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Research methods for business : a skill-building approach / Uma Sekaran and Roger Bougie.

By: Contributor(s): Material type: TextTextPublication details: Chichester, West Sussex : Wiley, 2016Edition: 7th edDescription: xxiii, 420 p; 24 cmISBN:
  • 9781119165552 (pbk.)
Subject(s): DDC classification:
  • 650.072 23
LOC classification:
  • HD30.4 .S435 2016
Online resources:
Contents:
Types of business research: applied and basic 5 Managers and research 8 Internal versus external consultants/researchers 10 Knowledge about research and managerial effectiveness 12 Ethics and business research 13 Summary 13 Discussion questions 14 Case: The Laroche Candy Company 15 2 the scientific approach and alternative approaches to investigation 18 Introduction 18 The hallmarks of scientific research 19 The hypothetico-deductive method 23 Alternative approaches to research 28 Summary 30 Discussion questions 31 3 Defining and refining the problem 33 Introduction 33 The broad problem area 33 Preliminary research 37 Defining the problem statement 39 The research proposal 45 Managerial implications 47 Ethical issues in the preliminary stages of investigation 47 Summary 48 Discussion questions 49 4 the critical literature review 51 Introduction 51 How to approach the literature review 54 Ethical issues 59 Summary 60 Discussion questions 61 Practice project 62 Appendix 63 Some online resources useful for business research 63 Bibliographical databases 66 Apa format for referencing relevant articles 66 Referencing and quotation in the literature review section 69 5 theoretical framework and hypothesis development 71 Introduction 71 The need for a theoretical framework 72 Variables 72 How theory is generated 81 Hypothesis development 83 Directional and nondirectional hypotheses 84 Null and alternate hypotheses 85 Managerial implications 90 Summary 91 Discussion questions 92 Practice project 94 6 elements of research design 95 Introduction 95 The research design 95 Elements of research design 96 Extent of researcher interference with the study 99 Study setting: contrived and noncontrived 100 Unit of analysis: individuals, dyads, groups, organizations, cultures 102 Time horizon: cross-sectional versus longitudinal studies 104 Mixed methods 106 Trade-offs and compromises 107 Managerial implications 108 Summary 108 Discussion questions 109 7 Interviews 111 Introduction 111 Primary data collection methods 111 Interviews 113 Training interviewers 116 Some tips to follow when interviewing 117 Advantages and disadvantages of interviews 123 Summary 123 Discussion questions 124 8 Data collection methods: observation 126 Introduction 126 Definition and purpose of observation 127 Four key dimensions that characterize the type of observation 127 Two important approaches to observation 130 Advantages and disadvantages of observation 137 Summary 139 Discussion questions 140 9 Administering questionnaires 142 Introduction 142 Types of questionnaires 142 Guidelines for questionnaire design 145 International dimensions of surveys 155 Review of the advantages and disadvantages of different Data collection methods and when to use each 157 Multimethods of data collection 158 Managerial implications 159 Ethics in data collection 159 Summary 160 Discussion questions 161 10 experimental designs 165 Introduction 165 The lab experiment 167 The field experiment 172 External and internal validity in experiments 172 Types of experimental design and validity 179 Simulation 184 Ethical issues in experimental design research 185 Managerial implications 186 Summary 187 Discussion questions 189 Appendix: Further experimental designs 190 11 Measurement of variables: operational definition 193 Introduction 193 How variables are measured 193 Operational definition (operationalization) 195 International dimensions of operationalization 204 Summary 204 Discussion questions 205 12 Measurement: scaling, reliability and validity 206 Introduction 206 Four types of scales 207 Rating scales 213 Ranking scales 218 International dimensions of scaling 219 Goodness of measures 220 Reflective versus formative measurement scales 225 Summary 226 Discussion questions 227 Appendix: Examples of some measures 229 13 sampling 235 Introduction 235 Sample data and population values 237 The sampling process 239 Probability sampling 242 Nonprobability sampling 247 Intermezzo: examples of when certain sampling designs would be appropriate 252 Issues of precision and confidence in determining sample size 257 Sample data and hypothesis testing 260 The sample size 261 Sampling as related to qualitative studies 265 Managerial implications 266 Summary 266 Discussion questions 268 14 Quantitative data analysis 271 Introduction 271 Getting the data ready for analysis 273 Getting a feel for the data 278 Excelsior enterprises: descriptive statistics part 1 287 Testing the goodness of measures 289 Excelsior enterprises: descriptive statistics part 2 293 Summary 296 Discussion questions 297 15 Quantitative data analysis: Hypothesis testing 300 Introduction 300 Type i errors, type ii errors, and statistical power 301 Choosing the appropriate statistical technique 302 Excelsior enterprises: hypothesis testing 323 Data warehousing, data mining, and operations research 326 Some software packages useful for data analysis 327 Summary 328 Discussion questions 329 16 Qualitative data analysis 332 Introduction 332 Three important steps in qualitative data analysis 332 Reliability and validity in qualitative research 348 Some other methods of gathering and analyzing qualitative data 350 Big data 351 Summary 351 Discussion questions 352 17 The research report 353 Introduction 353 The written report 354 Contents of the research report 357 Oral presentation 363 Summary 366 Discussion questions 367 Appendix: Examples 368 Report 1: sample of a report involving a descriptive study 368 Report 2: sample of a report offering alternative solutions and explaining the pros and cons of each alternative 371 Report 3: example of an abridged basic research report 373 A Final Note to Students 377 Statistical Tables 379
Summary: Research Methods for Business: A Skill-Building Approach is a concise and straightforward introduction for students to the world of business research. The skill-building approach provides students with practical perspectives on how research can be applied in real business situations. Maintaining Uma Sekaran’ s popular and accessible style of writing, Roger Bougie draws upon his extensive experience in the field to present an up-to-date guide on business research which is ideal for aspiring managers. The seventh edition has been fully revised and updated to include cutting-edge examples and enriched pedagogical features designed to improve student learning outcomes. There is now an increased emphasis on the relationship between the scientific and the pragmatic approaches to research, while the key concepts are explored and applied to real-life research throughout the book.
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Includes bibliographical references and index.

Types of business research: applied and basic 5

Managers and research 8

Internal versus external consultants/researchers 10

Knowledge about research and managerial effectiveness 12

Ethics and business research 13

Summary 13

Discussion questions 14

Case: The Laroche Candy Company 15

2 the scientific approach and alternative approaches to investigation 18

Introduction 18

The hallmarks of scientific research 19

The hypothetico-deductive method 23

Alternative approaches to research 28

Summary 30

Discussion questions 31

3 Defining and refining the problem 33

Introduction 33

The broad problem area 33

Preliminary research 37

Defining the problem statement 39

The research proposal 45

Managerial implications 47

Ethical issues in the preliminary stages of investigation 47

Summary 48

Discussion questions 49

4 the critical literature review 51

Introduction 51

How to approach the literature review 54

Ethical issues 59

Summary 60

Discussion questions 61

Practice project 62

Appendix 63

Some online resources useful for business research 63

Bibliographical databases 66

Apa format for referencing relevant articles 66

Referencing and quotation in the literature review section 69

5 theoretical framework and hypothesis development 71

Introduction 71

The need for a theoretical framework 72

Variables 72

How theory is generated 81

Hypothesis development 83

Directional and nondirectional hypotheses 84

Null and alternate hypotheses 85

Managerial implications 90

Summary 91

Discussion questions 92

Practice project 94

6 elements of research design 95

Introduction 95

The research design 95

Elements of research design 96

Extent of researcher interference with the study 99

Study setting: contrived and noncontrived 100

Unit of analysis: individuals, dyads, groups, organizations, cultures 102

Time horizon: cross-sectional versus longitudinal studies 104

Mixed methods 106

Trade-offs and compromises 107

Managerial implications 108

Summary 108

Discussion questions 109

7 Interviews 111

Introduction 111

Primary data collection methods 111

Interviews 113

Training interviewers 116

Some tips to follow when interviewing 117

Advantages and disadvantages of interviews 123

Summary 123

Discussion questions 124

8 Data collection methods: observation 126

Introduction 126

Definition and purpose of observation 127

Four key dimensions that characterize the type of observation 127

Two important approaches to observation 130

Advantages and disadvantages of observation 137

Summary 139

Discussion questions 140

9 Administering questionnaires 142

Introduction 142

Types of questionnaires 142

Guidelines for questionnaire design 145

International dimensions of surveys 155

Review of the advantages and disadvantages of different Data collection methods and when to use each 157

Multimethods of data collection 158

Managerial implications 159

Ethics in data collection 159

Summary 160

Discussion questions 161

10 experimental designs 165

Introduction 165

The lab experiment 167

The field experiment 172

External and internal validity in experiments 172

Types of experimental design and validity 179

Simulation 184

Ethical issues in experimental design research 185

Managerial implications 186

Summary 187

Discussion questions 189

Appendix: Further experimental designs 190

11 Measurement of variables: operational definition 193

Introduction 193

How variables are measured 193

Operational definition (operationalization) 195

International dimensions of operationalization 204

Summary 204

Discussion questions 205

12 Measurement: scaling, reliability and validity 206

Introduction 206

Four types of scales 207

Rating scales 213

Ranking scales 218

International dimensions of scaling 219

Goodness of measures 220

Reflective versus formative measurement scales 225

Summary 226

Discussion questions 227

Appendix: Examples of some measures 229

13 sampling 235

Introduction 235

Sample data and population values 237

The sampling process 239

Probability sampling 242

Nonprobability sampling 247

Intermezzo: examples of when certain sampling designs would be appropriate 252

Issues of precision and confidence in determining sample size 257

Sample data and hypothesis testing 260

The sample size 261

Sampling as related to qualitative studies 265

Managerial implications 266

Summary 266

Discussion questions 268

14 Quantitative data analysis 271

Introduction 271

Getting the data ready for analysis 273

Getting a feel for the data 278

Excelsior enterprises: descriptive statistics part 1 287

Testing the goodness of measures 289

Excelsior enterprises: descriptive statistics part 2 293

Summary 296

Discussion questions 297

15 Quantitative data analysis: Hypothesis testing 300

Introduction 300

Type i errors, type ii errors, and statistical power 301

Choosing the appropriate statistical technique 302

Excelsior enterprises: hypothesis testing 323

Data warehousing, data mining, and operations research 326

Some software packages useful for data analysis 327

Summary 328

Discussion questions 329

16 Qualitative data analysis 332

Introduction 332

Three important steps in qualitative data analysis 332

Reliability and validity in qualitative research 348

Some other methods of gathering and analyzing qualitative data 350

Big data 351

Summary 351

Discussion questions 352

17 The research report 353

Introduction 353

The written report 354

Contents of the research report 357

Oral presentation 363

Summary 366

Discussion questions 367

Appendix: Examples 368

Report 1: sample of a report involving a descriptive study 368

Report 2: sample of a report offering alternative solutions and explaining the pros and cons of each alternative 371

Report 3: example of an abridged basic research report 373

A Final Note to Students 377

Statistical Tables 379

Research Methods for Business: A Skill-Building Approach is a concise and straightforward introduction for students to the world of business research. The skill-building approach provides students with practical perspectives on how research can be applied in real business situations. Maintaining Uma Sekaran’ s popular and accessible style of writing, Roger Bougie draws upon his extensive experience in the field to present an up-to-date guide on business research which is ideal for aspiring managers.

The seventh edition has been fully revised and updated to include cutting-edge examples and enriched pedagogical features designed to improve student learning outcomes. There is now an increased emphasis on the relationship between the scientific and the pragmatic approaches to research, while the key concepts are explored and applied to real-life research throughout the book.

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