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Summary
Summary
This is the ideal companion for those needing guidance when carrying out a research project in a management or a business-related subject. The text is succinct and concise, written with modular courses in mind for the reader to quickly gain an overall perspective of the fundamental areas and identify the key points that need to be addressed. This clear and practical book also covers the requirements of more general areas of business research and consultancy. New to this edition is a chapter devoted to the analysis of qualitative data - an area many students find they want to focus on. A new accompanying student website also gives practical guidance on some of the problems students face: assistance with writing a research proposal; the structure of a dissertation; collecting data - how much is enough; citing references; links to other resources. Dissertations and projects form an integral part of many MBA and degree programmes and this text is invaluable when tackling this area for the first time. The authors approach the research task in a step-by-step manner, covering areas such as data collection, observational methods, and data analysis.
Table of Contents
About the Authors | p. ix |
Acknowledgements | p. xi |
1 Introduction | p. 1 |
1.1 Background and major themes | p. 1 |
1.2 Using this book | p. 4 |
1.3 Chapter structure/studying each chapter | p. 6 |
1.4 The research/consultancy project | p. 7 |
1.5 Concluding comments | p. 8 |
2 Managing Your Development as a Manager | p. 10 |
Learning outcomes | p. 10 |
2.1 The importance of continued professional development for the manager | p. 11 |
2.2 Approaches to professional development: self-development | p. 12 |
2.3 Action learning: process and principles | p. 14 |
2.4 Working with and learning from others | p. 15 |
2.5 Planning a self-development program | p. 16 |
2.6 Concluding comments | p. 20 |
2.7 References | p. 20 |
2.8 Glossary | p. 20 |
3 Introduction to Research in Management | p. 21 |
Learning outcomes | p. 21 |
3.1 The theoretical antecedents to management research: epistemological versus ontological orientations | p. 22 |
3.2 Deductive versus inductive research | p. 23 |
3.3 Nomothetic versus ideographic research | p. 32 |
3.4 Problems and issues in management consultancy-type research | p. 36 |
3.5 Concluding comments | p. 39 |
3.6 References | p. 39 |
3.7 Glossary | p. 40 |
4 Management Consultancy and Research | p. 42 |
Learning outcomes | p. 42 |
4.1 The consultant and consultancy: development and meaning | p. 43 |
4.2 Why organizations use consultants: advantages and contributions | p. 44 |
4.3 Disadvantages and limitations of management consultants | p. 46 |
4.4 Management consultancy: types, roles, and activities | p. 48 |
4.5 Internal versus external consultants | p. 53 |
4.6 Developments in management consultancy approaches and techniques | p. 54 |
4.7 Professional and ethical issues in management consultancy and research | p. 55 |
4.8 Concluding comments | p. 56 |
4.9 References | p. 56 |
4.10 Glossary | p. 57 |
5 The Consultancy Research Process | p. 58 |
Learning outcomes | p. 58 |
5.1 Management consultancy and research: an overview | p. 59 |
5.2 Initiating the consultancy/research process: meeting/identifying the client | p. 59 |
5.3 The consultancy research project/topic | p. 63 |
5.4 Planning and agreeing the consultancy/research brief | p. 67 |
5.5 Designing and agreeing the research plan | p. 68 |
5.6 Completing the consultancy cycle | p. 69 |
5.7 Concluding comments | p. 70 |
5.8 References | p. 70 |
5.9 Glossary | p. 71 |
6 An Overview of Data Collection: Approaches, Methods, and Techniques | p. 72 |
Learning outcomes | p. 72 |
6.1 Data, information, and decisions | p. 73 |
6.2 Types of data | p. 74 |
6.3 Methods of data collection | p. 77 |
6.4 Issues in data collection | p. 78 |
6.5 Choosing between data collection methods | p. 82 |
6.6 Concluding comments | p. 85 |
6.7 References | p. 86 |
6.8 Glossary | p. 87 |
7 Data Collection: Secondary Data | p. 88 |
Learning outcomes | p. 88 |
7.1 Secondary data: meaning and scope | p. 89 |
7.2 Planning secondary data collection | p. 91 |
7.3 Internal secondary data | p. 95 |
7.4 External secondary data | p. 97 |
7.5 Criteria for evaluating secondary data | p. 102 |
7.6 Concluding comments | p. 104 |
7.7 References | p. 104 |
7.8 Glossary | p. 105 |
8 Data Collection: Observational Research | p. 107 |
Learning outcomes | p. 107 |
8.1 The nature and purpose of observational research | p. 108 |
8.2 Observation approaches and techniques | p. 110 |
8.3 Planning and implementing observational research | p. 116 |
8.4 Other issues in observational research | p. 119 |
8.5 Concluding comments | p. 121 |
8.6 References | p. 121 |
8.7 Glossary | p. 122 |
9 Data Collection: Experimental, Quasi-experimental, and Action Research | p. 123 |
Learning outcomes | p. 123 |
9.1 The nature and purpose of experimentation: classical experimentation | p. 124 |
9.2 Structuring experimental research design: key steps | p. 128 |
9.3 Quasi-experimentation | p. 132 |
9.4 Action research | p. 134 |
9.5 Concluding comments | p. 137 |
9.6 References | p. 138 |
9.7 Glossary | p. 139 |
10 Data Collection: Asking Questions | p. 140 |
Learning outcomes | p. 140 |
10.1 Ethics in research | p. 141 |
10.2 Questioning as a means of data collection | p. 143 |
10.3 Interviews | p. 146 |
10.4 Questionnaires, surveys, and samples | p. 151 |
10.5 Surveys | p. 160 |
10.6 Concluding comments | p. 165 |
10.7 References | p. 166 |
10.8 Glossary | p. 167 |
11 Analyzing Data: Nature and Purpose | p. 168 |
Learning outcomes | p. 168 |
11.1 Using and building models | p. 169 |
11.2 Modeling through equations | p. 170 |
11.3 Building models | p. 172 |
11.4 Analysis: nature and roles | p. 173 |
11.5 The purpose of analysis | p. 176 |
11.6 Quantitative versus qualitative data analysis | p. 177 |
11.7 Concluding comments | p. 180 |
11.8 References | p. 181 |
11.9 Glossary | p. 181 |
12 Analyzing Qualitative Data | p. 182 |
Learning outcomes | p. 182 |
12.1 Qualitative analysis | p. 183 |
12.2 Semiotics | p. 188 |
12.3 Dialectics: an alternative form of argument | p. 192 |
12.4 Steps in analyzing qualitative data | p. 194 |
12.5 Issues in and approaches to analyzing qualitative data | p. 196 |
12.6 Concluding comments | p. 197 |
12.7 References | p. 198 |
12.8 Glossary | p. 199 |
13 Actioning Research | p. 200 |
Learning outcomes | p. 200 |
13.1 Interpreting and diagnosing research findings, making recommendations and taking decisions | p. 201 |
13.2 Designing the implementation and action plans | p. 204 |
13.3 Implementation and follow up | p. 204 |
13.4 Control and evaluation: disengagement | p. 206 |
13.5 Concluding Comments | p. 208 |
13.6 References | p. 209 |
13.7 Glossary | p. 210 |
Appendix I Activity Solutions | p. 211 |
Appendix II Bibliography | p. 219 |
Appendix III Introduction to Management Research | p. 227 |
Appendix IV Internet Gateways, Research and Databases, Search Engines and Directories for Social Science Researchers | p. 234 |
Appendix V Amalgamated Glossary | p. 236 |
Appendix VI Referencing and Advice on Presentation | p. 241 |
Appendix VII Resources for Methods in Evaluation and Social Research | p. 287 |
Index | p. 289 |