Monday, 21 September 2015

Evaluation of IT research articles which apply stimulus-organism-response (S-O-R) model in conducting user behavior or perceptions

Name of Theory
  • Stimulus-organism-response (S-O-R) model
Brief description of theory
  • The SOR model is overarching in environmental psychology to understand 
    • the formation of emotions when Individuals are exposed to various environmental stimuli
    • cognitive reactions of individuals that influence privacy decision making
    • the impacts these two factors have on consumers’ privacy behavioural intention (Li, Sarathy, & Xu, 2011). 

Paper 1: The role of affect and cognition on online customers' decision to disclose personal information to unfamiliar online vendors

Independent constructs (independent variables) 
  • Joy
  • Fear
  • Perceived relevance of information
  • Awareness of privacy statement
  • General privacy concern
  • Privacy protection belief
  • Privacy risk belief

Dependent constructs (dependent variables)
  • Behavioural intention
What is the paper about?
  • To identify affective and cognitive reactions of online customers by using both the privacy calculus framework and the stimulus-organism-response (S-O-R) model
  • To investigate privacy belief that is concerned with exchanging customers' information to online vendor for each transaction
  • To measure initial emotions obtained from an overall impression of a website
How it uses the theory?
  • The paper apply S-O-R model where:
    • Online privacy content, characteristics of website, the types of information surfed by the customers from website and privacy policy on the website represented as Stimuli
    • Emotional responses are represented as affective reactions
    • Customers' opinion upon website's privacy are represented as cognitive reactions
Research method(s) used in the paper
  • Survey (using experiment website)

Paper 2: The impact of online store environment cues on purchase intention

Independent constructs (independent variables) 

  • Technical adequacy
  • Content quality
  • Special content
  • Appearance
  • Web site awareness
  • Web site image
Mediating variables
  •  Trust
  •  Perceived risk
Dependent constructs (dependent variables) 
  • Website brand
  • Website quality
  • Purchase intention (response)
Control variables
  • Trust propensity
  • Risk propensity
Extraneous variables
  • Web Quality
  • Users' internet experience
  • Type of web site 
  • Incentive programmes
What is the paper about?
  • To assess how the a website's quality and brand will influence a customer's risk aversion towards an online shopping site and if this is derived from the buyers' trust and perceived risk. 
  • To identify which aspects of the website has a greater impact on affecting consumers' trust and perceived risk. 
  • To determine the extent to which consumers' trust and perceived risk influences the online shopping business.
How it uses the theory?

                                                 (Hsin Hsin & Su Wen, 2011) 
The paper apply S-O-R model where:
  • Stimulus refers to the online environmental ques taken from Website quality and Website brand (e.g. Website design, layout, hyperlinks, icons, color scheme, etc.)
  • Organism refers to the cognitive and affective state of the user which relates to trust and perceived risk
  • Response refers to the outcome which leads to purchase intention
Research method(s) used in the paper
  • Web-based Survey 
  • Correlational 
  • Questionnaires
  • Pilot Test
  • Internet/Web-based Survey
References
Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434-445. doi:10.1016/j.dss.2011.01.017
Available full research article at: http://bit.ly/1MnCDrQ

Hsin Hsin, C., & Su Wen, C. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818-841.

Available full research article at: http://bit.ly/1V7kXTp