Management Research Methodology: Integration of Methods and Techniques

Management Research Methodology: Integration of Methods and Techniques

The subject of management research methodology is enthralling and complex. A student or a practitioner of management research is beguiled by uncertainties in the search and identification of the research problem, intrigued by the ramifications of research design, and confounded by obstacles in obtai...

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Detalles Bibliográficos
Otros Autores: Krishnaswamy, K. N Author (author), Sivakumar, Appa Iyer Contributor (contributor), Mathirajan, M Contributor
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] Prentice Hall Imprint 2009
Edición:1st edition
Colección:Always learning.
Materias:
Management > Research.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627956806719
Tabla de Contenidos:
  • Cover
  • Preface
  • About the Authors
  • Contents
  • Part A: Scientific Method in Management Research
  • Chapter 1: Scientific Method
  • Introduction
  • Defining Research
  • Scientific Enquiry
  • Scientific Method
  • Formal Science and Empirical Science
  • Logic of Scientific Method
  • Hypothetico deductive Method
  • Models
  • Scientific Attitude
  • Issues of Management Research
  • Use of Scientific Method
  • Alternative Perspectives of Management Research
  • Summary
  • Suggested Readings
  • Questions and Exercises
  • Chapter 2: Overview of Research in Management
  • Scientific Research in Management
  • Research Problem Identification
  • Research Problem Definition
  • Generation of Hypotheses
  • Formulation of Research Problems
  • Research Design
  • Classification of Designs
  • Issues of Research Design
  • Research Design Process
  • Selection of the Type of Research
  • Measurement and Measurement Techniques
  • Selection of Sample
  • Selection of Data Collection Procedures
  • Selection of Methods of Analysis
  • Decisional Research with Mathematical Models
  • Some Philosphic Issues of Management Research
  • Paradigms
  • Consultative Approach to Management Research
  • Errors in Research
  • Summary
  • Annexure 2.1
  • Suggested Readings
  • Questions and Exercises
  • Part B: Research Problem
  • Chapter 3: Problem Solving
  • General Problem Solving
  • What is a Problem?
  • Types of Problems
  • Problem Solving Process
  • Logical Approach
  • Soft System Approach
  • Creative Approach
  • Thinking Process
  • Creative Thinking
  • Creative Efforts in Research
  • Barriers to Creativity
  • Creative Problem Solving Process
  • Development of Creativity
  • Group Problem Solving Techniques for Idea Generation
  • Introduction
  • Brainstorming
  • Delphi Method
  • Summary
  • Annexure 3.1-An Illustration of a Case of Application of SSM
  • Suggested Readings.
  • Questions and Exercises
  • Chapter 4: Formulation of Research Problems
  • Introduction
  • Approaches to Management Research Problem
  • Management Problem is Posed to the Researcher
  • Investigation of an Idea by an Experienced Researcher
  • Pilot Study
  • Initiatiation of a Novice/Student to Research
  • Exploration for Problem Identification
  • Literature Survey
  • System Study
  • Errors of Problem Identification in Research
  • Hypothesis Generation
  • Introduction
  • Variables
  • Characteristics of a Good Hypothesis
  • Origins of a Hypothesis
  • Process of Hypothesis Generation
  • Hypothesis Generation Using Qualitative Methods
  • Formulation of The Problem
  • Model Building Context
  • Decision Maker and His Objectives
  • Environment
  • Alternative Courses of Action
  • Scenarios and Structural Modelling
  • Interpretive Structural Modelling (ISM)
  • Formulation of Effectiveness Function
  • Summary
  • Annexure 4.1-An Example of Taxonomy
  • Annexure 4.2-An Example for Meta Analysis
  • Annexure 4.3-An Illustrative Example of Theoretical Framework
  • Annexure 4.4-Examples of Hypothesis Generation
  • Annexure 4.5-System Study and Problem Formulation-Allocation of Assembly Manpower (Karthikeyan 1986)
  • Annexure 4.6
  • Suggested Readings
  • Questions and Exercises
  • Chapter 5: Research Proposal
  • Research Proposal
  • Purpose of a Research Proposal
  • Types of Research Proposals
  • Development of the Proposals
  • Formatting the Research Proposal
  • Contents of the Research Proposal
  • Requirements of the Sponsoring Agent
  • Evaluation of Research Proposals
  • Some Implicit Considerations
  • Summary
  • Annexure 5.1-Sample (Real) Research Proposal (Krishnaswamy et al, 1997)
  • Suggested Readings
  • Questions and Exercises
  • Part C: Research Design-Types of Research
  • Chapter 6: Experimental Research
  • Experimental Research
  • Principles of Experiment.
  • Laboratory Experiments
  • Difficulties of Performing Laboratory Experiments
  • Design of Laboratory Experiments
  • Execution of Laboratory Experiments
  • Strength and Weakness of Experiments
  • Errors in Experiments
  • Experimental Designs
  • Basis of Experimental Design
  • Basic Designs
  • Statistical Designs
  • Field Experiments
  • Quasi-Experimental Designs
  • Quasi-Experimental Designs
  • A Comparison of The Two Quasi-Experimental Designs
  • Use of Quasi-Experimental Designs
  • Action Research
  • Defining Action Research
  • Process of Action Research
  • Comparison of Action Research with Experiments
  • Scientific Merits of Action Research
  • Validity and Reliability of Experiments and Quasi-Experiments
  • Concept of Validity and Reliability
  • Validity in Experimentation and Quasi-Experimentation
  • Validity of Quasi-Experimentation
  • Sources of Invalidity of Experiments and Quasi-experiments
  • Choice of Experimental Design
  • Analysis Procedures Used in Experimental Design
  • Summary
  • Annexure 6.1-A Laboratory Experiment
  • Annexure 6.2-A Randomised Two-Group Experiment
  • Annexure 6.3-Solomon Four-Group Design
  • Annexure 6.4-Factorial Design
  • Annexure 6.5-Randomised Block Design
  • Annexure 6.6-An Action Research Case
  • Suggested Readings
  • Questions and Exercises
  • Chapter 7: Ex Post Facto Research
  • Introduction
  • Ex Post Facto Research by Objective
  • Exploratory Research
  • Historical Research
  • Descriptive Research
  • Ex Post Facto Research by Nature of Study
  • Field Studies
  • Survey Research
  • Qualitative Research Methods
  • Case Study Research
  • Participant Observation
  • Ethnographic Methods
  • Critical Incident Technique
  • Repertory Grid Technique (RGT)
  • Some Additional Qualitative Research Methods
  • Triangulation
  • Analysis Procedures for Qualitative Data
  • Evaluation Research
  • Outcome Evaluation.
  • Formative Evaluation Research
  • Summary
  • Annexure 7.1-An Example of Explorative Research
  • Annexure 7.2-An Example of Descriptive Research
  • Annexure 7.3-An Example of Field Research
  • Annexure 7.4-An Example for Survey Research
  • Annexure 7.5-An Example for Case Study Research
  • Annexure 7.6-Example of Cognitive Mapping
  • Suggested Readings
  • Questions and Exercises
  • Chapter 8: Modelling Research I-Mathematical Modelling
  • Introduction
  • Mathematical Models
  • What is a Model?
  • Development of Models
  • Principles of Modeling
  • Patterns of Model Building
  • Use of Analogy in Modelling
  • Models as Approximations
  • Data Consideration in Modelling
  • Models as Heuristic Instruments
  • Solutions of Models
  • Testing of Models
  • Composite Modelling Methods
  • Summary
  • Annexure 8.1(a)-Illustration of Modelling A
  • Annexure 8.1(b)-Illustration of Modelling B
  • Annexure 8.2(a)-Illustration for Composite Methodology A
  • Annexure 8.2(b)-Illustration of Composite Methodology B
  • Suggested Readings
  • Questions and Exercises
  • Chapter 9: Modelling Research II-Heuristics and Simulation
  • Heuristic Optimisation
  • Definition of Heuristics
  • Why Use Heuristics?
  • Heuristic Methods
  • Heuristics Problem-Solving Approaches
  • Meta-Heuristics
  • Choice of Heuristic Methods
  • Evaluation of Heuristics
  • Evaluation of Heuristics in Empirical Analysis
  • Sources of Problem Instances
  • Performance Measures/Measure of Effectiveness
  • Examples of Heuristic Optimisation
  • Advantages and Limitations of Heuristic Methods
  • Simulation Modelling
  • Meaning of Simulation
  • What is Simulation?
  • Classification of Simulation Models
  • The Process of Simulation
  • Key Steps in Simulation Experiments
  • Validation of Simulation Models/Experiments
  • Summary
  • Annexure 9.1-Demonstration of Constructive Heuristics and SA (Simulated Annealing).
  • Annexure 9.2-Illustration of Heuristics
  • Annexure 9.3-Illustration for Empirical Evaluation of Greedy Heuristics
  • Annexure 9.4-Illustration for Monte Carlo Simulation
  • Annexure 9.5-Illustration for Simulation from Actual Research
  • Suggested Readings
  • Questions and Exercises
  • Part D: Research Design for Data Acquisition
  • Chapter 10: Measurement Design
  • Introduction
  • Primary Types of Measurement Scales
  • Nominal Scales
  • Ordinal Scales
  • Interval Scales
  • Ratio Scales
  • Errors in Measurement
  • Validity and Reliability in Measurement
  • Validity of Measurement
  • Reliability in Measurement
  • Types of Scaling (Scale Classification)
  • Response Methods
  • Quantitative Judgment Methods
  • Scale Construction Techniques
  • Judgment Methods
  • Factor Scales
  • Summary
  • Annexure 10.1-Illustrative Example: Content Validity
  • Annexure 10.2-Illustrative Example: Concurrent and External Validity
  • Annexure 10.3-Illustrative Example: Construct Validity
  • Annexure 10.4-Illustrative Example: Reliability in Measurement
  • Suggested Readings
  • Questions and Exercises
  • Chapter 11: Sample Design
  • Introduction
  • Sampling Process
  • Non-Probability Sampling
  • Probability Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Sampling
  • Systematic Random Sampling
  • Area Sampling
  • Determination of Sample Size
  • Required Size/Cell
  • Use of Statistical Models
  • Bayesian Method for Determination of Sample Size
  • Illustrative Examples of Sample Size Determination
  • Summary
  • Suggested Readings
  • Questions and Exercises
  • Part E: Acquisition and Preparation of Research Data
  • Chapter 12: Data Collection Procedures
  • Introduction
  • Sources of Secondary Data
  • Internal Sources
  • External Sources
  • Computer Search for Secondary Data
  • Primary Data Collection Methods
  • Observation.
  • Evaluation of Observations as Data Collection Procedures.

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