What Are Your Intentions: An Empirical Analysis of the Distinction between Behavioral Intentions and Behavioral Goals?

This study analyzes the distinction, both conceptually and operationally, between behavioral intentions and behavioral goals. This paper recognizes the importance of time orientation in the measurement of behavioral intentions as defined by Fishbein and Ajzen [1]. Literature is reviewed that shows this conceptual definition is often misused in information systems (IS) research because behavioral intention is sometimes operationalized with a long-term time orientation (i.e., continued use). This paper offers an empirical assessment of the discriminant validity between behavioral intentions and behavioral goals. Theoretical implications are that long-term oriented behavioral intentions actually represents behavioral goals and thus have less conceptual implications for predicting actual behavior.

[1]  Henry C. Lucas,et al.  Implementation in a world of workstations and networks , 2000, Inf. Manag..

[2]  Varun Grover,et al.  The Role of System Trust in Business-to-Consumer Transactions , 2003, J. Manag. Inf. Syst..

[3]  Chao-Min Chiu,et al.  Internet self-efficacy and electronic service acceptance , 2004, Decis. Support Syst..

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

[5]  Fred D. Davis,et al.  Disentangling behavioral intention and behavioral expectation , 1985 .

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

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

[8]  Dennis F. Galletta,et al.  Software Piracy in the Workplace: A Model and Empirical Test , 2003, J. Manag. Inf. Syst..

[9]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[10]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[11]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[12]  Kenneth A. Kozar,et al.  The Impact of Computer Alienation on Information Technology INvestment Decisions: An Exploratory Cross-National Analysis , 1995, MIS Q..

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

[14]  Subhasish Dasgupta,et al.  Modeling use of enterprise resource planning systems: a path analytic study , 2003, Eur. J. Inf. Syst..

[15]  Rolph E. Anderson,et al.  Multivariate data analysis with readings (2nd ed.) , 1986 .

[16]  Fred D. Davis,et al.  Investigating Determinants of Software Developers' Intentions to Follow Methodologies , 2003, J. Manag. Inf. Syst..

[17]  Cynthia K. Riemenschneider,et al.  Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests , 1997, Inf. Syst. Res..

[18]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..

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

[20]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[21]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[22]  H. Aarts,et al.  Positive affect as implicit motivator: on the nonconscious operation of behavioral goals. , 2005, Journal of personality and social psychology.

[23]  Marco Perugini,et al.  Predicting and understanding behavioral volitions: the interplay between goals and behaviors , 2000 .

[24]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[25]  K. Jöreskog,et al.  Intraclass Reliability Estimates: Testing Structural Assumptions , 1974 .

[26]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[27]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[28]  Edward J. Garrity,et al.  An experimental investigation of web-based information systems success in the context of electronic commerce , 2005, Decis. Support Syst..

[29]  B. Byrne,et al.  TEACHER'S CORNER: The MACS Approach to Testing for Multigroup Invariance of a Second-Order Structure: A Walk Through the Process , 2006 .

[30]  Yoris A. Au Design Science I: The Role of Design Science in Electronic Commerce Research , 2001, Commun. Assoc. Inf. Syst..

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

[32]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

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

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

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

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

[37]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

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

[39]  Ritu Agarwal,et al.  The antecedents and consequents of user perceptions in information technology adoption , 1998, Decis. Support Syst..

[40]  Marcel Creemers,et al.  Understanding online purchase intentions: contributions from technology and trust perspectives , 2003, Eur. J. Inf. Syst..

[41]  Albert H. Segars,et al.  Assessing the unidimensionality of measurement : a paradigm and illustration within the context of information systems research , 1997 .

[42]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

[43]  M. Perugini,et al.  The role of desires and anticipated emotions in goal-directed behaviours: broadening and deepening the theory of planned behaviour. , 2001, The British journal of social psychology.

[44]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[45]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

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

[47]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

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

[49]  Barbara M. Byrne,et al.  The MACS approach to testing for multigroup invariance of a second-order structure , 2006 .

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

[51]  Joseph S. Valacich,et al.  The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively , 2009, Inf. Syst. Res..

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

[53]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[54]  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..

[55]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[56]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

[57]  Fred D. Davis,et al.  The Accuracy of Behavioral Intention Versus Behavioral Expectation for Predicting Behavioral Goals , 1985 .

[58]  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..

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

[60]  Alan R. Dennis,et al.  CONDUCTING RESEARCH IN INFORMATION SYSTEMS , 2001 .

[61]  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..

[62]  Honglei Li,et al.  Technology acceptance model for internet banking: an invariance analysis , 2005, Inf. Manag..

[63]  Richard T. Watson,et al.  WebQual: An Instrument for Consumer Evaluation of Web Sites , 2007, Int. J. Electron. Commer..

[64]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[65]  Viswanath Venkatesh,et al.  A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges , 2001, MIS Q..

[66]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[67]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[68]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

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

[70]  Diane M. Strong,et al.  Perceived critical mass effect on groupware acceptance , 2000, Eur. J. Inf. Syst..

[71]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[72]  Cynthia K. Riemenschneider,et al.  Understanding it adoption decisions in small business: integrating current theories , 2003, Inf. Manag..

[73]  Viswanath Venkatesh,et al.  User acceptance of information technology : a unified view , 1998 .

[74]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[75]  Joseph E. McGrath,et al.  Dilemmatics: The Study of Research Choices and Dilemmas , 1981 .