Business Research Methods
Námskeið
- V-528-MAVI Markaðs- og viðskiptarannsóknir
Ensk lýsing:
Business Research MethodsLýsing:
Business Research Methods, 14e, contains stand-alone chapters that reflect research industry practices using real examples from all areas of business. In collaborations with over two dozen industry researchers, Schindler writes a real-world research methods book that distinguishes between big data analytics and small data with an emphasis on decision making. She eloquently covers ethical issues and their solutions, and has added more coverage of process models, sampling how-to, and data preparation.
Conscious of the different learning styles of students, Schindler provides appropriate cues for both visual and verbal learners through the use of in-text exhibits, bolded key terms, conceptual photos throughout and research though-leader quotes in PowerPoints for each chapter. She also used various interim GreenBook Research Industry Trends (GRIT) reports to guide the research for this revision. The latest GRIT Report is based on the largest study of research suppliers and users ever conducted.
Annað
- Höfundur: Pamela Schindler
- Útgáfa:14
- Útgáfudagur: 2021-01-18
- Hægt að prenta út 2 bls.
- Hægt að afrita 2 bls.
- Format:ePub
- ISBN 13: 9781264364541
- Print ISBN: 9781264704651
- ISBN 10: 1264364547
Efnisyfirlit
- Cover
- Halftitle
- The McGraw Hill Series in Operations and Decision Sciences
- Title
- Copyright
- Dedication
- Walkthrough
- Students are Learning Differently.
- Real Research is the Basis for Lively Class Discussions.
- Review Prepares. Discussion Cements.
- Projects Provide the Proof.
- Preface
- Detailed Changes to this Edition
- Connect
- Brief Contents
- Contents
- Part I: Building the Foundation for Research
- Chapter 1: Research Foundations and Fundamentals
- Business Environment for Decision-Making
- Role of Data in Decision-Making
- Addressing the Challenges
- Is New Data Needed?
- The Research Process
- The Language of Research
- Concepts
- Constructs
- Operational Definitions
- Variables
- Hypotheses, Theories, and Models
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Business Environment for Decision-Making
- Chapter 2: The Research Process: An Overview
- What Is Good Research?
- The Research Process
- Stage 1: Clarify the Research Question
- Identify and Prioritize Dilemmas
- Exploration
- Value and Budget the Research
- Stage 2: Design the Research Project
- Data Collection Design
- Sampling Design
- Stage 3: Collect and Prepare the Data
- Collect the Data
- Prepare the Data
- Stage 4: Analyze and Interpret the Data
- Stage 5: Report Insights and Recommendations
- The Research Project Time Frame
- Research Process Pitfalls and Solutions
- Ill-Defined Management Problems
- Unresearchable Questions
- Overembracing Data Analytics
- The Manager’s Hidden Agenda(s)
- Favored-Technique Syndrome
- Researcher Inexperience
- Research Process Ethical Issues and Responsibilities
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Chapter 3: Stage 1: Clarify the Research Question
- Stage 1 in the Research Process
- The Question Hierarchy
- The Management Question
- The Research Question
- Investigative Questions
- Measurement Questions
- The Exploration Strategy
- Information Sources
- Evaluating External Sources
- Internal Sources
- Evaluating Internal Sources
- Value the Research
- Justify and Budget for Research
- Stage 1 Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Additional Content
- Chapter 1: Research Foundations and Fundamentals
- Chapter 4: Stage 2: Research Design, An Overview
- What Is Research Design?
- Sampling Design
- Data Collection Design
- An Example
- Design Dimensions
- The Topical Scope
- Design the Measurement Instrument
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Chapter 5: Stage 2: Sampling Design
- Sampling Design
- Define the Target Population and Case
- Define the Population Parameters
- Define the Sample Frame
- A Community as Sample Frame
- Define the Number of Cases
- Sample versus Census
- Lower Cost
- Greater Speed of Data Collection
- Availability of Population Cases
- Better Quality Results
- Accuracy
- Precision
- Sample Size
- Define the Sampling Method
- Probability Sampling
- Simple Random Sampling
- Complex Probability Sampling
- Nonprobability Sampling
- Convenience Sampling
- Purposive Sampling
- Snowball Sampling
- Define the Selection and Recruiting Protocols
- Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Appendix: Calculate the Sample Size
- Chapter 6: Stage 2: Data Collection Design: Qualitative Research
- What Is Qualitative Research?
- Qualitative Research Design
- Qualitative Sampling Design
- Qualitative Data Collection Design
- Interviews
- Interviewers as Consultants
- Creative Exercises
- Individual Depth Interviews
- Group Interviews
- Focus Groups
- Group Interview Drawbacks and Their Solutions
- Recording, Analyzing, and Reporting Group Interviews
- Combining Qualitative Methodologies
- Case Study
- Action Research
- Merging Qualitative and Quantitative Methodologies
- Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Chapter 7: Stage 2: Data Collection Design: Observation Research
- Observation Research Design
- Sampling Design
- Data Collection Design
- Content Type
- Types of Observation
- Observation Environment
- Data Collection Protocol
- Observer-Participant Relationship
- Observer Training and Supervision
- Evaluation of the Observation Method
- Strengths
- Limitations
- Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Chapter 8: Stage 2: Data Collection Design: Experiments
- Experiments and Causation
- Causation Evidence
- Causal Conclusion
- Conduct an Experiment
- Select Relevant Variables
- Specify Treatment Levels
- Control the Experimental Environment
- Choose the Experimental Design
- Select and Assign Participants (or Cases)
- Pilot Test Data Collection Protocols, Revise
- Conduct the Experiment
- Validity in Experimentation
- Internal Validity
- External Validity
- Experimental Research Designs
- Preexperimental Designs
- True Experimental Designs
- Field Experiments: Quasi- or Semi-Experiments
- An Evaluation of Experiments
- Advantages
- Disadvantages
- Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Additional Content
- Experiments and Causation
- Chapter 9: Stage 2: Data Collection Design: Survey Research
- Data Collection Design: The Survey
- Self-Administered Survey
- Survey via Phone Interview
- Survey via Personal Interview
- Error in Survey Research
- Interviewer Error
- Participant Error
- Outsourcing Survey Tasks
- Evaluation of Survey Research
- Ethical Issues and Their Solutions
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Data Collection Design: The Survey
- Chapter 10: Stage 3: Measurement Foundations
- The Nature of Measurement
- Tasks of Measurement
- What Is Measured
- Measurement Scales
- Nominal Scales
- Ordinal Scales
- Interval Scales
- Ratio Scales
- Recoding
- Sources of Measurement Differences
- Error Sources
- The Characteristics of Good Measurement
- Validity
- Reliability
- Practicality
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- The Nature of Measurement
- Chapter 11: Stage 3: Measurement Questions
- Instrument Design
- Prepare the Preliminary Analysis Plan
- Confirm Communication Approach
- Select Instrument Structure
- Select or Craft a Measurement Scale
- Research Objectives
- Response Types
- Number of Dimensions
- Balanced or Unbalanced
- Forced or Unforced Choices
- Number of Scale Points
- Participant Errors
- The Nature of Attitudes
- The Relationship between Attitudes and Behavior
- Attitude Scaling
- Rating Questions
- Single-Response Questions
- Multiple-Response Questions
- Ranking Questions
- Sorting Questions
- Cumulative Questions
- Find or Craft Measurement Questions
- Question Coverage
- Question Wording
- Frame of Reference
- Response Alternatives
- Sources of Existing Questions
- Pretesting
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Appendix: Sources of Measurement Questions
- Chapter 12: Stage 3: Measurement Instruments
- Instrument Design
- Phase 2: Gather and Sort the Pieces
- Question Types
- Pretesting: Scope and Coverage
- Responsibility Fulfillment
- Phase 2: Non-Question Elements
- Non-Question Elements
- Overcoming Instrument Problems
- Responsibility Fulfillment
- Phase 3: Organize the Pieces
- Order Topics and Questions
- Pretest The Instrument
- Physical Design
- Pretesting: Physical Design
- Responsibility Fulfillment
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Additional Content
- Chapter 13: Stage 3: Collect, Prepare, and Examine Data
- Collect the Data
- Train the Data Collectors
- Determine the Data Collection Timeline
- Determine and Implement the Research Process(es)
- Invite the Chosen Participants
- Activate the Research Task(s)
- Remind the Participants
- Enter the Data
- Enter the Data
- Prepare the Data
- Postcollection Coding of Data
- Edit the Data
- Complete
- Accurate
- Appropriately Coded
- Examine the Data
- Exploratory Data Analysis
- Cross-Tabulation
- The Importance of Percentages
- Other Table-Based Analysis
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Appendix: Better Tables
- Appendix: Review: Describing Data Statistically
- Collect the Data
- Chapter 14: Stage 4: Hypothesis Testing
- Introduction
- Statistical Significance
- The Logic of Hypothesis Testing
- Statistical Testing Procedures
- Probability Values (p Values)
- Tests of Significance
- Types of Tests
- How to Select a Test
- Selecting Tests Using the Choice Criteria
- One-Sample Tests
- Two-Independent-Samples Tests
- Two-Related-Samples Tests
- k-Independent-Samples Tests
- A Priori Contrasts
- Multiple Comparison Tests
- Exploring the Findings with Two-Way ANOVA
- Nonparametric Tests
- k-Related-Samples Tests
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Introduction
- Chapter 15: Stage 4: Measures of Association
- Introduction
- Bivariate Correlation Analysis
- Pearson’s Correlation Coefficient r
- Scatterplots for Exploring Relationships
- The Assumptions of r
- Computation and Testing of r
- Simple Linear Regression
- The Basic Model
- Concept Application
- Method of Least Squares
- Predictions
- Testing the Goodness of Fit
- Nonparametric Measures of Association
- Measures for Nominal Data
- Measures for Ordinal Data
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Chapter 16: Stage 5: Research Reports: Support Insights and Recommendations
- Introduction
- Emphasis on Insights
- Shift in Reporting Structure
- Audience-Centric Planning
- Audience Analysis
- Audience Composition
- Research Question Knowledge
- Research Predispositions
- Recommendation Effects
- Audience Effect
- Supplemental Purposes
- Report Structure
- Content and Style: Organize
- Report Types
- Report Components
- Traditional Frameworks for Organization
- Content and Style: Visualize
- Presenting Findings
- Data Visualization Specifically for the Oral Report
- Content and Style: Compile
- Content and Style: Practice
- Content and Style: Deliver
- Ethical Considerations in Reporting
- Summary
- Keyterms
- Review & Discussion Questions
- Cases
- Appendix: Better Reports
- Introduction
- Chapter 17: An Integrated Example
- The Need for Research
- Receipt of an RFP at Visionary Insights
- The VI Proposal for BrainSavvy Research
- The Proposal Review at BrainSavvy
- The BrainSavvy Finalist Interview
- Visionary Insights Captures the Research Contract
- Stage 1: Clarify the Research Question
- The Dallas Trip
- VI Project Structure and Exploration
- Interviews
- Data File Analysis
- Process Modeling
- Focus Groups
- Investigative and Research Questions
- Stage 2: Research Design
- Sampling Design
- Data Collection Design
- Stage 3: Collect, Prepare and Examine Data
- Activate the Survey
- The Analysis Plan
- Data Preparation and Examination
- Stage 4: Analyze the Data
- Conference Call with Parma the Following Tuesday
- Stage 5: Report the Research
- Oral Report
- Post-Project Team Debriefing
- The Continuation Contract
- Three and a Half Months Later
- Summary
- Review & Discussion Questions
- Appendix A: Business Research Proposals and RFPs (with Sample RFP)
- Proposing Research
- The Research Proposal
- Proposal Structure
- Executive Summary
- Problem Statement
- Research Objectives
- Literature Review
- Importance/Benefits of the Study
- Research Design
- Data Analysis
- Nature and Form of Results
- Qualifications of Researchers
- Budget
- Schedule
- Facilities and Special Resources
- Project Management
- Bibliography
- Appendices
- Create a Request for Proposal
- Proposal Administration
- Summary Problem Statement
- Technical Section
- Management Section
- Contracts and Licensing Section
- Pricing Section
- Format
- Qualify a Researcher to Receive the RFP
- Evaluate a Research Company’s Proposal
- Evaluating an Unsolicited Research Proposal
- Sample RFP: Covering Kids
- Background
- Contractual Needs
- Evaluation Task
- Anticipated Time Schedule
- Proposal Instructions
- Review Criteria
- Proposing Research
- Background
- One-Sample Test
- Kolmogorov-Smirnov Test
- Two-Samples Tests
- Sign Test
- Wilcoxon Matched-Pairs Test
- Kolmogorov-Smirnov Two-Samples Test
- Mann-Whitney U Test
- Other Nonparametric Tests
- Kruskal-Wallis Test
- Name Index
- Company Index
- Subject Index
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- Gerð : 208
- Höfundur : 8659
- Útgáfuár : 2021
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