Business research methods:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford University Press
[2015]
|
| Ausgabe: | Fourth edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxxvi, 778 Seiten Illustrationen |
| ISBN: | 9780199668649 |
Internformat
MARC
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Datensatz im Suchindex
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|---|---|
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| DE-BY-FWS_katkey | 628560 |
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| _version_ | 1806176587976015872 |
| adam_text | rief contents
Part One The research process
1 The nature and process of business research 3
2 Business research strategies 18
3 Research designs 47
4 Planning a research project and formulating research questions 80
5 Getting started: reviewing the literature 99
6 Ethics and politics in business research 128
7 The nature of quantitative research 159
8 Sampling in quantitative research 183
9 Structured interviewing 209
10 Seif-completion questionnaires 238
11 Asking questions 256
12 Structured observation 278
13 Content analysis 297
14 Secondary analysis and official statistics 318
15 Quantitative data analysis 339
16 Using IBM SPSS statistics 364
17 The nature of qualitative research 391
18 Sampling in qualitative research 427
19 Ethnography and participant observation 442
20 Interviewing in qualitative research 478
21 Focus groups 511
22 Language in qualitative research 529
23 Documents as sources of data 553
24 Qualitative data analysis 578
25 Computer-assisted qualitative data analysis: using NVivo 605 26 27 28 29
26 Breaking down the quantitative/qualitative divide 625
27 Mixed methods research: combining quantitative and qualitative research 640
28 E-research: Internet research methods 661
29 Writing up business research 691
¡led contents
Abbreviations xx
About the authors xxii
About the students and supervisors xxiii
Guided tour of textbook features xxvi
Guided tour of the Online Resource Centre xxviii
About the book xxx
Acknowledgements xxxvii
Part One The research process
Chapter 1 The nature and process of business research 3
Introduction 4
What is meant by ‘business research? 5
Why do business research? 5
Business research methods in context 5
Relevance to practice 7
The process of business research 9
Literature review 9
Concepts and theories 9
Research questions 10
Sampling 12
Data collection 12
Data analysis 13
Writing up 13
The messiness of business research 15
Key points 16
Questions for review 16
Chapter 2 Business research strategies 18
Introduction: the nature of business research 19
Theory and research 20
What type of theory? 20
Deductive and inductive theory 23
Epistemological considerations 26
A natural science epistemology: positivism 27
Interpretivism 28
Ontological considerations 32
Objectivism 32
Constructionism 32
Epistemology and ontology in business research 34
Competing paradigms 35
• · ·
VIII Detailed contents
Research strategy: quantitative and qualitative 37
Influences and politics on the conduct of business research 39
Values 40
Practical considerations 42
Key points 45
Questions for review 45
Chapter 3 Research designs 47
Introduction 48
Quality criteria in business research 49
Reliability 49
Replication 50
Validity 50
Research designs 53
Experimental design 53
Cross-sectional design 61
Longitudinal design(s) 66
Case study design 67
Comparative design 72
Level of analysis 75
Bringing research strategy and research design together 76
Key points 78
Questions for review 78
Chapter 4 Planning a research project and formulating
research questions 80
Introduction 81
Getting to know what is expected of you by your institution 81
Thinking about your research area 82
Using your supervisor 83
Managing time and resources 85
Formulating suitable research questions 87
Criteria for evaluating research questions 93
Writing your research proposal 94
Preparing for your research 94
Doing your research and analysing your results 95
Checklist 97
Key points 98
Questions for review 98
Chapter 5 Getting started: reviewing the literature 99
Introduction 100
Reviewing the existing literature and engaging with
what others have written 100
Getting the most from your reading 103
Systematic review 104
Narrative review 110
Searching the existing literature and looking for
business information 111
Electronic databases 112
Keywords and defining search parameters 116
Referencing your work 118
The role of the bibliography 122
Avoiding plagiarism 123
Checklist 125
Key points 126
Questions for review 126
Chapter 6 Ethics and politics in business research 128
Introduction 129
Ethical principles 134
Harm to participants 135
Lack of informed consent 139
Invasion of privacy 143
Deception 144
Ethics and legal considerations 145
Data management 146
Copyright 147
Reciprocity and trust · 147
Affiliation and conflicts of interest 149
The difficulties of ethical decision-making 150
The politics of business research 151
Checklist 154
Key points 155
Questions for review 155
Chapter 7 The nature of quantitative research 159
Introduction 160
The main steps in quantitative research 160
Concepts and their measurement 163
What is a concept? 163
Why measure? 164
Indicators 164
Using multiple-indicator measures 167
Dimensions of concepts 167
Reliability 168
Stability 168
Internal reliability 168
Inter-rater reliability 170
Validity 170
Face validity 170
Concurrent validity 170
Predictive validity 171
Construct validity 171
Convergent validity 171
Discriminant validity 172
Reflections on reliability and validity 172
The main preoccupations of quantitative researchers 174
Measurement 174
Causality 174
Generalization 174
Replication 176
The critique of quantitative research 178
Criticisms of quantitative research 179
Is it always like this? 180
Reverse operationism 180
Reliability and validity testing 181
Sampling 181
Key points 181
Questions for review 182
Chapter 8 Sampling in quantitative research 183
Introduction 184
Introduction to sampling 186
Sampling error 189
Types of probabi I ity sample 190
Simple random sample 190
Systematic sample ■ 191
Stratified random sampling 191
Multi-stage cluster sampling 192
The qualities of a probability sample 195
Sample size 197
Absolute and relative sample size 198
Time and cost 198
Non-response 199
Heterogeneity of the population 200
Kind of analysis 200
Types of non-probability sampling 200
Convenience sampling 200
Quota sampling 202
Limits to generalization 205
Error in survey research 206
Key points 207
Questions for review 207
Chapter 9 Structured interviewing 209
Introduction 210
The structured interview 211
Reducing error due to interviewer variability 211
Accuracy and ease of data processing 212
Other types of interview 213
I ntervie w contexts 214
More than one interviewee 214
More than one interviewer 215
In person or by telephone? 215
Computer-assisted interviewing 217
Conducting interviews 218
Know the schedule 218
Introducing the research 218
Rapport 219
Asking questions 219
Recording answers 220
Clear instructions 221
Question order 221
Probing 223
Prompting 224
Leaving the interview 225
Training and supervision 225
Other approaches to structured interviewing 226
Critical incident method 226
Projective methods, pictorial and photo-elicitation 227
Verbal protocol approach 228
Repertory grid technique 229
Problems with structured interviewing 233
Characteristics of interviewers 233
Response sets 233
The problem of meaning 235
The feminist critique 235
Key points 235
Questions for review 236
Chapter 10 Self-completion questionnaires 238
Introduction 239
Self-completion questionnaire or postal questionnaire? 239
Evaluating the self-completion questionnaire in relation
to the structured interview 240
Advantages of the self-completion questionnaire over
the structured interview 240
Disadvantages of the self-completion questionnaire
in comparison to the structured interview 241
Steps to improve response rates to postal questionnaires 242
Designing the self-completion questionnaire 245
Do not cramp the presentation 245
Clear presentation 246
Vertical or horizontal closed answers? 246
Identifying response sets in a Likert scale 246
Clear instructions about how to respond 248
Keep question and answers together 248
Diaries as a form of self-completion questionnaire 248
Advantages and disadvantages of the diary as a
method of data collection 251
Experience and event sampling 251
Key points 254
Questions for review 254
Chapter 11 Asking questions 256
Introduction 257
Open or closed questions? 257
Open questions 257
Closed questions 259
Types of question 262
Rules for designing questions 264
General rules of thumb 264
Specific rules when designing questions 265
Vignette questions 270
Piloting and pre-testing questions 272
Using existing questions 272
Checklist 274
Key points 276
Questions for review 276
Chapter 12 Structured observation 278
Introduction 279
Problems with survey research on behaviour 279
So why not observe behaviour? 280
The observation schedule 284
Strategies for observing behaviour 285
Sampling 286
Sampling people 286
Sampling in terms of time 286
Further sampling considerations 287
Issues of reliability and validity 288
Reliability 288
Validity 289
Other forms of structured observation 290
Field stimulation 290
Organizational simulation 292
Criticisms of structured observation 294
On the other hand... 294
Checklist 295
Key points 295
Questions for review 296
Chapter 13 Content analysis 297
Introduction 298
What are the research questions? 301
Selecting a sample 301
Sampling media 301
Sampling dates 302
What is to be counted? 303
Significant actors 303
Words 303
Subjects and themes 304
Dispositions 306
Images 306
Coding 307
Coding schedule 307
Coding manual 308
Potential pitfalls in devising coding schemes 308
Advantages of content analysis 312
Disadvantages of content analysis 315
Checklist 316
Key points 316
Questions for review 317
Chapter 14 Secondary analysis and official statistics 318
Introduction 319
Other researchers’ data 320
Advantages of secondary analysis 320
Limitations of secondary analysis 328
Accessing the UK Data Archive 330
Archival proxies and meta-analysis 330
Official statistics 333
Reliability and validity 334
Condemning and resurrecting official statistics 335
Official statistics as a form of unobtrusive measure 335
Key points 338
Questions for review 338
Chapter 15 Quantitative data analysis 339
Introduction 340
A small research project 341
Missing data 343
Types of variable 345
Univariate analysis 347
Frequency tables 347
Diagrams 348
Measures of central tendency 349
Measures of dispersion 349
Bivariate analysis 351
Relationships not causality 351
Contingency tables 352
Pearson’s r 352
Spearman’s rho 354
Phi and Cramer’s V 354
Comparing means and eta 355
Multivariate analysis 355
Could the relationship be spurious? 355
Could there be an intervening variable? 356
Could a third variable moderate the relationship? 357
Statistical significance 357
The chi-square test 360
Correlation and statistical significance 360
Comparing means and statistical significance 361
Checklist 361
Key points 362
Questions for review 362
Chapter 16 Using IBM SPSS statistics 364
Introduction 365
Getting started in SPSS 366
Beginning SPSS 366
Entering data in the Data Viewer 367
Defining variables: variable names, missing values,
variable labels, and value labels 368
Recoding variables 369
Computing a new variable 372
Detailed contents
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Data analysis with SPSS 373
Generating a frequency table 373
Generating a barchart 375
Generating a pie chart 375
Generating a histogram 376
Generating the arithmetic mean, median,
standard deviation, range, and boxplots 377
Generating a contingency table, chi-square, and Cramer’s V 377
Generating Pearson’s r and Spearman’s rho 379
Generating scatter diagrams 379
Comparing means and eta 382
Generating a contingency table with three variables 383
Further operations in SPSS 385
Saving your data 385
Retrieving your data 386
Printing output 386
Key points 386
Questions for review 386
Part Three Qualitative research
Chapter 17 The nature of qualitative research 391
Introduction 392
The main steps in qualitative research 395
Theory and research 397
Concepts in qualitative research 398
Reliability and validity in qualitative research 399
Adapting reliability and validity for qualitative research 400
Alternative criteria for evaluating qualitative research 400
The main preoccupations of qualitative researchers 404
Seeing through the eyes of the people being studied 404
Description and the emphasis on context 406
Emphasis on process 407
Flexibility and limited structure 408
Concepts and theory grounded in data 409
Not just words 409
The critique of qualitative research 413
Qualitative research is too subjective 413
Difficult to replicate 414
Problems of generalization 414
Lack of transparency 414
Is it always like this? 415
Some contrasts between quantitative and qualitative research 416
Some similarities between quantitative and qualitative research 417
Researcher-subject relationships 418
Action research 418
Feminism and qualitative research 420
Collaborative and participatory research 422
Postcolonial and indigenous research 422
Key points 424
Questions for review 425
Chapter 18 Sampling in qualitative research 427
Introduction 428
Levels of sampling 429
Purposive sampling 430
Theoretical sampling 431
Generic purposive sampling 433
Snowball sampling 434
Sample size 436
Not just people 438
Using more than one sampling approach 439
Key points 440
Questions for review 440
Chapter 19 Ethnography and participant observation 442
Introduction 443
Organizational ethnography 444
Global and multi site ethnography 447
Access 448
Overt versus covert? 452
Ongoing access 454
Key informants 455
Roles for ethnographers 456
Active or passive? 459
Shadowing 460
Field notes 461
Types of field notes 462
Bringing ethnographic fieldwork to an end 463
Feminist and institutional ethnography 464
Visual ethnography 466
Writing ethnography 471
Experiential authority 471
Typical forms 472
Key points 476
Questions for review 476
Chapter 20 Interviewing in qualitative research 478
Introduction 479
Differences between the structured interview
and the qualitative interview 480
Asking questions in the qualitative interview 481
Preparing an interview guide 486
Kinds of questions 490
Using an interview guide: an example 492
Recording and transcription 494
Telephone interviewing 497
Life history and oral history interviews 501
Feminist research and interviewing in qualitative research 503
Qualitative interviewing versus participant observation 504
Advantages of participant observation in comparison
to qualitative interviewing 505
XVI Detailed contents
WmSm-
Advantages of qualitative interviewing in comparison
to participant observation 506
Overview 508
Checklist 508
Key points 509
Questions for review 509
Chapter 21 Focus groups 511
Introduction 512
Uses of focus groups 513
Conducting focus groups 515
Recording and transcription 515
How many groups? 516
Size of groups 517
Level of moderator involvement 519
Selecting participants 520
Asking questions 521
Beginning and finishing 521
Group interaction in focus group sessions 522
The focus group as a feminist method 523
Limitations of focus groups 525
Checklist 527
Key points 528
Questions for review 528
Chapter 22 Language in qualitative research 529
Introduction 530
Fine-grained approaches 530
Conversation analysis 531
Discourse analysis 535
Narrative analysis 541
Rhetorical analysis 544
Context-sensitive approaches 547
Critical discourse analysis 547
Overview 549
Key points 551
Questions for review 551
Chapter 23 Documents as sources of data 553
Introduction 554
Personal documents 555
Public documents 558
Organizational documents 561
Mass media outputs 562
Visual documents 564
Virtual documents 567
The world as text 567
The reality of documents 568
Interpreting documents 569
Qualitative content analysis 569
Semiotics 570
«
Detailed contents XVII
Historical analysis 572
Checklist 575
Key points 575
Questions for review 576
Chapter 24 Qualitative data analysis 578
Introduction 579
General strategies of qualitative data analysis 581
Analytic induction 581
Grounded theory 584
More on coding 594
Steps and considerations in coding 595
Turning data into fragments 595
Problems with coding 597
Thematic analysis 599
Secondary analysis of qualitative data 601
Key points 604
Questions for review 604
Chapter 25 Computer-assisted qualitative data analysis: using NVivo 605
Introduction 606
Is CAQDAS like quantitative data analysis software? 606
No industry leader 607
Lack of universal agreement about the utility of CAQDAS 607
Learning NVivo 608
Coding 609
Searching text 615
Memos 618
Saving an NVivo project 619
Opening an existing NVivo project 619
Final thoughts 620
Key points 621
Questions for review 622
Part Four Mixed methods research and other considerations
Chapter 26 Breaking down the quantitative/qualitative divide 625
Introduction 626
The natural science model and qualitative research 627
Quantitative research and interpretivism 629
Quantitative research and constructionism 630
Epistemological and ontological considerations 631
Problems with the quantitative/qualitative contrast 631
Behaviour versus meaning 631
Theory tested in research versus emergent from data 632
Numbers versus words 633
Artificial versus natural 633
Reciprocal analysis 635
Qualitative analysis of quantitative data 635
Quantitative analysis of qualitative data 635
Quantification in qualitative research 636
XVIII Detailed contents
Thematic analysis 636
Quasi-quantification in qualitative research 637
Combating anecdotalism through limited quantification 637
Key points 638
Questions for review 638
Chapter 27 Mixed methods research: combining quantitative
and qualitative research 640
Introduction 641
The argument against mixed methods research 642
The embedded methods argument 642
The paradigm argument 642
Two versions of the debate about quantitative and
qualitative research 643
The rise of mixed methods research 643
Classifying mixed methods research in terms of priority
and sequence 644
Different types of mixed methods design 646
Approaches to mixed methods research 647
The logic of triangulation 647
Qualitative research facilitates quantitative research 649
Quantitative research facilitates qualitative research 650
Filling in the gaps 651
Static and processual features 652
Research issues and participants’ perspectives 652
The problem of generality 653
Qualitative research may facilitate the interpretation of
the relationship between variables 653
Studying different aspects of a phenomenon 656
Solving a puzzle 657
Quality issues in mixed methods research 658
Key points 660
Questions for review 660
Chapter 28 E-research: Internet research methods 661
Introduction 662
The Internet as object of analysis 662
Using websites to collect data from individuals 665
Virtual ethnography 667
Qualitative research using online focus groups 670
Qualitative research using online personal interviews 673
Using Skype 675
Online social surveys 675
Email surveys 676
Web surveys 676
Mixed modes of survey administration 678
Sampling issues 679
Overview 685
Ethical considerations in e-research 685
The state of e-research 689
Key points 689
Questions for review 689
Chapter 29 Writing up business research 691
Introduction 692
Writing up your research 693
Start early 693
Be persuasive 695
Get feedback 695
Avoid sexist, racist, and disablist language 697
Structure your writing 697
Writing up quantitative, qualitative, and mixed methods research 700
An example of quantitative research 700
Introduction 700
Theory and hypotheses 702
Methods 702
Results 702
Discussion 702
Lessons 703
An example of qualitative research 705
Introduction 705
Review of the literature 706
Methods 706
Presentation of main themes 706
Discussion 708
Implications 709
Lessons 709
An example of mixed methods research 709
Introduction 711
The Russian context 711
Organizational culture and effectiveness 711
Research questions 712
Testing the model: a comparative study 712
Taking a closer look: four case studies 712
Discussion 713
Lessons 714
Reflexivity 714
Writing academically 715
Checklist 718
Key points 719
Questions for review 720
Glossary 721
References 731
Index of names 758
Subject index 764
|
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| edition | Fourth edition |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV042361911 |
| illustrated | Illustrated |
| indexdate | 2024-08-01T11:23:41Z |
| institution | BVB |
| isbn | 9780199668649 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027798347 |
| oclc_num | 910649734 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-739 DE-355 DE-BY-UBR DE-2070s DE-188 DE-1049 DE-384 DE-N2 DE-1043 DE-473 DE-BY-UBG DE-703 DE-522 DE-M347 DE-521 DE-862 DE-BY-FWS |
| owner_facet | DE-91 DE-BY-TUM DE-739 DE-355 DE-BY-UBR DE-2070s DE-188 DE-1049 DE-384 DE-N2 DE-1043 DE-473 DE-BY-UBG DE-703 DE-522 DE-M347 DE-521 DE-862 DE-BY-FWS |
| physical | xxxvi, 778 Seiten Illustrationen |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Oxford University Press |
| record_format | marc |
| spellingShingle | Bryman, Alan 1947-2017 Bell, Emma 1968- Business research methods Methode (DE-588)4038971-6 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Empirische Wirtschaftsforschung (DE-588)4014609-1 gnd Operations Research (DE-588)4043586-6 gnd Forschungsmethode (DE-588)4155046-8 gnd Wirtschaftsforschung (DE-588)4124477-1 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4014606-6 (DE-588)4069402-1 (DE-588)4014609-1 (DE-588)4043586-6 (DE-588)4155046-8 (DE-588)4124477-1 (DE-588)4123623-3 |
| title | Business research methods |
| title_auth | Business research methods |
| title_exact_search | Business research methods |
| title_full | Business research methods Alan Bryman & Emma Bell |
| title_fullStr | Business research methods Alan Bryman & Emma Bell |
| title_full_unstemmed | Business research methods Alan Bryman & Emma Bell |
| title_short | Business research methods |
| title_sort | business research methods |
| topic | Methode (DE-588)4038971-6 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Empirische Wirtschaftsforschung (DE-588)4014609-1 gnd Operations Research (DE-588)4043586-6 gnd Forschungsmethode (DE-588)4155046-8 gnd Wirtschaftsforschung (DE-588)4124477-1 gnd |
| topic_facet | Methode Empirische Sozialforschung Betriebswirtschaftslehre Empirische Wirtschaftsforschung Operations Research Forschungsmethode Wirtschaftsforschung Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027798347&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT brymanalan businessresearchmethods AT bellemma businessresearchmethods |
Inhaltsverzeichnis
THWS Schweinfurt Zentralbibliothek Lesesaal
| Signatur: |
2000 QB 100 B916(4) |
|---|---|
| Exemplar 1 | ausleihbar Verfügbar Bestellen |