This document provides an overview of attitude formation and change based on high consumer effort. It discusses key topics including the cognitive and affective foundations of attitudes, how cognitively and affectively based attitudes are influenced, attitude toward ads, and when attitudes predict behavior. The overview covers analytical processes of attitude formation like the cognitive response model and expectancy-value models. It also examines how message characteristics and source credibility can impact cognitively based attitudes.
Overview of Consumer Behaviour
Understanding Consumer Behavior- Meaning and Concept of Consumer and Customer, Consumer Learning,
Different Models in Consumer Behavior, Consumer Decision making process-Concept of Consumer Decision;
Levels of Consumer Decision Making; Consumer Decision Making Model, Changing Indian Consumer
Behavior-Drivers of Change; Changing Consumer Trends; Rural Consumer Behavior; New Consumption
Patterns, Organisational Buying Behaviour
Overview of Consumer Behaviour
Understanding Consumer Behavior- Meaning and Concept of Consumer and Customer, Consumer Learning,
Different Models in Consumer Behavior, Consumer Decision making process-Concept of Consumer Decision;
Levels of Consumer Decision Making; Consumer Decision Making Model, Changing Indian Consumer
Behavior-Drivers of Change; Changing Consumer Trends; Rural Consumer Behavior; New Consumption
Patterns, Organisational Buying Behaviour
Reasons Primary Teachers Give About Teaching Mathematical Problem Solving: A ...Prince Armah, PhD
Since the 1980s, problem solving has been considered the central theme of school mathematics as students are now required to develop investigational and problem solving skills. But teachers’ beliefs regarding teaching mathematical problem solving has been questioned. These beliefs, mediated by intentions, have also been noted as precursors to any shift from the traditional show and tell approach towards teaching mathematical problem solving. However, little research has addressed teachers’ beliefs and intention to teach mathematics problem solving in primary schools. Particularly, research about mathematics teachers’ attitudes, subjective norms, and perceived behavioural control beliefs relative to teaching mathematics problem solving in primary schools remains sparse. This study, which is part of a larger project, begins a line of research investigating the behavioral intentions of primary teachers to teaching mathematical problem solving. The purpose study was to investigate primary school teachers’ salient behavioural, normative and control beliefs regarding the teaching problem solving using the Ajzen’s (1991) Theory of Planned Behavior. The study reports on an elicitation study with a diverse sample of 50 primary teachers from six private and public schools from a municipality in the Central Region of Ghana. The participants responded to nine open-ended survey questions designed following Ajzen’s (1991) Theory of Planned Behaviour. In general, the study suggests that participating school teachers believe there are benefits to teaching mathematical problem solving. However, limited resources (time, teaching and learning materials), language and class level present substantial barriers to teaching mathematical problem solving in the primary schools. Specific suggestions for addressing teachers’ beliefs about teaching MPS are recommended.
Reasons Primary Teachers Give About Teaching Mathematical Problem Solving: A ...Prince Armah, PhD
Since the 1980s, problem solving has been considered the central theme of school mathematics as students are now required to develop investigational and problem solving skills. But teachers’ beliefs regarding teaching mathematical problem solving has been questioned. These beliefs, mediated by intentions, have also been noted as precursors to any shift from the traditional show and tell approach towards teaching mathematical problem solving. However, little research has addressed teachers’ beliefs and intention to teach mathematics problem solving in primary schools. Particularly, research about mathematics teachers’ attitudes, subjective norms, and perceived behavioural control beliefs relative to teaching mathematics problem solving in primary schools remains sparse. This study, which is part of a larger project, begins a line of research investigating the behavioral intentions of primary teachers to teaching mathematical problem solving. The purpose study was to investigate primary school teachers’ salient behavioural, normative and control beliefs regarding the teaching problem solving using the Ajzen’s (1991) Theory of Planned Behavior. The study reports on an elicitation study with a diverse sample of 50 primary teachers from six private and public schools from a municipality in the Central Region of Ghana. The participants responded to nine open-ended survey questions designed following Ajzen’s (1991) Theory of Planned Behaviour. In general, the study suggests that participating school teachers believe there are benefits to teaching mathematical problem solving. However, limited resources (time, teaching and learning materials), language and class level present substantial barriers to teaching mathematical problem solving in the primary schools. Specific suggestions for addressing teachers’ beliefs about teaching MPS are recommended.
Consumer behaviour is the study of how individual customers, groups or organizations select, buy, use, and dispose ideas, goods, and services to satisfy their needs and wants. It refers to the actions of the consumers in the marketplace and the underlying motives for those actions.
Behavioral Econ 101 for Product Design - Action Design DC 12 August 2014Stephen Wendel
Stephen Wendel's & Zarak Khan's presentation at Action Design DC on 12 August 2014, giving an introduction to behavioral economics and how it can be applied to product design.
This study will help in learning consumer behavior by studying different types of attitude of a consumer and it also includes different types of model to study consumer attiude.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
2. A Model of Information Processing
Exposure,
Attention
Perception Understanding Outcome:
Attitudes
sensations information
Memory / Prior Knowledge
Individual
Consumer
Environmental
Characteristics
Stimuli
beliefs
4. Chapter Overview
What Are Attitudes?
Forming and Changing Attitudes
The Cognitive Foundations of Attitudes
How Cognitively Based Attitudes Are Influenced
The Affective Foundations of Attitudes
How Affectively Based Attitudes Are Influenced
Attitude Toward the Ad
When Do Attitudes Predict Behavior?
4
5. What are Attitudes?
5
An overall evaluation (like / dislike) of an object,
issue, person, or action.
Learned
Enduring
Importance of Attitudes
Cognitive: thoughts
Affective: feelings
Connative: behaviors
6. Characteristics of Attitudes
6
Favorability
Accessibility
Confidence
Persistence
Resistance to attack
Ambivalence
“I like it a lot.”
“I can remember my attitude easily.”
“I’m sure I like it.”
“I’ve liked it for a long time and will
continue to like it.”
“I’ll like it no matter what anyone
says about it.”
“I like and hate it at the same time”
7. Overview of Attitudes
7
Foundation of Attitudes
Cognition: thoughts
Affect: emotions
Role of Effort in Attitude Formation
High effort:
Central-route processing: careful and effortful analysis of the central issues
Low effort:
Peripheral-route processing: rely on superficial cues contained in the message
Attitude Formation and Change based on
Cognitive vs. affective
Message vs. source
9. Cognitive Foundations of Attitudes
9
Direct or Imagined Experience
Elaborating on actual experience
Reasoning by Analogy or Category
How similar a products to other products
Values-Driven Attitudes
How the products conform to your values
Social Identity-Based Attitude Generation
How you can express your social identity
Analytical Processes of Attitude Formation
10. Analytical Processes of Attitude Formation
10
The Cognitive Response Model
Consumers’ thought reactions to a message affect their attitudes
Expectancy-Value Models
Consumers form and change attitudes based on:
Existing beliefs / knowledge about an object or action
Evaluations of these beliefs
11. The Cognitive Response Model
11
Suppose Person X said Brand A is good
Counterarguments
◦ “But I know Brand A is not good”
Support Arguments
◦ “Yes I heard Brand A is indeed good”
Source Derogations
◦ “Person X doesn’t know anything / cannot be trusted.”
12. Fishbein's Multiattribute Model of Attitudes
12
MODEL: A = Σ biei
A= Attitude towards the object o
bi = extent of belief that o possesses attribute i
ei = evaluation of attribute i
So, get relevant attributes for a product, (depth interview)
measure b's and e's and get A
This is what you are using for your project!
13. Evident difference between the Fishbein model and
the multi-attribute model you saw earlier
13
Remember: multiattribute model Summation (biIi)
Ii in multiattribute model is the importance of the attribute positive number (e.g., from 1 to 7)
ei in Fishbein model is the evaluation of the attribute can be either positive or negative (e.g., from
-3 to +3)
For a soft drink, both Mr. A and Mr. B may say that sweetness is an important attribute but for two
different reasons:
Mr. A wants low sweetness but Mr. B wants high sweetness
Therefore, the scales used to measure ei usually range from a negative value to a positive value; e.g.,
-3 to +3 (bipolar), not simply 1 to 7 (unipolar).
E.g. Low sweetness: -3 (undesirable) to +3 (desirable)
Having a bipolar scale also allows us to define a “0” point on the scale, e.g., some consumers may
not care at all about sweetness, and they would circle “0”.
15. Measure all ei
15
Please state your opinion on the following scales:
For athletic shoes:
price is:
Unimportant 1 2 3 4 5 6 7 Important
16. Sample ei question for price
(correct version)
16
Please state your opinion on the following scales:
For athletic shoes:
High price is:
Undesirable -3 -2 -1 0 1 2 3 Desirable
17. Measure all ei(-3 to +3)
17
Please state your opinion on the following scales:
For athletic shoes:
high price is:
Undesirable -3 -2 -1 0 1 2 3 Desirable
high durability is:
Undesirable -3 -2 -1 0 1 2 3 Desirable
18. Measure bi values for the brand
18
Please tell us what you think about brand A on these
features:
Brand A shoes is high in price
Disagree -3 -2 -1 0 1 2 3 Agree
Brand A shoes is high in durability
Disagree -3 -2 -1 0 1 2 3 Agree
19. Compute Average Scores for bi and ei
19
ei for high price:
Consumer 1 -3
Consumer 2 -1
Consumer 3 -2
Consumer 4 -2
⇒Average ei for price = ?
bi for price of Brand A:
Consumer 1 3
Consumer 2 3
Consumer 3 3
Consumer 4 3
⇒Average bi for Brand A price = ?
20. Attitude Measurement: Brand A
20
-1-1+2+2Large Number of Sizes
-2-2+3+3High Price
+3+3+1+1Fashionable Styling
+2+2+3+3High Durability
+2+2+3+3High Shock-Absorbence
Salient
Beliefs
Belief
Strength (bi)
Eval
Score (ei) biei
Overall attitude =
-1-1-2-2Large Number of Sizes
-2-222High Price
+3+3-1-1Fashionable Styling
+2+2+3+3High Durability
+2+2+2+2High Shock-Absorbence
Salient
Beliefs
Belief
Strength (bi)
Eval
Score (ei) biei
Overall attitude =
Attitude Measurement: Brand B
21. Attitude Measurement: Brand A
-2-2-1-1+2+2Large Number of Sizes
-6-6-2-2+3+3High Price
+3+3+3+3+1+1Fashionable Styling
+6+6+2+2+3+3High Durability
+6+6+2+2+3+3High Shock-Absorbence
Salient
Beliefs
Belief
Strength (bi)
Eval
Score (ei) biei
Overall attitude = +7
+2+2-1-1-2-2
Large Number of Sizes
-4-4-2-222High Price
-3-3+3+3-1-1Fashionable Styling
+6+6+2+2+3+3High Durability
+4+4+2+2+2+2High Shock-Absorbence
Salient
Beliefs
Belief
Strength (bi)
Eval
Score (ei) biei
Overall attitude = +5
Attitude Measurement: Brand B
22. Note: Calculating Attitudes
22
Right (i.e., recommended) Way
Consumer A: bi = 2 ei = -1
Consumer B: bi = 4 ei = -3
Average bi = ?? ei = ??
So: attitude for this segment = ??
Wrong (i.e., NOT recommended) Way
Consumer A: bi = 2 ei = -1
attitude for Consumer A = ??
Consumer B: bi = 4 ei = -3
Attitude for Consumer B = ??
So: average attitude for this segment = ??
23. Model Problem: Attitude Not Always
Predictive of Behavior!
23
• Need to Measure Behavioral Intention; not just
Attitude
• Need to Include the Influence of Other People’s
Opinions (Subjective Norms)
• Not a part of your project!
• Theory of Reasoned Action Does Both
26. How Cognitively Based Attitudes
are Influenced
26
The Source
Spokesperson Credibility
Trustworthiness, expertise, status
Company Reputation
The Message
Argument Quality
One- Versus Two-Sided Messages
Comparative Messages
27. Example: Strong vs. Weak Arguments
27
The special coating in the knife forms a chemical seal
which bonds with the metal and protects it from
elements which can ruin the knife's sharpness and finish.
The special coating in the knife protects it from harmful
elements - elements which can ruin a good knife.
29. The Affective (Emotional) Foundations of
Attitudes
Affective Involvement
Strong emotional engagement with a stimulus
Affective Responses
Feelings and images a consumer generates in
response to a message
Emotional Appeals
Messages that elicit an emotional response
29
30. How Affectively Based Attitudes Are
Influenced
The Source
Attractiveness
Physical attractiveness, likeability,
familiarity, similar to self
Match-up Hypothesis
Source should be appropriate for the
message
30
31. How Affectively Based Attitudes Are
Influenced
The Message
Emotional Appeals
Elicit positive emotions (humor, love, hope, joy, excitement) to attract
consumers to product
Advantages? Drawbacks?
Elicit negative emotions (fear, pain, and
anxiety) that will occur if consumers
do not use the product)
Fear Appeals: Advantages? Drawbacks?
31
1. Too much fear – Terror Management Theory
2. Fear with resolution
32. A fear appeal is presented in
this ad to encourage parents
to talk frankly with their
children about various issues
including drugs, drinking,
tobacco, and sex. This ad is
effective because it
addresses a fear that every
parent has, and suggests
courses of actions that
parents can take to decrease
that fear.
33. Attitude Toward the Ad
Whether the consumer likes or dislikes an ad
May or may not be different from Attitude toward the
Brand
Influenced by
Utilitarian Dimension
Ad provides information
Hedonic Dimension
Ad creates positive or negative feelings
Interesting? Causes Elaboration?
33
34. When Do Attitudes Predict Behavior?
Level of Involvement/Elaboration
Knowledge and Experience
Analysis of Reasons
Attitude Accessibility
Attitude Confidence
Specificity of Attitudes
Attitude-Behavior Relationship over Time
Emotional attachment
Situational Factors
Normative Factors
Personality Variables: e.g. self-monitoring
34