Verfügbarkeit: Business research methods | Technische Universität München

Business research methods:

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Bibliographische Detailangaben
Vorheriger Titel:	Bryman, Alan Business research methods
Beteiligte Personen:	Bell, Emma 1968- (VerfasserIn), Bryman, Alan 1947-2017 (VerfasserIn), Harley, Bill (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press [2019]
Ausgabe:	Fifth edition
Schlagwörter:	Wirtschaftsforschung Forschungsmethode Operations Research Empirische Wirtschaftsforschung Betriebswirtschaftslehre Methode Empirische Sozialforschung Lehrbuch
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030476318&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	xli, 642 Seiten Illustrationen, Diagramme
ISBN:	9780198809876 0198809875

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Datensatz im Suchindex

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adam_text	BRIEF CONTENTS EESjone the research PROCESS 1 1 The nature and process of business research 3 2 Business research strategies 17 3 Research designs 44 4 Planning a research project and developing research questions 75 5 Getting started: reviewing the literature 89 6 Ethics in business research 109 7 Writing up business research 137 Eaarrwo quantitative research i6i 8 The nature of quantitative research 163 9 Sampling in quantitative research 185 10 Structured interviewing 207 11 Self-completion questionnaires 231 12 Asking questions 252 13 Quantitative research using naturally occurring data 272 14 Secondary analysis and official statistics 294 15 Quantitative data analysis 310 16 Using IBM SPSS statistics 333 HaalTHREE QUALITATIVE RESEARCH 353 17 The nature of qualitative research 355 18 Sampling in qualitative research 388 19 Ethnography and participant observation 403 20 Interviewing in qualitative research 433 21 Focus groups 462 22 Language in qualitative research 482 23 Documents as sources of data 499 24 Qualitative data analysis 517 25 Computer-assisted qualitative data analysis: using NVivo 538 ECSafOUR MIXED METHODS RESEARCH 555 26 Breaking down the quantitative/qualitative divide 557 27 Mixed methods research: combining quantitative and qualitative research 568 DETAILED CONTENTS Abbreviations xxvii About the authors xxviii About the students and supervisors xxx Guided tour of textbook features xxxii Guided tour of the online resources xxxiv About the book xxxvi Acknowledgements xlii Editorial Advisory Panel xliii HJJSone the research PROCESS 1 Chapter 1 The nature and process of business research 3 Introduction 4 What is ‘business research ? 4 Why do business research? 4 Business research methods in context 5 Relevance to practice 6 The process of business research 8 Literature review 8 Concepts and theories 8 Research questions 9 Sampling 11 Data collection 11 Data analysis 12 Writing up 12 The messiness of business research 13 Key points 15 Questions for review 15 Chapter 2 Business research strategies 17 Introduction: the nature of business research 18 Theory and research 19 What is theory? 19 Deductive and inductive logics of inquiry 20 Philosophical assumptions in business research 25 Ontological considerations 26 Objectivism 26 Constructionism 27 Epistemological considerations 29 A natural science epistemology: positivism 30 Interpretivism 30 Research paradigms 34 Detailed contents Developing a research strategy: quantitative or qualitative? 35 Other considerations 37 Values 37 Practicalities 39 Key points 42 Questions for review 42 Chapter 3 Research designs 44 Introduction 45 Quality criteria in business research 46 Reliability 46 Replicability 46 Validity 46 Research designs 48 Experimental design 48 Cross-sectional design 58 Longitudinal design 61 Case study design 63 Comparative design 68 Level of analysis 71 Bringing research strategy and research design together 72 Key points 73 Questions for review 73 Chapter 4 Planning a research project and developing research questions 75 Introduction 76 Getting to know what is expected of you by your university 76 Thinking about your research area 76 Using your supervisor 77 Managing time and resources 79 Developing suitable research questions 80 Criteria for evaluating research questions 85 Writing your research proposal 86 Checklist 87 Key points 88 Questions for review 88 Chapter 5 Getting started: reviewing the literature 89 Introduction 90 Reviewing the literature and engaging with what others have written 91 Reading critically 92 Systematic review 92 Narrative review 97 Searching databases 98 Online databases 98 Keywords and defining search parameters 100 Making progress 102 Referencing 103 The role of the bibliography 104 Detailed contents Avoiding plagiarism 105 Checklist 107 Key points 107 Questions for review 108 Chapter 6 Ethics in business research 109 Introduction 110 The importance of research ethics 112 Ethical principles 114 Avoida nee of ha rm 114 Informed consent 118 Privacy 123 Preventing deception 123 Other ethical and legal considerations 124 Data management 124 Copyright 125 Reciprocity and trust 126 Affiliation and conflicts of interest 127 Visual methods and research ethics 129 Ethical considerations in online research 130 The political context of business research 132 Checklist 135 Key points 135 Questions for review 136 Chapter 7 Writing up business research 137 Introduction 138 Writing academically 138 Writing up your research 140 Start early 141 Be persuasive 141 Get feedback 142 Avoid discriminatory language 142 Structure your writing 143 Writing up quantitative and qualitative research 147 An example of quantitative research 147 Introduction 148 Role congruity theory 148 Goals of the present study 148 Methods 149 Results 149 Discussion 149 Lessons 150 An example of qualitative research 152 Introduction 152 Loving to labour: identity in business schools 153 Methodology 153 Research findings 153 Discussion 153 Summary and conclusion 154 Lessons 155 Detailed contents Reflexivity and its implications for writing 156 Writing differently 156 Checklist 157 Key points 158 Questions for review 159 PARTI QUANTITATIVE RESEARCH 161 Chapter 8 The nature of quantitative research 163 Introduction 164 The main steps in quantitative research 164 Concepts and their measurement 167 What is a concept? 167 Why measure? 168 Indicators 168 Dimensions of concepts 169 Reliability of measures 172 Stability 172 Internal reliability 173 Inter-rater reliability 173 Validity of measures 174 Face validity 174 Concurrent validity 174 Predictive validity 174 Convergent validity 175 Discriminant validity 175 The connection between reliability and validity 175 The main preoccupations of quantitative researchers 175 Measurement 176 Causality 177 Generalization 177 Replication 178 The critique of quantitative research 180 Criticisms of quantitative research 181 Is it always like this? 182 Reverse operationism 182 Reliability and validity testing 182 Sampling 183 Key points 183 Questions for review 184 Chapter 9 Sampling in quantitative research 185 Introduction 186 Introduction to sampling 187 Sampling error 189 Types of probability sample 191 Simple random sample 191 Systematic sample 191 Stratified random sampling 192 Detailed contents Multi-stage cluster sampling 192 The qualities of a probability sample 193 Sample size 195 Absolute and relative sample size 195 Time and cost 196 Non-response 196 Heterogeneity of the population 197 Types of non-probability sampling 197 Convenience sampling 197 Quota sampling 198 Limits to generalization 201 Error in survey research 202 Sampling issues for online surveys 202 Key points 204 Questions for review 205 Chapter 10 Structured interviewing 207 Introduction 208 The structured interview 208 Reducing error due to interviewer variability 208 Accuracy and ease of data processing 210 Other types of interview 210 I nterview contexts 212 More than one interviewee 212 More than one interviewer 212 In person or by telephone? 212 Computer-assisted interviewing 214 Conducting interviews 215 Know the schedule 215 Introducing the research 215 Rapport 216 Asking questions 216 Recording answers 217 Clear instructions 217 Question order 217 Probing 219 Prompting 220 Leaving the interview 221 Training and supervision 221 Other approaches to structured interviewing 222 The critical incident method 222 Projective methods, pictorial methods, and photo-elicitation 223 The verbal protocol approach 226 Problems with structured interviewing 226 Characteristics of interviewers 226 Response sets 227 The problem of meaning 228 Key points 229 Questions for review 229 Detailed contents Chapter 11 Self-completion questionnaires 231 Introduction 232 Different kinds of self-completion questionnaires 232 Evaluating the self-completion questionnaire in relation to the structured interview 232 Advantages of the self-completion questionnaire over the structured interview 233 Disadvantages of the self-completion questionnaire in comparison to the structured interview 234 Steps to improve response rates to postal and online questionnaires 235 Designing the self-completion questionnaire 237 Do not cramp the presentation 237 Clear presentation 237 Vertical or horizontal closed answers? 238 Identifying response sets in a Likert scale 239 Clear instructions about how to respond 239 Keep question and answers together 240 Email and online surveys 240 Email surveys 240 Web-based surveys 241 Comparing modes of survey administration 242 Diaries as a form of self-completion questionnaire 245 Advantages and disadvantages of the diary as a method of data collection 247 Experience and event sampling 248 Key points 251 Questions for review 251 Chapter 12 Asking questions 252 Introduction 253 Open or closed questions? 253 Open questions 253 Closed questions 254 Types of question 256 Rules for designing questions 258 General rules of thumb 258 Specific rules when designing questions 258 Vignette questions 263 Piloting and pre-testing questions 265 Using existing questions 265 Checklist 268 Key points 269 Questions for review 270 Chapter 13 Quantitative research using naturally occurring data 272 Introduction 273 Structured observation 273 The observation schedule 275 Strategies for observing behaviour 275 Detailed contents Sampling for structured observation 276 Sampling people 276 Sampling in terms of time 276 Further sampling considerations 276 Issues of reliability and validity 278 Reliability 278 Validity 278 Criticisms of structured observation 279 On the other hand ... 280 Content analysis 280 What are the research questions? 281 Selecting a sample for content analysis 282 Sampling media 282 Sampling dates 282 What is to be counted? 283 Significant actors 283 Words 283 Subjects and themes 284 Dispositions 284 Images 284 Coding in content analysis 285 Coding schedule 286 Coding manual 286 Potential pitfalls in devising coding schemes 288 Advantages of content analysis 290 Disadvantages of content analysis 290 Key points 291 Questions for review 292 Chapter 14 Secondary analysis and official statistics 294 Introduction 295 Other researchers data 295 Advantages of secondary analysis 296 Limitations of secondary analysis 301 Accessi ng data a rc h ives 302 Archival proxies and meta-analysis 304 Official statistics 306 Reliability and validity 308 Official statistics as a form of unobtrusive measure 308 Key points 308 Questions for review 309 Chapter 15 Quantitative data analysis 310 Introduction 311 A small research project 311 Missing data 313 Types of variable 316 Univariate analysis 318 Freq uency ta bles 318 Diagrams 319 Detailed contents Measures of central tendency 320 Measures of dispersion 320 Bivariate analysis 321 Relationships, not causality 321 Contingency tables 322 Pearson s r 323 Spearman’s rho 324 Phi and Cramer s 1/ 325 Comparing means and eta 325 Multivariate analysis 326 Could the relationship be spurious? 326 Could there be an intervening variable? 326 Could a third variable moderate the relationship? 326 Statistical significance 327 The chi-square test 328 Correlation and statistical significance 330 Comparing means and statistical significance 330 Key points 331 Questions for review 331 Chapter 16 Using IBM SPSS statistics 333 Introduction 334 Getting started in SPSS 335 Beginning SPSS 335 Entering data in the Data Viewer 335 Defining variables: variable names, missing values, variable labels, and value labels 337 Recod i ng va ria bles 338 Computing a new variable 340 Data analysis with SPSS 341 Generating a frequency table 341 Generating a bar chart 342 Generating a pie chart 342 Generating a histogram 343 Generating the arithmetic mean, median, standard deviation, range, and boxplots 343 Generating a contingency table, chi-square, and Cramer’s V 343 Generating Pearson s rand Spearman’s rho 344 Generating scatter diagrams 345 Comparing means and eta 346 Generating a contingency table with three variables 346 Further operations in SPSS 347 Saving your data 347 Retrieving your data 351 Printing output 351 Key points 351 Questions for review 352 Detailed contents THREE QUALITATIVE RESEARCH 353 Chapter 17 The nature of qualitative research 355 Introduction 356 The main steps in qualitative research 357 Theory and research 360 Concepts in qualitative research 361 Reliability and validity in qualitative research 362 Adapting reliability and validity for qualitative research 362 Alternative criteria for evaluating qualitative research 363 Overview of the issue of criteria 365 The main preoccupations of qualitative researchers 366 Seeing through the eyes of people being studied 366 Description and emphasis on context 367 Emphasis on process 368 Flexibility and limited structure 369 Concepts and theory grounded in data 369 Not just words 369 The critique of qualitative research 374 Qualitative research is too subjective 374 Qualitative research is difficult to replicate 374 Problems of generalization 374 Lack of transparency 375 Is it always like this? 376 Contrasts between quantitative and qualitative research 376 Similarities between quantitative and qualitative research 378 Researcher-participant relationships 379 Action research 379 Feminism and qualitative research 381 Postcolonial and indigenous research 384 Key points 385 Questions for review 386 Chapter 18 Sampling in qualitative research 388 Introduction 389 Levels of sampling 390 Purposive sampling 391 Theoretical sampling 391 Generic purposive sampling 394 Snowball sampling 395 Sample size 397 Not just people 399 Using more than one sampling approach 400 Key points 401 Questions for review 401 Chapter 19 Ethnography and participant observation 403 Introduction 404 Organizational ethnography 405 Detailed contents Access 407 Overt versus covert? 410 Ongoing access 411 Key informants 413 Roles for ethnographers 413 Active or passive? 414 Shadowing 415 Field notes 416 Types of field notes 417 Bringing ethnographic fieldwork to an end 418 Feminist ethnography 419 Global and multi-site ethnography 420 Virtual ethnography 421 Visual ethnography 425 Writing ethnography 426 Realist tales 426 Other approaches 428 Key points 431 Questions for review 431 Chapter 20 Interviewing in qualitative research 433 Introduction 434 Differences between the structured interview and the qualitative interview 435 Asking questions in the qualitative interview 436 Preparing an interview guide 439 Kinds of questions 441 Using an interview guide: an example 443 Recording and transcription 445 Non-face-to-face interviews 450 Telephone interviewing 451 Online interviews 451 Interviews using Skype 452 Life history and oral history interviews 454 Feminist interviewing 455 Merits and limitations of qualitative interviewing 457 Advantages of qualitative interviews 457 Disadvantages of qualitative interviews 458 Checklist 459 Key points 460 Questions for review 460 Chapter 21 Focus groups 462 Introduction 463 Uses of focus groups 464 Conducting focus groups 465 Recording and transcription 465 Flow many groups? 466 Size of groups 468 Level of moderator involvement 468 Selecting participants 470 Detailed contents Asking questions 470 Beginning and finishing 471 Group interaction in focus group sessions 472 Online focus groups 473 The focus group as an emancipatory method 476 Limitations of focus groups 478 Checklist 479 Key points 480 Questions for review 480 Chapter 22 Language in qualitative research 482 Introduction 483 Discourse analysis 483 Main features of discourse analysis 484 Interpretive repertoires and detailed procedures 486 Critical discourse analysis 488 Narrative analysis 489 Rhetorical analysis 491 Conversation analysis 493 Overview 496 Key points 497 Questions for review 497 Chapter 23 Documents as sources of data 499 Introduction 500 Personal documents 500 Public documents 503 Organizational documents 504 Media outputs 506 Visual documents 507 Documents as ‘texts’ 510 I nterpreting documents 511 Qualitative content analysis 511 Semiotics 512 Historical analysis 512 Checklist 514 Key points 515 Questions for review 515 Chapter 24 Qualitative data analysis 517 Introduction 518 Thematic analysis 519 Grounded theory 521 Tools of grounded theory 521 Outcomes of grounded theory 522 Memos 524 Criticisms of grounded theory 525 More on coding 530 Steps and considerations in coding 531 Turning data into fragments 531 The critique of coding 533 Detailed contents Secondary analysis of qualitative data 534 Key points 537 Questions for review 537 Chapter 25 Computer-assisted qualitative data analysis: using NVivo 538 Introduction 539 Is CAQDAS like quantitative data analysis software? 539 No industry leader 539 Limited acceptance of CAQDAS 539 Learning NVivo 541 Coding 542 Searching data 550 Memos 552 Saving an NVivo project 553 Opening an existing NVivo project 553 Final thoughts 553 Key points 553 Questions for review 553 EflajFOUR MIXED METHODS RESEARCH 555 Chapter 26 Breaking down the quantitative/qualitative divide 557 Introduction 558 The natural science model and qualitative research 558 Quantitative research and interpretivism 560 Quantitative research and constructionism 561 Epistemological and ontological considerations 561 Problems with the quantitative/qualitative contrast 562 Behaviour versus meaning 562 Theory tested in research versus theory emergent from data 562 N u m bers versus words 562 Artificial versus natural 563 Reciprocal analysis 564 Qualitative analysis of quantitative data 564 Quantitative analysis of qualitative data 565 Quantification in qualitative research 565 Thematic analysis 565 Quasi-quantification in qualitative research 566 Combating anecdotalism through limited quantification 566 Key points 566 Questions for review 567 Chapter 27 Mixed methods research: combining quantitative and qualitative research 568 Introduction 569 The arguments against mixed methods research 569 The embedded methods argument 569 The paradigm argument 570 Two versions of the debate about quantitative and qualitative research 570 Detailed contents The rise of mixed methods research 571 Classifying mixed methods research in terms of priority and sequence 571 Different types of mixed methods design 573 Approaches to mixed methods research 574 The logic of triangulation 574 Qualitative research facilitates quantitative research 576 Quantitative research facilitates qualitative research 576 Filling in the gaps 576 Static and processual features 578 Research issues and participants’ perspectives 579 The problem of generality 579 Interpreting the relationship between variables 579 Studying different aspects of a phenomenon 581 Solving a puzzle 583 Quality issues in mixed methods research 585 Key points 586 Questions for review 586 Glossary 589 References 599 Name index 623 Subject index 629
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genre	(DE-588)4123623-3 Lehrbuch gnd-content
genre_facet	Lehrbuch
id	DE-604.BV045085423
illustrated	Illustrated
indexdate	2024-12-20T18:17:37Z
institution	BVB
isbn	9780198809876 0198809875
language	English
lccn	2018949231
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030476318
oclc_num	1078667772
open_access_boolean
owner	DE-20 DE-91 DE-BY-TUM DE-384 DE-739 DE-92 DE-1050 DE-526 DE-473 DE-BY-UBG DE-862 DE-BY-FWS DE-860 DE-706 DE-898 DE-BY-UBR DE-1043 DE-703 DE-1049 DE-83 DE-573 DE-2070s
owner_facet	DE-20 DE-91 DE-BY-TUM DE-384 DE-739 DE-92 DE-1050 DE-526 DE-473 DE-BY-UBG DE-862 DE-BY-FWS DE-860 DE-706 DE-898 DE-BY-UBR DE-1043 DE-703 DE-1049 DE-83 DE-573 DE-2070s
physical	xli, 642 Seiten Illustrationen, Diagramme
publishDate	2019
publishDateSearch	2019
publishDateSort	2019
publisher	Oxford University Press
record_format	marc
spellingShingle	Bell, Emma 1968- Bryman, Alan 1947-2017 Harley, Bill Business research methods Wirtschaftsforschung (DE-588)4124477-1 gnd Forschungsmethode (DE-588)4155046-8 gnd Operations Research (DE-588)4043586-6 gnd Empirische Wirtschaftsforschung (DE-588)4014609-1 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Methode (DE-588)4038971-6 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd
subject_GND	(DE-588)4124477-1 (DE-588)4155046-8 (DE-588)4043586-6 (DE-588)4014609-1 (DE-588)4069402-1 (DE-588)4038971-6 (DE-588)4014606-6 (DE-588)4123623-3
title	Business research methods
title_auth	Business research methods
title_exact_search	Business research methods
title_full	Business research methods Emma Bell, Alan Bryman, Bill Harley
title_fullStr	Business research methods Emma Bell, Alan Bryman, Bill Harley
title_full_unstemmed	Business research methods Emma Bell, Alan Bryman, Bill Harley
title_old	Bryman, Alan Business research methods
title_short	Business research methods
title_sort	business research methods
topic	Wirtschaftsforschung (DE-588)4124477-1 gnd Forschungsmethode (DE-588)4155046-8 gnd Operations Research (DE-588)4043586-6 gnd Empirische Wirtschaftsforschung (DE-588)4014609-1 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Methode (DE-588)4038971-6 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd
topic_facet	Wirtschaftsforschung Forschungsmethode Operations Research Empirische Wirtschaftsforschung Betriebswirtschaftslehre Methode Empirische Sozialforschung Lehrbuch
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030476318&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT bellemma businessresearchmethods AT brymanalan businessresearchmethods AT harleybill businessresearchmethods

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