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THEORY OF REASONED ACTION (TRA)

                      Aravind Sesagiri Raamkumar
AGENDA
   Example

   Introduction

   Development of Theory

   Usage in IS

   Discussion
LETS START WITH A REAL WORLD EXAMPLE
COMPONENTS
    Attitude towards
         behavior


                                Intentions for
                                                         Behavior
                                   behavior



       Subjective
        Norms



   Dependent Variables            Independent Variables
    Behavior                      Attitude towards the behavior
    Intentions for behaviors      Subjective Norms or Normative Beliefs
                                   Intentions for behaviors
BACKGROUND
   Domain: Social Psychology

   Base Theory: Dulany’s Theory of Propositional
    Control(1968)

   Objective: To establish relationship between
    attitude and overt behavior

   Main Contributors: Icek Ajzen and Martin
    Fishbein

   Period of Work: 1965-1980s
MAIN PAPERS
   Ajzen, I., & Fishbein, M. (1973). Attitudinal
    and normative variables as predictors of
    specific behavior. Journal of Personality and
    Social Psychology, 27(1), 41-57.

   Fishbein, M., & Ajzen, I. (1975). Belief,
    attitude, intention, and behavior : An
    introduction to theory and research. Reading,
    Mass. ; Don Mills, Ontario: Addison-Wesley
    Pub. Co
THE THEORY

              B ≈ BI = (w1)AB + (w2)SN
  B -> Behavior | BI -> Behavioral Intention | AB -> Attitude towards behavior
  SN -> Subjective Norms | W1 -> Weight for AB | W2 -> Weight for SN
STEP BY STEP VERIFICATION WITH EMPIRICAL DATA

  Step 1: Behavior (B) and Behavioral Intentions (BI)

      • Experiment: Prisoner’s Dilemma based games with two persons

      • Motivational Orientations: Competitive, Cooperative or Individualistic

      • Correlation of 0.822 (p < 0.001) between B and BI over 20 trails

      • Confirmatory findings from other researchers- Hornik (1970) & Darroch

        (1971)

  Constraints
  1. The measurement of intentions needs to be taken in close proximity to the
     behavior
  2. Mediating variables can cause changes in behaviors independent of measured
     intentions
STEP BY STEP VERIFICATION WITH EMPIRICAL DATA
 Step 2 and Step 3: Attitude & Normative Beliefs with Behavioral Intentions

     • Same set of experiments

     • AB was measures by rating the behavior in question using semantic

        differential scales

     • SN or NB was measured by a direct question concerning expectations of

        others

     • Average correlation was found to be 0.808 -> High predictive value

     • Attitudinal component (AB)has more influence than normative beliefs(NB)
 Constraints
 Prediction of B varies based on 1) Type of Behavior 2) Situation 3) Individual
 Difference between the actors
STATISTICAL ANALYSIS
OTHER FACTORS
   Beliefs play an important role in Attitude
    formation
       Existence of a circular loop between behavior to
        belief


   External variables don’t’ directly cause changes
    in intentions rather it is through AB and SN

   General attitude towards an object is a
    summation of the attitudes related to different
    behaviors related to the particular object
ISSUES WITH THE THEORY

 Only works when the individual has volitional
  control
 Difficulty in differentiating attitudes and social
  norms
 Doesn’t take factors such as skills,
  unconscious habits and restricted
  environment into account
SUCCESSORS TO THE THEORY
   Theory of Planned Behavior(TPB)




   Technology Acceptance Model(TAM)




   Unified Theory of Acceptance and Use of Technolog
USAGE OF TRA IN IS
   Mainly used in studies related to user intentions

   Examples:
     Consumer online grocery buying intention (2004)
     Study of students’ interest in IS career (2011)
     Study of Social Networking Behavior (2012)



   Methodology of usage
       Check if the TRA model fits the problem space
          Factor   analysis
       Take the measurements and use them for prediction
          Structural   Equation Modeling
DISCUSSION

Where can we use this model?
     TRA  model finds application if the problem space
      involves understanding and changing the
      behavior of users
     Most studies try to compare TRA, TPB and TAM
      and see which model performs fits and performs
      better
   Conversion of conceptual variables into
    measurable variables can be tricky
Q&A…
Consumer online grocery buying intention (2004)




                                            Home
Consumer online grocery buying intention (2004)




                                            Home
Study of Social Networking Behavior (2012)




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Theory of Reasoned Action

  • 1. THEORY OF REASONED ACTION (TRA) Aravind Sesagiri Raamkumar
  • 2. AGENDA  Example  Introduction  Development of Theory  Usage in IS  Discussion
  • 3. LETS START WITH A REAL WORLD EXAMPLE
  • 4. COMPONENTS Attitude towards behavior Intentions for Behavior behavior Subjective Norms Dependent Variables Independent Variables  Behavior  Attitude towards the behavior  Intentions for behaviors  Subjective Norms or Normative Beliefs  Intentions for behaviors
  • 5. BACKGROUND  Domain: Social Psychology  Base Theory: Dulany’s Theory of Propositional Control(1968)  Objective: To establish relationship between attitude and overt behavior  Main Contributors: Icek Ajzen and Martin Fishbein  Period of Work: 1965-1980s
  • 6. MAIN PAPERS  Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27(1), 41-57.  Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior : An introduction to theory and research. Reading, Mass. ; Don Mills, Ontario: Addison-Wesley Pub. Co
  • 7. THE THEORY B ≈ BI = (w1)AB + (w2)SN B -> Behavior | BI -> Behavioral Intention | AB -> Attitude towards behavior SN -> Subjective Norms | W1 -> Weight for AB | W2 -> Weight for SN
  • 8. STEP BY STEP VERIFICATION WITH EMPIRICAL DATA Step 1: Behavior (B) and Behavioral Intentions (BI) • Experiment: Prisoner’s Dilemma based games with two persons • Motivational Orientations: Competitive, Cooperative or Individualistic • Correlation of 0.822 (p < 0.001) between B and BI over 20 trails • Confirmatory findings from other researchers- Hornik (1970) & Darroch (1971) Constraints 1. The measurement of intentions needs to be taken in close proximity to the behavior 2. Mediating variables can cause changes in behaviors independent of measured intentions
  • 9. STEP BY STEP VERIFICATION WITH EMPIRICAL DATA Step 2 and Step 3: Attitude & Normative Beliefs with Behavioral Intentions • Same set of experiments • AB was measures by rating the behavior in question using semantic differential scales • SN or NB was measured by a direct question concerning expectations of others • Average correlation was found to be 0.808 -> High predictive value • Attitudinal component (AB)has more influence than normative beliefs(NB) Constraints Prediction of B varies based on 1) Type of Behavior 2) Situation 3) Individual Difference between the actors
  • 11. OTHER FACTORS  Beliefs play an important role in Attitude formation  Existence of a circular loop between behavior to belief  External variables don’t’ directly cause changes in intentions rather it is through AB and SN  General attitude towards an object is a summation of the attitudes related to different behaviors related to the particular object
  • 12. ISSUES WITH THE THEORY  Only works when the individual has volitional control  Difficulty in differentiating attitudes and social norms  Doesn’t take factors such as skills, unconscious habits and restricted environment into account
  • 13. SUCCESSORS TO THE THEORY  Theory of Planned Behavior(TPB)  Technology Acceptance Model(TAM)  Unified Theory of Acceptance and Use of Technolog
  • 14. USAGE OF TRA IN IS  Mainly used in studies related to user intentions  Examples:  Consumer online grocery buying intention (2004)  Study of students’ interest in IS career (2011)  Study of Social Networking Behavior (2012)  Methodology of usage  Check if the TRA model fits the problem space  Factor analysis  Take the measurements and use them for prediction  Structural Equation Modeling
  • 15. DISCUSSION Where can we use this model?  TRA model finds application if the problem space involves understanding and changing the behavior of users  Most studies try to compare TRA, TPB and TAM and see which model performs fits and performs better  Conversion of conceptual variables into measurable variables can be tricky
  • 17. Consumer online grocery buying intention (2004) Home
  • 18. Consumer online grocery buying intention (2004) Home
  • 19. Study of Social Networking Behavior (2012) Home