Bachelorarbeit, 2006
57 Seiten, Note: 1,0
1 PREFACE
2 ABSTRACT
3 POLICY-CAPTURING STUDIES
4 CORPORATE GOVERNANCE AND GOVERNANCE DECISIONS
5 STEPS OF POLICY-CAPTURING
5.1 STEP 1: STUDY DESIGN
5.2 STEP 2: STUDY EXECUTION
5.3 STEP 3: ANALYSIS
5.4 STEP 4: INTERPRETING RESULTS
5.5 STEP 5: REPORTING RESULTS
6 ARTICLES
6.1 FINDING ARTICLES / DATA COLLECTION
6.2 ARTICLES FROM GOVERNANCE RESEARCH
6.2.1 Reasons for PC
6.2.2 Noteworthy Characteristics
6.3 ARTICLES FROM OTHER AREAS OF RESEARCH
6.3.1 Reasons for PC
6.3.2 Noteworthy Characteristics
7 OBSTACLES AND GUIDELINES
7.1 STEP 1: STUDY DESIGN
7.2 STEP 2: STUDY EXECUTION
7.3 STEP 3: ANALYSIS
7.4 STEP 4: INTERPRETING RESULTS
7.5 STEP 5: REPORTING RESULTS
8 CONJOINT ANALYSIS
8.1 STEPS OF CONJOINT ANALYSIS
8.2 QUESTIONS IN CONJOINT ANALYSIS
9 CONCLUSION
This thesis explores the application of the Policy-Capturing (PC) methodology within the field of corporate governance research. The primary research goal is to bridge the gap between traditional decision-making research methods and governance studies by demonstrating how PC can be used to gain insights into individual judgment processes. By reviewing existing literature, the work identifies methodological advantages and common obstacles to provide practical guidelines for researchers, ultimately aiming to enhance the validity and generalizability of future studies.
3 Policy-Capturing Studies
As already outlined previously, I will begin with a compendious introduction to PC studies, explaining its purpose, its fundamentals and its procedure.
PC is a field-experimental technique widely used in decision-making research in order to understand and improve individuals’ decision processes. It is an indirect method of attitude measurement, as opposed to e.g. traditional surveys or questionnaires, which allows for an assessment of the participants’ information-processing strategies.
PC experimentally manipulates the level of a number of theoretically determined criteria (so-called cues; the independent variables) which are then combined into various scenarios the decision-markers are asked to review and evaluate according to their personal judgment. The participants rate combinations rather than directly revealing their preferences which would demand far more self-insight.
Thus, PC allows for analyzing both the average behavior of groups of people making independent decisions (nomothetic), like in traditional between-subjects designs, and the decision-making behavior of individuals (idiographic).
The researchers’ aim is to capture individual decision policies and, eventually, arrive at a linear model of the judgment process, such as a regression equation, i.e. a mathematical description of the model that was used which shows how decision makers weight and combine different pieces of information.
Thereby, PC identifies relevant factors and provides instructive information about an individual’s information processing and judgment structure. The regression weights (so-called beta weights) can be interpreted as showing the cues’ respective relative importance if the cues are orthogonal.
1 PREFACE: Provides an introduction to the need for understanding managerial decision-making and introduces Policy-Capturing as a valuable experimental method for governance research.
2 ABSTRACT: Outlines the structural roadmap of the thesis, detailing the focus on methodology, article review, practical obstacles, and the introduction of conjoint analysis.
3 POLICY-CAPTURING STUDIES: Defines the fundamentals, purposes, and procedures of Policy-Capturing, contrasting it with traditional survey methods.
4 CORPORATE GOVERNANCE AND GOVERNANCE DECISIONS: Explains the core concepts of governance, governance decisions, and the various organizational forms involved in modern corporate structures.
5 STEPS OF POLICY-CAPTURING: Details the five key stages of a PC study, ranging from study design to result reporting.
6 ARTICLES: Presents a review of literature, analyzing how PC has been applied in governance research compared to other scientific fields.
7 OBSTACLES AND GUIDELINES: Identifies common research hurdles and offers constructive guidelines to improve validity and reliability in all five stages of PC.
8 CONJOINT ANALYSIS: Discusses the similarities and parallels between PC and conjoint analysis, highlighting their shared utility in modeling human choice behavior.
9 CONCLUSION: Summarizes the thesis’s main findings and provides a forward-looking perspective on the future use of Policy-Capturing in governance research.
Policy-Capturing, Corporate Governance, Governance Decisions, Decision-Making, Experimental Design, Methodology, Regression Analysis, Conjoint Analysis, Internal Validity, External Validity, Managerial Decisions, Research Guidelines, Behavioral Theory, Judgment Processes, Data Collection.
The thesis focuses on the application of the Policy-Capturing (PC) technique to study managerial decision-making within the domain of corporate governance.
The work covers methodological foundations of experimental decision research, practical obstacles in research design, and the intersection between organizational management and statistical modeling.
The goal is to provide inexperienced researchers with clear, actionable guidelines to improve the design, execution, and analysis of PC studies, thereby increasing the quality of empirical results.
The primary method is Policy-Capturing, an experimental technique that utilizes scenario-based cues to uncover an individual's implicit judgment policies.
It provides a comprehensive review of existing PC studies, identifies technical and procedural hurdles, and compares PC with the related technique of conjoint analysis.
Policy-Capturing, Governance, Experimental Research, Decision-Making, and Methodology are the defining terms of this research.
The author identifies striking parallels between the two techniques, noting that conjoint analysis offers valuable insights into multi-attribute decision-making that complement and enhance the PC approach.
The author recommends rigorous pretesting, the use of expert respondents, the inclusion of control variables, and careful scenario design to ensure findings reflect realistic decision contexts.
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