This document presents a research study on the adoption of e-commerce among Chilean small and medium-sized enterprises (SMEs) using the Theory of Planned Behavior (TPB). It outlines a quantitative approach, detailing hypotheses and methodologies including regression and correlation analyses based on surveys conducted among SME managers. The findings suggest that direct measures of TPB constructs significantly predict intentions to adopt e-commerce, while also addressing limitations and future research directions.

1. Course: International Information System / Lecturer: Prof. KALA
Authors: Suzanne ALTOBELLO NASCO; Elizabeth GRANDON TOLEDO; Peter P. MYKYTYN
Presented by:
AKOSON Henry A.
AKUM Dieudonel
ANYE A. AZAH
DJAKPOUNGANSOP Patrick Raoul

2. Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

3. Can the TPB
constructs be used
to predict the
intension to adopt
e-commerce
among chilean
SMSEs ?
Research
question
The lack of research in
this domain
The need of theories
with respect to e-
commerce adoption
The need to develop a
quantitative approach
to e-commerce
adoption
Justification
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

4. Do the direct measures of the TPB constructs significantly predict
intension to adopt e-commerce by SMEs in Chile ?
Do the TPB indicators relate significantly to its’ corresponding direct
measures ?
Do the indirect measures of TPB construct significantly predict
intension to e-commerce adoption ?
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

5. H1.
• Direct measures of the TPB construct significantly predict
intensions to adopt e-commerce by SMEs in Chile
H1a-b.
• Each TBP construct has a significant and positive linear
relationship with the intention to adopt e-commerce
H2.
• The TPB’s indicators relate significantly to thier
corresponding direct measures
H3.
• The indirect measures of TPB constructs significantly
predict intension to e-commerce adoption
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

6. Theories models Authors Principle Constructs
Theory of
Planned Behavior
(TPB)
AJZEN (1991) An intention model
that predicts and
explains a variety of
behaviors
Attitude
Subjective norm
Perceived
behavioral control
Theory of
Reasoned Action
(TRA)
AJZEN & FISHBEIN
(1980)
PAVLOU & FYGENSON
(2006)
Intenstion is
determine by the
individual’s attitude,
and subjective
norms, the
perceived social
pressure to perform
or not the behavior
Attitude
Subjective norm
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

7. Method of analysis
• Regression analysis (H1. H 3.)
• Correlation analysis (H2)
Data collection tools
• Written survey to a sample of 130 small firms (10-200 employees)
• Internet survey (respondents: 28 managers)
• Questionnaires given out to 1100 small businesses with a 20.27%
response rate
Populations of interest
• Managers and Owners of SMEs in Chile
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

8. • Direct and indirect measures of TPB constructs
could significantly predict the intention to
adopt e-commerce (H1, H3)
• H1 a-b are strongly supported while (c) is not
supported
• Direct and indirect measures of TPB constructs
are sgnificantly correlated (H2)
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

9. Indirect, belief-based
measures of the TPB
Limitation & future research Contribution of the study
• Attitude doesn’t significantly
predict intention
• Difficulties to accomplished
longitudinal study on
behaviour
• It enhances our
undertansding of specific
believes that influences
managers decision
• Low correlationsship
between direct and indirect
measures
• Regression analyses do not
control measurement error
• This work acts as a stimulus
to other countries
It creates awareness among
managers
• It might demonstrate the
difficulty to operationalize this
construct in developing
countries
• Bridges the gap in IT
researchs among SMEs
H1c not validated because of
cultural differences
H1b shows a stronger predictive
power
Research Question Problem Statments Hypotheses Theorical Models Discus/ConclusionMethodology Results

10. Thank You For Your kind attention !