UNIT I
1) Research
     Research is the careful consideration of study regarding a
     particular concern or problem using scientific methods.
     According to the American sociologist Earl Robert Babbie,
     “research is a systematic inquiry to describe, explain, predict,
     and control the observed phenomenon. It involves inductive and
     deductive methods.”
    Research is conducted with a purpose to:
            Identify potential and new customers
            Understand existing customers
            Set pragmatic goals
            Develop productive market strategies
            Address business challenges
            Put together a business expansion plan
            Identify new business opportunities
Characteristics of research;
 1. Good research follows a systematic approach to capture accurate
    data. Researchers need to practice ethics and a code of conduct
    while making observations or drawing conclusions.
 2. The analysis is based on logical reasoning and involves both
    inductive and deductive methods.
 3. Real-time data and knowledge are derived from actual
    observations in natural settings.
 4. There is an in-depth analysis of all data collected so that there
    are no anomalies associated with it.
 5. It creates a path for generating new questions. Existing data
    helps create more research opportunities.
 6. It is analytical and uses all the available data so that there is no
    ambiguity in inference.
  7. Accuracy is one of the most critical aspects of research. The
     information must be accurate and correct. For example,
     laboratories provide a controlled environment to collect data.
     Accuracy is measured in the instruments used, the calibrations
     of instruments or tools, and the experiment’s final result.
Three main purposes of research;
   Exploratory: As the name suggests, researchers
    conduct exploratory studies to explore a group of questions. The
    answers and analytics may not offer a conclusion to the
    perceived problem. It is undertaken to handle new problem areas
    that haven’t been explored before. This exploratory process lays
    the foundation for more conclusive data collection and analysis.
  
   Descriptive: It focuses on expanding knowledge on current
    issues through a process of data collection. Descriptive
    research describe the behavior of a sample population. Only one
    variable is required to conduct the study. The three primary
    purposes of descriptive studies are describing, explaining, and
    validating the findings. For example, a study conducted to know
    if top-level management leaders in the 21st century possess the
    moral right to receive a considerable sum of money from the
    company profit.
  
   Explanatory: Causal or explanatory research is conducted to
    understand the impact of specific changes in existing standard
    procedures. Running experiments is the most popular form. For
    example, a study that is conducted to understand the effect of
    rebranding on customer loyalty.
  2) Types of research methods
        Qualitative methods
         Qualitative research is a method that collects data using
         conversational methods, usually open-ended questions.
         The responses collected are essentially non-numerical.
           This method helps a researcher understand what
           participants think and why they think in a particular way.
           Types of qualitative methods include:
              o   One-to-one Interview
              o   Focus Groups
              o   Ethnographic studies
              o   Text Analysis
              o   Case Study
         Quantitative methods
          Quantitative methods deal with numbers and
          measurable forms. It uses a systematic way of
          investigating events or data. It answers questions to justify
          relationships with measurable variables to either explain,
          predict, or control a phenomenon.
           Types of quantitative methods;
          o Survey research
          o Descriptive research
          o Correlational research
It is essential to ensure that your data is:
    o   Valid – founded, logical, rigorous, and impartial.
    o   Accurate – free of errors and including required details.
    o   Reliable – other people who investigate in the same way can
        produce similar results.
    o   Timely – current and collected within an appropriate time
        frame.
    o   Complete – includes all the data you need to support your
        business decisions.