Coppers context, and conjoints: a reassessment of TAM

This study examines the role and explanatory value of context-, task- and information-related characteristics vis-a-vis individual characteristics in relation with respect to the adoption of mobile technologies and applications. We combine insights from adoption and acceptance literature with media choice and task-technology fit theories. These insights are applied to a case in which police officers use mobile communication tools and information technologies. Officers were asked which mobile applications they preferred to use in specific situations (contexts) and for specific tasks. In a structural equation model focusing exclusively on individual TAM-related characteristics, such as perceived usefulness and perceived ease of use, as well as on a generic media fit concept, the explanatory value of these concepts turns out to be high. We extend our study, based on Ajzen and Madden (1986) by arguing that, in addition to personal characteristics, contextual characteristics, in combination with task-related characteristics, play an important role in people's preferences for specific technologies. Conjoint analysis focusing on contextual and task-related characteristics yields relevant insights. When context-related and individual characteristics are combined into a single hierarchical linear model, the significance of the concepts used in TAM turns out to be low, while context-related issues stand out. On the basis of our research, we conclude that TAM models are too generic to fully explain people's intention to use mobile technologies. Future research should aim at developing models that take contextual and task-related factors into account when studying mobile applications.

[1]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

[2]  Mark Srite,et al.  A Research Model for Mobile Phone Service Behaviors: Empirical Validation in the U.S. and Turkey , 2005 .

[3]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

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

[5]  John D'Ambra,et al.  Computer-mediated communication and media preference: An investigation of the dimensionality of perceived task equivocality and media richness , 1998, Behav. Inf. Technol..

[6]  Steve Sawyer,et al.  Beliefs about Computing: Contrary Evidence from a Study of Mobile Computing Use among Criminal Justice Personnel , 2005, Designing Ubiquitous Information Environments.

[7]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[8]  A. Tenbrunsel,et al.  Organizational Behavior and Human Decision Processes , 2013 .

[9]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[10]  Gerardine DeSanctis,et al.  Understanding the use of Group Decision Support Systems: The Theory of Adaptive Structuration , 1990 .

[11]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[12]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[13]  Harry Bouwman,et al.  eCommerce B2C Research in Context: Policy Capturing, Channel Choice and Customer Value , 2003, Bled eConference.

[14]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[15]  Harry Bouwman,et al.  Information and communication technology in organizations , 2005 .

[16]  Jordan J. Louviere,et al.  Analyzing Decision Making , 1988 .

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

[18]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[19]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[20]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[21]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

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

[23]  Rich Ling,et al.  Mobile end-user service adoption studies : A selective review , 2002 .

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

[25]  R. Daft,et al.  Information Richness. A New Approach to Managerial Behavior and Organization Design , 1983 .

[26]  Gina Green,et al.  Gender Differences in Perceptions and Use of Communication Technologies: A Diffusion of Innovation Approach , 2005, Inf. Resour. Manag. J..

[27]  Carsten Sørensen,et al.  Tales from the police: Rhythms of interaction with mobile technologies , 2005, Inf. Organ..

[28]  Jaap Hoogenboezem,et al.  Coping with targets: performance measurement in The Netherlands police , 2005 .

[29]  Carsten Sørensen,et al.  On Mobile Technology in Context: Exploring Police Work , 2004 .

[30]  W. Orlikowski,et al.  Windows of Opportunity: Temporal Patterns of Technological Adaptation in Organizations , 2011 .

[31]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[32]  Jordan J. Louviere,et al.  Analyzing Decision Making: Metric Conjoint Analysis , 1988 .

[33]  M.G.D. Steen,et al.  The Fragility of Human-Centred Design , 2008 .

[34]  J. Walther.  Interpersonal Effects in Computer-Mediated Interaction , 1992 .

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

[36]  Michael Amberg,et al.  The Compass Acceptance Model for the analysis and evaluation of mobile services , 2004, Int. J. Mob. Commun..

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

[38]  Janet Fulk,et al.  Organizational Colleagues, Media Richness, and Electronic Mail , 1991 .

[39]  Harry Bouwman,et al.  Content and context: an exploration of the basic characteristics of information needs , 2002, New Media Soc..

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

[41]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[42]  John R. Carlson,et al.  Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions , 1999 .

[43]  Dianne Cyr,et al.  Design aesthetics leading to m-loyalty in mobile commerce , 2006, Inf. Manag..

[44]  M.H.P. Kleijnen,et al.  Consumer adoption of wireless services: Discovering the rules, while playing the game , 2004 .

[45]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[46]  A. Gustafsson,et al.  Conjoint Analysis as an Instrument of Market Research Practice , 2000 .

[47]  I. Ajzen.  The theory of planned behavior , 1991 .

[48]  C. Steinfield,et al.  A Social Influence Model of Technology use , 1990 .

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

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

[51]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

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

[53]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[54]  Eje Eric Molin.  Conjoint modeling approaches for residential group preferences , 1999 .

[55]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[56]  Timothy J. Robinson,et al.  Multilevel Analysis: Techniques and Applications , 2002 .