This chapter discusses analyzing consumer and business markets and buyer behavior. It focuses on how cultural, social, personal, and psychological factors influence consumer buying behavior. It also examines the business buying process and major influences on organizational buyers. The chapter outlines the stages in the consumer and business buying decision processes. It analyzes the different types of buying decisions and roles that individuals play in purchasing.
Consumer learning is vital in creating Brand loyalty and Brand equity. In this presentation you will come to know about how people learn and what you should do as a company to make consumers learn about your product.
Consumer learning is vital in creating Brand loyalty and Brand equity. In this presentation you will come to know about how people learn and what you should do as a company to make consumers learn about your product.
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.
Communication and Consumer Behavior
Basic Communication Model
The Message Initiator (source)
The Credibility and Dynamics of Informal Source and WOM
Sleeper Effect / source amnesia
The Target Audience (receivers)
Targeting Consumers Through New Media
Designing Persuasive Communications
Emotional Advertising Appeals
Fear
Humor
Abrasive advertising
Audience participation
Celebrities
message
framing
comparative advertising
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.
Communication and Consumer Behavior
Basic Communication Model
The Message Initiator (source)
The Credibility and Dynamics of Informal Source and WOM
Sleeper Effect / source amnesia
The Target Audience (receivers)
Targeting Consumers Through New Media
Designing Persuasive Communications
Emotional Advertising Appeals
Fear
Humor
Abrasive advertising
Audience participation
Celebrities
message
framing
comparative advertising
Analyzing Consumer Markets and Buyer Behavior Slides (1).pptAliZainParhar
What constitutes the market? Occupant
What does the market buy? Objects
Why does the market buy? Objectives
Who participates in the buying? Organisations
How does the market buy? Operations
When does the market buy? Occasions
Where does the market buy? Outlets
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
2. Kotler on
Marketing
The most
important
thing is to
forecast where
customers are
moving, and
be in front of
them.
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3. Chapter Objectives
In this chapter, we focus on two questions:
How do the buyers’ characteristics – cultural,
social, personal, and psychological – influence
buying behavior?
How does the buyer make purchasing
decisions?
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4. Influencing Buyer Behavior
Consumer Behavior
Cultural Factors
Culture
Subcultures
Diversity marketing
Social class
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5. Influencing Buyer Behavior
Social Factors
Reference Groups
Reference groups
Membership groups
Primary groups
Secondary groups
Aspirational groups
Dissociative groups
Opinion leader
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6. Table 7.1: Characteristics of Major U.S. Social Classes
1. Upper Uppers The social elite who live on inherited wealth. They
(less than 1%) give large sums to charity, run the debutante balls,
maintain more than one home, and send their
children to the finest schools. They are a market for
jewelry, antiques, homes, and vacations. They often
buy and dress conservatively. Although small as a
group, they serve as a reference group to the extent
that their consumption decisions are imitated by the
other social classes.
2. Lower Uppers Persons, usually from the middle class, who have
(about 2%) earned high income or wealth through exceptional
ability in the professions or business. They tend to
be active in social and civic affairs and to buy the
symbols of status for themselves and their children.
They include the nouveau riche, whose pattern of
conspicuous consumption is designed to impress
those below them.
See text for complete table
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7. Influencing Buyer Behavior
Secondary groups
Aspirational groups
Dissociative groups
Opinion leader
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8. Influencing Buyer Behavior
Family
Family of orientation
Family of procreation
Roles and Statuses
Role
Status
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9. With the “graying” of the American populace,
marketers have begun to shift images and
cultural references in advertising from things
that are relevant to the twenty-somethings to
twenty-
images of active seniors, and soundtracks
from the sixties and seventies. Can you
identify any particular
ad campaigns that fit
this pattern?
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10. Influencing Buyer Behavior
Personal Factors
Age and Stage in the Life Cycle
Family life cycle
Occupation and Economic
Circumstances
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11. In recent years, many organizations have
“provided” televisions with limited programming
access for use in K-12 classrooms. Do these
K-
entities have a moral obligation to avoid overt
marketing to their captive audiences, or is this a
valid tool for introducing offerings to future
consumers? What should the
responsibilities of the educators
be in these situations?
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12. Table 7.2: Stages in the Family Life Cycle
1. Bachelor stage: Few financial burdens. Fashion opinion
Young, single, not living leaders. Recreation oriented. Buy: basic home
at home equipment, furniture, cars, equipment for the
mating game; vacations.
2. Newly married Highest purchase rate and highest average
couples: purchase of durables: cars, appliances,
Young, no children furniture, vacations.
3. Full nest I: Home purchasing at peak. Liquid assets low.
Youngest child under Interested in new products, advertised
six products. Buy: washers, dryers, TV, baby food,
chest rubs and cough medicines, vitamins,
dolls, wagons, sleds, skates.
4. Full nest II: Financial position better. Less influenced by
Youngest child six or advertising. Buy larger-size packages,
larger-
over multiple-
multiple-unit deals. Buy: many foods, cleaning
materials, bicycles, music lessons, pianos.
See text for complete table
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13. Figure 7.2: The VALS segmentation system:
An 8-part typology
Groups with High
Resources
1. Actualizers
2. Fulfilleds
3. Achievers
4. Experiencers
Groups with Lower
Resources
1. Believers
2. Strivers
3. Makers
4. Strugglers
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17. Influencing Buyer Behavior
Ernest Dichter’s research found:
Consumers resist prunes because prunes are
wrinkled looking and remind people of old age.
Men smoke cigars as an adult version of thumb
sucking.
Women prefer vegetable shortening to animal
fats because the latter arouse a sense of guilt
over killing animals.
Women don’t trust cake mixes unless they
require adding an egg, because this helps them
feel they are giving “birth.”
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18. Influencing Buyer Behavior
Maslow’s Theory
Figure 7.3:
Maslow’s
Hierarchy of
Needs
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20. Influencing Buyer Behavior
Perception
Selective attention
People are more likely to notice stimuli than
relate to a current need
People are more likely to notice stimuli than
they anticipate
People are more likely to notice stimuli
whose deviations are large in relation to the
normal size of the stimuli
Selective distortion
Selective retention
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22. The purchase of a product from a Company A
turns out to be a positive experience. You are
looking for a loosely related product, which is also
offered by Company A. Do you assume that you
will again have a positive experience with
Company A’s offering, or do you
look for the “best of breed,”
regardless of which
company offers it?
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23. The Buying Decision Process
Buying Roles
Initiator
Influencer
Decider
Buyer
User
Buying behavior
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24. Table 7.3: Four Types of Buying Behavior
High Involvement Low Involvement
Significant Differences Complex buying Variety-
Variety-seeking
between Brands behavior buying behavior
Few Differences between Dissonance-
Dissonance-reducing Habitual buying
Brands buying behavior behavior
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26. Stages in the Buying
Decision Process
How marketers learn about the stages:
Introspective method
Retrospective method
Prospective method
Prescriptive method
Understanding by mapping the customer’s
Consumption system
Customer activity cycle
Customer scenario
Metamarket
Metamediaries
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27. The Edmunds.com home page shows the variety of
services this Web company offers those shopping
for a car.
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28. Stages of the Buying
Decision Process
Problem recognition
Information search
Personal sources Figure 7.4:
Commercial sources Five-Stage
Model of the
Public sources Consumer
Buying
Experiential sources Process
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29. Figure 7.5: Successive Sets Involved in Customer
Decision Making
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30. The Buying Decision Process
Evaluation of Alternatives
Potential Attributes of interest
Cameras
Hotels
Mouthwash
Tires
Brand beliefs
Brand image
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31. Table 7.4: A Consumer’s Brand Beliefs
about Computers
Computer Attribute
Memory Graphics Size and
Capacity Capability Weight Price
A 10 8 6 4
B 8 9 8 3
C 6 8 10 5
D 4 3 7 8
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32. The Buying Decision Process
Strategies designed to stimulate interest in a
computer
Redesign the computer
Alter beliefs about the brand
Alter beliefs about competitors’ brands
Alter the importance weights
Call attention to neglected attributes
Shift the buyer’s ideas
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33. The Buying Decision Process
Purchase Decision
Figure 7.6: Steps Between Evaluation of
Alternatives and a purchase decision
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35. The Buying Decision Process
Postpurchase Behavior
Postpurchase Satisfaction
Disappointed
Satisfied
Delighted
Postpurchase Actions
Postpurchase Use and Disposal
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36. Figure 7.7: How Customers Dispose of Products
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37. The Buying Decision Process
Other Models of the Buying Decision
Process
Health Model
Stages of Change Model
Precontemplation
Contemplation
Preparation
Action
Maintenance
Customer Activity Cycle Model
Pre, during and post phases
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38. Figure 7.8:
Activity cycle
for IBM
customers in
the global
electronic
networking
capability
market space
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39. Figure 7.9:
Value adds
for IBM
customers in
the global
electronic
networking
capability
market space
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40. Chapter 8
Analyzing Business Markets
and Business Buying
Behavior
by
PowerPoint by
Milton M. Pressley
University of New Orleans
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42. Chapter Objectives
In this chapter, we focus on six questions:
What is the business market, and how does it
differ from the consumer market?
What buying situations do organizational buyers
face?
Who participates in the business buying process?
What are the major influences on organizational
buyers?
How do business buyers make their decisions?
How do institutions and government agencies do
their buying?
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43. What is Organizational
Buying?
Organizational buying
The business market versus the consumer
market
Business market
Fewer buyers
Larger buyers
Close supplier-customer relationship
supplier-
Geographically concentrated buyers
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44. What is Organizational
Buying?
Derived demand
Inelastic demand
Fluctuating demand
Professional purchasing
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45. Blue Shield of California’s mylifepath
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46. What is Organizational
Buying?
Several buying influences
Multiple sales calls
Directed purchasing
Reciprocity
Leasing
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47. If you were tasked with marketing a
product or service to an organization,
would you attempt to initially contact the
purchasing department, or potential
department,
users of your company’s offerings? Why?
Would the product you
were selling make a
difference? Why?
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48. What is Organizational
Buying?
Buying Situations
Straight rebuy
Modified rebuy
New Task
Systems Buying and Selling
Systems buying
Turnkey solution
Systems selling
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49. What are some of the benefits to an
organization that can be derived
from a single source solution, or a
solution,
systems buying arrangement with a
prime contractor? What are some of
the potential pitfalls? What
can the company do to
protect itself from
these hazards?
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50. Participants in the Business
Buying Process
The Buying Center
Initiators
Users
Influencers
Deciders
Approvers
Buyers
Gatekeepers
Key buying influencers
Multilevel in-depth selling
in-
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51. Figure 8-1: Major Influences on
Industrial Buying Behavior
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52. Major Influences on Buying
Decisions
Environmental Factors
Organizational Factors
Purchasing-
Purchasing-Department Upgrading
Cross-
Cross-Functional Roles
Centralized Purchasing
Decentralized Purchasing of Small-Ticket
Small-
Items
Internet Purchasing
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53. The e-hub Plastics.com home page offers buyers and
e-
sellers of plastics a marketplace plus news and
information
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54. Covisint’s Web site offers both services and
information
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55. Major Influences on Buying
Decisions
Other Organizational Factors
Long-
Long-Term Contracts
Vendor-
Vendor-managed inventory
Continuous replenishment programs
Purchasing-
Purchasing-Performance Evaluation and Buyers’
Professional Development
Improved Supply Chain Management
Lean Production
Just-in-
Just-in-time
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56. Major Influences on Buying
Decisions
Interpersonal and Individual Factors
Cultural Factors
France
Germany
Japan
Korea
Latin America
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57. The Purchasing/
Procurement Process
Incentive to purchase
Three Company Purchasing Orientations
Buying Orientation
Commoditization
Multisourcing
Procurement Orientation
Materials requirement planning (MRP)
Supply Chain Management Orientation
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58. The Purchasing/
Procurement Process
Types of Purchasing Processes
Routine products
Leverage products
Strategic products
Bottleneck products
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59. The Purchasing/
Procurement Process
Stages in the Buying Process
Problem Recognition
General Need Description and
Product Specification
Product value analysis
Supplier Search
Vertical hubs
Functional hubs
Direct external links to major suppliers
Buying alliances
Company buying sites
Request for proposals (RFPs)
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60. Table 8.1: Buygrid Framework: Major Stages (Buyphases) of the
Industrial Buying Process in Relation to Major Buying Situations
(Buyclasses)
Buyclasses
New Modified Straight
Task Rebuy Rebuy
1. Problem recognition Yes Maybe No
2. General need description Yes Maybe No
3. Product specification Yes Yes Yes
Buyphases 4. Supplier search Yes Maybe No
5. Proposal solicitation Yes Maybe No
6. Supplier selection Yes Maybe No
7. Order-routine specification
Order- Yes Maybe No
8. Performance review Yes Yes Yes
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61. The Purchasing/
Procurement Process
General Need Description and
Product Specification
Product value analysis
Supplier Search
Vertical hubs
Functional hubs
Direct extranet links to
major suppliers
Buying alliances
Company buying sites
Request for proposals (RFPs)
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63. Table 8-2: An Example of Vendor Analysis
Attributes Rating Scale
Importance Poor Fair Good Excellent
Weights (1) (2) (3) (4)
Price .30 x
Supplier reputation .20 x
Product reliability .30 x
Service reliability .10 x
Supplier Flexibility .10 x
Total score: .30(4) + .20(3) + .30(4) + .10(2) + .10(3) = 3.5
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