Chris Higgins,et al.  Information Acquisition and Mental Models: An Investigation into the Relationship Between Behaviour and Learning , 1996, Inf. Syst. Res..

[36]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[37]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[38]  Moez Limayem,et al.  E-Mail and V-Mail Usage: Generalizing Across Technologies , 2000, J. Organ. Comput. Electron. Commer..

[39]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[40]  Robert P. Bostrom,et al.  MIS Problems and failures: a sociotechnical perspective part I: the cause , 1977 .

[41]  M Mili Docampo Rama,et al.  Technology generations handling complex user interfaces , 2001 .

[42]  Wanda J. Orlikowski,et al.  Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations , 2000, Theory in CSCW.

[43]  Thomas R. G. Green.  Limited theories as framework for human-computer interaction , 1987, Informatics and Psychology Workshop.

[44]  Donald A. Norman,et al.  Some observations on mental models , 1987 .

[45]  Gaea Leinhardt,et al.  Maps as Representations: Expert Novice Comparison of Projection Understanding , 2002 .

[46]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[47]  Jane M. Howell,et al.  Transformational leadership, transactional leadership, locus of control, and support for innovation: key predictors of consolidated-business-unit performance , 1993 .

[48]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

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

[50]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[51]  Fred D. Davis,et al.  Modeling the Determinants of Perceived Ease of Use , 1994, ICIS.

[52]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[53]  Elizabeth S. Charles,et al.  Acquisition of Complex Systemic Thinking: Mental Models of Evolution , 2004 .

[54]  W. Brewer.  Schemas versus mental models in human memory. , 1987 .

[55]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

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

[57]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[58]  R. Young.  Surrogates and mappings: two kinds of conceptual models for interactive , 1983 .

[59]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[60]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[61]  Oscar Gutierrez,et al.  Information technology acceptance in the social services sector context: an exploration. , 2007, Social work.

[62]  Chorng-Shyong Ong,et al.  Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies , 2004, Inf. Manag..