Lec # 1 business research an introduction
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The document discusses scientific investigation in business research, focusing on the eight hallmarks of scientific research, such as rigor, testability, and objectivity. It outlines the hypothetico-deductive method, detailing seven steps from observation to deduction, and highlights the importance of precision, confidence, and generalizability in research findings. Additionally, it addresses the challenges of applying purely scientific methods in management research and introduces case studies and action research as alternative approaches.
Lec # 1 business research an introduction
- 3. Topics Discussed The hallmarks of science . Purposiveness . Rigor . Testability . Replicability (repetition of results) . Objectivity (facts oriented) . Generalizability . Parsimony Limitation to scientific research in management The building blocks of Science and the hypothetico-deductive method of research
- 4. Topics Discussed The seven steps of the hypothetico-deductive method of research 1- Observation 2- Preliminary information gathering 3- Theory Formulation 4- Hypothesizing 5- Further scientific data collection 6- Data analysis 7- Deduction
- 5. Topics Discussed Other types of research . Case studies . Action research
- 6. After completing this chapter you would be able to: Explain what is meant by scientific investigation giving examples of both scientific and nonscientific investigations Explain the eight hallmarks of Scientific Research Explain why research in the organizational behavior and management areas cannot be completely scientific. Describe the building blocks of science Discuss the seven steps of the hypothetico-deductive method. Appreciate the advantages of knowledge about scientific investigation.
- 7. Definition of Scientific Research Scientific Research focuses on solving problems and pursues a step-by-step logical, organized, and rigorous method to identify the problems, gather data, analyze them and draw valid conclusions therefore.
- 8. Why Scientific Research? Scientific research is not based on hunches, experience and intuition (though these may play a part in final decision making). It is purposive and rigorous. Enables all those who are interested in researching and knowing about the same or similar issues to come up with comparable findings when data are analyzed. This helps various other organizations to apply those solutions when they encounter similar problems. Findings are accurate and confident. It is more objective.
- 9. Cont. Highlights the most critical factors at the work place that need specific attention to solve or minimize problems. Scientific Investigation and Managerial Decision Making are integral part of effective problem solving. It applies to both basic and applied research. Applied research may or may not be generalizable to other organizations.
- 10. The Hallmarks of Scientific Research 1.Purposiveness 2.Rigor 3.Testability 4.Replicability 5.Precision and Confidence 6.Objectivity 7.Generalizability 8.Parsimony The hallmarks or main distinguishing characteristics of scientificThe hallmarks or main distinguishing characteristics of scientific research may be listed as follows:research may be listed as follows: Let us consider the case of a manager who is interested in investigating how employees’ commitment to the organization can be increased. We shall examine how the eight hallmarks of science apply to the investigation so that it may be considered ‘scientific’
- 11. Hallmarks of Scientific Research 1. Purposiveness It has to start with a definite aim or purpose. The focus is on increasing employees commitment. Increase employee commitment will translate into more turnover, less absenteeism and increased performance levels. Thus it has a purposive focus.
- 12. 2. Rigor A good theoretical base and sound methodological design would add rigor to the purposive study. Rigor adds carefulness, scrupulousness and the degree of exactitude in research. In the case of our example: Let us say the manager asks 10-12 employees how to increase the level of commitment. If solely on the basis of their responses the manager reaches several conclusions on how employee commitment can be increased, the whole approach to the investigation would be unscientific. It would lack rigor for the following reasons:
- 13. 1. Based on few employees whose opinions may not be representative of those of the entire workforce 2. Bias and incorrectness, due to the manner of framing and addressing the questions, 3. There might be other influences on commitment which are ignored and are important for a researcher to know Thus, Rigorous research involves a good theoretical base and a carefully thought-out methodology. These factors enable the researcher to collect the right kind of information from an appropriate sample with the minimum degree of bias, and facilitate suitable analysis of the data gathered.
- 14. 3. Testability The researcher might hypothesize that thoseThe researcher might hypothesize that those employees who perceive greateremployees who perceive greater opportunities for participation in decisionopportunities for participation in decision making would have a higher level ofmaking would have a higher level of commitment.commitment. After random selection of employees of the organization andAfter random selection of employees of the organization and study of the previous research done in the same area, thestudy of the previous research done in the same area, the manager or researcher develops certain hypothesis on howmanager or researcher develops certain hypothesis on how employee commitment can be enhanced, then these can beemployee commitment can be enhanced, then these can be tested by applying certain statistical tests to the data collectedtested by applying certain statistical tests to the data collected for the purpose.for the purpose.
- 15. 4. Replicability Let us suppose that the manager/researcher, based on the results of the study, concludes that participation in decision making is one of the most important factors that influences the commitment of employees to the organization. we will place more faith and credence in these findings and conclusion if similar findings emerge on the basis of data collected by other organizations employing the same methods.
- 16. In management research, we seldom have the luxury of being able to draw “definitive” conclusions on the basis of the results of data analysis. This is because we are unable to study the universe of items or population we are interested in, as we base our findings on a sample that we draw from the population. However, we would like to design the research in a manner that ensures that our findings are as close to reality as possible, so that we can place reliance or confidence in the results. . Precision Precision refers to the closeness of the findings to “reality” based on a sample. It reflects the degree of accuracy and exactitude of the results of the sample. Example: If a researcher estimated the number of production days lost during the year due to absenteeism at between 30 and 40, as against the actual of 35, the precision of his estimation more favorably than if he had indicated that the loss of production days was somewhere between 20 and 50. This would remind us with term confidence interval 5. Precision and Confidence
- 17. Confidence Confidence refers to the probability that our estimations are correct. That is, it is not merely enough to be precise, but it is also important that we can confidently claim that 95% of the time our results would be true and there is only a 5% chance of our being wrong. This is also known as confidence level.
- 18. 6. Objectivity The conclusions drawn through the interpretation of the results of data analysis should be objective; that is, they should be based on the facts of the findings derived from actual data, and not on our subjective or emotional values. For instance: If we had a hypothesis that stated that greater participation in decision making will increase organizational commitment and this was not supported by the results, it makes no sense if the researcher continues to argue that increased opportunities for employee participation would still help! The more objective in the interpretation of the data, the more scientific the research investigation becomes.
- 19. 7. Generalizability Generalizability refers to “the scope of applicability of the research findings in one organization setting to other settings”. Obviously, the wider the range of applicability of the solutions generated by research, the more useful the research is to the users. For instance: If a researcher’s findings that participation in decision making enhances organizational commitment are found to be true in a variety of manufacturing, industrial, and service organizations, and not merely in the particular organization studied by the researcher, then the generalizability of the findings to other organizational settings is enhanced. The more generalizable the research, the greater its usefulness and value.
- 20. 8. Parsimony “Simplicity & economy” in explaining the phenomena or problems that occur, and in generating solutions for the problems, is always preferred to complex research frameworks that consider an unmanageable number of factors. For instance, if 2-3 specific variables in the work situation are identified, which when changed would raise the organizational commitment of the employees by 45%, that would be more useful and valuable to the manager than if it were recommended that he should change 10 different variables to increase organizational commitment by 48%. Therefore, the achievement of a meaningful and parsimonious, rather than an elaborate and cumbersome, model for problem solution becomes a critical issue in research.
- 21. Some Obstacles To Conducting Scientific Research In The Management Area In the management and behavioral areas, it is not always possible to conduct investigations that 100% scientific, it is not like the physical Sciences, the results obtained will not be exact and error-free. This is because of the difficulties encountered in the measurement and collection of data in the subjective areas of feelings, emotions, attitudes, and perceptions.
- 22. The Building Blocks of Science in Research One of the primary methods of scientific investigation is the hypothetico-deductive method. Deduction and Inductions Answers to issues can be found either by the process of deduction or the process of induction, or by a combination of the two.
- 23. Deduction Deduction is the process by which we arrive at a reasoned conclusion by logical generalization of a known fact. Example: we know that all high performers are highlyExample: we know that all high performers are highly proficient in their jobs.proficient in their jobs. If John is a high performer, we then conclude that heIf John is a high performer, we then conclude that he is highly proficient in his jobis highly proficient in his job
- 24. Induction Induction is a process where we observe certain phenomena and on this basis arrive at conclusions. In other words, in induction we logicallyIn other words, in induction we logically establish a general proposition based onestablish a general proposition based on observed facts.observed facts.
- 26. 1. Identify a broad problem area Observation is the first stage, in which one senses that certain changes are occurring or that some new behaviors, attitudes, and feelings are surfacing in one’s environment (i.e., the work place). How does one observe phenomena and changes in the environment? The people-oriented manager is always sensitive to and aware of what is happening in and around the workplace. Changes in attitudes, behaviors, communication patterns and styles can be picked up by managers who are sensitive to the various differences. These changes could attract the attention of the manager and catalyze the research project.
- 27. These broader problem areas / areas of interest could be: A drop in sales Frequent production interruptions Incorrect accounting results Low yielding investments Disinterestedness of employees in their work Customer switching Employee dissatisfaction Employee turnover Frequent employee absenteesm Corporate governance Behavioral finance, etc. etc. etc.
- 28. 2. Define the problemstatement Scientific research starts with a definite aim or purpose. To find solutions for identified problems, a problem statement that includes the general objective and research questions of the research should be developed, Gathering initial information about the factors that are possibly related to the problem will help us to narrow down the broad problem area into a specific problem statement. It involves the seeking of information in depth, of what is observed. This could be done by talking informally to several people in the work setting or to clients or to other relevant sources, thereby gathering information on what is happening and why. (Unstructured interviews)
- 29. Then it is followed by structured interviews. Additionally by doing library research or obtaining information through other sources, the investigator would identify how such issues have been tackled in other situations. This information would give additional insight of possible factors that could be operating in particular situation-over and above those that had not surfaced in the previous interviews.
- 30. 3. Theoretical frameworkand hypothesis development Theoretical framework/Theory formulation Theory formulation, the next step is an attempt to integrate all the information in a logical manner, so that the factors responsible for the problem can be conceptualized and tested. Theoretical framework is the “diagram of the relationship of different variables”. The theoretical framework formulated is often guided by experience and intuition. In this step the critical variables are examined as to their contribution or influence in explaining why the problem occurs and how it can be solved. The network of associations identified among the variables would then be theoretically woven together with justification as to why they might influence the problem.
- 31. Hypothesizing It is the next logical step after theory formulation. From the theorized network of associations among the variables, certain testable hypotheses or educated conjectures can be generated. For instance, one might hypothesize that if a sufficient number of items are stocked on shelves, customer dissatisfaction will be considerably reduced. This is a hypothesis that can be tested to determine if the statement would be supported. Hypothesis testing is called deductive research. Sometimes, hypotheses that were not originally formulated do get generated through the process of induction. That is after data are obtained. Generally, in research, hypotheses testing through deductive research and hypotheses generation through induction are both common. Scientific hypothesis must meet two requirements; it must be testable it must be falsifiable
- 32. 4. Determine measures Theoretical framework may comprise concepts and constructs i.e. qualitative and quantitative variables. This step is to be done to measure qualitative variables (concepts) through the process of operationalization. Unless the variables in the theoretical framework are measured in some way, we will not be able to test our hypothesis. For example, to test the hypothesis that employee satisfaction affect organizational performance, we need to operationalize the terms of employee satisfaction and organizational performance.
- 33. 5. Data collection After measurement of variables, data with respect to each variable in the theoretical framework need to be obtained. These data then form the basis for data evaluation. The most common techniques for data collection from the targeted sample of the population include; Questionnaire Interviews, etc.
- 34. 6. Data Analysis In this step, data gathered are statistically analyzed to see if the hypotheses that were generated have been supported. For instance, to see if employee satisfaction influence organizational performance, one might want to do a correlation analysis and determine the relationship between the two factors. Analysis of both quantitative and qualitative data can be done to determine if certain conjectures are substantiated. Data can be analyzed by using different software packages most common of them are SPSS, E-views, Amos
- 35. 7. Interpretation of data/Deduction Deduction is the process of arriving at conclusions by interpreting the meaning of the results of the data analysis. For instance, if it was found from the data analysis that increasing the employee satisfaction was positively correlated to (increased) organizational performance (say 0.7), then one can deduce that if organizational performance is to be increased, the employees have to be better satisfied. 5.@
- 36. Other Types of Research 1. Case Studies 2. Action Research They are used sometimes to study certain types of issues.
- 37. Case Studies Case studies involve in-depth, contextual analyses of similar situations in other organizations, where the nature and definition of the problem happen to be the same as experienced in the current situation. Case study, as a problem-solving technique, is not often undertaken in organizations because such studies dealing with problems similar to the one experienced by a particular organization of a particular size and in a particular type of setting are difficult to come by. Moreover authentic case studies are difficult to find because many companies prefer to guard them as proprietary data. It should be noted that case studies usually provide qualitative rather quantitative data for analysis and interpretation. However, the application of case study analysis to certain organizational issues is relatively easy.
- 38. Action Research Action research methodology is most appropriate while affecting planned changes. Here the researcher begins with a problem that is already identified and gathers relevant data to provide a tentative problem solution. This solution is then implemented, with the knowledge that there may be unintended consequences following such implementation. The effects are then evaluated, defined, and diagnosed, and the research continues on an ongoing basis until the problem is fully resolved. Thus, action research is a constantly evolving project with interplay among problem, solution, effects, or consequences, and new solution.