Susan Rose is Professor Emerita, Henley Business School, University of Reading, UK.Nigel Spinks is Lecturer in Systems and Processes, Henley Business School, University of Reading, UK.Ana Isabel Canhoto is Professor of Digital Business, University of Sussex Business School, UK.

“This book takes the reader through a logical and sequential process to make a success of any type of management research project, be they large or small, from defining the problem through to communicating the results. It is written in an engaging style, with lots of relevant examples to illustrate both theory and practice. It’s a ‘must-have’ for students or practitioners seeking advice on the topic.” Douglas West, Emeritus Professor, King’s Business School, King’s College London."This superbly comprehensive textbook has been updated for content and practical ease of use in an online world. This book brings together essential theoretical concepts together with practical real business world examples in a way that enables students to understand and implement the key concepts. The strong evidence-based approach and support material strongly supports anyone wanting to embark on a business research project, which makes this an essential read for both students and managers." Deborah Roberts, Professor of Marketing and Innovation Management, The University of York, School for Business and Society

• List of figuresList of tablesPrefaceAcknowledgementsGlossaryPART I Define1 Researching in business and management1.1 Introduction1.2 Defining management research1.3 The relationship between research and practice1.4 The relationship between research and theory1.5 Research and philosophy1.6 Reflexivity and the researcher2 Formulating your research problem2.1 Introduction2.2 A problem-solving view of research2.3 Choosing a research problem2.4 Developing your research questions3 Reviewing the Literature3.1 Introduction3.2 Undertaking a critical review3.3 Search3.4 Capture3.5 Synthesize3.6 PresentPART II Design4 Designing your research4.1 Introduction4.2 Integrating theory into your research4.3 What are quantitative, qualitative or mixed methods?4.4 Linking research design to your research questions4.5 Time horizon4.6 Primary and secondary data4.7 Quality in Research5 Conducting research ethically and inclusively5.1 Introduction5.2 Ethics in research5.3 Avoidance of harm or loss of dignity5.4 Transparency and honesty5.5 Right to privacy5.6 Inclusivity in research5.7 Ethics in online research5.8 The role of codes of ethics and gaining ethical approval5.9 Researcher integrity5.10 Identifying the ethical dimensions of your own research project6 Quantitative Research Designs6.1 Introduction6.2 Experimental and quasi-experimental designs6.3 Natural experiments and correlational studies6.4 Survey studies6.5 Content analysis6.6 Data-driven quantitative research6.7 Choosing a quantitative research design7 Qualitative and Mixed Methods Research Designs7.1 Introduction7.2 Ethnography7.3 Grounded theory7.4 Case study research design7.5 Action research7.6 Interview studies7.7 Qualitative approaches to language analysis7.8 Choosing a qualitative research design7.9 Mixed method research designs8 Planning and managing your research project8.1 Introduction8.2 Selecting a research design8.3 Planning your research project8.4 Managing your research project8.5 Keeping a research diary8.6 Preparing a research proposalPART III Collect9 Sampling9.1 Introduction9.2 What is a sample?9.3 Sampling methods9.4 Sampling in quantitative, qualitative, and mixed-methods research9.5 Sample size9.6 Accessing and recruiting your sample10 Collecting data using questionnaires10.1 Introduction10.2 Why and when to use a questionnaire10.3 The questionnaire design process10.4 Identify relevant concepts/variables10.5 Formulate your questions and decide the level of measurement10.6 Structure and lay out the questionnaire10.7 Pre-test and pilot the questionnaire10.8 Administer and distribute the questionnaire11 Collecting data using in-depth interviews11.1 Introduction11.2 Individual interviews11.3 Group interviews11.4 Capturing and storing your interview data12 Collecting data using diaries and naturally occurring data12.1 Introduction12.2 Diaries and other researcher-instigated documents12.3 Collecting data by observation12.4 Collecting data through social media12.5 Collecting documents and other records12.6 Big data12.7 ArtefactsPART IV Analyse13 Analysing quantitative data13.1 Introduction13.2 Entering your data13.3 Preparing your data for analysis13.4 Exploring and describing your data13.5 Answering your research questions13.6 Presenting your findings13.7 Summary of chart types used in this chapter13.8 Summary of statistical tests used in this chapter14 Analysing qualitative data14.1 Introduction14.2 Preparing and organizing your data14.3 Coding your data14.4 Using computers in qualitative data analysis14.5 Using visualization to make connections14.6 Answering your research question14.7 Drawing and verifying conclusions14.8 Reporting qualitative data analysisPART V Communicate15 Reporting your research15.1 Introduction15.2 Writing for an academic qualification15.3 Writing for an academic journal15.4 Writing for a practitioner audience15.5 The process of writing15.6 Presenting your research project15.7 Other ways of disseminating your research

Susan Rose is Professor Emerita, Henley Business School, University of Reading, UK.Nigel Spinks is Lecturer in Systems and Processes, Henley Business School, University of Reading, UK.Ana Isabel Canhoto is Professor of Digital Business, University of Sussex Business School, UK.

“This book takes the reader through a logical and sequential process to make a success of any type of management research project, be they large or small, from defining the problem through to communicating the results. It is written in an engaging style, with lots of relevant examples to illustrate both theory and practice. It’s a ‘must-have’ for students or practitioners seeking advice on the topic.” Douglas West, Emeritus Professor, King’s Business School, King’s College London."This superbly comprehensive textbook has been updated for content and practical ease of use in an online world. This book brings together essential theoretical concepts together with practical real business world examples in a way that enables students to understand and implement the key concepts. The strong evidence-based approach and support material strongly supports anyone wanting to embark on a business research project, which makes this an essential read for both students and managers." Deborah Roberts, Professor of Marketing and Innovation Management, The University of York, School for Business and Society

• List of figuresList of tablesPrefaceAcknowledgementsGlossaryPART I Define1 Researching in business and management1.1 Introduction1.2 Defining management research1.3 The relationship between research and practice1.4 The relationship between research and theory1.5 Research and philosophy1.6 Reflexivity and the researcher2 Formulating your research problem2.1 Introduction2.2 A problem-solving view of research2.3 Choosing a research problem2.4 Developing your research questions3 Reviewing the Literature3.1 Introduction3.2 Undertaking a critical review3.3 Search3.4 Capture3.5 Synthesize3.6 PresentPART II Design4 Designing your research4.1 Introduction4.2 Integrating theory into your research4.3 What are quantitative, qualitative or mixed methods?4.4 Linking research design to your research questions4.5 Time horizon4.6 Primary and secondary data4.7 Quality in Research5 Conducting research ethically and inclusively5.1 Introduction5.2 Ethics in research5.3 Avoidance of harm or loss of dignity5.4 Transparency and honesty5.5 Right to privacy5.6 Inclusivity in research5.7 Ethics in online research5.8 The role of codes of ethics and gaining ethical approval5.9 Researcher integrity5.10 Identifying the ethical dimensions of your own research project6 Quantitative Research Designs6.1 Introduction6.2 Experimental and quasi-experimental designs6.3 Natural experiments and correlational studies6.4 Survey studies6.5 Content analysis6.6 Data-driven quantitative research6.7 Choosing a quantitative research design7 Qualitative and Mixed Methods Research Designs7.1 Introduction7.2 Ethnography7.3 Grounded theory7.4 Case study research design7.5 Action research7.6 Interview studies7.7 Qualitative approaches to language analysis7.8 Choosing a qualitative research design7.9 Mixed method research designs8 Planning and managing your research project8.1 Introduction8.2 Selecting a research design8.3 Planning your research project8.4 Managing your research project8.5 Keeping a research diary8.6 Preparing a research proposalPART III Collect9 Sampling9.1 Introduction9.2 What is a sample?9.3 Sampling methods9.4 Sampling in quantitative, qualitative, and mixed-methods research9.5 Sample size9.6 Accessing and recruiting your sample10 Collecting data using questionnaires10.1 Introduction10.2 Why and when to use a questionnaire10.3 The questionnaire design process10.4 Identify relevant concepts/variables10.5 Formulate your questions and decide the level of measurement10.6 Structure and lay out the questionnaire10.7 Pre-test and pilot the questionnaire10.8 Administer and distribute the questionnaire11 Collecting data using in-depth interviews11.1 Introduction11.2 Individual interviews11.3 Group interviews11.4 Capturing and storing your interview data12 Collecting data using diaries and naturally occurring data12.1 Introduction12.2 Diaries and other researcher-instigated documents12.3 Collecting data by observation12.4 Collecting data through social media12.5 Collecting documents and other records12.6 Big data12.7 ArtefactsPART IV Analyse13 Analysing quantitative data13.1 Introduction13.2 Entering your data13.3 Preparing your data for analysis13.4 Exploring and describing your data13.5 Answering your research questions13.6 Presenting your findings13.7 Summary of chart types used in this chapter13.8 Summary of statistical tests used in this chapter14 Analysing qualitative data14.1 Introduction14.2 Preparing and organizing your data14.3 Coding your data14.4 Using computers in qualitative data analysis14.5 Using visualization to make connections14.6 Answering your research question14.7 Drawing and verifying conclusions14.8 Reporting qualitative data analysisPART V Communicate15 Reporting your research15.1 Introduction15.2 Writing for an academic qualification15.3 Writing for an academic journal15.4 Writing for a practitioner audience15.5 The process of writing15.6 Presenting your research project15.7 Other ways of disseminating your research

Susan Rose is Professor Emerita, Henley Business School, University of Reading, UK.Nigel Spinks is Lecturer in Systems and Processes, Henley Business School, University of Reading, UK.Ana Isabel Canhoto is Professor of Digital Business, University of Sussex Business School, UK.

“This book takes the reader through a logical and sequential process to make a success of any type of management research project, be they large or small, from defining the problem through to communicating the results. It is written in an engaging style, with lots of relevant examples to illustrate both theory and practice. It’s a ‘must-have’ for students or practitioners seeking advice on the topic.” Douglas West, Emeritus Professor, King’s Business School, King’s College London."This superbly comprehensive textbook has been updated for content and practical ease of use in an online world. This book brings together essential theoretical concepts together with practical real business world examples in a way that enables students to understand and implement the key concepts. The strong evidence-based approach and support material strongly supports anyone wanting to embark on a business research project, which makes this an essential read for both students and managers." Deborah Roberts, Professor of Marketing and Innovation Management, The University of York, School for Business and Society

• List of figuresList of tablesPrefaceAcknowledgementsGlossaryPART I Define1 Researching in business and management1.1 Introduction1.2 Defining management research1.3 The relationship between research and practice1.4 The relationship between research and theory1.5 Research and philosophy1.6 Reflexivity and the researcher2 Formulating your research problem2.1 Introduction2.2 A problem-solving view of research2.3 Choosing a research problem2.4 Developing your research questions3 Reviewing the Literature3.1 Introduction3.2 Undertaking a critical review3.3 Search3.4 Capture3.5 Synthesize3.6 PresentPART II Design4 Designing your research4.1 Introduction4.2 Integrating theory into your research4.3 What are quantitative, qualitative or mixed methods?4.4 Linking research design to your research questions4.5 Time horizon4.6 Primary and secondary data4.7 Quality in Research5 Conducting research ethically and inclusively5.1 Introduction5.2 Ethics in research5.3 Avoidance of harm or loss of dignity5.4 Transparency and honesty5.5 Right to privacy5.6 Inclusivity in research5.7 Ethics in online research5.8 The role of codes of ethics and gaining ethical approval5.9 Researcher integrity5.10 Identifying the ethical dimensions of your own research project6 Quantitative Research Designs6.1 Introduction6.2 Experimental and quasi-experimental designs6.3 Natural experiments and correlational studies6.4 Survey studies6.5 Content analysis6.6 Data-driven quantitative research6.7 Choosing a quantitative research design7 Qualitative and Mixed Methods Research Designs7.1 Introduction7.2 Ethnography7.3 Grounded theory7.4 Case study research design7.5 Action research7.6 Interview studies7.7 Qualitative approaches to language analysis7.8 Choosing a qualitative research design7.9 Mixed method research designs8 Planning and managing your research project8.1 Introduction8.2 Selecting a research design8.3 Planning your research project8.4 Managing your research project8.5 Keeping a research diary8.6 Preparing a research proposalPART III Collect9 Sampling9.1 Introduction9.2 What is a sample?9.3 Sampling methods9.4 Sampling in quantitative, qualitative, and mixed-methods research9.5 Sample size9.6 Accessing and recruiting your sample10 Collecting data using questionnaires10.1 Introduction10.2 Why and when to use a questionnaire10.3 The questionnaire design process10.4 Identify relevant concepts/variables10.5 Formulate your questions and decide the level of measurement10.6 Structure and lay out the questionnaire10.7 Pre-test and pilot the questionnaire10.8 Administer and distribute the questionnaire11 Collecting data using in-depth interviews11.1 Introduction11.2 Individual interviews11.3 Group interviews11.4 Capturing and storing your interview data12 Collecting data using diaries and naturally occurring data12.1 Introduction12.2 Diaries and other researcher-instigated documents12.3 Collecting data by observation12.4 Collecting data through social media12.5 Collecting documents and other records12.6 Big data12.7 ArtefactsPART IV Analyse13 Analysing quantitative data13.1 Introduction13.2 Entering your data13.3 Preparing your data for analysis13.4 Exploring and describing your data13.5 Answering your research questions13.6 Presenting your findings13.7 Summary of chart types used in this chapter13.8 Summary of statistical tests used in this chapter14 Analysing qualitative data14.1 Introduction14.2 Preparing and organizing your data14.3 Coding your data14.4 Using computers in qualitative data analysis14.5 Using visualization to make connections14.6 Answering your research question14.7 Drawing and verifying conclusions14.8 Reporting qualitative data analysisPART V Communicate15 Reporting your research15.1 Introduction15.2 Writing for an academic qualification15.3 Writing for an academic journal15.4 Writing for a practitioner audience15.5 The process of writing15.6 Presenting your research project15.7 Other ways of disseminating your research