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Research methods for business students

Author: Saunders, Mark ; Lewis, Philip ; Thornhill, AdrianPublisher: Financial Times, 2007. ; Prentice Hall, 2007.Edition: 4th ed.Language: EnglishDescription: 624 p. : Graphs/Ill. ; 27 cm.ISBN: 0273701487Type of document: BookNote: Doriot: for 2018-2019 courses Bibliography/Index: Includes bibliographical references and index and glossary
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book (short loan) Asia Campus
Textbook Collection
Print Z10 .S38 2007
(Browse shelf)
900204861
Available 900204861
Book Asia Campus
Textbook Collection (PhD)
Print Z10 .S38 2007
(Browse shelf)
900178167
Consultation only 900178167
Book Europe Campus
Main Collection
Print Z10 .S38 2007
(Browse shelf)
001179385
Available 001179385
Book Europe Campus
Main Collection
Print Z10 .S38 2007
(Browse shelf)
001225147
Available 001225147
Total holds: 0

Doriot: for 2018-2019 courses

Includes bibliographical references and index and glossary

Digitized

Research Methods for Business Students Contents How to use this book Guided tour Preface Contributors Publisher's acknowledgements xiii xvii xx xxii xxiv 1 The nature of business and management research and structure of this book Mark Saunders, Philip Lewis and Adrian Thornhill 2 2 2 4 5 8 9 13 14 14 14 15 15 Learning outcomes 1.1 Introduction 1.2 The nature of research 1.3 The nature of business and management research 1.4 The research process 1.5 The purpose and structure of this book 1.6 Summary Self-check questions Review and discussion questions References Further reading Self-check answers 2 Formulating and clarifying the research topic Mark Saunders, Philip Lewis and Adrian Thornhill 18 18 18 19 21 30 38 46 46 47 47 48 49 50 51 Learning outcomes 2.1 Introduction 2.2 Attributes of a good research topic 2.3 Generating and refining research ideas 2.4 Turning research ideas into research projects 2.5 Writing your research proposal 2.6 Summary Self-check questions Review and discussion questions Progressing your research project: From research ideas to a research proposal References Further reading Case 2: Catherine Chang and women in management Mark Saunders, Philip Lewis and Adrian Thornhill Self-check answers 3 Critically reviewing the literature Mark Saunders, Philip Lewis, Adrian Thornhill, Martin Jenkins and Darren Bolton 54 54 54 57 64 70 74 86 88 91 92 93 93 94 95 96 97 Learning outcomes 3.1 Introduction 3.2 The critical review 3.3 Literature sources available 3.4 Planning your literature search strategy 3.5 Conducting your literature search 3.6 Obtaining and evaluating the literature 3.7 Recording the literature 3.8 Summary Self-check questions Review and discussion questions Progressing your research project: Critically reviewing the literature References Further reading Case 3: National cultures and management styles Mike Savvas Self-check answers 4 Understanding research philosophies and approaches Mark Saunders, Philip Lewis and Adrian Thornhill 100 100 100 101 117 121 122 122 123 124 125 126 127 Learning outcomes 4.1 Introduction 4.2 Understanding your research philosophy 4.3 Research approaches 4.4 Summary Self-check questions Review and discussion questions Progressing your research project: Diagnosing your research philosophy References Further reading Case 4: Marketing music products alongside emerging digital music channels Rick Colbourne Self-check answers 5 Formulating the research design Mark Saunders, Philip Lewis and Adrian Thornhill 130 130 130 132 135 145 148 Learning outcomes 5.1 Introduction 5.2 The purpose of your research 5.3 The need for a clear research strategy 5.4 Multiple methods choices -- combining quantitative and qualitative techniques and procedures 5.5 Time horizons 5.6 The credibility of research findings 5.7 The ethics of research design 5.8 Summary Self-check questions Review and discussion questions Progressing your research project: Deciding on your research design References Further reading Case 5: The international marketing management decisions of UK ski tour operators Angela Roper 149 153 153 154 155 155 155 157 158 160 Self-check answers 6 Negotiating access and research ethics Mark Saunders, Philip Lewis and Adrian Thornhill 162 162 162 163 167 178 195 196 196 197 197 198 199 200 Learning outcomes 6.1 Introduction 6.2 Problems associated with access 6.3 Strategies to gain access 6.4 Research ethics 6.5 Summary Self-check questions Review and discussion questions Progressing your research project: Negotiating access and addressing ethical issues References Further reading Case 6: Mystery customer research in restaurant chains Teresa Smallbone Self-check answers 7 Selecting samples Mark Saunders, Philip Lewis and Adrian Thornhill 204 204 204 208 226 234 235 237 238 238 239 240 242 Learning outcomes 7.1 Introduction 7.2 Probability sampling 7.3 Non-probability sampling 7.4 Summary Self-check questions Review and discussion questions Progressing your research project: Using sampling as part of your research References Further reading Case 7: Auditor independence and integrity in accounting firms Christopher Cowton Self-check answers 8 Using secondary data Mark Saunders, Philip Lewis, Adrian Thornhill, Martin Jenkins and Darren Bolton 246 246 246 248 253 257 263 272 273 273 274 274 276 277 279 Learning outcomes 8.1 Introduction 8.2 Types of secondary data and uses in research 8.3 Locating secondary data 8.4 Advantages and disadvantages of secondary data 8.5 Evaluating secondary data sources 8.6 Summary Self-check questions Review and discussion questions Progressing your research project: Assessing the suitability of secondary data for your research References Further reading Case 8: Small firms internationalisation Sharon Loane Self-check answers 9 Collecting primary data through observation Mark Saunders, Philip Lewis and Adrian Thornhill 282 282 282 283 286 289 293 297 302 302 303 303 304 304 306 308 Learning outcomes 9.1 Introduction 9.2 Participant observation: an introduction 9.3 Participant observation: researcher roles 9.4 Participant observation: data collection and analysis 9.5 Structured observation: an introduction 9.6 Structured observation: data collection and analysis 9.7 Summary Self-check questions Review and discussion questions Progressing your research project: Deciding on the appropriateness of observation References Further reading Case 9: Exploring service quality in bank customers' face-to-face experiences Cathy Leng Self-check answers 10 Collecting primary data using semi-structured, in-depth and group interviews Mark Saunders, Philip Lewis and Adrian Thornhill 310 310 310 311 Learning outcomes 10.1 Introduction 10.2 Types of interview and their link to the purposes of research and research strategy 10.3 Situations favouring non-standardised (qualitative) interviews 10.4 Data quality issues and preparing for the interview 10.5 Interviewing competence 10.6 Managing logistical and resource issues 10.7 Group interviews and focus groups 10.8 Telephone, Internet- and intranet-mediated interviews 10.9 Summary Self-check questions Review and discussion questions Progressing your research project: Using semi-structured or in-depth interviews in your research References Further reading Case 10: Equal opportunities in the publishing industry Catherine Cassell 314 317 329 335 337 341 344 344 345 346 346 348 349 351 Self-check answers 11 Collecting primary data using questionnaires Mark Saunders, Philip Lewis and Adrian Thornhill 354 354 354 356 361 364 387 394 394 396 397 398 399 400 402 Learning outcomes 11.1 Introduction 11.2 An overview of questionnaire techniques 11.3 Deciding what data need to be collected 11.4 Designing the questionnaire 11.5 Administering the questionnaire 11.6 Summary Self-check questions Review and discussion questions Progressing your research project: Using questionnaires in your research References Further reading Case 11: Service quality in health care supply chains David Bryde and Joanne Meehan Self-check answers 12 Analysing quantitative data Mark Saunders, Philip Lewis, Adrian Thornhill and Catherine Wang 406 406 406 408 420 433 440 458 459 461 462 Learning outcomes 12.1 Introduction 12.2 Preparing, inputting and checking data 12.3 Exploring and presenting data 12.4 Describing data using statistics 12.5 Examining relationships, differences and trends using statistics 12.6 Summary Self-check questions Review and discussion questions Progressing your research project: Analysing your data quantitatively References Further reading Case 12: The impact of family ownership on financial performance Aleksandar Sevic and Zeljko 462 464 465 466 Self-check answers 13 Analysing qualitative data Mark Saunders, Philip Lewis and Adrian Thornhill 470 470 470 472 474 478 487 489 492 505 505 508 508 508 509 510 511 512 515 Learning outcomes 13.1 Introduction 13.2 Differences between qualitative and quantitative data 13.3 Preparing your data for analysis 13.4 An overview of qualitative analysis 13.5 Approaches to qualitative analysis 13.6 Deductively-based analytical procedures 13.7 Inductively-based analytical procedures 13.8 Quantifying your qualitative data 13.9 Using CAQDAS for qualitative analysis 13.10 Summary Self-check questions Review and discussion questions Progressing your research project: Analysing your data qualitatively References Further reading Case 13: Internet abuse in universities Teresa Waring Self-check answers 14 Writing and presenting your project report Mark Saunders, Philip Lewis and Adrian Thornhill 518 518 518 520 523 533 536 540 542 546 546 547 547 548 548 550 551 Learning outcomes 14.1 Introduction 14.2 Getting started with writing 14.3 Structuring your project report 14.4 Organising the project report's content 14.5 Developing an appropriate writing style 14.6 Meeting the assessment criteria 14.7 Oral presentation of the report 14.8 Summary Self-check questions Review and discussion questions Progressing your research project: Writing your project report References Further reading Case 14: Akasma's draft disappointment Mark Saunders, Philip Lewis and Adrian Thornhill Self-check answers Bibliography 553 Appendices 1 Example research project titles 2 Systems of referencing 3 Calculating the minimum sample size 4 Random sampling numbers 5 Guidelines for non-discriminatory language Glossary Index 567 578 585 587 588 591 615

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