This document discusses various models and aspects of consumer decision making. It covers four levels of consumer decision making from extensive problem solving to routine response behavior. It also discusses four views of consumer decision making: the economic view, passive view, cognitive view, and emotional view. Additionally, it examines factors that influence consumer behavior such as motivation, personality, perception, learning, and attitudes. It provides an overview of concepts like the halo effect, selective attention, perceptual defense, and more.
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
Consumer Attitude Formation and change
Attitude
What Are Attitudes?
Structural Models of Attitudes
Tricomponent Attitude Model
Multiattribute Attitude Models
A Simplified Version of the Theory of Reasoned Action
Theory of Trying to Consume
Attitude-Toward-the-Ad Model
Changing the Basic Motivational Function
Elaboration Likelihood Model (ELM)
A reference group involves one or more people whom someone uses as a basis for comparison or point of reference in forming effective and cognitive responses and performing behaviors.
Personality and self concept- Studying Consumer Behaviour Nupur Agarwal
Personality and Self Concept are important parameters while studying consumer behaviour. It helps us understand the market behavioural pattern and trends.
Buying Decision Making Process
Buying roles, Stages of the decision process – High and low effort decisions, Post purchase decisions, Models of consumer behaviour
Introduction to Consumer Behaviour; Consumer Behaviour
and Marketing Strategy; Consumer Involvement – Levels
of involvement, and Decision Making.
Consumer Decision Process – Stages in Decision Process,
Information Search Process; Evaluative Criteria and
Decision Rules, Consumer Motivation – Types of Consumer
Needs, Ways of Motivating Consumers. Information
Processing and Consumer Perception.
Consumer Attitudes and Attitude Change; Influence of
Personality and Self Concept on Buying Behaviour,
Psychographics and Lifestyles, Impuse Buying.
Diffusion of Innovation and Opinion Leadership, Family
Decision Making, Influence of Reference Group
Industrial Buying Behaviour– Process and factors, Models
of Consumer Behaviour – Harward Seth, Nicosia, E& D,
Economic Model; Introduction to Consumer Behaviour
Audit; Consumer Behaviour Studies in India.
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
Consumer Attitude Formation and change
Attitude
What Are Attitudes?
Structural Models of Attitudes
Tricomponent Attitude Model
Multiattribute Attitude Models
A Simplified Version of the Theory of Reasoned Action
Theory of Trying to Consume
Attitude-Toward-the-Ad Model
Changing the Basic Motivational Function
Elaboration Likelihood Model (ELM)
A reference group involves one or more people whom someone uses as a basis for comparison or point of reference in forming effective and cognitive responses and performing behaviors.
Personality and self concept- Studying Consumer Behaviour Nupur Agarwal
Personality and Self Concept are important parameters while studying consumer behaviour. It helps us understand the market behavioural pattern and trends.
Buying Decision Making Process
Buying roles, Stages of the decision process – High and low effort decisions, Post purchase decisions, Models of consumer behaviour
Introduction to Consumer Behaviour; Consumer Behaviour
and Marketing Strategy; Consumer Involvement – Levels
of involvement, and Decision Making.
Consumer Decision Process – Stages in Decision Process,
Information Search Process; Evaluative Criteria and
Decision Rules, Consumer Motivation – Types of Consumer
Needs, Ways of Motivating Consumers. Information
Processing and Consumer Perception.
Consumer Attitudes and Attitude Change; Influence of
Personality and Self Concept on Buying Behaviour,
Psychographics and Lifestyles, Impuse Buying.
Diffusion of Innovation and Opinion Leadership, Family
Decision Making, Influence of Reference Group
Industrial Buying Behaviour– Process and factors, Models
of Consumer Behaviour – Harward Seth, Nicosia, E& D,
Economic Model; Introduction to Consumer Behaviour
Audit; Consumer Behaviour Studies in India.
Consumer Behavior- meaning, nature and importance, Factors influencing consumer behavior, Buying Behavior process. Market Segmentation- meaning and need Bases for market segmentation, Requisites for effective segmentation, Steps in segmentation process, Targeting- meaning, strategies, Positioning- meaning and types
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. Levels of Consumer Decision Making
Extensive Problem Solving
Limited Problem Solving
Routine Response
Behavior
3. A search by the consumer to
establish the necessary
Extensive
product criteria to evaluate
Problem
knowledgeably the most
Solving
suitable product to fulfill a
need.
4. A limited search by a
Limited consumer for a product that
Problem will satisfy his or her basic
Solving criteria from among a
selected group of brands.
5. Models of Consumers: Four Views of
Consumer Decision Making
• An Economic View
• A Passive View
• A Cognitive View
• An Emotional View
6. The Economic view
Rational Customers Have To …
• Be aware of all available
product alternatives
• Be capable of correctly
ranking each alternative in
terms of its benefits and
disadvantages
7. Why is the Classical Economic Model
Considered Unrealistic?
• People are limited by
their existing skills,
habits, and reflexes
• People are limited by
their existing values and
goals
8. Models of Consumers: Four Views of
Consumer Decision Making
• A Passive View
• A Cognitive View
• An Emotional View - mood
9. Figure 16.2 A Simple Model of Consumer Decision Making
External Influences
Sociocultural Environment
Firm’s Marketing Efforts
1. Family
Input 1. Product
2. Informal sources
2. Promotion
3. Other noncommercial sources
3. Price
4. Social class
4. Channels of distribution
5. Subculture and culture
Consumer Decision Making
Psychological Field
1. Motivation
Need Recognition 2. Perception
3. Learning
Process Prepurchase Search 4. Personality
5. Attitudes
Evaluation of Alternatives
Experience
Postdecision Behavior
Purchase
Output
1. Trial Postpurchase Evaluation
2. Repeat purchase
11. A type of decision
rule in which a
consumer evaluates
each brand in terms
Compensatory
of each relevant
Decision Rules
attribute and then
selects the brand
with the highest
weighted score.
12. A type of consumer
decision rule by which
positive evaluation of
Non-
a brand attribute
compensatory
does not compensate
Decision
Rules for a negative
evaluation of the
same brand on some
other attribute.
13. A noncompensatory
decision rule in which
consumers establish a
minimally acceptable
Conjunctive cutoff point for each
Decision attribute evaluated.
Rule Brands that fall below
the cutoff point on any
one attribute are
eliminated from
further consideration.
14. A noncompensatory
decision rule in which
consumers establish a
Disjunctive
minimally acceptable
Rule
cutoff point for each
relevant product
attribute.
15. A noncompensatory
decision rule -
consumers first rank
product attributes in
Lexicographic
terms of importance,
Rule
then compare brands
in terms of the
attribute considered
most important.
16. A simplified decision rule
by which consumers
make a product choice
Affect
on the basis of their
Referral
previously established
Decision
overall ratings of the
Rule
brands considered,
rather than on specific
attributes.
17. Table : Hypothetical Use of Popular Decision Rules in
Making a Decision to Purchase a Laptop
DECISION RULE MENTAL STATEMENT
Compensatory rule “I selected the computer that came out best when I
balanced the good ratings against the bad ratings.”
Conjunctive rule “I selected the computer that had no bad features.”
Disjunctive rule “I picked the computer that excelled in at least one
attribute.”
Lexicographic rule “I looked at the feature that was most important to me
and chose the computer that ranked highest on that
attribute.”
Affect referral rule “I bought the brand with the highest overall rating.”
22. What Is Personality ?
The inner psychological characteristics that
both determine and reflect how a person
responds to his or her environment
23. The Nature of Personality
• Personality reflects individual
differences
• Personality is consistent and
enduring
• Personality can change
Copyright 2007 by Prentice Hall
24. Discussion Questions
• How would you describe your personality?
• How does it influence products that you
purchase?
Copyright 2007 by Prentice Hall
25. Theories of Personality
• Freudian theory
– Unconscious needs or drives are at the heart of
human motivation
• Neo-Freudian personality theory
– Social relationships are fundamental to the
formation and development of personality
• Trait theory
– Quantitative approach to personality as a set of
psychological traits
Copyright 2007 by Prentice Hall
26. Trait Theory
• Personality theory with a focus on
psychological characteristics
• Trait - any distinguishing, relatively enduring
way in which one individual differs from
another
• Personality is linked to how consumers make
their choices or to consumption of a broad
product category - not a specific brand
Copyright 2007 by Prentice Hall
27. Trait Theory
Consumer Innovators
And Noninnovators
• Innovativeness • The degree to which
• Dogmatism consumers are
• Social character receptive to new
products, new services,
• Need for uniqueness or new practices
• Variety-novelty seeking
Copyright 2007 by Prentice Hall
28. Trait Theory
Consumer Innovators
And Noninnovators
• Innovativeness • A personality trait that
• Dogmatism reflects the degree of
• Social character rigidity a person displays
toward the unfamiliar and
• Need for uniqueness toward information that is
• Variety-novelty seeking contrary to his or her own
established beliefs
Copyright 2007 by Prentice Hall
29. Trait Theory
Consumer Innovators
And Noninnovators
• Innovativeness • Ranges on a continuum for
• Dogmatism inner-directedness to other-
• Social character directedness
• Need for uniqueness • Inner-directedness
– rely on own values when
• Variety-novelty seeking evaluating products
– Innovators
• Other-directedness
– look to others
Copyright 2007 by Prentice Hall
– less likely to be innovators
30. Trait Theory
Consumer Innovators
And Noninnovators
• Innovativeness • Consumers who avoid
• Dogmatism appearing to conform to
• Social character expectations or
standards of others
• Need for uniqueness
• Variety-novelty seeking
Copyright 2007 by Prentice Hall
31. Brand Personality
• Personality-like traits associated with brands
• Examples
– Nike and athlete
– BMW is performance driven
– Levi’s jeans are dependable and rugged
• Brand personality which is strong and favorable will
strengthen a brand but not necessarily demand a
price premium
Copyright 2007 by Prentice Hall
32. Discussion Questions
• Pick three of your favorite brands.
• Describe their personality. Do they have a
gender? What personality traits do they
have?
Copyright 2007 by Prentice Hall
33. Table : The Personality-like Associations of Colors
BLUE Commands respect, authority
Caution, novelty, temporary, warmth
YELLOW
Secure, natural, relaxed or easy- going,
living things
GREEN
34. Human, exciting, hot, passionate, strong
RED
ORANGE
Powerful, affordable, informal
Informal and relaxed, masculine, nature
BROWN
Goodness, purity, chastity, cleanliness,
delicacy, refinement, formality
WHITE
Sophistication, power, authority, mystery
BLACK
Regal, wealthy, stately
SILVER,byGOLD
Copyright 2007 Prentice Hall
36. Perception
• The process by which an individual selects,
organizes, and interprets stimuli into a
meaningful and coherent picture of the world
• How we see the world around us
Sketchers
Copyright 2007 by Prentice Hall
37. Aspects of Perception
Selection
Organization
Interpretation
Copyright 2007 by Prentice Hall
38. Perceptual Selection
Concepts
• Selective Exposure • Consumers seek out
• Selective Attention messages which:
– Are pleasant
• Perceptual Defense – They can sympathize
• Perceptual Blocking – Reassure them of good
purchases
Copyright 2007 by Prentice Hall
39. Perceptual Selection
Concepts
• Selective Exposure • Heightened awareness
• Selective Attention when stimuli meet their
• Perceptual Defense needs
• Consumers prefer
• Perceptual Blocking different messages and
medium
Copyright 2007 by Prentice Hall
40. Perceptual Selection
Concepts
• Selective Exposure • Screening out of stimuli
• Selective Attention which are threatening
• Perceptual Defense
• Perceptual Blocking
Copyright 2007 by Prentice Hall
41. Perceptual Selection
Concepts
• Selective Exposure • Consumers avoid being
• Selective Attention bombarded by:
– Tuning out
• Perceptual Defense
• Perceptual Blocking
Copyright 2007 by Prentice Hall
42. Organization
Principles
• Grouping • People group stimuli to
• Closure form a unified
impression or concept.
• Grouping helps memory
and recall.
Copyright 2007 by Prentice Hall
43. Organization
Principles
• Grouping • People have a need for
• Closure closure and organize
perceptions to form a
complete picture.
• Will often fill in missing
pieces
• Incomplete messages
remembered more than
Copyright 2007 by Prentice Hall complete
44. Interpretation
Perceptual Distortion
• Physical • Positive attributes of
Appearances people they know to
• First Impressions those who resemble
• Jumping to them
Conclusions • Important for model
selection
• Halo Effect • Attractive models are
more persuasive for
Copyright 2007 by Prentice Hall some products
45. Interpretation
Perceptual Distortion
• Physical • First impressions are
Appearances lasting
• First Impressions • The perceiver is trying
• Jumping to to determine which
Conclusions stimuli are relevant,
important, or predictive
• Halo Effect
Copyright 2007 by Prentice Hall
46. Interpretation
Perceptual Distortion
• Physical • People tend not to listen
Appearances to all the information
• First Impressions before making
• Jumping to conclusion
Conclusions • Important to put
persuasive arguments
• Halo Effect first in advertising
Copyright 2007 by Prentice Hall
47. Interpretation
Perceptual Distortion
• Physical • Consumers perceive and
Appearances evaluate multiple objects
• First Impressions based on just one
• Jumping to dimension
Conclusions • Used in licensing of names
• Halo Effect
Copyright 2007 by Prentice Hall
48. The halo effect
helps Adidas
break into new
product
categories.
Copyright 2007 by Prentice Hall